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Cheng D, Rieu-Werden ML, Lykken JM, Werner CL, Feldman S, Silver MI, Atlas SJ, Tiro JA, Haas JS, Kamineni A. Assessing Management of Abnormal Cervical Cancer Screening Results and Concordance with Guideline Recommendations in Three US Healthcare Settings. Cancer Epidemiol Biomarkers Prev 2024:743205. [PMID: 38652505 DOI: 10.1158/1055-9965.epi-23-1564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 03/04/2024] [Accepted: 04/10/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Follow-up of abnormal results is essential to cervical cancer screening, but data on adherence to follow-up are limited. We describe patterns of follow-up after screening abnormalities and identify predictors of guideline-concordant follow-up. METHODS We identified the index screening abnormality (positive human papillomavirus [HPV] test or atypical squamous cells of undetermined significance [ASC-US] or more severe cytology) among women 25-65 years old at three U.S. healthcare systems during 2010-2019. We estimated the cumulative incidence of surveillance testing, colposcopy, or treatment after the index abnormality and initial colposcopy. Logistic regressions were fit to identify predictors of guideline-concordant follow-up according to contemporaneous guidelines. RESULTS Among 43,007 patients with an index abnormality, the cumulative incidence of any follow-up was 49.6% by 4 years for those with ASC-US/HPV-negative and higher for abnormalities warranting immediate colposcopy. The 1-year cumulative incidence of any follow-up after colposcopy was 70% for patients with normal results or cervical intraepithelial neoplasia (CIN) I and 90% for patients with CIN II+. Rates of concordant follow-up after screening and colposcopy were 52% and 47%. Discordant follow-up was associated with factors including age, race/ethnicity, overweight/obese BMI, and specific types of public payor coverage or being uninsured. CONCLUSIONS Adherence to recommended follow-up of cytologic and histopathologic abnormalities is inconsistent in clinical practice. Concordance was poor for mild abnormalities and improved, though suboptimal, for more severe abnormalities. IMPACT There remain gaps in the cervical cancer screening process in clinical practice. Further work is needed to understand barriers to appropriate management of cervical abnormalities.
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Affiliation(s)
- David Cheng
- Massachusetts General Hospital, Boston, United States
| | | | - Jacquelyn M Lykken
- The University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Claudia L Werner
- The University of Texas Southwestern Medical Center, Dallas, TX, United States
| | | | - Michelle I Silver
- Washington University in St. Louis School of Medicine, St. Louis, MO, United States
| | - Steven J Atlas
- Massachusetts General Hospital, Boston, MA, United States
| | - Jasmin A Tiro
- University of Chicago Biological Sciences Division, Chicago, IL, United States
| | | | - Aruna Kamineni
- Kaiser Permanente Washington Health Research Institute, Seattle, United States
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McDowell A, Rieu-Werden ML, Atlas SJ, Fields CD, Goldstein RH, Gundersen GD, Haas JS, Higashi RT, Pruitt SL, Silver MI, Tiro JA, Kamineni A. Characteristics of Clinicians Caring for Transgender Men and Nonbinary Individuals and Guideline Concordance of Clinicians' Cervical Cancer Screening Counseling for Cisgender Individuals Versus Transgender Men and Nonbinary Individuals with a Cervix. LGBT Health 2024. [PMID: 38648535 DOI: 10.1089/lgbt.2023.0067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2024] Open
Abstract
Purpose: We examined characteristics of clinicians caring for transgender men and nonbinary (TMNB) individuals and guideline concordance of clinicians' cervical cancer screening recommendations. Methods: Using a survey of clinicians who performed ≥10 cervical cancer screenings in 2019, we studied characteristics of clinicians who do versus do not report caring for TMNB individuals and guideline concordance of screening recommendations for TMNB individuals with a cervix versus cisgender women. Results: In our sample (N = 492), 49.2% reported caring for TMNB individuals, and 25.4% reported performing cervical cancer screening for TMNB individuals with a cervix. Differences in guideline concordance of screening recommendations for TMNB individuals with a cervix versus cisgender women (45.8% vs. 50% concordant) were not statistically significant. Conclusion: Sizable proportions of clinicians cared for and performed cervical cancer screening for TMNB individuals. Research is needed to better understand clinicians' identified knowledge deficits to develop interventions (e.g., clinician trainings) to improve gender-affirming cervical cancer prevention.
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Affiliation(s)
- Alex McDowell
- Health Policy Research Center, Mongan Institute, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Meghan L Rieu-Werden
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Steven J Atlas
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Robert H Goldstein
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Jennifer S Haas
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Robin T Higashi
- Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Harold C. Simmons Comprehensive Cancer Center, Dallas, Texas, USA
| | - Sandi L Pruitt
- Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Harold C. Simmons Comprehensive Cancer Center, Dallas, Texas, USA
| | - Michelle I Silver
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Jasmin A Tiro
- Department of Public Health Sciences, University of Chicago Biological Sciences Division, Chicago, Illinois, USA
| | - Aruna Kamineni
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
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Kruse GR, Percac-Lima S, Barber-Dubois M, Davies ME, Gundersen DA, Ho O, Mascioli L, Munshi M, Perry S, Singh D, Thomas A, Emmons KM, Haas JS. Bundling Colorectal Cancer Screening Outreach with Screening for Social Risk in Federally Qualified Health Centers: A Stepped-Wedge Implementation-Effectiveness Study. J Gen Intern Med 2024:10.1007/s11606-024-08654-5. [PMID: 38332440 DOI: 10.1007/s11606-024-08654-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 01/24/2024] [Indexed: 02/10/2024]
Abstract
BACKGROUND Bundling is combining individual interventions to meet quality metrics. Bundling offers of cancer screening with screening for social determinants of health (SDOH) may enable health centers to assist patients with social risks and yield efficiencies. OBJECTIVE To measure effects of bundling fecal immunochemical testing (FIT) and SDOH screening in federally qualified health centers (FQHCs). DESIGN Clustered stepped-wedge trial. PARTICIPANTS Four Massachusetts FQHCs randomized to implement bundled FIT-SDOH over 8-week "steps." INTERVENTION Outreach to 50-75-year-olds overdue for CRC screening to offer FIT with SDOH screening. The implementation strategy used facilitation and training for data monitoring and reporting. MAIN MEASURES Implementation process descriptions, data from facilitation meetings, and CRC and SDOH screening rates. Rates were compared between implementation and control FQHCs in each "step" by fitting generalized linear mixed-effects models with random intercepts for FQHCs, patients, and "step" by FQHC. KEY RESULTS FQHCs tailored implementation processes to their infrastructure, workflows, and staffing and prioritized different groups for outreach. Two FQHCs used population health outreach, and two integrated FIT-SDOH within established programs, such as pre-visit planning. Of 34,588 patients overdue for CRC screening, 54% were female; 20% Black, 11% Latino, 10% Asian, and 47% white; 32% had Medicaid, 16% Medicare, 32% private insurance, and 11% uninsured. Odds of CRC screening completion in implementation "steps" compared to controls were higher overall and among groups prioritized for outreach (overall: adjusted odds ratio (aOR) 2.41, p = 0.005; prioritized: aOR 2.88, p = 0.002). Odds of SDOH screening did not differ across "steps." CONCLUSIONS As healthcare systems are required to conduct more screenings, it is notable that outreach for a long-standing cancer screening requirement increased screening, even when bundled with a newer screening requirement. This outreach was feasible in a real-world safety-net clinical population and may conserve resources, especially compared to more complex or intensive outreach strategies. CLINICAL TRIALS REGISTRATION NCT04585919.
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Affiliation(s)
- Gina R Kruse
- Division of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
| | - Sanja Percac-Lima
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | | | - Madeline E Davies
- Kraft Center for Community Health, Massachusetts General Hospital, Boston, MA, USA
| | - Daniel A Gundersen
- Survey and Qualitative Methods Core, Dana Farber Cancer Institute, Boston, MA, USA
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Oanh Ho
- Harbor Health Services, Inc., Mattapan, MA, USA
| | - Lynette Mascioli
- Massachusetts League of Community Health Centers, Boston, MA, USA
| | - Mehezbin Munshi
- Massachusetts League of Community Health Centers, Boston, MA, USA
| | - Sarah Perry
- Harbor Health Services, Inc., Mattapan, MA, USA
| | - Deepinder Singh
- Larner College of Medicine, University of Vermont, Burlington, VT, USA
| | | | - Karen M Emmons
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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4
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Bhat RS, Brodney S, Chang Y, Rieu-Werden M, May FP, Haas JS. Vulnerability and Colorectal screening during the pandemic. Prev Med Rep 2024; 37:102570. [PMID: 38226329 PMCID: PMC10788250 DOI: 10.1016/j.pmedr.2023.102570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 12/16/2023] [Accepted: 12/18/2023] [Indexed: 01/17/2024] Open
Abstract
Objective Disparities in colorectal cancer (CRC) screening prevalence across United States neighborhoods may reflect social inequities that create barriers to accessing and completing preventive health services. Our objective was to identify whether neighborhood social vulnerability was associated with a change in CRC screening prevalence in Boston neighborhoods during the COVID-19 pandemic. Methods Adults ages 50-74 years due for CRC screening who received primary care at one of 35 primary care practices affiliated with Massachusetts General Hospital or Brigham and Women's Hospital (Boston, MA), 3/1/2020 to 3/1/2022. The Social Vulnerability Index (SVI) is an aggregate measure of neighborhood social factors often used by public health authorities to examine neighborhood susceptibility to many health outcomes. Results In 2020, 74.9 % of eligible individuals were up to date with CRC screening and this fell to 67.4 % in 2022 (p < 0.001). In 2020, 36.2 % of eligible patients lived in a neighborhood above the 80th percentile of SVI, consistent with high social vulnerability, while the same value was 35.1 % in 2022. There was no association between the change in screening prevalence and SVI: a decrease of 5.5 % screened in neighborhoods with SVI ≤ 80 compared to a decrease of 3.6 % in neighborhoods with SVI > 80 (p = 0.79). Conclusions The COVID-19 pandemic equalized the prevalence of CRC screening across Boston-area neighborhoods despite pre-existing geographic disparities in screening prevalence and SVI. Strategies to ensure equitable participation in CRC screening to promote health equity should be considered to promote equitable pandemic recovery.
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Affiliation(s)
- Roopa S. Bhat
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Suzanne Brodney
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Yuchiao Chang
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Meghan Rieu-Werden
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Folasade P. May
- Department of Medicine, UCLA Health and UCLA Kaiser Permanente Center for Health Equity, Los Angeles, CA, USA
| | - Jennifer S. Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
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Hull LE, Flannery K, Kaimal A, Sepucha K, Rehm HL, Haas JS. Multilevel barriers and facilitators to widespread use of preconception carrier screening in the United States. Genet Med 2023; 25:100946. [PMID: 37534745 PMCID: PMC10825062 DOI: 10.1016/j.gim.2023.100946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 07/24/2023] [Accepted: 07/26/2023] [Indexed: 08/04/2023] Open
Abstract
PURPOSE Although preconception reproductive genetic carrier screening (RGCS) is preferred to screening during pregnancy, population-wide preconception screening is not routinely performed in the United States. We explored the multilevel barriers to the widespread adoption of preconception RGCS in the United States via key informant interviews. METHODS Semi-structured virtual video interviews were conducted with 29 informants with a breadth of professional expertise between May and October 2022. Data collection and qualitative analyses were guided by the Consolidated Framework for Implementation Research and socioecological model. Analysis focused on identifying barriers to delivering preconception RGCS at and across different levels of health care and exploring potential facilitators of preconception RGCS delivery. RESULTS Barriers to preconception RGCS were identified at the levels of test characteristics, patients and couples, clinicians and care teams, and the external health care and policy environments. Across the different levels of care delivery, 3 themes of barriers emerged: (1) fragmentation and inconsistencies hinder care delivery, (2) gaps in knowledge, misconceptions, and uncertainties about RGCS are pervasive, and (3) expanding preconception RGCS in the diverse US population presents unique implementation challenges. Potential solutions were detailed by informants. CONCLUSION Identifying individual and thematic barriers to preconception RGCS delivery may help to define strategies to alleviate obstacles.
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Affiliation(s)
- Leland E Hull
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA; The Broad Institute of MIT and Cambridge, Cambridge, MA.
| | - Kelsey Flannery
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA
| | - Anjali Kaimal
- Department of Obstetrics and Gynecology, University of South Florida Morsani College of Medicine, Tampa, FL
| | - Karen Sepucha
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA
| | - Heidi L Rehm
- Harvard Medical School, Boston, MA; The Broad Institute of MIT and Cambridge, Cambridge, MA; Center for Genomic Medicine, Simches Research Center, Massachusetts General Hospital, Boston, MA
| | - Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA
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Trentham-Dietz A, Corley DA, Del Vecchio NJ, Greenlee RT, Haas JS, Hubbard RA, Hughes AE, Kim JJ, Kobrin S, Li CI, Meza R, Neslund-Dudas CM, Tiro JA. Data gaps and opportunities for modeling cancer health equity. J Natl Cancer Inst Monogr 2023; 2023:246-254. [PMID: 37947335 PMCID: PMC11009506 DOI: 10.1093/jncimonographs/lgad025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 07/12/2023] [Accepted: 08/15/2023] [Indexed: 11/12/2023] Open
Abstract
Population models of cancer reflect the overall US population by drawing on numerous existing data resources for parameter inputs and calibration targets. Models require data inputs that are appropriately representative, collected in a harmonized manner, have minimal missing or inaccurate values, and reflect adequate sample sizes. Data resource priorities for population modeling to support cancer health equity include increasing the availability of data that 1) arise from uninsured and underinsured individuals and those traditionally not included in health-care delivery studies, 2) reflect relevant exposures for groups historically and intentionally excluded across the full cancer control continuum, 3) disaggregate categories (race, ethnicity, socioeconomic status, gender, sexual orientation, etc.) and their intersections that conceal important variation in health outcomes, 4) identify specific populations of interest in clinical databases whose health outcomes have been understudied, 5) enhance health records through expanded data elements and linkage with other data types (eg, patient surveys, provider and/or facility level information, neighborhood data), 6) decrease missing and misclassified data from historically underrecognized populations, and 7) capture potential measures or effects of systemic racism and corresponding intervenable targets for change.
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Affiliation(s)
- Amy Trentham-Dietz
- Department of Population Health Sciences and Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Natalie J Del Vecchio
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Rebecca A Hubbard
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amy E Hughes
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jane J Kim
- Department of Health Policy and Management, Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Sarah Kobrin
- Healthcare Delivery Research Program, Division of Cancer Control & Population Sciences, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Christopher I Li
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Rafael Meza
- Department of Integrative Oncology, British Columbia (BC) Cancer Research Institute, Vancouver, BC, Canada
| | | | - Jasmin A Tiro
- Department of Public Health Sciences, University of Chicago Biological Sciences Division, and University of Chicago Medicine Comprehensive Cancer Center, Chicago, IL, USA
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Fiehn C, Zinke S, Haas JS, Meise D, Theil J, Gurrath M, Orzechowski HD. Real-world treatment persistence in patients with rheumatoid arthritis initiating DMARDs in Germany-a health insurance claims data analysis. Z Rheumatol 2023; 82:739-753. [PMID: 36757417 PMCID: PMC10627963 DOI: 10.1007/s00393-023-01323-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/28/2022] [Indexed: 02/10/2023]
Abstract
OBJECTIVE To investigate treatment patterns in patients with rheumatoid arthritis (RA) in Germany who had previously received conventional synthetic (cs) or biologic (b) disease-modifying antirheumatic drugs (DMARDs). METHODS Patients with RA who initiated treatment with a csDMARD, bDMARD, or Janus kinase (JAK) inhibitor between 2017 and 2018 and who had previously received csDMARD or bDMARD therapy were retrospectively selected from the Institute for Applied Health Research Berlin GmbH (InGef). Time on treatment and discontinuation risk were assessed using the Kaplan-Meier method. Cox regression identified variables associated with an increased discontinuation risk. RESULTS A total of 990 patients had received prior csDMARD therapy; 375 had received prior bDMARD therapy. Tumor necrosis factor (TNF)-α inhibitors and JAK inhibitors were the most commonly prescribed DMARD class in those previously treated with a csDMARD or bDMARD, respectively. In both cohorts, more patients received DMARD monotherapy than combination therapy. In the prior csDMARD cohort, median time on treatment was 276, 252, and 148 days with JAK inhibitors, TNF‑α inhibitors, and csDMARDs, respectively, and those treated with JAK or TNF‑α inhibitors were less likely to discontinue treatment than those on csDMARDs (log-rank test p-value < 0.01 for both comparisons); no significant differences were found within the prior bDMARD cohort. CONCLUSION This is among the first detailed analyses of RA treatment patterns in a real-world setting in Germany since the introduction of JAK inhibitors. TNF‑α inhibitors were the most commonly prescribed DMARD after failure of an initial csDMARD, while JAK inhibitors were the most common among patients previously treated with a bDMARD. In both groups, monotherapy with bDMARD or targeted synthetic DMARD was common. In the prior csDMARD cohort, treatment duration was significantly longer with JAK or TNF‑α inhibitors than with csDMARDs.
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Affiliation(s)
- Christoph Fiehn
- Rheumatology and Clinical Immunology Baden-Baden, Beethovenstr. 2, 76530, Baden-Baden, Germany.
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Alimena S, Lykken JM, Tiro JA, Chubak J, Kamineni A, Haas JS, Werner C, Kobrin SC, Feldman S. Timing of Colposcopy and Risk of Cervical Cancer. Obstet Gynecol 2023; 142:1125-1134. [PMID: 37607530 PMCID: PMC10637756 DOI: 10.1097/aog.0000000000005313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 06/08/2023] [Indexed: 08/24/2023]
Abstract
OBJECTIVE To quantify the association between time to colposcopy and risk of subsequent cervical cancer. METHODS A longitudinal analysis of patients aged 21-79 years with an abnormal cervical cancer test result from health care systems in Texas, Massachusetts, and Washington was performed. The outcome was a cervical cancer diagnosis 12 months or more after the abnormal result. The primary analysis compared receipt of colposcopy within 3 months (91 days or less) with receipt of colposcopy at 3-12 months (92-365 days) and no colposcopy within 12 months of the abnormal test result; post hoc analyses compared colposcopy within 12 months (365 days or less) with no colposcopy within 12 months. Associations were assessed with multivariable Cox proportional hazards regression controlling for age, risk status, result severity, and health care system. RESULTS Of 17,541 patients, 53.3% of patients received colposcopy within 3 months, 22.2% received colposcopy in 3-12 months, and 24.6% had no colposcopy within 12 months. One hundred forty-seven patients were diagnosed with cervical cancer within 12 months and removed from subsequent analyses. Sixty-five patients (0.4%) were diagnosed with cervical cancer more than 1 year (366 days or more) after the abnormal Pap or human papillomavirus test result. The risk of cervical cancer detection more than 1 year after the abnormal test result was not different in patients who received colposcopy within 3-12 months (hazard ratio [HR] 1.07, 95% CI 0.54-2.12) and higher among patients with no colposcopy within 12 months (HR 2.34, 95% CI 1.33-4.14) compared with patients who had colposcopy within 3 months. Post hoc analyses showed that the risk of cervical cancer diagnosis was 2.29-fold higher among those without colposcopy within 12 months compared with those who received colposcopy within 12 months (95% CI 1.37-3.83); among patients with high-grade cytology results, the risk of cervical cancer detection among those without colposcopy within 12 months was 3.12-fold higher compared with those who received colposcopy within 12 months (95% CI 1.47-6.70). CONCLUSION There was no difference in cervical cancer risk at more than 1 year between patients who received colposcopy within 3 months compared with those who received colposcopy within 3-12 months of an abnormal result. Patients who did not receive colposcopy within 12 months of an abnormal result had a higher risk of subsequent cervical cancer compared with those who received a colposcopy within 12 months.
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Affiliation(s)
- Stephanie Alimena
- Division of Gynecologic Oncology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Jacquelyn M. Lykken
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas Texas
| | - Jasmin A. Tiro
- Department of Public Health Sciences, University of Chicago Biological Sciences Division, Chicago, Illinois
| | - Jessica Chubak
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | - Aruna Kamineni
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | - Jennifer S. Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Claudia Werner
- Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, Texas
- Parkland Health and Hospital System, Dallas, Texas
| | - Sarah C. Kobrin
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD
| | - Sarah Feldman
- Division of Gynecologic Oncology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
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9
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Atlas SJ, Tosteson ANA, Wright A, Orav EJ, Burdick TE, Zhao W, Hort SJ, Wint AJ, Smith RE, Chang FY, Aman DG, Thillaiyapillai M, Diamond CJ, Zhou L, Haas JS. A Multilevel Primary Care Intervention to Improve Follow-Up of Overdue Abnormal Cancer Screening Test Results: A Cluster Randomized Clinical Trial. JAMA 2023; 330:1348-1358. [PMID: 37815566 PMCID: PMC10565610 DOI: 10.1001/jama.2023.18755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 08/31/2023] [Indexed: 10/11/2023]
Abstract
Importance Realizing the benefits of cancer screening requires testing of eligible individuals and processes to ensure follow-up of abnormal results. Objective To test interventions to improve timely follow-up of overdue abnormal breast, cervical, colorectal, and lung cancer screening results. Design, Setting, and Participants Pragmatic, cluster randomized clinical trial conducted at 44 primary care practices within 3 health networks in the US enrolling patients with at least 1 abnormal cancer screening test result not yet followed up between August 24, 2020, and December 13, 2021. Intervention Automated algorithms developed using data from electronic health records (EHRs) recommended follow-up actions and times for abnormal screening results. Primary care practices were randomized in a 1:1:1:1 ratio to (1) usual care, (2) EHR reminders, (3) EHR reminders and outreach (a patient letter was sent at week 2 and a phone call at week 4), or (4) EHR reminders, outreach, and navigation (a patient letter was sent at week 2 and a navigator outreach phone call at week 4). Patients, physicians, and practices were unblinded to treatment assignment. Main Outcomes and Measures The primary outcome was completion of recommended follow-up within 120 days of study enrollment. The secondary outcomes included completion of recommended follow-up within 240 days of enrollment and completion of recommended follow-up within 120 days and 240 days for specific cancer types and levels of risk. Results Among 11 980 patients (median age, 60 years [IQR, 52-69 years]; 64.8% were women; 83.3% were White; and 15.4% were insured through Medicaid) with an abnormal cancer screening test result for colorectal cancer (8245 patients [69%]), cervical cancer (2596 patients [22%]), breast cancer (1005 patients [8%]), or lung cancer (134 patients [1%]) and abnormal test results categorized as low risk (6082 patients [51%]), medium risk (3712 patients [31%]), or high risk (2186 patients [18%]), the adjusted proportion who completed recommended follow-up within 120 days was 31.4% in the EHR reminders, outreach, and navigation group (n = 3455), 31.0% in the EHR reminders and outreach group (n = 2569), 22.7% in the EHR reminders group (n = 3254), and 22.9% in the usual care group (n = 2702) (adjusted absolute difference for comparison of EHR reminders, outreach, and navigation group vs usual care, 8.5% [95% CI, 4.8%-12.0%], P < .001). The secondary outcomes showed similar results for completion of recommended follow-up within 240 days and by subgroups for cancer type and level of risk for the abnormal screening result. Conclusions and Relevance A multilevel primary care intervention that included EHR reminders and patient outreach with or without patient navigation improved timely follow-up of overdue abnormal cancer screening test results for breast, cervical, colorectal, and lung cancer. Trial Registration ClinicalTrials.gov Identifier: NCT03979495.
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Affiliation(s)
- Steven J. Atlas
- Division of General Internal Medicine, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Anna N. A. Tosteson
- Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire
- Dartmouth Cancer Center, Dartmouth Health and Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire
- Department of Community and Family Medicine, Dartmouth Health, Lebanon, New Hampshire
- Department of Medicine, Dartmouth Health, Lebanon, New Hampshire
| | - Adam Wright
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - E. John Orav
- Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Timothy E. Burdick
- Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire
- Department of Community and Family Medicine, Dartmouth Health, Lebanon, New Hampshire
- SYNERGY Research Informatics, Dartmouth Health, Lebanon, New Hampshire
- Department of Biomedical Data Science, Dartmouth Health, Lebanon, New Hampshire
| | - Wenyan Zhao
- Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire
| | - Shoshana J. Hort
- Department of Medicine, Dartmouth Health, Lebanon, New Hampshire
- SYNERGY Research Informatics, Dartmouth Health, Lebanon, New Hampshire
| | - Amy J. Wint
- Division of General Internal Medicine, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Rebecca E. Smith
- Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire
- Department of Community and Family Medicine, Dartmouth Health, Lebanon, New Hampshire
| | - Frank Y. Chang
- Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Boston, Massachusetts
| | - David G. Aman
- Research Computing, Dartmouth College, Lebanon, New Hampshire
| | | | - Courtney J. Diamond
- Department of Biomedical Informatics, Irving Medical Center, Columbia University, New York, New York
| | - Li Zhou
- Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Jennifer S. Haas
- Division of General Internal Medicine, Massachusetts General Hospital and Harvard Medical School, Boston
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10
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Spencer JC, Kim JJ, Tiro JA, Feldman SJ, Kobrin SC, Skinner CS, Wang L, McCarthy AM, Atlas SJ, Pruitt SL, Silver MI, Haas JS. Racial and Ethnic Disparities in Cervical Cancer Screening From Three U.S. Healthcare Settings. Am J Prev Med 2023; 65:667-677. [PMID: 37146839 DOI: 10.1016/j.amepre.2023.04.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 04/28/2023] [Accepted: 04/28/2023] [Indexed: 05/07/2023]
Abstract
INTRODUCTION This study sought to characterize racial and ethnic disparities in cervical cancer screening and follow-up of abnormal findings across 3 U.S. healthcare settings. METHODS Data were from 2016 to 2019 and were analyzed in 2022, reflecting sites within the Multi-level Optimization of the Cervical Cancer Screening Process in Diverse Settings & Populations Research Center, part of the Population-based Research to Optimize the Screening Process consortium, including a safety-net system in the southwestern U.S., a northwestern mixed-model system, and a northeastern integrated healthcare system. Screening uptake was evaluated among average-risk patients (i.e., no previous abnormalities) by race and ethnicity as captured in the electronic health record, using chi-square tests. Among patients with abnormal findings requiring follow-up, the proportion receiving colposcopy or biopsy within 6 months was reported. Multivariable regression was conducted to assess how clinical, socioeconomic, and structural characteristics mediate observed differences. RESULTS Among 188,415 eligible patients, 62.8% received cervical cancer screening during the 3-year study period. Screening use was lower among non-Hispanic Black patients (53.2%) and higher among Hispanic (65.4%,) and Asian/Pacific Islander (66.5%) than among non-Hispanic White patients (63.5%, all p<0.001). Most differences were explained by the distribution of patients across sites and differences in insurance. Hispanic patients remained more likely to screen after controlling for a variety of clinical and sociodemographic factors (risk ratio=1.14, CI=1.12, 1.16). Among those receiving any screening test, Black and Hispanic patients were more likely to receive Pap-only testing (versus receiving co-testing). Follow-up from abnormal results was low for all groups (72.5%) but highest among Hispanic participants (78.8%, p<0.001). CONCLUSIONS In a large cohort receiving care across 3 diverse healthcare settings, cervical cancer screening and follow-up were below 80% coverage targets. Lower screening for Black patients was attenuated by controlling for insurance and site of care, underscoring the role of systemic inequity. In addition, it is crucial to improve follow-up after abnormalities are identified, which was low for all populations.
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Affiliation(s)
- Jennifer C Spencer
- Department of Population Health, Dell Medical School, The University of Texas at Austin, Austin, Texas; Department of Internal Medicine, Dell Medical School, The University of Texas at Austin, Austin, Texas.
| | - Jane J Kim
- Department of Health Policy and Management, Harvard TH Chan School of Public Health, Boston, Massachussetts
| | - Jasmin A Tiro
- Department Public Health Sciences, The University of Chicago, Chicago, Illinois; University of Chicago Medicine Comprehensive Cancer Center, The University of Chicago, Chicago, Ilinois
| | - Sarah J Feldman
- Division of Gynecologic Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachussetts
| | - Sarah C Kobrin
- Healthcare Delivery Research Program, Division of Cancer Control & Population Sciences, National Cancer Institute, Bethesda, Maryland
| | - Celette Sugg Skinner
- Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas; Harold C Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Lei Wang
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Anne Marie McCarthy
- Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Steve J Atlas
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachussetts
| | - Sandi L Pruitt
- Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas; Harold C Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Michelle I Silver
- Department of Surgery, Washington University School of Medicine in St. Louis, St. Louis, Missouri
| | - Jennifer S Haas
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachussetts
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11
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McCarthy AM, Tiro JA, Hu E, Ehsan S, Chubak J, Kamineni A, Feldman S, Atlas SJ, Silver MI, Kobrin S, Haas JS. Factors associated with shorter-interval cervical cancer screening for young women in three United States healthcare systems. Prev Med Rep 2023; 35:102279. [PMID: 37361923 PMCID: PMC10285268 DOI: 10.1016/j.pmedr.2023.102279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 05/16/2023] [Accepted: 06/07/2023] [Indexed: 06/28/2023] Open
Abstract
Frequently changing cervical cancer screening guidelines over the past two decades have been inconsistently adopted in the United States. Current guidelines set the recommended screening interval to three years for average-risk women aged 21-29 years. Few studies have evaluated how patient and provider factors are associated with implementation of cervical cancer screening intervals among younger women. This study evaluated multilevel factors associated with screening interval length among 69,939 women aged 21-29 years with an initial negative Pap screen between 2010 and 2015 across three large health systems in the U.S. Shorter-interval screening was defined as a second screening Pap within 2.5 years of an initial negative Pap. Mixed-effects logistic regression was performed for each site to identify provider and patient characteristics associated with shorter-interval screening. The odds of shorter-interval screening decreased over the study period across all sites, though the proportion of patients screened within 2.5 years remained between 7.5% and 20.7% across sites in 2014-2015. Patient factors including insurance, race/ethnicity, and pregnancy were associated with shorter-interval screening, though the patterns differed across sites. At one site, the variation in shorter-interval screening explained by the provider was 10.6%, whereas at the other two sites, the provider accounted for < 2% of the variation in shorter-interval screening. Our results highlight the heterogeneity in factors driving cervical cancer screening interval across health systems and point to the need for tailored approaches targeted to both providers and patients to improve guideline-concordant screening.
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Affiliation(s)
- Anne Marie McCarthy
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Jasmin A. Tiro
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Ellen Hu
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Sarah Ehsan
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Jessica Chubak
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Aruna Kamineni
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Sarah Feldman
- Division of Gynecologic Oncology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Steven J. Atlas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Michelle I. Silver
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, Saint Louis, MO, USA
| | - Sarah Kobrin
- Healthcare Delivery Research Program, Division of Cancer Control and Population Science, National Cancer Institute, Bethesda, MD, USA
| | - Jennifer S. Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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12
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Selby K, Sedki M, Levine E, Kamineni A, Green BB, Vachani A, Haas JS, Ritzwoller DP, Croswell JM, Ohikere K, Doria-Rose VP, Rendle KA, Chubak J, Lafata JE, Inadomi J, Corley DA. Test performance metrics for breast, cervical, colon and lung cancer screening: a systematic review. J Natl Cancer Inst 2023; 115:375-384. [PMID: 36752508 PMCID: PMC10086636 DOI: 10.1093/jnci/djad028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 12/19/2022] [Accepted: 01/28/2023] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND Multiple quality metrics have been recommended to ensure consistent, high-quality execution of screening tests for breast, cervical, colorectal and lung cancers. However, minimal data exist evaluating the evidence base supporting these recommendations and the consistency of definitions and concepts included within and between cancer types. METHODS We performed a systematic review for each cancer type using MEDLINE, Embase and CINAHL from 2010 to April 2020, to identify guidelines from screening programs or professional organizations containing quality metrics for tests used in breast, cervical, colorectal and lung cancer screening. We abstracted metrics' definitions, target performance levels, and related supporting evidence for test completeness, adequacy (sufficient visualization or collection), accuracy, and safety. RESULTS We identified 11 relevant guidelines with 20 suggested quality metrics for breast cancer, 5 guidelines with 9 metrics for cervical cancer, 13 guidelines with 18 metrics for colorectal cancer, and 3 guidelines with 7 metrics for lung cancer. These included 54 metrics related to adequacy (6), test completeness (3), accuracy (33), and safety (12). Target performance levels were defined for 30 metrics (56%). Ten (19%) were supported by evidence, all from breast and colorectal cancer, with no evidence cited to support metrics from cervical and lung cancer screening. CONCLUSIONS Considerably more guideline-recommended test performance metrics exist for breast and colorectal cancer screening than cervical or lung cancer. The domains covered are inconsistent among cancers and few targets are supported by evidence. Clearer evidence-based domains and targets are needed for test performance metrics. REGISTRATION PROSPERO 2020 CRD42020179139.
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Affiliation(s)
- Kevin Selby
- Center for primary care and public health (Unisanté), Lausanne, Switzerland
| | - Mai Sedki
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Emma Levine
- University of California at San Francisco, San Francisco, CA, USA
| | - Aruna Kamineni
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Beverly B Green
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.,Kaiser Permanente Bernard J Tyson School of Medicine, Pasadena, CA, USA
| | - Anil Vachani
- Pulmonary, Allergy, and Critical Care Division, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Debra P Ritzwoller
- Institute for Research, Kaiser Permanente Colorado, Denver, Colorado, USA
| | - Jennifer M Croswell
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA
| | - Kabiru Ohikere
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - V Paul Doria-Rose
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, USA
| | - Katharine A Rendle
- Department of Family Medicine & Community Health, Perelman School of Medicine, University of Pennsylvania, USA
| | - Jessica Chubak
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Jennifer Elston Lafata
- Eshelman School of Pharmacy and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, Chapel Hill, USA, USA
| | - John Inadomi
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
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13
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Kruse GR, Lykken JM, Kim EJ, Haas JS, Higashi RT, Atlas SJ, McCarthy AM, Tiro JA, Silver MI, Skinner CS, Kamineni A. Provider beliefs in effectiveness and recommendations for primary HPV testing in 3 health-care systems. JNCI Cancer Spectr 2022; 7:6873747. [PMID: 36469348 PMCID: PMC9825247 DOI: 10.1093/jncics/pkac086] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 11/16/2022] [Accepted: 11/18/2022] [Indexed: 12/10/2022] Open
Abstract
In 2018, the US Preventive Services Task Force endorsed primary human papillomavirus testing (pHPV) for cervical cancer screening. We aimed to describe providers' beliefs about pHPV testing effectiveness and which screening approach they regularly recommend. We invited providers who performed 10 or more cervical cancer screens in 2019 in 3 healthcare systems that had not adopted pHPV testing: Kaiser Permanente Washington, Mass General Brigham, and Parkland Health; 53.7% (501/933) completed the survey between October and December 2020. Response distributions varied across modalities (P < .001), with cytology alone or cotesting being more often viewed as somewhat or very effective for 30- to 65-year-olds compared with pHPV (cytology alone 94.1%, cotesting 96.1%, pHPV 66.0%). In 21- to 29-year-olds, the pattern was similar (cytology alone 92.2%, 64.7% cotesting, 50.8% pHPV). Most providers were either incorrect or unsure of the guideline-recommended screening interval for pHPV. Educational efforts are needed about the relative effectiveness and recommended use of pHPV to promote guideline-concordant care.
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Affiliation(s)
- Gina R Kruse
- Correspondence to: Gina Kruse, MD, MPH, Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, 100 Cambridge St, 16th Fl, Boston, MA 02124, USA (e-mail: )
| | - Jacquelyn M Lykken
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Eric J Kim
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Robin T Higashi
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA,Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Steven J Atlas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Anne Marie McCarthy
- Department of Biostatistics, Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jasmin A Tiro
- Department of Public Health Sciences, University of Chicago—Biological Sciences Division, Chicago, IL, USA
| | - Michelle I Silver
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, MO, USA
| | - Celette S Skinner
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA,Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Aruna Kamineni
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
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14
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Hull LE, Cheng D, Hallman MH, Rieu-Werden ML, Haas JS. Association of Patient and Site-of-Care Characteristics With Reproductive Carrier Screening Timing in a Large Integrated Health System. JAMA Netw Open 2022; 5:e2240829. [PMID: 36346628 PMCID: PMC9644263 DOI: 10.1001/jamanetworkopen.2022.40829] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
IMPORTANCE Reproductive genetic carrier screening can be performed prior to or during pregnancy to assess a reproductive couple's risk of having a child with a recessively inherited disorder. Although professional societies endorse preconception screening as preferable to prenatal screening to allow for greater reproductive choice, implementation of preconception screening is challenging. OBJECTIVE To determine how carrier screening timing varies by multilevel factors associated with health care delivery including patient, clinician, and location across a large integrated health care system. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study used a mixed-methods approach including (1) quantitative analysis of multilevel factors associated with the timing of reproductive carrier screening and (2) qualitative analyses of data from interviews conducted with clinicians ordering carrier screenings. The setting was the Mass General Brigham, a large integrated health care system in the greater Boston, Massachusetts area. Participants included adult female patients who completed reproductive carrier screening performed by Myriad Women's Health between October 1, 2018, to September 30, 2019. EXPOSURES Site of care (ordering clinical location and hospital affiliate), ordering clinician specialty, and patient characteristics, including age at date of test collection, self-reported race and ethnicity, primary insurance payor, and number of comorbidities. MAIN OUTCOMES AND MEASURES The primary outcome was the timing of carrier screening (preconception vs prenatal). A series of 4 multilevel logistic regression models were fitted to measure the relative contribution of site, clinician, and patient-level factors on the timing of screening. Interviews with ordering clinicians (N = 9) were analyzed using a framework approach to explore barriers to preconception screening. RESULTS Among 6509 adult female patients who completed carrier screenings, 770 (12%) were Asian, 352 (5%) were Hispanic, 640 (10%) were non-Hispanic Black, 3844 (59%) were non-Hispanic White, 858 (13%) were other or multiple races and ethnicities, and 2611 (40%) were aged 31 to 35 years; 4701 (63%) had prenatal screening and 2438 (37%) had preconception screening; screenings were ordered by 161 distinct clinicians across 32 clinical locations affiliated with 4 hospitals. In model 1, adjusted for hospital (fixed effect), clinic and clinician (random effects), 49% of the variability in timing was associated with clinician-level effects (intraclass correlation coefficient [ICC], 0.49) and 28% was associated with clinic-level effects (ICC, 0.28). Clinician specialty explained the greatest amount of variation in screening timing. Interviewed clinicians (N = 9) supported preconception screening but cited several barriers to offering population-based preconception screening. CONCLUSIONS AND RELEVANCE In this cross-sectional study, multilevel factors were associated with carrier screening timing. These findings suggest that increasing access to preconception screening may involve engaging specific medical specialties.
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Affiliation(s)
- Leland E. Hull
- Division of General Internal Medicine, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
| | - David Cheng
- Harvard Medical School, Boston, Massachusetts
- Biostatistics Center, Massachusetts General Hospital, Boston, Massachusetts
| | - Mie H. Hallman
- Division of General Internal Medicine, Massachusetts General Hospital, Boston
| | - M. L. Rieu-Werden
- Division of General Internal Medicine, Massachusetts General Hospital, Boston
| | - Jennifer S. Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
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15
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Park ER, Neil JM, Noonan E, Howard SE, Gonzalez I, Marotta C, Wint AJ, Levy DE, Chang Y, Rigotti NA, Haas JS. Leveraging the Clinical Timepoints in Lung Cancer Screening to Engage Individuals in Tobacco Treatment. JNCI Cancer Spectr 2022; 6:pkac073. [PMID: 36350049 PMCID: PMC9653214 DOI: 10.1093/jncics/pkac073] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 09/07/2022] [Accepted: 10/03/2022] [Indexed: 10/02/2023] Open
Abstract
The US Preventive Services Task Force recommends lung cancer screening (LCS) to promote early lung cancer detection, and tobacco cessation services are strongly recommended in adjunct. Screen ASSIST (NCT03611881) is a randomized factorial trial to ascertain the best tobacco treatment intervention for smokers undergoing LCS; trial outreach is conducted during 3 recruitment points (RPs): when LCS is ordered (RP1), at screening (RP2), and following results (RP3). Among 177 enrollees enrolled from April 2019 to March 2020, 31.6% enrolled at RP1, 13.0% at RP2, and 55.4% at RP3. The average number of enrollees (per 1000 recruitment days) was 2.26 in RP1, 3.37 in RP2, and 1.04 in RP3. LCS provides an opportunity to offer tobacco treatment at multiple clinical timepoints. Repeated and proactive outreach throughout the LCS experience was beneficial to enrolling patients in tobacco cessation services.
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Affiliation(s)
- Elyse R Park
- Health Promotion and Resiliency and Intervention Research Program, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Mongan Institue, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Tobacco Research and Treatment Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jordan M Neil
- Health Promotion and Resiliency and Intervention Research Program, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
- TSET Health Promotion Research Center, Stephenson Cancer Center, Oklahoma City, OK, USA
| | - Elise Noonan
- Health Promotion and Resiliency and Intervention Research Program, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Mongan Institue, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sydney E Howard
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Irina Gonzalez
- Health Promotion and Resiliency and Intervention Research Program, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Mongan Institue, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Caylin Marotta
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Amy J Wint
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Douglas E Levy
- Mongan Institue, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Tobacco Research and Treatment Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Yuchiao Chang
- Tobacco Research and Treatment Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Nancy A Rigotti
- Mongan Institue, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Tobacco Research and Treatment Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jennifer S Haas
- Mongan Institue, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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16
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Feldman S, Lykken JM, Haas JS, Werner CL, Kobrin SC, Tiro JA, Chubak J, Kamineni A. Factors associated with timely colposcopy following an abnormal cervical cancer test result. Prev Med 2022; 164:107307. [PMID: 36270434 PMCID: PMC9808794 DOI: 10.1016/j.ypmed.2022.107307] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 10/06/2022] [Accepted: 10/09/2022] [Indexed: 01/05/2023]
Abstract
Successful cervical cancer prevention requires screening and appropriate management of abnormal test results. Management includes diagnostic evaluation and treatment, if indicated, based on cervical cancer risk after most abnormal test results. There is little guidance on the optimal timing of diagnostic evaluation, and few data exist on factors associated with timely management. We quantified time-to-colposcopy within 12 months of an abnormal cervical cancer screening or surveillance test result from 2010 to 2018 across three diverse healthcare systems and described factors associated with timely colposcopy. Among 21-65 year-old patients with an abnormal test result for which colposcopy was indicated (n = 28,706), we calculated the proportion who received a colposcopy within 12 months of the abnormal test and used Kaplan-Meier methods to estimate the probability of colposcopy within 12 months. Across all systems, 75.3% of patients received a colposcopy within 12 months, with site-specific estimates ranging from 70.0 to 83.0%. We fit mixed-effects multivariable logistic regression models to identify factors associated with receipt of colposcopy within 12 months. The healthcare system and cytology result severity were the most important factors associated with of timely colposcopy. We observed that sites with more centralized processes had higher proportions of colposcopy completion, and patients with high-grade results were more consistently evaluated earlier than patients with low-grade results. Patient age also affected receipt of timely colposcopy, though this association differed by healthcare system and result severity. These data suggest opportunities for system-level interventions to improve management of abnormal cervical cancer test results.
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Affiliation(s)
- Sarah Feldman
- Division of Gynecologic Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America.
| | - Jacquelyn M Lykken
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
| | - Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Claudia L Werner
- Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America; Parkland Health, Dallas, TX, United States of America
| | - Sarah C Kobrin
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, United States of America
| | - Jasmin A Tiro
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States of America; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
| | - Jessica Chubak
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States of America
| | - Aruna Kamineni
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States of America
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17
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Kamineni A, Doria-Rose VP, Chubak J, Inadomi JM, Corley DA, Haas JS, Kobrin SC, Winer RL, Elston Lafata J, Beaber EF, Yudkin JS, Zheng Y, Skinner CS, Schottinger JE, Ritzwoller DP, Croswell JM, Burnett-Hartman AN. Evaluation of Harms Reporting in U.S. Cancer Screening Guidelines. Ann Intern Med 2022; 175:1582-1590. [PMID: 36162112 PMCID: PMC9903969 DOI: 10.7326/m22-1139] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Cancer screening should be recommended only when the balance between benefits and harms is favorable. This review evaluated how U.S. cancer screening guidelines reported harms, within and across organ-specific processes to screen for cancer. OBJECTIVE To describe current reporting practices and identify opportunities for improvement. DESIGN Review of guidelines. SETTING United States. PATIENTS Patients eligible for screening for breast, cervical, colorectal, lung, or prostate cancer according to U.S. guidelines. MEASUREMENTS Information was abstracted on reporting of patient-level harms associated with screening, diagnostic follow-up, and treatment. The authors classified harms reporting as not mentioned, conceptual, qualitative, or quantitative and noted whether literature was cited when harms were described. Frequency of harms reporting was summarized by organ type. RESULTS Harms reporting was inconsistent across organ types and at each step of the cancer screening process. Guidelines did not report all harms for any specific organ type or for any category of harm across organ types. The most complete harms reporting was for prostate cancer screening guidelines and the least complete for colorectal cancer screening guidelines. Conceptualization of harms and use of quantitative evidence also differed by organ type. LIMITATIONS This review considers only patient-level harms. The authors did not verify accuracy of harms information presented in the guidelines. CONCLUSION The review identified opportunities for improving conceptualization, assessment, and reporting of screening process-related harms in guidelines. Future work should consider nuances associated with each organ-specific process to screen for cancer, including which harms are most salient and where evidence gaps exist, and explicitly explore how to optimally weigh available evidence in determining net screening benefit. Improved harms reporting could aid informed decision making, ultimately improving cancer screening delivery. PRIMARY FUNDING SOURCE National Cancer Institute.
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Affiliation(s)
- Aruna Kamineni
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington (A.K., J.C.)
| | - V Paul Doria-Rose
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland (V.P.D., S.C.K., J.M.C.)
| | - Jessica Chubak
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington (A.K., J.C.)
| | - John M Inadomi
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah (J.M.I.)
| | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, California (D.A.C.)
| | - Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts (J.S.H.)
| | - Sarah C Kobrin
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland (V.P.D., S.C.K., J.M.C.)
| | - Rachel L Winer
- Department of Epidemiology, University of Washington, Seattle, Washington (R.L.W.)
| | - Jennifer Elston Lafata
- Division of Pharmaceutical Outcomes and Policy, University of North Carolina Eshelman School of Pharmacy and Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, and Henry Ford Health System, Detroit, Michigan (J.E.L.)
| | - Elisabeth F Beaber
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington (E.F.B., Y.Z.)
| | - Joshua S Yudkin
- University of Texas Health Science Center at Houston, Houston, Texas (J.S.Y.)
| | - Yingye Zheng
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington (E.F.B., Y.Z.)
| | - Celette Sugg Skinner
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, and Simmons Comprehensive Cancer Center, Dallas, Texas (C.S.S.)
| | - Joanne E Schottinger
- Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California (J.E.S.)
| | - Debra P Ritzwoller
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, Colorado (D.P.R., A.N.B.)
| | - Jennifer M Croswell
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland (V.P.D., S.C.K., J.M.C.)
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18
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Link H, Thompson SF, Tian M, Haas JS, Meise D, Maas C, Dimitrov S. A comparative assessment of neutropenia events, healthcare resource use, and costs among cancer patients treated with lipegfilgrastim compared with pegfilgrastim in Germany. Support Care Cancer 2022; 30:9317-9327. [PMID: 36076105 DOI: 10.1007/s00520-022-07353-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 08/25/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE We assessed the occurrence of neutropenia and febrile neutropenia (FN) and the associated healthcare resource in cancer patients receiving myelosuppressive chemotherapy in combination with pegfilgrastim versus lipegfilgrastim. METHODS This is a retrospective analysis using a German health insurance claims database. Adults receiving chemotherapy with a prescription code for pegfilgrastim (n = 734) or lipegfilgrastim (n = 346) were observed over a 1-year follow-up period. Patient subgroups were analyzed according to cancer type and FN risk. FN risk was based on the chemotherapy regimen and any additional neutropenia risk factors. Outcomes were adjusted via regression analysis. RESULTS Most patients were classified as high FN risk (70.0% pegfilgrastim; 65.6% lipegfilgrastim cohort). The mean age was 58.2 years in the pegfilgrastim cohort and 58.0 years in the lipegfilgrastim cohort, with more female patients than male patients (77.3% vs 79.8%, respectively), and the majority had breast cancer (64.9% and 68.8%, respectively). Overall, 10.0% and 10.4% of patients receiving pegfilgrastim or lipegfilgrastim experienced a neutropenia event (p = 0.82), with 4.4% and 3.5% of patients experiencing a FN event (p = 0.49). The mean neutropenia event-related healthcare costs were €604 and €441 for the pegfilgrastim and lipegfilgrastim cohorts; among patients with lymphoma, these costs were significantly greater (p = 0.03) with pegfilgrastim (€1,612) versus lipegfilgrastim (€382). The mean all-cause hospitalizations were significantly (p < 0.01) higher for lymphoma patients receiving pegfilgrastim (2.76) versus lipegfilgrastim (1.60). CONCLUSION Overall, patients treated with pegfilgrastim and lipegfilgrastim were comparable in terms of neutropenia occurrences in the 1-year follow-up. In patients with lymphoma, neutropenia event-related healthcare costs and all-cause hospitalizations were significantly higher with pegfilgrastim compared with lipegfilgrastim in this study; however, this should be interpreted with caution in light of the limited sample size and the absence of clinical information.
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Affiliation(s)
- Hartmut Link
- Private Practice Hematology and Oncology, Kaiserslautern, Germany.
| | | | - Marc Tian
- TEVA Pharmaceuticals Industries Ltd., West Chester, PA, USA
| | | | | | | | - Stamen Dimitrov
- TEVA Pharmaceuticals Europe, HQ Amsterdam, Amsterdam, Netherlands
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19
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Atlas SJ, Tosteson ANA, Burdick TE, Wright A, Breslau ES, Dang TH, Wint AJ, Smith RE, Harris KA, Zhou L, Haas JS. Primary Care Practitioner Perceptions on the Follow-up of Abnormal Cancer Screening Test Results. JAMA Netw Open 2022; 5:e2234194. [PMID: 36173627 PMCID: PMC9523497 DOI: 10.1001/jamanetworkopen.2022.34194] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 08/12/2022] [Indexed: 01/12/2023] Open
Abstract
Importance Health care systems focus on delivering routine cancer screening to eligible individuals, yet little is known about the perceptions of primary care practitioners (PCPs) about barriers to timely follow-up of abnormal results. Objective To describe PCP perceptions about factors associated with the follow-up of abnormal breast, cervical, colorectal, and lung cancer screening test results. Design, Setting, and Participants Survey study of PCPs from 3 primary care practice networks in New England between February and October 2020, prior to participating in a randomized clinical trial to improve follow-up of abnormal cancer screening test results. Participants were physicians and advanced practice clinicians from participating practices. Main Outcomes and Measures Self-reported process, attitudes, knowledge, and satisfaction about the follow-up of abnormal cancer screening test results. Results Overall, 275 (56.7%) PCPs completed the survey (range by site, 34.9%-71.9%) with more female PCPs (61.8% [170 of 275]) and general internists (73.1% [201 of 275]); overall, 28,7% (79 of 275) were aged 40 to 49 years. Most PCPs felt responsible for managing abnormal cancer screening test results with the specific cancer type being the best factor (range, 63.6% [175 of 275] for breast to 81.1% [223 of 275] for lung; P < .001). The PCPs reported limited support for following up on overdue abnormal cancer screening test results. Standard processes such as automated reports, reminder letters, or outreach workers were infrequently reported. Major barriers to follow-up of abnormal cancer screening test results across all cancer types included limited electronic health record tools (range, 28.5% [75 of 263]-36.5%[96 of 263]), whereas 50% of PCPs felt that there were major social barriers to receiving care for abnormal cancer screening test results for colorectal cancer. Fewer than half reported being very satisfied with the process of managing abnormal cancer screening test results, with satisfaction being greatest for breast cancer (46.9% [127 of 271]) and lowest for cervical (21.8% [59 of 271]) and lung cancer (22.4% [60 of 268]). Conclusions and Relevance In this survey study of PCPs, important deficiencies in systems for managing abnormal cancer screening test results were reported. These findings suggest a need for comprehensive organ-agnostic systems to promote timely follow-up of abnormal cancer screening results using a primary care-focused approach across the range of cancer screening tests.
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Affiliation(s)
- Steven J. Atlas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Anna N. A. Tosteson
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Lebanon, New Hampshire
- Dartmouth Cancer Center, Dartmouth Health and Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire
| | - Timothy E. Burdick
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Lebanon, New Hampshire
- Department of Community and Family Medicine, Dartmouth Health, Lebanon, New Hampshire
| | - Adam Wright
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Erica S. Breslau
- Division of Cancer Prevention and Control, National Cancer Institute, Rockville, Maryland
| | - Tin H. Dang
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Amy J. Wint
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Rebecca E. Smith
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Lebanon, New Hampshire
| | - Kimberly A. Harris
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Li Zhou
- Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Jennifer S. Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
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20
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Beaber EF, Kamineni A, Burnett-Hartman AN, Hixon B, Kobrin SC, Li CI, Oliver M, Rendle KA, Skinner CS, Todd K, Zheng Y, Ziebell RA, Breslau ES, Chubak J, Corley DA, Greenlee RT, Haas JS, Halm EA, Honda S, Neslund-Dudas C, Ritzwoller DP, Schottinger JE, Tiro JA, Vachani A, Doria-Rose VP. Evaluating and Improving Cancer Screening Process Quality in a Multilevel Context: The PROSPR II Consortium Design and Research Agenda. Cancer Epidemiol Biomarkers Prev 2022; 31:1521-1531. [PMID: 35916603 PMCID: PMC9350927 DOI: 10.1158/1055-9965.epi-22-0100] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 04/08/2022] [Accepted: 05/06/2022] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Cancer screening is a complex process involving multiple steps and levels of influence (e.g., patient, provider, facility, health care system, community, or neighborhood). We describe the design, methods, and research agenda of the Population-based Research to Optimize the Screening Process (PROSPR II) consortium. PROSPR II Research Centers (PRC), and the Coordinating Center aim to identify opportunities to improve screening processes and reduce disparities through investigation of factors affecting cervical, colorectal, and lung cancer screening in U.S. community health care settings. METHODS We collected multilevel, longitudinal cervical, colorectal, and lung cancer screening process data from clinical and administrative sources on >9 million racially and ethnically diverse individuals across 10 heterogeneous health care systems with cohorts beginning January 1, 2010. To facilitate comparisons across organ types and highlight data breadth, we calculated frequencies of multilevel characteristics and volumes of screening and diagnostic tests/procedures and abnormalities. RESULTS Variations in patient, provider, and facility characteristics reflected the PROSPR II health care systems and differing target populations. PRCs identified incident diagnoses of invasive cancers, in situ cancers, and precancers (invasive: 372 cervical, 24,131 colorectal, 11,205 lung; in situ: 911 colorectal, 32 lung; precancers: 13,838 cervical, 554,499 colorectal). CONCLUSIONS PROSPR II's research agenda aims to advance: (i) conceptualization and measurement of the cancer screening process, its multilevel factors, and quality; (ii) knowledge of cancer disparities; and (iii) evaluation of the COVID-19 pandemic's initial impacts on cancer screening. We invite researchers to collaborate with PROSPR II investigators. IMPACT PROSPR II is a valuable data resource for cancer screening researchers.
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Affiliation(s)
- Elisabeth F. Beaber
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Aruna Kamineni
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | | | - Brian Hixon
- Institute for Health Research, Kaiser Permanente Colorado, Aurora, CO
| | - Sarah C. Kobrin
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD
| | - Christopher I. Li
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Malia Oliver
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | - Katharine A. Rendle
- Departments of Family Medicine and Community Health and of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Celette Sugg Skinner
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX,Simmons Comprehensive Cancer Center, Dallas, TX
| | - Kaitlin Todd
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Yingye Zheng
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | | | - Erica S. Breslau
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD
| | - Jessica Chubak
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | - Douglas A. Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Robert T. Greenlee
- Center for Clinical Epidemiology & Population Health, Marshfield Clinic Research Institute, Marshfield, WI
| | - Jennifer S. Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA
| | - Ethan A. Halm
- Department of Medicine, Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Stacey Honda
- Hawaii Permanente Medical Group, Kaiser Permanente Center for Integrated Health Care Research, Honolulu, HI
| | | | | | | | - Jasmin A. Tiro
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX,Simmons Comprehensive Cancer Center, Dallas, TX
| | - Anil Vachani
- Pulmonary, Allergy, and Critical Care Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - V. Paul Doria-Rose
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD
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21
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Rajabiun S, Xiao V, Bak S, Robbins C, Casanova N, Cabral HJ, Lemon SC, Haas JS, Freund KM, Battaglia T. Using community-engaged methods to develop a study protocol for a cost analysis of a multi-site patient navigation intervention for breast cancer care. BMC Health Serv Res 2022; 22:881. [PMID: 35804359 PMCID: PMC9264587 DOI: 10.1186/s12913-022-08192-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 05/16/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Patient navigation is an evidence-based intervention for reducing delays in oncology care among underserved populations. In order to address the financial sustainability of this intervention, information is needed on the cost of implementing patient navigation in diverse healthcare settings. Because patient navigation programs and care settings are highly variable, this paucity of cost data creates difficulties in identifying best practices and decisions about the feasibility of implementing navigation programs within a health care system. One barrier to collecting these cost data is the lack of assessment tools available to support patient navigation programs. These tools must be relevant to the wide variety of navigation activities that exist in health care settings, and be flexible enough to collect cost data important to stakeholders in fee-for-service and value-based care environments. METHODS AND RESULTS We present a novel approach and methods for assessing the cost of a patient navigation program implemented across six hospital systems to enhance timely entry and uptake of breast cancer care and treatment. These methods and tools were developed in partnership with breast oncology patient navigators and supervisors using principles of stakeholder engagement, with the goal of increasing usability and feasibility in the field. CONCLUSIONS This methodology can be used to strengthen cost analysis and assessment tools for other navigation programs for improving care and treatment for patients with chronic conditions. TRIAL REGISTRATION NCT03514433.
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Affiliation(s)
- Serena Rajabiun
- Department of Public Health, University of Massachusetts, Lowell, MA, USA.
| | | | | | | | | | - Howard J Cabral
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | | | | | | | - Tracy Battaglia
- Boston University School of Medicine, Boston, MA, USA.,Boston Medical Center, Boston, MA, USA
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22
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Casanova NL, LeClair AM, Xiao V, Mullikin KR, Lemon SC, Freund KM, Haas JS, Freedman RA, Battaglia TA. Development of a workflow process mapping protocol to inform the implementation of regional patient navigation programs in breast oncology. Cancer 2022; 128 Suppl 13:2649-2658. [PMID: 35699611 PMCID: PMC9201987 DOI: 10.1002/cncr.33944] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 08/06/2021] [Accepted: 08/20/2021] [Indexed: 01/26/2023]
Abstract
BACKGROUND Implementing city-wide patient navigation processes that support patients across the continuum of cancer care is impeded by a lack of standardized tools to integrate workflows and reduce gaps in care. The authors present an actionable workflow process mapping protocol for navigation process planning and improvement based on methods developed for the Translating Research Into Practice study. METHODS Key stakeholders at each study site were identified through existing community partnerships, and data on each site's navigation processes were collected using mixed methods through a series of team meetings. The authors used Health Quality Ontario's Quality Improvement Guide, service design principles, and key stakeholder input to map the collected data onto a template structured according to the case-management model. RESULTS Data collection and process mapping exercises resulted in a 10-step protocol that includes: 1) workflow mapping procedures to guide data collection on the series of activities performed by health care personnel that comprise a patient's navigation experience, 2) a site survey to assess program characteristics, 3) a semistructured interview guide to assess care coordination workflows, 4) a site-level swim lane workflow process mapping template, and 5) a regional high-level process mapping template to aggregate data from multiple site-level process maps. CONCLUSIONS This iterative, participatory approach to data collection and process mapping can be used by improvement teams to streamline care coordination, ultimately improving the design and delivery of an evidence-based navigation model that spans multiple treatment modalities and multiple health systems in a metropolitan area. This protocol is presented as an actionable toolkit so the work may be replicated to support other quality-improvement initiatives and efforts to design truly patient-centered breast cancer treatment experiences. LAY SUMMARY Evidence-based patient navigation in breast cancer care requires the integration of services through each phase of cancer treatment. The Translating Research Into Practice study aims to implement patient navigation for patients with breast cancer who are at risk for delays and are seeking care across 6 health systems in Boston, Massachusetts. The authors designed a 10-step protocol outlining procedures and tools that support a systematic assessment for health systems that want to implement breast cancer patient navigation services for patients who are at risk for treatment delays.
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Affiliation(s)
- Nicole L Casanova
- University of Washington School of Public Health, 1959 NE Pacific St., Seattle, WA, United States of America
| | - Amy M LeClair
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center,800 Washington Street., Boston, MA, United States of America
| | - Victoria Xiao
- Boston Medical Center, 801 Massachusetts Ave., Boston, MA, United States of America
| | - Katelyn R Mullikin
- Boston Medical Center, 801 Massachusetts Ave., Boston, MA, United States of America
| | - Stephenie C Lemon
- University of Massachusetts Medical School, 368 Plantation St., Worcester MA, United States of America
| | - Karen M Freund
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center,800 Washington Street., Boston, MA, United States of America
| | - Jennifer S Haas
- Massachusetts General Hospital, 100 Cambridge St., Suite 1600, Boston, MA, United States of America
| | - Rachel A Freedman
- Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, United States of America
| | - Tracy A Battaglia
- Boston Medical Center, 801 Massachusetts Ave., Boston, MA, United States of America,Boston University School of Medicine, 801 Massachusetts Ave., Boston, MA, United States of America
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23
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Diamond CJ, Laurentiev J, Yang J, Wint A, Harris KA, Dang TH, Mecker A, Carpenter EB, Tosteson AN, Wright A, Haas JS, Atlas SJ, Zhou L. Natural Language Processing to Identify Abnormal Breast, Lung, and Cervical Cancer Screening Test Results from Unstructured Reports to Support Timely Follow-up. Stud Health Technol Inform 2022; 290:433-437. [PMID: 35673051 PMCID: PMC10792587 DOI: 10.3233/shti220112] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Cancer screening and timely follow-up of abnormal results can reduce mortality. One barrier to follow-up is the failure to identify abnormal results. While EHRs have coded results for certain tests, cancer screening results are often stored in free-text reports, which limit capabilities for automated decision support. As part of the multilevel Follow-up of Cancer Screening (mFOCUS) trial, we developed and implemented a natural language processing (NLP) tool to assist with real-time detection of abnormal cancer screening test results (including mammograms, low-dose chest CT scans, and Pap smears) and identification of gynecological follow-up for higher risk abnormalities (i.e. colposcopy) from free-text reports. We demonstrate the integration and implementation of NLP, within the mFOCUS system, to improve the follow-up of abnormal cancer screening results in a large integrated healthcare system. The NLP pipelines have detected scenarios when guideline-recommended care was not delivered, in part because the provider mis-identified the text-based result reports.
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Affiliation(s)
- Courtney J. Diamond
- Department of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - John Laurentiev
- Department of General Internal Medicine, Brigham and Women’s Hospital, Boston, MA, United States
| | - Jie Yang
- Department of General Internal Medicine, Brigham and Women’s Hospital, Boston, MA, United States
| | - Amy Wint
- Department of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Kimberly A. Harris
- Department of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Tin H. Dang
- Department of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Amrita Mecker
- Department of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Emily B. Carpenter
- Department of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Anna N. Tosteson
- The Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth College, Lebanon, NH, United States
| | - Adam Wright
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Jennifer S. Haas
- Department of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Steven J. Atlas
- Department of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Li Zhou
- Department of General Internal Medicine, Brigham and Women’s Hospital, Boston, MA, United States
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24
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Affiliation(s)
- Daniel M Horn
- From the Division of General Internal Medicine, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Jennifer S Haas
- From the Division of General Internal Medicine, Massachusetts General Hospital and Harvard Medical School, Boston
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25
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Haas JS, Cheng D, Yu L, Atlas SJ, Clark C, Feldman S, Silver MI, Kamineni A, Chubak J, Pocobelli G, Tiro JA, Kobrin SC. Variation in the receipt of human papilloma virus co-testing for cervical screening: Individual, provider, facility and healthcare system characteristics. Prev Med 2022; 154:106871. [PMID: 34762966 PMCID: PMC8724456 DOI: 10.1016/j.ypmed.2021.106871] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Revised: 10/18/2021] [Accepted: 11/04/2021] [Indexed: 01/03/2023]
Abstract
Since 2012, cervical cancer screening guidelines allow for choice of screening test for women age 30-65 years (i.e., Pap every 3 years or Pap with human papillomavirus co-testing every 5 years). Intended to give patients and providers options, this flexibility reflects a trend in the growing complexity of screening guidelines. Our objective was to characterize variation in cervical screening at the individual, provider, clinic/facility, and healthcare system levels. The analysis included 296,924 individuals receiving screening from 3626 providers at 136 clinics/facilities in three healthcare systems, 2010 to 2017. Main outcome was receipt of co-testing vs. Pap alone. Co-testing was more common in one healthcare system before the 2012 guidelines (adjusted odds ratio (AOR) of co-testing at the other systems relative to this system 0.00 and 0.50) but was increasingly implemented over time in a second with declining uptake in the third (2017: AORs shifted to 7.32 and 0.01). Despite system-level differences, there was greater heterogeneity in receipt of co-testing associated with providers than clinics/facilities. In the three healthcare systems, providers in the highest quartile of co-testing use had an 8.35, 8.81, and 25.05-times greater odds of providing a co-test to women with the same characteristics relative to the lowest quartile. Similarly, clinics/ facilities in the highest quartile of co-testing use had a 4.20, 3.14, and 6.56-times greater odds of providing a co-test relative to the lowest quartile. Variation in screening test use is associated with health system, provider, and clinic/facility levels even after accounting for patient characteristics.
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Affiliation(s)
- Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
| | - David Cheng
- Biostatistics Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Liyang Yu
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Steven J Atlas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Cheryl Clark
- Division of General Internal Medicine & Primary Care, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Sarah Feldman
- Division of Gynecologic Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Michelle I Silver
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, Saint Louis, MO, United States of America
| | - Aruna Kamineni
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States of America
| | - Jessica Chubak
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States of America
| | - Gaia Pocobelli
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States of America
| | - Jasmin A Tiro
- Department of Population & Data Sciences and Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
| | - Sarah C Kobrin
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, United States of America
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26
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Ziemssen T, Kurzeja A, Muresan B, Haas JS, Alexander J, Driessen MT. Real-world patient characteristics, treatment patterns and costs in relapsing multiple sclerosis patients treated with glatiramer acetate, dimethyl fumarate or teriflunomide in Germany. Neurodegener Dis Manag 2021; 12:93-107. [PMID: 34931528 DOI: 10.2217/nmt-2021-0031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: To evaluate adherence, healthcare resource utilization (HRU) and costs for glatiramer acetate (GA; injectable), dimethyl fumarate (oral) and teriflunomide (oral) in relapsing multiple sclerosis. Patients & methods: Retrospective analyses of a claims database. Results: Teriflunomide patients were older with more co-morbidities and fewer relapses versus GA and dimethyl fumarate. GA patients were mostly disease-modifying therapies (DMTs)-treatment naive. Treatment adherence was 61-70%. All DMTs reduced HRU versus pre-index. Costs were comparable across cohorts. High adherence reduced hospitalizations and several costs versus low adherers. Conclusion: Adherence rates were high and comparable with all DMTs. Similar (and high) reductions in HRU and costs occurred with all DMTs. High adherence improved economic outcomes versus low adherence. Thus, investing in adherence improvement is beneficial to improve outcomes in relapsing multiple sclerosis.
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Affiliation(s)
- Tjalf Ziemssen
- MS Center Dresden, Center of Clinical Neuroscience, Neurological Clinic, University Hospital Carl Gustav Carus, Dresden University of Technology, Fetscherstr. 74, Dresden, 01307, Germany
| | - Anna Kurzeja
- European Medical Affairs, Teva Pharmaceuticals Europe B.V., Piet Heinkade 107, GM, 1019, Amsterdam, The Netherlands
| | - Bogdan Muresan
- Global Health Economics & Outcomes Research, Teva Pharmaceuticals Europe B.V., Piet Heinkade 107, GM, 1019, Amsterdam, The Netherlands
| | - Jennifer S Haas
- Real World Evidence, Xcenda GmbH, Lange Laube 31, Hanover, D-30159, Germany
| | - Jessica Alexander
- Global Medical Affairs, Teva Pharmaceutical Industries Ltd, 145 Brandywine Pkwy, West Chester, PA 19380, USA
| | - Maurice T Driessen
- Global Health Economics & Outcomes Research, Teva Pharmaceuticals Europe B.V., Piet Heinkade 107, GM, 1019, Amsterdam, The Netherlands
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Silver MI, Anderson ML, Beaber EF, Haas JS, Kobrin S, Pocobelli G, Skinner CS, Tiro JA, Kamineni A. De-implementation of cervical cancer screening before age 21. Prev Med 2021; 153:106815. [PMID: 34599920 PMCID: PMC8802556 DOI: 10.1016/j.ypmed.2021.106815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 09/13/2021] [Accepted: 09/26/2021] [Indexed: 11/28/2022]
Abstract
In 2012, United States consensus guidelines were modified to recommend that cervical cancer screening not begin before age 21 and, since 2014, the Health Effectiveness Data and Information Set (HEDIS), a health plan quality measurement too, has included a measure for non-recommended cervical cancer screening among females ages 16-20. Our goal was to describe prevalence over time of cervical cancer screening before age 21 following the 2012 guideline change, and provide information to help understand how rapidly new guidelines may be disseminated and implemented into clinical practice. We used longitudinal clinical and administrative data from three diverse healthcare systems in the Population-based Research to Optimize the Screening Process (PROSPR II) consortium to examine annual trends in screening before age 21. We identified 55,316 average-risk, screening-eligible females ages 18-20 between 2011 and 2017. For each calendar year, we estimated the proportion of females who received a Papanicolaou (Pap) test. We observed a steady decline in the proportion of females under age 21 who received a Pap test, from an average of 8.3% in 2011 to <1% in 2017 across the sites. The observed steady decline suggests growing adherence to the 2012 consensus guidelines. This trend was consistent across diverse geographic regions, healthcare systems, and patient populations, strengthening the generalizability of the results; however, since we only had 1-2 years of study data prior to the consensus guidelines, we cannot discern whether screening under age 21 was already in decline. Nonetheless, these results provide data to compare with other guideline changes to de-implement non-recommended screening practices.
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Affiliation(s)
- Michelle I Silver
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, United States of America.
| | - Melissa L Anderson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States of America
| | - Elisabeth F Beaber
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
| | - Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States of America
| | - Sarah Kobrin
- Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, United States of America
| | - Gaia Pocobelli
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States of America
| | - Celette Sugg Skinner
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States of America; Simmons Comprehensive Cancer Center, Dallas, TX, United States of America
| | - Jasmin A Tiro
- Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States of America; Simmons Comprehensive Cancer Center, Dallas, TX, United States of America
| | - Aruna Kamineni
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, United States of America
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Neil JM, Marotta C, Gonzalez I, Chang Y, Levy DE, Wint A, Harris K, Hawari S, Noonan E, Styklunas G, Crute S, Howard SE, Sheppard J, Lennes IT, Jacobson F, Flores EJ, Haas JS, Park ER, Rigotti NA. Integrating tobacco treatment into lung cancer screening practices: Study protocol for the Screen ASSIST randomized clinical trial. Contemp Clin Trials 2021; 111:106586. [PMID: 34606988 PMCID: PMC8874354 DOI: 10.1016/j.cct.2021.106586] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 09/26/2021] [Accepted: 09/27/2021] [Indexed: 01/01/2023]
Abstract
BACKGROUND Integrating tobacco treatment services into lung cancer screening (LCS) has the potential to leverage a 'teachable moment' to promote cessation among long-term smokers and reduce disparities in tobacco treatment access. This protocol paper describes the Screen ASSIST (Aiding Screening Support In Stopping Tobacco) trial, which will identify how to best deliver evidence-driven tobacco treatment in the context of LCS. METHODS Screen ASSIST is a randomized clinical trial with a 3-factor, fully crossed factorial design that enrolls current smokers (any cigarette use in the past 30 days) scheduled to attend LCS at multiple sites in the Mass General Brigham healthcare system. To maximize reach, recruitment is conducted at 3 time points: 1) at the time of LCS scheduling, 2) at the LCS visit, and 3) after the participant has received their LCS results. Participants are stratified by LCS study site and recruitment point and randomly assigned into 8 groups that test intervention components varying on telehealth counseling duration (4 weeks vs. 8 weeks), nicotine replacement therapy duration (2 weeks vs. 8 weeks), and systematic screening and referral for social determinants of health via a service named 'AuntBertha' (referral vs. no referral). The primary study outcome is self-reported past 7-day tobacco abstinence at 6-month follow-up. This trial will also assess systems integration and evaluate implementation of the intervention. DISCUSSION Screen ASSIST will identify the most effective combination of tobacco cessation treatments within the LCS context, in order to improve the cost-effectiveness of LCS and quality of life among long-term heavy smokers.
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Affiliation(s)
- Jordan M Neil
- Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States of America; TSET Health Promotion Research Center, Stephenson Cancer Center, Oklahoma City, OK, United States of America; Health Promotion and Resiliency and Intervention Research Program; Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America.
| | - Caylin Marotta
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Irina Gonzalez
- Health Promotion and Resiliency and Intervention Research Program; Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Yuchiao Chang
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Douglas E Levy
- Health Promotion and Resiliency and Intervention Research Program; Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America; Tobacco Research and Treatment Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Amy Wint
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Kimberly Harris
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Saif Hawari
- Health Promotion and Resiliency and Intervention Research Program; Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Elise Noonan
- Health Promotion and Resiliency and Intervention Research Program; Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Grace Styklunas
- Health Promotion and Resiliency and Intervention Research Program; Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Sydney Crute
- Health Promotion and Resiliency and Intervention Research Program; Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Sydney E Howard
- Health Promotion and Resiliency and Intervention Research Program; Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America; Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Joanne Sheppard
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Inga T Lennes
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Francine Jacobson
- Department of Radiology, Brigham and Women's Faulkner Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Efren J Flores
- Health Promotion and Resiliency and Intervention Research Program; Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Jennifer S Haas
- Health Promotion and Resiliency and Intervention Research Program; Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America; Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Elyse R Park
- Health Promotion and Resiliency and Intervention Research Program; Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America; Tobacco Research and Treatment Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Nancy A Rigotti
- Health Promotion and Resiliency and Intervention Research Program; Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America; Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America; Tobacco Research and Treatment Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
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LeClair AM, Battaglia TA, Casanova NL, Haas JS, Freund KM, Moy B, Parsons SK, Ko NY, Ross J, Ohrenberger E, Mullikin KR, Lemon SC. Assessment of patient navigation programs for breast cancer patients across the city of Boston. Support Care Cancer 2021; 30:2435-2443. [PMID: 34767089 DOI: 10.1007/s00520-021-06675-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 11/01/2021] [Indexed: 11/29/2022]
Abstract
PURPOSE Healthcare systems contribute to disparities in breast cancer outcomes. Patient navigation is a widely cited system-based approach to improve outcomes among populations at risk for delays in care. Patient navigation programs exist in all major Boston hospitals, yet disparities in outcomes persist. The objective of this study was to conduct a baseline assessment of navigation processes at six Boston hospitals that provide breast cancer care in preparation for an implementation trial of standardized navigation across the city. METHODS We conducted a mixed methods study in six hospitals that provide treatment to breast cancer patients in Boston. We administered a web-based survey to clinical champions (n = 7) across six sites to collect information about the structure of navigation programs. We then conducted in-person workflow assessments at each site using a semi-structured interview guide to understand site-specific implementation processes for patient navigation programs. The target population included administrators, supervisors, and patient navigators who provided breast cancer treatment-focused care. RESULTS All sites offered patient navigation services to their patients undergoing treatment for breast cancer. We identified wide heterogeneity in terms of how programs were funded/resourced, which patients were targeted for navigation, the type of services provided, and the continuity of those services relative to the patient's cancer treatment. CONCLUSIONS The operationalization of patient navigation varies widely across hospitals especially in relation to three core principles in patient navigation: providing patient support across the care continuum, targeting services to those patients most likely to experience delays in care, and systematically screening for and addressing patients' health-related social needs. Gaps in navigation across the care continuum present opportunities for intervention. TRIAL REGISTRATION Clinical Trial Registration Number NCT03514433, 5/2/2018.
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Affiliation(s)
- Amy M LeClair
- Department of Medicine, Tufts Medical Center, Boston, MA, USA.
| | - Tracy A Battaglia
- Women's Health Unit, Section of General Internal Medicine, Evans Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA.,Department of General Internal Medicine, Boston Medical Center, Boston, MA, USA
| | - Nicole L Casanova
- Department of General Internal Medicine, Boston Medical Center, Boston, MA, USA
| | - Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Karen M Freund
- Department of Medicine, Tufts Medical Center, Boston, MA, USA
| | - Beverly Moy
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Susan K Parsons
- Department of Medicine, Tufts Medical Center, Boston, MA, USA
| | - Naomi Y Ko
- Women's Health Unit, Section of General Internal Medicine, Evans Department of Medicine, Boston Medical Center and Boston University School of Medicine, Boston, MA, USA.,Department of General Internal Medicine, Boston Medical Center, Boston, MA, USA
| | - JoEllen Ross
- Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | - Katelyn R Mullikin
- Department of General Internal Medicine, Boston Medical Center, Boston, MA, USA
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30
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Marcondes FO, Cheng D, Alegria M, Haas JS. Are racial/ethnic minorities recently diagnosed with diabetes less likely than white individuals to receive guideline-directed diabetes preventive care? BMC Health Serv Res 2021; 21:1150. [PMID: 34689778 PMCID: PMC8543926 DOI: 10.1186/s12913-021-07146-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 10/08/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Diabetes mellitus has reached epidemic proportions in the United States. As the prevalence of diabetes continues to rise, the burden of disease is divided unevenly among different populations. Racial/ethnic disparities in diabetes care are pervasive, including the provision of care for prevention of complications. Prevention efforts should be focused on the time that immediately follows a diagnosis of diabetes. The aim of this study was to assess racial/ethnic differences in the receipt of guideline-directed diabetes care for complication prevention by individuals recently diagnosed with diabetes. METHODS We used repeated cross-sections of individuals recently diagnosed with diabetes (within the past 5 years) from the National Health Interview Survey from 2011 to 2017. Multivariate regression was used to estimate the associations between race/ethnicity (non-Hispanic White, non-Hispanic Black and Hispanic) and guideline-directed process measures for prevention of diabetes complications (visits to an eye and foot specialist, and blood pressure and cholesterol checks by a health professional - each in the prior year). We assessed effect modification of these associations by socioeconomic status (SES). RESULTS In a sample of 7,341 participants, Hispanics had lower rates of having any insurance coverage (75.9 %) than Non-Hispanic Whites (93.2 %) and Blacks (88.1 %; p<0.001). After adjustment for demographics, total comorbidities, SES, and health insurance status, Hispanics were less likely to have an eye exam in the prior year (OR 0.80; (95 % CI 0.65-0.99); p=0.04) and a blood pressure check (OR 0.42; (95 % CI 0.28-0.65); p<0.001) compared to Non-Hispanic Whites. There was no significant effect modification of race/ethnicity by SES. CONCLUSIONS Hispanics recently diagnosed with diabetes were less likely to receive some indicators of guideline-directed care for the prevention of complications. Lack of insurance and SES may partially explain those differences. Future work should consider policy change and providers' behaviors linked to racial/ethnic disparities in diabetes care.
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Affiliation(s)
- Felippe O Marcondes
- Division of General Internal Medicine, Massachusetts General Hospital, MA, Boston, USA
| | - David Cheng
- Biostatistics Center, Massachusetts General Hospital, MA, Boston, USA
| | - Margarita Alegria
- Disparities Research Unit, Massachusetts General Hospital, MA, Boston, USA
| | - Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, MA, Boston, USA.
- Division of General Internal Medicine, MGH, 100 Cambridge St, Suite 1600, MA, 02114, Boston, USA.
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31
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Marcondes FO, Cheng D, Warner ET, Kamran SC, Haas JS. The trajectory of racial/ethnic disparities in the use of cancer screening before and during the COVID-19 pandemic: A large U.S. academic center analysis. Prev Med 2021; 151:106640. [PMID: 34217419 PMCID: PMC8262076 DOI: 10.1016/j.ypmed.2021.106640] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 05/17/2021] [Accepted: 05/21/2021] [Indexed: 11/18/2022]
Abstract
Cancer screening rates declined sharply early in the COVID-19 pandemic. The impact of the pandemic may have exacerbated existing disparities in cancer screening due to the disproportionate burden of illness and job loss among racial/ ethnic minorities, and potentially, uneven resumption of care between different racial/ ethnic groups. Using electronic health record data from Mass General Brigham (MGB), we assessed changes in rates of breast, cervical, colorectal and lung cancer screening before and during the pandemic. Among patients who received primary care in an MGB-affiliated primary care practice, cancer screening rates were calculated as the number of individuals who received a screening test for each cancer type over the number of individuals due for each test, during each month between April 2019-November 2020. We conducted an interrupted time-series analysis to test for changes in screening rates by race/ethnicity before and during the pandemic. Prior to the pandemic, relative to White individuals, Asian women were less likely to receive breast cancer screening (p < 0.001), and Latinx and Black individuals were less likely to screen for lung cancer (p < 0.001 and p = 0.02). Our results did not show significant improvement or worsening of racial/ethnic disparities for any cancer screening type as screening resumed. However, as of November 2020 rates of screening for breast cancer were lower than pre-pandemic levels for Latinx individuals, and lung cancer screening rates were higher than baseline for Latinx, Black or White individuals. Further monitoring of disparities in cancer screening is warranted as the pandemic evolves.
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Affiliation(s)
- Felippe O Marcondes
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States; Mongan Institute, Clinical Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, United States
| | - David Cheng
- Division of Biostatistics, Massachusetts General Hospital, Boston, MA, United States
| | - Erica T Warner
- Mongan Institute, Clinical Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, United States
| | - Sophia C Kamran
- Department of Radiation Oncology, Mass General Cancer Center, Massachusetts General Hospital, Boston, MA, United States
| | - Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, United States; Mongan Institute, Clinical Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, United States.
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32
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Haas JS, Atlas SJ, Wright A, Orav EJ, Aman DG, Breslau ES, Burdick TE, Carpenter E, Chang F, Dang T, Diamond CJ, Feldman S, Harris KA, Hort SJ, Housman ML, Mecker A, Lehman CD, Percac-Lima S, Smith R, Wint AJ, Yang J, Zhou L, Tosteson ANA. Multilevel Follow-up of Cancer Screening (mFOCUS): Protocol for a multilevel intervention to improve the follow-up of abnormal cancer screening test results. Contemp Clin Trials 2021; 109:106533. [PMID: 34375748 PMCID: PMC8900526 DOI: 10.1016/j.cct.2021.106533] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 07/29/2021] [Accepted: 08/04/2021] [Indexed: 01/01/2023]
Abstract
INTRODUCTION While substantial attention is focused on the delivery of routine preventive cancer screening, less attention has been paid to systematically ensuring that there is timely follow-up of abnormal screening test results. Barriers to completion of timely follow-up occur at the patient, provider, care team and system levels. METHODS In this pragmatic cluster randomized controlled trial, primary care sites in three networks are randomized to one of four arms: (1) standard care, (2) "visit-based" reminders that appear in a patient's electronic health record (EHR) when it is accessed by either patient or providers (3) visit based reminders with population health outreach, and (4) visit based reminders, population health outreach, and patient navigation with systematic screening and referral to address social barriers to care. Eligible patients in participating practices are those overdue for follow-up of an abnormal results on breast, cervical, colorectal and lung cancer screening tests. RESULTS The primary outcome is whether an individual receives follow-up, specific to the organ type and screening abnormality, within 120 days of becoming eligible for the trial. Secondary outcomes assess the effect of intervention components on the patient and provider experience of obtaining follow-up care and the delivery of the intervention components. CONCLUSIONS This trial will provide evidence for the role of a multilevel intervention on improving the follow-up of abnormal cancer screening test results. We will also specifically assess the relative impact of the components of the intervention, compared to standard care. TRIAL REGISTRATION ClinicalTrials.gov NCT03979495.
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Affiliation(s)
- Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - Steven J Atlas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Adam Wright
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - E John Orav
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA
| | - David G Aman
- Information, Technology and Consulting (ITC), Dartmouth College, Lebanon, NH
| | - Erica S Breslau
- Division of Cancer Prevention and Control, National Cancer Institute, Rockville, MD, USA
| | - Timothy E Burdick
- Department of Community and Family Medicine, Dartmouth-Hitchcock Health, Lebanon, NH; The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Hanover, NH, USA
| | - Emily Carpenter
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Frank Chang
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA
| | - Tin Dang
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Courtney J Diamond
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sarah Feldman
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA, USA
| | - Kimberly A Harris
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Shoshana J Hort
- Department of Medicine, Dartmouth-Hitchcock Health, Lebanon, NH, USA
| | - Molly L Housman
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Hanover, NH, USA
| | - Amrita Mecker
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Constance D Lehman
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sanja Percac-Lima
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Rebecca Smith
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Hanover, NH, USA
| | - Amy J Wint
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jie Yang
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA
| | - Li Zhou
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA
| | - Anna N A Tosteson
- The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Hanover, NH, USA; Norris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center and Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
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33
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Croswell JM, Corley DA, Lafata JE, Haas JS, Inadomi JM, Kamineni A, Ritzwoller DP, Vachani A, Zheng Y. Cancer screening in the U.S. through the COVID-19 pandemic, recovery, and beyond. Prev Med 2021; 151:106595. [PMID: 34217414 PMCID: PMC8722181 DOI: 10.1016/j.ypmed.2021.106595] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 04/29/2021] [Accepted: 05/01/2021] [Indexed: 01/08/2023]
Abstract
COVID-19 has proved enormously disruptive to the provision of cancer screening, which does not just represent an initial test but an entire process, including risk detection, diagnostic follow-up, and treatment. Successful delivery of services at all points in the process has been negatively affected by the pandemic. There is a void in empirical high-quality evidence to support a specific strategy for administering cancer screening during a pandemic and its resolution phase, but several pragmatic considerations can help guide prioritization efforts. Targeting guideline-eligible people who have never been screened, or those who are significantly out of date with screening, has the potential to maximize benefits now and into the future. Disruptions to care due to the pandemic could represent an unparalleled opportunity to reassess early detection programs towards an explicit, thoughtful, and just prioritization of populations historically experiencing cancer disparities. By focusing screening services on populations that have the most to gain, and by careful and deliberate planning for the period following the pandemic, we can positively affect cancer outcomes for all.
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Affiliation(s)
- Jennifer M Croswell
- Division of Cancer Control and Population Sciences, National Cancer Institute, USA.
| | - Douglas A Corley
- The Permanente Medical Group, Kaiser Permanente, Northern California, USA
| | - Jennifer Elston Lafata
- University of North Carolina Lineberger Comprehensive Cancer Center and Eshelman School of Pharmacy, USA
| | - Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, USA
| | - John M Inadomi
- Department of Internal Medicine, University of Utah School of Medicine, USA
| | - Aruna Kamineni
- Kaiser Permanente Washington Health Research Institute, USA
| | | | - Anil Vachani
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, USA
| | - Yingye Zheng
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, USA
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Puricelli Perin DM, Christensen T, Burón A, Haas JS, Kamineni A, Pashayan N, Rabeneck L, Smith R, Elfström M, Broeders MJ. Interruption of cancer screening services due to COVID-19 pandemic: lessons from previous disasters. Prev Med Rep 2021; 23:101399. [PMID: 34026465 PMCID: PMC8126519 DOI: 10.1016/j.pmedr.2021.101399] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Revised: 04/05/2021] [Accepted: 05/08/2021] [Indexed: 12/24/2022] Open
Abstract
PURPOSE To review the scientific literature seeking lessons for the COVID-19 era that could be learned from previous health services interruptions that affected the delivery of cancer screening services. METHODS A systematic search was conducted up to April 17, 2020, with no restrictions on language or dates and resulted in 385 articles. Two researchers independently assessed the list and discussed any disagreements. Once a consensus was achieved for each paper, those selected were included in the review. RESULTS Eleven articles were included. Three studies were based in Japan, two in the United States, one in South Korea, one in Denmark, and the remaining four offered a global perspective on interruptions in health services due to natural or human-caused disasters. No articles covered an interruption due to a pandemic. The main themes identified in the reviewed studies were coordination, communication, resource availability and patient follow-up. CONCLUSION Lessons learned applied to the context of COVID-19 are that coordination involving partners across the health sector is essential to optimize resources and resume services, making them more resilient while preparing for future interruptions. Communication with the general population about how COVID-19 has affected cancer screening, measures taken to mitigate it and safely re-establish screening services is recommended. Use of mobile health systems to reach patients who are not accessing services and the application of resource-stratified guidelines are important considerations. More research is needed to explore best strategies for suspending, resuming and sustaining cancer screening programs, and preparedness for future disruptions, adapted to diverse health care systems.
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Affiliation(s)
- Douglas M. Puricelli Perin
- Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA
| | - Tess Christensen
- Radboud university medical center, Radboud Institute for Health Sciences, Nijmegen, the Netherlands
| | - Andrea Burón
- IMIM (Hospital Del Mar Medical Research Institute), Barcelona, Spain
| | - Jennifer S. Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts
| | - Aruna Kamineni
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Nora Pashayan
- Department of Applied Health Research, Institute of Epidemiology and Healthcare, University College London, London, UK
| | - Linda Rabeneck
- Prevention and Cancer Control, Ontario Health (Cancer Care Ontario), Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Robert Smith
- Prevention and Early Detection Department, American Cancer Society, Atlanta, Georgia
| | - Miriam Elfström
- Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden
- Regional Cancer Center of Stockholm Gotland, Stockholm, Sweden
| | - Mireille J.M. Broeders
- Radboud university medical center, Radboud Institute for Health Sciences, Nijmegen, the Netherlands
- Dutch Expert Centre for Screening, Nijmegen, the Netherlands
| | - for the International Cancer Screening Network ICSN
- Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA
- Radboud university medical center, Radboud Institute for Health Sciences, Nijmegen, the Netherlands
- IMIM (Hospital Del Mar Medical Research Institute), Barcelona, Spain
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
- Department of Applied Health Research, Institute of Epidemiology and Healthcare, University College London, London, UK
- Prevention and Cancer Control, Ontario Health (Cancer Care Ontario), Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Prevention and Early Detection Department, American Cancer Society, Atlanta, Georgia
- Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden
- Regional Cancer Center of Stockholm Gotland, Stockholm, Sweden
- Dutch Expert Centre for Screening, Nijmegen, the Netherlands
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35
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Chick J, Andersohn F, Guillo S, Borchert K, Toussi M, Braun S, Haas JS, Kuppan K, Lemming OM, Reines EH, Tubach F. Safety and Persistence of Nalmefene Treatment for Alcohol Dependence. Results from Two Post-authorisation Safety Studies. Alcohol Alcohol 2021; 56:556-564. [PMID: 34196359 PMCID: PMC8406067 DOI: 10.1093/alcalc/agab045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/28/2021] [Accepted: 06/03/2021] [Indexed: 12/04/2022] Open
Abstract
Aims Two post-authorisation studies assessed the safety and persistence of patients’ use of nalmefene. Methods The START study (EUPAS5678) was a non-interventional, multi-country, prospective, 18-month (8 follow-up visits) cohort study including outpatients initiating nalmefene for the first time. The multi-database retrospective cohort study (MDRC, EUPAS14083) included baseline and follow-up data from German, Swedish and UK healthcare databases. Both studies permitted ‘all comers’ without explicit exclusion criteria; predefined subgroups of interest included the elderly (≥65 years) as well as patients with significant psychiatric and/or somatic comorbidities. Results START study: Overall, the mean duration of nalmefene treatment was 10.3 ± 7.3 months (N = 1348), with 49.0% of patients treated for ≥1 year; frequent reasons for treatment discontinuation were ‘goal reached’ and ‘drug cost’. The most frequently reported adverse drug reactions (ADRs) were nausea (4.7%), dizziness (3.2%) and insomnia (2.0%). ADR rates appeared higher in the elderly subpopulation (18.6% reported ≥1 ADR vs. 12.0% in the total population) but were not higher in the other predefined subgroups. MDRC study: The database follow-up analysis followed 2892 patients over 18 months for whom the duration of nalmefene treatment was between 2 and 3 months and <5% of patients used nalmefene for ≥1 year. Conclusions Despite the inclusion of a wider patient population (e.g. elderly patients and those with relevant co-morbidities), the safety and tolerability profile of nalmefene given in routine practice was consistent with previous clinical studies. The differing rates of persistence beyond 1 year likely reflect the different methodologies and highlight the relevance of psychosocial support at follow-up visits.
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Affiliation(s)
| | - Frank Andersohn
- Frank Andersohn Consulting and Research Services, Mandelstr. 16, 10409 Berlin, Germany
| | - Sylvie Guillo
- INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpital Pitié Salpêtrière, Sorbonne Université, 27 rue Chaligny, 75012 Paris, France.,Département de Santé Publique, Centre de Pharmacoépidémiologie (Cephepi), CIC-1901, F75013, Paris, France
| | | | - Massoud Toussi
- IQVIA, Tour D2, 17 bis Place des Reflets, 92400 Courbevoie, France
| | | | | | | | | | | | - Florence Tubach
- INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpital Pitié Salpêtrière, Sorbonne Université, 27 rue Chaligny, 75012 Paris, France.,Département de Santé Publique, Centre de Pharmacoépidémiologie (Cephepi), CIC-1901, F75013, Paris, France
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36
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Neil JM, Chang Y, Goshe B, Rigotti N, Gonzalez I, Hawari S, Ballini L, Haas JS, Marotta C, Wint A, Harris K, Crute S, Flores E, Park ER. A Web-Based Intervention to Increase Smokers' Intentions to Participate in a Cessation Study Offered at the Point of Lung Screening: Factorial Randomized Trial. JMIR Form Res 2021; 5:e28952. [PMID: 34255651 PMCID: PMC8280830 DOI: 10.2196/28952] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 04/25/2021] [Accepted: 05/16/2021] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Screen ASSIST is a cessation trial offered to current smokers at the point of lung cancer screening. Because of the unique position of promoting a prevention behavior (smoking cessation) within the context of a detection behavior (lung cancer screening), this study employed prospect theory to design and formatively evaluate a targeted recruitment video prior to trial launch. OBJECTIVE The aim of this study was to identify which message frames were most effective at promoting intent to participate in a smoking cessation study. METHODS Participants were recruited from a proprietary opt-in online panel company and randomized to a 2 (benefits of quitting vs risks of continuing to smoke at the time of lung screening; BvR) × 2 (gains of participating vs losses of not participating in a cessation study; GvL) message design experiment (N=314). The primary outcome was self-assessed intent to participate in a smoking cessation study. Message effectiveness and lung cancer risk perception measures were also collected. Analysis of variance examined the main effect of the 2 message factors and a least absolute shrinkage and selection operator (LASSO) approach identified predictors of intent to participate in a multivariable model. A mediation analysis was conducted to determine the direct and indirect effects of message factors on intent to participate in a cessation study. RESULTS A total of 296 participants completed the intervention. There were no significant differences in intent to participate in a smoking cessation study between message frames (P=.12 and P=.61). In the multivariable model, quit importance (P<.001), perceived message relevance (P<.001), and affective risk response (ie, worry about developing lung cancer; P<.001) were significant predictors of intent to participate. The benefits of quitting frame significantly increased affective risk response (Meanbenefits 2.60 vs Meanrisk 2.40; P=.03), which mediated the relationship between message frame and intent to participate (b=0.24; 95% CI 0.01-0.47; P=.03). CONCLUSIONS This study provides theoretical and practical guidance on how to design and evaluate proactive recruitment messages for a cessation trial. Based on our findings, we conclude that heavy smokers are more responsive to recruitment messages that frame the benefits of quitting as it increased affective risk response, which predicted greater intention to participate in a smoking cessation study.
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Affiliation(s)
- Jordan M Neil
- Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Yuchiao Chang
- Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Tobacco Research and Treatment Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Brett Goshe
- Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Nancy Rigotti
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Tobacco Research and Treatment Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Irina Gonzalez
- Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Saif Hawari
- Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Lauren Ballini
- Department of Community Health, Tufts University, Medford, MA, United States
| | - Jennifer S Haas
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Caylin Marotta
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Amy Wint
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Kim Harris
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Sydney Crute
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Efren Flores
- Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Elyse R Park
- Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Tobacco Research and Treatment Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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37
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Haas JS, Vogeli C, Yu L, Atlas SJ, Skinner CS, Harris KA, Feldman S, Tiro JA. Patient, provider, and clinic factors associated with the use of cervical cancer screening. Prev Med Rep 2021; 23:101468. [PMID: 34258177 PMCID: PMC8254123 DOI: 10.1016/j.pmedr.2021.101468] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 04/13/2021] [Accepted: 06/17/2021] [Indexed: 11/16/2022] Open
Abstract
Cervical cancer screening delivery remains suboptimal. Understanding the multiple influences on use of screening is important to designing interventions. We describe the influence of patient, primary care provider (PCP), and clinic characteristics on whether a woman is up-to-date with cervical screening as of December 2016. PCPs (n = 194) and their female screen-eligible patients age 21–65 years (n = 32,115) were included in this cross-sectional analysis of patients from two primary care networks linked to a contemporaneous PCP survey. Principal independent variables for patients included: age, race, insurance, continuity of care; for PCP included: overall satisfaction with the practice of medicine, gender, hours worked per week, financial support for achieving clinical targets; and for clinic included: routine receipt of data on preventive care performance and language translation resources. Overall, 66.6% of women were up-to-date. Women were less likely to be up-to-date with cervical cancer screening if they were younger and were more likely to be screened if they were Black, Hispanic or Asian vs. White. Women with greater continuity of primary care or with a female PCP were more likely to be up-to-date (1.52; 1.33–1.75); those who received care in a clinic that was less prepared to manage language translation were less likely to be up-to-date (0.78; 0.65–0.95). Patient, provider, and clinic factors all influence use of cervical cancer screening. Systems interventions like improving continuity of care, promoting translation services, or enhanced efforts to track screening among patients of male PCPs may improve delivery.
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Affiliation(s)
- Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.,Mongan Institute, Massachusetts General Hospital, Boston, MA, United States
| | - Christine Vogeli
- Mongan Institute, Massachusetts General Hospital, Boston, MA, United States
| | - Liyang Yu
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Steven J Atlas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.,Mongan Institute, Massachusetts General Hospital, Boston, MA, United States
| | - Celette Sugg Skinner
- Department of Population & Data Sciences and Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Kimberly A Harris
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Sarah Feldman
- Division of Gynecologic Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Jasmin A Tiro
- Department of Population & Data Sciences and Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, United States
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38
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Feldman S, Haas JS. How the Coronavirus Disease-2019 May Improve Care: Rethinking Cervical Cancer Prevention. J Natl Cancer Inst 2021; 113:662-664. [PMID: 32609333 PMCID: PMC7499664 DOI: 10.1093/jnci/djaa089] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 06/04/2020] [Accepted: 06/10/2020] [Indexed: 11/16/2022] Open
Abstract
These past months of the coronavirus disease-2019 (COVID-2019) pandemic have given us ample opportunity to reflect on the US health-care system. Despite overwhelming tragedy, it is an opportunity for us to learn and to change. As we postpone routine visits because of the pandemic, we worry about risks for patients who delay cancer screening. We use cervical cancer screening and prevention as an example of how we can use some “lessons learned” from the pandemic to prevent “collateral losses,” such as an increase in cancers. COVID-2019–related health-system changes, like the more rapid evaluation of diagnostic tests and vaccines, the transition to compensated virtual care for most counseling and education visits, and broadened access to home services, offer potential benefits to the delivery of cervical cancer screening and prevention. While we detail the case for cervical cancer prevention, many of the issues discussed are generalizable to other preventative measures. It would be a tragedy if the morbidity and mortality of COVID-2019 are multiplied because of additional suffering caused by delayed or deferred cancer screening and diagnostic evaluation—but maybe with creativity and reflection, we can use this pandemic to improve care.
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Affiliation(s)
- Sarah Feldman
- Division of Gynecologic Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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39
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Eyestone E, Williams RM, Luta G, Kim E, Toll BA, Rojewski A, Neil J, Cinciripini PM, Cordon M, Foley K, Haas JS, Joseph AM, Minnix JA, Ostroff JS, Park E, Rigotti N, Sorgen L, Taylor KL. Predictors of Enrollment of Older Smokers in Six Smoking Cessation Trials in the Lung Cancer Screening Setting: The Smoking Cessation at Lung Examination (SCALE) Collaboration. Nicotine Tob Res 2021; 23:2037-2046. [PMID: 34077535 DOI: 10.1093/ntr/ntab110] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 06/01/2021] [Indexed: 12/23/2022]
Abstract
SIGNIFICANCE Increased rates of smoking cessation will be essential to maximize the population benefit of low-dose CT screening for lung cancer. The NCI's Smoking Cessation at Lung Examination (SCALE) Collaboration includes eight randomized trials, each assessing evidence-based interventions among smokers undergoing lung cancer screening (LCS). We examined predictors of trial enrollment to improve future outreach efforts for cessation interventions offered to older smokers in this and other clinical settings. METHODS We included the six SCALE trials that randomized individual participants. We assessed demographics, intervention modalities, LCS site and trial administration characteristics, and reasons for declining. RESULTS Of 6,285 trial- and LCS-eligible individuals, 3,897 (62%) declined and 2,388 (38%) enrolled. In multivariable logistic regression analyses, Blacks had higher enrollment rates (OR 1.5, 95% CI 1.2,1.8) compared to Whites. Compared to 'NRT Only' trials, those approached for 'NRT+prescription medication' trials had higher odds of enrollment (OR 6.1, 95% CI 4.7,7.9). Regarding enrollment methods, trials using 'Phone+In Person' methods had higher odds of enrollment (OR 1.6, 95% CI 1.2,1.9) compared to trials using 'Phone Only' methods. Some of the reasons for declining enrollment included 'too busy' (36.6%), 'not ready to quit' (8.2%), 'not interested in research' (7.7%), and 'not interested in the intervention offered' (6.2%). CONCLUSION Enrolling smokers in cessation interventions in the LCS setting is a major priority that requires multiple enrollment and intervention modalities. Barriers to enrollment provide insights that can be addressed and applied to future cessation interventions to improve implementation in LCS and other clinical settings with older smokers. IMPLICATIONS We explored enrollment rates and reasons for declining across six smoking cessation trials in the lung cancer screening setting. Offering multiple accrual methods and pharmacotherapy options predicted increased enrollment across trials. Enrollment rates were also greater among Blacks compared to Whites. The findings offer practical information for the implementation of cessation trials and interventions in the lung cancer screening context and other clinical settings, regarding intervention modalities that may be most appealing to older, long-term smokers.
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Affiliation(s)
- Ellie Eyestone
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States
| | - Randi M Williams
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States
| | - George Luta
- Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University Medical Center, Washington, DC, United States
| | - Emily Kim
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States
| | - Benjamin A Toll
- Department of Public Health Sciences and Psychiatry, Medical University of South Carolina, Charleston, South Carolina
| | - Alana Rojewski
- Department of Public Health Sciences and Psychiatry, Medical University of South Carolina, Charleston, South Carolina
| | - Jordan Neil
- Harvard Medical School/Massachusetts General Hospital, Department of Medicine, Boston, MA, USA
| | - Paul M Cinciripini
- Department of Behavioral Science, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Marisa Cordon
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States
| | - Kristie Foley
- Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Jennifer S Haas
- Harvard Medical School/Massachusetts General Hospital, Department of Medicine, Boston, MA, USA
| | - Anne M Joseph
- Department of Medicine, University of Minnesota, Minneapolis, MN, United States
| | - Jennifer A Minnix
- Department of Behavioral Science, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jamie S Ostroff
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Elyse Park
- Harvard Medical School/Massachusetts General Hospital, Department of Psychiatry, Boston, MA, USA
| | - Nancy Rigotti
- Harvard Medical School/Massachusetts General Hospital, Department of Medicine, Boston, MA, USA
| | - Lia Sorgen
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States
| | - Kathryn L Taylor
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, United States
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40
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Burger EA, Jansen EE, Killen J, Kok IMD, Smith MA, Sy S, Dunnewind N, G Campos N, Haas JS, Kobrin S, Kamineni A, Canfell K, Kim JJ. Impact of COVID-19-related care disruptions on cervical cancer screening in the United States. J Med Screen 2021; 28:213-216. [PMID: 33730899 DOI: 10.1177/09691413211001097] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVES To quantify the secondary impacts of the COVID-19 pandemic disruptions to cervical cancer screening in the United States, stratified by step in the screening process and primary test modality, on cervical cancer burden. METHODS We conducted a comparative model-based analysis using three independent NCI Cancer Intervention and Surveillance Modeling Network cervical models to quantify the impact of eight alternative COVID-19-related screening disruption scenarios compared to a scenario of no disruptions. Scenarios varied by the duration of the disruption (6 or 24 months), steps in the screening process being disrupted (primary screening, surveillance, colposcopy, excisional treatment), and primary screening modality (cytology alone or cytology plus human papillomavirus "cotesting"). RESULTS The models consistently showed that COVID-19-related disruptions yield small net increases in cervical cancer cases by 2027, which are greater for women previously screened with cytology compared with cotesting. When disruptions affected all four steps in the screening process under cytology-based screening, there were an additional 5-7 and 38-45 cases per one million screened for 6- and 24-month disruptions, respectively. In contrast, under cotesting, there were additional 4-5 and 35-45 cases per one million screened for 6- and 24-month disruptions, respectively. The majority (58-79%) of the projected increases in cases under cotesting were due to disruptions to surveillance, colposcopies, or excisional treatment, rather than to primary screening. CONCLUSIONS Women in need of surveillance, colposcopies, or excisional treatment, or whose last primary screen did not involve human papillomavirus testing, may comprise priority groups for reintroductions.
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Affiliation(s)
- Emily A Burger
- Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Department of Health Management and Health Economics, University of Oslo, Oslo, Norway
| | - Erik El Jansen
- Erasmus MC, University Medical Center Rotterdam, Department of Public Health, Rotterdam, Netherlands
| | - James Killen
- Cancer Research Division, Cancer Council NSW, Sydney, Australia
| | - Inge McM de Kok
- Erasmus MC, University Medical Center Rotterdam, Department of Public Health, Rotterdam, Netherlands
| | - Megan A Smith
- Cancer Research Division, Cancer Council NSW, Sydney, Australia.,School of Public Health, University of Sydney, Sydney, Australia
| | - Stephen Sy
- Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Niels Dunnewind
- Erasmus MC, University Medical Center Rotterdam, Department of Public Health, Rotterdam, Netherlands
| | | | | | - Sarah Kobrin
- National Cancer Institute, Division of Cancer Control and Population Sciences, Rockville, MD, USA
| | - Aruna Kamineni
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Karen Canfell
- Cancer Research Division, Cancer Council NSW, Sydney, Australia.,School of Public Health, University of Sydney, Sydney, Australia
| | - Jane J Kim
- Harvard T. H. Chan School of Public Health, Boston, MA, USA
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41
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Corley DA, Sedki M, Ritzwoller DP, Greenlee RT, Neslund-Dudas C, Rendle KA, Honda SA, Schottinger JE, Udaltsova N, Vachani A, Kobrin S, Li CI, Haas JS. Cancer Screening During the Coronavirus Disease-2019 Pandemic: A Perspective From the National Cancer Institute's PROSPR Consortium. Gastroenterology 2021; 160:999-1002. [PMID: 33096099 PMCID: PMC7575503 DOI: 10.1053/j.gastro.2020.10.030] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 10/12/2020] [Accepted: 10/15/2020] [Indexed: 02/07/2023]
Affiliation(s)
- The National Cancer Institute’s PROSPR ConsortiumCorleyDouglas A.∗SedkiMai∗Division of Research, Kaiser Permanente Northern California,
Oakland, CaliforniaRitzwollerDebra P.Institute for Health Research, Kaiser Permanente Colorado,
Denver, ColoradoGreenleeRobert T.Center for Clinical Epidemiology and Population Health,
Marshfield Clinic Research Institute, Marshfield, WisconsinNeslund-DudasChristineDepartment of Public Health Sciences, Henry Ford Cancer
Institute, Henry Ford Health System, Detroit, MichiganRendleKatharine A.Department of Family Medicine and Community Health, University of
Pennsylvania Perelman School of Medicine, Philadelphia,
PennsylvaniaHondaStacey A.Department of Pathology, Kaiser Permanente Hawaii, Honolulu,
HawaiiSchottingerJoanne E.Department of Hematology and Oncology, Kaiser Permanente Southern
California, Oakland, CaliforniaUdaltsovaNataliaDivision of Research, Kaiser Permanente Northern California,
Oakland, CaliforniaVachaniAnilDivision of Pulmonology, Allergy and Critical Care, University of
Pennsylvania Perelman School of Medicine, Philadelphia,
PennsylvaniaKobrinSarahNational Cancer Institute, Bethesda, MarylandLiChristopher I.Fred Hutchinson Cancer Research Center, Seattle,
WashingtonHaasJennifer S.Division of General Internal Medicine, Massachusetts General
Hospital, Boston, Massachusetts
| | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Mai Sedki
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Debra P Ritzwoller
- Institute for Health Research, Kaiser Permanente Colorado, Denver, Colorado
| | - Robert T Greenlee
- Center for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin
| | - Christine Neslund-Dudas
- Department of Public Health Sciences, Henry Ford Cancer Institute, Henry Ford Health System, Detroit, Michigan
| | - Katharine A Rendle
- Department of Family Medicine and Community Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Stacey A Honda
- Department of Pathology, Kaiser Permanente Hawaii, Honolulu, Hawaii
| | - Joanne E Schottinger
- Department of Hematology and Oncology, Kaiser Permanente Southern California, Oakland, California
| | - Natalia Udaltsova
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Anil Vachani
- Division of Pulmonology, Allergy and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | | | | | - Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, Massachusetts
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42
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Lee CI, Zhu W, Onega T, Henderson LM, Kerlikowske K, Sprague BL, Rauscher GH, O’Meara ES, Tosteson ANA, Haas JS, diFlorio-Alexander R, Kaplan C, Miglioretti DL. Comparative Access to and Use of Digital Breast Tomosynthesis Screening by Women's Race/Ethnicity and Socioeconomic Status. JAMA Netw Open 2021; 4:e2037546. [PMID: 33606032 PMCID: PMC7896194 DOI: 10.1001/jamanetworkopen.2020.37546] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 12/27/2020] [Indexed: 11/14/2022] Open
Abstract
Importance Digital breast tomosynthesis (DBT) has reduced recall and increased cancer detection compared with digital mammography (DM), depending on women's age and breast density. Whether DBT screening access and use are equitable across groups of women based on race/ethnicity and socioeconomic characteristics is uncertain. Objective To determine women's access to and use of DBT screening based on race/ethnicity, educational attainment, and income. Design, Setting, and Participants This cross-sectional study included 92 geographically diverse imaging facilities across 5 US states, at which a total of 2 313 118 screening examinations were performed among women aged 40 to 89 years from January 1, 2011, to December 31, 2017. Data were analyzed from June 13, 2019, to August 18, 2020. Exposures Women's race/ethnicity, educational level, and community-level household income. Main Outcomes and Measures Access to DBT (on-site access) at time of screening by examination year and actual use of DBT vs DM screening by years since facility-level DBT adoption (≤5 years). Results Among the 2 313 118 screening examinations included in the analysis, the proportion of women who had DBT access at the time of their screening appointment increased from 11 558 of 354 107 (3.3%) in 2011 to 194 842 of 235 972 (82.6%) in 2017. In 2012, compared with White women, Black (relative risk [RR], 0.05; 95% CI, 0.03-0.11), Asian American (RR, 0.28; 95% CI, 0.11-0.75), and Hispanic (RR, 0.38; 95% CI, 0.18-0.80) women had significantly less DBT access, and women with less than a high school education had lower DBT access compared with college graduates (RR, 0.18; 95% CI, 0.10-0.32). Among women attending facilities with both DM and DBT available at the time of screening, Black women experienced lower DBT use compared with White women attending the same facility (RRs, 0.83 [95% CI, 0.82-0.85] to 0.98 [95% CI, 0.97-0.99]); women with lower educational level experienced lower DBT use (RRs, 0.79 [95% CI, 0.74-0.84] to 0.88 [95% CI, 0.85-0.91] for non-high school graduates and 0.90 [95% CI, 0.89-0.92] to 0.96 [95% CI, 0.93-0.99] for high school graduates vs college graduates); and women within the lowest income quartile experienced lower DBT use vs women in the highest income quartile (RRs, 0.89 [95% CI, 0.87-0.91] to 0.99 [95% CI, 0.98-1.00]) regardless of the number of years after facility-level DBT adoption. Conclusions and Relevance In this cross-sectional study, women of minority race/ethnicity and lower socioeconomic status experienced lower DBT access during the early adoption period and persistently lower DBT use when available over time. Future efforts should address racial/ethnic, educational, and financial barriers to DBT screening.
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Affiliation(s)
- Christoph I. Lee
- Department of Radiology, University of Washington School of Medicine, Seattle
- Department of Health Services, University of Washington School of Public Health, Seattle
| | - Weiwei Zhu
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Tracy Onega
- Huntsman Cancer Institute, Department of Population Health Sciences, University of Utah, Salt Lake City
| | - Louise M. Henderson
- Department of Radiology, University of North Carolina at Chapel Hill
- Department of Epidemiology, University of North Carolina at Chapel Hill
| | - Karla Kerlikowske
- Department of Medicine, University of California, San Francisco
- Department of Epidemiology and Biostatistics, University of California, San Francisco
- General Internal Medicine Section, Department of Veterans Affairs, University of California, San Francisco
| | - Brian L. Sprague
- Department of Surgery, University of Vermont Cancer Center, Burlington
- Department of Radiology, University of Vermont Cancer Center, Burlington
| | - Garth H. Rauscher
- Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago
| | - Ellen S. O’Meara
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Anna N. A. Tosteson
- The Dartmouth Institute for Health Policy and Clinical Practice, Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire
| | - Jennifer S. Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Celia Kaplan
- Department of Medicine, University of California, San Francisco
| | - Diana L. Miglioretti
- Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, School of Medicine
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle
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Abstract
This cohort study assesses the risk of household transmission of SARS-CoV-2 and the associated risk factors among exposed household members.
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Affiliation(s)
- Joshua P. Metlay
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jennifer S. Haas
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Alexander E. Soltoff
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Katrina A. Armstrong
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
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44
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Clark CR, Haas JS, Lemon SC, Freund KM, Burns White K, Marotta C, Wint AJ, LeClair AM, Lloyd-Travaglini C, Xiao V, Casanova N, Battaglia TA. RE: How the Coronavirus Disease-2019 May Improve Care: Rethinking Cervical Cancer Prevention. J Natl Cancer Inst 2021; 113:103-104. [PMID: 33057729 PMCID: PMC7665669 DOI: 10.1093/jnci/djaa152] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 09/16/2020] [Indexed: 01/05/2023] Open
Affiliation(s)
- Cheryl R Clark
- Division of General Internal Medicine and Primary Care, Brigham & Women's Hospital, Boston, MA, USA.,Center for Community Health and Health Equity, Brigham & Women's Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Jennifer S Haas
- Harvard Medical School, Boston, MA, USA.,Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Stephenie C Lemon
- Division of Preventive and Behavioral Medicine, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA
| | - Karen M Freund
- Institute for Clinical Research and Health Policy Studies and the Department of Medicine, Tufts Medical Center, Boston, MA, USA
| | - Karen Burns White
- Initiative to Eliminate Cancer Disparities, Dana-Farber/Harvard Cancer Center, Boston, MA, USA
| | - Caylin Marotta
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Amy J Wint
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Amy M LeClair
- Institute for Clinical Research and Health Policy Studies and the Department of Medicine, Tufts Medical Center, Boston, MA, USA
| | - Christine Lloyd-Travaglini
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - Victoria Xiao
- Women's Health Unit, Section of General Internal Medicine, Boston Medical Center, Boston, MA, USA
| | - Nicole Casanova
- Women's Health Unit, Section of General Internal Medicine, Boston Medical Center, Boston, MA, USA
| | - Tracy A Battaglia
- Women's Health Unit, Section of General Internal Medicine, Boston Medical Center, Boston, MA, USA.,Boston University School of Medicine, Boston, MA USA
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45
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Haas JS, Lemon SC, Freund KM, Battaglia TA. Outside Our Walls: the Case for City-Wide Collaboration to Reduce Disparities. J Gen Intern Med 2021; 36:211-213. [PMID: 32720235 PMCID: PMC7859124 DOI: 10.1007/s11606-020-06006-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 05/01/2020] [Accepted: 06/19/2020] [Indexed: 11/25/2022]
Affiliation(s)
- Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, 100 Cambridge St, Suite 1600, Boston, MA, 02114, USA.
| | - Stephenie C Lemon
- Division of Preventive and Behavioral Medicine, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA
| | - Karen M Freund
- Institute for Clinical Research and Health Policy Studies and the Department of Medicine, Tufts Medical Center, 800 Washington St, Boston, MA, 02111, USA
| | - Tracy A Battaglia
- Women's Health Unit, Section of General Internal Medicine, Evans Department of Medicine, Boston Medical Center and Boston University School of Medicine, 801 Massachusetts Ave, Boston, MA, 02118, USA
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46
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Affiliation(s)
- Daniel M Horn
- From the Division of General Internal Medicine, Massachusetts General Hospital and Harvard Medical School, Boston
| | - Jennifer S Haas
- From the Division of General Internal Medicine, Massachusetts General Hospital and Harvard Medical School, Boston
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47
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Park ER, Chiles C, Cinciripini PM, Foley KL, Fucito LM, Haas JS, Joseph AM, Ostroff JS, Rigotti NA, Shelley DR, Taylor KL, Zeliadt SB, Toll BA. Impact of the COVID-19 pandemic on telehealth research in cancer prevention and care: A call to sustain telehealth advances. Cancer 2020; 127:334-338. [PMID: 33048350 PMCID: PMC7675475 DOI: 10.1002/cncr.33227] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 08/23/2020] [Accepted: 08/28/2020] [Indexed: 11/06/2022]
Abstract
History has shown that we must adapt and learn from crises so that we can improve how we deliver care and conduct research to improve clinical outcomes. The COVID‐19 pandemic has expedited work regarding virtual research methods and serves as an opportunity to evaluate how to initiate, implement, and sustain cancer prevention, early detection, and treatment research going forward.
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Affiliation(s)
- Elyse R Park
- Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.,Dana Farber/Harvard Cancer Center, Boston, Massachusetts
| | - Caroline Chiles
- Wake Forest School of Medicine, Winston-Salem, North Carolina
| | | | - Kristie L Foley
- Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Lisa M Fucito
- Yale Cancer Center, New Haven, Connecticut.,Yale School of Medicine, Yale University, New Haven, Connecticut
| | - Jennifer S Haas
- Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.,Dana Farber/Harvard Cancer Center, Boston, Massachusetts
| | - Anne M Joseph
- University of Minnesota Medical School, Minneapolis, Minnesota
| | | | - Nancy A Rigotti
- Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.,Dana Farber/Harvard Cancer Center, Boston, Massachusetts
| | - Donna R Shelley
- New York University School of Global Public Health, New York, New York
| | - Kathryn L Taylor
- Georgetown Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC
| | - Steven B Zeliadt
- University of Washington School of Public Health, Seattle, Washington.,Veterans Affairs Puget Sound Health Care System, Seattle, Washington
| | - Benjamin A Toll
- Hollings Cancer Center, Charleston, South Carolina.,Medical University of South Carolina, Charleston, South Carolina
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48
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Barlow WE, Beaber EF, Geller BM, Kamineni A, Zheng Y, Haas JS, Chao CR, Rutter CM, Zauber AG, Sprague BL, Halm EA, Weaver DL, Chubak J, Doria-Rose VP, Kobrin S, Onega T, Quinn VP, Schapira MM, Tosteson ANA, Corley DA, Skinner CS, Schnall MD, Armstrong K, Wheeler CM, Silverberg MJ, Balasubramanian BA, Doubeni CA, McLerran D, Tiro JA. Evaluating Screening Participation, Follow-up, and Outcomes for Breast, Cervical, and Colorectal Cancer in the PROSPR Consortium. J Natl Cancer Inst 2020; 112:238-246. [PMID: 31292633 DOI: 10.1093/jnci/djz137] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 04/11/2019] [Accepted: 07/03/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Cancer screening is a complex process encompassing risk assessment, the initial screening examination, diagnostic evaluation, and treatment of cancer precursors or early cancers. Metrics that enable comparisons across different screening targets are needed. We present population-based screening metrics for breast, cervical, and colorectal cancers for nine sites participating in the Population-based Research Optimizing Screening through Personalized Regimens consortium. METHODS We describe how selected metrics map to a trans-organ conceptual model of the screening process. For each cancer type, we calculated calendar year 2013 metrics for the screen-eligible target population (breast: ages 40-74 years; cervical: ages 21-64 years; colorectal: ages 50-75 years). Metrics for screening participation, timely diagnostic evaluation, and diagnosed cancers in the screened and total populations are presented for the total eligible population and stratified by age group and cancer type. RESULTS The overall screening-eligible populations in 2013 were 305 568 participants for breast, 3 160 128 for cervical, and 2 363 922 for colorectal cancer screening. Being up-to-date for testing was common for all three cancer types: breast (63.5%), cervical (84.6%), and colorectal (77.5%). The percentage of abnormal screens ranged from 10.7% for breast, 4.4% for cervical, and 4.5% for colorectal cancer screening. Abnormal breast screens were followed up diagnostically in almost all (96.8%) cases, and cervical and colorectal were similar (76.2% and 76.3%, respectively). Cancer rates per 1000 screens were 5.66, 0.17, and 1.46 for breast, cervical, and colorectal cancer, respectively. CONCLUSIONS Comprehensive assessment of metrics by the Population-based Research Optimizing Screening through Personalized Regimens consortium enabled systematic identification of screening process steps in need of improvement. We encourage widespread use of common metrics to allow interventions to be tested across cancer types and health-care settings.
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Affiliation(s)
| | - Elisabeth F Beaber
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Berta M Geller
- Departments of Family Medicine, and the University of Vermont Cancer Center, University of Vermont, Burlington, VT
| | - Aruna Kamineni
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | - Yingye Zheng
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Dana Farber, Harvard Cancer Institute, Harvard School of Public Health, Boston, MA
| | - Chun R Chao
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | | | - Ann G Zauber
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Brian L Sprague
- Departments of Surgery and Radiology, University of Vermont, Burlington, VT
| | - Ethan A Halm
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.,Simmons Comprehensive Cancer Center, Dallas, TX
| | - Donald L Weaver
- Department of Pathology and the UVM Cancer Center, University of Vermont, Burlington, VT
| | - Jessica Chubak
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | - V Paul Doria-Rose
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA.,Healthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD
| | - Sarah Kobrin
- Healthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD
| | - Tracy Onega
- Departments of Biomedical Data Science, Epidemiology, and the Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH
| | | | - Marilyn M Schapira
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, and CMC VA Medical Center, Philadelphia, PA
| | - Anna N A Tosteson
- The Dartmouth Institute for Health Policy and Clinical Practice and Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, NH
| | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Celette Sugg Skinner
- Simmons Comprehensive Cancer Center, Dallas, TX.,Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX
| | - Mitchell D Schnall
- Department of Radiology, University of Pennsylvania, Perelman School of Medicine, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Katrina Armstrong
- General Medicine Division, MA General Hospital, Harvard Medical School, Boston, MA
| | - Cosette M Wheeler
- Departments of Pathology and Obstetrics and Gynecology, University of New Mexico Health Science Center, Albuquerque, NM.,University of New Mexico Comprehensive Cancer Center, Albuquerque, NM
| | | | - Bijal A Balasubramanian
- Simmons Comprehensive Cancer Center, Dallas, TX.,UTHealth School of Public Health, Dallas, TX
| | - Chyke A Doubeni
- Department of Family Medicine and Community Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Dale McLerran
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Jasmin A Tiro
- Simmons Comprehensive Cancer Center, Dallas, TX.,Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX
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49
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Kruse GR, Park ER, Chang Y, Haberer JE, Abroms LC, Shahid NN, Howard S, Haas JS, Rigotti NA. Proactively Offered Text Messages and Mailed Nicotine Replacement Therapy for Smokers in Primary Care Practices: A Pilot Randomized Trial. Nicotine Tob Res 2020; 22:1509-1514. [PMID: 32198520 PMCID: PMC7443591 DOI: 10.1093/ntr/ntaa050] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 03/17/2020] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Proactive, population health cessation programs can guide efforts to reach smokers outside of the clinic to encourage quit attempts and treatment use. AIMS AND METHODS This study aimed to measure trial feasibility and preliminary effects of a proactive intervention offering text messages (TM) and/or mailed nicotine replacement therapy (NRT) to smokers in primary care clinics. From 2017 to 2019 we performed a pilot randomized trial comparing brief telephone advice (control: BA), TM, 2 weeks of mailed NRT, or both interventions (TM + NRT). Patients were identified using electronic health records and contacted proactively by telephone to assess interest in the study. We compared quit attempts, treatment use, and cessation in the intervention arms with BA. RESULTS Of 986 patients contacted, 153 (16%) enrolled (mean age 53 years, 57% female, 76% white, 11% black, 8% Hispanic, 52% insured by Medicaid) and 144 (94%) completed the 12-week assessment. On average, patients in the TM arms received 159 messages (99.4% sent, 0.6% failed), sent 19 messages, and stayed in the program for 61 days. In all groups, a majority of patients reported quit attempts (BA 67% vs. TM 86% [p = .07], NRT 81% [p = .18], TM + NRT 79% [p = .21]) and NRT use (BA 51% vs. NRT 83% [p = .007], TM 65% [p = .25], TM + NRT 76% [p = .03]). Effect estimates for reported 7-day abstinence were BA 10% versus TM 26% (p = .09), NRT 28% (p = .06), and TM + NRT 23% (p = .14). CONCLUSIONS Proactively offering TM or mailed nicotine medications was feasible among primary care smokers and a promising approach to promote quit attempts and short-term abstinence. IMPLICATIONS Proactive intervention programs to promote quit attempts outside of office visits among smokers enrolled in primary care practices are needed. TM have potential to engage smokers not planning to quit or to support smokers to make a planned quit attempt. This pilot study demonstrates the feasibility of testing a proactive treatment model including TM and/or mailed NRT to promote quit attempts, treatment use, and cessation among nontreatment-seeking smokers in primary care. CLINICALTRIALS.GOV IDENTIFIER NCT03174158.
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Affiliation(s)
- Gina R Kruse
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Tobacco Research and Treatment Center, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Elyse R Park
- Tobacco Research and Treatment Center, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA
| | - Yuchiao Chang
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Jessica E Haberer
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Center for Global Health, Department of Medicine, Massachusetts General Hospital, Boston, MA
| | - Lorien C Abroms
- Department of Prevention and Community Health, Milken Institute School of Public Health, George Washington University, Washington, DC
| | - Naysha N Shahid
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA
| | - Sydney Howard
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA
| | - Jennifer S Haas
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Nancy A Rigotti
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Tobacco Research and Treatment Center, Department of Medicine, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
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50
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Ghai NR, Jensen CD, Merchant SA, Schottinger JE, Lee JK, Chubak J, Kamineni A, Halm EA, Skinner CS, Haas JS, Green BB, Cannizzaro NT, Schneider JL, Corley DA. Primary Care Provider Beliefs and Recommendations About Colorectal Cancer Screening in Four Healthcare Systems. Cancer Prev Res (Phila) 2020; 13:947-958. [PMID: 32669318 DOI: 10.1158/1940-6207.capr-20-0109] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 06/01/2020] [Accepted: 07/08/2020] [Indexed: 12/31/2022]
Abstract
Primary care provider's (PCP) perceptions of colorectal cancer screening test effectiveness and their recommendations for testing intervals influence patient screening uptake. Few large studies have examined providers' perceptions and recommendations, including their alignment with evidence suggesting comparable test effectiveness and guideline recommendations for screening frequency. Providers (n = 1,281) within four healthcare systems completed a survey in 2017-2018 regarding their perceptions of test effectiveness and recommended intervals for colonoscopy and fecal immunochemical testing (FIT) for patients ages 40-49, 50-74, and ≥75 years. For patients 50-74 (screening eligible), 82.9% of providers rated colonoscopy as very effective versus 59.6% for FIT, and 26.3% rated colonoscopy as more effective than FIT. Also, for this age group, 77.9% recommended colonoscopy every 10 years and 92.4% recommended FIT annually. For patients ages 40-49 and ≥75, more than one-third of providers believed the tests were somewhat or very effective, although >80% did not routinely recommend screening by either test for these age groups. Provider screening test interval recommendations generally aligned with colorectal cancer guidelines; however, 25% of providers believed colonoscopy was more effective than FIT for mortality reduction, which differs from some modeling studies that suggest comparable effectiveness. The latter finding may have implications for health systems where FIT is the dominant screening strategy. Only one-third of providers reported believing these screening tests were effective in younger and older patients (i.e., <50 and ≥75 years). Evidence addressing these beliefs may be relevant if cancer screening recommendations are modified to include older and/or younger patients.
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Affiliation(s)
- Nirupa R Ghai
- Department of Patient Care Services, Kaiser Permanente Southern California, Pasadena, CA.
| | | | - Sophie A Merchant
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Joanne E Schottinger
- Department of Quality and Clinical Analysis, Kaiser Permanente Southern California, Pasadena, CA
| | - Jeffrey K Lee
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Jessica Chubak
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA
| | - Aruna Kamineni
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA
| | - Ethan A Halm
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.,Simmons Comprehensive Cancer Center and Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
| | - Celette Sugg Skinner
- Simmons Comprehensive Cancer Center and Department of Population & Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
| | - Jennifer S Haas
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Dana Farber Harvard Cancer Institute, Harvard School of Public Health, Boston, MA
| | - Beverly B Green
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA
| | - Nancy T Cannizzaro
- Department Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | | | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
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