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Swisher EM, Harris HM, Knerr S, Theoryn TN, Norquist BM, Brant J, Shirts BH, Beers F, Cameron D, Dusic EJ, Riemann LA, Devine B, Raff ML, Kadel R, Cabral HJ, Wang C. Strategies to Assess Risk for Hereditary Cancer in Primary Care Clinics: A Cluster Randomized Clinical Trial. JAMA Netw Open 2025; 8:e250185. [PMID: 40053353 PMCID: PMC11889468 DOI: 10.1001/jamanetworkopen.2025.0185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2024] [Accepted: 12/30/2024] [Indexed: 03/10/2025] Open
Abstract
Importance Best practices for improving access to assessment of hereditary cancer risk in primary care are lacking. Objective To compare 2 population-based engagement strategies for identifying primary care patients with a family or personal history of cancer and offering eligible individuals genetic testing for cancer susceptibility. Design, Setting, and Participants The EDGE (Early Detection of Genetic Risk) clinical trial cluster-randomized 12 clinics from 2 health care systems in Montana, Wyoming, and Washington state to 1 of 2 engagement approaches for assessment of hereditary cancer risk in primary care. The study population included 95 623 English-speaking patients at least 25 years old with a primary care visit during the recruitment window between April 1, 2021, and March 31, 2022. Intervention The intervention comprised 2 risk assessment engagement approaches: (1) point of care (POC), conducted by staff immediately preceding clinical appointments, and (2) direct patient engagement (DPE), where letter and email outreach facilitated at-home completion. Patients who completed risk assessment and met prespecified criteria were offered genetic testing via a home-delivered saliva testing kit at no cost. Main Outcomes and Measures Primary outcomes were the proportion of patients with a visit who (1) completed the risk assessment and (2) completed genetic testing. Logistic regression models were used to compare the POC and DPE approaches, allowing for overdispersion and including clinic as a design factor. An intention-to-treat analysis was used to evaluate primary outcomes. Results Over a 12-month window, 95 623 patients had a primary care visit across the 12 clinics. Those who completed the risk assessment (n = 13 705) were predominately female (64.7%) and aged between 65 and 84 years (39.6%). The POC approach resulted in a higher proportion of patients completing risk assessment than the DPE approach (19.1% vs 8.7%; adjusted odds ratio [AOR], 2.68; 95% CI, 1.72-4.17; P < .001) but a similar proportion completing testing (1.5% vs 1.6%; AOR, 0.96; 95% CI, 0.64-1.46; P = .86). Among those eligible for testing, POC test completion was approximately half of that for the DPE approach (24.7% vs 44.7%; AOR, 0.49; 95% CI, 0.37-0.64; P < .001). The proportion of tested patients identified with an actionable pathogenic variant was significantly lower for the POC approach than the DPE approach (3.8% vs 6.6%; AOR, 0.61; 95% CI, 0.44-0.85; P = .003). Conclusions and Relevance In this cluster randomized clinical trial of risk assessment delivery, POC engagement resulted in a higher rate of assessment of hereditary cancer risk than the DPE approach but a similar rate of genetic testing completion. Using a combination of engagement strategies may be the optimal approach for greater reach and impact. Trial Registration ClinicalTrials.gov Identifier: NCT04746794.
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Affiliation(s)
- Elizabeth M. Swisher
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Washington, Seattle
| | - Heather M. Harris
- Department of Bioethics and Humanities, School of Medicine, University of Washington, Seattle
| | - Sarah Knerr
- Department of Health Systems and Population Health, School of Public Health, University of Washington, Seattle
| | - Tesla N. Theoryn
- Institute for Public Health Genetics, School of Public Health, University of Washington, Seattle
- Department of Bioethics and Humanities, School of Medicine, University of Washington, Seattle
| | - Barbara M. Norquist
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Washington, Seattle
| | - Jeannine Brant
- Collaborative Science and Innovation, Billings Clinic, Billings, Montana
- Clinical Science & Innovation Department, City of Hope, Duarte, California
| | - Brian H. Shirts
- Institute for Public Health Genetics, School of Public Health, University of Washington, Seattle
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Washington, Seattle
| | - Faith Beers
- Department of Bioethics and Humanities, School of Medicine, University of Washington, Seattle
| | - DaLaina Cameron
- Department of Bioethics and Humanities, School of Medicine, University of Washington, Seattle
| | - Emerson J. Dusic
- Department of Bioethics and Humanities, School of Medicine, University of Washington, Seattle
- Institute for Public Health Genetics, School of Public Health, University of Washington, Seattle
| | - Laurie A. Riemann
- Collaborative Science and Innovation, Billings Clinic, Billings, Montana
| | - Beth Devine
- The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, University of Washington, Seattle
- Department of Pharmacy, School of Medicine, University of Washington, Seattle
| | - Michael L. Raff
- Medical Genetics, Mary Bridge Children’s, MultiCare Health System, Tacoma, Washington
| | - Rabindra Kadel
- Biostatistics and Epidemiology Data Analytics Center (BEDAC), Boston University School of Public Health, Boston, Massachusetts
| | - Howard J. Cabral
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Catharine Wang
- Department of Community Health Sciences, Boston University School of Public Health, Boston, Massachusetts
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Clapp MA, Ray A, Liang P, James KE, Ganguli I, Cohen JL. Postpartum Primary Care Engagement Using Default Scheduling and Tailored Messaging: A Randomized Clinical Trial. JAMA Netw Open 2024; 7:e2422500. [PMID: 39012630 PMCID: PMC11252898 DOI: 10.1001/jamanetworkopen.2024.22500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 05/02/2024] [Indexed: 07/17/2024] Open
Abstract
Importance More than 30% of pregnant people have at least 1 chronic medical condition, and nearly 20% develop gestational diabetes or pregnancy-related hypertension, increasing the risk of future chronic disease. While these individuals are often monitored closely during pregnancy, they face major barriers when transitioning to primary care following delivery, due in part to a lack of health care support for this transition. Objective To evaluate the impact of an intervention designed to improve postpartum primary care engagement by reducing patient administrative burden and information gaps. Design, Setting, and Participants An individual-level randomized clinical trial was conducted from November 3, 2022, to October 11, 2023, at 1 hospital-based and 5 community-based outpatient obstetric clinics affiliated with a large academic medical center. Participants included English- and Spanish-speaking pregnant or recently postpartum adults with obesity, anxiety, depression, diabetes, chronic hypertension, gestational diabetes, or pregnancy-related hypertension and a primary care practitioner (PCP) listed in their electronic health record. Intervention A behavioral economics-informed intervention bundle, including default scheduling of postpartum PCP appointments and tailored messages. Main Outcome and Measures Completion of a PCP visit for routine or chronic condition care within 4 months of delivery was the primary outcome, ascertained directly by reviewing the patient's electronic health record approximately 5 months after their estimated due date. Intention-to-treat analysis was conducted. Results A total of 360 patients were randomized (control, 176; intervention, 184). Individuals had a mean (SD) age of 34.1 (4.9) years and median gestational age of 36.3 (IQR, 34.0-38.6) weeks at enrollment. The distribution of self-reported race and ethnicity was 6.8% Asian, 7.4% Black, 68.6% White, and 15.0% multiple races or other. Most participants (75.4%) had anxiety or depression, 16.1% had a chronic or pregnancy-related hypertensive disorder, 19.5% had preexisting or gestational diabetes, and 40.8% had a prepregnancy body mass index of 30 or greater. Medicaid was the primary payer for 21.2% of patients. Primary care practitioner visit completion within 4 months occurred in 22.0% (95% CI, 6.4%-28.8%) of individuals in the control group and 40.0% (95% CI, 33.1%-47.4%) in the intervention group. In regression models accounting for randomization strata, the intervention increased PCP visit completion by 18.7 percentage points (95% CI, 9.1-28.2 percentage points). Intervention participants also had fewer postpartum readmissions (1.7% vs 5.8%) and increased receipt of the following services by a PCP: blood pressure screening (42.8% vs 28.3%), weight assessment (42.8% vs 27.7%), and depression screening (32.8% vs 16.8%). Conclusions and Relevance The findings of this randomized clinical trial suggest that the current lack of support for postpartum transitions to primary care is a missed opportunity to improve recently pregnant individual's short- and long-term health. Reducing patient administrative burdens may represent relatively low-resource, high-impact approaches to improving postpartum health and well-being. Trial Registration ClinicalTrials.gov Identifier: NCT05543265.
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Affiliation(s)
- Mark A. Clapp
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
| | - Alaka Ray
- Harvard Medical School, Boston, Massachusetts
- Department of Medicine, Massachusetts General Hospital, Boston
| | - Pichliya Liang
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston
| | - Kaitlyn E. James
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston
- Harvard Medical School, Boston, Massachusetts
| | - Ishani Ganguli
- Harvard Medical School, Boston, Massachusetts
- Department of Medicine, Brigham & Women’s Hospital, Boston, Massachusetts
| | - Jessica L. Cohen
- Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
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Mehta SJ, Rhodes C, Linn KA, Reitz C, McDonald C, Okorie E, Williams K, Resnick D, Arostegui A, McAuliffe T, Wollack C, Snider CK, Peifer MK, Weinstein SP. Behavioral Interventions to Improve Breast Cancer Screening Outreach: Two Randomized Clinical Trials. JAMA Intern Med 2024; 184:761-768. [PMID: 38709509 PMCID: PMC11074930 DOI: 10.1001/jamainternmed.2024.0495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 02/02/2024] [Indexed: 05/07/2024]
Abstract
Importance Despite public health efforts, breast cancer screening rates remain below national goals. Objective To evaluate whether bulk ordering, text messaging, and clinician endorsement increase breast cancer screening rates. Design, Setting, and Participants Two concurrent, pragmatic, randomized clinical trials, each with a 2-by-2 factorial design, were conducted between October 25, 2021, and April 25, 2022, in 2 primary care regions of an academic health system. The trials included women aged 40 to 74 years with at least 1 primary care visit in the past 2 years who were eligible for breast cancer screening. Interventions Patients in trial A were randomized in a 1:1 ratio to receive a signed bulk order for mammogram or no order; in a factorial design, patients were concurrently randomized in a 1:1 ratio to receive or not receive text message reminders. Patients in trial B were randomized in a 1:1 ratio to receive a message signed by their primary care clinician (clinician endorsement) or from the organization (standard messaging); in a factorial design, patients were concurrently randomized in a 1:1 ratio to receive or not receive text message reminders. Main Outcomes and Measures The primary outcome was the proportion of patients who completed a screening mammogram within 3 months. Results Among 24 632 patients included, the mean (SD) age was 60.4 (7.5) years. In trial A, at 3 months, 15.4% (95% CI, 14.6%-16.1%) of patients in the bulk order arm and 12.7% (95% CI, 12.1%-13.4%) in the no order arm completed a mammogram, showing a significant increase (absolute difference, 2.7%; 95% CI, 1.6%-3.6%; P < .001). In the text messaging comparison arms, 15.1% (95% CI, 14.3%-15.8%) of patients receiving a text message completed a mammogram compared with 13.0% (95% CI, 12.4%-13.7%) of those in the no text messaging arm, a significant increase (absolute difference of 2.1%; 95% CI, 1.0%-3.0%; P < .001). In trial B, at 3 months, 12.5% (95% CI, 11.3%-13.7%) of patients in the clinician endorsement arm completed a mammogram compared with 11.4% (95% CI, 10.3%-12.5%) of those in the standard messaging arm, which was not significant (absolute difference, 1.1%; 95% CI, -0.5% to 2.7%; P = .18). In the text messaging comparison arms, 13.2% (95% CI, 12.0%-14.4%) of patients receiving a text message completed a mammogram compared with 10.7% (95% CI, 9.7%-11.8%) of those in the no text messaging arm, a significant increase (absolute difference, 2.5%; 95% CI, 0.8%-4.0%; P = .003). Conclusions and Relevance These findings show that text messaging women after initial breast cancer screening outreach via either electronic portal or mailings, as well as bulk ordering with or without text messaging, can increase mammogram completion rates. Trial Registration ClinicalTrials.gov Identifier: NCT05089903.
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Affiliation(s)
- Shivan J. Mehta
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Center for Health Care Innovation, University of Pennsylvania, Philadelphia
| | - Corinne Rhodes
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Penn Medicine, University of Pennsylvania, Philadelphia
| | - Kristin A. Linn
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Catherine Reitz
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Center for Health Care Innovation, University of Pennsylvania, Philadelphia
| | - Caitlin McDonald
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Center for Health Care Innovation, University of Pennsylvania, Philadelphia
| | - Evelyn Okorie
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Center for Health Care Innovation, University of Pennsylvania, Philadelphia
| | - Keyirah Williams
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Center for Health Care Innovation, University of Pennsylvania, Philadelphia
| | - David Resnick
- Center for Health Care Innovation, University of Pennsylvania, Philadelphia
| | | | - Timothy McAuliffe
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Center for Health Care Innovation, University of Pennsylvania, Philadelphia
| | - Colin Wollack
- Penn Medicine, University of Pennsylvania, Philadelphia
| | | | - MaryAnne K. Peifer
- Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Penn Medicine, University of Pennsylvania, Philadelphia
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Clapp MA, Ray A, Liang P, James KE, Ganguli I, Cohen J. Increasing Postpartum Primary Care Engagement through Default Scheduling and Tailored Messaging : A Randomized Clinical Trial. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.21.24301585. [PMID: 38633772 PMCID: PMC11023680 DOI: 10.1101/2024.01.21.24301585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
Importance Over 30% of pregnant people have at least one chronic medical condition, and nearly 20% develop gestational diabetes or pregnancy-related hypertension, increasing the risk of future chronic disease. While these individuals are often monitored closely during pregnancy, they face significant barriers when transitioning to primary care following delivery, due in part to a lack of health care support for this transition. Objective To evaluate the impact of an intervention designed to improve postpartum primary care engagement by reducing patient administrative burden and information gaps. Design Individual-level randomized controlled trial conducted from November 3, 2022 to October 11, 2023. Setting One hospital-based and five community-based outpatient obstetric clinics affiliated with a large academic medical center. Participants Participants included English- and Spanish-speaking pregnant or recently postpartum adults with obesity, anxiety, depression, diabetes mellitus, chronic hypertension, gestational diabetes, or pregnancy-related hypertension, and a primary care practitioner (PCP) listed in their electronic health record (EHR). Intervention A behavioral economics-informed intervention bundle, including default scheduling of postpartum PCP appointments and tailored messages. Main Outcome Completion of a PCP visit for routine or chronic condition care within 4 months of delivery. Results 360 patients were randomized (Control: N=176, Intervention: N=184). Individuals had mean (SD) age 34.1 (4.9) years and median gestational age of 36.3 weeks (interquartile range (IQR) 34.0-38.6 weeks) at enrollment. The distribution of self-reported races was 7.4% Asian, 6.8% Black, 15.0% multiple races or "Other," and 68.6% White. Most (75.8%) participants had anxiety or depression, 15.9% had a chronic or pregnancy-related hypertensive disorder, 19.8% had pre-existing or gestational diabetes, and 40.4% had a pre-pregnancy BMI ≥30 kg/m2. Medicaid was the primary payer for 21.9% of patients. PCP visit completion within 4 months occurred in 22.0% in the control group and 40.0% in the intervention group. In regression models accounting for randomization strata, the intervention increased PCP visit completion by 18.7 percentage points (95%CI 10.7-29.1). Intervention participants also had fewer postpartum readmissions (1.7 vs. 5.8%) and increased receipt of the following services by a PCP: blood pressure screening (42.8 vs. 28.3%), weight assessment (42.8 vs. 27.7%), and depression screening (32.8 vs. 16.8%). Conclusions and Relevance In this randomized trial of pregnant individuals with or at risk for chronic health conditions, default PCP visit scheduling, tailored messages, and reminders substantially improved postpartum primary care engagement. The current lack of support for postpartum transitions to primary care is a missed opportunity to improve recently pregnant individual's short- and long-term health. Reducing patient administrative burdens may represent relatively low-resource, high-impact approaches to improving postpartum health and wellbeing. Trial Registration NCT05543265.
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Affiliation(s)
- Mark A Clapp
- Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Alaka Ray
- Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | | | - Kaitlyn E James
- Massachusetts General Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Ishani Ganguli
- Harvard Medical School, Boston, MA
- Brigham & Women's Hospital, Boston MA
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Marcotte LM, Nelson KM, Reddy A. Ethics and Terminology for Opting In and Out-In Reply. JAMA Intern Med 2024; 184:452-453. [PMID: 38372973 DOI: 10.1001/jamainternmed.2023.7063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Affiliation(s)
- Leah M Marcotte
- Division of General Internal Medicine, Department of Medicine, University of Washington, Seattle
| | - Karin M Nelson
- Division of General Internal Medicine, Department of Medicine, University of Washington, Seattle
- VA Puget Sound Health Care System, Seattle, Washington
- Center for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle, Washington
| | - Ashok Reddy
- Division of General Internal Medicine, Department of Medicine, University of Washington, Seattle
- VA Puget Sound Health Care System, Seattle, Washington
- Center for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, Seattle, Washington
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