1
|
Spees LP, Albaneze N, Baggett CD, Green L, Johnson K, Morris HN, Salas AI, Olshan A, Wheeler SB. Catchment area and cancer population health research through a novel population-based statewide database: a scoping review. JNCI Cancer Spectr 2024; 8:pkae066. [PMID: 39151445 PMCID: PMC11410196 DOI: 10.1093/jncics/pkae066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 07/05/2024] [Accepted: 07/29/2024] [Indexed: 08/19/2024] Open
Abstract
BACKGROUND Population-based linked datasets are vital to generate catchment area and population health research. The novel Cancer Information and Population Health Resource (CIPHR) links statewide cancer registry data, public and private insurance claims, and provider- and area-level data, representing more than 80% of North Carolina's large, diverse population of individuals diagnosed with cancer. This scoping review of articles that used CIPHR data characterizes the breadth of research generated and identifies further opportunities for population-based health research. METHODS Articles published between January 2012 and August 2023 were categorized by cancer site and outcomes examined across the care continuum. Statistically significant associations between patient-, provider-, system-, and policy-level factors and outcomes were summarized. RESULTS Among 51 articles, 42 reported results across 23 unique cancer sites and 13 aggregated across multiple sites. The most common outcomes examined were treatment initiation and/or adherence (n = 14), mortality or survival (n = 9), and health-care resource utilization (n = 9). Few articles focused on cancer recurrence (n = 1) or distance to care (n = 1) as outcomes. Many articles discussed racial, ethnic, geographic, and socioeconomic inequities in care. CONCLUSIONS These findings demonstrate the value of robust, longitudinal, linked, population-based databases to facilitate catchment area and population health research aimed at elucidating cancer risk factors, outcomes, care delivery trends, and inequities that warrant intervention and policy attention. Lessons learned from years of analytics using CIPHR highlight opportunities to explore less frequently studied cancers and outcomes, motivate equity-focused interventions, and inform development of similar resources.
Collapse
Affiliation(s)
- Lisa P Spees
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Natasha Albaneze
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Christopher D Baggett
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Laura Green
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Katie Johnson
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Hayley N Morris
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Ana I Salas
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
| | - Andrew Olshan
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Stephanie B Wheeler
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| |
Collapse
|
2
|
Dzimitrowicz HE, Wilson LE, Jackson BE, Spees LP, Baggett CD, Greiner MA, Kaye DR, Zhang T, George D, Scales CD, Pritchard JE, Leapman MS, Gross CP, Dinan MA, Wheeler SB. End-of-Life Care for Patients With Metastatic Renal Cell Carcinoma in the Era of Oral Anticancer Therapy. JCO Oncol Pract 2023; 19:e213-e227. [PMID: 36413741 PMCID: PMC9970274 DOI: 10.1200/op.22.00401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 08/31/2022] [Accepted: 10/06/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE New therapies including oral anticancer agents (OAAs) have improved outcomes for patients with metastatic renal cell carcinoma (mRCC). However, little is known about the quality of end-of-life (EOL) care and systemic therapy use at EOL in patients receiving OAAs or with mRCC. METHODS We retrospectively analyzed EOL care for decedents with mRCC in two parallel cohorts: (1) patients (RCC diagnosed 2004-2015) from the University of North Carolina's Cancer Information and Population Health Resource (CIPHR) and (2) patients (diagnosed 2007-2015) from SEER-Medicare. We assessed hospice use in the last 30 days of life and existing measures of poor-quality EOL care: systemic therapy, hospital admission, intensive care unit admission, and > 1 ED visit in the last 30 days of life; hospice initiation in the last 3 days of life; and in-hospital death. Associations between OAA use, patient and provider characteristics, and EOL care were examined using multivariable logistic regression. RESULTS We identified 410 decedents in the CIPHR cohort (53.4% received OAA) and 1,508 in SEER-Medicare (43.5% received OAA). Prior OAA use was associated with increased systemic therapy in the last 30 days of life in both cohorts (CIPHR: 26.5% v 11.0%; P < .001; SEER-Medicare: 23.4% v 11.7%; P < .001), increased in-hospital death in CIPHR, and increased hospice in the last 30 days in SEER-Medicare. Older patients were less likely to receive systemic therapy or be admitted in the last 30 days or die in hospital. CONCLUSION Patients with mRCC who received OAAs and younger patients experienced more aggressive EOL care, suggesting opportunities to optimize high-quality EOL care in these groups.
Collapse
Affiliation(s)
| | - Lauren E. Wilson
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | | | - Lisa P. Spees
- Lineberger Comprehensive Cancer Center, UNC-CH, Chapel Hill, NC
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill (UNC-CH), Chapel Hill, NC
| | - Christopher D. Baggett
- Lineberger Comprehensive Cancer Center, UNC-CH, Chapel Hill, NC
- Department of Epidemiology, Gillings School of Global Public Health, UNC-CH, Chapel Hill, NC
| | - Melissa A. Greiner
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | - Deborah R. Kaye
- Department of Surgery (Urology), Duke University School of Medicine, Durham, NC
- Duke Cancer Institute Center for Prostate and Urologic Cancers, Durham, NC
| | - Tian Zhang
- Division of Hematology and Oncology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX
- Division of Medical Oncology, Department of Medicine, Duke University, Durham, NC
| | - Daniel George
- Department of Medicine, Duke University School of Medicine, Durham, NC
- Duke Cancer Institute Center for Prostate and Urologic Cancers, Durham, NC
| | - Charles D. Scales
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
- Department of Surgery (Urology), Duke University School of Medicine, Durham, NC
| | - Jessica E. Pritchard
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC
| | - Michael S. Leapman
- Department of Urology, Yale School of Medicine, New Haven, CT
- Yale Cancer Outcomes, Public Policy, and Effectiveness Research Center, New Haven, CT
| | - Cary P. Gross
- Yale Cancer Outcomes, Public Policy, and Effectiveness Research Center, New Haven, CT
- Department of Medicine, Yale School of Medicine, New Haven, CT
| | - Michaela A. Dinan
- Department of Medicine, Yale School of Medicine, New Haven, CT
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT
| | - Stephanie B. Wheeler
- Lineberger Comprehensive Cancer Center, UNC-CH, Chapel Hill, NC
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill (UNC-CH), Chapel Hill, NC
| |
Collapse
|
3
|
Spees LP, Wheeler SB, Jackson BE, Baggett CD, Wilson LE, Greiner MA, Kaye DR, Zhang T, George D, Scales CD, Pritchard JE, Leapman M, Gross CP, Dinan MA. Provider- and patient-level predictors of oral anticancer agent initiation and adherence in patients with metastatic renal cell carcinoma. Cancer Med 2021; 10:6653-6665. [PMID: 34480518 PMCID: PMC8495289 DOI: 10.1002/cam4.4201] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 07/28/2021] [Accepted: 07/29/2021] [Indexed: 01/25/2023] Open
Abstract
Background Improving oral anticancer agent (OAA) initiation and adherence is the important quality‐of‐care issues, particularly since one fourth of anticancer agents being developed will be administered orally. Our objective was to identify provider‐ and patient‐level characteristics associated with OAA initiation and adherence among individuals with metastatic renal cell carcinoma (mRCC). Methods We used state cancer registry data linked to multi‐payer claims data to identify patients with mRCC diagnosed in 2004–2015. Provider data were obtained from North Carolina Health Professions Data System and the National Plan & Provider Enumeration System. We estimated risk ratios (RRs) and corresponding 95% confidence limits (CLs) using modified Poisson regression to evaluate factors associated with OAA initiation and adherence. Results Among the 207 (out of 687) patients who initiated an OAA following mRCC diagnosis and survived 90 days, median proportion of days covered was 0.91. Patients with a modal provider specializing in hematology/medical oncology were much more likely to initiate OAAs than those seen by other specialties. Additionally, patients with a female provider were more likely to initiate OAAs than those with a male provider. Compared to patients treated by providers practicing in both urban and rural areas, patients with providers practicing solely in urban areas were more likely to initiate OAAs, after controlling for patient‐level factors (RR = 1.37; 95% CL: 1.09–1.73). Medicare patients were less likely to be adherent than those with private insurance (RR = 0.61; 95% CL: 0.42–0.87). Conclusions Our results suggest that provider‐ and patient‐level factors influence OAA initiation in patients with mRCC but only insurance type was associated with adherence.
Collapse
Affiliation(s)
- Lisa P Spees
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill (UNC-CH), Chapel Hill, North Carolina, USA.,Lineberger Comprehensive Cancer Center (LCCC), UNC-CH, Chapel Hill, North Carolina, USA
| | - Stephanie B Wheeler
- Department of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill (UNC-CH), Chapel Hill, North Carolina, USA.,Lineberger Comprehensive Cancer Center (LCCC), UNC-CH, Chapel Hill, North Carolina, USA
| | - Bradford E Jackson
- Lineberger Comprehensive Cancer Center (LCCC), UNC-CH, Chapel Hill, North Carolina, USA
| | - Christopher D Baggett
- Lineberger Comprehensive Cancer Center (LCCC), UNC-CH, Chapel Hill, North Carolina, USA.,Department of Epidemiology, Gillings School of Global Public Health, UNC-CH, Chapel Hill, North Carolina, USA
| | - Lauren E Wilson
- Department of Population Health Sciences, Duke University School of Medicine (DUSM), Durham, North Carolina, USA
| | - Melissa A Greiner
- Department of Population Health Sciences, Duke University School of Medicine (DUSM), Durham, North Carolina, USA
| | - Deborah R Kaye
- Duke Cancer Institute (DCI) Center for Prostate and Urologic Cancers, Durham, North Carolina, USA.,Department of Medicine, DUSM, Durham, North Carolina, USA
| | - Tian Zhang
- Duke Cancer Institute (DCI) Center for Prostate and Urologic Cancers, Durham, North Carolina, USA.,Department of Medicine, DUSM, Durham, North Carolina, USA.,Department of Surgery (Urology), DUSM, Durham, North Carolina, USA
| | - Daniel George
- Duke Cancer Institute (DCI) Center for Prostate and Urologic Cancers, Durham, North Carolina, USA.,Department of Medicine, DUSM, Durham, North Carolina, USA
| | - Charles D Scales
- Department of Population Health Sciences, Duke University School of Medicine (DUSM), Durham, North Carolina, USA.,Department of Surgery (Urology), DUSM, Durham, North Carolina, USA
| | - Jessica E Pritchard
- Department of Population Health Sciences, Duke University School of Medicine (DUSM), Durham, North Carolina, USA
| | - Michael Leapman
- Department of Urology, Yale School of Medicine, New Haven, Connecticut, USA.,Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale School of Medicine, New Haven, Connecticut, USA
| | - Cary P Gross
- Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale School of Medicine, New Haven, Connecticut, USA.,Department of Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Michaela A Dinan
- Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale School of Medicine, New Haven, Connecticut, USA.,Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA
| |
Collapse
|