It’s who you know: patient-sharing, quality, and costs of cancer survivorship care

PurposeCancer survivors frequently receive care from a large number of physicians, creating challenges for coordination. We sought to explore whether cancer survivors whose providers have more patients in common (e.g., shared patients) tend to have higher quality and lower cost care.MethodsWe performed a retrospective cohort study of 8,661 patients diagnosed with loco-regional breast, prostate, or colorectal cancer. We examined survivorship care from days 366 to 1,095 following their cancer diagnosis. Our primary independent variable was “care density,” a novel metric of the extent to which a patient’s providers share patients with one another. Our outcome measures were health care utilization, quality metrics, and costs.ResultsIn adjusted analyses, we found that patients with high care density—indicating high levels of patient-sharing among their providers—had significantly lower rates of hospitalization (OR 0.87, 95 % CI 0.75–1.00) and higher odds of an eye examination for diabetes (OR 1.31, 95 % CI 1.03–1.66) compared to patients with low care density. High care density was not associated with emergency department visits, avoidable outcomes, lipid profile following an angina diagnosis, or odds of glycosylated hemoglobin testing for diabetes. Patients with high care density had significantly lower total costs of care over 24 months (beta coefficient −$2,116, 95 % CI −$3,107 to −$1,125) along with lower inpatient and outpatient costs.ConclusionCancer survivors treated by physicians who share more patients with one another tend to have some higher aspects of quality and lower cost care.Implications of cancer survivorsIf validated, care density may be a useful indicator for monitoring care coordination among cancer survivors and potentially targeting interventions that seek to improve care delivery.

[1]  Cancer survivors--United States, 2007. , 2011, MMWR. Morbidity and mortality weekly report.

[2]  Douglas K Owens,et al.  Closing the Quality Gap: A Critical Analysis of Quality Improvement Strategies (Vol. 2: Diabetes Care) , 2004 .

[3]  C. Earle,et al.  Preventive care in prostate cancer patients: following diagnosis and for five-year survivors , 2011, Journal of cancer survivorship : research and practice.

[4]  M. Rosenthal,et al.  Beyond pay for performance--emerging models of provider-payment reform. , 2008, The New England journal of medicine.

[5]  J L Warren,et al.  Development of a comorbidity index using physician claims data. , 2000, Journal of clinical epidemiology.

[6]  B. Starfield,et al.  Contribution of primary care to health systems and health. , 2005, The Milbank quarterly.

[7]  Gwyn McClelland Survivors , 1891, The Hospital.

[8]  A. Jemal,et al.  Cancer statistics, 2013 , 2013, CA: a cancer journal for clinicians.

[9]  Hoangmai H Pham,et al.  Care patterns in Medicare and their implications for pay for performance. , 2007, The New England journal of medicine.

[10]  C. Earle,et al.  Comparing Care for Breast Cancer Survivors to Non-Cancer Controls: A Five-Year Longitudinal Study , 2009, Journal of General Internal Medicine.

[11]  J. Ross,et al.  A Measure of Care Coordination? , 2013, Journal of general internal medicine.

[12]  C. Earle,et al.  Prevention, screening, and surveillance care for breast cancer survivors compared with controls: changes from 1998 to 2002. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[13]  Stephen M Shortell,et al.  Primary care and accountable care--two essential elements of delivery-system reform. , 2009, The New England journal of medicine.

[14]  T. Bodenheimer Coordinating care--a perilous journey through the health care system. , 2008, The New England journal of medicine.

[15]  C. Earle,et al.  Trends in Follow-up and Preventive Care for Colorectal Cancer Survivors , 2008, Journal of General Internal Medicine.

[16]  C. Mackenzie,et al.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. , 1987, Journal of chronic diseases.

[17]  C. Earle,et al.  Under use of necessary care among cancer survivors , 2004, Cancer.

[18]  R. Kravitz,et al.  Measuring underuse of necessary care among elderly Medicare beneficiaries using inpatient and outpatient claims. , 2000, JAMA.

[19]  C. Earle,et al.  Preventive care for colorectal cancer survivors: a 5-year longitudinal study. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[20]  C. Earle,et al.  Quality of care for comorbid conditions during the transition to survivorship: differences between cancer survivors and noncancer controls. , 2013, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[21]  R. Deyo,et al.  ADAPTING A CLINICAL COMORBIDITY USE WITH ICD-g-CM ADMINISTRATIVE INDEX FOR DATABASES , 1992 .

[22]  Michael Lawrence Barnett,et al.  Predicting Physician Relationships with Self-Reported and Administrative Data , 2011 .

[23]  J. Lin,et al.  Prevention, Screening, and Surveillance Care for Breast Cancer Survivors Compared With Controls: Changes from 1998 to 2002 , 2010 .

[24]  J. Perlmutter,et al.  From Cancer Patient to Cancer Survivor: Lost in Translation , 2006 .

[25]  J. Skinner,et al.  Fostering accountable health care: moving forward in medicare. , 2009, Health affairs.

[26]  R. Deyo,et al.  Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. , 1992, Journal of clinical epidemiology.

[27]  A James O'Malley,et al.  Mapping physician networks with self-reported and administrative data. , 2011, Health services research.

[28]  H. Miller,et al.  From volume to value: better ways to pay for health care. , 2009, Health affairs.

[29]  C. Eheman,et al.  Care of long‐term cancer survivors , 2009, Cancer.

[30]  E. Winer,et al.  Quality of non-breast cancer health maintenance among elderly breast cancer survivors. , 2003, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[31]  Jonathan P. Weiner,et al.  Patient Sharing Among Physicians and Costs of Care: A Network Analytic Approach to Care Coordination Using Claims Data , 2013, Journal of General Internal Medicine.