» Articles » PMID: 28376462

Regional Variation in Primary Care Involvement at the End of Life

Overview
Journal Ann Fam Med
Specialty Public Health
Date 2017 Apr 5
PMID 28376462
Citations 7
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: Variation in end-of-life care in the United States is frequently driven by the health care system. We assessed the association of primary care physician involvement at the end of life with end-of-life care patterns.

Methods: We analyzed 2010 Medicare Part B claims data for US hospital referral regions (HRRs). The independent variable was the ratio of primary care physicians to specialist visits in the last 6 months of life. Dependent variables included the rate of hospital deaths, hospital and intensive care use in the last 6 months of life, percentage of patients seen by more than 10 physicians, and Medicare spending in the last 2 years of life. Robust linear regression analysis was used to measure the association of primary care physician involvement at the end of life with the outcome variables, adjusting for regional characteristics.

Results: We assessed 306 HRRs, capturing 1,107,702 Medicare Part B beneficiaries with chronic disease who died. The interquartile range of the HRR ratio of primary care to specialist end-of-life visits was 0.77 to 1.21. HRRs with high vs low primary care physician involvement at the end of life had significantly different patient, population, and health system characteristics. Adjusting for these differences, HRRs with the greatest primary care physician involvement had lower Medicare spending in the last 2 years of life ($65,160 vs $69,030; = .003) and fewer intensive care unit days in the last 6 months of life (2.90 vs 4.29; <.001), but also less hospice enrollment (44.5% of decedents vs 50.4%; = .004).

Conclusions: Regions with greater primary care physician involvement in end-of-life care have overall less intensive end-of-life care.

Citing Articles

Impact of Cardiopulmonary Resuscitation on Emergency Medical Staff-Romanian Perspective (IRESUS-EMS).

Nedelea P, Corlade-Andrei M, Kantor C, Popa O, Manolescu E, Cimpoesu D J Clin Med. 2022; 11(19).

PMID: 36233575 PMC: 9572908. DOI: 10.3390/jcm11195707.


Impact of Concurrent Hospice Care on Primary Care Visits Among Children in Rural Southern Appalachia.

Fornehed M, Svynarenko R, Lindley L J Pediatr Health Care. 2022; 36(5):438-442.

PMID: 35654707 PMC: 9398974. DOI: 10.1016/j.pedhc.2022.05.005.


Frequency of providing a palliative approach to care in family practice: a chart review and perceptions of healthcare practitioners in Canada.

Gallagher E, Carter-Ramirez D, Boese K, Winemaker S, MacLennan A, Hansen N BMC Fam Pract. 2021; 22(1):58.

PMID: 33773579 PMC: 8005234. DOI: 10.1186/s12875-021-01400-4.


Engaging Primary Care Physicians to Refer Patients to Home-Based Palliative Is Challenging and Complicated.

Coulourides Kogan A, Sadamitsu K, Gaddini M, Kersten M, Ellinwood J, Fields T Palliat Med Rep. 2020; 1(1):259-263.

PMID: 33274341 PMC: 7703491. DOI: 10.1089/pmr.2020.0009.


Health-services utilisation amongst older persons during the last year of life: a population-based study.

Ni Chroinin D, Goldsbury D, Beveridge A, Davidson P, Girgis A, Ingham N BMC Geriatr. 2018; 18(1):317.

PMID: 30572832 PMC: 6302397. DOI: 10.1186/s12877-018-1006-x.


References
1.
Back A, Young J, McCown E, Engelberg R, Vig E, Reinke L . Abandonment at the end of life from patient, caregiver, nurse, and physician perspectives: loss of continuity and lack of closure. Arch Intern Med. 2009; 169(5):474-9. PMC: 2918275. DOI: 10.1001/archinternmed.2008.583. View

2.
Thompson J, Carlson M, Bradley E . US hospice industry experienced considerable turbulence from changes in ownership, growth, and shift to for-profit status. Health Aff (Millwood). 2012; 31(6):1286-93. PMC: 3866916. DOI: 10.1377/hlthaff.2011.1247. View

3.
Bazemore A, Petterson S, Peterson L, Phillips Jr R . More Comprehensive Care Among Family Physicians is Associated with Lower Costs and Fewer Hospitalizations. Ann Fam Med. 2015; 13(3):206-13. PMC: 4427414. DOI: 10.1370/afm.1787. View

4.
Wennberg D, Sharp S, Bevan G, Skinner J, Gottlieb D, Wennberg J . A population health approach to reducing observational intensity bias in health risk adjustment: cross sectional analysis of insurance claims. BMJ. 2014; 348:g2392. PMC: 3982718. DOI: 10.1136/bmj.g2392. View

5.
Dobie S, Saver B, Wang C, Green P, Baldwin L . Do primary care physicians lose contact with their colorectal cancer patients?. J Am Board Fam Med. 2011; 24(6):704-9. PMC: 3918900. DOI: 10.3122/jabfm.2011.06.100192. View