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Erschienen in: Journal of General Internal Medicine 3/2019

02.01.2019 | Original Research

A Retrospective Study of Administrative Data to Identify High-Need Medicare Beneficiaries at Risk of Dying and Being Hospitalized

verfasst von: Emmanuelle Bélanger, PhD, Benjamin Silver, PhD, David J. Meyers, MPH, Momotazur Rahman, PhD, Amit Kumar, PhD, Cyrus Kosar, MA, Vincent Mor, PhD

Erschienen in: Journal of General Internal Medicine | Ausgabe 3/2019

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Abstract

Background

Developing a definition of what constitutes high need among Medicare beneficiaries using administrative data is an important prerequisite to evaluating value-based payment reforms. While various definitions of high need exist, their predictive validity for different patient outcomes in the following year has not been systematically assessed for both fee-for-service (FFS) and Medicare Advantage (MA) beneficiaries.

Objective

To develop a definition of high need using administrative data in 2014 and to examine its predictive validity for patient outcomes in 2015 as compared to alternative definitions for both FFS and MA beneficiaries.

Design

Retrospective cohort study of national Medicare claims and post-acute assessment data.

Participants

All Medicare beneficiaries in 2014 who survived until the end of the year (n = 54,717,039).

Main Measures

Two or more complex conditions, 6 or more chronic conditions, acute or post-acute health services utilization, indicators of frailty, complete dependency in mobility or in any activities of daily living in post-acute care assessments, hospitalization, mortality, days in community, Medicare expenditures.

Key Results

Based on our definition of high-need patients, 13.17% of FFS and 8.85% of MA beneficiaries were identified as high need in 2014. High-need FFS patients had mortality rates 7.1 times higher (16.23% vs. 2.27%) and hospitalization rates 3.4 times higher (40.69 vs. 12.03) in 2015 compared to other beneficiaries. Competing high-need definitions all had good specificity (≥ 0.88). Having 3 or more Hierarchical Chronic Conditions yielded a good positive predictive value for hospitalization, at 0.50, but only identified 19.71% of FFS beneficiaries hospitalized and 28.46% of FFS decedents that year as high need, as opposed to 33.92% and 51.98% for the new definition. Results were similar for MA beneficiaries.

Conclusions

The proposed high-need definition has better sensitivity and yields a sample of almost 5 million FFS and 1.5 million MA beneficiaries, facilitating outcome performance comparisons across health systems.
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Literatur
3.
Zurück zum Zitat Anderson GF, Ballreich J, Bleich S, Boyd C, DuGoff E, Leff B, Salzburg C, Wolff J. Attributes common to programs that successfully treat high-need, high-cost individuals. Am J Manage Care. 2015;21(11):e597–600. Anderson GF, Ballreich J, Bleich S, Boyd C, DuGoff E, Leff B, Salzburg C, Wolff J. Attributes common to programs that successfully treat high-need, high-cost individuals. Am J Manage Care. 2015;21(11):e597–600.
4.
Zurück zum Zitat Blumenthal D, Chernof B, Fulmer T, Lumpkin J, Selberg J. Caring for high-need, high-cost patients - an urgent priority. N Engl J Med. 2016;375(10):909–11.CrossRef Blumenthal D, Chernof B, Fulmer T, Lumpkin J, Selberg J. Caring for high-need, high-cost patients - an urgent priority. N Engl J Med. 2016;375(10):909–11.CrossRef
6.
Zurück zum Zitat Joynt KE, Figueroa JF, Beaulieu N, Wild RC, Orav EJ, Jha AK. Segmenting high-cost Medicare patients into potentially actionable cohorts. Healthc. 2017;5(1–2):62–7.CrossRef Joynt KE, Figueroa JF, Beaulieu N, Wild RC, Orav EJ, Jha AK. Segmenting high-cost Medicare patients into potentially actionable cohorts. Healthc. 2017;5(1–2):62–7.CrossRef
8.
Zurück zum Zitat Colla CH, Lewis VA, Kao L-S, O'Malley AJ, Chang C-H, Fisher ES. Association between Medicare Accountable Care Organization implementation and spending among clinically vulnerable beneficiaries. JAMA Intern Med. 2016;176(8):1167–75. Accessed 15 October 2017.CrossRef Colla CH, Lewis VA, Kao L-S, O'Malley AJ, Chang C-H, Fisher ES. Association between Medicare Accountable Care Organization implementation and spending among clinically vulnerable beneficiaries. JAMA Intern Med. 2016;176(8):1167–75. Accessed 15 October 2017.CrossRef
13.
Zurück zum Zitat Figueroa JF, Joynt Maddox KE, Beaulieu N, Wild RC, Jha AK. Concentration of potentially preventable spending among high-cost Medicare subpopulations: an observational study. Ann Intern Med. 2017;167(10):706–13.CrossRef Figueroa JF, Joynt Maddox KE, Beaulieu N, Wild RC, Jha AK. Concentration of potentially preventable spending among high-cost Medicare subpopulations: an observational study. Ann Intern Med. 2017;167(10):706–13.CrossRef
14.
Zurück zum Zitat Beaulieu ND, Joynt KE, Wild R, Jha AK. Concentration of high-cost patients in hospitals and markets. Am J Manag Care. 2017;23(4):233–8.PubMed Beaulieu ND, Joynt KE, Wild R, Jha AK. Concentration of high-cost patients in hospitals and markets. Am J Manag Care. 2017;23(4):233–8.PubMed
15.
Zurück zum Zitat Kumar A, Karmarkar AM, Graham JE, Resnik L, Tan A, Deutsch A, et al. Comorbidity indices versus function as potential predictors of 30-day readmission in older patients following postacute rehabilitation. J Gerontol A Biol Sci Med Sci. 2017;72(2):223–8. Kumar A, Karmarkar AM, Graham JE, Resnik L, Tan A, Deutsch A, et al. Comorbidity indices versus function as potential predictors of 30-day readmission in older patients following postacute rehabilitation. J Gerontol A Biol Sci Med Sci. 2017;72(2):223–8.
16.
Zurück zum Zitat Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998;36(1):8–27.CrossRef Elixhauser A, Steiner C, Harris DR, Coffey RM. Comorbidity measures for use with administrative data. Med Care. 1998;36(1):8–27.CrossRef
17.
Zurück zum Zitat Charlson ME, Charlson RE, Peterson JC, Marinopoulos SS, Briggs WM, Hollenberg JP. The Charlson comorbidity index is adapted to predict costs of chronic disease in primary care patients. J Clin Epidemiol. 2008;61(12):1234–40.CrossRef Charlson ME, Charlson RE, Peterson JC, Marinopoulos SS, Briggs WM, Hollenberg JP. The Charlson comorbidity index is adapted to predict costs of chronic disease in primary care patients. J Clin Epidemiol. 2008;61(12):1234–40.CrossRef
18.
Zurück zum Zitat Sharabiani MTA, Aylin P, Bottle A. Systematic review of comorbidity indices for administrative data. Med Care. 2012;50(12):1109–18.CrossRef Sharabiani MTA, Aylin P, Bottle A. Systematic review of comorbidity indices for administrative data. Med Care. 2012;50(12):1109–18.CrossRef
19.
Zurück zum Zitat Huckfeldt PJ, Escarce JJ, Rabideau B, Karaca-Mandic P, Sood N. Less intense postacute care, better outcomes for enrollees in Medicare Advantage than those in Fee-For-Service. Health Aff (Millwood). 2017;36(1):91–100.CrossRef Huckfeldt PJ, Escarce JJ, Rabideau B, Karaca-Mandic P, Sood N. Less intense postacute care, better outcomes for enrollees in Medicare Advantage than those in Fee-For-Service. Health Aff (Millwood). 2017;36(1):91–100.CrossRef
20.
Zurück zum Zitat McWilliams JM, Schwartz AL. Focusing on high-cost patients — the key to addressing high costs? N Engl J Med. 2017;376(9):807.CrossRef McWilliams JM, Schwartz AL. Focusing on high-cost patients — the key to addressing high costs? N Engl J Med. 2017;376(9):807.CrossRef
Metadaten
Titel
A Retrospective Study of Administrative Data to Identify High-Need Medicare Beneficiaries at Risk of Dying and Being Hospitalized
verfasst von
Emmanuelle Bélanger, PhD
Benjamin Silver, PhD
David J. Meyers, MPH
Momotazur Rahman, PhD
Amit Kumar, PhD
Cyrus Kosar, MA
Vincent Mor, PhD
Publikationsdatum
02.01.2019
Verlag
Springer International Publishing
Erschienen in
Journal of General Internal Medicine / Ausgabe 3/2019
Print ISSN: 0884-8734
Elektronische ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-018-4781-3

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