Literature DB >> 21609331

Medical spending and the health of the elderly.

Jack Hadley1, Timothy Waidmann, Stephen Zuckerman, Robert A Berenson.   

Abstract

OBJECTIVE: To estimate the relationship between variations in medical spending and health outcomes of the elderly. DATA SOURCES: 1992-2002 Medicare Current Beneficiary Surveys. STUDY
DESIGN: We used instrumental variable (IV) estimation to identify the relationships between alternative measures of elderly Medicare beneficiaries' medical spending over a 3-year observation period and health status, measured by the Health and Activity Limitation Index (HALex) and survival status at the end of the 3 years. We used the Dartmouth Atlas End-of-Life Expenditure Index defined for hospital referral regions in 1996 as the exogenous identifying variable to construct the IVs for medical spending. DATA COLLECTION/EXTRACTION
METHODS: The analysis sample includes 17,438 elderly (age >64) beneficiaries who entered the Medicare Current Beneficiary Survey in the fall of each year from 1991 to 1999, were not institutionalized at baseline, stayed in fee-for-service Medicare for the entire observation period, and survived for at least 2 years. Measures of baseline health were constructed from information obtained in the fall of the year the person entered the survey, and changes in health were from subsequent interviews over the entire observation period. Medicare and total medical spending were constructed from Medicare claims and self-reports of other spending over the entire observation period. PRINCIPAL
FINDINGS: IV estimation results in a positive and statistically significant relationship between medical spending and better health: 10 percent greater medical spending over the prior 3 years (mean=U.S.$2,709) is associated with a 1.9 percent larger HALex value (p=.045; range 1.2-2.2 percent depending on medical spending measure) and a 1.5 percent greater survival probability (p=.039; range 1.2-1.7 percent).
CONCLUSIONS: On average, greater medical spending is associated with better health status of Medicare beneficiaries, implying that across-the-board reductions in Medicare spending may result in poorer health for some beneficiaries. © Health Research and Educational Trust.

Entities:  

Mesh:

Year:  2011        PMID: 21609331      PMCID: PMC3207181          DOI: 10.1111/j.1475-6773.2011.01276.x

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  22 in total

1.  Resurrecting treatment histories of dead patients: a study design that should be laid to rest.

Authors:  Peter B Bach; Deborah Schrag; Colin B Begg
Journal:  JAMA       Date:  2004-12-08       Impact factor: 56.272

2.  Does health care spending improve health outcomes? Evidence from English programme budgeting data.

Authors:  Stephen Martin; Nigel Rice; Peter C Smith
Journal:  J Health Econ       Date:  2007-12-25       Impact factor: 3.883

3.  A trillion-dollar geography lesson.

Authors:  Katherine Baicker; Amitabh Chandra
Journal:  Health Aff (Millwood)       Date:  2009 Sep-Oct       Impact factor: 6.301

Review 4.  Econometrics in outcomes research: the use of instrumental variables.

Authors:  J P Newhouse; M McClellan
Journal:  Annu Rev Public Health       Date:  1998       Impact factor: 21.981

5.  Evidence on the efficacy of inpatient spending on Medicare patients.

Authors:  Robert Kaestner; Jeffrey H Silber
Journal:  Milbank Q       Date:  2010-12       Impact factor: 4.911

6.  Reducing the growth of Medicare spending: geographic versus patient-based strategies.

Authors:  Steven M Lieberman; Julie Lee; Todd Anderson; Dan L Crippen
Journal:  Health Aff (Millwood)       Date:  2003 Jul-Dec       Impact factor: 6.301

7.  The implications of regional variations in Medicare spending. Part 1: the content, quality, and accessibility of care.

Authors:  Elliott S Fisher; David E Wennberg; Thérèse A Stukel; Daniel J Gottlieb; F L Lucas; Etoile L Pinder
Journal:  Ann Intern Med       Date:  2003-02-18       Impact factor: 25.391

8.  The implications of regional variations in Medicare spending. Part 2: health outcomes and satisfaction with care.

Authors:  Elliott S Fisher; David E Wennberg; Thérèse A Stukel; Daniel J Gottlieb; F L Lucas; Etoile L Pinder
Journal:  Ann Intern Med       Date:  2003-02-18       Impact factor: 25.391

9.  A map to bad policy--hospital efficiency measures in the Dartmouth Atlas.

Authors:  Peter B Bach
Journal:  N Engl J Med       Date:  2010-02-18       Impact factor: 91.245

10.  DOES MEDICARE SAVE LIVES?

Authors:  David Card; Carlos Dobkin; Nicole Maestas
Journal:  Q J Econ       Date:  2009
View more
  10 in total

1.  Medicare spending, mortality rates, and quality of care.

Authors:  Jack Hadley; James D Reschovsky
Journal:  Int J Health Care Finance Econ       Date:  2012-03-08

Review 2.  The association between health care quality and cost: a systematic review.

Authors:  Peter S Hussey; Samuel Wertheimer; Ateev Mehrotra
Journal:  Ann Intern Med       Date:  2013-01-01       Impact factor: 25.391

3.  Assessing the ability of an instrumental variable causal forest algorithm to personalize treatment evidence using observational data: the case of early surgery for shoulder fracture.

Authors:  John M Brooks; Cole G Chapman; Sarah B Floyd; Brian K Chen; Charles A Thigpen; Michael Kissenberth
Journal:  BMC Med Res Methodol       Date:  2022-07-11       Impact factor: 4.612

4.  Factors related to initial treatment for adhesive capsulitis in the medicare population.

Authors:  Sarah B Floyd; Sara M Sarasua; Stephan G Pill; Ellen Shanley; John M Brooks
Journal:  BMC Geriatr       Date:  2022-06-30       Impact factor: 4.070

5.  Estimation of standardized hospital costs from Medicare claims that reflect resource requirements for care: impact for cohort studies linked to Medicare claims.

Authors:  John T Schousboe; Misti L Paudel; Brent C Taylor; Lih-Wen Mau; Beth A Virnig; Kristine E Ensrud; Bryan E Dowd
Journal:  Health Serv Res       Date:  2014-01-24       Impact factor: 3.402

6.  Association Between Time to Rehabilitation and Outcomes After Traumatic Spinal Cord Injury.

Authors:  Kurt R Herzer; Yuying Chen; Allen W Heinemann; Marlis González-Fernández
Journal:  Arch Phys Med Rehabil       Date:  2016-06-05       Impact factor: 3.966

7.  The effect of direct cognitive assessment in the Medicare annual wellness visit on dementia diagnosis rates.

Authors:  Kimberly E Lind; Kerry Hildreth; Richard Lindrooth; Elaine Morrato; Lori A Crane; Marcelo Coca Perraillon
Journal:  Health Serv Res       Date:  2021-01-22       Impact factor: 3.402

8.  Treatment for Rotator Cuff Tear Is Influenced by Demographics and Characteristics of the Area Where Patients Live.

Authors:  Cole G Chapman; Sarah Bauer Floyd; Charles A Thigpen; John M Tokish; Brian Chen; John M Brooks
Journal:  JB JS Open Access       Date:  2018-08-07

9.  Stratification in health and survival after age 100: evidence from Danish centenarians.

Authors:  Jesús-Adrián Alvarez; Anthony Medford; Cosmo Strozza; Mikael Thinggaard; Kaare Christensen
Journal:  BMC Geriatr       Date:  2021-07-01       Impact factor: 3.921

10.  A Systematic Review of the Association Between Hospital Cost/price and the Quality of Care.

Authors:  Sara Jamalabadi; Vera Winter; Jonas Schreyögg
Journal:  Appl Health Econ Health Policy       Date:  2020-10       Impact factor: 3.686

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.