Literature DB >> 10358679

Health care coverage and use of preventive services among the near elderly in the United States.

E Powell-Griner1, J Bolen, S Bland.   

Abstract

OBJECTIVES: It has been proposed that individuals aged 55 to 64 years be allowed to buy into Medicare. This group is more likely than younger adults to have marginal health status, to be separating from the workforce, to face high premiums, and to risk financial hardship from major medical illness. The present study examined prevalence of health insurance coverage by demographic characteristics and examined how lack of insurance may affect use of preventive health services.
METHODS: Data were obtained from the Behavioral Risk Factor Surveillance System, an ongoing telephone survey of adults conducted by the 50 states and the District of Columbia.
RESULTS: Many near-elderly adults least likely to have health care coverage were Black or Hispanic, had less than a high school education and incomes less than $15,000 per year, and were unemployed or self-employed. Health insurance coverage was associated with increased use of clinical preventive services even when sex, race/ethnicity, marital status, and educational level were controlled.
CONCLUSIONS: Many near-elderly individuals without insurance will probably not be able to participate in a Medicare buy-in unless it is subsidized in some way.

Mesh:

Year:  1999        PMID: 10358679      PMCID: PMC1508639          DOI: 10.2105/ajph.89.6.882

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  14 in total

1.  The impact of being uninsured on utilization of basic health care services.

Authors:  B C Spillman
Journal:  Inquiry       Date:  1992       Impact factor: 1.730

2.  Comparison of uninsured and privately insured hospital patients. Condition on admission, resource use, and outcome.

Authors:  J Hadley; E P Steinberg; J Feder
Journal:  JAMA       Date:  1991-01-16       Impact factor: 56.272

3.  Reverse targeting of preventive care due to lack of health insurance.

Authors:  S Woolhandler; D U Himmelstein
Journal:  JAMA       Date:  1988-05-20       Impact factor: 56.272

4.  Health risk and access to employer-provided health insurance.

Authors:  T C Buchmueller
Journal:  Inquiry       Date:  1995       Impact factor: 1.730

5.  Physician utilization disparities between the uninsured and insured. Comparisons of the chronically ill, acutely ill, and well nonelderly populations.

Authors:  C Hafner-Eaton
Journal:  JAMA       Date:  1993-02-10       Impact factor: 56.272

6.  Dynamics of people without health insurance. Don't let the numbers fool you.

Authors:  K Swartz
Journal:  JAMA       Date:  1994-01-05       Impact factor: 56.272

7.  Design, characteristics, and usefulness of state-based behavioral risk factor surveillance: 1981-87.

Authors:  P L Remington; M Y Smith; D F Williamson; R F Anda; E M Gentry; G C Hogelin
Journal:  Public Health Rep       Date:  1988 Jul-Aug       Impact factor: 2.792

8.  The behavioral risk factor surveys: II. Design, methods, and estimates from combined state data.

Authors:  E M Gentry; W D Kalsbeek; G C Hogelin; J T Jones; K L Gaines; M R Forman; J S Marks; F L Trowbridge
Journal:  Am J Prev Med       Date:  1985 Nov-Dec       Impact factor: 5.043

9.  Delayed access to health care: risk factors, reasons, and consequences.

Authors:  J S Weissman; R Stern; S L Fielding; A M Epstein
Journal:  Ann Intern Med       Date:  1991-02-15       Impact factor: 25.391

10.  No insurance, public insurance, and private insurance: do these options contribute to differences in general health?

Authors:  B Hahn; A B Flood
Journal:  J Health Care Poor Underserved       Date:  1995
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  18 in total

1.  State trends in uninsurance among individuals aged 18 to 64 years: United States, 1992-2001.

Authors:  David E Nelson; Julie Bolen; Henry E Wells; Suzanne M Smith; Shayne Bland
Journal:  Am J Public Health       Date:  2004-11       Impact factor: 9.308

2.  Life on the edge: patterns of formal and informal help to older adults in the United States and Sweden.

Authors:  Adam Davey; Elia E Femia; Steven H Zarit; Dennis G Shea; Gerdt Sundström; Stig Berg; Michael A Smyer; Jyoti Savla
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2005-09       Impact factor: 4.077

3.  Use of preventive care by the working poor in the United States.

Authors:  Joseph S Ross; Susannah M Bernheim; Elizabeth H Bradley; Hsun-Mei Teng; William T Gallo
Journal:  Prev Med       Date:  2006-12-29       Impact factor: 4.018

4.  Inpatient hospital utilization among the uninsured near elderly: data and policy implications for West Virginia.

Authors:  Donna L Spencer; Sally K Richardson; Melissa Kolb McCormick
Journal:  Health Serv Res       Date:  2007-12       Impact factor: 3.402

5.  State and metropolitan variation in lack of health insurance among working-age adults, Behavioral Risk Factor Surveillance System, 2006.

Authors:  Indu B Ahluwalia; Julie Bolen; William S Pearson; Michael Link; William Garvin; Ali Mokdad
Journal:  Public Health Rep       Date:  2009 Jan-Feb       Impact factor: 2.792

6.  Awareness and utilization of preventive care services among the elderly under National Health Insurance.

Authors:  Chun-Chih Chen; Yen-Ju Lin; Ying-Tzu Lin
Journal:  Int J Health Care Finance Econ       Date:  2013-06-11

7.  Lack of health insurance coverage among working-age adults, evidence from the Behavioral Risk Factor Surveillance System, 1993-2006.

Authors:  Indu B Ahluwalia; Julie Bolen
Journal:  J Community Health       Date:  2008-10

8.  The impact of Medicare Part D on out-of-pocket costs for prescription drugs, medication utilization, health resource utilization, and preference-based health utility.

Authors:  Frank Xiaoqing Liu; G Caleb Alexander; Stephanie Y Crawford; A Simon Pickard; Donald Hedeker; Surrey M Walton
Journal:  Health Serv Res       Date:  2011-05-24       Impact factor: 3.402

9.  In Low-Income Latino Patients, Post-Affordable Care Act Insurance Disparities May Be Reduced Even More than Broader National Estimates: Evidence from Oregon.

Authors:  John Heintzman; Steffani R Bailey; Jennifer DeVoe; Stuart Cowburn; Tanya Kapka; Truc-Vi Duong; Miguel Marino
Journal:  J Racial Ethn Health Disparities       Date:  2016-04-22

10.  High-Deductible Insurance and Delay in Care for the Macrovascular Complications of Diabetes.

Authors:  J Frank Wharam; Christine Y Lu; Fang Zhang; Matthew Callahan; Xin Xu; Jamie Wallace; Stephen Soumerai; Dennis Ross-Degnan; Joseph P Newhouse
Journal:  Ann Intern Med       Date:  2018-11-20       Impact factor: 25.391

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