Literature DB >> 12955919

Variation in preventive service use among the insured and uninsured: does length of time without coverage matter?

Heather L Bednarek1, Barbara Steinberg Schone.   

Abstract

Lacking health insurance has consequences for the ways in which individuals seek care. In this research, the authors use data from the first panel (1996) of the Medical Expenditure Panel Survey to assess the relationship between preventive services and the length of time with insurance during a 12-month period. Regression analyses show that individuals with continuous coverage during the entire period have dramatically higher rates of preventive service use than individuals who lack coverage for all 12 months. For most services, the authors also find modest differences in preventive service use between the continually insured and those individuals with coverage for 1 to 6 months. Rates of preventive service use for individuals with 7 to 11 months of coverage are statistically indistinguishable from the continually insured. The authors' findings highlight the importance of considering the length of time without coverage when evaluating preventive service use of the uninsured population.

Mesh:

Year:  2003        PMID: 12955919     DOI: 10.1353/hpu.2010.0529

Source DB:  PubMed          Journal:  J Health Care Poor Underserved        ISSN: 1049-2089


  11 in total

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Authors:  Priti Bandi; Vilma E Cokkinides; Katherine S Virgo; Elizabeth M Ward
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3.  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

4.  Using electronic health record data to evaluate preventive service utilization among uninsured safety net patients.

Authors:  John Heintzman; Miguel Marino; Megan Hoopes; Steffani Bailey; Rachel Gold; Courtney Crawford; Stuart Cowburn; Jean O'Malley; Christine Nelson; Jennifer E DeVoe
Journal:  Prev Med       Date:  2014-08-11       Impact factor: 4.018

5.  The Long-Term Uninsured Were Less Likely than the Short-Term Uninsured to Gain Insurance in 2014.

Authors:  Salam Abdus; Sandra L Decker
Journal:  J Gen Intern Med       Date:  2018-05       Impact factor: 5.128

6.  Predicting Areas with High Concentration of the Long-Term Uninsured and Their Association with Emergency Department Usage by Uninsured Patients in South Carolina.

Authors:  Khoa Truong; Julie Summey Bedi; Lingling Zhang; Brooke Draghi; Lu Shi
Journal:  Healthcare (Basel)       Date:  2022-04-21

7.  Health Insurance Coverage Disruptions and Cancer Care and Outcomes: Systematic Review of Published Research.

Authors:  K Robin Yabroff; Katherine Reeder-Hayes; Jingxuan Zhao; Michael T Halpern; Ana Maria Lopez; Leon Bernal-Mizrachi; Anderson B Collier; Joan Neuner; Jonathan Phillips; William Blackstock; Manali Patel
Journal:  J Natl Cancer Inst       Date:  2020-07-01       Impact factor: 13.506

8.  Impact of discontinuity in health insurance on resource utilization.

Authors:  Ritesh Banerjee; Jeanette Y Ziegenfuss; Nilay D Shah
Journal:  BMC Health Serv Res       Date:  2010-07-06       Impact factor: 2.655

9.  Testing health information technology tools to facilitate health insurance support: a protocol for an effectiveness-implementation hybrid randomized trial.

Authors:  Jennifer E DeVoe; Nathalie Huguet; Sonja Likumahuwa-Ackman; Heather Angier; Christine Nelson; Miguel Marino; Deborah Cohen; Aleksandra Sumic; Megan Hoopes; Rose L Harding; Marla Dearing; Rachel Gold
Journal:  Implement Sci       Date:  2015-08-25       Impact factor: 7.327

10.  Effectiveness of an insurance enrollment support tool on insurance rates and cancer prevention in community health centers: a quasi-experimental study.

Authors:  Nathalie Huguet; Steele Valenzuela; Miguel Marino; Laura Moreno; Brigit Hatch; Andrea Baron; Deborah J Cohen; Jennifer E DeVoe
Journal:  BMC Health Serv Res       Date:  2021-10-30       Impact factor: 2.655

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