Literature DB >> 29553277

Overuse and insurance plan type in a privately insured population.

Meredith B Rosenthal1, Carrie H Colla, Nancy E Morden, Thomas D Sequist, Alexander J Mainor, Zhonghe Li, Kevin H Nguyen.   

Abstract

OBJECTIVES: A substantial portion of healthcare spending is wasted on services that do not directly improve patient health and that cause harm in some cases. Features of health insurance coverage, including enrollment in high-deductible health plans (HDHPs) or health maintenance organizations (HMOs), may provide financial and nonfinancial mechanisms to potentially reduce overuse of low-value healthcare services. STUDY
DESIGN: Using 2009 to 2013 administrative data from 3 large commercial insurers, we examined patient characteristics and health insurance plan types associated with overuse of 6 healthcare services identified by the Choosing Wisely campaign.
METHODS: We explored associations between overuse and patient characteristics using multivariate logistic regression models, including patient age, gender, enrollment in an HMO, enrollment in an HDHP, an indicator of primary care fragmentation, and number of outpatient visits as explanatory variables.
RESULTS: Measurement of services highlighted as potential overuse by the Choosing Wisely recommendations revealed low to moderate prevalence, depending on the service. HMO coverage and enrollment in HDHPs were significantly associated with differences in prevalence of all 6 services, albeit differently in terms of the direction of the effects. Primary care fragmentation was significantly associated with higher rates of overuse.
CONCLUSIONS: Neither HDHPs nor HMO plans, with their closed networks and referral requirements, consistently reduced overuse, although HMO plans were never associated with higher rates of overuse. As policy makers seek levers for reducing low-value healthcare utilization, health insurance plan features may prove a valuable target, although the effect may be complicated by other factors.

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Mesh:

Year:  2018        PMID: 29553277      PMCID: PMC5985657     

Source DB:  PubMed          Journal:  Am J Manag Care        ISSN: 1088-0224            Impact factor:   2.229


  30 in total

1.  Nearly half of families in high-deductible health plans whose members have chronic conditions face substantial financial burden.

Authors:  Alison A Galbraith; Dennis Ross-Degnan; Stephen B Soumerai; Meredith B Rosenthal; Charlene Gay; Tracy A Lieu
Journal:  Health Aff (Millwood)       Date:  2011-02       Impact factor: 6.301

2.  Low-socioeconomic-status enrollees in high-deductible plans reduced high-severity emergency care.

Authors:  J Frank Wharam; Fang Zhang; Bruce E Landon; Stephen B Soumerai; Dennis Ross-Degnan
Journal:  Health Aff (Millwood)       Date:  2013-08       Impact factor: 6.301

3.  Assessing the impact of high deductible health plans on health-care utilization and cost: a changes-in-changes approach.

Authors:  Bijan J Borah; Marguerite E Burns; Nilay D Shah
Journal:  Health Econ       Date:  2011-06-01       Impact factor: 3.046

4.  High-deductible health insurance plans: efforts to sharpen a blunt instrument.

Authors:  Mary Reed; Vicki Fung; Mary Price; Richard Brand; Nancy Benedetti; Stephen F Derose; Joseph P Newhouse; John Hsu
Journal:  Health Aff (Millwood)       Date:  2009 Jul-Aug       Impact factor: 6.301

5.  Payer Type and Low-Value Care: Comparing Choosing Wisely Services across Commercial and Medicare Populations.

Authors:  Carrie H Colla; Nancy E Morden; Thomas D Sequist; Alexander J Mainor; Zhonghe Li; Meredith B Rosenthal
Journal:  Health Serv Res       Date:  2017-02-19       Impact factor: 3.402

6.  Comparison of Low-Value Care in Medicaid vs Commercially Insured Populations.

Authors:  Christina J Charlesworth; Thomas H A Meath; Aaron L Schwartz; K John McConnell
Journal:  JAMA Intern Med       Date:  2016-07-01       Impact factor: 21.873

7.  Low-Value Health Care Services in a Commercially Insured Population.

Authors:  Rachel O Reid; Brendan Rabideau; Neeraj Sood
Journal:  JAMA Intern Med       Date:  2016-10-01       Impact factor: 21.873

8.  Swimming against the current--what might work to reduce low-value care?

Authors:  Carrie H Colla
Journal:  N Engl J Med       Date:  2014-10-02       Impact factor: 91.245

9.  Use of non-indicated cardiac testing in low-risk patients: Choosing Wisely.

Authors:  Carrie H Colla; Thomas D Sequist; Meredith B Rosenthal; William L Schpero; Daniel J Gottlieb; Nancy E Morden
Journal:  BMJ Qual Saf       Date:  2014-08-05       Impact factor: 7.035

10.  Factors affecting therapeutic compliance: A review from the patient's perspective.

Authors:  Jing Jin; Grant Edward Sklar; Vernon Min Sen Oh; Shu Chuen Li
Journal:  Ther Clin Risk Manag       Date:  2008-02       Impact factor: 2.423

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Review 1.  Defining and measuring imaging appropriateness in low back pain studies: a scoping review.

Authors:  Mark Yates; Crystian B Oliveira; James B Galloway; Chris G Maher
Journal:  Eur Spine J       Date:  2020-01-14       Impact factor: 3.134

2.  Effects of employer-offered high-deductible plans on low-value spending in the privately insured population.

Authors:  Brendan Rabideau; Matthew D Eisenberg; Rachel Reid; Neeraj Sood
Journal:  J Health Econ       Date:  2021-01-09       Impact factor: 3.883

Review 3.  Determinants for the use and de-implementation of low-value care in health care: a scoping review.

Authors:  Hanna Augustsson; Sara Ingvarsson; Per Nilsen; Ulrica von Thiele Schwarz; Irene Muli; Jessica Dervish; Henna Hasson
Journal:  Implement Sci Commun       Date:  2021-02-04
  3 in total

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