The dynamics of medical care use in the British household panel survey

Jennifer L Kohn1, Jing Shi Liu

  • 1Department of Economics and Business Studies, Drew University, Madison, NJ 07940, USA. jkohn@drew.edu

Health Economics
|June 14, 2012
PubMed

Insights

Medical care use shows significant persistence over time, even after accounting for health status. This persistence is particularly pronounced for individuals with no or high medical care utilization, and for women, older individuals, and those in poor health.

Area of Science:

  • Health Economics
  • Econometrics
  • Public Health Policy

Background:

  • Understanding the drivers of medical care demand is crucial for healthcare policy and resource allocation.
  • High medical care users disproportionately consume healthcare resources, making their utilization patterns particularly important.
  • Previous models often assume medical care use is primarily driven by current health status.

Purpose of the Study:

  • To investigate the persistence of medical care use over an extended period.
  • To determine if past medical care utilization predicts future use, independent of health status.
  • To identify factors influencing the persistence of medical care use, including unobservable heterogeneity.

Main Methods:

  • Utilized 18 waves of the British Household Panel Survey, a long-term longitudinal dataset.
  • Employed econometric models to analyze the persistence of medical care use, controlling for health and other covariates.
  • Quantified the contribution of unobservable heterogeneity to the variation in medical care use.

Main Results:

  • Medical care use demonstrates significant persistence over time, even after controlling for health status and observable factors.
  • Both 'no use' and 'high use' categories exhibit stronger persistence.
  • Persistence is more pronounced in women, individuals in poor health, and older age groups.

Conclusions:

  • Unobservable individual characteristics significantly influence medical care use and are correlated with health over time.
  • Static models may overestimate the effectiveness of health improvement policies in reducing aggregate medical care spending.
  • Future policies targeting healthcare spending reduction should consider the persistent nature of medical care utilization.

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