Risk selection in primary care: a cross-sectional fixed effect analysis of Swedish individual data.
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ABSTRACT: Objective
To assess socioeconomic differences between patients registered with private and public primary healthcare centres.Design
Population-based cross-sectional study controlling for municipality and household.Setting
Swedish population-based socioeconomic data collected from Statistics Sweden linked with individual registration data from all 21 Swedish regions.Participants
All individuals residing in Sweden on 31 December 2015 (n=9 851 017) were included in the study.Primary outcome measures
Registration with private versus public primary healthcare centres.Results
After controlling for municipality and household, individuals with higher socioeconomic status were more likely to be registered with a private primary healthcare provider. Individuals in the highest income quantile were 4.9 percentage points (13.7%) more likely to be registered with a private primary healthcare provider compared with individuals in the lowest income quantile. Individuals with 1-3?years of higher education were 4.7 percentage points more likely to be registered with a private primary healthcare provider compared with those with an incomplete primary education.Conclusions
The results show that there are notable differences in registration patterns, indicating a skewed distribution of patients and health risks between private and public primary healthcare providers. This suggests that risk selection behaviour occurs in the reformed Swedish primary healthcare system, foremost through location patterns.
SUBMITTER: Isaksson D
PROVIDER: S-EPMC6224750 | biostudies-literature | 2018 Oct
REPOSITORIES: biostudies-literature
Publications
Risk selection in primary care: a cross-sectional fixed effect analysis of Swedish individual data.
Isaksson David D Blomqvist Paula P Pingel Ronnie R Winblad Ulrika U
BMJ open 20181023 10
<h4>Objective</h4>To assess socioeconomic differences between patients registered with private and public primary healthcare centres.<h4>Design</h4>Population-based cross-sectional study controlling for municipality and household.<h4>Setting</h4>Swedish population-based socioeconomic data collected from Statistics Sweden linked with individual registration data from all 21 Swedish regions.<h4>Participants</h4>All individuals residing in Sweden on 31 December 2015 (n=9 851 017) were included in t ...[more]
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