Assessing Community Quality of Health Care.
Ontology highlight
ABSTRACT: Objective
To determine the agreement of measures of care in different settings-hospitals, nursing homes (NHs), and home health agencies (HHAs)-and identify communities with high-quality care in all settings.Data sources/study setting
Publicly available quality measures for hospitals, NHs, and HHAs, linked to hospital service areas (HSAs).Study design
We constructed composite quality measures for hospitals, HHAs, and nursing homes. We used these measures to identify HSAs with exceptionally high- or low-quality of care across all settings, or only high hospital quality, and compared these with respect to sociodemographic and health system factors.Principal findings
We identified three dimensions of hospital quality, four HHA dimensions, and two NH dimensions; these were poorly correlated across the three care settings. HSAs that ranked high on all dimensions had more general practitioners per capita, and fewer specialists per capita, than HSAs that ranked highly on only the hospital measures.Conclusion
Higher quality hospital, HHA, and NH care are not correlated at the regional level; regions where all dimensions of care are high differ systematically from regions which score well on only hospital measures and from those which score well on none.
SUBMITTER: Herrin J
PROVIDER: S-EPMC4722214 | biostudies-literature | 2016 Feb
REPOSITORIES: biostudies-literature
Publications
Assessing Community Quality of Health Care.
Herrin Jeph J Kenward Kevin K Joshi Maulik S MS Audet Anne-Marie J AM Hines Stephen J SJ
Health services research 20150611 1
<h4>Objective</h4>To determine the agreement of measures of care in different settings-hospitals, nursing homes (NHs), and home health agencies (HHAs)-and identify communities with high-quality care in all settings.<h4>Data sources/study setting</h4>Publicly available quality measures for hospitals, NHs, and HHAs, linked to hospital service areas (HSAs).<h4>Study design</h4>We constructed composite quality measures for hospitals, HHAs, and nursing homes. We used these measures to identify HSAs w ...[more]
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