How do population, general practice and hospital factors influence ambulatory care sensitive admissions: a cross sectional study.

ABSTRACT:

Background

Reducing unplanned hospital admissions is a key priority within the UK and other healthcare systems, however it remains uncertain how this can be achieved. This paper explores the relationship between unplanned ambulatory care sensitive condition (ACSC) admission rates and population, general practice and hospital characteristics. Additionally, we investigated if these factors had a differential impact across 28 conditions.

Methods

We used the English Hospital Episode Statistics to calculate the number of unplanned ACSC hospital admissions for 28 conditions at 8,029 general practices during 2011/12. We used multilevel negative binomial regression to estimate the influence of population (deprivation), general practice (size, access, continuity, quality, A&E proximi

SUBMITTER: Busby J 

PROVIDER: S-EPMC5445441 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature