Causal variation modelling identifies large inter- and intra-regional disparities in physical therapy offered to hip fracture patients in Estonia

DISABILITY AND REHABILITATION(2022)

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摘要
Purpose An essential measure of hip fracture (HF) rehabilitation, the amount of physical therapy (PT) used per patient, has been severely understudied. This study (1) evaluates post-acute PT use after HF in Estonia, (2) presents causal variation modelling for examining inter- and intra-regional disparities, and (3) analyses its temporal trends. Materials and methods This retrospective cohort study used validated population-wide health data, including patients aged >= 50 years, with an index HF diagnosed between January 2009 and September 2017. Patients' 6-month PT use was analysed and reported separately for acute and post-acute phases. Results While most of the included 11,461 patients received acute rehabilitation, only 40% of them received post-acute PT by a median of 6 h. Analyses based on measures of central tendency revealed 2.5 to 2.6-fold inter-regional differences in HF post-acute rehabilitation. Variation modelling additionally detected intra-regional disparities, showing imbalances in the fairness of allocating local rehabilitation resources between a county's patients. Conclusions This study demonstrates the advantages of causal variation modelling for identifying inter- and intra-regional disparities in rehabilitation. The analyses revealed persisting large multi-level disparities and accompanying overall inaccessibility of PT in HF rehabilitation in Estonia, showing an urgent need for system-wide improvements.
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关键词
Hip fracture, rehabilitation, research methodology, causal directed acyclic graphs, variation modelling, zero-inflation
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