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Causal analysis of the impact of homecare services on patient discharge disposition

  • University of Texas at Arlington
  • SUNY Buffalo

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This study uses observational causal inference to evaluate the impact of different combinations of home care services (nursing, therapies, social work, home aides) on end-of-episode disposition for individuals with chronic diseases associated with the circulatory, endocrine, and musculoskeletal systems. The potential to generate actionable recommendations for personalizing home care services, or treatment plans, from limited clinical and care needs data is demonstrated. For patients with chronic disease in the circulatory or musculoskeletal systems, a 2.91% and 3.38% decrease, respectively, in acute care hospitalization rates could be obtained by providing patients with therapy and nursing services, rather than therapy services alone.

Original languageEnglish
Pages (from-to)162-181
Number of pages20
JournalHome Health Care Services Quarterly
Volume38
Issue number3
DOIs
StatePublished - Jul 3 2019

Keywords

  • Quality of care/evaluation of services
  • causal inference modeling
  • chronic disease
  • placementtransferand discharge
  • policies/policy analysis
  • service delivery/utilization

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