Interventions to Prevent Hospital Admissions in Long-Term Care Facilities: A Rapid Review of Economic Evidence

Abstract

ObjectivesHospital admissions can be hazardous for older adults, particularly those living in long-term care facilities. Preventing nonessential admissions can be beneficial for this population, as well as reducing demand on health services. This review summarizes the economic evidence surrounding effective interventions to reduce hospital attendances and admissions for people living in long-term care facilities. DesignRapid review of economic evidence. Setting and ParticipantsPeople living in long-term facilities. MethodsWe searched MEDLINE, CINAHL, Cochrane CENTRAL, PubMed, and Web of Science on September 20, 2022, and again on January 10, 2023. Full economic evaluations and cost analyses reporting on advanced care planning, goals of care setting, nurse practitioner input, palliative care, influenza vaccinations, and enhancing access to intravenous therapies were eligible. Data were extracted using a prepiloted data extraction form and critically appraised using either the Drummond-Jefferson checklist or an amended NIH Critical Appraisal Tool appended with questions from a critical appraisal checklist for cost analyses. Data were synthesized narratively. ResultsWe included 7 studies: 3 full economic evaluations and 4 cost analyses. Because of lack of clarity on the underlying study design, we did not include one of the cost analyses in our synthesis. Advanced care planning, a palliative care program, and a high-dose influenza vaccination reported potential cost savings. Economic evidence for a multicomponent intervention and a nurse practitioner model was inconclusive. The overall quality of the evidence varied between studies. Conclusions and ImplicationsA number of potentially cost-effective approaches to reduce demand on hospital services from long-term care facilities were identified. However, further economic evaluations are needed to overcome limitations of the current evidence base and offer more confident conclusions.