A realist evaluation of a multifactorial falls prevention programme in care homes

Age Ageing. 2022 Dec 5;51(12):afac263. doi: 10.1093/ageing/afac263.

Abstract

Background: falls in care homes are common, costly and hard to prevent.Multifactorial falls programmes demonstrate clinical and cost-effectiveness, but the heterogeneity of the care home sector is a barrier to their implementation. A fuller appreciation of the relationship between care home context and falls programme delivery will guide development and support implementation.

Methods: this is a multi-method process evaluation informed by a realist approach.Data include fidelity observations, stakeholder interviews, focus groups, documentary review and falls-rate data. Thematic analysis of qualitative data and descriptive statistics are synthesised to generate care home case studies.

Results: data were collected in six care homes where a falls programme was trialled. Forty-four interviews and 11 focus groups complemented observations and document review.The impact of the programme varied. Five factors were identified: (i) prior practice and (ii) training may inhibit new ways of working; (iii) some staff may be reluctant to take responsibility for falls; (iv) some may feel that residents living with dementia cannot be prevented from falling; and, (v) changes to management may disturb local innovation.In some care homes, training and improved awareness generated a reduction in falls without formal assessments being carried out.

Conclusions: different aspects of the falls programme sparked different mechanisms in different settings, with differing impact upon falls.The evaluation has shown that elements of a multifactorial falls programme can work independently of each other and that it is the local context (and local challenges faced), which should shape how a falls programme is implemented.

Keywords: care homes; falls prevention; older people; qualitative research; realist evaluation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Focus Groups
  • Humans
  • Research Design*