Association Between Modifiable Structural and Process Factors and the Quality Indicator Pain in Nursing Home Residents: A MultiCentre Cross‐Sectional Survey
Year: 2024
Type: article
Study design: Observational Study
Abstract: AIM(S): The aim of this study is to examine the association between modifiable structural and process factors and self-reported as well as observed pain in Swiss residential long-term care residents. DESIGN: Sub-study of a multicentre cross-sectional survey. METHODS: Institution, unit, and staff data were collected from September 2018 to October 2019 in 118 residential long-term care institutions in Switzerland's German- and French-speaking regions using paper questionnaires. Resident data were exported during the same period from routine data sets. RESULTS: In this study, 6213 residents from 86 residential long-term care institutions were included. Modifiable structural factors such as institutions having access to geriatricians, nursing experts and a palliative care team, the presence of a pain guideline on the unit and good teamwork among care workers were associated to less pain in residents. CONCLUSION: It is possible for residential long-term care institutions to improve pain in residents and to optimise the quality of care by providing access to geriatricians, nursing experts and a palliative care team, working with a pain guideline and fostering teamwork. IMPLICATION FOR THE PROFESSION AND/OR PATIENT CARE: Residential long-term care institutions can modify and implement modifiable structural factors which can reduce pain in residents to optimise residents' quality of life and quality of care. IMPACT: Improved pain management in residential long-term care institutions can lead to optimised quality of care and quality of life for individual residents. REPORTING METHOD: STROBE checklist. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.
Source: Journal of Advanced Nursing
DOI: 10.1111/jan.16567
Authors: Simone Baumgartner‐Violand, Thekla Brunkert, Sinéad Cassidy, Catherine Blatter, Lauriane Favez, Franziska Zúñiga
Language: English
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $5,190
OpenAlex ID: W4403683717
