Did a digital quality of life (QOL) assessment and practice support system in home health care improve the QOL of older adults living with life-limiting conditions and of their family caregivers? A mixed-methods pragmatic randomized controlled trial

We aimed to improve the quality of life (QOL) of homecare patients (≥ 55 years of age) who had chronic life-limiting conditions and that of their family caregivers by making QOL assessment data available via a digital QOL and practice support system (QPSS). We hypothesized that access to QPSS data in home health care would result in improved QOL for patients or their family caregivers. We further sought to understand how to integrate the use of QOL information into home health care. Our mixed-methods study, including a pragmatic randomized controlled trial (PrCT; registered at ClinicalTrials.gov #NCT02940951), was conducted with nine home healthcare teams in Canadian urban areas. The qualitative research included focus groups and interviews with home healthcare teams (N = 118) to determine how to integrate the QPSS into their practice. Participating homecare patients were assigned to an intervention group (N = 166), where home healthcare teams had access to patients' and their family caregivers' QOL data via the QPSS, or a usual care group (N = 165). Where possible, one family caregiver per patient was recruited (intervention N = 62; usual care N = 51). Primary outcomes, measured every two months for one year, were patients' and family caregivers' QOL trajectories. Longitudinal structural equation models were used to compare the trajectories. The home healthcare teams preferred to have QOL scores presented as tables and graphs, with family caregivers' data linked to each patient. Despite the enthusiasm expressed by the home healthcare teams, and efforts to satisfy their preferences, they infrequently accessed the QOL information. While we observed substantial individual-level variability in patients' and family caregivers' QOL trajectories, the average trajectories for the PrCT groups were similar. Making QOL assessment data available via a digital platform may not be sufficient to achieve measurable improvements for patients and family caregivers.

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Publication Details

Journal
PLoS ONE
Published
2025-05-06
DOI
https://doi.org/10.1371/journal.pone.0320306
Citations
2
Primary Topic
Palliative Care and End-of-Life Issues
Type
article
Field-Weighted Citation Impact
3.76

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article

Did a digital quality of life (QOL) assessment and practice support system in home health care improve the QOL of older adults living with life-limiting conditions and of their family caregivers? A mixed-methods pragmatic randomized controlled trial

Joakim Öhlén, Pamela A. Ratner, Jae‐Yung Kwon, Lisa Zetes-Zanatta et al.
2 citations
PLoS ONE
Palliative Care and End-of-Life Issues
3.76
article

Did a digital quality of life (QOL) assessment and practice support system in home health care improve the QOL of older adults living with life-limiting conditions and of their family caregivers? A mixed-methods pragmatic randomized controlled trial

Joakim Öhlén, Pamela A. Ratner, Jae‐Yung Kwon, Lisa Zetes-Zanatta, David G. T. Whitehurst, Richard Sawatzky, Kara Schick‐Makaroff, S. Robin Cohen, Alies Maybee, KELLI I. STAJDUHAR
article en
2 citations

Abstract

We aimed to improve the quality of life (QOL) of homecare patients (≥ 55 years of age) who had chronic life-limiting conditions and that of their family caregivers by making QOL assessment data available via a digital QOL and practice support system (QPSS). We hypothesized that access to QPSS data in home health care would result in improved QOL for patients or their family caregivers. We further sought to understand how to integrate the use of QOL information into home health care. Our mixed-methods study, including a pragmatic randomized controlled trial (PrCT; registered at ClinicalTrials.gov #NCT02940951), was conducted with nine home healthcare teams in Canadian urban areas. The qualitative research included focus groups and interviews with home healthcare teams (N = 118) to determine how to integrate the QPSS into their practice. Participating homecare patients were assigned to an intervention group (N = 166), where home healthcare teams had access to patients' and their family caregivers' QOL data via the QPSS, or a usual care group (N = 165). Where possible, one family caregiver per patient was recruited (intervention N = 62; usual care N = 51). Primary outcomes, measured every two months for one year, were patients' and family caregivers' QOL trajectories. Longitudinal structural equation models were used to compare the trajectories. The home healthcare teams preferred to have QOL scores presented as tables and graphs, with family caregivers' data linked to each patient. Despite the enthusiasm expressed by the home healthcare teams, and efforts to satisfy their preferences, they infrequently accessed the QOL information. While we observed substantial individual-level variability in patients' and family caregivers' QOL trajectories, the average trajectories for the PrCT groups were similar. Making QOL assessment data available via a digital platform may not be sufficient to achieve measurable improvements for patients and family caregivers.

PLoS ONEVol. 20(5)
Interior Health (CA), Western University (CA), University of British Columbia (CA), University of Alberta (CA), Simon Fraser University (CA), University of Victoria (CA), Trinity Western University (CA), Sahlgrenska University Hospital (SE), Jewish General Hospital (CA), Kamloops Art Gallery (CA), Providence Health Care Research Institute (CA), McGill University (CA), University of Gothenburg (SE)
Canada Research Chairs, Fraser Health Authority, Canadian Institutes of Health Research
Openalex Percentile: Top 8%
Palliative Care and End-of-Life Issues
3.76
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