Evidence map›Paper›PMID 38910530›Full record

SynthesisJBI evidence synthesis2024

Long-term care home residents' experiences with socially assistive technologies and the effectiveness of these technologies: a mixed methods systematic review.

Marilyn Macdonald, Allyson Gallant, Lori Weeks, Alannah Delahunty-Pike, Elaine Moody, Damilola Iduye, Melissa Rothfus, Chelsa States, Ruth Martin-Misener, Melissa Ignaczak and 3 more

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in JBI evidence synthesis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Marilyn MacdonaldSchool of Nursing, Faculty of Health, Dalhousie University, Halifax, NS, Canada.ORCID 0000-0002-0204-6278
Allyson GallantSchool of Nursing, Faculty of Health, Dalhousie University, Halifax, NS, Canada.
Lori WeeksSchool of Nursing, Faculty of Health, Dalhousie University, Halifax, NS, Canada.ORCID 0000-0001-5334-3320
Alannah Delahunty-PikeSchool of Nursing, Faculty of Health, Dalhousie University, Halifax, NS, Canada.ORCID 0000-0002-7967-0685
Elaine MoodySchool of Nursing, Faculty of Health, Dalhousie University, Halifax, NS, Canada.ORCID 0000-0003-4546-7168
Damilola IduyeSchool of Nursing, Faculty of Health, Dalhousie University, Halifax, NS, Canada.ORCID 0000-0002-7563-314
Melissa RothfusKellogg Health Sciences Library, Dalhousie University, Halifax, NS, Canada.ORCID 0000-0001-7529-9789
Chelsa StatesSchool of Nursing, Faculty of Health, Dalhousie University, Halifax, NS, Canada.
Ruth Martin-MisenerSchool of Nursing, Faculty of Health, Dalhousie University, Halifax, NS, Canada.ORCID 0000-0003-4554-7635
Melissa IgnaczakSchool of Nursing, Faculty of Health, Dalhousie University, Halifax, NS, Canada.
Julie CarusoSchool of Nursing, Faculty of Health, Dalhousie University, Halifax, NS, Canada.ORCID 0000-0002-3033-5974
Janet SimmNorthwood Corporate, Dartmouth, NS, Canada.
Andrea MayoNorthwood Corporate, Dartmouth, NS, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objectives of this review were to determine the effectiveness of socially assistive technologies for improving depression, loneliness, and social interaction among residents of long-term care (LTC) homes, and to explore the experiences of residents of LTC homes with socially assistive technologies.

introductionGlobally, the number of older adults (≥ 65 years) and the demand for LTC services are expected to increase over the next 30 years. Individuals within this population are at increased risk of experiencing depression, loneliness, and social isolation. The exploration of the extent to which socially assistive technologies may aid in improving loneliness and depression while supporting social interactions is essential to supporting a sustainable LTC sector. INCLUSION CRITERIA: This mixed methods systematic review included studies on the experiences of older adults in LTC homes using socially assistive technologies, as well as studies on the effectiveness of these technologies for improving depression, loneliness, and social interaction. Older adults were defined as people 65 years of age and older. We considered studies examining socially assistive technologies, such as computers, smart phones, tablets, and associated applications.

methodsA JBI mixed methods convergent, segregated approach was used. CINAHL (EBSCOhost), MEDLINE (Ovid), Embase, APA PsycINFO (EBSCOhost), and Scopus databases were searched on January 18, 2022, to identify published studies. The search for unpublished studies and gray literature included ProQuest Dissertations and Theses Global, Open Access Theses and Dissertations, Google, and the websites of professional organizations associated with LTC. No language or geographical restrictions were placed on the search. Titles, abstracts, and full texts of included studies were screened by 2 reviewers independently. Included studies underwent quality appraisal and data extraction. Quantitative and qualitative data findings were analyzed separately and then integrated. Where possible, quantitative data were synthesized using comparative meta-analyses with a fixed-effects model.

resultsFrom 12,536 records identified through the search, 14 studies were included. Quantitative (n=8), mixed methods (n=3), and qualitative (n=3) approaches were used in the included studies, with half (n=7) using quasi-experimental designs. All studies received moderate to high-quality appraisal scores. Comparative meta-analyses for depression and loneliness scores did not find any significant differences, and narrative findings were mixed. Qualitative meta-aggregation identified 1 synthesized finding (Matching technology functionality to user for enhanced well-being) derived from 2 categories (Enhanced sense of well-being, and Mismatch between technology and resident ability).

conclusionsResidents' experiences with socially assistive technologies, such as videoconferencing, encourage a sense of well-being, although quantitative findings related to depression and loneliness reported mixed impact. Residents experienced physical and cognitive challenges in learning to use the technology and required assistance. Future work should consider the unique needs of older adults and LTC home residents in the design and use of socially assistive technologies. REVIEW REGISTRATION: PROSPERO CRD42021279015.

Indexed as

DepressionLonelinessLong-Term CareSelf-Help DevicesAgedAged, 80 and overHumansNursing HomesSocial InteractionSocial Isolation

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.