Evidence map›Paper›PMID 35275841›Full record

ArticleJMIR research protocols2022

Strengthening Social Capital to Address Isolation and Loneliness in Long-term Care Facilities During the COVID-19 Pandemic: Protocol for a Systematic Review of Research on Information and Communication Technologies.

Idrissa Beogo, Drissa Sia, Eric Tchouaket Nguemeleu, Junqiang Zhao, Marie-Pierre Gagnon, Josephine Etowa

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Idrissa BeogoSchool of Nursing, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0003-1467-2169
Drissa SiaDépartement des sciences infirmières, Université du Québec en Outaouais, Saint-Jerôme, QC, Canada.ORCID https://orcid.org/0000-0003-0044-8465
Eric Tchouaket NguemeleuDépartement des sciences infirmières, Université du Québec en Outaouais, Saint-Jerôme, QC, Canada.ORCID https://orcid.org/0000-0002-4309-0478
Junqiang ZhaoSchool of Nursing, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0002-3295-5106
Marie-Pierre GagnonFaculté des sciences infirmières, Université Laval, Québec, QC, Canada.ORCID https://orcid.org/0000-0002-0782-5457
Josephine EtowaSchool of Nursing, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0003-2019-7958
University of Ottawa · CAUniversité du Québec en Outaouais · CAUniversité Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has had the greatest impact in long-term care facilities (LTCFs) by disproportionately harming older adults and heightening social isolation and loneliness (SIL). Living in close quarters with others and in need of around-the-clock assistance, interactions with older adults, which were previously in person, have been replaced by virtual chatting using information and communication technologies (ICTs). ICT applications such as FaceTime, Zoom, and Microsoft Teams video chatting have been overwhelmingly used by families to maintain residents' social capital and subsequently reduce their SIL.

objectiveBecause of the lack of substantive knowledge on this ever-increasing form of social communication, this systematic review intends to synthesize the effects of ICT interventions to address SIL among residents in LTCFs during the COVID-19 period.

methodsWe will include studies published in Chinese, English, and French from December 2019 onwards. Beyond the traditional search strategy approach, 4 of the 12 electronic databases to be queried will be in Chinese. We will include quantitative and intervention studies as well as qualitative and mixed methods designs. Using a 2-person approach, the principal investigator and one author will blindly screen eligible articles, extract data, and assess risk of bias. In order to improve the first round of screening, a pilot-tested algorithm will be used. Disagreements will be resolved through discussion with a third author. Results will be presented as structured summaries of the included studies. We plan to conduct a meta-analysis if sufficient data are available.

resultsA total of 1803 articles have been retrieved to date. Queries of the Chinese databases are ongoing. The systematic review and subsequent manuscript will be completed by the fall of 2022.

conclusionsICT applications have become a promising avenue to reduce SIL by providing a way to maintain communication between LTCF residents and their families and will certainly remain in the post-COVID-19 period. This review will investigate and describe context-pertinent and high-quality programs and initiatives to inform, at the macro level, policy makers and researchers, frontline managers, and families. These methods will remain relevant in the post-COVID-19 era. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/36269.

Indexed as

aginghealth carehealthcarehealthcare sectorICT, long-term care facilities, COVID-19, social isolation, loneliness, pandemic, implementation sciences, protocolinformation technologylong-term caremental healthnursing homeolder adultsvirtual carevirtual communication

Identifiers

PMID35275841
PMCPMC8955240
OpenAlexW4212766874

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.