Evidence map›Paper›PMID 36597539›Full record

ArticleResearch square2020

Technology-Based Interventions for Nursing Home Residents: Implications for Nursing Home Practice Amid and Beyond the Influence of COVID-19: A Systematic Review Protocol.

Zhaohui Su, Kylie Meyer, Yue Li, Dean McDonnell, Nitha Mathew Joseph, Xiaoshan Li, Yan Du, Shailesh Advani, Ali Cheshmehzangi, Junaid Ahmad and 3 more

Abstract readPreprint
In one paragraph

Article in Research square, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Zhaohui SuUniversity of Texas Health Science Center at San Antonio.ORCID 0000-0003-2005-9504
Kylie MeyerUniversity of Texas Health Science Center at San Antonio.
Yue LiUniversity of Rochester Medical Center.
Dean McDonnellInstitute of Technology Carlow.
Nitha Mathew JosephUniversity of Texas Health Science Center at Houston.
Xiaoshan LiBeijing Normal University-Hong Kong Baptist University United International College.
Yan DuUniversity of Texas Health Science Center at San Antonio.
Shailesh AdvaniNational Institute of Health.
Ali CheshmehzangiUniversity of Nottingham.
Junaid AhmadPeshawar Medical College.
Claudimar Pereira da VeigaUniversidade Federal do Parana.
Roger Yat-Nork ChungUniversity of Hong Kong.
Jing WangUniversity of Texas Health Science Center at San Antonio.

Funding

NRSA Training Core (TL1)TL1TR002647 · NCATS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CHUN, YONG-HEE PATRICIA, FREI, CHRISTOPHER R. · 2018 to 2022
$1.8M
Alternative splicing of ameloblastin in enamel formationR21DE030603 · NIDCR · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CHUN, YONG-HEE PATRICIA · 2021 to 2022
$426k
NCATS NIH HHS TL1 TR002647NIDCR NIH HHS R21 DE030603
6 · The paper itself

Abstract

Background: A growing number of technology-based interventions are used to support the health and quality of life of nursing home residents. The onset of COVID-19 and recommended social distancing policies that followed led to an increased interest in technology-based solutions to provide healthcare and promote health. Yet, there are no comprehensive resources on technology-based healthcare solutions that describe their efficacy for nursing home residents. This systematic review will identify technology-based interventions designed for nursing home residents and describe the characteristics and effects of these interventions concerning the distinctive traits of nursing home residents and nursing facilities. Additionally, this paper will present practical insights into the varying intervention approaches that can assist in the delivery of broad digital health solutions for nursing home residents amid and beyond the impact of COVID-19. Methods: Databases including PubMed, PsycINFO, CINAHL, and Scopus will be used to identify articles related to technology-based interventions for nursing home residents published between January 1 Results: NA-protocol study. Conclusions: Our study will fill critical gaps in the literature by providing a review of technology-based interventions tested in the nursing home setting. As the older adult population grows, there is an urgent need to identify effective technology-based interventions that can address the distinctive characteristics and preferences of nursing home residents. Clear and comprehensive understanding of how available technology-based health solutions facilitate healthcare for nursing home residents will shed light on the approaches open to residents to fend off the negative health consequences amid and beyond the influence of COVID-19. Systematic Review Registrations: PROSPERO CRD 42020191880.

Indexed as

COVID-19novel coronavirusnursing home residentsolder adultsSARS-CoV2socio-ecological modeltechnology-based interventionsunderserved populations

Identifiers

PMID36597539
PMCPMC7444297

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.