Evidence map›Paper›PMID 38277209›Full record

ArticleJMIR formative research2024

Telephone-Based Training Intervention for Using Digital Communication Technologies for Social Housing Residents During the COVID-19 Pandemic: Mixed Methods Feasibility and Acceptability Evaluation.

Tim Walker, Sarah Ann Buckingham, Ria Poole, Lewis Roland Elliott, Tamaryn Menneer, Gengyang Tu, Karyn Morrissey

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2024. 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
0.6field-weighted citation impact, top 31% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

7 authors at 3 institutions in 3 countries.

Tim WalkerEuropean Centre for Environment and Human Health, University of Exeter Medical School, Truro, United Kingdom.ORCID https://orcid.org/0000-0002-0185-5604
Sarah Ann BuckinghamEuropean Centre for Environment and Human Health, University of Exeter Medical School, Truro, United Kingdom.ORCID https://orcid.org/0000-0003-2215-5516
Ria PooleEuropean Centre for Environment and Human Health, University of Exeter Medical School, Truro, United Kingdom.ORCID https://orcid.org/0000-0002-1173-5489
Lewis Roland ElliottEuropean Centre for Environment and Human Health, University of Exeter Medical School, Truro, United Kingdom.ORCID https://orcid.org/0000-0003-3864-9465
Tamaryn MenneerEuropean Centre for Environment and Human Health, University of Exeter Medical School, Truro, United Kingdom.ORCID https://orcid.org/0000-0001-8575-6867
Gengyang TuInternational Business School Suzhou, Xi'an Jiaotong-Liverpool University, Suzhou, China.ORCID https://orcid.org/0000-0002-0725-7461
Karyn MorrisseyDepartment of Technology, Management and Economics, Technical University of Denmark, Lyngby, Denmark.ORCID https://orcid.org/0000-0001-7259-1047
University of Exeter · GBTechnical University of Denmark · DKXi’an Jiaotong-Liverpool University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn an era in which digital communication technologies play a pivotal role in everyday life, social housing residents remain highly susceptible to digital exclusion.

objectiveThis study aims to evaluate the feasibility and acceptability of a telephone-based training intervention designed to empower people to confidently use digital communication technologies (ie, video calls and web-based messaging).

methodsConducted in collaboration with a UK social housing association, the intervention was facilitated by a unitary authority's Digital Inclusion Team during the COVID-19 pandemic. A mixed methods approach was used, encompassing quantitative and qualitative data collection on demand, reach, implementation, and potential outcomes. Demographic and qualitative data on the reasons for undertaking or not undertaking the training were collected via telephone interviews during the recruitment process. Digital competency and well-being data were collected via a self-reported survey before and after the intervention.

resultsAmong the 4485 residents who were offered training, 67 (1.49%) expressed interest, of whom 12 (18%) of the 67 completed the training. The findings indicate a demand for basic digital training among social housing residents. The key findings revolve around the substantial dropout rate among those who were interested in undertaking the training. Barriers were strongly influenced by socioeconomic and health circumstances, reflecting the sociodigital inequalities commonly found in this group. For the training participants, the intervention was acceptable and achieved its goals, demonstrating the potential of tailored, persistent training efforts in overcoming barriers. There were no changes in self-reported well-being or digital competency outcomes (but this was limited by the small sample size).

conclusionsSociodigital inequalities impact the reach, implementation, and acceptability of telephone-based digital training for social housing residents. Barriers to reaching and training digitally excluded groups can be overcome through the use of trusted intermediaries, personalized recruitment approaches, the minimization of administrative barriers, and tailored and agile training programs. Recognizing the resource-intensive nature of such initiatives, this study calls for enhanced recognition of intermediary efforts in national digital inclusion policies.

Indexed as

acceptabilitycommunication technologiesdigital trainingfeasibilitymobile phonesocial housingsociodigital inequalitiestelephone-based

Identifiers

PMID38277209
PMCPMC10858426
OpenAlexW4391263025

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.