Evidence map›Paper›PMID 32503429›Full record

ArticleBMC geriatrics2020

Perceived risks, concession travel pass access and everyday technology use for out-of-home participation: cross-sectional interviews among older people in the UK.

Sophie Nadia Gaber, Louise Nygård, Anders Kottorp, Georgina Charlesworth, Sarah Wallcook, Camilla Malinowsky

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2020. 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
3.3field-weighted citation impact, top 7% 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, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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 2 countries.

Sophie Nadia GaberDepartment of Neurobiology, Care Sciences & Society (NVS), Division of Occupational Therapy, Karolinska Institutet, Fack 23 200, SE-141 83, Huddinge, Sweden. sophie.gaber@ki.se.ORCID 0000-0001-5804-0433
Louise NygårdDepartment of Neurobiology, Care Sciences & Society (NVS), Division of Occupational Therapy, Karolinska Institutet, Fack 23 200, SE-141 83, Huddinge, Sweden.ORCID 0000-0003-1813-7390
Anders KottorpDepartment of Neurobiology, Care Sciences & Society (NVS), Division of Occupational Therapy, Karolinska Institutet, Fack 23 200, SE-141 83, Huddinge, Sweden.ORCID 0000-0002-8976-2612
Georgina CharlesworthResearch Department of Clinical, Educational, and Health Psychology, University College London, London, UK.ORCID 0000-0002-5278-1756
Sarah WallcookDepartment of Neurobiology, Care Sciences & Society (NVS), Division of Occupational Therapy, Karolinska Institutet, Fack 23 200, SE-141 83, Huddinge, Sweden.ORCID 0000-0002-8861-7552
Camilla MalinowskyDepartment of Neurobiology, Care Sciences & Society (NVS), Division of Occupational Therapy, Karolinska Institutet, Fack 23 200, SE-141 83, Huddinge, Sweden.ORCID 0000-0002-6938-5282
Karolinska Institutet · SEMalmö University · SENorth East London NHS Foundation Trust · GB

Funding

Forskningsrådet om Hälsa, Arbetsliv och Välfärd (SE) 2013-2104H2020 Marie Skłodowska-Curie Actions 676265
6 · The paper itself

Abstract

backgroundThe health-promoting qualities of participation as an opportunity for social and cognitive engagement are well known. Use of Everyday Technology such as Smartphones or ATMs, as enabling or disabling factors for out-of-home participation is however under-researched, particularly among older people with and without dementia. Out-of-home participation involves participation in places and activities outside of a person's home, in public space. Situated within the context of an increasingly technological society, the study investigated factors such as perceived risks, access to a concession travel pass and use of Everyday Technologies, and their relationship with out-of-home participation, among older people in the UK.

methodsOne hundred twenty-eight older people with and without dementia in urban and rural environments in the UK, were interviewed using the Participation in ACTivities and Places OUTside Home (ACT-OUT) Questionnaire and the Everyday Technology Use Questionnaire (ETUQ). Associations between Everyday Technology use, perceived risk of falling, functional impairment, access to a concession travel pass and out-of-home participation were investigated using ordinal regression.

resultsA higher probability of Everyday Technology use (Odds Ratio [OR] = 1.492; 95% Confidence Interval [CI] = 1.041-1.127), perceived risk of falling outside home (OR = 2.499; 95% CI = 1.235-5.053) and, access to a concession travel pass (OR = 3.943; 95% CI = 1.970-7.893) were associated with a higher level of out-of-home participation. However, other types of risk (getting lost; feeling stressed or embarrassed) were not associated with out-of-home participation. Having a functional impairment was associated with a low probability of a higher level of out-of-home participation (OR = .470; 95% CI = .181-1.223). Across the sample, 'outside home' Everyday Technologies were used to a higher degree than 'portable' Everyday Technologies which can be used both in and outside home.

conclusionsThe study provides insights into perceived risks, access to a concession travel pass and use of Everyday Technologies, and their relationship with out-of-home participation, among older people in the UK. Increased knowledge about factors associated with out-of-home participation may help to guide targeted health and social care planning.

Indexed as

Activities of Daily LivingTechnologyAgedAged, 80 and overCross-Sectional StudiesHumansSurveys and QuestionnairesUnited KingdomActivities of daily livingDementiaEnvironmentOlder adultsRiskSocial participationTechnology

Identifiers

PMID32503429
PMCPMC7275447
OpenAlexW3033285283

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.