Evidence map›Paper›PMID 24247995›Full record

ArticleInternational journal of environmental research and public health2013

Attitudes of COPD patients towards tele-rehabilitation: a cross-sector case study.

Birthe Dinesen, Lotte Huniche, Egon Toft

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
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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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

3 authors.

Birthe DinesenTelehealth Laboratory, Integrative Neuroscience Research Group, Center for Sensory-Motor Interaction, Department of Health Science and Technology, Faculty of Medicine, Aalborg University, Fredrik Bajers Vej 7 D3, Aalborg DK-9220, Denmark. bid@hst.aau.dk.
Lotte Huniche
Egon Toft

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this paper is to describe patients' attitudes towards tele-rehabilitation in the Danish TELEKAT (for Telehomecare, Chronic Patients and the Integrated Healthcare System) project, in order to better understand patients' behavior when performing tele-rehabilitation activities in home surroundings. A total of 111 COPD patients were included in the study, and they were randomized into an intervention group (n = 60) and a control group (n = 51). However, a non-randomized design was used to analyze the qualitative perspectives of the patients' attitudes towards tele-rehabilitation. From the intervention group, 22 COPD patients were selected for qualitative interviews and participant observation in their homes. The theoretical framework for this study is based on learning theory and the "communities of practice" approach inspired by Etienne Wenger. COPD patients exhibit four types of attitudes about their tele-rehabilitation: indifference, learning as part of situations in everyday life, feeling of security and motivation for performing physical training. The patients express the view that they circulate between these attitudes depending on their physical and emotional state as they perform their training. The COPD patients and healthcare professionals have created a community of tele-rehabilitation across sectors, exchanging experiences, stories and strategies for how to manage rehabilitation in home surroundings.

Indexed as

AttitudeHome Care ServicesPatient Acceptance of Health CareTelemedicineCase-Control StudiesDenmarkLearningPulmonary Disease, Chronic ObstructiveSurveys and Questionnaires

Identifiers

PMID24247995
PMCPMC3863894

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.