Evidence map›Paper›PMID 38239278›Full record

ArticleFrontiers in digital health2023

Investigating shared decision-making during the use of a digital health tool for physical activity planning in cardiac rehabilitation.

Daniela Wurhofer, Julia Neunteufel, Eva-Maria Strumegger, Isabel Höppchen, Barbara Mayr, Andreas Egger, Mahdi Sareban, Bernhard Reich, Michael Neudorfer, Josef Niebauer and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
10.2field-weighted citation impact, top 2% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Daniela WurhoferLudwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Julia NeunteufelLudwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Eva-Maria StrumeggerLudwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Isabel HöppchenLudwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Barbara MayrUniversity Institute of Sports Medicine, Prevention and Rehabilitation and Research Institute of Molecular Sports Medicine and Rehabilitation, Paracelsus Medical University, Salzburg, Austria.
Andreas EggerUniversity Institute of Sports Medicine, Prevention and Rehabilitation and Research Institute of Molecular Sports Medicine and Rehabilitation, Paracelsus Medical University, Salzburg, Austria.
Mahdi SarebanLudwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Bernhard ReichUniversity Institute of Sports Medicine, Prevention and Rehabilitation and Research Institute of Molecular Sports Medicine and Rehabilitation, Paracelsus Medical University, Salzburg, Austria.
Michael NeudorferUniversity Institute of Sports Medicine, Prevention and Rehabilitation and Research Institute of Molecular Sports Medicine and Rehabilitation, Paracelsus Medical University, Salzburg, Austria.
Josef NiebauerLudwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Jan David SmeddinckLudwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Stefan Tino KulnikLudwig Boltzmann Institute for Digital Health and Prevention, Salzburg, Austria.
Austrian Institute for Health Technology Assessment GmbH · ATParacelsus Medical University · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Shared decision making (SDM) between healthcare professionals and persons with CVD can have a positive impact on motivation, adherence, or sustainability regarding long-term goals and integration of cardiovascular disease (CVD) rehabilitation in the everyday lives of persons with CVD. SDM can foster the transition between regular heart-healthy activity at rehabilitation facilities and more independent activity at home, but it is often challenging to implement SDM given limited time and resources, e.g., in the daily practice of rehabilitation. Digital tools can help but must be appropriately tailored for situated use and user needs. Objective: We aimed to (1) describe in how far SDM is manifested in the situated context when using a digital tool developed by our group, and, based on that, (2) reflect on how digital health tools can be designed to facilitate and improve the SDM process. Methods: In the context of a field study, we investigated how SDM is already naturally applied and manifested when using a digital tool for joint physical activity planning in cardiac rehabilitation in clinical practice. In a two-week qualitative study, we collected data on expectations, experiences and interactions during the use of a digital health tool by seven persons with CVD and five healthcare professionals. Data was collected by means of observations, interviews, questionnaires and a self-reported diary, and analysed with a particular focus on episodes related to SDM. Results: We found that SDM was manifested in the situated context to limited extent. For example, we identified high improvement potential for more structured goal-setting and more explicit consideration of preferences and routines. Based on mapping our findings to temporal phases where SDM can be adopted, we highlight implications for design to further support SDM in clinical practice. We consider this as "SDM supportive design in digital health apps," suggesting for example step-by-step guidance to be used during the actual consultation. Conclusion: This study contributes to further understanding and integration of SDM in digital health tools with a focus on rehabilitation, to empower and support both persons with CVD and healthcare professionals.

Indexed as

behaviour changecardiac rehabilitationdigital healthexercise planningmHealthmobile healthphysical activityshared decision-making

Identifiers

PMID38239278
PMCPMC10794499
OpenAlexW4390602088

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.