Evidence map›Paper›PMID 34677130›Full record

ArticleJMIR cardio2021

Values of Importance to Patients With Cardiovascular Disease as a Foundation for eHealth Design and Evaluation: Mixed Methods Study.

Britt E Bente, Jobke Wentzel, Rik Gh Groeneveld, Renée Vh IJzerman, David R de Buisonjé, Linda D Breeman, Veronica R Janssen, Roderik Kraaijenhagen, Marcel E Pieterse, Andrea Wm Evers and 1 more

Abstract read
In one paragraph

Article in JMIR cardio, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

11 authors.

Britt E BenteDepartment of Psychology, Health and Technology, Centre for eHealth and Wellbeing Research, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0002-9142-4946
Jobke WentzelDepartment of Psychology, Health and Technology, Centre for eHealth and Wellbeing Research, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0003-3897-4436
Rik Gh GroeneveldDepartment of Psychology, Health and Technology, Centre for eHealth and Wellbeing Research, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0002-5347-1119
Renée Vh IJzermanUnit of Health, Medical, and Neuropsychology, Faculty of Social and Behavioural Sciences, Leiden University, Leiden, Netherlands.ORCID https://orcid.org/0000-0002-2079-6814
David R de BuisonjéUnit of Health, Medical, and Neuropsychology, Faculty of Social and Behavioural Sciences, Leiden University, Leiden, Netherlands.ORCID https://orcid.org/0000-0002-7773-1130
Linda D BreemanUnit of Health, Medical, and Neuropsychology, Faculty of Social and Behavioural Sciences, Leiden University, Leiden, Netherlands.ORCID https://orcid.org/0000-0002-4441-2731
Veronica R JanssenUnit of Health, Medical, and Neuropsychology, Faculty of Social and Behavioural Sciences, Leiden University, Leiden, Netherlands.ORCID https://orcid.org/0000-0003-4113-6716
Roderik KraaijenhagenVital10, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0002-5102-0197
Marcel E PieterseDepartment of Psychology, Health and Technology, Centre for eHealth and Wellbeing Research, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0002-6900-3088
Andrea Wm Evers *NDDO Institute for Prevention and Early Diagnostics (NIPED), Amsterdam, Netherlands.ORCID https://orcid.org/0000-0002-0090-5091
Julia Ewc van Gemert-Pijnen *Department of Psychology, Health and Technology, Centre for eHealth and Wellbeing Research, University of Twente, Enschede, Netherlands.ORCID https://orcid.org/0000-0001-6511-7240

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundeHealth interventions are developed to support and facilitate patients with lifestyle changes and self-care tasks after being diagnosed with a cardiovascular disease (CVD). Creating long-lasting effects on lifestyle change and health outcomes with eHealth interventions is challenging and requires good understanding of patient values.

objectiveThe aim of the study was to identify values of importance to patients with CVD to aid in designing a technological lifestyle platform.

methodsA mixed method design was applied, combining data from usability testing with an additional online survey study, to validate the outcomes of the usability tests.

resultsA total of 11 relevant patient values were identified, including the need for security, support, not wanting to feel anxious, tailoring of treatment, and personalized, accessible care. The validation survey shows that all values but one (value 9: To have extrinsic motivation to accomplish goals or activities [related to health/lifestyle]) were regarded as important/very important. A rating of very unimportant or unimportant was given by less than 2% of the respondents (value 1: 4/641, 0.6%; value 2: 10/641, 1.6%; value 3: 9/641, 1.4%; value 4: 5/641, 0.8%; value 5: 10/641, 1.6%; value 6: 4/641, 0.6%; value 7: 10/639, 1.6%; value 8: 4/639, 0.6%; value 10: 3/636, 0.5%; value 11: 4/636, 0.6%) to all values except but one (value 9: 56/636, 8.8%).

conclusionsThere is a high consensus among patients regarding the identified values reflecting goals and themes central to their lives, while living with or managing their CVD. The identified values can serve as a foundation for future research to translate and integrate these values into the design of the eHealth technology. This may call for prioritization of values, as not all values can be met equally.

Indexed as

appbehaviorcardiovascularcardiovascular diseasedesigneHealthevaluationhealth behaviorinterventionlifestylemobile apppatient valuesplatformsupportuser-centered design

Identifiers

PMID34677130
PMCPMC8571692

What OpenQuestion holds

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LicenceCC BY
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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.