Evidence map›Paper›PMID 31915866›Full record

ReviewBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2020

[Participatory development of digital public health: tension between user perspectives and evidence].

Tina Jahnel, Benjamin Schüz

Abstract readReview
PubMed Publisher
In one paragraph

Review in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-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

11 citing papers in PubMed, 25 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

2 authors at 2 institutions in 2 countries.

Tina JahnelCollege of Health and Medicine, University of Tasmania, Private Bag 34, 7001, Hobart, Australien. tina.jahnel@utas.edu.au.
Benjamin SchüzInstitut für Public Health und Pflegeforschung, Universität Bremen, Bremen, Deutschland.
University of Bremen · DEUniversity of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital public health promises not only more comprehensive medical care, but also individual health promotion and support for positive lifestyle changes. Mobile digital health devices and services, also called mobile health (mHealth), play a key role in this. They include health-specific hardware and software applications such as smartphone apps and wearable technology for recording, monitoring, and evaluating specific health parameters. Although there is scientific evidence for the effectiveness of individual applications, most often applications are used for a relatively short amount of time. In order to achieve a higher acceptance and utilization rate, evidence is needed that is more practice oriented.This paper explains how participatory development approaches take into account the individual needs and preferences of users and can improve the quality and effectiveness of mHealth services. The sociodemographic characteristics of the target group as well as individual, social, linguistic, and cultural barriers should be considered. The wishes of users, for example personalization, transmission of real-time information, and transparency in terms of privacy should also be considered. In the co-design approach, users are therefore included directly in the product concept. However, the study situation is still limited and there are no methodical approaches.In order to increase the use of mHealth services in the future, participation processes should be systematized. In addition, a framework for classification and certification as well as procedures for promoting effective applications should be developed.

Indexed as

Mobile ApplicationsPublic HealthTelemedicineDelivery of Health CareGermanyHealth PromotionHumansCodesignEfficacyHealth appsIndividual preferencesmHealth

Identifiers

PMID31915866
OpenAlexW3000199122

What OpenQuestion holds

Textmetadata
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.