Evidence map›Paper›PMID 31774410›Full record

ArticleJournal of medical Internet research2019

Connected Health User Willingness to Share Personal Health Data: Questionnaire Study.

Maria Karampela, Sofia Ouhbi, Minna Isomursu

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  19. Utility, barriers and facilitators to the use of connected health to support families impacted by paediatric cancer: a qualitative analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
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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.

Maria KarampelaIT University of Copenhagen, Copenhagen S, Denmark.ORCID 0000-0002-1352-8790
Sofia OuhbiUnited Arab Emirates University, Al Ain, United Arab Emirates.ORCID 0000-0001-7614-9731
Minna IsomursuUniversity of Oulu, Oulu, Finland.ORCID 0000-0002-0161-1837

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConnected health has created opportunities for leveraging health data to deliver preventive and personalized health care services. The increasing number of personal devices and advances in measurement technologies contribute to an exponential growth in digital health data. The practices for sharing data across the health ecosystem are evolving as there are more opportunities for using such data to deliver responsive health services.

objectiveThe objective of this study was to explore user attitudes toward sharing personal health data (PHD). The study was executed within the first year after the implementation of the new General Data Protection Regulation (GDPR) legal framework.

methodsThe authors analyzed the results of an online questionnaire survey to explore the willingness of 8004 people using connected health services across four European countries to share their PHD and the conditions under which they would be willing to do so.

resultsOur findings indicate that the majority of users are willing to share their personal PHD for scientific research (1811/8004, 22.63%). Age, education level, and occupation of the participants, in addition to the level of digitalization in their country were found to be associated with data sharing attitudes.

conclusionsPositive attitudes toward data sharing for scientific research can be perceived as an indication of trust established between users and academia. Nevertheless, the interpretation of data sharing attitudes is a complex process, related to and influenced by various factors.

Indexed as

AdolescentAdultAgedFemaleHealth Records, PersonalHumansInformation DisseminationMaleMiddle AgedResearch DesignSurveys and QuestionnairesYoung Adultconnected healthdata sharingpersonal health dataquestionnaire

Identifiers

PMID31774410
PMCPMC6906622

What OpenQuestion holds

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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.