Evidence map›Paper›PMID 41327314›Full record

ArticleBMC health services research2025

An examination of data management in digital health processes from a societal perspective.

Mehmet Yorulmaz, Mehmet Avdan

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mehmet YorulmazDepartment of Health Management, Faculty of Health Sciences, Selcuk University, Konya, Turkey.ORCID http://orcid.org/0000-0001-6670-165X
Mehmet AvdanDepartment of Health Management, Faculty of Health Sciences, Istanbul Medipol University, Istanbul, Turkey. mehmet.avdan@medipol.edu.tr.ORCID http://orcid.org/0000-0003-3425-0641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study examines how digital health technologies influence individuals’ perceptions of data management and their attitudes toward the use of these technologies in healthcare. It particularly focuses on the societal determinants shaping engagement with digital health in Turkey.

methodsA total of 503 participants aged 18–64 from different regions of Turkey were included. Data were collected using the Data Management in Digital Health Environments Scale developed by Demirci and Yardan (2023), which comprises five subdimensions—benefit and satisfaction, security, sharing, privacy, and usability. A quantitative research design was adopted. Statistical analyses, including multiple regression and one-way ANOVA, were performed. Education, income, and employment status were treated as independent variables, while attitudes toward digital health technologies and perceptions of data management served as dependent variables.

resultsMultiple regression analysis indicated that the perceived potential of digital health technologies to improve healthcare quality was not a significant predictor of individuals’ attitudes toward these technologies (p > 0.05). ANOVA results showed that higher-income participants were significantly more likely to use digital health technologies (p < 0.01). Employment status also had a significant effect on data management perceptions (p < 0.05): employed individuals reported more frequent technology use, whereas students demonstrated stronger data management awareness. Younger participants expressed more positive attitudes than older adults (p < 0.01). The duration of internet use also emerged as a key factor influencing adaptation to digital health tools.

conclusionsThe findings suggest that sociodemographic factors substantially shape individuals’ engagement with digital health services. These results highlight the importance of developing inclusive policies that enhance digital health literacy and equitable access, ensuring that digital transformation benefits all segments of society.

Indexed as

Attitude to ComputersDigital HealthAdolescentAdultDigital MediaFemaleHumansMaleMiddle AgedSocioeconomic FactorsSurveys and QuestionnairesTurkeyYoung AdultData managementDigital health technologiesHealthcare servicesInternet usage habits

Identifiers

PMID41327314
PMCPMC12777352

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.