Evidence map›Paper›PMID 42142039›Full record

ArticleJournal of nursing management2026

Usability and Behavioral Intention in Quasimandatory National Digital Health Systems: The Mediating Role of E-Satisfaction.

Burhan Kılıç, Yakup Durmaz

Abstract read
In one paragraph

Article in Journal of nursing management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Burhan KılıçIndependent Researcher, Gaziantep, Turkey.ORCID https://orcid.org/0000-0002-8995-258X
Yakup DurmazDepartment of Marketing, Kilis 7 Aralık University, Faculty of Economics and Administrative Sciences-Kilis, Kilis, Turkey, kilis.edu.tr.ORCID https://orcid.org/0000-0003-0332-4185

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid expansion of national digital health infrastructures has transformed the way citizens interact with healthcare systems. However, the long-term success of these platforms depends not only on technological implementation but also on users' perceptions and continued engagement. This study investigates how the usability of a national mobile health application influences users' behavioral intention through the mediating role of e-satisfaction. Drawing on usability and technology acceptance literature, the study proposes a research model in which the perceived usability of a mobile health application positively affects users' behavioral intention both directly and indirectly via e-satisfaction. Empirical data were collected from users of the Turkish national digital health platform e-Nabız through a structured survey. The proposed research model was tested using structural equation modeling techniques. The results indicate that mobile health application usability significantly enhances users' e-satisfaction, which in turn positively influences behavioral intention, including recommendation intention and continued preference intention. Interestingly, the analysis revealed that even negative usability perceptions were associated with increased e-satisfaction, likely reflecting the quasimandatory nature of the platform, where functional necessity and perceived value can outweigh usability difficulties. The findings also demonstrate the mediating role of e-satisfaction in the relationship between usability and behavioral intention. By focusing on a large-scale national digital health platform, this study contributes to the growing literature on digital health adoption by highlighting the importance of usability-driven user experience in quasimandatory digital health systems. The results provide practical insights for policymakers and digital health system designers seeking to improve citizen engagement and long-term utilization of national digital health infrastructures.

Indexed as

IntentionPersonal SatisfactionAdultDigital HealthFemaleHumansMaleMiddle AgedMobile ApplicationsSurveys and QuestionnairesTurkeyUser-Computer Interfacebehavioral intentione-Nabızmobile healthsatisfactionusability

Identifiers

PMID42142039
PMCPMC13179679

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.