Evidence map›Paper›PMID 41055048›Full record

ArticleJournal of medical Internet research2025

Adoption of Personal Health Records in Dutch Hospitals and Private Medical Clinics: Longitudinal Study.

Doris van der Smissen, Christine Leenen-Brinkhuis, Kim M E Janssens, Petra J Porte, Marcel A L M van Assen, Anne Marie Weggelaar-Jansen

Abstract read
In one paragraph

Article in Journal of medical Internet 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
–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

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

6 authors.

Doris van der SmissenTranzo, Scientific Center for Care and Wellbeing, Tilburg School of Social and Behavioral Sciences, Tilburg University, Postbus 90153, Tilburg, 5000 LE, The Netherlands, 31 31134662969.ORCID http://orcid.org/0000-0003-2363-9416
Christine Leenen-BrinkhuisDutch Hospital Association, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-3560-3229
Kim M E JanssensTranzo, Scientific Center for Care and Wellbeing, Tilburg School of Social and Behavioral Sciences, Tilburg University, Postbus 90153, Tilburg, 5000 LE, The Netherlands, 31 31134662969.ORCID http://orcid.org/0000-0002-6625-3516
Petra J PorteErasmus School of Health Policy and Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0003-0228-1013
Marcel A L M van AssenDepartment of Methodology and Statistics, Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, The Netherlands.ORCID http://orcid.org/0000-0002-7517-6081
Anne Marie Weggelaar-JansenTranzo, Scientific Center for Care and Wellbeing, Tilburg School of Social and Behavioral Sciences, Tilburg University, Postbus 90153, Tilburg, 5000 LE, The Netherlands, 31 31134662969.ORCID http://orcid.org/0000-0002-7786-6326

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Personal health records (PHRs) allow patients to monitor, track, and manage their health, improve patient-provider communication, and enable the collection, management, and use of health data from various health care organizations. Despite their potential to empower patients and facilitate health care professionals' practices, PHR adoption remains challenging. Objective: This study aims to examine longitudinal PHR adoption in Dutch general hospitals, academic hospitals, and private medical clinics. Methods: We studied PHR adoption using the Technology Adoption and Readiness Scale (TARS) over time. TARS evaluates eHealth adoption, implementation, and embedment in organizations. It includes 7 subscales: coherence (sense-making and understanding of the new practice), cognitive participation (engagement with the new practice), contextual integration (integrating the new practice in the organization's overall goals and structure), skill set workability (integrating with existing working practices and skills), relational integration (the fit with existing professional relationships), interactional workability (whether the practice enables interactions), and reflexive monitoring (appraisal of the new practice). The TARS consists of 32 statements using a 6-point Likert scale ranging from completely disagree to completely agree. After each TARS statement, participants had the opportunity to explain their answer (optional open question). Contact persons per organization of a national program completed the questionnaire in the autumn of 2021 (n=143), 2022 (n=131), and 2023 (n=101). Mixed-model analysis using IBM SPSS was done for the quantitative data and content analysis was done for the qualitative data. Results: Significant improvements in coherence (P<.001), cognitive participation (P=.01), and skill set workability (P=.02) were observed over time. Conversely, interactional workability showed a significant decline (P=.01). No changes were observed for relational integration (P=.06) and reflexive monitoring (P=.77). The development of contextual integration differed over time between the different types of organizations (P<.001); in private medical clinics, contextual integration decreased, while it increased in both general and academic hospitals. General hospitals consistently scored lower on coherence, cognitive participation, and reflexive monitoring compared to private medical clinics. Qualitative analysis indicated that communication about PHRs improved sense-making and increased professional engagement and commitment. Barriers to adoption included technical issues, financial constraints, concerns about the digital skills of patients and professionals, and privacy and data security concerns. Conclusions: From 2021 to 2023, PHR adoption improved in general hospitals, academic hospitals, and private medical clinics in the Netherlands within several domains of PHR adoption. However, several barriers remained, including technical barriers, financial constraints, and privacy and security concerns. To overcome these barriers, the technical integration of available data from the electronic health record within the PHR should be improved and privacy-related issues should be resolved. Consistent communication about the potential of PHRs is required to increase the awareness that will enhance both PHR engagement and adoption by the target groups, patients, and health care professionals.

Indexed as

Electronic Health RecordsHealth Records, PersonalHospitalsAdultFemaleHumansLongitudinal StudiesMaleNetherlandsadoptionadoption processeseHealthlongitudinal studypatient portalspersonal health recordsTARSTechnology Adoption and Readiness Scale

Identifiers

PMID41055048
PMCPMC12501903

What OpenQuestion holds

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LicenceCC BY
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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.