Evidence mapPaperPMID 38589922Full record

ArticleBMC health services research2024

How do opt-in versus opt-out settings nudge patients toward electronic health record adoption? An exploratory study of facilitators and barriers in Austria and France.

Anna Griesser, Manel Mzoughi, Sonja Bidmon, Emna Cherif

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Article in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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10citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Anna GriesserDepartment of Marketing and International Management, University of Klagenfurt, Klagenfurt Am Woerthersee, Austria.
Manel MzoughiICD Business School - LARA, Management Department, Lara, France.
Sonja BidmonDepartment of Marketing and International Management, University of Klagenfurt, Universitaetsstraße 65-67, Klagenfurt am Wörthersee, 9020, Austria. sonja.bidmon@aau.at.
Emna CherifUniversity Clermont Auvergne, IAE Clermont Auvergne School of Management - CleRMa, Research Chair "Health and Territories", Clermont-Ferrand, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic health records (EHR) are becoming an integral part of the health system in many developed countries, though implementations and settings vary across countries. Some countries have adopted an opt-out policy, in which patients are enrolled in the EHR system following a default nudge, while others have applied an opt-in policy, where patients have to take action to opt into the system. While opt-in systems may exhibit lower levels of active user requests for access, this contrasts with opt-out systems where a notable percentage of users may passively retain access. Thus, our research endeavor aims to explore facilitators and barriers that contribute to explaining EHR usage (i.e., actively accessing the EHR system) in two countries with either an opt-in or opt-out setting, exemplified by France and Austria.

methodsA qualitative exploratory approach using a semi-structured interview guideline was undertaken in both countries: 1) In Austria, with four homogenously composed group discussions, and 2) in France, with 19 single patient interviews. The data were collected from October 2020 to January 2021.

resultsInfluencing factors were categorized into twelve subcategories. Patients have similar experiences in both countries with regard to all facilitating categories, for instance, the role of health providers, awareness of EHR and social norms. However, we highlighted important differences between the two systems regarding hurdles impeding EHR usage, namely, a lack of communication as well as transparency or information security about EHR.

conclusionImplementing additional safeguards to enhance privacy protection and supporting patients to improve their digital ability may help to diminish the perception of EHR-induced barriers and improve patients' health and commitment in the long term. PRACTICAL IMPLICATIONS: Understanding the differences and similarities will help to develop practical implications to tackle the problem of low EHR usage rates in the long run. This problem is prevalent in countries with both types of EHR default settings.

Indexed as

CommunicationElectronic Health RecordsAustriaHumansPatientsPrivacyAustriaBarriersElectronic health recordFacilitatorsFranceOpt-in and opt-out nudgeQualitative study

Identifiers

PMID38589922
PMCPMC11003073

What Socratic holds

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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 Socratic graph.