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

BACKGROUND

Electronic 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.

METHODS

A 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.

RESULTS

Influencing 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.

CONCLUSION

Implementing 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.

Electronic health record adopters: a typology based on patients' privacy concerns and perceived benefits

OBJECTIVES

Patients' adoption of electronic health records (EHRs) varies substantially. Although some countries, such as Estonia and Denmark, are sufficiently advanced in terms of EHR generalisation, others, such as France, are figuring out how to implement and disseminate EHRs. These governments must respond to patients' disparities to achieve the expected performance for healthcare systems and improve the quality of care delivery. This study investigates patients' perceived benefits and privacy concerns related to EHRs to develop a typology of patients, identify the characteristics of different clusters and propose practical measures for public policy-makers.

STUDY DESIGN

We conducted a cross-sectional study using online questionnaires.

METHODS

An online quantitative survey was carried out in France. The final sample of EHR non-users (N = 1076) was fitted to be representative of the French population by age and gender, region and socioprofessional status. Hierarchical and non-hierarchical cluster analyses were performed. Several robustness check analyses were also performed.

RESULTS

Cluster analyses identified four patient clusters: the worried, who show the highest mean privacy concern and risk levels related to health data disclosure; the ready adopters, who lack privacy concerns and risk and are the most motivated by EHR benefits; the concerned adopters, who express far fewer privacy concerns and perceive EHR benefits more favourably than the worried adopters; and the balanced adopters, who are relatively similar to the ready adopters in their EHR motives and are still concerned about their health data, suggesting a segment that is easier to convince. Comparing clusters regarding the intentions to create EHRs and willingness to disclose health data confirms that ready adopters, followed by balanced adopters, are more likely to create an EHR and disclose health data. The concerned adopters and, finally, the worried exhibit the lowest intentions for EHR creation and data disclosure.

CONCLUSIONS

The results provide meaningful insights into patient profiles and expectations. The findings underscore the need to implement targeting policies for each cluster and design concrete solutions for improving EHR performance.