Beyond Known Barriers—Assessing Physician Perspectives and Attitudes Toward Introducing Open Health Records in Germany: Qualitative Study
Notice bibliographique
Résumé
BACKGROUND: Giving patients access to their medical records (ie, open health records) can support doctor-patient communication and patient-centered care and can improve quality of care, patients' health literacy, self-care, and treatment adherence. In Germany, patients are entitled by law to have access to their medical records. However, in practice doing so remains an exception in Germany. So far, research has been focused on organizational implementation barriers. Little is known about physicians' attitudes and perspectives toward opening records in German primary care. OBJECTIVE: This qualitative study aims to provide a better understanding of physicians' attitudes toward opening records in primary care in Germany. To expand the knowledge base that future implementation programs could draw from, this study focuses on professional self-conception as an influencing factor regarding the approval for open health records. Perspectives of practicing primary care physicians and advanced medical students were explored. METHODS: Data were collected through semistructured guide-based interviews with general practitioners (GPs) and advanced medical students. Participants were asked to share their perspectives on open health records in German general practices, as well as perceived implications, their expectations for future medical records, and the conditions for a potential implementation. Data were pseudonymized, audiotaped, and transcribed verbatim. Themes and subthemes were identified through thematic analysis. RESULTS: Barriers and potential advantages were reported by 7 GPs and 7 medical students (N=14). The following barriers were identified: (1) data security, (2) increased workload, (3) costs, (4) the patients' limited capabilities, and (5) the physicians' concerns. The following advantages were reported: (1) patient education and empowerment, (2) positive impact on the practice, and (3) improved quality of care. GPs' professional self-conception influenced their approval for open records: GPs considered their aspiration for professional autonomy and freedom from external control to be threatened and their knowledge-based support of patients to be obstructed by open records. Medical students emphasized the chance to achieve shared decision making through open records and expected the implementation to be realistic in the near future. GPs were more hesitant and voiced a strong resistance toward sharing notes on perceptions that go beyond clinical data. Reliable technical conditions, the participants' consent, and a joint development of the implementation project to meet the GPs' interests were requested. CONCLUSIONS: Open health record concepts can be seen as a chance to increase transparency in health care. For a potential future implementation in Germany, thorough consideration regarding the compatibility of GPs' professional values would be warranted. However, the medical students' positive attitude provides an optimistic perspective. Further research and a broad support from decision makers would be crucial to establish open records in Germany.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,011 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,006 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».