Academic Journal

Patient-Generated Health Data Elements: Developing a Data Model for Preference-Sensitive Conditions.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Patient-Generated Health Data Elements: Developing a Data Model for Preference-Sensitive Conditions.
Συγγραφείς: Vahteristo A; Department of Health and Social Management, University of Eastern Finland, Finland., Rosenlund M; Department of Health and Social Management, University of Eastern Finland, Finland., Reinikainen N; Department of Health and Social Management, University of Eastern Finland, Finland., Jylhä V; Department of Health and Social Management, University of Eastern Finland, Finland.; Research Centre for Nursing Science and Social and Health Management, Kuopio University Hospital, Wellbeing Services County of North Savo, Finland., Kuusisto H; Department of Health and Social Management, University of Eastern Finland, Finland.; Tampere University Hospital, Finland.
Πηγή: Studies in health technology and informatics [Stud Health Technol Inform] 2025 Aug 07; Vol. 329, pp. 440-444.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Imprint Name(s): Original Publication: Amsterdam ; Washington, DC : IOS Press, 1991-
Ιατρικοί όροι (MeSH): Multiple Sclerosis*/therapy , Epilepsy*/therapy , Patient Preference*/statistics & numerical data , Patient Generated Health Data* , Patient Participation* , Decision Making, Shared*, Humans ; Female ; Male
Περίληψη: Patient-generated health data (PGHD) refers to data generated by or from patients. Most often, PGHD is verbal and written, but today, it is increasingly digital. PGHD is considered crucial in shared decision-making (SDM), fostering patient empowerment and patients' active participation in health management. Studies have shown that SDM is especially valuable in preference-sensitive conditions such as multiple sclerosis (MS) and epilepsy. This study aimed to enhance the understanding of PGHD elements among people with epilepsy or MS (pwE/MS) by investigating PGHD currently shared and wished to be shared with healthcare professionals (HCPs). We found that pwE/MS consider numerous types of PGHD to be important in decision-making concerning the care. However, there are indications that pwE/MS are lacking the possibility to transmit data digitally. Development of digital health services could facilitate the integration of PGHD into care, but its meaningful use in SDM requires greater recognition and engagement by HCPs.
Contributed Indexing: Keywords: health data; patient-generated data
Entry Date(s): Date Created: 20250808 Date Completed: 20250808 Latest Revision: 20250808
Update Code: 20260130
DOI: 10.3233/SHTI250878
PMID: 40775896
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:1879-8365
DOI:10.3233/SHTI250878