Stud Health Technol Inform
August 2024
Shared decision making (SDM) is based on the clinical expertise of healthcare professionals and patients' preferences and values. Digital health services may offer new possibilities for patient-generated data e.g.
View Article and Find Full Text PDFAims: The aim of this study was to assess the cultural validity and reliability of a Finnish version of the nine-item Shared Decision-Making Questionnaire (SDM-Q-9) in a sample of patients with different sociodemographic characteristics.
Method: The original SDM-Q-9 was translated into Finnish with the agreement of the developers of the original scale. The standardised translation procedure was followed by a pilot test of the questionnaire.
Background: Previous studies have shown that shared decision-making (SDM) between a practitioner and a patient strengthens the ideal of treatment adherence. This study employed a multi-method approach to SDM in healthcare to reinforce the theoretical and methodological grounds of this argument. As the study design, self-reported survey items and experimental vignettes were combined in one electronic questionnaire.
View Article and Find Full Text PDFPatient Prefer Adherence
April 2024
Objective: In this short report contributing to the literature on treatment and vaccination adherence, nonadherence was examined from the perspective of decision-making (DM) practice in healthcare. The objective of this study was to survey the rationalities given for treatment nonadherence and their association with DM practice.
Methods: The Ottawa decision Support Framework was used as a theoretical background for the study.
Background: The development of digital health services reflects not only the technical development of services but also a change in attitude and the way of thinking. It has become a cornerstone for engaging and activating patients and citizens in health management while living at home. Digital health services are also aimed at enhancing the efficiency and quality of services, while simultaneously providing services more cost-effectively.
View Article and Find Full Text PDFObjective: This scoping review will explore the meaning and content of patient-generated data in epilepsy care decisions.
Introduction: Clinical decisions about management of long-term conditions such as epilepsy are based on multiple factors, including efficacy and safety of interventions, experiences of professionals as well as patient preferences and values. Patient-generated data integrates patient values and preferences into clinical decision-making.
The purpose of this study was to assess the project management of a national health information technology project focused on developing digital health care services. An e-questionnaire was sent at the end of the development project, and 93 experts (18%) from five university hospitals responded. The questionnaire was based on the Common Assessment Framework (CAF) to identify management success and also to get an overview of the project's performance.
View Article and Find Full Text PDFStud Health Technol Inform
July 2019
Information quality has an important role in health care as digital services provide patients and healthcare professionals more opportunities for searching and utilising information. Information quality is one of the key factors affecting user satisfaction, perception of digital service usability and intention to use the service. The conceptual framework for this study was the updated Information Systems Success Model of DeLone and McLean.
View Article and Find Full Text PDFHealthcare professionals play a key role in supporting self-care among patients and clients. Their attitudes and behaviors may influence a patient's capacity to use electronic services (e-services) and may increase patients' trust toward a technical solution. The technology acceptance model explains information systems use and the important variables that play a role in an individual's acceptance of e-services.
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