Subjective Rationalities of Nonadherence to Treatment and Vaccination in Healthcare Decision-Making.

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. Multiple choice and open-text responses indicating nonadherence were drawn from vignette survey data. The results have been analyzed and reported as descriptive statistics and findings of data-driven content analysis. The number of observatory units was 1032 in the within-subject study design. Results: DM practice was predominantly associated with nonadherence to vaccination, whereas nonadherence to treatment was consistently associated with attitudinal reasons independent of DM practice. Nonadherence to vaccination was most often rationalized by prior negative experiences in simple DM scenarios. After other DM practices, nonadherence was rationalized by uncertainty and criticism about the benefits of the recommended vaccine. Mistrust toward healthcare providers stood out, first in treatment nonadherence generally and, second, in vaccination nonadherence after simple DM where the final decision was left to the patient. Conclusion: In medical DM, adherence to treatment and vaccination may be achieved through a recognition of patients' previous healthcare encounters and potential trust-related concerns, which could pose a risk for nonadherence. To be able to observe these risks, patient engagement and mutual trust should be priorities in decision support in healthcare.

Research on treatment and vaccination adherence aim at increasing knowledge about improving adherence and treatment outcomes. This study examined explanations given for not adhering to treatment and an association between the explanations and medical decision-making practices. Decision-making practices are known to impact patient­physician interaction and the patients' motivation to have an active role at the appointment. In a shared decision-making (SDM) practice, patients' participation is encouraged. SDM is built on both medical expertise of the practitioner and individual views, values and preferences of the patient. As opposed to SDM, authoritarian decision-making refers to a practice in which decisions are made solely by the physician. In guided decision-making, the physician shares information with the patient but makes the final decision. In simple decision-making, the final decision is left to the patient after consultation. This empirical study used illustrated vignette survey data from Finland. Out of the 1935 respondents, 64% were female with an average age of 68. In the study design, nonadherence was presumed to depend on a decision-making practice presented. Primary findings showed that nonadherence to treatment is most correlated with attitudinal predetermination of the patient and mistrust toward healthcare providers. Nonadherence to vaccination had a stronger association with decision-making practices. After simple decision-making, declining vaccination was most often explained by prior negative experiences and mistrust toward healthcare providers. After other decision-making practices, explanations for declining included uncertainty and criticism about the benefits of the recommended vaccine. This study underscores the pivotal role of trust in the patient-physician interaction.

The Use of Digital Health Services Among Patients and Citizens Living at Home: Scoping Review.

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. In 2020, the COVID-19 pandemic accelerated worldwide the development and use of digital services in response to requirements for social distancing and other regulations. OBJECTIVE: The aim of this review is to identify and summarize how digital health services are being used among patients and citizens while living at home. METHODS: The Joanna Briggs Institute (JBI) methodology for scoping reviews was used as guidance. A search conducted in 3 databases (CINAHL, PubMed, Scopus) resulted in 419 papers. The reporting was conducted by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping review (PRISMA-ScR), and the analysis of the included papers was performed using a framework consisting of 5 clusters describing the use of digital health services. After screening and excluding papers that did not match the inclusion criteria, 88 (21%) papers from 2010 to 2022 were included in the final analysis. RESULTS: Results indicated that digital health services are used in different situations and among different kinds of populations. In most studies, digital health services were used in the form of video visits or consultations. The telephone was also used regularly for consultations. Other services, such as remote monitoring and transmitting of recorded information and the use the of internet or portals for searching information, were observed as well. Alerts, emergency systems, and reminders were observed to offer possibilities of use, for example, among older people. The digital health services also showed to have potential for use in patient education. CONCLUSIONS: The development of digital services reflects a shift toward the provision of care regardless of time and place. It also reflects a shift toward emphasis on patient-centered care, meaning activating and engaging patients in their own care as they use digital services for various health-related purposes. Despite the development of digital services, many challenges (eg, adequate infrastructure) still prevail worldwide.

Patient-generated data in epilepsy care decisions: a scoping review protocol.

OBJECTIVE: 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. However, more information is needed about the meaning and content of patient-generated data when making clinical decisions in epilepsy care. INCLUSION CRITERIA: This scoping review will consider studies focusing on patient-generated data and clinical decision-making in epilepsy management. Studies will be included if they concern adult patients with epilepsy, their family members/guardians, or health professionals who treat patients with epilepsy in any health care facility or eHealth services. All studies will be included regardless of methodology. Text and opinion papers will also be considered. Study protocols will be excluded. METHODS: The databases to be searched include MEDLINE, CINAHL, Scopus, PsycINFO, and Cochrane Central Register of Controlled Trials. Sources of unpublished studies and gray literature will include websites of relevant epilepsy organizations and DART-Europe E-theses Portal. The data will be extracted by two independent reviewers using a tool created for the study purpose. Along with a narrative summary, the results will be presented in tabular or graphical format in a manner that aligns with the review objective and questions. There will be no time limit on the search. Studies published in English, Finnish, Swedish, and German will be included.

How to Assess Success of HIT Project Management: An Example of the Use of the Common Assessment Framework (CAF).

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. The questionnaire contained 11 background variables and 17 Likert scale items in five themes on leadership, strategy and planning, people, partnerships and resources, and processes, and one open-ended question. After analysis using descriptive statistical methods, the results showed that, overall, participants felt confident about management of the project. Criticism focused on the distribution of resources and lack of knowledge about the status of development activities in other hospitals. The CAF enablers criteria revealed subjects for further development.

Patients' Use of Health Village Portal: The Central Role of Healthcare Professional Support.

Healthcare 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. This survey was designed to capture the expectations of healthcare personnel. Participants (n = 91) suggested that patients would benefit from this e-service. The e-services enabled participants to find patient health records more easily than before, and they perceived that the care relationship improved as a result.

Health Professionals' Perceptions of Information Quality in the Health Village Portal.

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. The study was conducted in the context of Health Village, a digital interactive and secured portal providing health services to patients and citizens. The purpose of the study was to survey health professionals' perception (n = 91) of information quality and its effect on user satisfaction. Concerns were raised about the interoperability of the portal with other health information systems and the ease of finding information. Generally, in the Health Village portal, information quality was considered relatively high.