Factors associated with health-related quality of life among community-dwelling older adults: the APPCARE study.

This study aimed to identify the factors associated with health-related quality of life (HRQOL) among community-dwelling older adults. Physical and mental HRQOL were measured by the 12-item Short Form Health Survey (SF-12) at baseline and follow-up. Linear regression models were used to evaluate associations between socio-demographic, health, and lifestyle factors and HRQOL. The sample included 661 participants (mean age = 77.4 years). Frailty was negatively associated with physical HRQOL (B = - 5.56; P < 0.001) and mental HRQOL (B = - 6.65; P < 0.001). Participants with a higher score on activities of daily living (ADL) limitations had lower physical HRQOL (B = - 0.63; P < 0.001) and mental HRQOL (B = - 0.18; P = 0.001). Female sex (B = - 2.38; P < 0.001), multi-morbidity (B = - 2.59; P = 0.001), and a high risk of medication-related problems (B = - 2.84; P < 0.001) were associated with lower physical HRQOL, and loneliness (B = - 3.64; P < 0.001) with lower mental HRQOL. In contrast, higher age (B = 2.07; P = 0.011) and living alone (B = 3.43; P < 0.001) were associated with better mental HRQOL in the multivariate models. Future interventions could be tailored to subpopulations with relatively poor self-reported HRQOL, such as frail or lonely older adults to improve their HRQOL.

A Qualitative Study of the Values, Needs, and Preferences of Patients Regarding Stroke Care: The ValueCare Study.

Introduction: An in-depth understanding of patient perspectives contributes to high-quality, value-based health care. The aim of this study was to explore the values, needs, and preferences of stroke patients across the continuum of care. Methods: We performed a qualitative study, as part of the larger ValueCare study, involving 36 patients who have had ischemic stroke within the past 18 months at the time of recruitment. Data were collected between December 2020 and April 2021 via one-to-one telephone interviews. All interviews were audio-taped and transcribed verbatim. The interview data were analysed using a thematic approach. Results: The analysis resulted in five themes: (1) patients' values about health care, (2) information and education, (3) psychological support, (4) follow-up care, and (5) continuity and coordination of care. Patients valued a compassionate professional who is responsive to their needs. Furthermore, patients indicated a need for tailored health information, psychosocial services, pro-active follow-up care and improved coordination of care. Discussion and conclusion: Stroke patients emphasised the need for tailored information, psychological support, pro-active follow-up, and improved coordination of care. It is advocated for professionals to use a value-based care approach in order to satisfy the individual needs of patients with regard to information, communication, and follow-up care.

Factors associated with falls among hospitalized and community-dwelling older adults: the APPCARE study.

Background: Falls are a leading cause of disability. Previous studies have identified various risk factors for falls. However, contemporary novel research is needed to explore these and other factors associated with falls among a diverse older adult population. This study aims to identify the factors associated with falls among hospitalized and community-dwelling older adults. Methods: Cross-sectional data from the 'Appropriate care paths for frail elderly people: a comprehensive model' (APPCARE) study were analyzed. The study sample consisted of hospitalized and community-dwelling older adults. Falling was assessed by asking whether the participant had fallen within the last 12 months. Multivariable logistic regression models were used to evaluate associations between socio-demographic characteristics, potential fall risk factors and falls. Results: The sample included 113 hospitalized (mean age = 84.2 years; 58% female) and 777 community-dwelling (mean age = 77.8 years; 49% female) older adults. Among hospitalized older adults, loneliness was associated with an increased risk of falls. Associations between female sex, secondary education lever or lower, multimorbidity, a higher score on limitations with activities of daily living (ADL), high risk of malnutrition and falling were found among community-dwelling participants. Conclusion: The results of this study confirm the multi-factorial nature of falling and the complex interaction of risk factors. Future fall prevention programs could be tailored to the needs of vulnerable subpopulations at high risk for falls.

Patients' Perspectives Regarding Digital Health Technology to Support Self-management and Improve Integrated Stroke Care: Qualitative Interview Study.

BACKGROUND: Digital technologies such as mobile apps and robotics have the potential to involve stroke patients better in the care process and to promote self-management. However, barriers exist that constrain the adoption and acceptance of technology in clinical practice. Examples of barriers are privacy concerns, challenges regarding usability, and the perception that there is no need for health-related technology. To address these barriers, co-design can be used to enable patients to reflect on their experiences of a service and to tailor digital technologies to the needs and preferences of end users regarding content and usability. OBJECTIVE: This study aims to explore the perspectives of stroke patients toward how digital health technology could support self-management regarding health and well-being, as well as integrated stroke care. METHODS: A qualitative study was conducted to understand patient perspectives. Data were collected in co-design sessions during the ValueCare study. Patients from a Dutch hospital who experienced an ischemic stroke (n=36) within the past 18 months were invited to participate. Data collection took place between December 2020 and April 2021 via one-to-one telephone interviews. A short self-report questionnaire was used to collect data on sociodemographics, disease-specific information, and technology use. All interviews were audio-taped and transcribed verbatim. The interview data were analyzed using a thematic approach. RESULTS: Patients held mixed attitudes toward digital health technologies. Some patients viewed digital technology as a convenient product or service, while others expressed no desire or need to use technology for self-management or care. Digital features suggested by stroke patients included (1) information about the causes of stroke, medication, prognosis, and follow-up care; (2) an online library with information regarding stroke-related health and care issues; (3) a personal health record by which patients can retrieve and manage their own health information; and (4) online rehabilitation support to empower patients to exercise at home. Regarding the user interface of future digital health technology, patients emphasized the need for easy-to-use and simple designs. CONCLUSIONS: Stroke patients mentioned credible health information, an online library with stroke-related health and care information, a personal health record, and online rehabilitation support as the main features to include in future digital health technologies. We recommend that developers and designers of digital health for stroke care listen to the "voice of the stroke patients" regarding both functionality and the characteristics of the interface. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s12877-022-03333-8.

Vulnerabilities Prompting Use of Technology and Screen by Mothers of Autistic Children in India: Lived Experiences and Comparison to Scientific Literature.

Technology and screen media has its place in every home, yet the influences of the same are less known. This research aims to explore the vulnerabilities that prompt the mothers to use screen media for their children, prior to a diagnosis of autism for their child. It also aims to explore literature the influence of screen media on speech and language development in children. This study combined semi-structured interviews with 16 mothers of autistic children in Southern India and a scoping literature review that resulted in 24 articles. The literature refers to a positive influence when co-viewing with the child, and it predominantly highlights improvements in speech and not in language. The interviews revealed that screens were used as a means of support, a language and learning development tool, or as a calming technique. Thus, the study shows that the mothers resorted to screen use for their children more out of helplessness, and not as an informed choice. Mothers of autistic children clearly express their vulnerabilities and indicate feelings of being lost without advice, with regard to use of screen-time. This suggests a need for more research into how they can be supported.

Toward Integration of mHealth in Primary Care in the Netherlands: A Qualitative Analysis of Stakeholder Perspectives.

Background: There is a growing need to structurally change the way chronic illness care is organized as health systems struggle to meet the demand for chronic care. mHealth technologies can alter traditional approaches to health care provision by stimulating self-management of chronically ill patients. The aim of this study was to understand the complex environment related to the introduction of mHealth solutions into primary care for chronic disease management while considering health system functioning and stakeholder views. Methods: A transdisciplinary approach was used informed by the Interactive Learning and Action (ILA) methodology. Exploratory interviews (n = 5) were held with representatives of stakeholder groups to identify and position key stakeholders. Subsequently, professionals and chronically ill patients were consulted separately to elaborate on the barriers and facilitators in integration, using semi-structured interviews (n = 17) and a focus group (n = 6). Follow-up interviews (n = 5) were conducted to discuss initial findings of the stakeholder analysis. Results: Most stakeholders, in particular primary care practitioners and patients, seem to have a supporting or mixed attitude toward integration of mHealth. On the other hand, several powerful stakeholders, including primary care information system developers and medical specialists are likely to show resistance or a lack of initiative toward mHealth integration. Main barriers to mHealth integration were a lack of interoperability with existing information systems; difficulties in financing mHealth implementation; and limited readiness in general practices to change. Potential enablers of integration included co-design of mHealth solutions and incentives for pioneers. Conclusion: Stakeholders acknowledge the benefits of integrating mHealth in primary care. However, important barriers perceived by end-users prevent them to fully adopt and use mHealth. This study shows that the complexity of introducing mHealth into primary care calls for strategies encouraging collaboration between multiple stakeholders to enhance successful implementation.