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Background Co-production of health and care involving patients, families of patients, and professionals in care processes can create joint learning about how to meet patients’ needs. Although barriers and facilitators to co-production have been examined previously in various health care contexts, the preconditions in Swedish chronic cardiac care contexts are yet to be explored. This study is set in the health system of the Swedish region of Jönköping County and is part of system-wide efforts to promote better health for persons with heart failure (HF). Objective The objective of this study was to test the usefulness of the Capability, Opportunity, and Motivation Behavior (COM-B) model when assessing the barriers to and facilitators of co-production of health and care perceived by patients with HF, family members of patients with HF, and professionals in a Swedish chronic cardiac care context as a guide for subsequent initiatives. Methods Data collection involved 1 focus group interview (FGI) with patients with HF (n=5), 1 FGI with family members of patients with HF (n=5), 1 FGI with professionals in primary care (n=7), and 1 FGI with professionals in cardiac care (n=4). In addition, patients with HF kept diaries of their thoughts regarding co-production. Using a deductive approach to content analysis, underpinned by the COM-B model, barriers and facilitators were categorized into capabilities, opportunities, and motivations to co-produce health and care. Results The participants showed limited understanding of co-production as a practice. They appeared to view it as a privilege to be offered to patients on top of traditional care and rarely as an approach for improving health care processes. The interviews revealed the limited health literacy among patients and the struggle of professionals to convey health information to these patients. Co-production was considered to be more resource-intensive than traditional care. Different expectations of stakeholders’ roles were revealed: professionals expected older patients not to want to co-produce health and care, and all participants expected professionals to be in charge of health care services. The family members’ position involved trying to balance their desire to support their relatives with understanding when, how, and with whom to co-produce. Presumed benefits motivated stakeholders: co-production was recognized to motivate patients to improve self-care. However, the participants recognized that motivation to get involved in health and care decisions varies over time among stakeholders. Conclusions Co-production can be facilitated by the stakeholders’ motivation. However, varying levels of understanding of co-production, patients’ limited health literacy, unease with power sharing between patients and professionals, and resource constraints are barriers that need to be managed to promote co-produced care and better health for persons living with HF. Further research is warranted to explore how to co-produce health care services with patients with HF and how leaders can facilitate the inevitable cultural change it requires and represents.
Background Co-production of health and care involving patients, families of patients, and professionals in care processes can create joint learning about how to meet patients’ needs. Although barriers and facilitators to co-production have been examined previously in various health care contexts, the preconditions in Swedish chronic cardiac care contexts are yet to be explored. This study is set in the health system of the Swedish region of Jönköping County and is part of system-wide efforts to promote better health for persons with heart failure (HF). Objective The objective of this study was to test the usefulness of the Capability, Opportunity, and Motivation Behavior (COM-B) model when assessing the barriers to and facilitators of co-production of health and care perceived by patients with HF, family members of patients with HF, and professionals in a Swedish chronic cardiac care context as a guide for subsequent initiatives. Methods Data collection involved 1 focus group interview (FGI) with patients with HF (n=5), 1 FGI with family members of patients with HF (n=5), 1 FGI with professionals in primary care (n=7), and 1 FGI with professionals in cardiac care (n=4). In addition, patients with HF kept diaries of their thoughts regarding co-production. Using a deductive approach to content analysis, underpinned by the COM-B model, barriers and facilitators were categorized into capabilities, opportunities, and motivations to co-produce health and care. Results The participants showed limited understanding of co-production as a practice. They appeared to view it as a privilege to be offered to patients on top of traditional care and rarely as an approach for improving health care processes. The interviews revealed the limited health literacy among patients and the struggle of professionals to convey health information to these patients. Co-production was considered to be more resource-intensive than traditional care. Different expectations of stakeholders’ roles were revealed: professionals expected older patients not to want to co-produce health and care, and all participants expected professionals to be in charge of health care services. The family members’ position involved trying to balance their desire to support their relatives with understanding when, how, and with whom to co-produce. Presumed benefits motivated stakeholders: co-production was recognized to motivate patients to improve self-care. However, the participants recognized that motivation to get involved in health and care decisions varies over time among stakeholders. Conclusions Co-production can be facilitated by the stakeholders’ motivation. However, varying levels of understanding of co-production, patients’ limited health literacy, unease with power sharing between patients and professionals, and resource constraints are barriers that need to be managed to promote co-produced care and better health for persons living with HF. Further research is warranted to explore how to co-produce health care services with patients with HF and how leaders can facilitate the inevitable cultural change it requires and represents.
Background Children with long-term illnesses frequently experience symptoms that could negatively affect their daily lives. These symptoms are often underreported in health care. Despite a large number of mobile health (mHealth) tools, few are based on a theoretical framework or supported by scientific knowledge. Incorporating universal design when developing a product can promote accessibility and facilitate person-centered communication. Objective The aim of this study is to identify the symptom-reporting needs of children with cancer and congenital heart defects that could be satisfied by using a mobile app. Another aim is to evaluate how the child might interact with the app by considering universal design principles and to identify parents’ views and health care professionals’ expectations and requirements for an mHealth tool. Methods User-centered design is an iterative process that focuses on an understanding of the users. The adapted user-centered design process includes 2 phases with 4 stages. Phase 1 involved interviews with 7 children with long-term illnesses, 8 parents, and 19 health care professionals to determine their needs and wishes for support; a workshop with 19 researchers to deepen our understanding of the needs; and a workshop with developers to establish a preliminary tool to further investigate needs and behaviors. Phase 2 involved interviews with 10 children with long-term illnesses, 9 parents, and 21 health care professionals to evaluate the mock-up (prototype) of the mHealth tool. Data were synthesized using the interpretive description technique. Results A total of 4 aspects of needs emerged from the synthesis of the data, as follows: different perspectives on provided and perceived support; the need for an easy-to-use, non–clinic-based tool to self-report symptoms and to facilitate communication; the need for safety by being in control and reaching the child’s voice; and a way of mapping the illness journey to facilitate recall and improve diagnostics. The children with long-term illnesses expressed a need to not only communicate about pain but also communicate about anxiety, fatigue, fear, and nausea. Conclusions The findings of this study indicated that the PicPecc (Pictorial Support in Person-Centered Care for Children) app is a potential solution for providing communicative support to children with long-term illnesses dealing with multiple symptoms and conditions. The interview data also highlighted symptoms that are at risk of being overlooked if they are not included in the mobile app. Further studies are needed to include usability testing and evaluation in hospitals and home care settings.
BACKGROUND Smartphones have made it possible for patients to digitally report symptoms before physical primary care visits. Using machine learning (ML), these data offer an opportunity to support decisions about the appropriate level of care (triage). OBJECTIVE The purpose of this study was to explore the interrater reliability between human physicians and an automated ML-based triage method. METHODS After testing several models, a naïve Bayes triage model was created using data from digital medical histories, capable of classifying digital medical history reports as either in need of urgent physical examination or not in need of urgent physical examination. The model was tested on 300 digital medical history reports and classification was compared with the majority vote of an expert panel of 5 primary care physicians (PCPs). Reliability between raters was measured using both Cohen κ (adjusted for chance agreement) and percentage agreement (not adjusted for chance agreement). RESULTS Interrater reliability as measured by Cohen κ was 0.17 when comparing the majority vote of the reference group with the model. Agreement was 74% (138/186) for cases judged not in need of urgent physical examination and 42% (38/90) for cases judged to be in need of urgent physical examination. No specific features linked to the model’s triage decision could be identified. Between physicians within the panel, Cohen κ was 0.2. Intrarater reliability when 1 physician retriaged 50 reports resulted in Cohen κ of 0.55. CONCLUSIONS Low interrater and intrarater agreement in triage decisions among PCPs limits the possibility to use human decisions as a reference for ML to automate triage in primary care.
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