Literature Collection

BACKGROUND: Despite the recognized benefits of integrating patient perspectives into healthcare design and clinical decision support, theoretical approaches and standardized methods are lacking. Various strategies, such as developing pathways, have evolved to address these challenges. Previous research emphasized the need for a framework for care pathways that includes theoretical principles, extensive user involvement, and data from electronic health records to bridge the gap between different fields and disciplines. Standardizing the representation of the patient perspective could facilitate its sharing across healthcare organizations and domains and its integration into journal systems, shifting the balance of power from the provider to the patient. OBJECTIVES: This study aims to 1) Identify research approaches taken to develop patient-centred, integrated, care pathways supported by electronic health records 2) Propose a socio-technical framework for designing patient-centred care pathways across multiple healthcare levels that integrates the voice of the patient with the knowledge of the care provider and technological perspectives. METHODS: This study conducted a scoping review following the Joanna Briggs Institute guidelines and PRISMA-ScR protocol. The databases PubMed, Scopus, Web of Science, ProQuest, IEEE, and Google Scholar were searched using a key term search strategy including variations of patient-centred, integrated care, pathway, framework and model to identify relevant studies. Eligible articles included peer-reviewed literature documenting methodologies for mapping patient-centred, integrated care pathways in healthcare service design. RESULTS: This review summarizes the application of care pathway modelling practices across various areas of healthcare innovation. The search resulted in 410 studies, with 16 articles included after the full review and grey literature search. CONCLUSIONS: Our research illustrated incorporating patient perspectives into modelling care pathways and healthcare service design. Regardless of the medical domain, our methodology proposes an approach for modelling patient-centred, integrated care pathways across the care continuum, including using electronic health records to support the pathways.

BACKGROUND AND OBJECTIVES: This study validates the Flourish Index-Revised (FI-R), a tool evaluating integrated healthcare models. The original Flourish Index (FI) was developed in 2018 and has been refined to align with the FlourishCare (FC) Model (Model) for geriatric primary care. RESEARCH DESIGN AND METHODS: The Model provides integrated biopsychosocial healthcare to older adults. The FI-R uses 25 quality-of-care indicators and 7 contextual community indicators. The FI-R was validated with Categorial Principal Components Analysis (CATPCA) using a sample of 949 patients 50+ who were mostly female (73%), non-Hispanic White (70%), living in urban areas (90%), and married (29%), single (22%), or divorced (19%). The mean age was 73.46 (standard deviation [SD] = 10.86) and mean years of education was 14.30 (SD = 2.14). RESULTS: CATPCA showed a 4-dimensional structure of biological, psychological, and 2 social determinants of health (SDOH) subdomains: health behaviors and community. Final selection of indicators was based on total variance accounted for >0.30, absolute values of item loadings >0.45, and not having cross-loadings >0.45 on 2 factors. Internal consistency (Cronbach's alpha) for the determinants were biological = 0.75, psychological = 0.76, SDOH:community = 0.70, SDOH:health behaviors = 0.50, and total FI-R = 0.95. Sensitivity to change was shown for the total FI-R, psychological determinants, and SDOH:health behaviors, but not for biological determinants. DISCUSSION AND IMPLICATIONS: The validation of the FI-R shows promise for its usability to evaluate integrated healthcare models using existing measures in electronic health systems. More work is needed to improve the incorporation of SDOH:sociodemographics into the FI-R.

OBJECTIVE: Gratitude programs may improve well-being among health care workers, but it is unknown whether the content of practices matters. METHODS: We conducted a text-based randomized controlled trial of "Three Good Things" (3GT) in a large academic primary care department. Participants responded to texts thrice weekly for 3 weeks and listed good things that happened that day. We measured depression, positive affect, gratitude, and life satisfaction for "immediate intervention" and "delayed" intervention groups. We coded >4600 entries and used multivariable regression to control for department age, role, and gender to see if content affected well-being. RESULTS: A total of 223 of 468 individuals (48%) enrolled. Close relationships and identifying valuable people in one's life were associated with the strongest benefits, but not all "good things" improved outcomes. CONCLUSIONS: Focusing gratitude on relationships may be most impactful.