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1.
Gerontologist ; 64(7)2024 07 01.
Article in English | MEDLINE | ID: mdl-38721939

ABSTRACT

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.


Subject(s)
Delivery of Health Care, Integrated , Primary Health Care , Humans , Female , Male , Aged , Middle Aged , Aged, 80 and over , Reproducibility of Results , Quality Indicators, Health Care , Principal Component Analysis
3.
Gerontologist ; 59(6): e653-e663, 2019 11 16.
Article in English | MEDLINE | ID: mdl-30239756

ABSTRACT

BACKGROUND AND OBJECTIVES: In evaluating integrated care models, traditional quality measures do not account for functional and quality of life factors, affecting older adults with multiple chronic conditions. The objective of this study was the development and validation of the Flourish Index (FI), an instrument to evaluate integrated care, using a determinants of health model. RESEARCH DESIGN AND METHODS: The study took place within the evaluation study of the Flourish Model (FM). The FM provides care coordination services using an integrated primary care and community-based services model. Baseline data from 70 older adults were used in the validation study. Twenty-seven quality of care indicators within six determinants of health, namely biological, psychological, individual health behaviors, health services, environmental, and social, formed part of the FI. RESULTS: Categorical principal components analysis showed a 5-dimensional structure with psychological determinants loading on the biological determinants of health. Internal consistency (Cronbach's alpha) for the determinants was as follows: biological/psychological = 0.73, individual = 0.58, environmental = 0.62, health services = 0.65, social = 0.67, total score = 0.97. Sensitivity to change was shown for the total FI score (F1,22 = 8.82, p = .01) and social (F1,22 = 5.82, p = .02), with a trend toward sensitivity for individual health behaviors (F1,22 = 3.95, p = .06) and health services (F1,22 = 3.26, p = .09). DISCUSSION AND IMPLICATIONS: The preliminary analysis of the FI shows promise for the usability of the index to provide insight into the fundamental challenges of aging. It brings greater clarity in caring for older adults and supports quality evaluation of integrated care coordination models.


Subject(s)
Delivery of Health Care, Integrated , Quality Assurance, Health Care/methods , Quality of Health Care/organization & administration , Aged , Community Health Services/organization & administration , Community Health Services/standards , Female , Health Status , Humans , Male , Models, Organizational , Primary Health Care/organization & administration , Primary Health Care/standards , Quality Assurance, Health Care/standards , Quality Indicators, Health Care , Quality of Health Care/statistics & numerical data , Risk Factors
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