Trager Institute, University of Louisville, Louisville, Kentucky, USA.
Kent School of Social Work, University of Louisville, Louisville, Kentucky, USA.
Gerontologist. 2024 Jul 1;64(7). doi: 10.1093/geront/gnae042.
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.
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).
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.
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.
本研究验证了 Flourish 指数修订版(FI-R),这是一种评估综合医疗模式的工具。原始的 Flourish 指数(FI)于 2018 年开发,并已针对老年初级保健的 FlourishCare(FC)模型(模型)进行了改进。
该模型为老年人提供综合的生物心理社会医疗保健。FI-R 使用 25 个质量护理指标和 7 个社区环境指标。使用 949 名 50 岁以上患者的样本,使用类别主成分分析(CATPCA)对 FI-R 进行验证,这些患者主要为女性(73%)、非西班牙裔白人(70%)、居住在城市地区(90%)和已婚(29%)、单身(22%)或离婚(19%)。平均年龄为 73.46(标准差[SD]为 10.86),平均受教育年限为 14.30(SD 为 2.14)。
CATPCA 显示出生物、心理和 2 个社会健康决定因素(SDOH)子领域的 4 维结构:健康行为和社区。指标的最终选择基于总方差解释率>0.30、项目负荷绝对值>0.45,以及不在 2 个因素上有交叉负荷>0.45。决定因素的内部一致性(Cronbach's alpha)为生物=0.75,心理=0.76,SDOH:社区=0.70,SDOH:健康行为=0.50,FI-R 总分为 0.95。FI-R 总分、心理决定因素和 SDOH:健康行为的变化敏感性得到了显示,但生物决定因素没有。
FI-R 的验证表明,它有望在电子健康系统中使用现有措施来评估综合医疗模式。需要进一步努力改善 FI-R 中社会人口统计学因素的纳入。