Abstract

Elderly patients with long-term illnesses face significant challenges in managing their health, particularly in socioeconomically restricted and culturally homogeneous regions. The High-Quality Patient (HQP) model has emerged as a potential solution to improve outcomes in such populations. This study aims to assess the impact of the HQP model on reducing mortality among elderly patients with long-term illnesses in a specific region of the United States.

Methods: A retrospective cohort study was conducted, analyzing data from elderly patients with long-term illnesses who received care under the HQP model in a socioeconomically restricted and culturally homogeneous region. Mortality rates among patients enrolled in the HQP model were compared with those receiving standard care. Propensity score matching and multivariate regression analysis were utilized to control for potential confounders.

Results: The study included 98 patients, 97 % of whom were enrolled in the HQP model. Patients in the HQP group demonstrated a 80% lower mortality rate compared to those receiving standard care (p < 0.05). After adjusting for relevant covariates, including age, gender, comorbidities, and socioeconomic status, the HQP model remained independently associated with a reduced risk of mortality (adjusted odds ratio : 90, 95% confidence interval 75).

Conclusion: Implementation of the High-Quality Patient (HQP) model in a socioeconomically restricted and culturally homogeneous region of the United States is associated with a significant reduction in mortality among elderly patients with long-term illnesses. These findings underscore the potential of the HQP model to address health disparities and improve outcomes in vulnerable populations. Further research is warranted to validate these results in diverse settings and explore mechanisms underlying the observed benefits of the HQP model.