African Aquaculture Research (Agri/Animal Science) | 28 June 2010
Methodological Evaluation of Rural Clinics Systems in Rwanda Using Time-Series Forecasting Models for Clinical Outcomes Assessment
K, w, e, g, y, i, r, a, h, K, a, y, i, n, a, m, u, r, e, k, o
Abstract
Rural clinics in Rwanda face challenges in delivering consistent quality healthcare services, particularly regarding clinical outcomes assessment. A systematic literature review was conducted using databases such as PubMed and Google Scholar. Studies published between and were included, focusing on methodologies employed by clinics in Rwanda. Time-series forecasting models showed a significant positive correlation (\(r = 0\).87) with clinical outcomes improvement when applied to data from rural clinics over a four-year period. The use of time-series forecasting models can enhance the assessment and prediction of clinical outcomes in Rwanda's rural clinic systems, providing a robust method for improving healthcare delivery. Future research should focus on validating these findings through real-world implementation and exploring additional predictive factors that influence clinical outcomes. Rural Clinics, Clinical Outcomes, Time-Series Forecasting, Healthcare Systems, Rwanda