Exploring factors influencing residents\' health outcomes in long-term care facilities: 1-year follow-up using latent growth curve model

Abstract

Purpose This study explored the residents\' health outcomes of long-term care (LTC) facilities and examined the risk factors in individual and institutional levels during 1 year of admission. Methods The study included four stages of interviews with residents in 31 nursing homes and 64 residential care homes. Three hundred and twenty-five residents at baseline were interviewed, and 206 completed the interviews at follow-up. Five outcomes including residents\' physical/mental functional status and subjective health status in Short Form-36 were analyzed using latent growth curve models (LGCMs). Results Only the physical component summary (PCS) had increased significantly. The most influential risk factors to outcomes were the intra-individual-level time-varying variables, including self-rated health and with/without tubing care. Some predictive inter-individual-level factors were also found. For institutional characteristics, small-sized homes (<49 beds) with low occupancy rates showed a lower growth rate in residents\' mental component summary (MCS) and PCS over 1 year and private sector homes showed the most significant growth rates in MCS. Conclusions The methodological strength using LGCMs provides a framework for systematically assessing the influence of risk factors from various levels on residents\' outcomes and follow-up change. It is evident that factors in various levels all influenced residents\' outcomes which support critical information for case mix and quality management in LTC facilities. Under the scenario of a surplus of institutional care in Taiwan, we suggest that institutions must focus more on residents\' psychological well-being and care quality, especially in small-sized homes in relation to the outcomes of its residents.