Factors influencing residents' satisfaction in nursing homes, Isfahan province, Iran: Structural Equation Modeling (SEM)

Most older adults nowadays live alone, without the help of their children, prompting higher demand for nursing homes than ever before. Thus, this study aimed to identify the factors affecting resident satisfaction in Isfahan province nursing homes through a collaborative approach and based on residents’ comments and quantify the type of relationship between these factors. This study employed a mixed qualitative-quantitative approach to evaluate the data gathered through article reviews, in-depth interviews, observation in Sadeghiyeh and Ehsan nursing homes, and the Likert scale questionnaire. The variables affecting older adult satisfaction in nursing homes were identified using MAXQDA software analysis. Subsequently, SPSS 22 and AMOS 26 software were employed to obtain the Pearson test, confirmatory factor analysis, and structural equation model (SEM). According to the results, in nursing homes, elderly satisfaction is affected by three factors. Results from the SEM revealed a direct connection between individual characteristics, the physical environment, and service quality factors: (1) gender, previous habitation status, education, length of residence, and health status affected the physical environment; (2) physical environment components predicted service quality; (3) gender, previous habitation status, education, length of residence, and health status influenced service quality. For enhancement of residential satisfaction in nursing homes, it is suggested that women's outdoor spaces be private and colored cool and warm, respectively, for men and women. The nursing stations are recommended to be designed to be open; so senior residents have visual access. Increased natural light and green space in nursing homes to improve the social environment.

Factors influencing residents' satisfaction in nursing homes, Isfahan province, Iran: Structural Equation Modeling (SEM) Keywords:

Elderlies , physical environment , Service Quality , Residential satisfaction , Individual characteristics