Implementation of a Culturally Sensitive Caring-Based Nursing Service Model Increasing Patient Satisfaction in Hospitals

Abstract

BACKGROUND: Culturally sensitive caring-based nursing services yield numerous benefits for patients, nurses, and hospitals. One of the advantages hospitals derive is enhanced patient satisfaction and loyalty, leading to financial benefits. AIM: The aim of this study was to assess the impact of culturally sensitive caring-based nursing services on patient satisfaction in hospitals. METHODS: Quasi-experimental pre-post-test control group design. The sample consisted of inpatients that were purposefully selected. The formula for the difference in proportions between the two groups was used to determine the sample size, yielding a total sample of 360 people, 180 in the intervention group and 180 in the control group. The intervention group received model socialization, module books, and 2 months of assistance with model implementation practices, while the control group only received module books without socialization and assistance. Data collection utilized a patient satisfaction questionnaire developed from the Swanson caring instrument, validated for reliability. Data analysis involved independent sample t-tests to ascertain differences in patient satisfaction between the intervention and control groups, and the general linear model repeated measure (GLM-RM) test to assess the development of patient satisfaction during the intervention and the model’s contribution to its increase. RESULTS: The independent t-test yielded a p = 0.0001 <0.05, signifying a significant difference in patient satisfaction between the intervention and control groups. The GLM-RM test demonstrated a Partial Eta Squared value of 0.715, indicating that the model contributed to a 71.50% increase in patient satisfaction, with the remainder influenced by other variables. CONCLUSION: Culturally sensitive caring-based nursing services enhance patient satisfaction in hospitals. Suggestion: This model can be implemented across hospitals.