Resource Allocation, Nursing Staff Services, and Patient Quality Care Satisfaction
DOI:
https://doi.org/10.5281/zenodo.21399074Keywords:
infirmary hospitals, nursing staff services, patient satisfaction, quality of care, resource allocation, rural healthcareAbstract
This study examined resource allocation, nursing staff services, and patient satisfaction with quality of care among inpatients in four infirmary hospitals in the Municipality of Quezon, Bukidnon. A quantitative descriptive, correlational, and predictive design was employed. Using universal sampling, the study included 400 adult inpatients who had been admitted for at least 24 hours and had received direct nursing care. Data were collected through a 55-item modified and expert-validated questionnaire adapted from established patient satisfaction and healthcare experience instruments. The instrument demonstrated good internal consistency (Cronbach’s alpha = .89). Mean and standard deviation were used to describe the variables, while Spearman’s rho and multiple linear regression were used to test relationships and predictive influence. Patients reported a high level of resource allocation (M = 4.15, SD = 0.76), high satisfaction with nursing staff services (M = 4.23, SD = 0.75), and high satisfaction with the quality of care received (M = 4.00, SD = 0.85). Resource allocation (rho = .042, p = .398) and nursing staff services (rho = .058, p = .246) were not significantly related to patient satisfaction. The regression model was also not significant, F = 0.759, p = .469, R² = .062; neither resource allocation (B = 0.051, p = .681) nor nursing staff services (B = 0.142, p = .253) significantly predicted satisfaction. The findings indicate that patients positively evaluated hospital resources and nursing services, but their overall satisfaction was influenced by a broader care experience beyond the predictors tested. Hospitals should therefore sustain resource and workforce improvements while strengthening communication, responsiveness, care coordination, discharge preparation, and patient feedback systems.
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