INTRODUCTION: Patient satisfaction with nursing is the most important predictor of patients' overall satisfaction with their hospital care. According to the Law of Health Care of Republic of Serbia monitoring of patients' satisfaction with hospital service is mandatory; however, the questionnaire applied to that purpose includes only several questions directly addressing the nursing care issue. AIM: The aim of the present study was to evaluate psychometric properties of the Serbian version Patient Satisfaction Nursing Care Quality Questionnaire (PSNCQQ) and explore patients' satisfaction of nursing care they received and assess the relationship between patient satisfaction and patient characteristics. METHODS: This cross-sectional study included a sample population of 240 patients who were discharged from surgical clinics of the Clinical Center of Vojvodina in Novi Sad. The PSNCQQ was translated into Serbian according to standard procedures for forward and backward translation. Factor analysis was used to determine the construct validity, and predictive validity of the questionnaire was previously assessed. Cronbach's α coefficient and item analysis was conducted to evaluate reliability of the scale. RESULTS: The Serbian version Patient Satisfaction Nursing Care Quality Questionnaire (PSNCQQ) showed a one-factor structure, Cronbach's α reliability coefficient was excellent 0.94 and was similar across hospital categories. The correlation coefficient between 19 items and the total scale was high, and ranged from 0.56 to 0.76. Patients' age, educational level and previous hospitalization period were important factors that affected their satisfaction with nursing care. CONCLUSION: The study provides a new tool for measuring patient satisfaction with nursing care in Serbia that may present a useful instrument for nursing care managers in improving the nursing care process.
INTRODUCTION:Patient satisfaction with nursing is the most important predictor of patients' overall satisfaction with their hospital care. According to the Law of Health Care of Republic of Serbia monitoring of patients' satisfaction with hospital service is mandatory; however, the questionnaire applied to that purpose includes only several questions directly addressing the nursing care issue. AIM: The aim of the present study was to evaluate psychometric properties of the Serbian version Patient Satisfaction Nursing Care Quality Questionnaire (PSNCQQ) and explore patients' satisfaction of nursing care they received and assess the relationship between patient satisfaction and patient characteristics. METHODS: This cross-sectional study included a sample population of 240 patients who were discharged from surgical clinics of the Clinical Center of Vojvodina in Novi Sad. The PSNCQQ was translated into Serbian according to standard procedures for forward and backward translation. Factor analysis was used to determine the construct validity, and predictive validity of the questionnaire was previously assessed. Cronbach's α coefficient and item analysis was conducted to evaluate reliability of the scale. RESULTS: The Serbian version Patient Satisfaction Nursing Care Quality Questionnaire (PSNCQQ) showed a one-factor structure, Cronbach's α reliability coefficient was excellent 0.94 and was similar across hospital categories. The correlation coefficient between 19 items and the total scale was high, and ranged from 0.56 to 0.76. Patients' age, educational level and previous hospitalization period were important factors that affected their satisfaction with nursing care. CONCLUSION: The study provides a new tool for measuring patient satisfaction with nursing care in Serbia that may present a useful instrument for nursing care managers in improving the nursing care process.
Authors: Sarahi Estrella Maldonado-Paredes; Teresa Juárez-Cedillo; Jorge Escobedo de la Peña; Miguel Angel Vaca-Marín; Carolina Quiñones-Villalobos; Osvaldo Garrido-Acosta; Roberto C González-Meléndez Journal: J Family Med Prim Care Date: 2022-05-14
Authors: Yadollah Jannati; Abolfazl Babajani; Maedeh Ghasemi Kolaei; Hossein Mohsenipouya; Nouraddin Mousavinasab; Mohammad A H Gorji; Mohammed A Mamun Journal: Health Sci Rep Date: 2022-06-21
Authors: Uwe Konerding; Tom Bowen; Sylvia G Elkhuizen; Raquel Faubel; Paul Forte; Eleftheria Karampli; Tomi Malmström; Elpida Pavi; Paulus Torkki Journal: PLoS One Date: 2019-10-17 Impact factor: 3.240