Introduction: Renal failure is on the increase and patients have to identify with renal services and centres where services for renal replacement therapies are rendered. This calls for health care workers to offer ser...Introduction: Renal failure is on the increase and patients have to identify with renal services and centres where services for renal replacement therapies are rendered. This calls for health care workers to offer services that are perceived as quality and satisfying in order to meet the biophysical and psychological needs of the patients. Study design: This was a descriptive cross-sectional study undertaken at the Renal unit of Kenyatta National Hospital (KNH). Purpose: The study aimed at determining the level of satisfaction and perception of the quality of nursing services in the Renal unit. Methodology: The study population included all patients who were seeking dialysis services during one month period of data collection. The sample size was 151 following data collection. Data collection tools consisted of semi-structured questionnaires which were administered with the aid of research assistants as well as checklists which were self administered. Data analysis and results: Analysis of data was performed using the statistical package of social sciences (SPSS) version 16. Results of data analysis were presented in form of descriptive statistics which included mean, standard deviation and percentages. Regression analysis, t-test and ANOVA were conducted to determine demographic predictors of patient satisfaction with the nursing services. The results of the study revealed that patients in the Renal unit were generally satisfied with the nursing services. The aggregate mean score for all patients on Likert scale was 71.2 out of 105, with a standard deviation of 16.8. Level of satisfaction was 67.8%. The findings also showed that there was no association between demographic characteristics with the levels of satisfaction with the nursing services. Recommendation: The hospital should keep the patients’ level of satisfaction high and maintain it through the provision of more dialysis machines and hiring more nurses.展开更多
文摘Introduction: Renal failure is on the increase and patients have to identify with renal services and centres where services for renal replacement therapies are rendered. This calls for health care workers to offer services that are perceived as quality and satisfying in order to meet the biophysical and psychological needs of the patients. Study design: This was a descriptive cross-sectional study undertaken at the Renal unit of Kenyatta National Hospital (KNH). Purpose: The study aimed at determining the level of satisfaction and perception of the quality of nursing services in the Renal unit. Methodology: The study population included all patients who were seeking dialysis services during one month period of data collection. The sample size was 151 following data collection. Data collection tools consisted of semi-structured questionnaires which were administered with the aid of research assistants as well as checklists which were self administered. Data analysis and results: Analysis of data was performed using the statistical package of social sciences (SPSS) version 16. Results of data analysis were presented in form of descriptive statistics which included mean, standard deviation and percentages. Regression analysis, t-test and ANOVA were conducted to determine demographic predictors of patient satisfaction with the nursing services. The results of the study revealed that patients in the Renal unit were generally satisfied with the nursing services. The aggregate mean score for all patients on Likert scale was 71.2 out of 105, with a standard deviation of 16.8. Level of satisfaction was 67.8%. The findings also showed that there was no association between demographic characteristics with the levels of satisfaction with the nursing services. Recommendation: The hospital should keep the patients’ level of satisfaction high and maintain it through the provision of more dialysis machines and hiring more nurses.
