Demographic characteristics of nurses’ as correlated factors to quality of Nursing care at Federal Medical Centre, Birnin Kudu, Jigawa State

The highest percentages recorded in respondents that are native to Hausa were due to the reason that the study area is a Hausa-speaking region predominantly by Hausa people. Respondents distributed at the highest frequency of 18 were ranked CNOs, while 10% at 2 frequencies are at the rank of PNOs. Educationally, all respondents were recorded to attain a tertiary education.

Aims: the study aim was to Assess Demographic characteristics of nurses as correlated factors to quality of Nursing care at Federal Medical Centre, Birnin Kudu, Jigawa State

Methodology: A Descriptive cross-sectional design with quantitative and qualitative data collection approach was implemented in this study to Assess Demographic characteristics of nurses’ as correlated factors to quality of nursing care at Federal Medical Centre, Birnin Kudu, and Jigawa State. The population of the study comprises nurse managers and in-patients of Federal Medical Centre, Birnin kudu, Jigawa State. Probability (stratified) sampling was used for quantitative aspect and census sampling for qualitative aspect. Four main tools were used for data collection. SPSS version 24 was used for data analysis.

Results: The results revealed that: In the result to assess in Significant positive values of 0.36 and 0.3 were found between overall quality of care and staff nurses qualification. However, there was no relationship between overall quality care services and other staff qualification hence the negative Pearson correlation of -0.76 and 0.48. However, there is negative correlation between qualifications

Conclusion: There is uneven distribution of nurses. Hospital infection rates and mortality rates are important indicators of quality. There are so many strategies to improve quality of care. Clients are satisfied with quality of care they receive; however, a lot improvement can be made.

Key Words: Birnin Kudu, Characteristic, Demographic, Nurses, Quality of Nursing.