Missed nursing care and its associated factors in public hospitals of Bahir Dar City, Northwest Ethiopia: a cross-sectional study.

OBJECTIVES: The aim of this study was to investigate the prevalence of missed nursing care and its associated factors among public hospitals in Bahir Dar City, Northwest Ethiopia. DESIGN: An institution-based cross-sectional study was conducted among 369 randomly selected nurses. SETTING: The study was conducted in primary and secondary-level public hospitals in Bahir Dar City. PARTICIPANTS: Nurses who had worked in hospitals in Bahir Dar City were included. INTERVENTION: No intervention was needed in this study. PRIMARY AND SECONDARY OUTCOME MEASURES: A binary logistic regression model was used for statistical analysis. Statistical significance of the association between outcome variables and independent variables was declared at a p value of <0.05 with a 95% CI. RESULTS: The prevalence of missed nursing care in this study was 46.3% (95% CI: 41.7% to 50.9%). The activities most frequently missed were physical examination (56.4%), patient discharge planning and teaching (50.9%), providing emotional support to the patient and family (50.8%), monitoring input and output (50.2%), assisting with patient ambulation (48.5%) and documentation (48%). Factors associated with missed nursing care include: male professionals (adjusted OR (AOR): 2.9, 95% CI: 1.8 to 4.8), those who had not received on-the-job training (AOR: 2.2, 95% CI: 1.4 to 3.6), those who worked full 24-hour shifts (AOR: 3.7, 95% CI: 2.0 to 6.5), those who were dissatisfied with the level of teamwork (AOR: 4.6, 95% CI: 2.8 to 7.6) and those who had an intention to leave the nursing profession (AOR: 1.8, 95% CI: 1.1 to 2.9). These factors were statistically associated with missed nursing care. CONCLUSION: A significant proportion of nurses missed essential nursing care activities. Efforts should be made to enhance training, improve teamwork among nurses, provide stability and adjust work shifts to mitigate this issue.

Mortality rate and predictors among patients with breast cancer at a referral hospital in northwest Ethiopia: A retrospective follow-up study.

BACKGROUND: Breast cancer is one of the common global health concerns that affects2.1 million women each year and causes the highest number of cancer-related morbidity and mortality among women. The objective of this study was to determine the mortality rate and its predictors among breast cancer patients at the referral hospitals, in northwest Ethiopia. METHODS: A retrospective follow-up study was conducted on breast cancer patients registered between February 01, 2015 and February 28, 2018. They were selected by simple random sampling using computer-generated method and followed until February 29, 2020, in Amhara region referral hospital. A pre-tested data extraction checklist was used to collect data from the registration book and patient medical records. The collected data were entered into Epi-Data version 3.1 and exported to STATA version 14 for analysis. The mortality rate by person-year observation was computed. The Kaplan-Meier survival curve with the log-rank test was used to estimate the survival probabilities of the patients. Bivariate and multivariate Cox regression model was used to identify predictors of mortality. RESULTS: The overall mortality rate of breast cancer was 16.9 per 100 person-years observation. The median survival time was 38.3 (IQR: 26.23, 49.4) months. Independent predictors of breast cancer mortality was; Clinical stage IV and stage III (aHR:10.44,95% CI: 8.02,11.93 and aHR: 9.43, 95% CI: 6.29,11.03respectively), number of positive lymph node in the category of 10 and more and number of positive lymph node within the category of 4-9 (aHR:12.58, 95%CI: 5.2, 30.46 and aHR: 4.78, 95% CI: 2.19, 10.43respectively), co-morbidities (aHR:1.5, 95%CI: 1.01,2.21), Postmenopausal (aHR:2.03,95% CI: 1.37, 3), histologic grade III (aHR:2.12, 95% CI: 1.26,3.55) and not received hormonal therapy (aHR: 2.19, 95%CI: 1.52,3.15) were independent predictors of mortality. CONCLUSION: The overall mortality rate was 16.9 per 100 person-years. The finding was higher compared to high-income countries. Advanced clinical stage, co-morbidities, menopausal status, and hormonal therapy are the significant predictors of mortality. Early detection and treatment of breast cancer is needed to reduce the mortality rate.