“Time wasted by health professionals is time not invested in patients”: time management practice and associated factors among health professionals at public hospitals in Bahir Dar, Ethiopia: a multicenter mixed method study

BackgroundTime management is of utmost importance in healthcare facilities since time squandered by health professionals is time not invested in patients, and this affects the quality of care given to patients. This study aimed to assess time management practice and factors affecting it among health professionals at public hospitals in Bahir Dar, Ethiopia.MethodsInstitution-based cross-sectional study supplemented with a qualitative study was conducted from April 21 to May 20, 2022, among health professionals working in public hospitals in Bahir Dar, Ethiopia. A simple random sampling technique was used to select 416 study participants. A pretested self-administered questionnaire was used to collect quantitative data, and an interviewer guide was used to collect qualitative data to complement quantitative data. Purposive sampling was used in the qualitative study, and 12 in-depth interviews were carried out till saturation was reached. The quantitative data were entered into Epi Data version 4.0 and analyzed using SPSS 25.0 whereas the qualitative data were analyzed manually using thematic analysis. To identify the associated factors, bi-variable and multivariable logistic regression analyses were used. The degree of associations was interpreted using odds ratio and 95% confidence interval at <0.05 p-value.ResultsOf 416 invited participants, 410 of them participated in the study yielding a 98.5% response rate. The magnitude of time management practice among health professionals was 66.1% (95% CI: 61.5–70%). Age ranges 25–29 (AOR = 3.961, 95% CI: 1.068, 14.682) and 30–34 (AOR = 6.240, 95% CI: 1.640, 23.749), planning (AOR = 6.032, 95% CI: 3.478, 10.463), compensation and benefits packages (AOR = 1.888, 95% CI: 1.077, 3.309), responsible to work (AOR = 2.119, 95% CI: 1.192, 3.768), time waster (AOR = 1.855, 95% CI: 1.058, 3.251) and staff shortage (AOR = 0.535, 95% CI: 0.319, 0.896) were factors associated with time management practice. From the qualitative study, two major themes and five categories have emerged.Conclusion and recommendationsHealthcare facilities could improve their time management practices by providing training on planning, being a low time-waster and highly responsible at work, and designing compensation and benefits packages

Magnitude, pattern and correlates of multimorbidity among patients attending chronic outpatient medical care in Bahir Dar, northwest Ethiopia: The application of latent class analysis model.

ObjectiveThis study aimed to investigate the magnitude, pattern and associated factors of multimorbidity in Bahir Dar, northwest Ethiopia.MethodsA multi-centered facility-based study was conducted among 1440 participants aged 40+ years attending chronic outpatient medical care. Two complementary methods (interview and review of medical records) were employed to collect data on socio-demographic, behavioral and disease related characteristics. The data were analyzed by STATA V.16 and R Software V.4.1.0. We fitted logistic regression and latent class analyses (LCA) models to identify the factors associated with multimorbidity and determine patterns of disease clustering, respectively. Statistical significance was considered at P-value ResultsThe magnitude of individual chronic conditions ranged from 1.4% (cancer) to 37.9% (hypertension), and multimorbidity was identified in 54.8% (95% CI = 52.2%-57.4%) of the sample. The likelihood of having multimorbidity was higher among participants aged 45-54 years (AOR: 1.6, 95%CI = 1.1, 2.2), 55-64 years (AOR: 2.6, 95%CI = 1.9, 3.6) and 65+ years (AOR: 2.6, 95%CI = 1.9, 3.6) compared to those aged 40-44 years. The odds of multimorbidity was also higher among individuals classified as overweight (AOR: 1.6, 95%CI = 1.2, 2.1) or obese (AOR: 1.9, 95%CI = 1.3, 3.0) than the normal weight category. Four patterns of multimorbidity were identified; the cardiovascular category being the largest class (50.2%) followed by the cardio-mental, (32.6%), metabolic (11.5%) and respiratory (5.7%) groups. Advanced age, being overweight and obesity predicted latent class membership, adjusting for relevant confounding factors.ConclusionsThe magnitude of multimorbidity in this study was high, and the most prevalent conditions shaped the patterns of multimorbidity. Advanced age, being overweight and obesity were the factors correlated with multimorbidity. Further research is required to better understand the burden of multimorbidity and related factors in the population, and to determine the impact of multimorbidity on individuals' well-being and functioning