Time to recovery from moderate acute malnutrition and its predictors among children aged 6-59 months in Fedis Woreda, East Hararghe Zone, Eastern Ethiopia.

Background: Acute malnutrition is a major global public health problem, particularly in low-and middle-income countries. A targeted supplementary feeding program is an approach recommended to address moderate acute malnutrition in food-insecure settings. Preventing and treating moderate acute malnutrition requires identifying factors shown to affect the treatment outcome and duration of stay on treatment. This study aimed to determine the time to recovery from moderate acute malnutrition and its predictors among children aged 6-59 months in Fedis Woreda East Hararghe Zone, Eastern Ethiopia, from January 1 to December 31, 2022. Methods: A facility-based retrospective cohort study was conducted on 567 children with moderate acute malnutrition in Fedis Woreda, East Hararghe Zone, eastern Ethiopia. A multi-stage sampling technique was employed, and data was collected using a structured checklist. Data were extracted from randomly selected records after obtaining ethical clearance. Data were cleaned, coded, entered into EpiData 4.6, and analyzed using STATA/SE version 14. Descriptive statistics and analytic analysis schemes, including bivariable and multivariable Cox proportional hazards models, were conducted, and finally, statistical significance was considered at p < 0.05. Results: The overall median time to recovery was 16 weeks. The major predicting factors for time to recovery among children aged 6-59 months were admission with a mid-upper arm circumference of 12.1-12.4 centimeters (AHR = 1.02, 95% CI: 1.01-1.19), access to transportation to facilities (AHR = 0.62, 95% CI: 0.36-0.81), children using specialized nutritious foods (RUSF; AHR = 1.96, 95% CI: 1.36-3.11), and children who had diarrhea (AHR = 0.4, 95% CI: 0.31-0.71). Conclusion: The study found a median recovery time of 16 weeks for children with targeted supplementary feeding. Significant predictors included admission with a MUAC of 12.1-12.4 centimeters, transportation access, RUSF use, and the presence of diarrhea. These findings highlighted the importance of these factors in determining and improving recovery from moderate-acute malnutrition.

Determinants of preeclampsia among women who gave birth at Hiwot Fana Comprehensive Specialized University Hospital, Eastern Ethiopia: a case-control study.

Pre-eclampsia and eclampsia are the second leading causes of maternal mortality and morbidity. It also results in high perinatal mortality and morbidity. Since eclampsia is preceded by preeclampsia and shows the progression of the disease, they share the same pathogenesis and determining factors. The purpose of this study was to determine determinants of preeclampsia, since it is essential for its prevention and/or its associated consequences. An unmatched case-control study was conducted from September 1-30, 2023 among women who gave birth from June 1, 2020, to August 31, 2023, at Hiwot Fana Comprehensive Specialized University Hospital. Women who had preeclampsia were considered cases, while those without were controls. The sample size was calculated using EPI Info version 7 for a case-control study using the following assumptions: 95% confidence interval, power of 80%, case-to-control ratio of 1:2, and 5% non-response rate were 305. Data was collected using Google Form, and analyzed using SPSS version 26. Variables that had a p-value of < 0.05 on multivariable logistic regression were considered statistically significant, and their association was explained using an odds ratio at a 95% confidence interval. A total of 300 women (100 cases and 200 controls) with a mean age of 24.4 years were included in the study. Rural residence (AOR 2.04, 95% CI 1.10-3.76), age less than 20 years (AOR 3.04, 95% CI 1.58-5.85), history of hypertensive disorders of pregnancy (AOR 5.52, 95% CI 1.76-17.33), and no antenatal care (AOR 2.38, 95% CI 1.19-4.75) were found to be the determinants of preeclampsia. We found that living in a rural areas, previous history of preeclampsia, no antenatal care, and < 20 years of age were significantly associated with preeclampsia. In addition to previous preeclampsia, younger and rural resident pregnant women should be given attention in preeclampsia screening and prevention.

Post-traumatic stress disorder and associated factors among inpatients at Eastern Command Referral Hospital in Dire Dawa, Eastern Ethiopia.

Background: Post-traumatic stress disorder (PTSD) is characterized by heightened stress and anxiety after experiencing a traumatic event. While numerous studies have been conducted to investigate the magnitude and factors associated with PTSD, there is limited evidence available on specific study populations of military personnel. Objective: The study aimed to determine the magnitude of post-traumatic stress disorder and associated factors among military personnel admitted to the Eastern Command Referral Hospital in Eastern Ethiopia from May 1 to 30, 2023. Methods and materials: A cross-sectional study was carried out at an institution. Face-to-face interviews were conducted to collect data using the post-traumatic stress disorder military version checklist for the Diagnostic and Statistical Manual, Fifth Edition. Data were entered and analyzed using EpiData version 3.1 and STATA version 14. Descriptive statistics were employed to summarize the information. To investigate factors linked with outcome variables, bivariate and multivariate logistic regression analyses were conducted. The results were presented using odds ratios with 95% confidence intervals, with statistical significance given at a p-value of 0.05. Results: This study found that approximately 23.6% (95% CI = 19.9-27.8) of admitted military members fulfilled the diagnostic criteria for PTSD. Participants' history of mental illness [adjusted odds ratio (AOR) = 5.73, 95% CI = 2.66-12.31], family history of mental illness (AOR = 10.38, 95% CI = 5.36-20.10), current chewing of khat (AOR = 2.21, 95% CI = 1.13-4.32), physical trauma (AOR = 2.03, 95% CI = 1.00-4.13), moderate social support (AOR = 0.27, 95% CI = 0.1-4.53), strong social support (AOR = 0.09, 95% CI = 0.02-0.35), and severe depression (AOR = 2.06, 95% CI = 1.74-5.71) were factors significantly associated with post-traumatic stress disorder. Conclusions: The magnitude of post-traumatic stress disorder is high among military personnel. Factors such as participants' history of mental illness, family history of mental illness, depression, lack of social support, current use of khat, and physical trauma are significantly associated with PTSD. It is crucial to identify and intervene early in individuals with these risk factors to address PTSD effectively.

Premenstrual dysphoric disorder and associated factors among university graduating class female students in Ethiopia: A cross-sectional study.

Objectives: Premenstrual dysphoric disorder is a somatopsychic condition that develops about a week before the start of menstruation and is brought on by fluctuating sex steroid levels that follow an ovulatory menstrual cycle. Therefore, this study aimed to assess the magnitude of premenstrual dysphoric disorder and associated factors among Haramaya University graduating class female students, in eastern Ethiopia. Methods: An institutional-based cross-sectional study was conducted from 1 to 30 November 2022 among Haramaya University graduating class female students using a simple random sampling technique. The data were cleaned, coded, and entered into the Epi-data 3.01 before being exported and analyzed with Statistical Package of Social Science 20 versions. The premenstrual dysphoric disorder was assessed by the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision. To identify associated factors a bivariable logistic regression analysis was conducted to determine the association between each independent variable and the outcome variable. The multivariable logistic regression model includes all variables with a p-value of less than 0.25 in the bivariate logistic regression analysis. The adjusted odds ratio with a 95% confidence interval was computed when the p-value was less than 0.05, which was considered statistically significant. Results: Out of 282 samples, 274 study participants were involved providing a response rate of 97.2%. The prevalence of premenstrual dysphoric disorders was 64.6% (95% CI: 59.5-70.4). Participants with the irregular menstrual cycle (AOR = 2.24; 95% CI: 1.26-4.34), heavy menstrual flow (AOR = 2.53; 95% CI: 1.84-7.59), moderate menstrual flow (AOR = 2.29; 95% CI: 1.02-5.26), severe menstrual pain (AOR = 5.69; 95% CI: 1.86-7.42) and those who have depressive symptoms (AOR = 2.46, 95% CI: 1.08-5.68) were variables associated with premenstrual dysphoric disorders. Conclusion: The prevalence of premenstrual dysphoric disorder was relatively high. Severe menstrual pain, menstrual irregularity, heavy menstrual flow, and a history of depression had significant associations with premenstrual dysphoric disorder. It will be better if higher institution administrators design and implement methods to screen and intervene premenstrual dysphoric disorder among female students.

Utilization of routine health data and its determinants among healthcare workers in public health facilities of harari region, eastern Ethiopia.

BACKGROUND: Routine health information is the pillar of the planning and management of health services and plays a vital role in effective and efficient health service delivery, decision making, and program improvement. Little is known about evidence-based actions to successively advance the use of information for decision making. Therefore, this study aimed to assess the level and determinants of routine health data utilization among health workers in public health facilities in the Harari region, Ethiopia. METHODS: An institutional-based cross-sectional study design was used from June 1 to July 31, 2020. A total of 410 health care providers from two hospitals and five health centers were selected using a simple random sampling technique. Data were collected through a structured questionnaire complemented by an observational checklist. The collected data were thoroughly checked, coding, and entered into Epi-data version 4.6 before being transferred to Stata version 14 for analysis. Frequency and cross-tabulations were performed. To measure factors associated with routine use of health data, bivariate and multivariate logistic regression analyzes were performed. The odds ratio with a 95% CI was calculated, and then a p-value of less than 0.05 was considered significant. RESULT: The general utilization of routine health data was 65.6%. The use of routine health data was significantly associated with healthcare workers who had a positive attitude towards data [AOR = 4 (2.3-6.9)], received training [AOR = 2.1 (1.3-3.6)], had supportive supervision [AOR = 3.6 (2.1-6.2)], received regular feedback [AOR = 2.9 (1.7-5.0)] and perceived a culture of information use [AOR = 2.5 (1.3-4.6)]. CONCLUSIONS: Sixty percent of health professionals had used routine health data utilization. Training, supervision, feedback, and the perceived culture of information were independently associated with the use of routine health data utilization. Therefore, it is critical to focus on improving data utilization practices by addressing factors that influence the use of routine health data.

Coverage and determinants of HIV testing and counseling services among mothers attending antenatal care in sub-Saharan African countries: a multilevel analysis.

BACKGROUND: HIV/AIDS is one of the top global public health threats that causes significant cases, deaths, and socioeconomic impact. Even though both HIV testing and counseling are identified as essential HIV interventions during pregnancy, large population-representative data shows that service coverage and determinants are limited. Therefore, this study aimed to assess the coverage and determinants of HIV testing and counseling services among pregnant mothers attending antenatal care services in sub-Saharan African countries using different nationwide data. METHODS: This study was conducted on large national-representative data from the Demographic Health Survey (DHS) using multilevel analysis. Data extraction, cleaning, coding, and statistical analysis were performed using STATA version 17. Weighting was used to ensure the representativeness of the sample and to obtain reliable estimates and standard errors. The multivariable multilevel logistic regression model was used to identify the determinants of HIV testing and counseling during the antenatal care visit. Adjusted odds ratios with 95% confidence intervals were used to measure statistical significance. RESULTS: A total of 83,584 women attending antenatal care were included in this study. HIV testing and counseling coverage in sub-Saharan Africa was found to be 62.87% with a 95% CI of 62.54-63.19%. The HIV testing and counseling determinants included being in the age group of 35-49 (AOR = 1.64; 95% CI: 1.46-1.83), secondary and above education levels (AOR = 1.50; 95% CI: 1.39-1.60), having at least four ANC visits (AOR = 1.85; 95% CI: 1.68-2.02), living in an urban area (AOR = 1.40; 95% CI: 1.30-1.52), and living in countries such as Rwanda (AOR = 6.19; 95% CI: 5.19-7.38) and Mauritania (AOR = 0.02; 95% CI: 0.01-0.03). CONCLUSION: This study revealed that HIV testing and counseling coverage was 62.87% in sub-Saharan Africa. Factors affecting the HIV testing and counseling coverage were age, education, frequency of antenatal care visits, residence area, and living in Rwanda and Mauritania. Therefore, to increase HIV testing and counseling coverage in sub-Saharan Africa, policymakers on maternal health and other stakeholders should work with an integrated approach with other sectors and give prior attention to modifiable factors such as promoting women's education and the comprehensiveness of antenatal care follow-up services during the follow-up.

Barriers to healthcare data quality and recommendations in public health facilities in Dire Dawa city administration, eastern Ethiopia: a qualitative study.

Background: Maintaining good quality of healthcare data at various levels is a critical challenge in developing countries. The barriers to healthcare data quality remain largely unexplored in eastern Ethiopia. Objective: This study aimed to assess the barriers to quality of healthcare data in urban public health facilities in the Dire Dawa city administration from 7 April to 7 May 2019. Methods: An institutional-based qualitative exploratory approach was used among 17 purposefully selected key informants. In-depth interviews were inductively coded using the ATLAS.ti 7.5.4 version software. Inductive analysis was used by semantically analyzing the explicit content of the data to determine our themes. Results: Several key themes and subthemes with different barriers, some of which are mutually non-exclusive, were identified. These include: Organizational Barriers: Lack of an adequate health management information system and data clerk staff, poor management commitment, lack of post-training follow-up, work overload, frequent duty rotation, lack of incentives for good performers, lack of targeted feedback, and poor culture of information use. Behavioral/Individual Barriers: Gaps in the skill of managers and health professionals, lack of adequate awareness of each indicator and its definitions, inadequate educational competence, lack of feeling of ownership, poor commitment, lack of daily tallying, and lack of value for data. Technical Barriers: Lack of a standard form, diverse and too many data entry formats, manual data collection, shortage of supplies, failure to repair system break down in a timely manner, interruption in electricity and network, delay in digitizing health information systems, lack of post-training follow-up, and inadequate supervision. External Barriers: Poor collaboration between stakeholders, dependence on the software program of non-governmental organizations, and very hot weather conditions. Conclusion: Diverse and complex barriers to maintenance of data quality were identified. Developing standardized health management information system implementation plans, providing advanced supervisory-level training, supportive supervision, and site-level mentorship may be very effective in identifying and resolving bottleneck data quality issues. Healthcare managers should understand the imperative of data quality and accept responsibility for its improvement and maintenance. Interventions targeted only at supplies will not fully overcome limitations to data quality. Motivation of staff and recognition of best performance can motivate others and can create cooperation among staff.

Organizational Communication Skills and Its Associated Factors Among Healthcare Providers Working at Wolaita Sodo Health Facilities, Southern Ethiopia: A Cross-Sectional Study.

Background: Communication in healthcare organizations is an important factor in quality care, patient safety, and financial function. However, there was a dearth of evidence on the organizational communication skills of healthcare providers in Ethiopia, including the current study area, Wolaita Sodo. This study is aimed at assessing the level of organizational communication skills and their associated factors among healthcare providers working at Wolaita Sodo health facilities, SNNPRS, Ethiopia. Methods: An institutional-based cross-sectional study design was conducted. A pretested and structured questionnaire was utilized using the self-administration method. The data were entered into Epi Data version 3.1 and analyzed using STATA version 17.0. Pearson correlation, a binary logistic regression analysis was carried out to identify factors associated with outcome variables. Accordingly, variables that fulfilled p-values <0.25 on the bivariate logistic regression were considered candidates for multivariate logistic regression to control for possible confounders. The odds ratios along with the 95% confidence interval were used to present the finding, and statistical significance was reported at a p-value of 0.05. Results: In the current study, about 45.8% (95% CI: 40.9-50.7) of the health professionals experienced good organizational communication skills. Males [AOR = 2.29; 95% CI = 1.38, 3.82], who had training in communication skills [AOR = 2.30; 95% CI = 1.46, 3.63], and those working at laboratories [AOR = 3.22; 95% CI = 1.07, 9.65] were significantly associated with organizational communication skills. Conclusion: Less than half of the participants practiced good organizational communication skills. Sex, training on communication skills, and working units were important factors affecting the communication skills of healthcare providers. Interventions to improve the communication skills of healthcare providers should be instituted targeting females, those who have never taken training on communication skills, and those who are working at the ward.

Willingness to Receive mHealth Services Among Patients with Diabetes on Chronic Follow-up in Public Hospitals in Eastern Ethiopia: Multicenter Mixed-Method Study.

Background: Management of diabetes requires a long-term care strategy, including support for adherence to a healthy lifestyle and treatment. Exploring the willingness of patients with diabetes to receive mHealth services is essential for designing efficient and effective services. This study aimedto determine willingness to receive mHealth services and associated factors, as well as explore the barriers to receive mHealth services among patients with diabetes. Methods: A multicenter mixed-method study was employed from September 1 to November 30, 2022. For the quantitative part, a total of 365 patients with diabetes receiving chronic follow-up at three public hospitals were enrolled. Data were gathered using structured questionnaires administered by interviewers, entered into Epi-data version 4.6, and analyzed using Stata version 17. A binary and multivariable logistic regression model was computed to identify the associated factors. For qualitative, eight key informants and seven in-depth interviews were conducted. After verbatim transcription and translation, the data were thematically analyzed using ATLAS.ti V. 7.5. Results: Overall, 77.3% had access to a mobile phone, and 74.5% of them were willing to receive mHealth services. Higher odds of willingness to receive mHealth services were reported among patients with an age below 35 years [AOR = 4.11 (1.15-14.71)], attended formal education [AOR = 2.63 (1.19-5.77)], without comorbidity [AOR = 3.6 (1.54-8.41)], <1-hour travel to reach a health facility [AOR = 3.57 (1.03-12.36)], answered unknown calls [AOR = 2.3 (1.04-5.13)], and were satisfied with health-care provider service [AOR = 2.44 (1.04-5.72)]. In the qualitative part, infrastructure, health facilities, socioeconomic factors, and patients' behavioral factors were major identified barriers to receiving mHealth services. Conclusion: In this study, the willingness to receive mHealth services for those who have access to mobile phones increased. Additionally, the study highlighted common barriers to receiving mHealth services.