45 research outputs found
Socioeconomic Status and Hypertension among Teachers and Bankers in Addis Ababa, Ethiopia
Background. The social and economic changes taking place in developing countries are influencing the pace at which hypertension and its risk factors are expanding. As opposed to the already established inverse association in developed nations, the association between socioeconomic status and hypertension in developing countries is poor and inconsistent. This study aims to determine the association between socioeconomic status and hypertension among teachers and bankers in Addis Ababa, Ethiopia. Methods. This study is based on a cross-sectional study conducted to assess the prevalence of NCDs in Addis Ababa, Ethiopia. The study was undertaken among workers of the Commercial Bank of Ethiopia and teachers of public schools in 2010. Results. Majority of participants were teachers (70.3%). Most of the respondents (54.1%) earn an annual income between 15,000 ETB and 48,000 ETB, and 51.9% of them have educational status of first degree and above. Among the socioeconomic factors income was strongly associated with the odds of having hypertension (AOR: 2.17 with 95% CI: 1.58-2.98). Conclusions. Higher burden of hypertension is observed among teachers and bankers in Addis Ababa, Ethiopia. Promotion of healthy behaviors and interventions that target higher income groups needs to be put in place
Assessment of Diarrheal Disease Prevalence and Associated Risk Factors in Children of 6-59 Months Old at Adama District Rural Kebeles, Eastern Ethiopia, January/2015.
BACKGROUND: Diarrheal disease is the commonchildhood illness and a leading killer of children aged under 5 years, especially in developing countries like Ethiopia. The aim of this study was to assess the prevalence of diarrheal disease and associated risk factors among children of 6-59 months old at Adama district rural kebeles, Eastern Ethiopia. METHODS: Community based cross sectional study design was conducted in January/2015. Descriptive method was used to describe study variables quantitatively and explanatory method to identify the effect of determinant factors on diarrheal disease occurrence. A single population proportion sample size formula was applied. Random sampling procedure was used by lottery method to select five kebeles and 442 house-holds. Data was collected by using pretested, structured questionnaires through interview and observational checklist by trained data collectors. Double entry was made to epi-info 3.5.3 and & transferred to SPSS20 for analysis. RESULT: The two weeks' period prevalence of diarrheal disease in children aged 6 to59 months was 14.7%; 95%CI [11.5-18.1]. mother/caregiver who did not practice hand washing during the critical time was the only factor identified to be significantly associated with AOR=2.2; 95%CI [1.0-4.7] for the child hood diarrheal disease occurrence at Adama distict rural kebeles. CONCLUSION: Diarrheal disease prevalence is changed by child's caregiver hand washing practice during critical time. Health education for child's caregiver on hand washing practice during critical time is an important intervention for the prevention of diarrheal disease prevalence among children
How to Improve Maternal Health Service Utilisation in Ethiopia
In Ethiopia, as in many other low income countries, maternal morbidity and mortality is unacceptably high. Due to this high burden and its grave consequences, maternal health is one of the top priorities in the national health agenda, thus receiving the most attention
How to Improve Child Health Service Utilisation in Ethiopia
Ethiopia successfully achieved Millennium Development Goal 4 of reducing under five mortality by more than two-thirds between 1990 and 2015. Adoption of the health extension programme, and implementation of the integrated management
of neonatal and childhood illnesses (IMNCI) and the integrated community case management (iCCM) models of care, contributed to this achievement. However, child mortality remains high at 67 per 1,000 live births. The top six major causes
of child morbidity and mortality are pneumonia, malaria, diarrheal diseases, malnutrition-associated illnesses, measles and perinatal causes
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Prevalence and Correlates of Mental Distress Among Working Adults in Ethiopia
Objective: To evaluate the prevalence of mental distress and its correlates among working Ethiopian adults. Methods: This cross-sectional study of 2,180 individuals (1,316 men and 864 women) was conducted among working adults in Addis Ababa, Ethiopia. A structured questionnaire was used to collect information on socio-demographic and lifestyle characteristics of participants. Mental distress was assessed using the self-reporting questionnaire (SRQ). Logistic regression was employed to estimate adjusted odds ratios (OR) and 95% confidence intervals (95% CI). Results: The prevalence of mental distress in the study sample was 17.7% (25.9% in women and 12.4% in men). Younger participants (age ≤24 years) had the highest prevalence of mental distress (35.5% in women and 16.7% in men). The odds of mental distress was 2.47-fold higher among women as compared with men (OR=2.47, 95% CI 1.97-3.09). Participants reporting excellent health status had a 50% reduced odds of mental distress (OR=0.47; 95%CI: 0.38-0.59); and moderate alcohol consumption was associated with a slight increased odds of mental distress (OR=1.26; 95%CI: 1.00-1.67). Conclusion: A high prevalence of mental distress was observed among working adults in Ethiopia. Our findings suggest that the workforce institutions should provide targeted prevention and intervention programs to improve the mental health state of their employees. National mental health policy that clearly outlines and addresses mental distress among working adults is also warranted
Improving quality and use of routine health information system data in low- and middle-income countries: A scoping review.
BACKGROUND: A routine health information system is one of the essential components of a health system. Interventions to improve routine health information system data quality and use for decision-making in low- and middle-income countries differ in design, methods, and scope. There have been limited efforts to synthesise the knowledge across the currently available intervention studies. Thus, this scoping review synthesised published results from interventions that aimed at improving data quality and use in routine health information systems in low- and middle-income countries. METHOD: We included articles on intervention studies that aimed to improve data quality and use within routine health information systems in low- and middle-income countries, published in English from January 2008 to February 2020. We searched the literature in the databases Medline/PubMed, Web of Science, Embase, and Global Health. After a meticulous screening, we identified 20 articles on data quality and 16 on data use. We prepared and presented the results as a narrative. RESULTS: Most of the studies were from Sub-Saharan Africa and designed as case studies. Interventions enhancing the quality of data targeted health facilities and staff within districts, and district health managers for improved data use. Combinations of technology enhancement along with capacity building activities, and data quality assessment and feedback system were found useful in improving data quality. Interventions facilitating data availability combined with technology enhancement increased the use of data for planning. CONCLUSION: The studies in this scoping review showed that a combination of interventions, addressing both behavioural and technical factors, improved data quality and use. Interventions addressing organisational factors were non-existent, but these factors were reported to pose challenges to the implementation and performance of reported interventions
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The Epidemiology of Sleep Quality, Sleep Patterns, Consumption of Caffeinated Beverages, and Khat Use among Ethiopian College Students
Objective:. To evaluate sleep habits, sleep patterns, and sleep quality among Ethiopian college students; and to examine associations of poor sleep quality with consumption of caffeinated beverages and other stimulants. Methods:. A total of 2,230 undergraduate students completed a self-administered comprehensive questionnaire which gathered information about sleep complaints, sociodemographic and lifestyle characteristics,and theuse of caffeinated beverages and khat. We used multivariable logistic regression procedures to estimate odds ratios for the associations of poor sleep quality with sociodemographic and behavioral factors. Results:. Overall 52.7% of students were classified as having poor sleep quality (51.8% among males and 56.9% among females). In adjusted multivariate analyses, caffeine consumption (OR = 1.55; 95% CI: 1.25–1.92), cigarette smoking (OR = 1.68; 95% CI: 1.06–2.63), and khat use (OR = 1.72, 95% CI: 1.09–2.71) were all associated with increased odds of long-sleep latency (>30 minutes). Cigarette smoking (OR = 1.74; 95% CI: 1.11–2.73) and khat consumption (OR = 1.91; 95% CI: 1.22–3.00) were also significantly associated with poor sleep efficiency (<85%), as well as with increased use of sleep medicine. Conclusion:. Findings from the present study demonstrate the high prevalence of poor sleep quality and its association with stimulant use among college students. Preventive and educational programs for students should include modules that emphasize the importance of sleep and associated risk factors
Strengthening routine health data analysis in Ethiopia: the Operational Research and Coaching for Analysts (ORCA) experience.
Many routine health information systems (RHIS) show persistent gaps between recording and reporting data and their effective use in solving problems. Strengthening RHIS has become a global priority to track and address national health goals. In Ethiopia, the Ministry of Health and Bill & Melinda Gates Foundation introduced the Operational Research and Coaching for Analysts (ORCA) capacity development project, co-designed with the London School of Hygiene & Tropical Medicine, which delivered training, coaching and mentoring support. We present the development, experiences, and perceptions of ORCA as a mechanism to enhance data quality, analysis, interpretation and use. ORCA integrated capacity development activities into national data analysts' routine workload over a period of 2 years. Participating analysts were drawn from across the Ministry of Health directorates and two of its closely aligned agencies: the Ethiopian Public Health Institute and the Ethiopian Pharmaceutical Supply Agency. We used mixed methods (knowledge questionnaire, semi-structured interviews, programme records) to document the fidelity, feasibility, reach, and acceptability of ORCA and identify early signs of improved knowledge and changing institutional practices. Thirty-six participants completed the programme. Working in interdisciplinary groups on specific national health indicators, they received training workshops and support for study design, fieldwork, and analysis to build skills in assessing data quality and interpreting findings relevant to policy. Personal development grants and laptops provided incentives for sustained engagement. Participants appreciated ORCA's applied and practical approach as well as good communication from administrators and clear links to national strategy. They also expressed frustration with delays, difficulties prioritising project work over routine responsibilities, and lack of formal accreditation. Knowledge and analytic skills increased and participants were able to integrate experiences from the project into their future work. Health system managers saw potential in longer-term improvements in data analysis and application to policy, although no clear changes were observed yet
Individual, organizational and system circumstances, and the functioning of a multi-country implementation-focused network for maternal, newborn and child health: Bangladesh, Ethiopia, Malawi, and Uganda
Better policies, investments, and programs are needed to improve the integration and quality of maternal, newborn, and child health services. Previously, partnerships and collaborations that involved multiple countries with a unified aim have been observed to yield positive results. Since 2017, the WHO and partners have hosted the Quality of Care Network [QCN], a multi-country implementation network focused on improving maternal, neonatal, and child health care. In this paper, we examine the functionality of QCN in different contexts. We focus on implementation circumstances and contexts in four network countries: Bangladesh, Ethiopia, Malawi, and Uganda. In each country, the study was conducted over several consecutive rounds between 2019-2022, employing 227 key informant interviews with major stakeholders and members of the network countries, and 42 facility observations. The collected data were coded using Nvivo-12 software and categorized thematically. The study showed that individual, organizational and system-level circumstances all played an important role in shaping implementation success in network countries, but that these levels were inter-linked. Systems that enabled leadership, motivated and trained staff, and created a positive culture of data use were critical for policy-making including addressing financing issues-to the day-to-day practice improvement at the front line. Some characteristics of QCN actively supported this, for example, shared learning forums for continuous learning, a focus on data and tracking progress, and emphasising the importance of coordinated efforts towards a common goal. However, inadequate system financing and capacity also hampered network functioning, especially in the face of external shocks
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Construct Validity and Factor Structure of the Pittsburgh Sleep Quality Index and Epworth Sleepiness Scale in a Multi-National Study of African, South East Asian and South American College Students
Background: The Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS) are questionnaires used to assess sleep quality and excessive daytime sleepiness in clinical and population-based studies. The present study aimed to evaluate the construct validity and factor structure of the PSQI and ESS questionnaires among young adults in four countries (Chile, Ethiopia, Peru and Thailand). Methods: A cross-sectional study was conducted among 8,481 undergraduate students. Students were invited to complete a self-administered questionnaire that collected information about lifestyle, demographic, and sleep characteristics. In each country, the construct validity and factorial structures of PSQI and ESS questionnaires were tested through exploratory and confirmatory factor analyses (EFA and CFA). Results: The largest component-total correlation coefficient for sleep quality as assessed using PSQI was noted in Chile (r = 0.71) while the smallest component-total correlation coefficient was noted for sleep medication use in Peru (r = 0.28). The largest component-total correlation coefficient for excessive daytime sleepiness as assessed using ESS was found for item 1 (sitting/reading) in Chile (r = 0.65) while the lowest item-total correlation was observed for item 6 (sitting and talking to someone) in Thailand (r = 0.35). Using both EFA and CFA a two-factor model was found for PSQI questionnaire in Chile, Ethiopia and Thailand while a three-factor model was found for Peru. For the ESS questionnaire, we noted two factors for all four countries Conclusion: Overall, we documented cross-cultural comparability of sleep quality and excessive daytime sleepiness measures using the PSQI and ESS questionnaires among Asian, South American and African young adults. Although both the PSQI and ESS were originally developed as single-factor questionnaires, the results of our EFA and CFA revealed the multi- dimensionality of the scales suggesting limited usefulness of the global PSQI and ESS scores to assess sleep quality and excessive daytime sleepiness