Anemia and Associated Factors among Pregnant Women Attending Prenatal Care in Rural Dembia District, North West Ethiopia: A cross-Sectional Study.

Introduction: About 22% of pregnant women are anemic in Ethiopia, but there is a large variation across the country. Hence, the aim of this study identifies the prevalence of anemia and associated factors among pregnant women attending prenatal appointments in Dembia District, northwest Ethiopia.Methods and materials: A facility-based, cross-sectional study was conducted among 713 pregnant women. A multi-stage, stratified sampling technique was used to select the study participants. A structured and pretested questionnaire, laboratory data, and chart review were used to collect data. Bivariate and multivariate logistic regression analyses were used to identify factors associated with anemia in pregnant women.Results: Prevalence of anemia was 32.4% with a majority of these having moderate anemia. Type of health center being rural/urban health center, water sources, days since fasting, 4 weeks of iron supplementation, craving unusual foods, mid-upper arm circumference scores, and decision power were significant predictors of anemia.Conclusion: The present study suggests anemia among pregnant women attending prenatal in Dembia district was high. Working to enhance adherence to iron supplementation and partner involvement for joint decision-making is recommended to avert prenatal anemia. Health-care providers and programmers are advised to pay special attention to rural and fasting pregnant mothers.Abbreviations: AOR: Adjusted Odd Ratio; CMHS: College of medicine and health sciences; CI: Confidence Interval; HFIAS: Household Food Insecurity Access Scale; RCSI: Reduced Coping Strategies Index; Hgb: Hemoglobin; MCMC: Marco Chain Monte Carlo; EPV: Events per variable; BMI: Body Mass Index; PPS: Population proportionate to size sampling; SRS: simple random sampling; DALYS: Disability-adjusted life years; MUAC: Mid-upper-arm-circumference; WHO: World Health Organization; EDHS: Ethiopian Demographic and Health Survey; SPSS: Statistical package for social science; ANC: Ante natal care; PCA: Principal component analysis; MASL: Meter above sea level; g/dl: gram per decilitre HALE: Health Action Leicester Ethiopia; WDDS: Women's Dietary Diversity Scale.

Routine health information utilization and associated factors among health care professionals working at public health institution in North Gondar, Northwest Ethiopia.

BACKGROUND: Routine health information systems (RHIS) are vital for the acquisition of data for health sector planning, monitoring, and evaluation. However, in developing countries the insufficient quality of the data produced by RHIS limits their usefulness in decision-making. As routine health information utilization is still low in Ethiopia, this study aimed to assess the magnitude of routine health data utilization and associated factors among health care professionals in some public health institutions in North Gondar, northwest Ethiopia. METHODS: An institution based cross-sectional study was conducted from March to April2017, at public health institutions of North Gondar Zone, northwest Ethiopia. A total of 720 health care professionals were selected from public health institutions using the multi-stage sampling technique. Data were collected using a structured self-administered questionnaire and an observational checklist, cleaned, coded, and entered into Epi-info version 3.5.3 and transferred into SPSS version 20 for further statistical analysis. In the multiple logistic regression analysis, a less than 0.05 P-vale was considered statistically significant. RESULT: In this study, the level of good routine health information utilization among health professionals was 78.5% (95% CI: 73.2%, 84.3%). According to the multivariable logistic regression analysis, sex (AOR = 2.19, 95% CI: 1.47, 3.27), type of institution (AOR = 3.57, 95% CI: 2.39, 5.32), standard indicators (AOR = 3.28, 95% CI: 1.90, 5.65), data analysis skills (AOR = 1.90, 95% CI: 1.12, 3.23), and good governance (AOR = 1.97, 95% CI: 1.31, 2.95), were found significantly associated with a good level of health information utilization. CONCLUSION: Over three-fourths of the health care professionals working at public health institutions of North Gondar utilized health information better than the respondents in previous studies. Sex, type of institution, standard indicators, data analysis skills, and governance were factors related to routine health information utilization. Therefore, standard indicators, data analysis skills and good governance are highly recommended for improving routine health data utilization of health care professionals working at public health institutions.

Community-based health insurance and communities' scheme requirement compliance in Thehuldere district, northeast Ethiopia: cross-sectional community-based study.

BACKGROUND: Community-based health insurance (CBHI) is becoming a prominent and promising concept in tackling financial health care issues confronting the poor rural communities in developing countries. Ethiopia endorsed and constituted CBHI schemes in 13 pilot "woredas" in 2010/11. This study aimed to assess the compliance of the community to CBHI scheme requirements in Thehuledere district, northeast Ethiopia. METHODS: A community-based cross-sectional study was conducted among 530 respondents between April and June 2015 in Thehuledere District, South Wollo Zone, northeast Ethiopia. A systematic random sampling technique was deployed to select the study participants. A self-administered, structured, pre-tested questionnaire was used to collect the data. Bivariate and multivariate logistic regression analyses were used to identify factors associated with CBHI compliance. RESULTS: A total of 511 study participants were included in the study. Approximately 77.9% of the study population complied with CBHI requirements: members' age (AOR = 0.74, 95% CI: 0.62-0.8), premium fee affordability (AOR: 2.66, 95% CI: [1.13-4.42]), members' occupation (AOR = 0.14, 95% CI: 0.04-0.45), members' attitude toward CBHI management (AOR = 2.11 [1.14-3.90]), and CBHI members' knowledge (AOR = 0.24, 95% CI: [0.13-0.42]) were found to be major predictors of community compliance to CBHI requirements. CONCLUSION: CBHI requirement compliance at the early stage was relatively high. We observed that members' age, premium fee affordability, occupation, attitude, and knowledge were significant predictors. CBHI management's involvement in awareness creation and training on requirements of the CBHI scheme would contribute to better outcomes and success.

Knowledge and utilization of information communication technology (ICT) among health science students at the University of Gondar, North Western Ethiopia.

BACKGROUND: Despite the relatively huge ICT investment and policy deployment in higher institutions in Ethiopia, there is still scant information about the success of implementation of the Information Communication Technology (ICT) in the higher education. This study, therefore, was carried out with an aim to assess knowledge and utilization of Information Communication Technology (ICT) among medicine and health science students and its associated factors in Gondar College of Medicine and Health sciences, University of Gondar. METHODS: A cross-sectional study was conducted at the College of Medicine and Health Sciences, University of Gondar, Ethiopia. Data regarding socio-demographic characteristics of the students, level of knowledge and utilization of ICT were collected by means of a self-administered questionnaire. Data was analyzed using SPSS version 13. RESULTS: A total of 1096 students responded giving a response rate of 97.8%. The mean age of the study participants was 20.3 (±1. 3) years. Females constitute only 26% of the respondents. The majority (79%) were fulltime students. Only half of the respondents (51%) had ICT knowledge and only 46% students utilized ICT while 47% of the respondents never used electronic communication (e.g. email or chat room) and 39% of the respondents never used Microsoft office (e.g. word (®) or WordPerfect (®)). ICT knowledge [AOR = 2.5, 95% CI: 1.7-3.5], family educational background [AOR = 4.36, 95% CI: 2.16-8.80], and perceived quality of training [AOR = 1.9, 95% CI: 1.3-2.8] showed strong and positive associations with ICT utilization. Students from urban areas were more likely to utilize ICT compared with those from rural areas [AOR = 2.7, 95% CI: 2.097, 3.497], and information technology training was found to be positively associated with ICT utilization [AOR = 2. 07, 95% CI: 1.18, 3.62]. CONCLUSIONS: The result showed that students' knowledge was inadequate and utilization of ICT was poor. Therefore, the university should sustain professional development to improve teaching, to raise student performance and equip the college with student centered ICT computer labs to increase students' ICT utilization.