Intention to Use an Electronic Community Health Information System Among Health Extension Workers in Rural Northwest Ethiopia: Cross-Sectional Study Using the Unified Theory of Acceptance and Use of Technology 2 Model.

BACKGROUND: IT has brought remarkable change in bridging the digital gap in resource-constrained regions and advancing the health care system worldwide. Community-based information systems and mobile apps have been extensively developed and deployed to quantify and support health services delivered by community health workers. The success and failure of a digital health information system depends on whether and how it is used. Ethiopia is scaling up its electronic community health information system (eCHIS) to support the work of health extension workers (HEWs). For successful implementation, more evidence was required about the factors that may affect the willingness of HEWs to use the eCHIS. OBJECTIVE: This study aimed to assess HEWs' intentions to use the eCHIS for health data management and service provision. METHODS: A cross-sectional study design was conducted among 456 HEWs in 6 pilot districts of the Central Gondar zone, Northwest Ethiopia. A Unified Theory of Acceptance and Use of Technology model was used to investigate HEWs' intention to use the eCHIS. Data were cleaned, entered into Epi-data (version 4.02; EpiData Association), and exported to SPSS (version 26; IBM Corp) for analysis using the AMOS 23 Structural Equation Model. The statistical significance of dependent and independent variables in the model was reported using a 95% CI with a corresponding P value of <.05. RESULTS: A total of 456 HEWs participated in the study, with a response rate of 99%. The mean age of the study participants was 28 (SD 4.8) years. Our study revealed that about 179 (39.3%; 95% CI 34.7%-43.9%) participants intended to use the eCHIS for community health data generation, use, and service provision. Effort expectancy (ß=0.256; P=.007), self-expectancy (ß=0.096; P=.04), social influence (ß=0.203; P=.02), and hedonic motivation (ß=0.217; P=.03) were significantly associated with HEWs' intention to use the eCHIS. CONCLUSIONS: HEWs need to be computer literate and understand their role with the eCHIS. Ensuring that the system is easy and enjoyable for them to use is important for implementation and effective health data management.

Individual and contextual level enablers and barriers determining electronic community health information system implementation in northwest Ethiopia.

BACKGROUND: The government of Ethiopia has envisioned digitalizing primary healthcare units through the electronic community health information system (eCHIS) program as a re-engineering strategy aiming to improve healthcare data quality, use, and service provision. The eCHIS is intended as a community-wide initiative to integrate lower health structure with higher administrative health and service delivery unit with the ultimate goal of improving community health. However, the success or failure of the program depends on the level of identifying enablers and barriers of the implementation. Therefore, this study aimed to explore individual and contextual-level enablers and barriers determining eCHIS implementation. METHOD: We conducted an exploratory study to determine the enablers and barriers to successfully implementing eCHIS in rural Wogera district, northwest Ethiopia. In-depth interviews and key informant interviews were applied at participants from multiple sites. A thematic content analysis was conducted based on the key themes reported. We applied the five components of consolidated framework for implementation research to interpret the findings. RESULTS: First, based on the intervention's characteristics, implementers valued the eCHIS program. However, its implementation was impacted by the heavy workload, limited or absent network and electricity. Outer-setting challenges were staff turnover, presence of competing projects, and lack of incentive mechanisms. In terms of the inner setting, lack of institutionalization and ownership were mentioned as barriers to the implementation. Resource allocation, community mobilization, leaders' engagement, and availability of help desk need emphasis for a better achievement. With regard to characteristics of the individuals, limited digital literacy, older age, lack of peer-to-peer support, and limited self-expectancy posed challenges to the implementation. Finally, the importance of mentoring and engaging community and religious leaders, volunteers, having defined plan and regular meetings were identified elements of the implementation process and need emphasis. CONCLUSION: The findings underlined the potential enablers and barriers of eCHIS program for quality health data generation, use, and service provision and highlighted areas that require emphasis for further scale-up. The success and sustainability of the eCHIS require ongoing government commitment, sufficient resource allocation, institutionalization, capacity building, communication, planning, monitoring, and evaluation.

Utilization of optimal antenatal care, institutional delivery, and associated factors in Northwest Ethiopia.

Optimal antenatal care visits (ANC4+) and institutional delivery are essentials to save lives of the women and the baby during pregnancy and delivery. Though focused antenatal care visits and institutional delivery is recommended by World Health Organization, Ethiopia has sub-optimal antenatal care and lagged facility delivery. A community-based cross-sectional study was conducted among 811 lactating women in Northwest Ethiopia. Multivariable logistic regression analysis was performed using 95% confidence level and p < 0.05. The prevalence of optimal antenatal care visits and institutional delivery were 39.6% (95%CI: 36.2-43) and 62.6% (95%CI: 59.2-66), respectively. Maternal education (AOR = 2.05; 95%CI: 1.14, 3.69), home visiting by health extension workers (AOR = 1.57; 95%CI: 1.01, 2.29), and early antenatal care booking (AOR = 11.92; 95%CI: 8.22, 17.31) were significant predictors of optimal antenatal care. Exposure to mass media (AOR = 1.65; 95% CI: 1.02, 2.65); intended pregnancy(AOR = 1.68; 95%CI:1.12, 3.63); parity of one (AO = 3.46; 95% CI: 1.73, 6.89); 1-3 antenatal care visits (AOR = 2.17; 95% CI: 1.29, 3.63); and ANC4 + (AOR = 3.57; 95% CI: 2.07, 6.14); history of pregnancy-related complications(AOR = 1.63; 95%CI: 1.04, 2.57), and access to transportation to reach a health facility(AOR = 1.58; 95%CI: 1.00, 2.45) were significant predictors of institutional delivery. Addressing the modifiable factors identified in this study could improve optimal antenatal care visit and institutional delivery.

Why maternal continuum of care remains low in Northwest Ethiopia? A multilevel logistic regression analysis.

BACKGROUND: Non-adherence to the maternal continuum of care remains a significant challenge. Though early initiation and continuum of care are recommended for mothers' and newborns' well-being, there is a paucity of evidence that clarify this condition in resource-limited settings. This study aimed to assess the level of women's completion of the maternal continuum of care and factors affecting it in Northwest Ethiopia. METHODS: A community-based cross-sectional study was conducted from October to November, 2020. Data were collected from 811 women who had a recent history of birth within the past one year. The random and fixed effects were reported using an adjusted odds ratio with a 95% confidence interval. The p-value of 0.05 was used to declare significantly associated factors with women's completion of the maternal continuum of care. RESULTS: The study revealed that 6.9% (95%CI: 5.3-8.9%) of women were retained fully on the continuum of maternal care, while 7.89% of women did not receive any care from the existing healthcare system. Attending secondary and above education (AOR = 3.15; 95%CI: 1.25,7.89), membership in the women's development army (AOR = 2.91; 95%CI: 1.56,5.44); being insured (AOR = 2.59; 95%CI: 1.33,5.01); getting health education (AOR = 2.44; 95%CI: 1.33,4.45); short distance to health facility (AOR = 4.81; 95%CI: 1.55,14.95); and mass-media exposure (AOR = 2.39; 95%CI: 1.11,5.15) were significantly associated with maternal continuum of care. CONCLUSIONS: The maternal continuum of care is low in rural northwest Ethiopia compared to findings from most resource-limited settings. Therefore, the existing health system should consider multilevel intervention strategies that focus on providing maternal health education, facilitating insurance mechanisms, encouraging women's participation in health clubs, and ensuring physical accessibility to healthcare facilities to be more effective in improving maternal health services.

Level of health data quality and information use, and contributing factors in the Benishangul Gumuze Region, west Ethiopia: using social ecological framework

Background: Creating responsibility for quality healthcare data and utilization are among the basic functions of leadership. While the benefits of data quality and use are well known, the evidence around the role of healthcare information systems leadership and governance in sustaining data demand and use is limited. Therefore, this study aimed to investigate the level and contributing factors of health data quality and information use in Assosa district, Benishangule Gumuze Region. Methods: A mixed approach design, using qualitative exploration and a facility-based quantitative cross-sectional approach was used. Seventeen departments from two health facilities were enrolled for the quantitative component, while 28 in-depth interviews were conducted to complete the qualitative part of the study. A phenomenological approach was used to explore factors influencing the quality and use of health data. Quantitative data was analyzed descriptively using tables and graphs, whereas qualitative data was analyzed using content analysis guided by the framework for the social ecological model. Results: The average levels of information use and report accuracy were 38.6 and 119.33, respectively. Three themes emerged, explaining the main factors that influence quality data generation: individual characteristics, facility and environmental factors, and leadership and governance characteristics. Individual characteristics were motivation, capacity building, commitment, and digital literacy, while facility and environmental factors included infrastructure, healthcare information system resources and supportive supervision. Furthermore, among the leadership and governance related factors, healthcare data, assigning the right person, and system regulation were some of the factors which were identified. Conclusions: The level of health data quality and its utilization was low during the Asossa city adminstration. The unfriendly physical and organizational working environments and high staff turnover which negatively affected the leadership and governance of the health system are some of the reasons which were sighted with regards to the poor quality of data and information use. Therefore, interventions that have multifaceted effects on data quality and use, such as improving leadership and governance practices and behavior should be implemented. [Ethiop. J. Health Dev. 2022;36 (SI-1)]

Understanding performance data: health management information system data accuracy in Southern Nations Nationalities and People's Region, Ethiopia.

BACKGROUND: Health management information system (HMIS) is a system whereby health data are recorded, stored, retrieved and processed to improve decision-making. HMIS data quality should be monitored routinely as production of high quality statistics depends on assessment of data quality and actions taken to improve it. Thus, this study assessed accuracy of the routine HMIS data. METHODS: Facility based cross-sectional study was conducted in Southern Nations Nationalities and People's region in 2017. Document review was done in 163 facilities of different levels. Statistical Package for the Social Sciences (SPSS) for windows version 20 was used to perform data analysis. Data accuracy was presented in terms of mean and standard deviation of data verification factor. RESULTS: Though inaccuracy was noted for all data elements, 96.9 and 84.7% of facilities reported institutional maternal death and skilled birth attendance within acceptable range respectively while confirmed malaria (45.4%), antenatal care fourth visit (46.6%), postnatal care (55.2%), fully immunized (55.8%), severe acute malnutrition (54.6%) and total malaria (50.3%) were reported accurately only by about half of facilities. Antenatal care fourth visit was over reported by 24% while total malaria was under reported by 28%. Reasons for variations included technical, behavioral and organizational factors. CONCLUSIONS: Majority of facilities over reported services while under reporting diseases. Data quality should be monitored routinely against data quality parameters quantitatively and/or qualitatively to catch-up country's information revolution agenda.