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Background A minimum of one ultrasound scan is recommended for all pregnant women before the 24th week of gestation. In Ethiopia, there is a shortage of skilled manpower to provide these services. Currently, trained mid-level providers are providing the services at the primary healthcare level. Methods A pre and post intervention observational study was conducted to understand maternal health service utilization rates before and after institutionalizing Vscan access limited obstetric ultrasound services between 2017 and 2020. Results The observed monthly increase on the mean rank of first ANC visits after the introduction of Vscan limited obstetric ultrasound services shows a statistically significant difference at KW-ANOVA H (3) =17.09, P=0.001. The mean rank of fourth ANC utilization increment shows statistically significant difference at KW- ANOVA H (3) =16.24, P=0.001. The observed mean rank in skilled birth attendance shows a statistically significant positive difference using KW-ANOVA H (3) =23.6, P

Background A minimum of one ultrasound scan is recommended for all pregnant women before the 24th week of gestation. In Ethiopia, there is a shortage of skilled manpower to provide these services. Currently, trained mid-level providers are providing the services at the primary healthcare level. The aims of this study were to compare antenatal care 1 (ANC1), antenatal care 4 (ANC4), skilled birth attendance (SBA), and postnatal care (PNC) service utilization before and after institutionalizing Vscan limited obstetric ultrasounds at semi-urban health centers in Ethiopia. Methods A pre and post intervention observational study was conducted to investigate maternal and neonatal health service utilization rates before and after institutionalizing Vscan limited obstetric ultrasound services, between July 2016 and June 2020. The data were extracted from 1st August– 31st December 2020. Results The observed monthly increase on the mean rank of first ANC visits after the introduction of Vscan limited obstetric ultrasound services showed a statistically significant difference at KW-ANOVA H (3) = 17.09, P = 0.001. The mean rank of fourth ANC utilization showed a statistically significant difference at KW- ANOVA H (3) = 16.24, P = 0.001. The observed mean rank in skilled birth attendance (SBA) showed a statistically significant positive difference using KW-ANOVA H (3) = 23.6, P Conclusion The introduction of limited obstetric ultrasound services by trained mid-level providers at the primary healthcare level was found to have improved the utilization of ANC, SBA, and postnatal care (PNC) services. It is recommended that the institutionalization of limited obstetric ultrasound services be scaled up and a further comparative study between facilities with and without ultrasound services be conducted to confirm causality and assess effects on maternal and perinatal outcomes.

Background Ethiopia is a low-income country located in the horn of Africa’s sub-Saharan region, with very high incidences of maternal and neonatal mortality. Quality antenatal care improves perinatal health outcomes. The USAID funded Transform: Primary Health Care Activity in collaboration with the Ministry of Health and GE Healthcare introduced Vscan limited obstetric ultrasound services in 120 health centers in Ethiopia. So far, the experiences and opinions of midwives on their use have not been explored and described within the local context. This study therefore aims to explore and describe the experiences and opinions of midwives on Vscan limited obstetric ultrasound services at health centers within Ethiopia. Methods An exploratory and descriptive qualitative study was conducted in Amhara, Oromia, and Southern Nations, Nationalities and Peoples’ (SNNP) regions of Ethiopia. Twenty-four participants were selected through a purposeful sampling technique. In-depth individual interviews with trained midwives with practical hands-on limited obstetric ultrasound service provision experience were conducted. The thematic analysis was conducted manually. Results The qualitative data analysis on the experiences and opinions of midwives revealed three themes, namely: individual perception of self-efficacy, facilitators, and barriers of limited obstetric ultrasound services. The basic ultrasound training, which was unique in its organization and arrangement, prepared and built the self-efficacy of trainees in executing their expected competencies. Support of health systems and health managers in dedicating space, availing essential supplies, and assigning human resources emerged as facilitators of the initiated limited obstetric ultrasound services, whereas high workload on one or two ultrasound trained midwives, interruption of essential supplies like paper towels, gel, and alternative power sources were identified as barriers for limited ultrasound services. Conclusion This study explored the experiences and opinions of midwives who were trained on the provision of limited obstetric ultrasound services and served the community in health centers in rural parts of Ethiopia. The results of this study revealed the positive impacts of the intervention on the perceived self-efficacy, facilitation, and breaking-down of barriers to obstetric ultrasound services. Before scaling-up limited obstetric ultrasound interventions, health managers should ensure and commit to availing essential supplies (e.g., paper towels, ultrasound gel, and large memory hard discs), arranging private rooms, and training other mid-level health professionals. In addition, improving pregnant women’s literacy on the national schedule for ultrasound scanning services is recommended.

Community-based health insurance (CBHI) as a demand-side intervention is presumed to drive improvements in health services quality, and the quality of health services is an important supple-side factor in motivating CBHI enrollment and retention. There is, however, limited evidence on this interaction. This study examined the interaction between quality of health services and CBHI enrollment and renewal. A mixed-method comparative study was conducted in four agrarian regions of Ethiopia. The study followed the Donabedian model to compare quality of health services in health centers located in woredas/districts that implemented CBHI with those that did not. Data was collected through facility assessments, client-exit interviews, and key informant interviews. In addition to manual thematic analysis of qualitative data, quantitative descriptive and inferential analyses were done using SPSS vs 25. The process related (composite index including provider-client interpersonal communication) and outcome related (client satisfaction) measures of service quality in CBHI woreda/districts differed significantly from non-CBHI woredas/districts, but there were no significant differences in overall measures of structural quality between the two. The study found better diagnostic test capacity, availability of tracer drugs, provider interpersonal communication, and service quality standards in CBHI woredas. A higher proportion of clients at CBHI health centers gave high ratings of overall satisfaction with services. Individual and household factors including family size, age, household health care-related expenditures, and educational status, played a more significant role in CBHI enrollment and renewal decisions than health service quality. Key-informants reported in interviews that participation in the scheme increased accountability of health facilities in CBHI woredas/districts, because they promised to provide quality services using the CBHI premium collected at the beginning of the year from all enrolled households. This study indicates a need for follow-up research to understand the nuanced linkages between quality of care and CBHI enrollment.

BackgroundCOVID-19 is a global public health emergency, that has had massive implications on the ability of health systems to avail essential services both during and after the emergency. An effective response thus requires an agile health system that can adjust, reorganize, transform or modify in response to shocks and stress, and to recover quickly in the aftermath. This study aims to identify the major attributes that health systems needed to be adaptable in early stages of the COVID-19 pandemic, as observed in selected primary health care facilities in Ethiopia. MethodsThis study employed a retrospective cross-sectional study design based on the ‘ready, willing and able’ framework for health system resilience. The assessment used two independent, concurrently administrated instruments. A total of 163 health centers were visited from April to June 2020. ResultsThe overall mean score for COVID-19 preparedness was 73.1±16.1 standard deviation (SD) and it ranged from 28.9 to 99.9 out of 100. The mean score for the ‘ready’ dimension of preparedness was 75.1±19.1 SD, for the ‘willing’ dimension it was 61.6±24.6 SD and for the ‘able’ dimension the score was 82.8±21.0 SD. Multivariable linear regression analysis showed that levels of functionality of governing, and management systems, integration of emergency responses into the routine system, and prior experience of implementing quality improvement efforts were positively associated with COVID-19 preparedness. ConclusionHealth system resilience is a result of investments made prior to any incidents to ensure that the system is prepared for unpredicted shocks. Early adaptation required to contain the effects of COVID-19 may be considered as a litmus test to understand the capacity of primary health care facilities in Ethiopia to withstand future health system stressors.

Background A twinning partnership is a formal and substantive collaboration between two districts to improve their performance in providing primary healthcare services. The ‘win-win’ twinning partnership pairs are categorized under relatively high and low-performing districts. The purpose of this formative evaluation is to use the empirically derived systems model as an analytical framework to systematically document the inputs, throughputs and outputs of the twinning partnership strategy. Methods This explanatory sequential mixed method study design was conducted from October 2018 to September 2019, in Amhara, Oromia, Southern, Nations, Nationalities and Peoples’ (SNNP) and Tigray regions. The quantitative research approach used an observational design which consists of three measurements: at baseline (October 2018), midterm (March 2019) and end-line (September 2019), and the qualitative approach employed a case study. Qualitative data was collected using interviewer-guided semi-structured interview tools. The data were transcribed verbatim, translated from Amharic and Afan Oromo into English and analyzed through a theoretical framework named the Bergen Model of Collaborative Functioning (BMCF). Quantitative data were extracted from routine health management information system. The results are presented as averages, percentages and graphs. To claim statistical significance, non-parametric tests: Friedman test at (p p Results The District Health System Performance (DHSP) was determined using data collected from eight districts. At baseline, the mean DHSP score was 50.97, at midterm, it was 60.3 and at end-line, it was 72.07. There was a strong degree and statistically significant relationship between baseline, midterm and end-line DHSP scores (r > 0.978**), using the Friedman test χ2(2) = 16.000, p = 0.001. Post hoc analysis using Wilcoxon signed-rank test was conducted with a Bonferroni correction and the results elicit higher DHSP values from baseline to midterm and from midterm to end-line with significance level set at p Conclusions Twinning partnerships help to accelerate the health system’s performance in achieving the district transformation criteria. Therefore, scaling up the implementation of the twinning partnership strategy is recommended.

Background: The twinning partnership is a formal and substantive collaboration between two districts to improve their performance in providing primary healthcare services. The ‘win-win’ twinning partnership pairs relatively high and low performing districts. The purpose of this formative evaluation is to use the empirically derived systems model as an analytical framework to systematically document the inputs, throughputs and outputs of the twinning partnership strategy.Methods: This evaluation employed a case study research design and was conducted from October 2018 to September 2019, in Amhara, Oromia, Southern, Nations, Nationalities and Peoples’ (SNNP) and Tigray Regions. Qualitative data was collected using interviewer-guided semi-structured interview tools. The data were transcribed verbatim, translated into English and analyzed through the theoretical framework called Bergen Model of Collaborative Functioning (BMCF). Quantitative data were extracted from Routine Health Management Information System. Results were presented using average, percentages and graphs.Result: The result of this case study revealed that scanning the mission of the twinning partnership and focusing on a shared vision coupled with mobilizing internal and external resources were the fundamental input element for successful twinning partnership at the district level. In addition, the context of pursuing Universal Health Coverage (UHC) through achieving transformed districts can be enhanced through deploying skilled and knowledgeable leadership, defining clear roles and responsibilities for all stakeholders, forming agreed detailed action plans and effective communication that leads to additive results and synergy. The twinning partnership implementing districts benefit from the formal relationship and accelerate their performances towards meeting criteria of transformed districts in Ethiopia. At the baseline measurement stage, only two out of eight districts achieved a medium performance status; at mid-term, two districts achieved high performance status and during the end-line results out of eight twinning targeted districts, three districts fulfilled the transformation criteria, three districts were categorized as medium performers and the remaining two districts fell into the low performing districts category.Conclusions: The implemented twinning partnership helped to accelerate the health system’s performance in achieving the district transformation criteria. Therefore, scaling up the implementation of the twinning partnership strategy is recommended.

Additional file 6. In-depth interview guide. The in-depth interview guide was developed after reviewing relevant literatures [17, 24]. The guide has three sections, an ice breaker, main question and probing questions.

High quality care-at a minimum-is a combination of the availability of tangible resources as well as a capable and motivated health workforce. Researchers have suggested that supportive supervision can increase both the performance and motivation of health workers and the quality of care. This study is aimed at assessing the required number of visits and time between visits to bring about improvements in health service delivery. The study employed a primary health care performance improvement conceptual framework which depicts building blocks for improved health service delivery using longitudinal program outcome monitoring data collected from July 2017 to December 2019. The analysis presented in this study is based on 3,080 visits made to 1,479 health centers in the USAID Transform: Primary Health Care project's intervention districts. To assess the effects of the visits on the repeated measure of the outcome variable (Service-Delivery), multilevel linear mixed model (LMM) with maximum likelihood (ML) estimation was employed. The results showed that there was a significant dose-response relationship that consistent and significant improvement on Service-Delivery indicator was observed from first (β = -26.07, t = -7.43, p < 0.001) to second (β = -21.17, t = -6.00, p < 0.01), third (β = -15.20, t = -4.49, p < 0.02), fourth (β = -12.35, t = -3.58, p < 0.04) and fifth (β = -11.18, t = -2.86, p < 0.03) visits. The incremental effect of the visits was not significant from fifth visit to the sixth suggesting five visits are the optimal number of visits to improve service delivery at the health center level. The time interval between visits also suggested visits made between 6 to 9 months (β = -2.86, t = -2.56, p < 0.01) showed more significant contributions. Therefore, we can conclude that five visits each separated by 6 to 9 months elicits a significant service delivery improvement at health centers.

Background: Lack of timely household (HH) level data to inform evidence-based decision-making for improved, timely and targeted health interventions is challenging. Integrated Family Health Program (IFHP) developed and implemented a system for collecting data on an on-going basis at household levels.Objective: To discuss the implementation of the continuous household surveys of the IFHP.Methods: Continuous surveys were used for generating timely data for monitoring outcome indicators. Integrated Family Health Program conducted continuous cross-sectional household surveys in its four major target regions over the past 6 years. This approach facilitated the aggregation of data annually, thus enabling progress to be tracked over time and timely decision-making. A total of 2560 households were interviewed each year and trend report synthesised for use.Result: Key performance indicators in the areas of family planning, and maternal and child health were considered for the study. Time series analysis data revealed overall progress in each outcome indicator. The report was shared among key programme staff to provide data for informed programmatic decision-making.Conclusion: The surveys as part of other programme activities proved to be a feasible and efficient way to generate timely data for programme outcome monitoring. Documenting the design and implementing data collection and feedback mechanism for prospective description and outcome monitoring potentially represents a new paradigm for course correction.Recommendation: Programme implementers should plan integrated continuous programme outcome monitoring mechanism as part of programme design rather than waiting for mid-term or end-term project evaluation.