Antenatal care quality and detection of risk among pregnant women: An observational study in Ethiopia, India, Kenya, and South Africa.

BACKGROUND: Antenatal care (ANC) is an essential platform to improve maternal and newborn health (MNH). While several articles have described the content of ANC in low- and middle-income countries (LMICs), few have investigated the quality of detection and management of pregnancy risk factors during ANC. It remains unclear whether women with pregnancy risk factors receive targeted management and additional ANC. METHODS AND FINDINGS: This observational study uses baseline data from the MNH eCohort study conducted in 8 sites in Ethiopia, India, Kenya, and South Africa from April 2023 to January 2024. A total of 4,068 pregnant women seeking ANC for the first time in their pregnancy were surveyed. We built country-specific ANC completeness indices that measured provision of 16 to 22 recommended clinical actions in 5 domains: physical examinations, diagnostic tests, history taking and screening, counselling, and treatment and prevention. We investigated whether women with pregnancy risks tended to receive higher quality care and we assessed the quality of detection and management of 7 concurrent illnesses and pregnancy risk factors (anemia, undernutrition, obesity, chronic illnesses, depression, prior obstetric complications, and danger signs). ANC completeness ranged from 43% in Ethiopia, 66% in Kenya, 73% in India, and 76% in South Africa, with large gaps in history taking, screening, and counselling. Most women in Ethiopia, Kenya, and South Africa initiated ANC in second or third trimesters. We used country-specific multivariable mixed-effects linear regression models to investigate factors associated with ANC completeness. Models included individual demographics, health status, presence of risk factors, health facility characteristics, and fixed effects for the study site. We found that some facility characteristics (staffing, patient volume, structural readiness) were associated with variation in ANC completeness. In contrast, pregnancy risk factors were only associated with a 1.7 percentage points increase in ANC completeness (95% confidence interval 0.3, 3.0, p-value 0.014) in Kenya only. Poor self-reported health was associated with higher ANC completeness in India and South Africa and with lower ANC completeness in Ethiopia. Some concurrent illnesses and risk factors were overlooked during the ANC visit. Between 0% and 6% of undernourished women were prescribed food supplementation and only 1% to 3% of women with depression were referred to a mental health provider or prescribed antidepressants. Only 36% to 73% of women who had previously experienced an obstetric complication (a miscarriage, preterm birth, stillbirth, or newborn death) discussed their obstetric history with the provider during the first ANC visit. Although we aimed to validate self-reported information on health status and content of care with data from health cards, our findings may be affected by recall or other information biases. CONCLUSIONS: In this study, we observed gaps in adherence to ANC standards, particularly for women in need of specialized management. Strategies to maximize the potential health benefits of ANC should target women at risk of poor pregnancy outcomes and improve early initiation of ANC in the first trimester.

Implementation science to design, test and scale up effective Kangaroo Mother Care in Oromia region, Ethiopia.

AIM: To develop a locally tested and optimised Kangaroo Mother Care (KMC) scale-up model to achieve high population-based effective coverage of KMC in Oromia region. METHOD: We conducted an implementation research study to design and test KMC scale-up models from March 2017 to March 2019 in five hospitals and 39 health centres covering a population of 1.1 million in Oromia region, Ethiopia. We evaluated the models by measuring effective KMC coverage (at least 8 hours of skin-to-skin care plus exclusive breastfeeding) for newborns weighing <2000 g in the 24 hours before discharge from the KMC facility and on the 7th-day post-discharge. RESULTS: After three cycles of iterative model implementation, we developed a KMC scale-up model that resulted in increased population-based effective KMC coverage. We enhanced the existing health system by strengthening the health system, reinforcing the linkages between the health system and communities and improving community engagement. Our final model achieved effective KMC coverage of 54%: 95% CI [49, 60] in the 24 hours before discharge from the facility and 38%: 95% CI [32, 43] on the 7th-day post-discharge. CONCLUSION: Through iterative testing and adaptations, a model to scale up KMC that achieves 54% population-based effective coverage of KMC can be developed.

Tracking health system performance in times of crisis using routine health data: lessons learned from a multicountry consortium.

COVID-19 has prompted the use of readily available administrative data to track health system performance in times of crisis and to monitor disruptions in essential healthcare services. In this commentary we describe our experience working with these data and lessons learned across countries. Since April 2020, the Quality Evidence for Health System Transformation (QuEST) network has used administrative data and routine health information systems (RHIS) to assess health system performance during COVID-19 in Chile, Ethiopia, Ghana, Haiti, Lao People's Democratic Republic, Mexico, Nepal, South Africa, Republic of Korea and Thailand. We compiled a large set of indicators related to common health conditions for the purpose of multicountry comparisons. The study compiled 73 indicators. A total of 43% of the indicators compiled pertained to reproductive, maternal, newborn and child health (RMNCH). Only 12% of the indicators were related to hypertension, diabetes or cancer care. We also found few indicators related to mental health services and outcomes within these data systems. Moreover, 72% of the indicators compiled were related to volume of services delivered, 18% to health outcomes and only 10% to the quality of processes of care. While several datasets were complete or near-complete censuses of all health facilities in the country, others excluded some facility types or population groups. In some countries, RHIS did not capture services delivered through non-visit or nonconventional care during COVID-19, such as telemedicine. We propose the following recommendations to improve the analysis of administrative and RHIS data to track health system performance in times of crisis: ensure the scope of health conditions covered is aligned with the burden of disease, increase the number of indicators related to quality of care and health outcomes; incorporate data on nonconventional care such as telehealth; continue improving data quality and expand reporting from private sector facilities; move towards collecting patient-level data through electronic health records to facilitate quality-of-care assessment and equity analyses; implement more resilient and standardized health information technologies; reduce delays and loosen restrictions for researchers to access the data; complement routine data with patient-reported data; and employ mixed methods to better understand the underlying causes of service disruptions.

The politics and practice of initiating a public health postgraduate programme in three universities in sub-Saharan Africa: the challenges of alignment and coherence.

BACKGROUND: In-country postgraduate training programme in low and middle income countries are widely considered to strengthen institutional and national capacity. There exists dearth of research about how new training initiatives in public health training institutions come about. This paper examines a south-south collaborative initiative wherein three universities based in Ethiopia, Rwanda and Mozambique set out to develop a local based postgraduate programme on health workforce development/management through partnership with a university in South Africa. METHODS: We used a qualitative case study design. We conducted semi-structured interviews with 36 key informants, who were purposively recruited based on their association or proximity to the programme, and their involvement in the development, review, approval and implementation of the programme. We gathered supplementary data through document reviews and observation. Thematic analysis was used and themes were generated inductively from the data and deductively from literature on capacity development. RESULTS: University A successfully initiated a postgraduate training programme in health workforce development/management. University B and C faced multiple challenges to embed the programme. It was evident that multiple actors underpin programme introduction across institutions, characterized by contestations over issues of programme feasibility, relevance, or need. A daunting challenge in this regard is establishing coherence between health ministries' expectation to roll out training programmes that meet national health priorities and ensure sustainability, and universities and academics' expectations for investment or financial incentive. Programme champions, located in the universities, can be key actors in building such coherence, if they are committed and received sustained support. The south-south initiative also suffers from lack of long term and adequate support. CONCLUSIONS: Against the background of very limited human capacity and competition for this capacity, initiating the postgraduate programme on health workforce development/management proved to be a political as much as a technical undertaking influenced by multiple actors vying for recognition or benefits, and influence over issues of programme feasibility, relevance or need. Critical in the success of the initiative was alignment and coherence among actors, health ministries and universities in particular, and how well programme champions are able to garner support for and ownership of programme locally. The paper argues that coherence and alignment are crucial to embed programmes, yet hard to achieve when capacity and resources are limited and contested.

Identification of relevant performance indicators for district healthcare systems in Ethiopia: a systematic review and expert opinion.

PURPOSE: To identify potential performance indicators relevant for district healthcare systems of Ethiopia. DATA SOURCES: Public Library of Medicine and Agency for Healthcare Research and Quality of the United States of America, Organization for Economic Cooperation and Development Library and Google Scholar were searched. STUDY SELECTION: Expert opinions, policy documents, literature reviews, process evaluations and observational studies published between 1990 and 2015 were considered for inclusion. Participants were national- and local-healthcare systems. The phenomenon of interest was the performance of healthcare systems. The Joanna Briggs Institute tools were adapted and used for critical appraisal of records. DATA EXTRACTION: Indicators of performance were extracted from included records and summarized in a narrative form. Then, experts rated the relevance of the indicators. Relevance of an indicator is its agreement with priority health objectives at the national and district level in Ethiopia. RESULTS OF DATA SYNTHESIS: A total of 11 206 titles were identified. Finally, 22 full text records were qualitatively synthesized. Experts rated 39 out of 152 (25.7%) performance indicators identified from the literature to be relevant for district healthcare systems in Ethiopia. For example, access to primary healthcare, tuberculosis (TB) treatment rate and infant mortality rate were found to be relevant. CONCLUSION: Decision-makers in Ethiopia and potentially in other low-income countries can use multiple relevant indicators to measure the performance of district healthcare systems. Further research is needed to test the validity of the indicators.

Administrators, health service providers, and consumers perspectives of functions of district health-care systems in Oromia region, Ethiopia: A qualitative study.

The practice of functions of district health-care systems in Ethiopia is not clear. The aim of this study was to investigate the perspectives of administrators, health service providers, and health-care consumers regarding functions of district health-care systems as currently practiced. Grounded theory approach was applied using interviews and desk review of documents. This study was set up in Oromia National Regional State, Ethiopia. Inductive analysis of interviews was done. Interviews and document reviews were mirrored. Eleven functions of district health-care systems emerged in this study organized by level with relationships and commonality of few activities. The 11 functions of district health-care systems were creating capacity of health centers and health professionals for the provision of health care; creating access for the provision of health care; ensuring equitable access to health care; regulation of private health-care providers; disaster preparedness; monitoring risk factors and diseases in the district; provision of health promotive, preventive, and curative health care for communicable diseases and maternal health conditions; monitoring intermediate outcomes of care; developing capacity of health post and villagers toward demand creation for health care; provision of maternal and child health services; and helping health posts in reaching mothers and sick individuals.

Survival analysis to measure turnover of the medical education workforce in Ethiopia.

BACKGROUND: Until recently, there were only a few medical schools in Ethiopia. However, currently, in response to the apparent shortage in physician workforce, the country has made huge progress with respect to the expansion of medical schools, by adopting the so-called flooding strategy. Nevertheless, the effectiveness of the intended strategy also relies on physician accessibility and turnover. Therefore, the aim of this study was to examine the distribution of physicians in the medical schools of Ethiopia and to quantify the magnitude and identify factors associated with physician turnover. METHODS: This organizational faculty physician workforce survey was conducted in seven government-owned medical schools in Ethiopia. Longitudinal medical workforce data set of about 6 years (between September 2009 and June 2015) were retrospectively collected from each of the medical schools. The observation time begins with the date of employment (time zero) and ends at the date on which the physician leaves the appointment/or the data collection date. Kaplan-Meier survival method was used to describe the duration of stay of physicians in the academic health care settings. A Cox proportional hazards (CPH) model was fitted to identify the risk factors for physician turnover. RESULTS: In this study, a total of 1258 faculty physicians were observed in seven medical schools which resulted in 6670.5 physician-years. Of the total, there were 198 (15.7%) turnover events and the remaining 1060 (84.3%) were censored. The average turnover rate is about 29.7 per 1000 physician-years of observations. Multivariate modeling revealed no statistical significant difference in the rate of turnover between males and females (adjusted hazard ratio (AHR), 1.12; 95%CI, 0.71, 1.80). However, a lower rate of physician turnover was observed among those who were born before 1975 (AHR, 0.37; 95%CI, 0.20, 0.69) compared with those who were born after 1985. Physicians with the academic rank of associate professor and above had a lower (AHR, 0.25; 95%CI, 0.11, 0.60) rate of turnover in comparison to lecturers. In addition, physicians working in Jimma University had 1.66 times higher rate of turnover compared with those working in Addis Ababa University. However, the model showed a significantly lower rate of turnover in Mekelle (AHR, 0.16; 95%CI, 0.06, 0.41) and University of Gondar (AHR, 0.46; 95%CI, 0.25, 0.84) compared with that of Addis Ababa. Physician turnover in the remaining medical schools (Bahir Dar, Haromaya, and Hawassa) did not show a statistically significant difference with Addis Ababa University (P > 0.05). CONCLUSIONS: This study revealed a strong association between physician turnover with age, academic rank, and workplace. Therefore, the findings of the study have important implications in that attention needs to be given for the needs of faculty physicians and for improving the work environment in order to achieve a high level of retention.

Health system's response for physician workforce shortages and the upcoming crisis in Ethiopia: a grounded theory research.

BACKGROUND: A rapid transition from severe physician workforce shortage to massive production to ensure the physician workforce demand puts the Ethiopian health care system in a variety of challenges. Therefore, this study discovered how the health system response for physician workforce shortage using the so-called flooding strategy was viewed by different stakeholders. METHODS: The study adopted the grounded theory research approach to explore the causes, contexts, and consequences (at the present, in the short and long term) of massive medical student admission to the medical schools on patient care, medical education workforce, and medical students. Forty-three purposively selected individuals were involved in a semi-structured interview from different settings: academics, government health care system, and non-governmental organizations (NGOs). Data coding, classification, and categorization were assisted using ATLAs.ti qualitative data analysis scientific software. RESULTS: In relation to the health system response, eight main categories were emerged: (1) reasons for rapid medical education expansion; (2) preparation for medical education expansion; (3) the consequences of rapid medical education expansion; (4) massive production/flooding as human resources for health (HRH) development strategy; (5) cooperation on HRH development; (6) HRH strategies and planning; (7) capacity of system for HRH development; and (8) institutional continuity for HRH development. The demand for physician workforce and gaining political acceptance were cited as main reasons which motivated the government to scale up the medical education rapidly. However, the rapid expansion was beyond the capacity of medical schools' human resources, patient flow, and size of teaching hospitals. As a result, there were potential adverse consequences in clinical service delivery, and teaching learning process at the present: "the number should consider the available resources such as number of classrooms, patient flows, medical teachers, library…". In the future, it was anticipated to end in surplus in physician workforce, unemployment, inefficiency, and pressure on the system: "…flooding may seem a good strategy superficially but it is a dangerous strategy. It may put the country into crisis, even if good physicians are being produced; they may not get a place where to go…". CONCLUSION: Massive physician workforce production which is not closely aligned with the training capacity of the medical schools and the absorption of graduates in to the health system will end up in unanticipated adverse consequences.

Medical students' career choices, preference for placement, and attitudes towards the role of medical instruction in Ethiopia.

BACKGROUND: In Ethiopia, the health care delivery and the system of medical education have been expanding rapidly. However, in spite of the expansion, no studies have been carried out among medical students to identify their career choices and attitudes towards the medical instruction. Therefore, this study aimed to fill the gap in evidence in these specific areas. METHODS: Pretested questionnaire was self-administered among fifth and sixth year medical students in six government owned medical schools in Ethiopia. A total of 959 students were involved in the study with a response rate of 82.2%. Career choices, intention where to work just after graduation, and attitudes towards medical instruction were descriptively presented. Binary logistic regression model was fitted to identify factors associated with the intention of medical students to work in rural and remote areas. RESULTS: Majority, (70.1%) of the medical students wanted to practice in clinical care settings. However, only a small proportion of them showed interest to work in rural and remote areas (21% in zonal and 8.7% in district/small towns). For most, internal medicine was the first specialty of choice followed by surgery. However, students showed little interest in obstetrics and gynecology, as well as in pediatrics and child health as their first specialty of choice. Medical students' attitudes towards their school in preparing them to work in rural and remote areas, to pursue their career within the country and to specialize in medical disciplines in which there are shortages in the country were low. The binary logistic regression model revealed that a significantly increased odds of preference to work in rural and remote areas was observed among males, those who were born in rural areas, the medical students of Addis Ababa University and those who had the desire to serve within the country. CONCLUSION: This study showed that Ethiopian medical schools are training medical workforce with preferences not to work in rural and remote places, and not to specialize in disciplines where there are shortages in the country. Thus, attention should be given to influence medical students' attitude to work in rural and remote locations and to specialize in diverse clinical specialties.

Explaining changes in educational disparities in competent maternal health care services in urban and rural areas in Ethiopia.

Introduction: Aggregate statistics of maternal health care services have improved in Ethiopia. Nevertheless, the country has one of the lowest Universal Health Coverage (UHC) service coverage indices, with slight improvement between 2000 and 2019. There are disparity studies that focus on a single dimension of inequality. However, studies that combine multiple dimensions of inequality simultaneously may have important policy implications for closing inequalities. In this study, we investigated education inequalities in the receipt of maternal health care services in rural and urban areas separately, and we examined whether these inequalities decreased, increased, or remained unchanged. Methods: The data for the study came from the 2011 and 2016 Ethiopia Demographic and Health Surveys. Using women's education as a dimension of inequality, we separately analyzed inequalities in maternal health care services in urban and rural settings. Inequalities were measured through the Erreygers concentration index, second differences, and Relative Index of Inequality (RII). Whether inequalities changed over time was analyzed by relative and absolute measures. An Oaxaca-type decomposition approach was applied to explain changes in absolute disparities over time. Results: There were glaring educational disparities in maternal health care services in urban and rural areas, where the services were more concentrated among women with better schooling. The disparities were more severe in urban than in rural areas. In urban areas, skilled birth service was the most unequal in both periods. Disparities in rural places were roughly similar for all services except that in 2011, postnatal care was the least unequal, and in 2016, skilled birth was the most unequal services. Trend analyses revealed that disparities significantly dropped in urban by absolute and relative measures. Conversely, in rural regions, the disparities grew by the concentration index measure for most services. The RII and second differences presented conflicting results regarding whether the gaps were increasing, shrinking, or remaining the same. Conclusion: Substantial disparities in maternal health care services remained and even increased, as in rural areas. Different and targeted strategies are needed for urban and rural places to close the observed educational inequalities in these areas.

Recruitment Strategies To Improve Gender Equity in Clinical and Translational Research Training in Ethiopia.

Women from sub-Saharan Africa, including Ethiopia, are underrepresented in biomedical research due in part to limited access to high-quality research training and mentorship. Tuberculosis (TB) is a major public health problem in Ethiopia, with a limited number of female Ethiopian scientists engaged in TB-related research. To improve access to TB-related research training among junior women scientists, our NIH Fogarty International Center-funded D43 program released an all-women request for applications (RFA), which substantially increased the number of women applying for research training and the number of women trained in our program. The impact of the all-women cohort was also bolstered by prominent female representation in mentor teams, program leadership, and program alumnae. Sustained increases in applications from women were seen in subsequent RFAs that included both women and men. Targeted leadership, mentorship, and recruitment efforts were effective in promoting improved gender equity in biomedical research training.

The maternal and newborn health eCohort to track longitudinal care quality: study protocol and survey development.

The MNH eCohort was developed to fill gaps in maternal and newborn health (MNH) care quality measurement. In this paper, we describe the survey development process, recruitment strategy, data collection procedures, survey content and plans for analysis of the data generated by the study. We also compare the survey content to that of existing multi-country tools on MNH care quality. The eCohort is a longitudinal mixed-mode (in-person and phone) survey that will recruit women in health facilities at their first antenatal care (ANC) visit. Women will be followed via phone survey until 10-12 weeks postpartum. User-reported information will be complemented with data from physical health assessments at baseline and endline, extraction from MNH cards, and a brief facility survey. The final MNH eCohort instrument is centered around six key domains of high-quality health systems including competent care (content of ANC, delivery, and postnatal care for the mother and newborn), competent systems (prevention and detection, timely care, continuity, integration), user experience, health outcomes, confidence in the health system, and economic outcomes. The eCohort combines the maternal and newborn experience and, due to its longitudinal nature, will allow for quality assessment according to specific risks that evolve throughout the pregnancy and postpartum period. Detailed information on medical and obstetric history and current health status of respondents and newborns will allow us to determine whether women and newborns at risk are receiving needed care. The MNH eCohort will answer novel questions to guide health system improvements and to fill data gaps in implementing countries.

Added knowledge: The MNH eCohort will answer novel questions and provide information on undermeasured dimensions of MNH care quality included continuity of care, system competence, and user experience.Global health impact for policy and action: The data generated will inform policy makers to develop strategies to improve adherence to standards of care and quality for mothers and newborns.

Decomposition analysis of women's empowerment-based inequalities in the use of maternal health care services in Ethiopia: Evidence from Demographic and Health Surveys.

BACKGROUND: The use of maternal health care services tends to rise with women's empowerment. However, disparities in the use of maternal health care services in Ethiopia that are founded on women's empowerment are not sufficiently addressed. In light of women's empowerment equity stratifier, this study seeks to assess inequalities in the uptake of maternal health care services (early antenatal care, four or more antenatal care and postnatal care services). METHODS: Drawing on data from the four rounds of Ethiopia Demographic and Health Surveys (EDHSs) conducted between 2000 and 2016, we conducted analysis of inequalities in utilization of maternal health care services using women's empowerment as equity stratifier. We utilized concentration index and concentration curve for assessing the inequalities. We used clorenz and conindex Stata modules to compute the index and curve. Decomposition of the Erreygers normalized concentration index was done to explain the inequalities in terms of other variables' percent contributions. Complex aspect of the EDHSs data was considered during analysis to produce findings consistent with the data generating process. All analyses were done using Stata v16. RESULTS: Utilization of maternal health care services was inequitably distributed between empowered and poorly empowered women, with women in the highly empowered category taking more of the services. For instance, the Erreygers index for quality ANC are 0.240 (95% CI 0.207, 0.273); 0.20 (95% CI 0.169, 0.231) and 0.122 (95% CI 0.087, 0.157), respectively, for the attitude towards violence, social independence and decision-making domains of women's empowerment. Inequalities in the distribution of other variables like wealth, education, place of residence and women's empowerment itself underpin the inequalities in the utilization of the services across the women's empowerment groups. CONCLUSIONS: Equity in maternal health care services can be improved through redistributive policies that attempt to fairly distribute the socioeconomic determinants of health such as wealth and education between highly and poorly empowered women.

Effect of depressive symptoms and social support on weight and CD4 count increase at HIV clinic in Ethiopia.

Studies have reported an inverse relationship between depressive symptoms and weight and CD4 gain and a positive association between social support and weight and CD4 gain. The main objective of this study was to explore the effect of depressive symptoms and perceived social support on weight change and CD4 cell progression in an HIV clinic in Ethiopia. The study design was descriptive cross-sectional, with a sample of 1815 HIV-infected adults age 18 years or above. Depressive symptoms and perceived social support were the independent variables, while weight and CD4 cell count were the dependent variables. Regression modeling was the main statistical approach used for the analysis. A significant proportion of females reported depressive symptoms: being bothered by things that do not bother other people, they had been depressed, and their sleep had been restless for 5-7 days a week. A lesser proportion of males reported these problems. A significant proportion of study participants did not have someone to borrow a small amount of money (6 USD) from for immediate help and did not have somebody to support them if they were confined to bed for several weeks. Worse depressive symptoms had a negative effect on weight gain and CD4 cell progression, while better perceived social support had a positive effect on both weight gain and CD4 cell progression. Interventions that address both of these background factors need to be designed and implemented as part of the HAART program to improve weight gain and CD4 cell progression.

Factors associated with small-for-gestational-age births among preterm babies born <2000 g: a multifacility cross-sectional study in Ethiopia.

OBJECTIVES: This study aimed to determine the prevalence of small-for-gestational-age (SGA) and appropriate-for-gestational-age (AGA); compare variations in multiple risk factors, and identify factors associated with SGA births among preterm babies born <2000 g. DESIGN: Cross-sectional study. SETTING: The study was conducted at five public hospitals in Oromia Regional State and Addis Ababa City Administration, Ethiopia. PARTICIPANTS: 531 singleton preterm babies born <2000 g from March 2017 to February 2019. OUTCOME MEASURES: Birth size-for-gestational-age was an outcome variable. Birth size-for-gestational-age centiles were produced using Intergrowth-21st data. Newborn birth size-for-gestational-age below the 10th percentile were classified as SGA; those>10th to 90th percentiles were classified as AGA; those >90th percentiles, as large-for-gestational-age, according to sex. SGA and AGA prevalence were determined. Babies were compared for variations in multiple risk factors. RESULTS: Among 531 babies included, the sex distribution was: 55.44% males and 44.56% females. The prevalences of SGA and AGA were 46.14% and 53.86%, respectively. The percentage of SGA was slightly greater among males (47.62%) than females (44.30%), but not statistically significant The prevalence of SGA was significantly varied between pre-eclamptic mothers (32.42%, 95% CI 22.36% to 43.22%) and non-pre-eclamptic mothers (57.94%, 95% CI 53.21% to 62.54%). Mothers who had a history of stillbirth (adjusted OR (AOR) 2.96 95% CI 1.04 to 8.54), pre-eclamptic mothers (AOR 3.36, 95% CI 1.95 to 5.79) and being born extremely low birth weight (AOR 10.48, 95% CI 2.24 to 49.02) were risk factors significantly associated with SGA in this population. CONCLUSION: Prevalence of SGA was very high in these population in the study area. Maternal pre-eclampsia substantially increases the risk of SGA. Hence, given the negative consequences of SGA, maternal and newborn health frameworks must look for and use evidence on gestational age and birth weight to assess the newborn's risks and direct care.

Survival status and predictors of mortality among low-birthweight neonates admitted to KMC units of five public hospitals in Ethiopia: Frailty survival regression model.

BACKGROUND: Low birth weight (LBW) and preterm birth are leading causes of under-five and neonatal mortality globally. Data about the timing of death and outcomes for LBW and preterm births are limited in Ethiopia and could be used to strengthen neonatal healthcare. This study describes the incidence of neonatal mortality rates (NMR) stratified by newborn size at birth for gestational age and identifies its predictors at five public hospitals in Ethiopia. METHODS: A prospective follow-up study enrolled 808 LBW neonates from March 2017 to February 2019. Sex-specific birthweight for gestational age percentile was constructed using Intergrowth 21st charts. Mortality patterns by birthweight for-gestational-age-specific survival curves were compared using the log-rank test and Kaplan-Meier survival curves. A random-effects frailty survival model was employed to identify predictors of time to death. RESULTS: Among the 808 newborns, the birthweight distribution was 3.2% <1000 g, 28.3% <1500 g, and 68.1% <2000 g, respectively. Birthweight for gestational age categories were 40.0% both preterm and small for gestational age (SGA), 20.4% term SGA, 35.4% appropriate weight for gestational age, and 4.2% large for gestational age (LGA). The sample included 242 deaths, of which 47.5% were both preterm and SGA. The incidence rate of mortality was 16.17/1000 (95% CI 14.26-18.34) neonatal-days of observation. Neonatal characteristics independently related to increased risk of time-to-death were male sex (adjusted hazards ratio [AHR] 3.21 95% CI 1.33-7.76), born preterm (AHR 8.56 95% CI 1.59-46.14), having been diagnosed with a complication (AHR 4.68 95% CI 1.49-14.76); some maternal characteristics and newborn care practices (like lack of effective KMC, AHR 3.54 95% CI 1.14-11.02) were also significantly associated with time-to-death. CONCLUSIONS: High mortality rates were measured for low birthweight neonates-especially those both preterm and SGA births-even in the context of tertiary care. These findings highlight the need for improved quality of neonatal care, especially for the smallest newborns.

Health system cost of breast cancer treatment in Addis Ababa, Ethiopia.

BACKGROUND: Breast cancer is the leading cancer among women with an annual crude incidence of 27.4 per 100,000 in Ethiopia. The aims of this study were to (a) estimate the unit cost of breast cancer treatment for the standard Ethiopian patient, (b) identify the cost drivers, (c) project the total cost of breast cancer treatment for the next five years, and (d) estimate the economic burden of the disease in the main specialized tertiary hospital-Tikur Anbessa Specialized Hospital (TASH) Addis Ababa. METHODS: Primary data were collected from health and non-health professionals. Secondary data were collected from patient`s charts and official reports from various national and international organisations including data from TASH. To establish work-time estimates, we asked professionals on their time usage. RESULT: A total of US$ 33,261 was incurred to treat 52 Addis Ababa resident female breast cancer patients in TASH between July 2017 and June 2019. The unit cost of treatment for a hypothetical breast cancer patient to complete her treatment was US$ 536 for stage I and US$ 705 for stage II and III using the existing infrastructure. This cost increased to US$ 955 for stage I and US$ 1157 for stage II and III when infrastructure amortization was considered. The projected total costs of breast cancer treatment in TASH is between US$ 540,000 and US$ 1.48million. However, this will increase to US$ 870,000 and US$ 2.29 million when the existing fixed assets are changed. CONCLUSION: The economic burden of breast cancer treatment is high compared to the economic status of the country. Thus, it is recommended that TASH should revise its charges and breast cancer should be included in the Social and Community based health insurance scheme. JEL classification: H51, H75, I18, P46.

Nutritional status and TB treatment outcomes in Addis Ababa, Ethiopia: An ambi-directional cohort study.

BACKGROUND: Remaining underweight during Tuberculosis (TB) treatment is associated with a higher risk of unsuccessful TB treatment outcomes and relapse. Previous studies conducted in Ethiopia found that bodyweight not adjusted for height at the start of treatment is associated with poor treatment outcomes. However, the association of body mass index (BMI) and weight change during treatment with treatment outcomes has not been studied. We aimed to investigate the association of BMI at the time of diagnosis and after two months of treatment and TB treatment outcomes. METHODS: Using an ambi-directional cohort study design (retrospective and prospective), a total of 456 participants were enrolled among 30 randomly selected public health centers residing within six sub-cities of Addis Ababa, Ethiopia. Data were collected using medical chart abstraction and face to face interviews. We compared TB treatment outcomes in persons with a body mass index (BMI) <18.5kg/m2 (underweight) versus persons with BMI ≥18.5kg/m2 (normal or overweight) at treatment initiation and after two months of treatment. Treatment was classified as successful in persons who were free of symptoms and had a negative sputum smear for acid-fast bacilli at the end of the 6-month treatment course. We analysed outcomes using univariable and multivariable logistic regression with 95% CI and p value< 0.05. RESULTS: Of enrolled study participants, 184 (40.4%) were underweight and 272 (59.6%) were normal or overweight. Body mass index (BMI ≥18.5kg/m2) at the start and second month of treatment were independent predictors for successful treatment outcome (AOR = 2.15; 95% CI: 1.05, 4.39) and (AOR = 3.55; 95% CI: 1.29, 9.73), respectively. The probability of treatment success among patients with BMI≥18.5kg/m2 at the start and second month of treatment was 92.9% and 97.1%, respectively versus 86.5% and 91.7% in patients with BMI<18.5kg/m2. Bodyweight not adjusted for height and change in the bodyweight after the second and sixth months of treatment were not significantly associated with treatment success. CONCLUSION: In persons treated for TB disease, being underweight at baseline and after two months of treatment was a predictor for unsuccessful treatment outcomes. Nutritional assessment, counselling, and management are important components of TB treatment programs with the potential to improve treatment outcomes.

Face and content validity of a prospective multidimensional performance instrument for service delivery in district health systems in low-income countries: a Delphi study.

BACKGROUND: Valid performance indicators help to track and improve health services. The aim of this study was to test the face and content validity of a set of performance indicators for service delivery in district health systems of low-income countries. METHODS: A Delphi method with three stages was used. A panel of experts voted (yes vs no) on the face value of performance indicators. Agreement on the inclusion of indicators was a score of >75% and ≥50% during stages one and two, respectively. During stage three, indicators with a mean score of ≥3.8 on a five-point scale were included. The panel also rated the content validity of the overall set of indicators. RESULTS: The panel agreed on the face value of 59 out of 238 performance indicators. Agreement on the content validity of the set of indicators reached 100%. Most of the retained indicators were related to the capacity of health facilities, the quality of maternal and child health services and HIV care and treatment. CONCLUSIONS: Policymakers in low-income countries could use a set of performance indicators with modest face and high content validity, and mainly aspects of capacity and quality to improve health service delivery in districts.

Half of Prescribed Antibiotics Are Not Needed: A Pharmacist-Led Antimicrobial Stewardship Intervention and Clinical Outcomes in a Referral Hospital in Ethiopia.

Intense antibiotic consumption in Low- and Middle-Income Countries (LMICs) is fueled by critical gaps in laboratory infrastructure and entrenched syndromic management of infectious syndromes. Few data inform the achievability and impact of antimicrobial stewardship interventions, particularly in Sub-Saharan Africa. Our goal was to demonstrate the feasibility of a pharmacist-led laboratory-supported intervention at Tikur Anbessa Specialized Hospital in Addis Ababa, Ethiopia, and report on antimicrobial use and clinical outcomes associated with the intervention. Methods: This was a single-center prospective quasi-experimental study conducted in two phases: (i) an intervention phase (November 2017 to August 2018), during which we implemented weekly audit and immediate (verbal and written) feedback sessions on antibiotic prescriptions of patients admitted in 2 pediatric and 2 adult medicine wards, and (ii) a post-intervention phase (September 2018 to January 2019) during which we audited antibiotic prescriptions but provided no feedback to the treating teams. The intervention was conducted by an AMS team consisting of 4 clinical pharmacists (one trained in AMS) and one ID specialist. Our primary outcome was antimicrobial utilization (measured as days of therapy (DOT) per 1,000 patient-days and duration of antibiotic treatment courses); secondary outcomes were length of hospital stay and in-hospital all-cause mortality. A multivariable logistic regression model was used to explore factors associated with all-cause in-hospital mortality. Results: We collected data on 1,109 individual patients (707 during the intervention and 402 in the post-intervention periods). Ceftriaxone, vancomycin, cefepime, meropenem, and metronidazole were the most commonly prescribed antibiotics; 96% of the recommendations made by the AMS team were accepted. The AMS team recommended to discontinue antibiotic therapy in 54% of cases during the intervention period. Once the intervention ceased, total antimicrobial use increased by 51.6% and mean duration of treatment by 4.1 days/patient. Mean LOS stay as well as crude mortality also increased significantly in the post-intervention phase (LOS: 24.1 days vs. 19.8 days; in hospital death 14.7 vs. 6.9%). The difference in mortality remained significant after adjusting for potential confounders. Conclusions: A pharmacist-led AMS intervention focused on duration of antibiotic treatment was feasible and had good acceptability in our setting. Cessation of audit-feedback activities was associated with immediate and sustained increases in antibiotic consumption reflecting a rapid return to baseline (pre-intervention) prescribing practices, and worse clinical outcomes (increased length of stay and in-hospital mortality). Pharmacist-led audit-feedback activities can effectively reduce antimicrobial consumption and result in better-quality care, but require organizational leadership's commitment for sustainable benefits.