Explore the practice and barriers of collaborative health policy and system research-priority setting exercise in Ethiopia.

INTRODUCTION: Collaboration is gaining prominence in the priority setting of Health Policy And System Research (HPSR). However, its practice and challenges are not well explored in Ethiopia. Understanding the practice and barriers of collaborative Health Policy and System Research will help design approaches and platforms for setting inclusive and participatory policy and system-level health research topics. This paper explores the practice and barriers of collaborative HPSR-priority setting exercise in Ethiopia. METHODS: This study investigates the practice and barriers of collaborative health policy and system research priority-setting exercises in Ethiopia. Utilizing a mixed-methods approach, we conducted Key Informant Interviews (KIIs) and an online self-administered survey with open-ended questionnaires to capture diverse perspectives from stakeholders involved in the research priority-setting process. Through conventional content analysis, we identified key contents related to current practices, challenges, and opportunities for enhancing collaboration in health policy and system research prioritization. RESULTS: Our findings reveal a complex landscape characterized by varying levels of stakeholder engagement, institutional capacity constraints, and competing priorities within the health research ecosystem. Despite notable efforts to foster collaboration, stakeholders identified persistent challenges such as limited resources, institutional fragmentation, and inadequate coordination mechanisms as barriers to effective priority-setting processes. The implications of our research extend beyond academic discourse, with direct relevance to health policy and system research practice in Ethiopia. By shedding light on the dynamics of collaborative priority-setting exercises, our findings offer valuable insights for policymakers, researchers, and practitioners seeking to enhance the effectiveness and inclusivity of health research prioritization processes. Addressing the identified barriers and leveraging existing strengths in the research ecosystem can contribute to more evidence-informed health policies and programs, ultimately improving health outcomes for Ethiopian populations. CONCLUSIONS: Most institutions do not apply health policy and system research-priority setting to conduct informed decision-making. The barriers explored were weak integration, lack of knowledge, system, and platforms for the priority setting of Health Policy and System Resreach. So, it is recommended to build skills of different actors in the Health Policy and System Research-priority setting exercise and design a system and platform to integrate different stakeholders for collaborative research topics priority setting.

Assessment of Availability of Tracer Drugs and Basic Diagnostics at Public Primary Health Care Facilities in Ethiopia During COVID-19 Pandemic.

Background: The emergence of COVID-19 pandemic has disrupted the supply chain and stock of medicines and drugs across the globe. Tracer drugs are essential medicines that address the population's priority health problems. Thus, this study aimed to assess availability of tracer drugs and basic diagnostics at public primary health care facilities in Ethiopia. Methods: Facility based cross-sectional study was employed in four regions and one city administration. The primary health care units (PHCUs) were purposively selected in consultation with respective regional health bureaus. Finally, 16 hospitals, 92 health centers and 344 health posts were included. This study adopted WHO's tool that was being used to rapidly assess the capacity of health facilities to maintain the provision of essential health services during the COVID-19. Descriptive analysis was done using frequency and percentage, and results were presented. Results: The overall mean availability of tracer drugs in PHCUs was 77.6%. Only 2.8% of PHCUs have all tracer drugs. The mean availability of basic diagnostic at national level was 86.6% in PHUs except health posts where it was less. Health facilities with all basic diagnostic services was 53.7%. Of the total 344 health posts assessed, 71% were providing diagnostic testing for malaria using either laboratory equipment or rapid diagnostic test (RDT) while 43% provide urine test for the pregnancy. Conclusion: This study shows availability of all tracer drugs in PHCUs in Ethiopia was extremely low. There was regional variation in availability of tracer drugs and basic diagnostics. It is very crucial to increase availability of tracer drugs and diagnostics. Drugs and diagnostic materials should be supplied according to the capacity and location of health facilities.

Trends and predictors of change of unmet need for family planning among reproductive age women in Ethiopia, based on Ethiopian demographic and health surveys from 2005-2016: Multivariable decomposition analysis.

BACKGROUND: By spacing births and preventing unintended pregnancies, family planning is a crucial technique strategy for controlling the fast expansion of the human population. It also improves maternal and child health. women who are thought to be sexually active but who do not use modern contraception methods, who either do not want to have any more children (Limiting) or who want to delay having children for at least two years are considered to have an unmet need for family planning (Spacing). OBJECTIVE: This study carried out to determine which socio-demographic factors are the key contributors to the discrepancies in the unmet need for family planning among women of reproductive age between surveys years 2005 and 2016. METHODS: The data for this study arrived from the Ethiopia Demographic Health Surveys in 2005, 2011, and 2016 to investigate trends and Predictors of change of unmet need for family planning among reproductive age women in Ethiopia. Pooled weighted sample of 26,230 (7761 in 2005, 9136 in 2011 and 9,333 in 2016 Ethiopian demographic health surveys) reproductive-age women were used for this study. For the overall trend (2005-2016) multivariable decomposition analysis for non-linear response outcome was calibrated to identify the factors that contributed to the change of unmet need for family planning. The Logit based multivariable decomposition analysis utilizes the output from the logistic regression model to assign the observed change in unmet need for family planning over time into two components. Stata version 16.0 was used to analyze the data. RESULT: The percentage of Ethiopian women of reproductive age who still lack access (unmet need) for family planning declined from 39.6% in 2005 to 23.6 percent in 2016. The decomposition analysis revealed that the change of unmet need for family planning was due to change in characteristics and coefficients. The difference in coefficients accounted for around nine out of 10 variations in unmet family planning need. Education level, birth order, and desired number of children were all factors that changed over the course of the last 11 years in relation to the unmet need for family planning. CONCLUSION: Between 2005 and 2016, there were remarkable changes in unmet need for family planning. Women with birth orders of five and up, women with secondary education, and women who wanted fewer children overall were the main causes of the change in unmet need for family planning.