Determinants of healthcare providers’ confidence in their clinical skills to deliver quality obstetric and newborn care in Uganda and Zambia

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Study Justification:
– Poor quality obstetric and newborn care is a persistent issue in sub-Saharan Africa.
– Provider competence is a key factor contributing to poor quality care.
– This study aims to investigate the association between provider knowledge, scope of practice, and confidence in delivering obstetric and newborn health services in Uganda and Zambia.
Study Highlights:
– The study included 574 healthcare providers, with 69% being female, 24% nurses, and 6% doctors.
– The mean confidence score was 71%, while the mean knowledge score was 56%.
– Providers who completed more than 69% of obstetric tasks reported higher confidence compared to those who performed less than 50% of the tasks.
– Female providers and nurses were less confident than males and doctors.
– Provider knowledge was moderately associated with provider confidence.
Study Recommendations:
– Ensuring that providers are exposed to a variety of services is crucial for improving provider confidence and competence.
– Policies should be implemented to improve provider confidence and pre-service training, addressing differences by gender and cadres.
Key Role Players:
– Healthcare providers (doctors, nurses, midwives, nurse assistants, clinical officers)
– Policy makers
– Training institutions
– Health system administrators
Cost Items for Planning Recommendations:
– Training programs for healthcare providers
– Development and implementation of policies
– Monitoring and evaluation systems
– Capacity building for health system administrators
– Research and data collection
– Infrastructure and equipment upgrades
– Support for gender-sensitive interventions
Please note that the cost items provided are general and may vary depending on the specific context and implementation strategies.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study provides quantitative data from a secondary analysis of an implementation evaluation of an obstetric and newborn care program in Uganda and Zambia. The study investigates the association between provider knowledge, scope of practice, and confidence in delivering obstetric and newborn care. The study uses multiple linear regression models to analyze the data and adjusts for facility and provider characteristics. The sample size is relatively large with 574 providers included in the study. However, the abstract does not provide information on the representativeness of the sample or the generalizability of the findings. To improve the strength of the evidence, future studies could consider using a randomized controlled trial design and include a more diverse sample of healthcare providers from different settings and regions. Additionally, providing more information on the validity and reliability of the measurement tools used in the study would enhance the credibility of the findings.

Background: Poor quality obstetric and newborn care persists in sub-Saharan Africa and weak provider competence is an important contributor. To be competent, providers need to be both knowledgeable and confident in their ability to perform necessary clinical actions. Confidence or self-efficacy has not been extensively studied but may be related to individuals’ knowledge, ability to practice their skills, and other modifiable factors. In this study, we investigated how knowledge and scope of practice are associated with provider confidence in delivering obstetric and newborn health services in Uganda and Zambia. Methods: This study was a secondary analysis of data from an obstetric and newborn care program implementation evaluation. Provider knowledge, scope of practice (completion of a series of obstetric tasks in the past 3 months) and confidence in delivering obstetric and newborn care were measured post intervention in intervention and comparison districts in Uganda and Zambia. We used multiple linear regression models to investigate the extent to which exposure to a wider range of clinical tasks associated with confidence, adjusting for facility and provider characteristics. Results: Of the 574 providers included in the study, 69% were female, 24% were nurses, and 6% were doctors. The mean confidence score was 71%. Providers’ mean knowledge score was 56% and they reported performing 57% of basic obstetric tasks in the past 3 months. In the adjusted model, providers who completed more than 69% of the obstetric tasks reported a 13-percentage point (95% CI 0.08, 0.17) higher confidence than providers who performed less than 50% of the tasks. Female providers and nurses were considerably less confident than males and doctors. Provider knowledge was moderately associated with provider confidence. Conclusions: Our study showed that scope of practice (the range of clinical tasks routinely performed by providers) is an important determinant of confidence. Ensuring that providers are exposed to a variety of services is crucial to support improvement in provider confidence and competence. Policies to improve provider confidence and pre-service training should also address differences by gender and by cadres.

This study uses data from the implementation evaluation of the Saving Mothers and Giving Life (SMGL) intervention [24]. SMGL has significantly improved healthcare providers’ knowledge, confidence and job satisfaction [25]. This intervention was implemented in Uganda and Zambia from January – June 2012. For each country, four districts with a high maternal mortality ratio, a low facility delivery rate, and a high healthcare provider shortage were selected for implementation (Kabarole, Kamwenge, Kibaale, and Kyenjojo in Uganda and Mansa, Lundazi, Nyimba, and Kalomo in Zambia). These districts were primarily rural, with a largely agricultural workforce. The purpose of SMGL was to increase demand for and access to facility delivery and to improve the quality of care by including activities at both the health system and community levels. Healthcare providers received training on emergency obstetric care and newborn resuscitation. The core inputs and activities of the SMGL have been previously published [26]. The evaluation methods has been described elsewhere but in brief, it used a quasi-random post-test-only comparison group design [25]. The data for the evaluation were collected from May 2013 to July 2013. The evaluation team selected four comparison districts that were similar to the intervention districts in terms of geography, health system infrastructure, health system utilization, morbidity, and mortality. The comparison districts were Masindi and Kiryandongo in Uganda and Kapiri Mposhi and Kabwe in Zambia. Health facilities with the highest delivery volumes were selected in each district. These facilities included both rural and urban and at least one referral hospital which provides comprehensive emergency obstetric and newborn care. The maternal healthcare providers (i.e. those clinicians directly involved in the provision of obstetric and newborn care such as delivery, antenatal care, and postnatal care) were invited to complete three questionnaires – a clinical confidence and scope of practice questionnaire, a job satisfaction questionnaire and an obstetric knowledge test. Eligible healthcare providers included all clinicians (i.e., doctors, nurses, midwives, nurse assistants, and clinical officers) who worked in maternity wards or provided obstetric and newborn care. All questionnaires with the exception of the knowledge test were conducted face-to-face; the test was self-administered. The knowledge test was adapted from one previously developed and validated by Johns Hopkins Program for International Education in Gynecology and Obstetrics (JHPIEGO) [27] a maternal health program based at Johns Hopkins University. This test included 60 multiple-choice questions on general obstetric knowledge for the management of early pregnancy, labor and delivery, and postpartum care. The knowledge test was developped based on World Health Organizations’ international guideline Managing Complications in Pregnancy and Childbirth: A Guide for Midwives and Doctors [28]. This guideline has been used throughout Africa, Asia, and the Americas [25]. Prior to start of data collection, the three instruments were pilot tested in non-study districts in Uganda and Zambia, and revised accordingly [25]. Providers’ demographics and facility characteristics were also included in the job satisfaction questionnaire. We created a confidence score based on providers’ own assessment of their ability to perform 27 obstetric and newborn care tasks including for example, administering oxytocin, repairing perineal tears, and performing Kangaroo care (See Additional file 1 – Appendix E). The primary study [25] used a confidence score that included 26 tasks. For the present study, we decided to add two others “Newborn Apgar assessment” and “Kangaroo care” since these tasks are important component of immediate newborn care. We also removed “Administering anesthesia for C-sections” due to having only one anesthetist in our study sample (N = 1). Providers rated their confidence in being able to perform each task as very confident, not very confident, I cannot perform this skill, and does not apply. Providers who rated themselves as ‘very confident’ in performing a task were given one point per task and zero for ‘not very confident’ and ‘I cannot perform this skill’. Provider confidence was only assessed for tasks that each cadre believed they were expected to perform. ‘Does not apply’ responses were therefore treated as missing. For example, only general doctors, specialists, or medical licentiates [29] are expected to perform C-sections. The total score was converted into an average out of 100. Scope of practice was measured by asking providers whether they had performed these same 27 tasks in the past 3 months. The scope of practice score was based on 27 tasks for doctors, obstetrics/gynecology specialist, and medical licentiates and 26 tasks for other cadres (performing C-sections was excluded for the other cadres). The total score was converted into a percentage. The average provider knowledge score was calculated out of 100. We categorized the score into tertiles, after observing non-linearity in bivariate association between knowledge and confidence. The resulting categorical variable included providers with low (28–50%), average (51–58%), and high (60–93%) knowledge scores. As with knowledge score, we categorized this into tertiles after observing non-linearity in the association between scope of practice and confidence. The resulting categorical variable included providers with low (0–48%), average (50–65%), and high (69–100%) levels of clinical practice in the past 3 months. Other variables of interest included age, days of training in the past year, gender, qualification, the facility type, public or private ownership, whether the provider was part of the intervention or control group, and country. Age was treated as a continuous variable. A quadratic term for age was also included to account for non-linearity. Amount of training received in the past year was measured as the total number of days during which providers reported receiving on-site trainings. There were seven cadres of providers in the study districts with different levels of training: 1) nurse assistant, 2) enrolled nurse, 3) enrolled midwife, 4) registered nurse, 5) registered midwife, 6) clinical officer and 7) general doctor, doctor specialists, and the medical licentiate. Nurse assistants are trained for about 6 months and exist only in Uganda. Enrolled nurses and enrolled midwives are trained for 2–3 years. Enrolled nurses are similar to licensed practical nurses in the United States. Registered nurses and registered midwives receive medical training for 3 to 4.5 years. Clinical officers receive 3 years of training. Doctors are typically trained for 5 to 7 years. Medical licentiates are clinical officers who received additional training so that they can perform the tasks that a doctor would typically perform [29]. Given the similar years of training, medical licentiates were included in the group of doctors. Facility type was based on the availability of services at the facility and categorized into two groups. The first one included health centers that provide basic emergency obstetric and neonatal care (BEmONC). Seven signal functions are provided in BEmONC facilities: 1) Administration of parenteral antibiotics, 2) Administration of uterotonic drugs for active management of the third stage of labor and prevention of postpartum hemorrhage, 3) Use of parenteral anticonvulsants for the management of preeclampsia/eclampsia, 4) Manual removal of placenta, 5) Removal of retained products, 6) Assistance of vaginal delivery, and 7) Basic neonatal resuscitation [30]. The second category included hospitals that provide comprehensive obstetric and neonatal care (CEmONC) which perform the 7 basic functions of BEmONC and two additional services: cesarean delivery and blood transfusion [30]. Private ownership included both for-profit and not-for-profit facilities. We used a multiple linear regression model to investigate the factors associated with confidence, adjusting for covariates at the facility and provider levels. The unit of analysis was the provider and the regression model adjusted standard errors for clustering at the facility level. Three sensitivity analyses were performed. First, we added an interaction term between knowledge and scope of practice to observe whether the association between knowledge and confidence differed across levels of practice. Second, we regressed confidence on continuous measure of knowledge and scope of practice rather than tertiles. Third, we repeated the analysis in the intervention and the control facilities separately. All analyses were conducted in September 2019 using Stata SE version 16.0. P-values lower than 0.05 were considered statistically significant. Since this study was a secondary analysis of de-identified data, it was not deemed to be human subjects research (NHSR) under the Harvard T.H. Chan School of Public Health Institutional Review Board (IRB) policy [31]. Thus, NHSR is exempt to acquire a formal IRB determination. The original study was approved by IRBs at Columbia University in the United States, Makerere University and the National Council for Science Technology in Uganda, and Excellence in Research Ethics and Science Converge Research Ethics Committee and Ministry of Health in Zambia [25]. Consent was obtained from the health care provider interviewed and the job satisfaction and knowledge surveys were completed in private rooms to ensure privacy. Data used for the study were stored in a secured folder with limited access.

Based on the provided information, here are some potential innovations that could be recommended to improve access to maternal health:

1. Training Programs: Develop comprehensive training programs that focus on improving healthcare providers’ knowledge and skills in delivering obstetric and newborn care. These programs should address specific areas of weakness identified in the study, such as performing basic obstetric tasks.

2. Confidence-Building Interventions: Implement interventions aimed at improving healthcare providers’ confidence in their clinical skills. This could include mentorship programs, simulation-based training, and regular feedback and support from experienced healthcare professionals.

3. Gender-Specific Interventions: Develop interventions that specifically target female healthcare providers and nurses to address the observed gender disparities in confidence levels. These interventions could include mentorship programs, leadership training, and support networks to empower and build confidence among female providers.

4. Scope of Practice Expansion: Ensure that healthcare providers are exposed to a wider range of clinical tasks and services. This could involve revising job descriptions, providing opportunities for additional training and skill development, and promoting interdisciplinary collaboration to expand the scope of practice for different cadres of providers.

5. Pre-Service Training: Strengthen pre-service training programs for healthcare providers to ensure they are equipped with the necessary knowledge and skills to deliver quality obstetric and newborn care. This could involve updating curricula, incorporating hands-on training and simulation exercises, and promoting continuous professional development.

6. Facility Strengthening: Improve the infrastructure and resources available at healthcare facilities to support the delivery of quality maternal health services. This could include upgrading equipment, ensuring a reliable supply of essential drugs and supplies, and improving referral systems to ensure timely access to higher-level care when needed.

7. Community Engagement: Engage communities in promoting maternal health and increasing demand for facility-based delivery. This could involve community education programs, community health worker training, and initiatives to address cultural and social barriers to accessing maternal health services.

8. Policy and Advocacy: Advocate for policies and investments that prioritize maternal health and address the underlying determinants of poor quality care. This could involve working with governments, international organizations, and other stakeholders to allocate resources, strengthen health systems, and improve the overall quality of maternal health services.

It is important to note that these recommendations are based on the information provided and may need to be tailored to the specific context and needs of Uganda and Zambia.
AI Innovations Description
The recommendation that can be developed into an innovation to improve access to maternal health based on the study is to focus on improving healthcare providers’ confidence and competence in delivering obstetric and newborn care. This can be achieved through the following strategies:

1. Training and Education: Provide comprehensive and ongoing training programs for healthcare providers, including doctors, nurses, midwives, and clinical officers. These programs should focus on enhancing their knowledge and skills in obstetric and newborn care, as well as building their confidence in performing clinical tasks.

2. Scope of Practice: Ensure that healthcare providers have the opportunity to practice a wide range of clinical tasks related to obstetric and newborn care. This can be achieved by providing them with the necessary resources, equipment, and support to perform these tasks in their daily practice.

3. Gender and Cadre Sensitivity: Address the differences in confidence levels between male and female providers, as well as between different cadres of healthcare providers. Implement interventions that promote gender equality and provide equal opportunities for professional development and career advancement.

4. Pre-Service Training: Improve pre-service training programs for healthcare providers to ensure that they are adequately prepared and confident in delivering obstetric and newborn care. This can include incorporating practical hands-on training, simulation exercises, and mentorship programs.

5. Supportive Work Environment: Create a supportive work environment that values and recognizes the importance of healthcare providers’ confidence and competence in delivering quality obstetric and newborn care. This can be achieved through supportive supervision, mentorship, and continuous professional development opportunities.

By implementing these recommendations, healthcare providers’ confidence and competence in delivering obstetric and newborn care can be improved, ultimately leading to better access to maternal health services and improved health outcomes for mothers and newborns.
AI Innovations Methodology
The study you provided focuses on the determinants of healthcare providers’ confidence in their clinical skills to deliver quality obstetric and newborn care in Uganda and Zambia. It examines how knowledge and scope of practice are associated with provider confidence in delivering obstetric and newborn health services. The study uses data from the implementation evaluation of the Saving Mothers and Giving Life (SMGL) intervention, which aimed to improve access to facility delivery and the quality of care in selected districts.

To improve access to maternal health, the study suggests that ensuring healthcare providers are exposed to a wider range of clinical tasks is crucial. Providers who completed a higher percentage of obstetric tasks reported higher confidence levels. Additionally, the study highlights the importance of addressing differences in confidence and competence by gender and cadres.

In terms of methodology to simulate the impact of recommendations on improving access to maternal health, here is a suggested approach:

1. Define the recommendations: Identify specific innovations or interventions that can be implemented to improve access to maternal health. These could include measures such as increasing training opportunities for healthcare providers, implementing telemedicine solutions for remote consultations, improving transportation infrastructure for better access to healthcare facilities, or implementing community-based programs to raise awareness and promote maternal health.

2. Establish baseline data: Collect relevant data on the current state of maternal health access in the target population. This may include information on the number of healthcare facilities, their geographical distribution, the availability of skilled healthcare providers, transportation infrastructure, and other relevant factors.

3. Define indicators: Determine the key indicators that will be used to measure the impact of the recommendations on improving access to maternal health. These indicators could include metrics such as the number of facility deliveries, maternal mortality rates, distance traveled to access healthcare, and healthcare provider confidence levels.

4. Develop a simulation model: Use the collected data and indicators to develop a simulation model that can estimate the potential impact of the recommendations on the selected indicators. The model should take into account factors such as population demographics, geographical distribution, healthcare facility capacity, and the implementation timeline of the recommendations.

5. Run simulations: Run the simulation model using different scenarios to assess the potential impact of the recommendations. This could involve varying parameters such as the scale of implementation, the speed of implementation, and the availability of resources. The simulations should provide estimates of the expected changes in the selected indicators based on the different scenarios.

6. Analyze results: Analyze the results of the simulations to determine the potential effectiveness of the recommendations in improving access to maternal health. Assess the magnitude of the expected changes in the selected indicators and identify any potential challenges or limitations that may arise during implementation.

7. Refine recommendations: Based on the simulation results and analysis, refine the recommendations to optimize their potential impact on improving access to maternal health. Consider adjusting the scale, timing, or implementation strategies to address any identified challenges or limitations.

8. Implement and monitor: Implement the refined recommendations and closely monitor the actual impact on access to maternal health. Continuously collect data on the selected indicators to compare with the simulation results and assess the effectiveness of the implemented interventions.

By following this methodology, policymakers and stakeholders can gain insights into the potential impact of innovations and interventions on improving access to maternal health. This can inform decision-making and resource allocation to prioritize the most effective strategies.

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