Health providers’ perceptions of clinical trials: Lessons from Ghana, Kenya and Burkina Faso

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Study Justification:
– Clinical trials conducted in Africa require substantial investments and resources.
– Understanding the potential effects of trial inputs on routine health care providers is crucial for strengthening ethical practice.
– This study explores the influence of malaria vaccine trials on health service delivery in Ghana, Kenya, and Burkina Faso.
Study Highlights:
– Trial facilities benefited from infrastructure and equipment upgrades, essential drugs, trial vehicles, and additional qualified trial staff.
– Qualified trial staff served as role models, providing supportive supervision and reducing facility workload.
– Some facility staff received formal training and salary top-ups from the trials.
– Differential access to support caused dissatisfaction among some staff.
– Concerns were expressed about the end of the trial and the removal of financial and supervisory support.
Study Recommendations:
– Careful planning and engagement of key actors are needed at the outset, throughout, and after the trials.
– Minimizing trial-related harm and maximizing benefits require proactive measures.
Key Role Players:
– Health care providers and managers
– Senior investigators
– Fieldworkers
– Health managers and policy makers at district, regional, and national levels
Cost Items for Planning Recommendations:
– Infrastructure and equipment upgrades
– Essential drugs
– Trial vehicles
– Additional qualified trial staff
– Formal training and salary top-ups for facility staff
– Financial and supervisory support during the trial

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on a mixed methods study that includes audits, interviews, and group discussions. The study provides descriptive summaries and qualitative analysis of the data collected. However, the abstract does not mention specific findings or results, making it difficult to assess the strength of the evidence. To improve the evidence, the abstract should include key findings and results from the study, providing more specific information about the impact of malaria vaccine trials on health service delivery in Ghana, Kenya, and Burkina Faso.

Background: Clinical trials conducted in Africa often require substantial investments to support trial centres and public health facilities. Trial resources could potentially generate benefits for routine health service delivery but may have unintended consequences. Strengthening ethical practice requires understanding the potential effects of trial inputs on the perceptions and practices of routine health care providers. This study explores the influence of malaria vaccine trials on health service delivery in Ghana, Kenya and Burkina Faso. Methods: We conducted: audits of trial inputs in 10 trial facilities and among 144 health workers; individual interviews with frontline providers (n=99) and health managers (n=14); and group discussions with fieldworkers (n=9 discussions). Descriptive summaries were generated from audit data. Qualitative data were analysed using a framework approach. Results: Facilities involved in trials benefited from infrastructure and equipment upgrades, support with essential drugs, access to trial vehicles, and placement of additional qualified trial staff. Qualified trial staff in facilities were often seen as role models by their colleagues; assisting with supportive supervision and reducing facility workload. Some facility staff in place before the trial also received formal training and salary top-ups from the trials. However, differential access to support caused dissatisfaction, and some interviewees expressed concerns about what would happen at the end of the trial once financial and supervisory support was removed. Conclusion: Clinical trials function as short-term complex health service delivery interventions in the facilities in which they are based. They have the potential to both benefit facilities, staff and communities through providing the supportive environment required for improvements in routine care, but they can also generate dissatisfaction, relationship challenges and demoralisation among staff. Minimising trial related harm and maximising benefits requires careful planning and engagement of key actors at the outset of trials, throughout the trial and on its’ completion.

An initial partners’ meeting was held in Kintampo, Ghana in March 2012 to develop a common study methodology across all three sites to allow for inter-site descriptive comparisons. To describe the malaria vaccine trial inputs and explore their impact on the perceptions and practices of these health managers and health care providers we employed both quantitative (health facility and human resources audits) and qualitative (in-depth interviews and focus group discussion) methods. Data were collected between May 2012 and June 2013 by teams of trained research officers and fieldworkers in each country using the agreed common data collection techniques. Sampling procedures were purposive to ensure inclusion of people of different cadre, level of involvement in trial activities and demographic characteristics. The data sources, sampled facilities and characteristics of interviewees in the three countries are described in Table 3. MVT: Malaria vaccine trial a MVT facilities audited include a referral hospital (Ghana = 1), health centres (Ghana = 3; Kenya = 1), dispensaries (Kenya = 2), community clinics (Burkina Faso = 2) and a clinical trial facility (Burkina Faso = 1). In each country, all of the facilities (n = 10) involved in the MVT were included in the health facility audits. Each facility was visited by the research team and a structured checklist was used to collect data on the presence, functional status (on day of survey) and funding source of laboratory and clinical care equipment, as well as facility infrastructure (such as buildings and vehicles). The human resource audit (n = 144) covered all of the facilities involved in the MVTs and involved a purposefully selected sample of staff to represent the range and type/cadre of all staff present in each facility, and research centre staff involved in clinical trials. Data were collected on their primary and secondary responsibilities and whether these were linked to the malaria vaccine trial, and the type and nature of training received. In-depth interviews (IDIs) were undertaken with a range of health care providers and managers to investigate their experiences and perceptions of the impact of clinical trial activities on the quality of health care provided at the health facilities. Issues around MVT-MoH linkages and perceptions of post MVT impact were also explored. IDIs were held with senior investigators (n = 12), front-line health workers (n = 87) and health mangers (n = 14). All senior investigators with at least one year’s involvement in planning and implementation of the malaria vaccine trials were approached for interviews, and frontline health workers were purposefully selected based on their mechanism of employment (MoH staff involved in the trial, MoH staff not involved in the trial, and MVT employed staff) and their cadre (clinicians, public health officers, fieldworkers and support staff). We also approached health managers and policy makers at district, regional and national level with relevant health programme planning and implementation roles, such as Regional hospital mangers, District Health Management Team (DHMT) members and Maternal and Infant Health programme directors—see Table 3. In addition, in Kenya and Ghana focus group discussions (n = 9) were conducted with the fieldworkers (employed by the trial to conduct follow-up home visits and liaise between the health facility and community) in order to gather their views on how the trial inputs affected the functioning of the health facilities. Each site was responsible for their own data collection and management. For qualitative data, verbatim transcriptions and back translations were undertaken by the study team in each country. Across sites the data were managed in NVivo 8 and analysed using a framework approach [44, 45]. This process involved in-depth reading of transcripts to identify emerging themes across the datasets, developing a coding framework to code data, generating charts to summarise the data by categories, and data interpretation, to identify differences/similarities and provide explanations of the analysed data. The quantitative audit data were collated by the study teams in each country, and entered into Microsoft Excel to generate descriptive summaries. To facilitate cross-site synthesis and comparison, empty analysis tables were developed on the basis of an in-depth discussion of preliminary results from each site (one week workshop in Ghana). Each site then pulled out all data—qualitative and quantitative—to populate these tables. In a second workshop in Kenya, the data for each site were then collated and discussed. We employed the World Health Organisation (WHO) health systems building blocks to aid in the development of our framework for analysis and tables, and in the interpretation of data [46]. Ethical approvals were obtained from national ethics committees of the respective countries prior to the commencement of study activities (Ghana Health Service and Kintampo Health Research Center in Ghana; KEMRI National Ethical Review Committee in Kenya; Comité d’Ethique sur la Recherche en Santé (CERS) and Comité de Bioéthique Institutionnel du CNRFP (CIB/CNRFP) in Burkina Faso. Separate local ethics clearances were also obtained at each site. All data were anonymised, with access limited only to researchers. Written informed consent was obtained from all interviewees. Prior to any data collection, the malaria vaccine trial staff were briefed about our study, and permission was sought to conduct the work from health facility staff and opinion leaders. We gave feedback to malaria vaccine trial staff on emerging issues of importance and shared preliminary results with the MVT teams.

Based on the provided information, it is not clear what specific innovations or recommendations are being sought to improve access to maternal health. The information provided describes a study on the influence of malaria vaccine trials on health service delivery in Ghana, Kenya, and Burkina Faso. The study explores the impact of trial inputs on the perceptions and practices of health care providers and managers.

To provide recommendations for improving access to maternal health, it would be helpful to have more specific information on the challenges or areas of improvement that need to be addressed.
AI Innovations Description
The recommendation to improve access to maternal health based on the described study is to ensure careful planning and engagement of key actors throughout the trial process. This includes:

1. Involving health managers and healthcare providers: Engage health managers and healthcare providers from the beginning of the trial to understand their perceptions and concerns. This will help in addressing any potential challenges and ensuring that the trial inputs align with the needs of routine health service delivery.

2. Providing infrastructure and equipment upgrades: Trials should provide infrastructure and equipment upgrades to trial facilities, which can also benefit routine health service delivery. This includes ensuring access to essential drugs, trial vehicles, and additional qualified trial staff. These resources can improve the quality of maternal health services.

3. Supporting healthcare providers: Qualified trial staff in facilities should be seen as role models by their colleagues and should assist with supportive supervision and reducing facility workload. This can help in improving the skills and knowledge of healthcare providers, leading to better maternal health outcomes.

4. Ensuring equity in access to support: Differential access to trial support can cause dissatisfaction among healthcare providers. It is important to address this issue and ensure that all healthcare providers have equal access to support throughout the trial. This will help in maintaining motivation and preventing demoralization among staff.

5. Planning for post-trial sustainability: Trials are short-term interventions, and it is important to plan for the post-trial period. This includes considering the financial and supervisory support that will be removed after the trial. Efforts should be made to ensure a smooth transition and sustainability of the improvements made during the trial.

By implementing these recommendations, trials can not only benefit facilities, staff, and communities but also contribute to improving access to maternal health services in the long run.
AI Innovations Methodology
Based on the provided description, it seems that the focus is on understanding the impact of clinical trials on health service delivery in Ghana, Kenya, and Burkina Faso. The study explores the influence of malaria vaccine trials on health facilities, health workers, and communities in these countries. The methodology used includes audits of trial inputs, individual interviews with frontline providers and health managers, and group discussions with fieldworkers. The data collected is both quantitative (health facility and human resources audits) and qualitative (in-depth interviews and focus group discussions).

To improve access to maternal health, some potential recommendations based on the findings of this study could include:

1. Strengthening infrastructure and equipment: Based on the benefits observed in facilities involved in trials, investing in infrastructure and equipment upgrades can improve access to maternal health. This could include providing necessary medical equipment, improving the physical infrastructure of health facilities, and ensuring reliable access to essential supplies.

2. Supportive supervision and workload reduction: The presence of qualified trial staff as role models and their assistance with supportive supervision and workload reduction was seen as beneficial. Implementing similar strategies in routine maternal health care can improve the quality of care and reduce the burden on health workers. This could involve training and deploying additional qualified staff to support maternal health services and providing ongoing supervision and mentorship.

3. Training and capacity building: The study mentioned that some facility staff received formal training and salary top-ups from the trials. Investing in training and capacity building for health workers in maternal health care can enhance their skills and knowledge, leading to improved access to quality care. This could include providing specialized training in maternal health, conducting regular workshops and seminars, and offering incentives to encourage continuous professional development.

4. Ensuring equitable access to support: The study highlighted concerns about differential access to trial support, which caused dissatisfaction among some health workers. To improve access to maternal health, it is important to ensure equitable distribution of resources and support. This could involve developing clear guidelines and criteria for resource allocation, implementing transparent and fair processes for accessing support, and regularly monitoring and evaluating the distribution of resources.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could be developed using a combination of quantitative and qualitative approaches. Here is a brief outline of a possible methodology:

1. Baseline data collection: Conduct a comprehensive assessment of the current state of maternal health access, including factors such as infrastructure, staffing, training, and resource allocation. This can be done through surveys, interviews, and data analysis.

2. Intervention design: Based on the identified recommendations, design interventions that target the specific areas for improvement. These interventions should be evidence-based and tailored to the context of each country.

3. Simulation modeling: Develop a simulation model that incorporates the interventions and their potential impact on improving access to maternal health. This can be done using mathematical modeling techniques or simulation software.

4. Data input: Input relevant data into the simulation model, including information on the current state of maternal health access, the proposed interventions, and any other relevant variables.

5. Simulation runs: Run the simulation model multiple times to simulate different scenarios and assess the potential impact of the interventions on improving access to maternal health. This can help identify the most effective interventions and their expected outcomes.

6. Analysis and interpretation: Analyze the simulation results and interpret the findings. This can involve comparing different scenarios, identifying key drivers of change, and assessing the feasibility and sustainability of the proposed interventions.

7. Recommendations and implementation: Based on the simulation results, develop recommendations for implementing the interventions to improve access to maternal health. These recommendations should consider the potential challenges, costs, and benefits associated with each intervention.

8. Monitoring and evaluation: Implement the recommended interventions and establish a monitoring and evaluation framework to assess their effectiveness. This can involve collecting data on key indicators, tracking progress over time, and making adjustments as needed.

By following this methodology, it is possible to simulate the impact of recommendations on improving access to maternal health and inform decision-making for implementing effective interventions.

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