The impact of training non-physician clinicians in Malawi on maternal and perinatal mortality: a cluster randomised controlled evaluation of the enhancing training and appropriate technologies for mothers and babies in Africa (ETATMBA) project

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Study Justification:
– Maternal mortality in sub-Saharan Africa is high and perinatal mortality is even higher, with many of these deaths being preventable.
– Malawi, like many other sub-Saharan countries, lacks resources and highly trained medical specialists.
– Non-physician clinicians (NPCs) play a crucial role in providing healthcare to mothers and babies in Malawi.
– The aim of this study is to evaluate a project that trains NPCs in advanced neonatal and obstetric care, with the hope of improving healthcare and workforce development.
Study Highlights:
– The study is a cluster randomized controlled trial conducted in 14 districts of central and northern Malawi.
– Eight districts will receive the intervention, which involves training NPCs as advanced leaders in neonatal and obstetric care.
– The primary outcome measure is maternal and perinatal mortality.
– Data will be collected from all facilities in both intervention and control districts for 3-4 years.
– A process evaluation using quantitative and qualitative methods will also be conducted to evaluate the implementation of the intervention.
Study Recommendations:
– The findings from this study are expected to lead to a sustainable improvement in healthcare and workforce development in Malawi.
– It is recommended to prioritize education and training of NPCs to improve healthcare for mothers and babies in countries like Malawi.
Key Role Players:
– Non-physician clinicians (NPCs) in the intervention districts
– District medical and nursing officers in the intervention districts
– Research assistants from the College of Medicine in Malawi
– Colleagues within the Ministry of Health and the College of Medicine
– Visiting team from the UK
Cost Items for Planning Recommendations:
– Training program for NPCs
– Travel and accommodation for research assistants and visiting team
– Data collection and analysis
– Communication expenses (mobile phones, internet access)
– Research equipment and supplies
– Administrative support and coordination

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is strong because it describes a cluster randomized controlled trial with a clear aim and methodology. The study will be conducted in 15 districts in Malawi, with 8 districts receiving the intervention. The primary outcome measure is maternal and perinatal mortality. The abstract also mentions a process evaluation using both quantitative and qualitative methods. However, to improve the evidence, the abstract could provide more details on the sample size calculation, randomization process, and data analysis plan.

Background: Maternal mortality in much of sub-Saharan Africa is very high whereas there has been a steady decline in over the past 60 years in Europe. Perinatal mortality is 12 times higher than maternal mortality accounting for about 7 million neonatal deaths; many of these in sub-Saharan countries. Many of these deaths are preventable. Countries, like Malawi, do not have the resources nor highly trained medical specialists using complex technologies within their healthcare system. Much of the burden falls on healthcare staff other than doctors including non-physician clinicians (NPCs) such as clinical officers, midwives and community health-workers. The aim of this trial is to evaluate a project which is training NPCs as advanced leaders by providing them with skills and knowledge in advanced neonatal and obstetric care. Training that will hopefully be cascaded to their colleagues (other NPCs, midwives, nurses).Methods/design: This is a cluster randomised controlled trial with the unit of randomisation being the 14 districts of central and northern Malawi (one large district was divided into two giving an overall total of 15). Eight districts will be randomly allocated the intervention. Within these eight districts 50 NPCs will be selected and will be enrolled on the training programme (the intervention). Primary outcome will be maternal and perinatal (defined as until discharge from health facility) mortality. Data will be harvested from all facilities in both intervention and control districts for the lifetime of the project (3-4 years) and comparisons made. In addition a process evaluation using both quantitative and qualitative (e.g. interviews) will be undertaken to evaluate the intervention implementation.Discussion: Education and training of NPCs is a key to improving healthcare for mothers and babies in countries like Malawi. Some of the challenges faced are discussed as are the potential limitations. It is hoped that the findings from this trial will lead to a sustainable improvement in healthcare and workforce development and training.Trial registration: ISRCTN63294155. © 2012 Ellard et al.; licensee BioMed Central Ltd.

The study is a cluster randomised controlled trial. The study will be conducted in districts within the central and northern regions of Malawi. There are a total of 14 districts in these regions which will be randomised to either intervention or control (Dedza, Dowa, Kasungu, Lilongwe, Mchinji, Nkhotakota, Ntcheu, Ntchisi, Salima, Chitipa, Karonga, Mzimba, Nkhata Bay, and Rumphi). A pragmatic decision was made that as Lilongwe is such a large district it would be divided into two with one half randomised to intervention and the other to control making a total of 15 districts. Stratified randomisation of the districts, to ensure the two groups are comparable will be carried out by a statistician at the University of Warwick, UK who will then inform the study team of the outcome. There will be 8 intervention districts and 7 controls. Control districts will be offered the intervention at the end of the trial as part of a randomised waiting-list design. The primary data collection team will consist of a research assistant based out of the College of Medicine (in Blantyre, Malawi) and a selection of trained clinical officers from each of the intervention districts (1 or 2 from each district). These clinical officers will be provided with basic training in research methods and full training collecting the quantitative data from their own and an adjacent control district by the research team at the University of Warwick. The Malawi team will be supported locally by colleagues within the Ministry of Health and the College of Medicine and by visits from the UK team; as well as regular electronic/mobile contact. The College of Medicine research assistant will visit all districts and carry out checks on data recording accuracy as well as providing a point of contact and support. Within the eight intervention districts approximately 50 NPCs will receive advanced leadership and skills training (the intervention). In each district randomised to the intervention between 3 and 8 NPCs (the number depends on size of district but a minimum is 3 in one district with the overall total not exceeding 50). The research assistants will invite the ‘trained’ NPCs to be involved in the evaluation. Their involvement will be related to the process evaluation and will include interviews and recording their project based activities. District medical and nursing officers in the intervention districts will be invited to be interviewed about the districts involvement in the intervention and at follow-ups how the intervention has worked/fitted in to the hospital routine. As part of the intervention the trained NPCs are expected to cascade the training they have received to others within their districts (e.g. other NPCs or midwives). The research assistant will identify a number of these people from the NPC’s records and they will be approached and interviewed about the training they received and how they have been able or indeed unable to implement what they have been taught. All participants will be provided with information about the study and asked to provide written informed consent. Anticipated start date is 01/11/2011 with an anticipated end date of 28/02/2014 The primary sample for the RCT is the fifteen districts, the health facilities within them and 50 participating NPCs from the 8 intervention districts. The project’s primary outcome measure is the proportion of live-born infants who died in the hospital or health facility in the early neonatal period, i-e, from birth to the day of discharge from facility. Other outcome measures of interest considered are the comparisons of proportions of fresh stillbirths. We computed a sample size for proportion in an unmatched study with 80% power, a one sided alpha of 0.05, and an Inter Class Correlation of 0.0025. The current neonatal mortality rate in Malawi: is 30 per 1000 live births [19] and assuming a minimum number of clusters of 14 in our sampled districts, the study was powered to detect a 20% difference between the two birth cohorts (intervention and control) in the proportion of live-born neonates delivered by NPCs or staff trained by them) surviving to hospital discharge. With the allocation of 7 districts per arm with an estimated 700 births per NPC (or staff trained by them), 1028 births per study arm per district would provide sufficient power for a total of 2056 neonates per district. That is, a decline from 30 per 1000 live births to 24 per 1000 live births, rate ratio 0.20. Only NPCs providing emergency obstetric and neonatal care (EmONC) from the 7 randomised intervention districts in central and northern region who have received the intervention training will be invited and those who will give their informed consent will be included in the project or: The district medical or nursing officers (in intervention districts) or NPCs, midwives or nursing staff who have been trained by one of the intervention NPCs Primary data will be extracted from the maternity log (Malawi Ministry of Health Maternity Register, Version 2 (July 2008)) at the district hospital and rural hospitals in each district by the research assistants monitored by the local and UK team. Other facilities within the district (e.g. health Centres) also complete the same maternity log book from which summary data is returned to the district hospital on a monthly basis. These data will also be gathered by the researchers and the combined data will make up a complete picture of the districts. Data will be collected at three points in time. Baseline data will be collected on cases (from the maternity logs and summary logs) for the 12 months prior to the date the training was delivered with two follow-ups at 12 monthly intervals. A paper case report form (CRF) will be produced to facilitate data collection. Data will then be transferred to an MS Excel spread sheet for transfer to the study database. It is planned that our primary data will be that collected at source (i.e. each district). However, for the purposes of comparisons national data from national databases will also be sourced via our collaboration with the Malawian Ministry of Health for the same time periods. Within the intervention districts at the three time points (baseline, 12 and 24 months) the research assistants will approach the consenting NPCs (primarily to interview them, described below) but also to gather information about project related activities (e.g. who they have trained, when they did this, how many training session done, etc.). For process evaluation purposes training registers, adherence to training procedures (during the project period), knowledge scores and training feedback will also be collected and collated from the intervention team. No identifiable data will be recorded In the intervention districts interviews will be carried out at each of the three time points with consenting NPCs (who have received the intervention training). These will be semi-structured interviews about their experiences relating to the project and its impact on practice. District medical and nursing officers in the intervention districts will be invited to be interviewed about the districts involvement in the intervention and at follow-ups how the intervention has worked/fitted in to the hospital routine. As part of the intervention the trained NPCs are expected to cascade the training they have received to others within their districts (e.g. other NPCs or midwives). The research assistants will identify a number of these people from the NPC’s records and they will be approached and interviewed about the training they received and how they have been able or indeed unable to implement what they have been taught. Below is more detail about the interviews. In addition to those already noted we plan to interview the intervention facilitators towards the end of the project again to enhance the process evaluation. These interviews will mainly capture what the clinical officers that have been trained think about the training sessions. This will include feelings about the facilitators of the training, the content of the training, the training materials, the training period, and their expectations about the training. In addition participants will also be asked how the training has been beneficial to them, whether it has really improved their skills and also how easy or difficult it has been for them to train to fellow service providers. Plus included in this interview will be: These will be specifically designed to capture the challenges and obstacles that the trained clinical officers met and affected their performance after acquiring the required skills. The interviews will also capture how the trained clinical officers overcame the challenges. This will involve the clinical officers narrating a specific incident or situation e.g. managing a woman with PPH, the obstacle to doing that and how it was overcome. 50 critical incident interviews will be conducted, which means all clinical officers that have been trained in the ETATMBA program will participate. These interviews will focus on how well the trainee clinical officers have implemented the training program to their fellow service providers in their respective districts. Selected service providers that have been trained by the trainee clinical officers will be interviewed on how well they have received the training and on how beneficial they think the training given by trainee clinical officers is to them. Key personnel in hospitals from which the clinical officers come from will also be interviewed to find out how the Clinical officers have implemented the training program in their respective district hospitals. In addition the key personnel will also give their views on whether they have been changes in the competence and performance of the trained clinical officers after receiving the training as well as on the service providers that have been trained by the clinical officers. These interviews will capture facilitators’ feelings about the training. This will include their opinions on the content, training materials and period of training. In addition the facilitators will also be asked their general feelings about their participants and how easy or difficult it has been to train them. Researchers will, during visits, make field notes noting their own activities (e.g. time taken collecting data, interviews arranged, interviews cancelled, challenges) but also observations made during the visit (things they see related to the project). These notes will be collated and analysed as a source of information for the process evaluation. Randomisation of the districts will take place to identify the eight intervention districts. The intervention will then be offered to NPCs within these districts. The intervention team will employ a selection process to achieve appropriate participants in each district. However, this recruitment and selection process is not part of this research study. Once district allocation is known letters will be sent from the Malawi Health Ministry to the District Medical Officers informing them about the project and their allocation to it. These letters inform the district officers that the research team will be contacting them to make arrangements to start collecting data. The intervention training (described in more detail below) is delivered in cohorts away from the workplace. Within a couple of weeks of returning researchers from the team will visit the district. During this first visit they will gather the baseline quantitative data (described above) from district maternity records. They will also approach the trained NPCs and ask if they were willing to be involved in the evaluation. If so written informed consent will be obtained. Mutually agreeable times for interviews will be arranged being aware of the demands on time of their role. During interviews the researcher, will review the registers of training sessions run by the trainee (recorded in their log books), randomly select two of these people and arrange short interviews with them (firstly obtaining written informed consent). They will also arrange to interview the district medical officer and the district nursing officer. Data will be gathered at three points in time; baseline and two follow-ups at 12-month intervals. Written informed consent will only be obtained from new interviewees at follow-up, those consented earlier will be approached and retain the right to decline. Control districts will be visited by researchers at similar time points to the intervention (baseline, 12-months & 24-months). Data will be gathered from the maternity logs and district maternity summary sheets as in the experimental districts. However, no NPCs will be interviewed in these hospitals. Enhancing Training and Appropriate Technologies for Mothers and Babies in Africa (ETATMBA) is European Commission Framework 7 funded collaboration between the University of Malawi, the Malawi Ministry of Health, the University of Warwick (UK), the Karolinska Institute (Sweden), Ifakara Health Institute in Tanzania and GE Healthcare (UK). The project is working in Tanzania and Malawi but this RCT will only evaluate the impact of the intervention delivered in Malawi. The intervention is an 18 month programme of skills training and practice for NPCs in specific obstetric, neonatal and leadership skills delivered over three week-long intensive training modules with follow-up independent and workplace learning in year 1 followed by a six-month in-service training period to apply enhanced teaching, training and clinical audit. Module 1 will consist of in depth theoretical and practical review of the prevention and management of the five major causes of  maternal mortality and the three most common causes of neonatal death; birth asphyxia, low birth weight and infection. Module 2 will deal with leadership, values-based practice and clinical service improvement, and Module 3 will deal with pre-term labour. The control districts will continue with their usual EmONC services. Assessment of knowledge, competence and performance will be examined at the start of the programme and satisfaction, assessment of knowledge, competence and performance will be examined at the end. Trainees will have to successfully complete and pass a number of tasks (including audits, training others, reflective practice) Trainees will be asked to complete a short feedback questionnaire at the end of each days training noting what they feel they have learned and how valuable the training was to them. The training programme addresses the major causes of maternal and perinatal mortality, how to teach, and research and leadership skills. Practical and operative skills in the intervention districts will be supported by a specialist registrar in obstetrics working for a period of four weeks with NPCs to reinforce training, and rotating over the first year to all intervention hospitals. This on the job supervision and support will be supplemented by mobile and electronic communication between trainees and specialist consultants. Data from the district maternity registers will be analysed in an interrupted time-series. The full data set will consist of 3 full years of data (12-months prior to the start of the project and 24 months of the project). The time series will look at quarterly periods across the three years. Intervention districts will be compared with control. Data on satisfaction, assessment of knowledge, competence and performance will include results of tests set comparing pre and post scores in addition to assessment of the audit, training and reflective practice activities. Post training feedback questionnaires will provide a measure of satisfaction with the training. Where there are scores these will be presented descriptively. Depending on the availability and level of data obtained from national databases some comparisons will be carried out. For example comparing our observed rates with those reported nationally. Quantitative data will be entered onto a study database and transferred to STATA for analysis. Interviews will be digitally recorded, subject to permission of each participant, and where appropriate, will be transcribed verbatim. The recordings will be stored in a secure digital environment and only members of the research team will have access to them. Participants will not be identified and a code number will identify transcripts. Subsequent written material will use pseudonyms, for participants, and at the end of the study, recordings will be erased. Data will be analysed using the Framework method. This approach is described by Ritchie and Spencer [20] and Pope et al., [21] and is broadly as follows: • Data familiarization: reading of complete interview transcripts, listening to original audio-recordings and use of field notes; • Identifying a thematic framework: key issues, concepts and themes are identified and an index of codes developed; • Indexing: whereby the index generated through identification of the thematic framework is applied to all data; • Charting: a summary of each passage of text is transferred into a chart to allow more overall and abstract consideration of index codes across the data set and by each individual; • Mapping and interpretation: understanding the meaning of key themes, dimensions and broad overall picture of the data and identifying and understanding the typical associations between themes and dimensions; The charting process provides an opportunity to code data from numerous vantage points, by demographic factors, such as gender or age, by personality characteristics, such as looking specifically at people who are highly anxious compared to those who are not, or by medical aspects, such as those with a particular condition compared to those without. The computer package NVivo 8 will be used to facilitate this process. Researcher bias will be minimised through regular crosschecking of data and findings by the members of Research Team. In addition, transcripts will be returned to participants (where necessary) providing them with the opportunity to check the transcripts for accuracy and authenticity and to offer any subsequent reflections. Quotes will be used as exemplars of key points in the writing up of these data. Qualitative data from field notes (looking at reflective diaries etc.) will also be analysed this way. All participants will obey the charter of fundamental rights of the European Union (2000/C364701, 7 Dec 2000). The protocol has been reviewed and approved by the Biomedical Research Ethics Committee (BREC) at the University of Warwick, UK (143/09/2011), The College of Medicine research ethics committee (COMREC), Malawi (P.07/11/1102) and has the approval and support of the Ministry of Health, Malawi. Hospitals will be provided with full information about the trial and consent will be sought from the district medical officer for permission for access to the data required (e.g. maternity logs, summary maternity logs). Researchers will be respectful of the needs of the hospitals and make appropriate arrangements to visit and collect data. No patient identifiable data will be collected during this study. However, hospital data will be seen and summaries recorded on trial CRF for inputting into study database. Much of the data gathered relates to tragic events (e.g. maternal and neonatal deaths) and clinical events around these tragedies. Researchers gathering the data will hold all appropriate permissions of authorities involved (e.g. hospitals, Ministry, ethics) and undergone all clearance checks required. None of the data collected will identify individuals. Paper copies of data will be stored in a secure environment (locked office in locked filing cabinet) and entered onto a secure study database in a secure digital environment. Any digital data that cannot be securely downloaded to study databases due to local problems (e.g. lack of secure internet access) will be stored and transported on encrypted laptops and/or memory sticks. The safety of the researcher also needs to be considered. In this trial researchers will be travelling across Malawi into rural/remote districts and into major population centres. Most of the researchers employed on the project are Malawian nationals giving them a slight advantage as they have local knowledge however all of the researchers on the ground will employ a system of informing a central point about their movements with reasonable ‘check-in’ times. Mobile phones will be provided for this purpose; should a researcher not check in, the office would investigate and if necessary inform appropriate authorities. Transport and drivers are being employed on the study to move people which will add another level of security. The research study/trial will be explained to the trainees during their first training visit. They will be provided with an invitation to participate in the research and given information sheets and a consent form. Before the end of the training visit (and at least 24 hours after being given the information) a member of the research team will be available to take written informed consent from those wishing to participate. They will also collect some background and demographic information on each of the trainees (e.g. age, gender, years’ experience etc.). In terms of the research all that will be required of them is to keep a weekly log/report (which will be part of their training assessment anyway) and a little time for interviews with the researcher on three occasions. There is likely to be interference in communication, either by road, telephone or electronically. These are expected problems country wide and can be overcome by using any one of the communication methods available for any given time for contact between participants and researchers and within the NPCs network.

Based on the information provided, the potential innovations that can be used to improve access to maternal health include:

1. Training non-physician clinicians (NPCs) in advanced neonatal and obstetric care: This project aims to train NPCs such as clinical officers, midwives, and community health workers in advanced leadership skills and knowledge in neonatal and obstetric care. The training can be cascaded to other NPCs, midwives, and nurses, improving their skills and knowledge in maternal health.

2. Enhancing training and appropriate technologies: The project focuses on providing NPCs with skills training and practice in specific obstetric, neonatal, and leadership skills. The training program includes theoretical and practical review of major causes of maternal and perinatal mortality, leadership and values-based practice, and pre-term labor management.

3. On-the-job supervision and support: To reinforce the training, a specialist registrar in obstetrics will work with NPCs for a period of four weeks, rotating across intervention hospitals. This on-the-job supervision and support will be supplemented by mobile and electronic communication between trainees and specialist consultants.

4. Cascade training: Trained NPCs are expected to cascade the training they have received to others within their districts, such as other NPCs or midwives. This helps to spread the knowledge and skills gained from the training program, improving access to quality maternal health care.

5. Process evaluation: A process evaluation using both quantitative and qualitative methods, such as interviews, will be conducted to evaluate the implementation of the intervention. This evaluation will provide insights into the challenges faced and the effectiveness of the training program, allowing for improvements and adjustments to be made.

These innovations aim to address the high maternal and perinatal mortality rates in sub-Saharan Africa, particularly in countries like Malawi, by improving the skills and knowledge of healthcare staff and enhancing access to quality maternal health care.
AI Innovations Description
The recommendation from the study is to train non-physician clinicians (NPCs) in advanced neonatal and obstetric care in order to improve access to maternal health. The NPCs, such as clinical officers, midwives, and community health workers, will be trained as advanced leaders and will receive skills and knowledge in advanced neonatal and obstetric care. The training will be cascaded to their colleagues, including other NPCs, midwives, and nurses. The goal is to improve healthcare for mothers and babies in countries like Malawi, where there is a high maternal and perinatal mortality rate and a lack of resources and highly trained medical specialists. The training program will consist of three week-long intensive training modules, followed by independent and workplace learning in the first year and a six-month in-service training period in the second year. The program will cover topics such as the prevention and management of major causes of maternal and perinatal mortality, leadership, values-based practice, clinical service improvement, and pre-term labor. The impact of the training program will be evaluated through a cluster randomized controlled trial, comparing districts that receive the intervention with control districts. The primary outcome measure will be the proportion of live-born infants who die in the hospital or health facility in the early neonatal period. Data will be collected from maternity logs and summary logs at district hospitals and rural hospitals, as well as from other facilities within the districts. In addition to quantitative data, qualitative data will be collected through interviews with trained NPCs, district medical and nursing officers, and other service providers who have received training from the NPCs. The data will be analyzed using the Framework method, which involves familiarization with the data, identification of key issues and themes, indexing, charting, and mapping and interpretation. The findings from the study are expected to lead to a sustainable improvement in healthcare and workforce development and training.
AI Innovations Methodology
Based on the information provided, the study aims to evaluate the impact of training non-physician clinicians (NPCs) in Malawi on maternal and perinatal mortality. The study will be conducted in 15 districts, with 8 districts randomly allocated to receive the intervention and 7 districts serving as controls. The intervention involves training NPCs as advanced leaders in neonatal and obstetric care, with the hope that they will cascade their training to their colleagues. The primary outcome measure is the proportion of live-born infants who die in the hospital or health facility in the early neonatal period.

To simulate the impact of the recommendations on improving access to maternal health, a methodology could be developed using a combination of quantitative and qualitative data. The quantitative data could include the collection of baseline data on maternal and perinatal mortality rates in the intervention and control districts, as well as follow-up data at regular intervals. This data could be analyzed using statistical methods to compare the mortality rates between the intervention and control groups.

The qualitative data could involve interviews with the trained NPCs, district medical and nursing officers, and other healthcare providers who have received training from the NPCs. These interviews could explore their experiences with the training program, the challenges they faced in implementing what they learned, and the impact of the training on their practice. The qualitative data could be analyzed using thematic analysis to identify key themes and patterns.

By combining the quantitative and qualitative data, researchers can gain a comprehensive understanding of the impact of the training program on improving access to maternal health. This methodology would allow for a rigorous evaluation of the recommendations and provide valuable insights for future interventions in similar settings.

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