Maternal and newborn health priority setting partnership in rural Uganda in association with the James Lind Alliance: A study protocol

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Study Justification:
– Maternal and newborn deaths and ill health are common in low-income countries.
– Locally designed and responsive research can address these issues.
– This study aims to identify unanswered research questions for maternal and newborn health in rural Uganda.
– The study will involve seldom heard groups of mothers, their families, and health workers.
Highlights:
– The study follows the James Lind Alliance (JLA) Priority Setting Partnership (PSP) methodology.
– It will involve participants from an illiterate, non-internet population in rural eastern Uganda.
– The study will generate a top 10 list of maternal and newborn health research priorities.
– The research questions will be shared with relevant organizations and institutions for implementation.
Recommendations:
– Collaborative research is needed to address maternal and newborn health issues in rural Uganda.
– The study findings should inform the development of research agendas and funding priorities.
– The involvement of local communities and stakeholders is crucial for effective priority setting.
Key Role Players:
– Academic research group
– Research team at the Sanyu Africa Research Institute
– Steering group (including lay mothers’ group and partners’ group)
– Ministry of Health, Ministry of Education and sports, Ministry of Gender, labour and social development, Ministry of Science, Technology, and innovation in Uganda
– World Health Organisation
– Mbale regional referral hospital, Mbale district health office, Mbale district local government, Budaka District health office, Budaka district local government
– Academic institutions in Uganda (Busitema University, Makerere University, Mbarara University, Gulu University, Uganda Martyrs University, Uganda Christian University, Lira University)
– Funding and research agenda setting organizations (Medical Research Council, National Institute of Health Research, Bill and Melinda Gates Foundation, Global Fund)
Cost Items:
– The estimated budget for the PSP project is €28,000.
– Reimbursement for travel and time for participants attending PSP meetings.
– Modest allowances and meals for participants and babysitters during meetings.
– Training for lay members of the public and mothers involved in the steering group and partners’ group.
– Dissemination activities, including local meetings, radio and TV talk shows, and publications.
Please note that the above information is a summary of the study and its components. For more detailed information, please refer to the original publication in Research Involvement and Engagement, Volume 6, No. 1, Year 2020.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on the study protocol, which outlines the methods and procedures for conducting the research. The protocol describes the use of the James Lind Alliance (JLA) Priority Setting Partnership (PSP) methodology and provides details on participant recruitment, data collection, and analysis. While the protocol provides a comprehensive plan for the study, the evidence rating is not higher due to the lack of actual research findings or results. To improve the strength of the evidence, the researchers could consider conducting the study as outlined in the protocol and publishing the results in a peer-reviewed journal.

Background: Maternal and newborn deaths and ill health are relatively common in low income countries, but can adequately be addressed through locally, collaboratively designed, and responsive research. This has the potential to enable the affected women, their families and health workers themselves to explore ‘why maternal and newborn adverse outcomes continue to occur. The objectives of the study include; 1. To work with seldom heard groups of mothers, their families, and health workers to identify unanswered research questions for maternal and newborn health in villages and health facilities in rural Uganda 2. To establish locally responsive research questions for maternal and newborn health that could be prioritised together with the public in Uganda 3. To support the case for locally responsive research in maternal and newborn health by the ministry of health, academic researchers and funding bodies in Uganda. Methods: The present study will follow the James Lind Alliance (JLA) Priority Setting Partnership (PSP) methodology. The project was initiated by an academic research group and will be managed by a research team at the Sanyu Africa Research Institute on a day to day basis. A steering group with a separate lay mothers’ group and partners’ group (individuals or organisations with interest in maternal and newborn health) will be recruited. The PSP will be initiated by launch meetings, then a face-to-face initial survey for the collection of raw unanswered questions; followed by data collation. A face-to-face interim prioritisation survey will then be performed to choose questions before the three separate final prioritisation workshops. The PSP will involve many participants from an illiterate, non-internet population in rural eastern Uganda, but all with an interest in strategies to avert maternal and newborn deaths or morbidities in rural eastern Uganda. This includes local rural women, their families, health and social workers, and relevant local groups or organisations. We will generate a top 10 list of maternal and newborn health research priorities from a group with no prior experience in setting a research agenda in rural eastern Uganda. Discussion: The current protocol elaborates the JLA methods for application with a new topic and in a new setting translating the JLA principles not just into the local language, but into a rural, vulnerable, illiterate, and non-internet population in Uganda. The face-to-face human interaction is powerful in eliciting what exactly matters to individuals in this particular context as opposed to online surveys. This will be the first time that mothers and lay public with current or previous experience of maternal or neonatal adverse outcomes will have the opportunity to identify and prioritise research questions that matter to them in Uganda. We will be able to compare how the public would prioritise maternal health research questions over newborn health in this setting.

The PSP will take place in the districts of Mbale and Budaka, a rural setting in eastern Uganda. We will specifically recruit from four health facilities, namely Mbale regional referral hospital at health centre level 6, three community health centres at level 4 and 3, social services centres and the surrounding 10 villages. We will choose a facility in a central area with some urban population, follow compass bearings visually aligned to the main road outlets of Mbale town to map out community health facilities (east, west and south) with a largely rural population. We will map out villages around each facility using the sub-county Maps, from which 2 villages will be selected to participate in the study. Preliminary discussions via zoom, email, and one-day meetings were undertaken by the academic research group about the scope of the project. This informed the steering group discussion to have a broad scope, integrating both maternal and newborn health (Fig. 1). Maternal and newborn health are integrated. This scope covers conditions or aspects of care during pregnancy, the intrapartum period, the immediate postpartum period, the neonatal period, and the management of complications that develop during this period [12–14]. PSP Scope This will be global maternal and newborn health. Though this might vary, we expect the questions to cover aspects of aetiology, diagnosis, prevention, treatment or interventions, care, prognosis, health services, psychosocial, behavioural and social science, economic evaluation, or implementation science. Many of the people in the prioritisation process will be from an illiterate, non-internet population in rural settings of eastern Uganda. The process is expected to apply to all women, their families, social and health service providers across wider settings in Uganda. It might be extrapolated to a similar population in other low-income regions across sub-Saharan Africa. We plan to share research questions with the following agencies that have the potential to implement; Ministry of Health, Ministry of Education and sports, Ministry of Gender, labour and social development, Ministry of Science, Technology, and innovation in Uganda; World Health Organisation. All clinical care-related questions will be prepared and submitted to the Mbale regional referral hospital, Mbale district health office, Mbale district local government, Budaka District health office, Budaka district local government, and Ministry of Health. We will prepare a report with all research priorities and share with World Health Organisation, and academic institutions in Uganda namely Busitema University, Makerere University, Mbarara University, Gulu University, Uganda Martyrs University, Uganda Christian University and Lira University. The students or faculty of Master of Public Health, Master of Medicine, Masters of Midwifery and Bachelor in midwifery will be encouraged to implement the research questions as partial requirements for fulfilment of their programmes. We will prepare a study report with a list of top research questions and share with funding and research agenda setting organisations, namely; the Medical Research Council (MRC), National Institute of Health Research (NIHR), Bill and Melinda Gates Foundation, Global Fund, as well as any other major research funding bodies. The PSP will open and last for 12–18 months of implementation. The outbreak of COVID-19 pandemic and the lockdown restrictions in Uganda have subsequently affected our timelines. The study is expected to complete in August 2021 (Fig. 2). PSP timelines The study will follow the James Lind Alliance (JLA) priority setting partnership (PSP) method, well described in a freely available on-line manual [11]. This is a multi-stepped pragmatic method for research priority setting [15, 16]. The JLA PSP brings together patients, carers, and health professionals to identify treatment uncertainties, which become research questions [15–17]. The method considers the opinions of ‘experts by experience’. The method is “focussed on being inclusive, transparent, and evidence-based” [11, 16]. The current protocol elaborates these methods for use with a new topic and in a new setting. The present PSP is underpinned by a socio-ecological model (SEM) [18, 19], a system of classifying the main influences in research priority setting in low-income regions. The model has its foundation in the social choice theory [20], combining individual preferences to reach a collective decision, as well as the utility theory [21], understanding the interest of individuals before talking of the interest of the community. This model has the potential to enable women themselves to explore ‘why maternal and newborn adverse outcomes continue to occur?’ [22]. In this way, it can identify research questions that apply to the local context using a transparent method [15]. We will apply the SEM model whenever selecting participants at each phase of the prioritisation process. In October 2016, the academic research group (the University of Liverpool and Sanyu Africa Research Institute) contacted JLA via an email expressing interest to set up a PSP for maternal health in Uganda as part of a Ph.D. training proposal. The academic research group made an initial enquiry with JLA to initiate and develop the process for priority setting. JLA shared the PSP information for guidance including a readiness questionnaire and found us not ready to start due to lack of funding. However, we continued to develop the idea. Upon confirmation of funding for the Ph.D. training in 2017, the potential for a PSP was discussed again with JLA in November 2017, and a half-day meeting in London in June 2018. The attendees represented the University of Liverpool, University College London, University of Leicester, University of Leicester, the James Lind Alliance, and the Sanyu Africa Research Institute in Uganda. The meeting discussions included the scope, which initially included gynaecological conditions; a discussion of a grant application for the PSP. We later submitted a grant application to MRC, Health systems Research initiative foundation call, which was not funded, with a notification in October 2018. The academic research group submitted a similar application with the scope of maternal and newborn health as part of the BabyGel trial grant application to the European and Developing Countries Clinical Trials Partnership (EDCTP). This was funded and commenced in February 2019. The Academic research team immediately engaged JLA again via zoom to discuss the readiness to implement the PSP, its implementation modalities for academic training purposes, and agree on the JLA chair. The PSP is set up primarily for academic training purposes, with the leadership and management team of four groups, namely; academic research group, steering group, lay mothers’ group, and partners’ group. The academic research group consists of the academic faculty (supervisors) of the University of Liverpool and Makerere University, the student, and the research team. This group formed after registration for Ph.D. training with the University of Liverpool as an offsite student based at the Sanyu Africa Research Institute. This is a research institute in rural Uganda that uses research and innovations to improve outcomes for mothers and newborns (www.safri.ac.ug). The institute will serve as the local coordinating organisation for this PSP with the research team. The research team will consist of research assistants (3 females) led by the student (male). This will form the secretariat responsible for managing the PSP on a day to day basis in Mbale. The research team members will have a background in medical, nursing, midwifery, and or social sciences, basic skills in qualitative research methods, and be fluent in any one local language (Lumasaba, Lugwere, Luganda, Ateso). They will be trained in the PSP and JLA method. They will coordinate, administer, and manage the overall process in Mbale including organising meetings and workshops, collecting, managing, and analysing data. The steering group includes membership of mothers, carers, health, and social workers with experience or interest in pregnancy, childbirth, and newborn health. This will be a diverse group of 15 members, to be recruited by the academic research group (Additional file 1 describes the characteristics of members). The student purposively identifies persons based on peer knowledge and personal contacts or experience in this particular setting. In this particular PSP, the student made phone calls and physical face to face conversations with 14 potential mother and carer representatives, discussed the project, and invited the 7 for membership. Meanwhile, 10 clinical care representatives were talked to via phone call or face to face and selected 7 health workers to the membership. Each member was sent an appointment letter, meeting invitation letter via email, and a hard copy delivered at the time of the first meeting. JLA provided an independent chair for the steering group, who set up and signed a contract with the academic research group/ Sanyu Africa Research Institute. The tasks and roles of the steering group will be in line with the JLA guidebook. JLA adviser will chair the group meetings and facilitate the final priority setting workshop in Mbale. The academic research group will keep as observers to the steering group. The lay mothers’ group is an advisory group of 5 lay mothers to the steering group. It includes mothers with little or no formal education, whose voice is hardly heard of, and living in hard to reach villages of Uganda, with previous experience or adversity of pregnancy, childbirth, and or newborn health as a typical African woman. The purpose of this subgroup is to actively engage these disadvantaged and marginalised group of women whose voice and influence could easily be lost in the steering group. The mother and clinical representatives to SG with personal contacts approached this kind of mother for participation in the group. The subgroup has a representative on the steering group, who is a traditional birth attendant and understands multiple local languages in the area. S/he will chair the subgroup meetings and present their views or voices to the Steering group. The research team will organise a one-day training for the subgroup in a basic introduction to the principles of public involvement and James Lind Alliance. The research team will organise subgroup meetings a week before any steering group meeting throughout the PSP. The research team will take minutes and remain as observers to the subgroup’s meetings. The minutes from the subgroup meeting will be used to ensure their voices are appropriately represented to the steering group. Partners’ group will be made up of individuals or organisations with interest in pregnancy, childbirth, and newborn health in rural eastern Uganda (Additional file 1). Their role will be to execute actions decided by the steering group. They will support and promote the PSP, help spread the message about the PSP to their contacts, publicise the PSP surveys to the staff and their clients, encourage their members to take part in the prioritisation processes and disseminate the results. The student, a research team member will identify 20 individuals and organisations from which 10–15 will be selected and confirmed to get involved in the PSP by the steering group. The study will be initiated by four separate initial meetings amongst the leadership and management team, occurring on different days. Additional file 2 shows the minutes of the initial meetings held. The present study involves many of the participants from an illiterate, non-internet population in rural eastern Uganda. These include women, their families, health and social workers, and relevant local groups or organisations. Individuals will be eligible to participate in the surveys and priority setting workshops if they are at least 16 years of age, live in eastern Uganda, and have experience or interest in pregnancy, childbirth, and newborn health care. The study intends to listen to voices of the seldom heard groups of sex-workers, those with a disability (or whose newborn is affected), and teen mothers with regards to their experience in pregnancy, childbirth, postnatal care, and newborn care. We too intend to hear from the traditional herbalists or witch doctors and traditional birth attendants and how they influence or would wish to influence maternal and newborn health in this setting. The details of the population at each socio-ecological level are described in Table 1. Study population and inclusion criteria Individual (Mother) who has had or plans to become pregnant or give childbirth • Women of reproductive age, regardless of religious identity, socio-economic status, or literacy. • Pregnant and postnatal mothers • Mothers with history of any maternal or newborn morbidity • Mothers with disability (lame, blind, deaf etc) • sex workers, surrogate mothers • Teenage mothers (13–19 years) or even those pregnant before 13 years Interpersonal (carers) of women with history of pregnancy, childbirth or newborn care Social networks and social support systems, including • Family (husbands, parents of mothers with any experience of maternal or neonatal morbidity / mortality) • friends, peers, or co-workers of the above individuals. • religious networks (Religious leaders) • customs or traditions (Clan leaders). Community (wider stakeholders) with interest in maternal and newborn health Relationships among organizations, institutions, and informational networks within defined boundaries, including • village associations (women’s groups) • community leaders (Local council I-III, religious leaders) • transportation (UTODA leaders, motorcyclist and car drivers) • Village health teams (VHTs) • Traditional healers, witch doctors, Traditional birth attendants Organizational (Health and social care professionals) interested in maternal and newborn health in eastern Uganda Organizations or social institutions with rules and regulations for operations that affect how, or how well, maternal and newborn health services are provided to an individual or group; • Schools that include women’s health in the curriculum (primary, secondary). • Tertiary institutions (Universities, colleges) • Health facilities (private and public clinics/ hospitals). Health workers with experience in maternal and newborn health • Community based organisations or groups focused on Women’s Health, REHEMA The individual will be eligible to participate in the PSP if s/he meets any of the 4 broad criteria, aligned to the SEM. We will involve participants described in Table ​11 in all the key stages of the priority setting exercise. The research team member will select mothers and their families by convenience sampling to participate in this PSP. We will purposively select participants at each SEM level with current or previous experience in pregnancy or childbirth. We will purposively select vulnerable and marginalised groups including sex workers, women with disabilities, carers of newborns with anomalies and teenagers, traditional herbalists, and traditional birth attendants. The purposive sampling techniques will ensure the representation of voices from vulnerable and marginalised groups of people at each stage of the PSP. A further exponential non-discriminative snowball sampling will be used to sample mothers or families that have experienced any death of the mother or baby or severe morbidity to participate in the PSP. Recruitment into the PSP will largely be face to face. The research team will physically visit antenatal care clinics, labour suites, postnatal wards, high dependency units, young child clinics, family planning, and immunisation clinics, and gynaecologic wards in community health facilities. They will too visit homes, churches, villages, places of work (shrines, motorcycle stages), and organisations or attend meetings or workshops to recruit participants. Three research members will walk, take motorcycles (Boda-boda) and or taxi to visit each health facility or organisation, meet the institutional representative for introduction and orientation to the staff and clients or participants, will check that the survey launch poster is pinned on the notice boards or offices. In the health facility, the research team will participate in the clinical care of pregnant and postnatal mothers before starting recruitment. Unlike the UK’s online surveys [16, 23–27], these will be face to face surveys. Face-to-face visits are considered to engage participants actively than online surveys [28]. Further, some local members of the Steering group (SG) will identify potential participants and recruit them directly into the study. While representatives of partner organisations will encourage their clients to participate in the prioritisation exercise. During the face to face recruitment, the research team member will present study information to the participant, obtain informed consent from each participant, and then administer the questions during the surveys. We will also upload initial and interim prioritisation questions online on the PSP microsite to potentially reach persons with access to the internet in some parts of Mbale. The link to surveys will be sent to WhatsApp groups. The research team will directly contact social groups and leaders of institutions, inform and invite them to participate in the PSP. The research team will present the surveys to the partners’ group during the launch meeting and introduction meeting at each organisation or group. The partners’ group will place survey launch poster (Fig. 3), with inclusion criteria and PSP secretariat or research team contacts, in the partners’ premises to advertise the surveys. PSP initial launch poster The research team will share PSP information to the general public via twitter @maternal_jlapsp and a microsite. The research team together with members of the steering group will hold a launch promotional radio talk show at, Step Broadcasting media (SBC), a local radio station in Mbale with a coverage of up to 4 million people. The members of the steering group and the partners’ group will be encouraged to promote the PSP through their social groups, WhatsApp groups, departmental or village meetings. The research team will create a WhatsApp group to continuously engage and update steering Group members with the PSP recruitment progress. Table 2 shows the sample size for each phase of the priority setting process. Sample size for the priority setting partnership We will recruit 320 participants in the initial survey. The target sample is 120 (100–140) seldom-heard participants (mothers and their families), 20 (10–30) wider stakeholders, and 80 (60–100) health and social care professionals) for face to face data collection. The survey will also be uploaded online, and we expect to reach about 100 persons with access to the internet. Though this is a small sample size for the initial survey compared to previous JLA PSPs [11, 23–27, 29], we expect at least 300 responses to be generated from this sample. This is within the range of 100 s to 1000s for the initial survey responses from previous PSPs [11]. We aim to reach a sample of 200 participants for interim prioritisation. Though this sample size is not based on the average of the previous JLA studies [23–27] for this step of the JLA process, it is above the childhood disability PSPs [11]. Unlike, the previous studies that have used online surveys, this study will involve face-to-face recruitment, which would be costly if we attempted to reach the same target population. However, we shall test the adequacy of the sample size iteratively. The principal investigator will review the results from the 40% data against the next 20% of the data for any significant change in the result. An average sample size of 27 participants will be invited by the steering group to take part in a one-day workshop. The JLA method recommends a minimum of 12 and a maximum of 30 patients, caregivers, and clinicians [16]. Previous studies have used a sample size of 20 to 43 [23–27]. Participants’ characteristics have been described in Additional file 1 and Table ​Table11 for the priority setting surveys. However, for the priority setting workshop, we shall ensure each participant is an ‘expert by lived experience’ about maternal and newborn health. The participants will include, 4 pregnant women, 3 postnatal mothers, 8 carers (husbands, mothers in law), 4 midwives, 2 obstetricians, 2 neonatal nurses, 1 paediatrician, and the rest will be other vulnerable and marginalised population. The research team plans to reimburse participants for travel and time for any PSP meeting away from their homes. We will invite motorcyclists, and sex workers to the research office for data collection and will pay cash for their time and travel. Mothers involved in priority setting workshops will be encouraged to move with their babysitters who too will receive a modest allowance and a meal. There will be a designated room for breastfeeding mothers during the meetings, but in our settings, these mothers are too allowed to breastfeed freely in the meeting venue. We will train mothers and other lay members of the public joining the steering group and partners on principles of public involvement, and award them with a certificate of participation at the end of the PSP. We will allow time for the lay public and mothers to offer their voice during the priority setting workshop and any other PSP meeting. The research group will develop the initial questions iteratively with women, mothers, carers, and professionals in Mbale via individual face to face interviews. The draft questions will be presented to and reviewed by the partners’ group, and lay mothers’ group in separate half-day group meetings. We will then pilot the questions in Mbale via face to face individual interviews with 10 participants (4-mothers, 2 husbands, 2-midwife, 1-priest, and 1-motorcyclist) to improve the design and clarity of questions. The Steering Group will review and approve the final initial survey tool (Additional file 3), that will be uploaded onto the open data kit (ODK) (www.opendatakit.org), an electronic data capture system, and loaded onto a mobile smartphone. The research team will be trained in the protocol, data collection methods and will perform study dry runs before starting data collection. The research team will apply face to face data collection largely through verbal interactions with individuals or groups at a convenient location. In each interview, ‘we will simply ask participants to ask us questions’, which will take approximately 30–60 min to complete. We will begin by asking the participant to tell us their story before the big questions. We will input the participant’s responses directly into the mobile smartphone for most interviews while engaging with the participant. Each interview will be audio recorded on the smartphone with the permission of the participant. Audio records will be transferred to a password-protected computer, labelled with the participant identifier, and used to check against participants’ entered questions. The research team member will administer printed paper version questionnaires to a small number of participants whenever the mobile phones are off or faulty, complete the form in wet ink, and subsequently enter the paper version responses into the smartphone system. The research team will conduct individual phone to phone interviews with individuals from either hard to reach areas or due to a busy schedule or transport challenges to access the participants. The research team will administer the survey questions in the local language understandable to the participant (Luganda, Lumasaba, Lugwere, or Ateso). The research team member fluent in a particular local language will directly translate and ask the questions to the participants who neither speak nor understand English. At the end of the interview, each participant will be asked to confirm their willingness to participate in the interim and priority setting workshop. The JLA adviser will observe at least two face to face interviews with the participants via the zoom video meeting facility. The student will review each completed form against the audio-record at the end of each field day and the survey. The student will export data from the ODK system as a CSV file with the raw questions every two weeks, which will serve as a data handling excel file. We will perform ongoing cleaning of the data while the survey is still open, and an interim sub-analysis of participants’ demographics to identify under-represented study population in the preliminary responses and set a schedule for purposive recruitment. The student will prepare a complete clean dataset at the end of the initial survey, to categorise and summarise, while maintaining an audit trail. Each participant entry into the data handling excel file will be checked against the consent form, enrolment log and audio recording. We will double-check each participant’s entries against the audio recording to prevent the research team bias of entering questions based on their technical jargon and losing the lay context. The student or another separate research member will listen to audio recording per participant while comparing with the entered questions to check for consistency of participant’s questions. Any question phrased differently in the data file will be changed to the participant’s phrases in the audio recordings. We will enter the lay questions directly replacing those phrased or entered by the research team member. The cleaning will also involve removing duplicate identification (ID) numbers to participants, assigning new IDs to participants with missing IDs in the dataset. If the person listening to the audio doesn’t understand the language, then a language expert will be invited to interpret the audio to the research team. We will submit all local names for specific words or herbs during the interviews to a language translator. We also will take pictures of herbs being mentioned in local names by participants and submit them to the research team to confirm the English or botanical name. For the dataset with missing audios, we will contact the participant directly via phone calls to confirm the nature of the questions. Organise and code the responses. The student will keep a clean dataset as final on file, share it with the research team and research group, then create a new data file labelled “coded data set”, and will use this to code initial survey responses. The coding process will include removing participant’s initials, names, phone numbers, any blank responses, splitting questions that have multiple sub-questions, giving each question a unique identifier, while maintaining the link to the participant. The student will code 60% of the participants’ data while each of the two research members will code 20%. The student will review 50% of the data coded by research members while each research member will review 30% of the data coded by the student. Identify out-of-scope questions. The student with the research team members will continue to code the dataset. This will involve creating a column in the dataset for in-scope or out-of-scope with its reason and checking each question against the agreed PSP scope, as defined earlier in this protocol. The research team will hold a zoom meeting with the JLA adviser and the academic research group to check the exact interpretation of the scope. We will analyse out-of-scope questions separately from the in-scope questions and generate tables for review by academic research and steering group members. The research team will prepare frequently asked questions (FAQ) document for the questions of information and advice, which will be shared with antenatal care units, health facilities, district health offices, and the ministry of health. Sort into themes and summarise in-scope questions. The research team will sort out all in-scope questions into overall original themes, namely; pregnancy and its complications, labour and its complications, diagnosis, prevention, and treatment. The student will export the in-scope questions or data into NVivo 10 software, to generate emerging themes following the principles of the thematic content approach for analysis [30]. Another research member will peer-review the reliability of emerging themes and issues regularly; (for every 20 participants, will review 1 participant by manually generating emerging themes). They will swap a portion of their respective data and compare findings for consistency. Any discrepancies or issues arising from specific responses will be adjudicated by a member of the academic research group or JLA adviser and discussed by the steering group if necessary. The research team will share the list of emerging themes with the academic research group and steering group to review, confirm, and approve. The research team will code questions asked only once as single questions with the emerging theme. However, they will group similar in-scope questions, which are asked at least twice, to form an indicative question representing all these questions in terms of the language and context. Discuss and agree on questions with the steering group. The research team will present the list of indicative questions to the lay mothers’ group in a 3-h face to face meeting at a central place and check whether they agree with how the questions have been categorised and summarised. The research team will organise a steering group meeting, in which members will review, comment, and confirm themes, indicative in-scope questions, single in-scope questions, and out-of-scope questions. Evidence check for research questions. The student will check each indicative question against existing literature or systematic reviews through a rapid review of the literature. An independent librarian at Busitema University in Uganda will do a separate literature search using a predefined systematic criterion and the search results will be shared with the student to double-check the search results. Any discrepancies will be resolved by another search by the librarian at the University of Liverpool. We will apply the GRADE system for rating the quality of a body of evidence as a guideline wherever evidence is not clear [31]. The student will search for systematic reviews relating to maternal and newborn health research priorities, search for clinical guidelines for pregnancy, childbirth, and neonatal care in Uganda and related countries, search for articles on topics raised by the questions. The research team will perform the following for any answered question; Provide summary evidence against each question, including s as appropriate, Review all the questions with the steering group. Following the evidence review, the steering group will agree which questions are to be removed as already being answered. Where questions are partially answered by research, they will be amended to include the un-answered part of the question. The remaining indicative questions and any single questions as agreed by the steering group will form the final long list of unanswered questions by research. Number of unanswered research questions. The research team will group questions for maternal health alone, newborn health alone, and later combine maternal and newborn health to form three separate long lists of questions. A one-off face-to-face steering group meeting will be held to discuss the three long lists of questions and agree on the number of questions on each list to go forward for interim prioritisation. In this PSP, we will consider up to 70 questions for maternal health alone, 70 for newborn health alone, and 70 for both maternal and newborn health together. Previous PSPs have considered an average of 65 (range 40–114) research questions on the long list. The following criteria will be used to reduce the large list of indicative questions to the proposed number. The question based on a submission by utmost two participants will be prioritised lower than questions from several participants in the initial survey. The question based on submission from one socio-ecological model level or group will be prioritised lower than questions from more SEM levels. The removed questions will be checked to ensure that questions known to be coming from ‘seldom heard’ persons are retained. The research team will conduct face to face data collection largely through verbal interactions with each participant at each SEM level. The research team will arrange the three agreed longlist of questions separately in a better format for visualisation on the paper version or the mobile smartphone. The research team will administer the questions to individual participants in a chronological order starting with the longlist for both maternal and newborn health combined, followed by a long list for maternal health alone, and will end with the longlist for newborn health alone. There will be a resting period between the second and last long list. Each participant will read or be read the long list of questions in random order from the phone or the paper version. The research team member will then ask each participant to choose any 10 most important questions on each of the three-long list of questions separately and have the responses entered into the questionnaire, following the JLA approach. Based on the experience of the JLA adviser, asking people to rank their top 10 questions does not add much to the value of the data, hence they will only be asked to choose and not rank. There are examples of PSPs that have applied this ranking approach [11]. In the process, ‘we will simply ask each participant to choose her/his most important questions’, which will take approximately 90 min to complete. We will hold three steering group meetings to discuss and agree on an overall shortlist of 20–30 top questions from each longlist to be taken forward to the final priority setting workshops. This is planned to take 12 weeks. This will be a face-to-face group priority setting workshop using participatory mixed methods. The research team will hold three priority setting workshops on three separate dates with three separate groups of participants. The participants will have similar characteristics across the three groups. The first priority setting workshop will be for the combined maternal and newborn health priorities, while the second priority setting workshop will be for the maternal health questions alone, and the third priority setting workshop will be for the newborn health questions alone. Each priority setting workshop will occur in a central meeting place for all participants. We will follow the standard JLA approach. The process will encourage open discussion and involvement of all group members guided by an independent JLA chair and assisted by the research team and observed by the academic research group. The ranking exercises will be based on nominal group techniques [15]. All participants will be made aware of the purpose of the workshop at the beginning, to generate the top 10 research priorities representing the views of all those who participated. The workshop will begin with small-group debate and discussion to challenge and explore the final questions on the shortlist before the final plenary ranking session. The JLA adviser will facilitate this process and ensure transparency, accountability, and fairness and ensuring that the views of the vulnerable and marginalised population are considered. Participants will be expected to declare their interests in advance of this meeting. The present study commenced in January 2020. Participants are currently being recruited to the study. The outbreak of the COVID-19 pandemic and the lockdown restrictions in Uganda subsequently affected our timelines. Data collection for the initial survey will be completed once the COVID-19 lockdown restrictions are lifted, possibly in October 2020. Recruitment for the interim prioritisation will be finalised in May 2021 and priority setting workshops in August 2021. We will generate research topics, themes, or areas and questions and compare how people chose maternal health questions over newborn health questions in this setting. The original research questions for all the three long lists will be maintained non-technical to avoid missing context and value around these questions from the non-researchers. The Academic research group plans to translate the questions into technical focussed research questions with a specific structure, i.e. the Population, Intervention, Comparator, Outcome (PICO) format. For purposes of reporting, Table 3 summarises some of the levels and methods of public involvement planned in this PSP. Levels and methods of public involvement in maternal and Newborn health PSP in Uganda collaborate lead/ support PSP SG group Academic research group Meetings Teleconferences collaborate lead/ support Stakeholders workshop Pilot testing the data tool Comment on questions Launch initial survey consult Involve Lead/support Individual interviews Focus groups Lay mothers’ review SG reviews e-data capture (mobile) Paper based survey SG and lay mothers’ Meetings User controlled research Lead/support SG review Academic research group Meetings Phone calls, WhatsApp Emails Zoom User controlled research Lead/support SG review Academic research group Meetings Phone calls, WhatsApp Emails Zoom Meetings Phone calls, WhatsApp Emails Zoom consult Involve Lead/support Face to face survey Focus groups Lay mothers’ review SG reviews e-data capture (mobile) Paper based survey 11. Identify top 30 Analysis Face to face meeting Zoom 12. Final priority setting Identify top 10 Small groups Plenary sessions Dissemination Quality assurance User controlled Lead/support Dissemination Conferences, twitter stakeholders meeting Preparation of newspaper article The research team will track and report on PPI processes within this research including the experiences and impact of public involvement from the perspectives of the steering group members, partners, and participants. We will use an activity log to record PPI outcomes during any meeting or workshop (Additional file 2). Each meeting member will complete an evaluation form embedded in the impact log at the end of each meeting. Every participant in both the initial and interim prioritisation will have their satisfaction assessed about the process of involving them to identify and choose questions respectively. During the final priority setting workshop, participants will complete an evaluation form. Comparative analyses of the responses from participants will also be performed to determine the impact of different types of participants on proposed research questions and establish how the maternal research priorities are chosen over newborn health research questions. JLA will undertake anonymous evaluation surveys for the academic research group, the research team, the steering group members, and the final priority setting workshop participants. The research team will organise local dissemination meeting at each partner’s site and present the results to the staff. A list of top 10 questions for maternal and newborn health combined, maternal health alone, or newborn health alone will be printed on a paper for pinning in each partner’s premises. The partners will be encouraged to present results to their clients. The research team will organise radio and TV talk shows in Mbale and share results with the general public in the local languages. The protocol and results of the MNH-UG PSP will be disseminated through the PSP website, the Sanyu Africa Research Institute website, twitter handle, WhatsApp and Facebook, peer-reviewed publications, academic conferences, and through formal presentations to the stakeholders. The JLA will also capture and publicise the study protocol, key events, and results on its website. The PSP is financially supported by the EDCTP through a grant to the BabyGel cluster randomised trial (ref: RIA2017MC-2029-BabyGel). EDCTP has no part in the execution of the study and write-up. The James Lind Alliance provided partial contribution towards the JLA adviser’s time. The University of Liverpool offered a Ph.D. tuition waiver for the student while the Sanyu Africa Research Institute paid the student’s stipend during the project period. The budget for the PSP project alone is estimated at €28,000. All steering group members and priority setting workshop members will declare their interests at the start of the project and workshop respectively.

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

1. Mobile Clinics: Implementing mobile clinics that can travel to rural areas in Uganda to provide maternal health services. This would help overcome transportation barriers and ensure that women in remote areas have access to necessary care.

2. Telemedicine: Introducing telemedicine services that allow pregnant women to consult with healthcare professionals remotely. This would be particularly beneficial for women who are unable to travel to healthcare facilities due to distance or other constraints.

3. Community Health Workers: Training and deploying community health workers in rural areas to provide basic maternal health services, education, and support. These workers can act as a bridge between the community and formal healthcare system, improving access and awareness.

4. Health Education Programs: Developing and implementing health education programs that focus on maternal health in rural communities. These programs can raise awareness about the importance of prenatal care, safe delivery practices, and postnatal care, empowering women to make informed decisions about their health.

5. Partnerships with Traditional Birth Attendants: Collaborating with traditional birth attendants to improve access to skilled birth attendance and emergency obstetric care. This can involve training traditional birth attendants on safe delivery practices and establishing referral systems for complicated cases.

6. Mobile Applications: Creating mobile applications that provide information and resources on maternal health, including prenatal care guidelines, emergency contact numbers, and educational materials. These apps can be easily accessible to women with smartphones, even in remote areas.

7. Financial Support Programs: Implementing financial support programs that provide subsidies or vouchers for maternal health services, making them more affordable for women in low-income communities.

8. Improved Infrastructure: Investing in infrastructure improvements, such as building or upgrading healthcare facilities in rural areas, to ensure that women have access to quality maternal health services closer to their homes.

9. Community Engagement: Engaging local communities in the planning and implementation of maternal health programs to ensure that they are culturally appropriate and address the specific needs of the population.

10. Data Collection and Monitoring: Establishing robust data collection and monitoring systems to track maternal health indicators and identify areas for improvement. This can help inform evidence-based decision-making and resource allocation.

It’s important to note that the specific innovations chosen should be based on a thorough needs assessment and consultation with local stakeholders to ensure their relevance and effectiveness in the context of rural Uganda.
AI Innovations Description
The recommendation to improve access to maternal health is to establish a Maternal and Newborn Health Priority Setting Partnership (PSP) in rural Uganda. This partnership will involve collaboration between seldom heard groups of mothers, their families, and health workers to identify unanswered research questions for maternal and newborn health in villages and health facilities in rural Uganda. The objectives of the partnership are to identify locally responsive research questions, prioritize these questions with the public in Uganda, and support the case for locally responsive research in maternal and newborn health.

The PSP will follow the James Lind Alliance (JLA) Priority Setting Partnership methodology, which is a multi-step pragmatic method for research priority setting. The partnership will involve recruiting a steering group, a lay mothers’ group, and a partners’ group. The PSP will include participants from an illiterate, non-internet population in rural eastern Uganda, including local rural women, their families, health and social workers, and relevant local groups or organizations.

The PSP will take place in the districts of Mbale and Budaka in rural eastern Uganda. The research team will recruit participants from four health facilities and surrounding villages. The research team will conduct face-to-face initial and interim surveys to collect raw unanswered questions and prioritize them before the final prioritization workshops.

The outcomes of the PSP will be a list of top research priorities for maternal and newborn health in rural eastern Uganda. These priorities will be shared with relevant stakeholders, including the Ministry of Health, academic institutions, and funding bodies in Uganda. The research team also plans to implement the research questions as partial requirements for fulfillment of academic programs in public health, medicine, and midwifery.

The PSP is expected to be completed in August 2021, although the timeline may be affected by the COVID-19 pandemic and associated lockdown restrictions in Uganda. The results of the PSP will be disseminated through various channels, including academic publications, conferences, and local dissemination meetings.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations for innovations to improve access to maternal health:

1. Mobile Health (mHealth) Solutions: Develop mobile applications or text messaging services that provide pregnant women and new mothers with important health information, reminders for prenatal and postnatal care appointments, and access to telemedicine consultations.

2. Community Health Workers: Train and deploy community health workers in rural areas to provide education, support, and basic healthcare services to pregnant women and new mothers. These workers can help bridge the gap between healthcare facilities and remote communities.

3. Telemedicine: Implement telemedicine services to enable pregnant women and new mothers in remote areas to consult with healthcare professionals through video calls or phone consultations. This can help address the shortage of healthcare providers in rural areas.

4. Transportation Solutions: Improve transportation infrastructure and services in rural areas to ensure that pregnant women have access to timely and safe transportation to healthcare facilities for prenatal and postnatal care, as well as emergency obstetric care.

5. Maternal Health Education Programs: Develop and implement comprehensive maternal health education programs that target women, their families, and community members. These programs should focus on raising awareness about the importance of prenatal and postnatal care, nutrition, hygiene, and birth preparedness.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could be developed as follows:

1. Define the indicators: Identify key indicators to measure the impact of the recommendations, such as the number of pregnant women accessing prenatal care, the number of skilled birth attendants present during deliveries, and the number of postnatal care visits.

2. Collect baseline data: Gather data on the current status of maternal health access in the target area, including the number of healthcare facilities, the availability of transportation, and the utilization of maternal health services.

3. Develop a simulation model: Create a simulation model that incorporates the recommended innovations and their potential impact on the identified indicators. The model should consider factors such as population size, geographical distribution, and existing healthcare infrastructure.

4. Input data and run simulations: Input the baseline data into the simulation model and run multiple simulations to assess the potential impact of the recommendations. Adjust the parameters of the model, such as the coverage of mHealth services or the number of community health workers, to explore different scenarios.

5. Analyze results: Analyze the results of the simulations to determine the potential impact of the recommendations on improving access to maternal health. Compare the outcomes of different scenarios to identify the most effective combination of innovations.

6. Validate the model: Validate the simulation model by comparing the simulated results with real-world data, if available. This will help ensure the accuracy and reliability of the model.

7. Refine and iterate: Based on the results and validation, refine the simulation model and repeat the simulations to further explore the potential impact of the recommendations. Iterate this process until a satisfactory level of accuracy and confidence is achieved.

By following this methodology, stakeholders can gain insights into the potential impact of different innovations on improving access to maternal health and make informed decisions on which recommendations to prioritize for implementation.

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