Project Masihambisane: A cluster randomised controlled trial with peer mentors to improve outcomes for pregnant mothers living with HIV

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Study Justification:
– Pregnant women living with HIV face daily challenges in maintaining their own and their babies’ health and mental health.
– Standard Prevention of Maternal to Child Transmission (PMTCT) programs are not designed to address these challenges.
– The Masihambisane study aims to test the effectiveness of Peer Mentor support in addressing these challenges.
Highlights:
– The study is a cluster randomized controlled trial with 1200 pregnant women living with HIV.
– Women are randomly assigned to either the Masihambisane intervention program or standard care PMTCT.
– The intervention program includes small group sessions led by peer mentors, who are WLH themselves.
– Mobile phones are used for data collection, questionnaires, and participant contact.
– The study focuses on cumulative change across 15 indicators of maternal and infant health.
– The indicators include maternal knowledge about HIV self-management, ARV adherence, HIV testing of the baby, health visits, infant weight and development, mental health, social support, HIV testing among sexual partners, and condom use.
Recommendations:
– The study recommends the use of Peer Mentors to support pregnant women living with HIV in coping with daily challenges.
– It suggests that Peer Mentor support can improve maternal and infant health outcomes, HIV self-management, mental health, social support, and HIV testing and condom use.
Key Role Players:
– Global Center for Children and Families, University of California, Los Angeles (UCLA)
– Child, Youth, Family and Social Development program at the Human Sciences Research Council, South Africa (HSRC)
– Institutional Review Board of UCLA and Research Ethics Committee of HSRC
– Data Safety and Monitoring Board (DSMB)
– National, provincial, district, and municipal health authorities
– Community Advisory Board (CAB)
– Clinic staff and Peer Mentors
Cost Items for Planning Recommendations:
– Training and supervision of Peer Mentors
– Mobile phones and survey software
– Materials, manuals, and videos on PMTCT
– Tea and biscuits for participants
– Transportation costs for participants
– Data collection and management platform
– Servers for data storage and security
– Quarterly meetings with CAB and health authorities
– Quarterly training sessions for Peer Mentors
– Monitoring and quality control measures

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong, but there are some areas for improvement. The abstract provides a clear description of the study design, intervention, and outcomes. It also includes information on the sample size, enrollment criteria, and data collection methods. However, it would be helpful to include more specific details on the statistical analysis plan and potential limitations of the study. Additionally, providing information on the results and conclusions of the study would further strengthen the evidence.

Background: Pregnant women living with HIV (WLH) face daily challenges maintaining their own and their babies’ health and mental health. Standard Prevention of Maternal to Child Transmission (PMTCT) programs are not designed to address these challenges.Methods/Design: As part of a cluster randomized controlled trial, WLH are invited to attend four antenatal and four postnatal small group sessions led by a peer WLH (a Peer Mentor). The WLH and their babies are assessed during pregnancy and at one week, six months, and twelve months post-birth. Mobile phones are used to collect routine information, complete questionnaires and remain in contact with participants over time. Pregnant WLH (N = 1200) are randomly assigned by clinic (N = 8 clinics) to an intervention program, called Masihambisane (n = 4 clinics, n = 600 WLH) or a standard care PMTCT control condition (n = 4 clinics; n = 600 WLH).Discussion: Data collection with cellular phones are innovative and effective in low-resource settings. Standard PMTCT programs are not designed to address the daily challenges faced by WLH; Peer Mentors may be useful in supporting WLH to cope with these challenges.Trial registration: ClinicalTrials.gov registration # NCT00972699. © 2011 Rotheram-Borus et al; licensee BioMed Central Ltd.

Masihambisane is a cluster RCT to test the effectiveness of Peer Mentor support in addressing health, mental health, and stigma challenges faced by WLH. The challenges of chronic illnesses, mental health symptoms, infant feeding and treatment are confronted by WLH on a consistent, daily basis, therefore no single outcome can definitively validate the effectiveness of this Peer Mentor program. We focus on cumulative change across 15 indicators of maternal and infant health. The health-protective behaviors of WLH are documented over time and compared to the baseline rates. These indicators range in their uptake, for example, 92% of babies receive their vaccinations on time, however, infant HIV testing and receipt of results occurs less frequently. We hypothesize that WLH and their infants in the intervention clinics, compared to WLH who receive standard PMTCT care, will have: – higher maternal knowledge about HIV self-management; – better maternal ARV adherence antenatally and at the time of birth; – increased HIV testing of their baby at six weeks and receipt of test results; – adherence to regular health visits and TB testing; – infant weight of more than 2500 grams at birth with normal growth and development for 12 months; – greater mental health, social support, and ability to cope with HIV stigma; – higher rates of HIV testing among sexual partners; and – higher rates of condom use with partners of serodiscordant HIV status. In order to achieve statistical significance in the analyses, we need to recruit 1200 pregnant WLH (150 per clinic at 8 clinics) with 600 in the intervention and 600 in the standard-of-care control clinics. Enrollment criteria are: 18 years or older at the time of first assessment, less than 34 weeks pregnant at intake, HIV seropositive, and enrolled in the PMTCT programme at one of the eight study clinics. In addition, prospective participants are asked to indicate their intention to reside in the area for the duration of the study, and they must be able to give informed consent, as judged by the interviewer. Eight rural clinics in Kwa-Zulu-Natal were matched on information collected from clinic surveys and observations regarding client load, patient characteristics, range of services offered, and rural-urban setting. The UCLA team, without first-hand experience of the clinics, then randomized clinics to the intervention or the standard care condition. Standard care includes: dual therapy for PMTCT, referral to Highly Active Anti-Retroviral Therapy (HAART) for women with CD4 counts below 200 or WHO Stage 4 illness, infant PCR test results by six weeks of age, and co-trimoxazole for exposed infants starting at six weeks of age [36]. The intervention clinics will receive the standard care in addition to Peer Mentor support sessions. Peer Mentors were selected from the local communities, based on their HIV seropositive status and role as positive peer deviants. Peer Mentors were trained to deliver four antenatal and four postnatal small group sessions in the clinics to supplement the PMTCT program. An independent assessment team conducted in-person interviews with WLH during pregnancy, and within six weeks, six months and twelve months post-birth, evaluating each WLH and her baby’s health and well-being. The KwaZulu-Natal (KZN) province has an HIV prevalence of 15.8% for all people over 2 years of age, the highest prevalence of HIV in the country [3]. Clinics in the Masihambisane project are spread over three districts in KZN (see Figure ​Figure1).1). Antenatal clinic data from these districts indicates that in 2007, prevalence was 40.8%, 34.1% and 41.6% [37]. Nineteen clinics that did not have on-going interventions were considered for the study sample based on proximity to main research site, type of clinic (either a community health clinic or primary health care clinic), availability of antenatal and postnatal services at the clinic, and uptake of antenatal and postnatal services (with a minimum of 300 women per annum). Table ​Table11 lists the characteristics examined to establish the eight clinics most suitable for inclusion. Geographic location of Mashihambisane clinics. Characteristics evaluated prior to clinic selection. The study is a collaborative effort between the Global Center for Children and Families, University of California, Los Angeles (UCLA; M.J. Rotheram-Borus, Principal Investigator) and the Child, Youth, Family and Social Development programme at the Human Sciences Research Council, South Africa (HSRC; L. Richter, Principal Investigator). The Institutional Review Board of the University of California, Los Angeles (UCLA, G06-05-062) and the Research Ethics Committee of the Human Sciences Research Council in South Africa (HSRC, REC 4/07/03/07) have approved the study and oversee adherence to the study protocol over time. A six-member Data Safety and Monitoring Board (DSMB), consisting of local and international experts, monitors the implementation of the trial. National, provincial, district, and municipal health authorities approved the study and its protocol, and set the conditions of the standard care practice. Quarterly meetings are held with a Community Advisory Board (CAB) consisting of 25 local stakeholders who serve as liaison between research staff and the community, advising on study policies and keeping the community informed of progress. Regular feedback meetings are held with health authorities. 1. Clinic selection and matching criteria. Geographic maps, administrative data from the health district, and a month-long observational period in each clinic provided information necessary for selection of clinics for study inclusion. Clinics were identified on the following criteria: a) location – rural (n = 4) or urban (n = 4); b) clinic type – community (n = 2) or primary health care centre (n = 6); c) size of catchment area; d) monthly census of pregnant women; and e) resources such as space, staffing, and transport. 2. Piloting of the assessment and the intervention. All instruments and intervention sessions were piloted through focus groups and key informant interviews. These pilot activities involved officials from the KZN Department of Health, including Cluster Heads, District Managers, Medical Managers and Programme or Clinic Managers, Department of Health Clinic Service Providers, and clinic staff members. WLH also participated in pilot sessions of the planned intervention. 3. Programming and bench testing of mobile phones for collection of assessment interviews. Data is collected on mobile phones running a survey software package (Mobile Researcher; http://www.populi.net/mobileresearcher/). This platform allows the phone to be used to collect and upload numeric, voice and text data. Two models of phones were used in the pilot – the Nokia E61i (a business phone similar to a PDA) and the Nokia 2630 (an inexpensive candybar phone). Initial training covered practical aspects of phone navigation, checking for software updates, use of the software, and uploading data to the central server. Staff spent two weeks familiarising themselves with the baseline survey on the phone. During this time multiple tests were run to ensure that all data entered on the phone was correctly uploaded and that the response entered on the mobile corresponded to the value stored in the database. 4. Standardization of clinic procedures and training updates consistent with national guidelines. During clinic observations, processes for antenatal registration, routine HIV testing, post-test counselling, and antenatal care were identified. The team, health administrators, and clinic staff spent two months collaboratively standardizing and training clinic staff in these procedures. The re-training focused on ensuring that all personnel were equipped to deliver standardised and routine PMTCT antenatal and postnatal health care, as prescribed by current departmental policies and guidelines. Strategies to increase HIV Voluntary Counselling and Testing (VCT) service delivery and uptake were also implemented in all clinics. A protocol was written for each clinic to ensure that recruitment was standardized across clinics despite differences in procedures. The intake nurse in the antenatal clinic services introduces the Masihambisane research assistant to pregnant women in the waiting room, and the women are provided with a brief overview of the study and key PMTCT messages. HIV VCT is conducted during the first antenatal visit using an opt-out procedure. During counselling by a clinic nurse, all women, regardless of HIV status, are offered the opportunity to speak to Masihambisane staff. Masihambisane is branded as a program to support pregnant women, not specifically WLH. The Masihambisane staff member reinforces key PMTCT messages tailored to each woman’s HIV status. In intervention clinics, the staff member also offers all women, HIV-positive and HIV-negative, a referral to speak with a Peer Mentor for additional support regarding their pregnancy, health or HIV status. In the case of WLH, the Peer Mentor discloses her own serostatus, empathizes with the WLH and offers follow-up for enrollment into the research study. The WLH is given material about the study and the consent form to read carefully at home. At a second enrollment meeting, the research assistant reads aloud a script that describes the research study, probing for the WLH’s understanding of key concepts. Women are reassured that her decision to enroll will not affect services received at the clinic. With voluntary informed consent, a baseline interview is conducted using the mobile phone to collect and record data. In the intervention clinics, the WLH is then referred to the Peer Mentor for enrollment into the small group support programme. The Peer Mentors work full-time in the intervention clinics and are integrated into the Department of Health PMTCT programme at each site. WLH are invited to attend a series of four antenatal and four postnatal sessions, scheduled to coincide with their routine antenatal and well-baby clinic visits. Sessions last 60 to 90 minutes, and are attended by four to ten WLH who meet to discuss, roleplay, share, and practice strategies to address issues critical to effective PMTCT. Each session proceeds in a similar sequence: WLH arrive, sing and pray together, and share successes and joys from their week. The Peer Mentor shares her triumphs and challenges as a WLH and acknowledges the importance of the support group for her. A topic is introduced for the day’s meeting and a brief demonstration of the content message is presented, then the group brainstorms the types of challenges the WLH will encounter if she tries to implement this knowledge in her life. Finally, goals are set for the upcoming week and a song and a prayer end the meeting. Each of the following issues is covered by the intervention: 1) Living Positively. Using a jar with different coloured jelly beans, the Peer Mentor shows that all families in KwaZulu-Natal are affected by HIV and the WLH is not alone, in particular she has support in the group leader and group members. WLH are encouraged to attend all clinic appointments. Women are provided with referral letters to the couple to encourage them to get tested together for STIs. Women discuss to whom they want to disclose their serostatus and roleplay the process of disclosure and asking for emotional support. 2) Keeping Myself and My Baby Healthy. The Peer Mentor helps WLH understand why they must avoid smoking and drinking, eat healthily, take vitamins and medicine as prescribed in antenatal care, get regular exercise, seek and maintain social support, and do things they enjoy. A realistic black baby with Fetal Alcohol Syndrome is presented and the characteristics and life-long consequences of alcohol on babies are discussed. A raw egg is broken in a cup of alcohol and women watch as the egg poaches at room temperature to illustrate adverse effects of alcohol on brain development in utero. 3) Being Prepared. The PM and WLH discuss the importance of taking medicines, keeping clinic appointments, registering her child to receive the child support grant (models provided and strategies for problem solving challenges to obtaining ID documentation are reviewed), and keeping track of health records. Women are provided a card to give their delivery nurse that says, “I am HIV+, please make sure that I get ART” and women discuss the importance of disclosing status. Additionally, the Peer Mentor demonstrates ART wrapping and appropriate administration method. 4) Choosing an Exclusive Feeding Method. WLH are urged to use only one feeding method exclusively for six months, formula feeding is discouraged unless the WLH has clean water on home premises, a toilet, and enough money to buy the product on an ongoing basis. However, clinics do distribute milk powder to all WLH at childbirth. The challenges of using only one feeding method for six months are brainstormed: WLH identify the different types of concerns, such as too little food, ritualistic healing substances, advice from different persons (partner, mother-in-law, neighbors), getting support for child care, and building a strong bond. 5) Living a Long Life Together: The steps in obtaining a child support grant are outlined, examples of concrete ways to seek an identity book are provided, the Road to Health card is shown with dates for baby immunizations, healthy meals are presented, pictures of WLH prior to and following ARV (Lazarus effect) are shared, the schedule for getting regular maternal health checkups, including TB tests are outlined, the importance of the six-week HIV test for the baby and returning for results are emphasised, and strategies are reviewed to avoid infecting a partner with HIV. 7) Being Partners and Parents. This session stresses getting your partner tested, deciding whether to have another baby, using condoms, dealing with a partner’s alcohol use and any multiple partnerships he might have, and finding support for domestic violence. 8) Enjoying Life. PM and WLH discuss the importance of taking time for oneself, engaging in pleasant activities for oneself and the baby, maintaining close friendships and other relationships, and asking for and accepting help from others. Three tools are used in all intervention sessions. To increase awareness and skills for emotional regulation, WLH are taught to use Feeling Cups to calibrate their feelings. A clear glass is filled with different levels of water, depending on their degree of uncomfortable (full) feelings. Tokens are exchanged between members. These are small chips that indicate positive feelings towards one or more group members. Finally, WLH are provided with an empty jar and beans to count the number of times they adhere to their goals. We have developed a variety of materials, manuals, and videos on PMTCT. Workbooks for pregnant women were adapted for HIV, alcohol and malnutrition content from existing evidence-based interventions [8]. All materials are in Zulu, after being translated and back-translated into English to ensure their accuracy and appropriateness. The colours and images were selected by the intervention team, the Peer Mentors, and the Community Advisory Board. In designing these learning aids, we followed the process for developing materials in Tanzania [38] where “job aids” were developed that are culturally tailored, easy to use, and feasible to distribute. All materials were used in the pilot interventions and we debriefed pregnant WLH, nurses in health clinics, and supervising Peer Mentors in development of the materials to ensure cultural appropriateness. No incentive is given for participating in the intervention sessions, but participants receive tea and biscuits on arrival, and R30 (about $3.50) towards their transportation costs. Several sessions are held per day at the clinic and are rotated, to enable women to attend any session on the same day as their routine health care appointments. Attendance data is collected at all sessions. Quality control is managed at three levels: 1) within the clinic by the site coordinator; 2) across clinics by the centralized Intervention Coordinator; and 3) monthly and quarterly by international and domestic intervention specialists. A checklist is completed by the Intervention Coordinator when observing Peer Mentors’ groups and provided during routine supervision to Peer Mentors. Four types of data are consistently monitored: 1. Clinic data to ensure matching of intervention and standard care clinics. Masihambisane staff collect aggregated clinic level data for all study clinics: total patients, women attending antenatal care, HIV tests, results received, and participants enrolled in the study. This allows monitoring of enrollment, attrition, and those receiving PMTCT. Figure ​Figure22 shows the flow of participants through the data collection process from entry at the clinic, through the consent process, session attendance and post birth assessment. Participant flow through RCT. 2. Medical record reviews. Masihambisane staff collect and review the medical records of each participant and extract routine health data including: antenatal weight and height, blood pressure, HIV test results, CD4 count, rhesus factor, syphilis and other sexually transmitted infection test results, haemoglobin/anaemia, tuberculosis, preventative medications used such as AZT and NVP, date of delivery, baby weight and length, birth complications, vitamins dispensed, mother’s TB and HIV test results, PCR test results, and immunizations. 3. In-person interview assessments. A team of two interviewers is placed at each clinic on a full-time basis to interview WLH after their first antenatal visit and six weeks, six months, and twelve months post-birth. All assessments are confidential, and are administered by a trained research assistant, supported by a computerized mobile phone interview protocol. Mobile phones are less expensive than laptops or PDAs, less likely to be stolen, more user-friendly for research assistants and Peer Mentors, and easily provide management information on the duration and location of assessments, enabling data collection with integrity. The program improves data quality by performing simple logic and range validation as data is entered. Skip patterns are also automated, and sections of the survey can be automatically repeated; for example, to cover the same questions about multiple children or partners. Most important, the phones retain all data when no signal is available and automatically upload data when in range of a signal. Uploads occur approximately every 60 seconds, when network coverage permits. The application is pre-configured with identification information, preventing data submission by unauthorised users. In addition, a compromised handset can be blocked at any time to prevent both data uploads and downloads. Secure Sockets Layering (SSL) is used to ensure that all data transferred between the device and the server is encrypted. Uploaded data is available for review, management and export via the web-based Masihambisane data platform. Only senior investigators are able to access the data platform. The servers hosting the data are located in Johannesburg, South Africa, and offer full and redundant data protection and security. Each of the assessments take between 60 and 90 minutes to complete, and cover family background, health, sexual partnerships and behaviours, disclosure, knowledge about HIV issues, daily routines, alcohol and drug use, general knowledge about child care and infant feeding plans, as well as all process and outcome data. 4. Quality of the intervention delivery. All intervention facilitators are trained for two months prior to beginning the project. The training includes review of the intervention manual, provision of prompts and materials to support all session materials, and practice role plays with WLH. Supervision is conducted by supervisors who rotate to each site every two weeks to observe and provide feedback, and supervise weekly group sessions. Senior collaborators provide training on a quarterly basis and supervisors give support to Peer Mentors to help them cope with their own feelings about the difficult situations in women’s lives. All sessions are conducted by co-leaders to ensure that all procedures are followed as outlined in the manual. WLH are assessed at six days, six months, and twelve months post-birth. Outcomes are compared to health care data routinely collected for mother and child. The primary outcome is a composite score calculated as the sum of indices for the presence (1) or absence (0) of maternal and child health and well-being. Indices encompass five domains. 1) Child health status includes birth weight and length being within one standard deviation of World Health Organization (WHO) standards, normal development according to WHO norms for motor milestones, absence of FAS symptoms, and positive parenting as assessed by the Parenting Stress Index short form [39] and a bonding questionnaire [40]. 2) Healthcare and health monitoring include the number of antenatal, postnatal, and HIV-related clinic visits. Monitoring includes understanding CD4 count and adherence to all prescribed anti-retrovirals. 3) HIV transmission-related behaviors include disclosure of HIV test results to partners, requesting partners to test, consistent use of condoms, use of single feeding method until six months, baby testing at six weeks, baby prescribed and administered antibiotics at six weeks, maternal AZT during pregnancy, infant NVP at birth and AZT after birth, and disclosure of baby’s status to partner or family. 4) Mental health includes the Edinburgh Postnatal Depression Scale [40] and the General Health Questionnaire. 5) Social support includes an adapted scale from Barrera [41] assessing instrumental, emotional, and childrearing support as well as family, neighbour, and community support for healthy acts. The indices are monitored throughout the intervention and at the final assessment. Intervention effectiveness is assessed by comparing the composite outcome over 12 months between the intervention and standard-of-care control conditions. These composite scores will be compared using multilevel models, i.e., hierarchical models and random effect models, which account for clustering of repeated assessments within individuals and clustering of individuals within clinics [42]. Multilevel models can be applied to normally distributed and non-normally distributed outcomes, we will choose the most appropriate model based on the data. If data transformations sufficiently normalize the composite outcome, e.g., a logarithmic transformation to reduce skewness, we will fit a linear model. If a normal assumption is not appropriate, we will categorize the data and use a longitudinal logistic regression for binary responses [43] and longitudinal ordinal logistic regression to look for shifts in ordinal response levels between the intervention conditions [44]. In all analyses, clustering within clinic will be taken into account, and multiple imputation methods will be used for missing individual outcome scores [45,46]. While the primary outcome composite score will provide a summary of the overall effectiveness of the intervention program, we will also examine each outcome component for a more detailed interpretation. This will be done using longitudinal logistic regression for binary data, to determine whether, and in what direction, the intervention is associated with changes in each component. Finally, dose-response analysis will be conducted to test for relationships between the number of intervention sessions attended, as well as time of recruitment, and the composite score. The initial patterns of the outcome measures will be examined through descriptive summaries. If necessary, transformations will be conducted to approximate normality, homogeneous variance and linearity in the model.

One innovation in this project is the use of mobile phones to collect routine information, complete questionnaires, and remain in contact with participants over time. This allows for efficient data collection in low-resource settings.

Another innovation is the use of peer mentors to provide support to pregnant women living with HIV. These peer mentors are trained to deliver small group sessions that address the challenges faced by WLH, such as maintaining their own and their babies’ health and mental health. The peer mentors offer guidance, empathy, and support to help WLH cope with these challenges.

Additionally, the project focuses on cumulative change across 15 indicators of maternal and infant health. These indicators include maternal knowledge about HIV self-management, maternal ARV adherence, HIV testing of the baby, adherence to health visits and TB testing, infant weight and growth, mental health and social support, HIV testing among sexual partners, and condom use with partners of serodiscordant HIV status. This comprehensive approach aims to improve multiple aspects of maternal and infant health.

Overall, these innovations aim to improve access to maternal health by providing support, education, and monitoring to pregnant women living with HIV.
AI Innovations Description
The recommendation to improve access to maternal health is the implementation of Project Masihambisane. This project is a cluster randomized controlled trial (RCT) that aims to improve outcomes for pregnant mothers living with HIV. The project utilizes peer mentors to provide support and address the challenges faced by pregnant women living with HIV.

The intervention involves inviting pregnant women living with HIV to attend small group sessions led by a peer mentor. These sessions take place during the antenatal and postnatal periods and cover various topics related to maternal and infant health. The peer mentors are trained to deliver these sessions and provide additional support to the women.

Mobile phones are used to collect routine information, complete questionnaires, and remain in contact with the participants over time. This innovative approach allows for efficient data collection in low-resource settings.

The project aims to achieve several outcomes, including higher maternal knowledge about HIV self-management, better adherence to antiretroviral therapy, increased HIV testing for infants, adherence to regular health visits, normal growth and development for infants, improved mental health and social support, higher rates of HIV testing among sexual partners, and increased condom use with partners of serodiscordant HIV status.

To ensure statistical significance in the analyses, the project aims to recruit 1200 pregnant women living with HIV, with 600 in the intervention group and 600 in the standard care group. The participants are randomly assigned to either the intervention program or the standard care program.

The project takes place in eight rural clinics in Kwa-Zulu Natal, South Africa, an area with a high prevalence of HIV. The project is a collaborative effort between the Global Center for Children and Families at the University of California, Los Angeles (UCLA) and the Human Sciences Research Council in South Africa (HSRC).

The project has been approved by the Institutional Review Board of UCLA and the Research Ethics Committee of HSRC. It is also monitored by a Data Safety and Monitoring Board and receives support from a Community Advisory Board.

Overall, Project Masihambisane aims to improve access to maternal health for pregnant women living with HIV through the use of peer mentors and innovative data collection methods.
AI Innovations Methodology
Based on the provided information, the methodology to simulate the impact of recommendations on improving access to maternal health can be outlined as follows:

1. Identify the recommendations: Review the information provided and identify the specific recommendations or interventions that aim to improve access to maternal health. In this case, the recommendation is the implementation of the Masihambisane program, which involves peer mentor support for pregnant women living with HIV.

2. Define the simulation model: Develop a simulation model that represents the current state of access to maternal health and the potential impact of the recommendations. The model should include relevant factors such as the number of pregnant women, healthcare facilities, availability of resources, and existing barriers to access.

3. Collect baseline data: Gather data on the current state of access to maternal health, including indicators such as the number of pregnant women receiving antenatal care, HIV testing rates, adherence to medication, and other relevant metrics. This data will serve as the baseline for comparison.

4. Incorporate the recommendations: Integrate the recommendations into the simulation model. This may involve adjusting parameters such as the number of peer mentors, the frequency of support sessions, and the availability of resources for implementation.

5. Simulate the impact: Run the simulation model with the incorporated recommendations to simulate the potential impact on improving access to maternal health. The model should generate outputs that reflect changes in key indicators, such as increased HIV testing rates, improved adherence to medication, and better maternal and infant health outcomes.

6. Analyze the results: Analyze the simulation results to assess the effectiveness of the recommendations in improving access to maternal health. Compare the simulated outcomes with the baseline data to determine the extent of improvement and identify any potential challenges or limitations.

7. Refine and iterate: Based on the analysis of the simulation results, refine the simulation model and recommendations if necessary. Iterate the simulation process to further explore different scenarios or variations of the recommendations to optimize the impact on improving access to maternal health.

8. Communicate findings: Present the findings of the simulation study, including the potential impact of the recommendations on improving access to maternal health. Clearly communicate the results, limitations, and implications to relevant stakeholders, such as healthcare providers, policymakers, and community organizations, to inform decision-making and potential implementation of the recommendations.

It is important to note that the methodology outlined above is a general approach to simulate the impact of recommendations on improving access to maternal health. The specific details and parameters of the simulation model may vary depending on the context and available data.

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