The effect of the community midwifery model on maternal and newborn health service utilization and outcomes in Busia County of Kenya: a quasi-experimental study

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Study Justification:
– The study aimed to evaluate the effect of an enhanced community midwifery model on skilled attendance during pregnancy/childbirth and maternal and perinatal outcomes in Busia County, Kenya.
– The study was conducted in response to the high burden of maternal and perinatal mortality in hard-to-reach areas, where women are least likely to receive healthcare.
– The study was conducted against the backdrop of protracted healthcare workers’ strikes in rural Kenya, which further limited access to healthcare services.
Study Highlights:
– The study used a quasi-experimental design, comparing data from three time periods: a doctors’ strike period, a period of normalcy, and a nurses/midwives’ strike period.
– The study found that the monthly average number of clients obtaining services from community midwives (CMs) significantly increased during the nurses/midwives’ strike period, while the average number of clients obtaining services from health facilities significantly declined.
– There was a significant increase in the utilization of first antenatal care (ANC), fourth ANC, skilled birth, and postnatal care services during the nurses/midwives’ strike period.
– The study also found a non-significant decline in macerated stillbirths and neonatal deaths during the nurses/midwives’ strike period.
Recommendations for Lay Reader and Policy Maker:
– The findings highlight the importance of integrating community-level health service providers, such as CMs and health volunteers, into the primary healthcare system to complement service delivery in low-resource settings.
– The study recommends the continued support and training of CMs in emergency obstetrics and newborn care to enhance their skills in providing basic signal functions.
– Policy makers should consider the inclusion of CMs in the healthcare workforce and ensure their integration into the existing healthcare system to improve access to skilled attendance during pregnancy and childbirth.
Key Role Players:
– Community midwives (CMs)
– Community health volunteers (CHVs)
– Birth companions (BCs)
– Community health extension workers (CHEWs)
– Local committees
– Facility staff
– County teams
– Sub-county health management teams
– Sub-county nursing officer
– Sub-county reproductive health coordinator
– Sub-county community strategy focal person
Cost Items for Planning Recommendations:
– Training in emergency obstetrics and newborn care (EmONC) for CMs
– Logistics support for CMs to provide services (e.g., sterilizing equipment, pharmaceuticals)
– Support supervision and mentorship on quality service delivery
– Reimbursement for BCs for appropriate referrals
– Minimal user fee for CM services (with flexibility for those unable to pay)
– Non-monetary items or gifts in kind as payment for CM services
– Awareness creation and demand generation activities by CHVs
– Support for data capture and reporting tools
– Monthly review meetings and support supervision by sub-county health teams

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.

Background: Poor women in hard-to-reach areas are least likely to receive healthcare and thus carry the burden of maternal and perinatal mortality from complications of childbirth. This study evaluated the effect of an enhanced community midwifery model on skilled attendance during pregnancy/childbirth as well as on maternal and perinatal outcomes against the backdrop of protracted healthcare workers’ strikes in rural Kenya. Methods: The study used a quasi-experimental (one-group pretest-posttest) design. The study spanned three time periods: December 2016-February 2017 when doctors were on strike (P1), March-May 2017 when no healthcare providers were on strike (P2), and June-October 2017 when nurses/midwives were on strike (P3), which was also the period when the project enhanced the capacity of community midwives (CMs) to provide services at the community level. Analysis entailed comparison of frequencies/means of maternal and newborn health service utilization data across the three periods. Results: The monthly average number of clients obtaining services from CMs across the three time periods was: first antenatal care (ANC) (P1-1.8, P2-2.3, P3-9.9), fourth ANC (P1-1.4, P2-1.0, P3-7.1), skilled birth (P1-1.5, P2-1.7, P3-13.1) and the differences in means were statistically significant (p < 0.05). Over the period, the monthly average number of clients obtaining services from health facilities was: first ANC (P1-55.7, P2-70.8, P3-4.0), fourth ANC (P1-29.6, P2-38.1, P3-1.2) and skilled birth (P1-63.1, P2-87.4, P3-5.6), p 0.05). There was, however, a statistically significant increase in the average number of clients obtaining services from CMs in P3 accompanied by a statistically significant decline in the average number of clients obtaining services from health facilities (p < 0.05). First ANC increased by 68%, fourth ANC by 75%, skilled births by 68%, and postnatal care by 33% in P3 (p < 0.0001). There was a non-significant decline in macerated stillbirths and neonatal deaths in P3. Conclusions: The findings underscore the importance of integrating community-level health service providers (CMs and health volunteers) into the primary health care system to complement service delivery according to their level of expertise, especially in low-resource settings.

Busia County has seven sub-counties and is predominantly a rural setting. The proportion of births in the county attended to by skilled health personnel is 59% (lower than the national average of 62%) [31]. In addition, the county has traditional birth attendants who provided home antenatal and delivery services. During the project, these were reoriented to become birth companions (BCs) and primarily provided support in health education and referral of pregnant women to the health facilities for skilled antenatal, birth and postnatal care. The project supported four rural hard-to-reach sub-counties with poor maternal and newborn health indicators: Teso North, Teso South, Nambale and Samia. In this study, ‘hard-to-reach’ refers to populations who have limited regular contact with skilled pregnancy and childbirth services including people living in areas ‘too far’ from health services. ‘Too far’ not only refers to the physical distance but also limited logistics and human resource capacity [32]. The Community Midwifery Model (CMM) in Kenya uses skilled out of work or retired licensed healthcare professionals who are resident within a given community and seeks to contribute towards the achievement of SDG 3 [28] by addressing the three delays that commonly contribute to maternal and perinatal mortality [33]. The three delays are (1) delay in deciding to seek appropriate care, (2) delay in reaching an appropriate health care facility and (3) delay in receiving adequate emergency care at the facility [34]. The primary role of community midwives is provision of a continuum of care during normal pregnancy, childbirth, postpartum period, and in counselling for and providing family planning services as well as newborn care and referral. To achieve this, they link with community health volunteers (CHVs), BCs, community health extension workers (CHEWs), local committees, facility staff and county teams to promote safe motherhood in the community. All the community midwives included in this study met the requirements for providing services as stipulated in the national guidelines: were retired health professionals (nurse/midwives) with midwifery skills and registered with the national regulator Nursing Council of Kenya; had valid practicing licenses (evidence of retention on a professional register with the Nursing Council of Kenya) and were residents in the communities they served [28]. Their activities were supervised by the respective sub-county health management teams. Save the Children, in collaboration with the Busia County Department of Health, facilitated the work of the community midwives by supporting their training in emergency obstetrics and newborn care (EmONC) to enhance their skills in management of basic EmONC signal functions as well as providing the necessary logistics to enable them provide services (Table 1). The seven basic EmONC signal functions are: (1) administration of parenteral antibiotics, (2) administration of uterotonic drugs, (3) administration of parenteral anticonvulsants for pre-eclampsia and eclampsia (magnesium sulphate), (4) manual removal of retained placenta, (5) removal of retained products of conception (e.g., manual vacuum aspiration), (6) assisted vaginal delivery (vacuum extraction) and (7) neonatal resuscitation (with bag and mask) [35]. The health facilities to which the community midwives were linked provided them with pharmaceuticals (Oxytocin for prevention of postpartum hemorrhage) and non-pharmaceuticals supplies – gloves, syringes and needles, cotton wool and gauze. The project team and the respective sub-county health management teams (sub-county nursing officer, sub-county reproductive health coordinator and sub-county community strategy focal person) provided structured monthly and/or appropriate support supervision and mentorship on quality service delivery. Support package provided to community midwives aWhere sterilizing equipment were not available, link health facilities supported this function as appropriate The community midwives provided a range of antenatal, delivery and postnatal care services as recommended by the national guidelines in provision of community midwifery [28] and health services [36] (see Table 2). Importantly, all the childbirth services were conducted at the community midwife’s clinic and in exceptional cases, for instance, insecurity (especially at night), long distances and requests from clients, some were conducted at the community midwives’ homes, which was consistent with findings from an evaluation of the model in the country [37]. Services offered by the community midwives aHIV counselling available but testing not available in all the clinics bEmONC signal functions provided include administration of parenteral oxytocics, administration of parenteral antibiotics, administration of parenteral anticonvulsants, manual removal of placenta and newborn resuscitation Community midwives admitted clients for childbirth services. The period of stay at the CM varied from 1 to 3 days depending on the condition of the mother. Cases that required further review and care were referred to the nearby private facility to prevent obstetric complications. There was a minimal user fee for services provided by the CMs. However, the CMs did not deny women services for lack of payment in line with the universal health coverage policies. Non-monetary items and/or gifts in kind were also a form of payment that was acknowledged by the CMs for the services rendered to the community. In a few occasions however, the services were provided for free depending on the client’s socio – economic status. The project supported a reimbursement of KSh. 100 ($1) for BCs for every appropriate referral for a pregnancy, childbirth or postpartum condition with danger signs to the CMs. The danger signs for referral included maternal – vaginal bleeding, reduced or lack of movements of the unborn baby, convulsions, pale, fever, severe headache and severe abdominal pain; neonatal – refusal or poor breastfeeding, infection/fever, convulsions and difficulty breathing. The study used a quasi-experimental (one-group pre- and post-test) design. The aim was to determine the effect of the intervention (an enhanced community midwifery model) on maternal and newborn health service utilization and outcomes among hard-to-reach communities against the backdrop of the protracted healthcare workers’ strikes. The intervention was implemented over a period of 11 months from December 2016 to October 2017. In the first 6-month period, midwifery services were less affected in the public health sector health facilities (during a doctors’ strike in the first 3 months followed by a 3-month return to normalcy) compared to the last 5-month period (when the enhanced community midwifery model was strengthened due to nurses/midwives’ industrial action – see separate section describing intervention in detail below). To determine the effect of the enhanced community midwifery model, we aggregated periods 1 and 2 (first 6 months) into pre-intervention and considered period 3 (last 5 months) as post-intervention period. The study involved community midwives linked to six health facilities in Busia County. The health facilities were two comprehensive EmONC (Teso North sub-county hospital and Alupe sub-county hospital) and four basic EmONC (Sio Port sub-county hospital, Nambale sub-county hospital, Amukura health centre and Moding health centre) (Fig. 1). Map showing health facilities to which community midwives are linked in Busia County. *(Authors’ own; generated using QGIS software) The project introduced the community midwifery model in December 2016. During its implementation, there were two periods of industrial action by healthcare workers in the public sector over disagreements regarding terms of service: 3-month doctors’ strike between December 2016 – February 2017 followed by a 3-month period of return to normal services between March – May 2017 before the second 5-month nurses/midwives’ strike between June – October 2017. The project implemented an enhanced community midwifery model in the four sub-counties to improve skilled attendance during pregnancy and childbirth during the nurses/midwives’ strike. A total of 10 community midwives were purposively identified across the four sub-counties included in the project and enrolled in the interventions. They were then linked to the nearby health facilities with high volumes of clients in their respective sub-counties. The community midwives were distributed as follows: one in Samia sub-county – linked to Sio Port Sub-county Hospital; three in Nambale sub-county – all linked to Nambale Sub-county Hospital; three in Teso North sub-county – two linked to Teso North Sub-county Hospital and one linked to Moding Health Centre; and three in Teso South sub-county – two linked to Amukura Health Centre and one linked to Alupe Sub-county Hospital. During the doctors’ strike, maternal and newborn care service delivery (ANC, childbirth and postnatal care) were less affected in health facilities. During the nurses/midwives’ strike, maternal and newborn care services were severely affected across the country. During this time, the project supported a constellation of activities to create awareness and demand for community midwifery services. The activities included community sensitization by community health volunteers (CHVs) on danger signs in pregnancy and importance of seeking skilled antenatal, childbirth and postnatal care; linkage of the CMs with the CHVs; reorientation of traditional birth attendants (TBAs) to BCs – initiated during the strike by doctors; and linkage of the CMs and the CHVs with the reoriented BCs. Community midwives worked closely with CHEWs and CHVs in the provision of various health services at the community level; collection and reporting of monthly service utilization data as well as participation in the sub-county quarterly maternal and perinatal deaths surveillance and response (MPDSR) review meetings. In addition, the project team and the sub-county reproductive health and community health teams conducted support supervision and mentorship of CMs on emergency obstetrics and newborn care skills. The CHVs and BCs encouraged and referred pregnant women in their catchment areas to the nearby CM for antenatal, childbirth and postnatal care (Fig. 2). Chronology of intervention activities The project used the Kenya Ministry of Health (MOH) reporting tools that health facilities, community midwives and community health volunteers use to capture information on service utilization. Data on the numbers of pregnant women seeking antenatal and birth services from facilities and community midwives were collected using the monthly MOH 711 summary report (Integrated Summary Report: Reproductive & Child Health, Medical and Rehabilitative Services). This is a secondary reporting tool with all the ANC and maternity service utilization data summarized from the primary daily activity reporting registers and is open – access and publicly available on the DHIS2 – the national MOH reporting system for use by health facilities, sub-counties and counties. The sub-county reproductive health and the records and information management teams verified the data in the primary MOH tools: ANC register (MOH 405), maternity register (MOH 333) and postpartum care register (MOH 406). First and fourth ANC visits were used to determine access and utilization of focused ANC services respectively as recommended [38]. The maternity register captured data on skilled births while the postnatal register captured information on utilization of postnatal care services for the mothers who had either received delivery services at the CMs and/or had unskilled home births and sought skilled post-delivery care or immunization. Services provided by CHVs (referrals for ANC and skilled birth) were captured on MOH 514 form (Community Health Service Delivery Logbook) while CHEWs used MOH 515 form (Community Health Extension Worker Summary) to summarize information from MOH 514 forms. Community health extension workers and facility-based health care providers verified data from MOH 514 during routine monthly review meetings with CHVs before being uploaded on to MOH 515 in DHIS2. Data capture for the reporting month in the DHIS2 is completed by the 15th day of the subsequent month. Final data for this study were accessed from the DHIS2 on 6th April 2020. We analysed service utilization data for first and fourth ANC, birth and postpartum care provided by facilities and CMs for the periods of interest. A skilled birth was defined as a birth attended to by skilled health personnel – including a doctor, nurse or midwife – who is educated and trained to proficiency in the skills needed to manage normal (uncomplicated) pregnancies, childbirth and the immediate postnatal period, and in the identification, management and referral of complications in women and newborn babies [10, 39]. Postnatal care was defined as care to a woman 2–3 days post-delivery by a skilled health personnel – either in the health facility or by a community midwife. First author extracted raw data from the DHIS2, entered in Microsoft Office Excel 2013, cleaned and exported to STATA version 12 for analysis. The first author extracted the data from DHIS 2 in Excel format, cleaned and exported it to STATA version 12 for analysis. Service utilization data were classified into three periods or groups. The three periods of analysis included the three-month strike by doctors between December 2016 and February 2017 (Period 1), the three-month period of normalcy following the end of the doctors’ strike (Period 2 occurring between March and May 2017), and the five-month strike by nurses/midwives between June and October 2017 (Period 3). We computed the performance mean scores of outcomes of interest (1st ANC attendance, 4th ANC attendance, skilled births and postnatal care) for the three periods. We conducted one-way analysis of variance (ANOVA) to test for significant differences in the mean scores of outcomes of interest between time periods [40]. We also conducted Kruskal-Wallis test for distributions with small numbers [41]. We further conducted Tukey post hoc tests to determine which time periods were significantly different from each other in terms of maternal and newborn health service utilization and outcomes. The results are reported as effect sizes with 95% confidence intervals. To determine the effect of the community midwifery model, we aggregated periods 1 and 2 into pre-intervention and considered period 3 as post-intervention period. We calculated indicators of performance by community midwives by comparing the number of antenatal care clients and deliveries conducted by this cadre as a fraction of the total number of antenatal care clients and deliveries conducted by health facilities and community midwives. We conducted two-groups test of proportions. Estimates with p-values less than 0.05 (p < 0.05) were considered statistically significant.

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The study evaluated the effect of an enhanced community midwifery model on skilled attendance during pregnancy/childbirth and maternal and perinatal outcomes in Busia County, Kenya. The community midwives provided a range of antenatal, delivery, and postnatal care services at the community level. The study found that the monthly average number of clients obtaining services from community midwives significantly increased during the period of the intervention. There was also a significant decline in the average number of clients obtaining services from health facilities during this period. The study concluded that integrating community-level health service providers, such as community midwives, into the primary healthcare system can improve access to maternal health services in low-resource settings.
AI Innovations Description
The recommendation to improve access to maternal health based on the study is the implementation of an enhanced community midwifery model. This model involves utilizing skilled out-of-work or retired licensed healthcare professionals who are residents within the community to provide a continuum of care during normal pregnancy, childbirth, postpartum period, and in counseling for and providing family planning services as well as newborn care and referral.

The community midwives are linked with community health volunteers, birth companions, community health extension workers, local committees, facility staff, and county teams to promote safe motherhood in the community. They are trained in emergency obstetrics and newborn care to enhance their skills in managing basic signal functions. The community midwives provide a range of antenatal, delivery, and postnatal care services at their clinics or, in exceptional cases, at their homes.

During the implementation of the enhanced community midwifery model, there was a significant increase in the number of clients obtaining services from community midwives, particularly during the period of nurses/midwives’ strike. There was also a decline in the number of clients obtaining services from health facilities during this period. The model showed positive effects on skilled attendance during pregnancy and childbirth, as well as on maternal and perinatal outcomes.

The community midwifery model can be a valuable innovation to improve access to maternal health, especially in hard-to-reach areas with limited regular contact with skilled pregnancy and childbirth services. By integrating community-level health service providers into the primary healthcare system, this model can complement service delivery according to their level of expertise. It addresses the three delays that commonly contribute to maternal and perinatal mortality: delay in deciding to seek appropriate care, delay in reaching an appropriate healthcare facility, and delay in receiving adequate emergency care at the facility.

Implementing the enhanced community midwifery model requires collaboration between organizations, such as Save the Children and the local health department, to support the training, supervision, and mentorship of community midwives. It also involves reorienting traditional birth attendants to become birth companions and linking community midwives with community health volunteers to create awareness and demand for their services.

Overall, the community midwifery model has the potential to improve access to maternal health services, particularly in rural and hard-to-reach areas, by utilizing skilled healthcare professionals who are residents within the community and providing a continuum of care during pregnancy, childbirth, and postpartum period.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Strengthen the Community Midwifery Model (CMM): The study showed that the CMM had a significant impact on improving access to maternal health services. This model utilizes skilled out-of-work or retired healthcare professionals who are resident within a community to provide a continuum of care during pregnancy, childbirth, and postpartum period. To improve access, efforts should be made to further enhance the capacity of community midwives, provide them with necessary resources and support, and integrate them into the primary healthcare system.

2. Expand the reach of Community Health Volunteers (CHVs): CHVs play a crucial role in creating awareness and demand for maternal health services. They can provide health education, identify pregnant women, and refer them to community midwives or health facilities for antenatal, childbirth, and postnatal care. Expanding the number of CHVs and providing them with adequate training and support can help reach more women in hard-to-reach areas.

3. Strengthen collaboration and coordination between community midwives, CHVs, and health facilities: Effective collaboration and coordination between different stakeholders involved in maternal health, including community midwives, CHVs, and health facilities, is essential. This can be achieved through regular meetings, supervision, and mentorship to ensure the provision of quality services and seamless referrals between different levels of care.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Define the indicators: Identify key indicators that reflect access to maternal health services, such as the number of women receiving antenatal care, skilled births, and postnatal care.

2. Collect baseline data: Gather data on the selected indicators before implementing the recommendations. This can be done through existing health information systems, such as the DHIS2, or through surveys and interviews with relevant stakeholders.

3. Implement the recommendations: Roll out the recommended interventions, such as strengthening the CMM, expanding the reach of CHVs, and improving collaboration between different stakeholders.

4. Monitor and collect data: Continuously monitor the implementation of the recommendations and collect data on the selected indicators. This can be done through routine reporting systems, surveys, or other data collection methods.

5. Analyze the data: Use statistical analysis techniques, such as one-way analysis of variance (ANOVA) and Tukey post hoc tests, to compare the indicators before and after implementing the recommendations. This will help determine the impact of the interventions on improving access to maternal health services.

6. Evaluate the results: Assess the findings from the data analysis to determine the effectiveness of the recommendations. Identify any significant changes in the selected indicators and evaluate the overall impact on access to maternal health.

7. Adjust and refine the interventions: Based on the evaluation results, make any necessary adjustments or refinements to the interventions to further improve access to maternal health services.

By following this methodology, policymakers and healthcare providers can simulate the impact of the recommended interventions and make informed decisions to improve access to maternal health.

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