The effects of centering pregnancy on maternal and fetal outcomes in northern Nigeria; a prospective cohort analysis

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Study Justification:
– Maternal and infant mortality rates are high in Nigeria, particularly in northern Nigeria.
– Low use of skilled birth attendants is a major contributing factor to these high mortality rates.
– Disparities exist between southern and northern Nigeria in terms of skilled birth attendant utilization.
– This study aimed to assess the effect of centering pregnancy group (CPG) antenatal care on the uptake of antenatal care, facility delivery, and immunization rates for infants in Kano state.
Highlights:
– The study enrolled 517 pregnant women, with 260 in the control group and 257 in the CPG group.
– Women in the CPG group had higher rates of attending antenatal care, health facility delivery, and immunizing their babies.
– When controlled for various factors, women in the CPG group were more likely to attend at least one antenatal care session in the third trimester, immunize their babies at six and fourteen weeks, and use health services.
Recommendations:
– Centering or group pregnancy care showed a positive effect on the use of antenatal services, facility delivery, and postnatal services.
– Centering pregnancy should be considered as a promising intervention to increase uptake of maternal health care services in northern Nigeria.
– Further investigation is needed to improve facility delivery in northern Nigeria.
Key Role Players:
– Community Health Extension Workers (CHEWs): Trained to provide education on pregnancy, manage antenatal care, recognize signs of labor complications, and coordinate referrals.
– Obstetricians and Pediatricians: Trained and supervised the CHEWs.
– Primary Health Clinic Staff: Provided the venue for CPG sessions and conducted standard antenatal and postnatal care.
Cost Items for Planning Recommendations:
– Training: Costs associated with training the CHEWs on the CPG curriculum and facilitation skills.
– Supervision: Costs for the supervision provided by obstetricians and pediatricians.
– Venue: Costs for using the primary health clinic as the venue for CPG sessions.
– Materials: Costs for CPG curriculum materials, antenatal and postnatal cards, and data capture tools.
– Data Management: Costs for the electronic data capture system and secure server.
– Referrals: Costs for referring pregnant women with complications to appropriate levels of care.
Please note that the provided information is based on the description and may not include all details from the study.

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 study design is a prospective cohort analysis, which is a robust method. The sample size is adequate, and statistical tests were conducted to compare the intervention and control groups. Logistic regression was used to measure the associations between the intervention and uptake of services. However, there are a few areas that could be improved. First, the abstract does not mention if the study was randomized or if there was a control group. Randomization would help reduce bias and increase the validity of the results. Second, the abstract does not provide information on the representativeness of the sample. It would be helpful to know if the participants were representative of the population in northern Nigeria. Finally, the abstract does not mention any limitations of the study. It would be useful to include any limitations or potential sources of bias in order to provide a more complete picture of the evidence.

Background: Maternal and infant mortality remains high in Nigeria primarily due to low use of skilled birth attendants. Huge disparities exist between southern and northen Nigeria on use of skilled birth attendants with south significantly higher than the north. We assessed the effect of centering pregnancy group (CPG) antenatal care on the uptake of antenatal care (ANC), facility delivery and immunization rates for infants in Kano state. Methods: Between December 2012 and May 2014, pregnant women with similar sociodemographics and obstetric history were enrolled into intervention (CPG) and control groups and followed up prospectively. Chi-square tests were conducted to compare the differences between the intervention and the control groups with respect to background characteristics and intervention outcomes. Logistic regression was used to measure the associations between CPG and uptake of services for mother-baby pairs in care. Results: A total of 517 (260 in the control group and 257 in the CPG) pregnant women enrolled and participated in the study. Thirty-six percent of women in the control group attended ANC at least once in 2nd and 3nd trimester compared to 49% of respondents in the CPG (p < 0.01). Health facility delivery was higher among CPG (13% vs. 8%; p < 0.01). When controlled for age, number of previous pregnancies, number of term deliveries, number of children alive and occupation of respondent or their spouses, respondents who participated in the CPGs compared to those who did not, were more likely to attend at least one antenatal care (ANC) session in the third trimester [adjusted risk ratio (ARR):1.52; 95% CI:1.36-1.69], more likely to immunize their babies at six weeks [ARR: 2.23; 95% CI: 1.16-4.29] and fourteen weeks [ARR: 3.46; 95% CI: 1.19-10.01] and more likely to use health services [ARR: 1.50; 95% CI: 1.06-2.13]. Conclusion: Centering or group pregnancy showed a positive effect on the use of antenatal services, facility delivery and postnatal services and thus is a promising intervention to increase uptake of maternal health care services in northern Nigeria. The low facility delivery remains a cause for alarm and requires further investigation to improve facility delivery in northern Nigeria.

Kano State is situated in the North-West of Nigeria and administratively divided into 44 Local Government Areas (LGAs). It is the most populous northern state with a total population of 9.4 million people of which 4,627,556 (48.3%) are female [23, 24]. Women of child-bearing age (15–49 years) account for about one-fifth of the total population, while the number of pregnant women (5%) in the state translates to about 478,280. The study was conducted in Kura Local Government Area (LGA) of Kano State, Nigeria, a largely rural community between December 2012 and May 2014. Kura LGA had a projected population of 175,200 with 38,544 women of childbearing age and 8760 pregnant women. Four intervention community clusters in Kura LGA were selected for the establishment of the centering pregnancy groups (CPGs). The intervention community clusters were selected based on having a health facility where deliveries were taken to ensure that requisite staff (nurse/midwife) and infrastructure for delivery was available. Each community cluster had a complement of four CPGs – for primigravida, multigravida, grand multigravida and postnatal care. The purpose of segregating pregnant women into groups defined by age bands and number of pregnancies was to facilitate peer-to-peer interaction during the CPG sessions by eliminating the cultural expectations of deference to older people, which would be a significant barrier to open interactions. Thus, a total of 16 CPGs were created as intervention groups. The CPG curriculum was based on a community-validated facilitative approach, which incorporates locally-rooted cultural concepts, language and practice. The CPG curriculum was adapted from a group pregnancy care model by the Population and Reproductive Health Initiative (PRHI) of Ahmadu Bello University, Zaria, Kaduna state. The CPG curriculum is divided into 11 modules of which eight modules are focused on antenatal care and three modules on postnatal care. During the CPG facilitated sessions, discussions on pregnancy, childbirth and newborn care related topics were guided by a CPG curriculum and basic clinical antenatal care was provided. Topics discussed included knowing your body, common discomforts in pregnancy, nutrition, hygiene, danger signs, birth preparedness, safe delivery, breastfeeding and baby care. In addition, malaria, HIV/AIDS and family planning were discussed. The CP model used in this intervention differed from the standard group ANC approach used at most Nigerian health facilities in the following key respects: (i) an educational format is followed that uses a facilitative leadership style with didactic discussion format; (ii) each session has an overall plan; (iii) attention is given to core content although emphasis may vary; (iv) there is stability of group leadership and the composition of the group is stable, but not rigid; (v) participants are involved in self-care activities and opportunities for socialization are provided and there is ongoing evaluation of outcomes. Each CPG was facilitated by a team of Community Health Extension Workers (CHEWs). In Nigeria, CHEWs are trained to provide education on pregnancy, manage ANC, recognize signs of labour complications and coordinate referrals for complicated pregnancy but do not undertake labour and delivery services. The CHEWs were trained for three days on the CPG curriculum and facilitation skills before commencement of the intervention. They also had five one-day refresher trainings during the intervention. The CHEW teams were trained and supervised by Obstetricians and Pediatricians from PRHI. Each team consisted of three CHEWs with one acting as the team leader. In addition, each session had a facilitator and a co- facilitator who had different roles: the facilitator introduced the topic for the session, the women facilitated the discussion; and the co- facilitators noted the group dynamics and contributed whenever an important issue in the module was left out or inadequately addressed. The women in each CPG were approximately around the same gestational age hence, the group sessions were scheduled based on the traditionally practiced antenatal care follow-up pattern in Nigeria: monthly visits till 28 weeks of gestation; fortnightly till 36 weeks; and weekly till delivery. After delivery CPG members were required to attend postnatal CPG sessions at 2, 4, 6, 10 and 14 weeks post-delivery in addition to home visits conducted by the CHEWs. The CPG sessions were held at the primary health clinic or center located in the community and each CPG session lasted about 3–4 h. To limit any selection bias, other health care facilities that conduct deliveries within the community clusters were identified. Pregnant women who received regular antenatal and postnatal care at these facilities were identified and recruited as the control group with similar stratification as those in the intervention group. Standard antenatal and postnatal care at health facilities in the LGA had the similar follow-up patterns as described above for the CPGs. Due to the stratification of pregnant women enrolled in the CPGs by parity, along with the limitation in the number of study sites to work in, randomization at the individual or community level was not possible. Rather, a quasi-experimental non-equivalent groups design was used to to select participants while enabling assignment of study participants by facility catchment to pre-defined study arms. Using the formula for comparing two proportions, a total sample size of 268 per study arm was required using an ANC utilization rate of 50%, a design effect of 1.5, attrition rate of 20% and level of precision of 0.05 to detect a 15% difference between the intervention group and control group. In anticipation of possible early dropouts and early deliveries (the gestational age at enrollment was based on client self-reports), a total of 587 clients were enrolled into the study. To be eligible for participation within both intervention and control arms of the study, pregnant women had to be 15–49 years of age, in the second trimester of a normal pregnancy with a single fetus, resident in the political ward in which the CPG was being established and registered at the health facility. Pregnant women were ineligible to participate if they had a pregnancy with complications, such as vaginal bleeding, premature contractions or if clinical assessment suggested that they may require more specialized care. Pregnant women ineligible due to medical exclusion were immediately referred to an appropriate level of care by study clinicians based on existing State Ministry of Health (SMOH) referral protocols. Ethical approval was granted by FHI 360’s Review Board, U.S.A and the National Health Research Ethics Committee (NHREC), Nigeria. CPG facilitators and staff responsible for running ANCs obtained the informed consent of all pregnant women who opted and were eligible to participate in the study. Following this, a questionnaire to capture sociodemographic data was administered to each pregnant woman at enrollment in their local language (Hausa). Antenatal and postnatal client visit information and clinical updates were documented on antenatal and postnatal cards which were held by the study participants, and on antenatal registers which were kept at the health facility. Data from these records were captured electronically on Open Data Kit (ODK) platform installed on android smart phones at each site and stored centrally in a secure server. Data were summarized with frequencies and percentages; the quantitative numeric variables such as age, number of deliveries, number of previous pregnancies and number of deliveries were transformed to categorical variables. Given the low utilization of healthcare services in northern Nigeria, we developed a composite variable called “critical uptake of healthcare”, defined as attending ANC in the 3rd trimester and early postnatal care session (within 2 weeks after delivery) or immunization at birth. Chi-square tests were conducted to compare the differences between the intervention and the control groups with respect to each background characteristic and intervention outcome indicator. Bivariate logistic regression analyses were used to test associations between CP and uptake of services for mother-baby pairs in care. Variables significant at p < 0.2 were considered for inclusion in multivariate Log-binomial regression models. The models were controlled for age, number of previous pregnancies and number of deliveries, respondent’s occupation and partner’s occupation. The educational status of pregnant women participating in the study was not controlled for in the multivariable model because information was not collected on this variable. However, the study was carried out in rural communities where married women had limited access to formal education beyond primary school level. Statistical analysis was done using STATA 12 software.

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The study recommends implementing centering pregnancy groups (CPGs) as a form of antenatal care to improve access to maternal health in northern Nigeria. CPGs provide education, support, and clinical care to pregnant women in a group setting. The study found that women who participated in the CPGs were more likely to attend antenatal care sessions, deliver their babies in a health facility, and utilize postnatal services compared to those who did not participate.

The CPGs were implemented in Kura Local Government Area (LGA) of Kano State, Nigeria, which is a largely rural community. Four intervention community clusters were selected in Kura LGA, and each cluster had four CPGs for different groups of pregnant women based on age and number of pregnancies. The CPG curriculum included topics such as pregnancy, childbirth, newborn care, nutrition, hygiene, danger signs, birth preparedness, breastfeeding, and family planning. The CPG sessions were facilitated by Community Health Extension Workers (CHEWs) who were trained on the CPG curriculum and facilitation skills.

To compare the effectiveness of CPGs, the study also identified health facilities within the community clusters where deliveries were taken and recruited pregnant women receiving regular antenatal and postnatal care at these facilities as the control group. This allowed for a comparison between the intervention group (CPGs) and the control group (standard antenatal and postnatal care).

The study used a quasi-experimental non-equivalent groups design to assign participants to the intervention and control groups. A total of 587 pregnant women were enrolled in the study, with a sample size of 268 per study arm. Data were collected through questionnaires, antenatal and postnatal cards, and antenatal registers. Statistical analysis was conducted to compare the differences between the intervention and control groups and measure the associations between CPG participation and uptake of services.

The study concluded that centering pregnancy groups showed a positive effect on the use of antenatal services, facility delivery, and postnatal services, making it a promising intervention to increase uptake of maternal health care services in northern Nigeria. However, the low facility delivery rate in the region remains a concern and requires further investigation to improve access to facility-based deliveries.

The study was published in BMC Pregnancy and Childbirth in 2018.
AI Innovations Description
The recommendation from the study to improve access to maternal health in northern Nigeria is to implement centering pregnancy groups (CPGs) as a form of antenatal care. The CPGs are designed to provide education, support, and clinical care to pregnant women in a group setting. The study found that women who participated in the CPGs were more likely to attend antenatal care sessions, deliver their babies in a health facility, and utilize postnatal services compared to those who did not participate.

The CPGs were implemented in Kura Local Government Area (LGA) of Kano State, Nigeria, which is a largely rural community. Four intervention community clusters were selected in Kura LGA, and each cluster had four CPGs for different groups of pregnant women based on age and number of pregnancies. The CPG curriculum included topics such as pregnancy, childbirth, newborn care, nutrition, hygiene, danger signs, birth preparedness, breastfeeding, and family planning. The CPG sessions were facilitated by Community Health Extension Workers (CHEWs) who were trained on the CPG curriculum and facilitation skills.

To improve facility delivery rates, the study also identified health facilities within the community clusters where deliveries were taken and recruited pregnant women receiving regular antenatal and postnatal care at these facilities as the control group. This allowed for a comparison between the intervention group (CPGs) and the control group (standard antenatal and postnatal care).

The study used a quasi-experimental non-equivalent groups design to assign participants to the intervention and control groups. A total of 587 pregnant women were enrolled in the study, with a sample size of 268 per study arm. Data were collected through questionnaires administered at enrollment, antenatal and postnatal cards, and antenatal registers. Statistical analysis was conducted to compare the differences between the intervention and control groups and measure the associations between CPG participation and uptake of services.

The study concluded that centering pregnancy groups showed a positive effect on the use of antenatal services, facility delivery, and postnatal services, making it a promising intervention to increase uptake of maternal health care services in northern Nigeria. However, the low facility delivery rate in the region remains a concern and requires further investigation to improve access to facility-based deliveries.

The study was published in BMC Pregnancy and Childbirth in 2018.
AI Innovations Methodology
To simulate the impact of the main recommendations of this abstract on improving access to maternal health, you could consider the following methodology:

1. Selection of study sites: Identify similar rural communities in northern Nigeria where access to maternal health care is limited. These communities should have health facilities where deliveries are taken.

2. Intervention group: Implement centering pregnancy groups (CPGs) in the selected communities, similar to the intervention described in the study. Create CPGs for different groups of pregnant women based on age and number of pregnancies. Train Community Health Extension Workers (CHEWs) on the CPG curriculum and facilitation skills.

3. Control group: Identify health facilities within the selected communities where deliveries are taken. Recruit pregnant women receiving regular antenatal and postnatal care at these facilities as the control group. Ensure that the control group receives standard antenatal and postnatal care.

4. Sample size determination: Determine the sample size required for the study based on the expected effect size, desired level of precision, and attrition rate. Consider using a quasi-experimental non-equivalent groups design, similar to the study, to assign participants to the intervention and control groups.

5. Data collection: Collect data through questionnaires administered at enrollment, antenatal and postnatal cards, and antenatal registers. Capture data electronically using a suitable data collection platform.

6. Statistical analysis: Conduct statistical analysis to compare the differences between the intervention and control groups and measure the associations between CPG participation and uptake of services. Use appropriate statistical tests, such as chi-square tests and logistic regression, to analyze the data.

7. Outcome measures: Assess the impact of the intervention on key outcome measures, such as attendance at antenatal care sessions, facility delivery rates, and utilization of postnatal services. Compare the outcomes between the intervention and control groups.

8. Ethical considerations: Obtain ethical approval for the study from relevant research ethics committees. Ensure informed consent is obtained from all study participants.

9. Reporting and dissemination: Summarize the findings of the study and publish them in a peer-reviewed journal or present them at relevant conferences. Share the results with stakeholders and policymakers to advocate for the implementation of CPGs as a strategy to improve access to maternal health care in northern Nigeria.

By following this methodology, you can simulate the impact of implementing centering pregnancy groups (CPGs) on improving access to maternal health care in similar rural communities in northern Nigeria.

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