Effectiveness of maternal referral system in a rural setting: A case study from Rufiji district, Tanzania

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Study Justification:
– The study aims to evaluate the effectiveness of the maternal referral system in a rural setting in Tanzania.
– The study is important because a functional referral system is crucial in supporting antenatal, labor and delivery, and postnatal services in primary level care facilities.
– Understanding the effectiveness of the referral system can help improve maternal and perinatal outcomes in rural areas.
Highlights:
– The study found that the majority of maternal referrals were due to demographic risks, but few women complied with the referrals.
– Financial constraints were a major factor for non-compliance with referral advice.
– Lack of compliance with referrals did not significantly increase the risk for perinatal death.
– Recommendations:
1. Review the referral indications to ensure they are appropriate and effective.
2. Strengthen counseling on birth preparedness and complication readiness to improve compliance with referrals.
Key Role Players:
– Ministry of Health and Social Welfare
– District Medical Officer
– Primary level of care facilities (clinical officers, nurses, MCH aides)
– Hospitals (government-owned district hospital, non-profit mission hospital)
– Health workers at primary level of care facilities
– Women and their families
Cost Items for Planning Recommendations:
– Training and capacity building for health workers on referral indications and counseling
– Review and revision of referral guidelines
– Strengthening of transportation services for emergency referrals
– Awareness campaigns on the importance of compliance with referrals
– Monitoring and evaluation of referral system effectiveness

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong. The study conducted a follow-up study in Rufiji rural district in Tanzania, which included a total of 1538 women referred from 18 primary level of care facilities. The study evaluated the effectiveness of the maternal referral system by determining the proportion of women reaching the hospitals after referral advice, the appropriateness of the referral indications, reasons for non-compliance, and the impact of compliance on perinatal outcomes. The study provides specific percentages and data on referral indications, compliance rates, and reasons for non-compliance. However, the abstract does not mention the methodology used for data collection and analysis, which could affect the overall strength of the evidence. To improve the evidence, the abstract should include more details on the study design, sampling methods, and statistical analysis techniques used.

Background: The functional referral system is important in backing-up antenatal, labour and delivery, and postnatal services in the primary level of care facilities. The aim of this study was to evaluate the effectiveness of the maternal referral system through determining proportion of women reaching the hospitals after referral advice, appropriateness of the referral indications, reasons for non-compliance and to find out if compliance to referrals makes a difference in the perinatal outcome. Methods. A follow-up study was conducted in Rufiji rural district in Tanzania. A total of 1538 women referred from 18 primary level of care facilities during a 13 months period were registered and then identified at hospitals. Those not reaching the hospitals were traced and interviewed. Results. Out of 1538 women referred 70% were referred for demographic risks, 12% for obstetric historical risks, 12% for prenatal complications and 5.5% for natal and immediate postnatal complications. Five or more pregnancies as well as age 12 hours/obstructed, abnormal lie or presentation of the baby, vaginal bleeding, variability of foetal heart beats ( 160 beats per minute), elevated body temperature of >38 Centigrade, eclampsia or blood pressure ≥140/90 mmHg, haemoglobin <60% (8.5 gm/dl), small pelvis or big baby, meconeum, retained placenta, severe perineal tear and blood loss ≥500 mls. During the first visit women are screened for referral indications in category A and B. For those identified as in need of referral a tick is made on a specific box on the antenatal card and the woman is informed of the need to go to hospital for further assessment or for delivery. During the subsequent antenatal care visits women given referral advice should be emphasized on the referral advice given. Those referred for delivery are advised to stay near the hospitals at the late months of pregnancy despite there are no maternity waiting homes near the hospitals. Women and their families have to arrange for a place to stay either in guesthouses or by their relatives. If a woman develops any of the indications for referral in category C during her prenatal care, she is referred immediately to hospital. Some women given a referral to hospital for further assessment or delivery actually come back to the primary level of care in labour for delivery. It is up to the discretion of the health worker to decide to re-refer the women or conduct the delivery. According to Kielmann et al 1995 and UNICEF 1997, a random sample of 25% to 30% of the health facilities in a district of an average size is usually adequate and feasible to represent a district health service situation [14,15]. All four RHCs and 14 randomly selected dispensaries in the flood plains and plateau zones among those with five or more deliveries per month were included in the study. The delta zone was not included due to difficulties in accessing the area. The primary levels of care facilities included covered 54% of the population in the district. The sample size of referred women was calculated using the soft ware Epi Info 6. Based on a study in Gutu, Zimbabwe [16] with an antenatal and delivery referral rate of 36%, a desired precision of 5%, 95% confidence interval, and a power of 90% a sample size of 364 referred women could have been sufficient. However to be able to compare with other studies on the use of obstetric care and captured variation of maternal referrals during rain and dry seasons, all maternal referrals to the hospitals from 1 June 2007 to 30 June 2008 were recorded. A parallel data collection system was established since the routine data collection indicated the risks but no information whether the women were referred to hospital or not. Health workers at the primary level of care facilities received refresh training on the RCHC-4 with an emphasis on the referral indications. Accurate recording of all women referred to hospital during pregnancy, delivery and after delivery was emphasized. During the training, it was emphasized that all health workers should stick to the national guidelines on referral indications and the health workers should repeat advising the women on referral in the subsequent visits. Information on women's socio-demographic characteristics and indications for referral were collected. If a woman had more than one indication for referral, the one associated with worse outcome or needing urgent attention based on obstetrician assessment was taken. A research identification number tag was stapled on the woman's antenatal card. Women that were referred were identified by the trained health workers at the hospitals, who recorded the treatments and outcome of deliveries if delivery takes place at the hospital. The data collection forms were reviewed by the first author in each primary level of care and the health workers completed missing information. The woman was regarded complied with referral advice when she reached the hospital after being referred from the primary level of care facility due to any of the indications. Women who did not reach the hospitals were identified by comparing the register books in the primary level of care and the hospitals. These women were traced by the primary level of care providers in their respective catchment's areas. Those women contacted were asked about reasons for not going to the hospital and their pregnancy outcome. If the mother had deceased, a relative or anybody who was with the mother during the incident was interviewed. The structural quality of the hospitals was assessed. Information on qualified staff for provision of emergency obstetric care, functioning operative theatre, blood transfusion facilities, evacuation facilities, functioning vacuum extractor and availability of antibiotics, oxytocics and anticonvulsants. The referral indications in category A and B in the RCHC-4 card is a mixture of demographic and obstetrical risks, we re-grouped the referral indications in these two categories to make the group containing only the demographic risks and a second group with risks from the obstetrical history and risks related to delivery. The final groups were the demographic risk factors, obstetric historical risks, prenatal complications, natal complications and immediately postnatal complications. Factors which may have higher risks of perinatal mortality were calculated. All factors in the demographic risk and obstetric historical risks groups were used in the calculation of risk of perinatal death. The prenatal and natal complications groups were calculated together and the risk factors included were haemoglobin 12 hours/obstructed and eclampsia. The risk of perinatal death was not calculated in the postnatal complications group as complications in this group do not affect perinatal outcome. The software SPSS was used for statistical analysis. The risk for perinatal death for women not complying with the referral in relation to those complying was calculated using odds ratio (OR) and 95% confidence intervals (CI). The protocol was reviewed and approved by the Muhimbili University of Health and Allied Sciences, the Senate research and Publication committee as part of the on going studies on quality assessment and monitoring of maternal referrals in the district. Permission to conduct the study was obtained from the Rufiji District Medical Officer and District Executive Director’s office. All participants agreed voluntarily to participate in the study after being informed of the aim and the consent sought from them.

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

1. Mobile health clinics: Implementing mobile health clinics that can travel to remote areas of Rufiji district, providing antenatal, labor, and postnatal care to women who may not have easy access to healthcare facilities.

2. Telemedicine: Introducing telemedicine services that allow healthcare providers to remotely assess and monitor pregnant women, provide consultations, and offer guidance on referrals when necessary.

3. Maternity waiting homes: Establishing maternity waiting homes near hospitals to accommodate pregnant women during the late stages of pregnancy, ensuring they are closer to healthcare facilities when they go into labor.

4. Community health workers: Training and deploying community health workers who can provide basic maternal health services, educate women on birth preparedness and complication readiness, and facilitate referrals when needed.

5. Transportation support: Improving transportation infrastructure and providing financial assistance for transportation to help overcome the challenges faced by women in accessing healthcare facilities, especially during the rainy season.

6. Strengthening referral systems: Reviewing and updating the referral indications to ensure they accurately capture the risks and complications that require referral, and providing comprehensive training to healthcare providers on the importance of referrals and appropriate referral protocols.

7. Health education and awareness campaigns: Conducting community-wide health education and awareness campaigns to promote the importance of maternal health, encourage women to seek care, and address misconceptions and barriers to accessing healthcare services.

These innovations have the potential to improve access to maternal health services in Rufiji district, Tanzania, by addressing geographical, financial, and knowledge barriers that women may face.
AI Innovations Description
Based on the information provided, here is a recommendation that can be developed into an innovation to improve access to maternal health:

1. Strengthening Counseling on Birth Preparedness and Complication Readiness: The study found that financial constraints were a major factor preventing women from complying with referral advice. To address this, it is recommended to enhance counseling on birth preparedness and complication readiness. This can include educating women and their families about the importance of saving money for transportation and emergency expenses during pregnancy and childbirth. Additionally, providing information on available financial assistance programs or insurance options can help alleviate the financial burden.

By implementing this recommendation, it is expected that more women will be prepared and able to comply with referral advice, leading to improved access to maternal health services and potentially better perinatal outcomes.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Strengthening counseling on birth preparedness and complication readiness: This recommendation aims to educate pregnant women and their families about the importance of being prepared for childbirth and potential complications. This can include information on the signs of labor, when to seek medical help, and the importance of timely referrals.

2. Reviewing referral indications: It is important to review the current referral indications to ensure that they accurately capture the risks and complications that require referral to a higher level of care. This can help improve the appropriateness of referrals and ensure that women who need specialized care are identified and referred accordingly.

3. Improving transportation infrastructure: Given the geographical challenges and difficult road conditions in the Rufiji district, improving transportation infrastructure can greatly enhance access to maternal health services. This can include paving roads, providing ambulances, and establishing transportation networks to facilitate timely referrals.

4. Establishing maternity waiting homes: Since there are no maternity waiting homes near the hospitals in the district, establishing these facilities can encourage pregnant women to stay near the hospitals during the late months of pregnancy. This can help ensure that women are in close proximity to emergency obstetric care when needed.

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 specific indicators that can measure the impact of the recommendations, such as the proportion of women reaching hospitals after referral advice, the rate of compliance with referrals, and perinatal outcomes.

2. Collect baseline data: Gather data on the current state of access to maternal health services, including the number of referrals, compliance rates, and perinatal outcomes. This can be done through surveys, interviews, and reviewing existing records.

3. Implement the recommendations: Introduce the recommended interventions, such as strengthening counseling, reviewing referral indications, improving transportation infrastructure, and establishing maternity waiting homes.

4. Monitor and evaluate: Continuously monitor the implementation of the recommendations and collect data on the indicators identified in step 1. This can involve tracking the number of referrals, compliance rates, and perinatal outcomes over a specific period of time.

5. Analyze the data: Analyze the collected data to assess the impact of the recommendations on improving access to maternal health. This can involve comparing the baseline data with the data collected after implementing the recommendations.

6. Draw conclusions and make recommendations: Based on the analysis of the data, draw conclusions about the effectiveness of the recommendations in improving access to maternal health. Identify any gaps or areas for further improvement and make recommendations for future interventions.

7. Communicate findings: Share the findings of the simulation study with relevant stakeholders, such as healthcare providers, policymakers, and community members. This can help inform decision-making and guide future efforts to improve access to maternal health services.

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