The unmet need for Emergency Obstetric Care in Tanga Region, Tanzania

listen audio

Study Justification:
– Improving maternal health and reducing maternal mortality is a key public health challenge in Tanzania.
– Evaluating and monitoring safe motherhood interventions is necessary to address this challenge.
– The study aims to assess the coverage of obstetric care in Tanga Region, Tanzania, using the Unmet Obstetric Need (UON) concept.
– The UON concept focuses on major obstetric interventions performed for absolute maternal indications.
– The study also explores the operationalization of the UON concept at the district level.
Study Highlights:
– The study analyzed data from 1,260 complicated deliveries in Tanga Region.
– Only 71% of major obstetric interventions were carried out for absolute maternal indications.
– The most frequent indication for major obstetric interventions was cephalo-pelvic-disproportion.
– There was a significant disparity in the proportion of major obstetric interventions between urban and rural areas.
– Negative maternal outcomes and high perinatal mortality rates raise concerns about the quality of care provided.
Study Recommendations:
– Address the unmet obstetric need in Tanga Region by increasing the coverage of major obstetric interventions for absolute maternal indications.
– Improve access to emergency obstetric care in rural areas to reduce the rural-urban disparity.
– Enhance the quality of care provided during major obstetric interventions to reduce negative maternal outcomes and perinatal mortality rates.
Key Role Players:
– Maternity staff from hospitals in Tanga Region
– Experts from Muhimbili National Hospital
– Health authorities in Tanga Region
– Tanzanian German Programme to Support Health
Cost Items for Planning Recommendations:
– Training and capacity building for maternity staff
– Infrastructure and equipment upgrades in hospitals
– Outreach programs to improve access to emergency obstetric care in rural areas
– Quality improvement initiatives to enhance the quality of care provided during major obstetric interventions
Please note that the cost items provided are general examples and may not reflect the actual cost of implementing the recommendations.

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong because it presents a two-year study conducted in three districts in Tanga Region, Tanzania. The study collected data prospectively from all four hospitals in the region, analyzing protocols covering 1,260 complicated deliveries. The study adapted the Unmet Obstetric Need (UON) concept to address differentials in access to emergency obstetric care between districts and between rural and urban areas. The study found that the percentage of major obstetric interventions carried out in response to an absolute maternal indication was only 71%, with a high proportion of negative maternal outcomes and perinatal mortality. The study concludes that Tanga Region has a significant unmet obstetric need with a considerable rural-urban disparity. To improve the evidence, future studies could consider expanding the sample size and including a wider range of districts and regions in Tanzania.

Background: Improving maternal health by reducing maternal mortality constitutes the fifth Millennium Development Goal and represents a key public health challenge in the United Republic of Tanzania. In response to the need to evaluate and monitor safe motherhood interventions, this study aims at assessing the coverage of obstetric care according to the Unmet Obstetric Need (UON) concept by obtaining information on indications for, and outcomes of, major obstetric interventions. Furthermore, we explore whether this concept can be operationalised at district level. Methods: A two year study using the Unmet Obstetric Need concept was carried out in three districts in Tanga Region, Tanzania. Data was collected prospectively at all four hospitals in the region for every woman undergoing a major obstetric intervention, including indication and outcome. The concept was adapted to address differentials in access to emergency obstetric care between districts and between rural and urban areas. Based upon literature and expert consensus, a threshold of 2% of all deliveries was used to define the expected minimum requirement of major obstetric interventions performed for absolute maternal indications. Results: Protocols covering 1,260 complicated deliveries were analysed. The percentage of major obstetric interventions carried out in response to an absolute maternal indication was only 71%; most major obstetric interventions (97%) were caesarean sections. The most frequent indication was cephalo-pelvic-disproportion (51%). The proportion of major obstetric interventions for absolute maternal indications performed amongst women living in urban areas was 1.8% of all deliveries, while in rural areas it was only 0.7%. The high proportion (8.3%) of negative maternal outcomes in terms of morbidity and mortality, as well as the high perinatal mortality of 9.1% (still birth 6.9%, dying within 24 hours 1.7%, dying after 24 hours 0.5%) raise concern about the quality of care being provided. Conclusion: Based on the 2% threshold, Tanga Region – with an overall level of major obstetric interventions for absolute maternal indications of 1% and a caesarean section rate of 1.4% – has significant unmet obstetric need with a considerable rural-urban disparity. The UON concept was found to be a suitable tool for evaluating and monitoring the coverage of obstetric care at district level. © 2007 Prytherch et al; licensee BioMed Central Ltd.

The UON methodology has been described in detail by the UON network [8]. In brief, absolute maternal indications (AMI) are defined as: • Antepartum haemorrhage due to placenta praevia or abruptio placenta • Malpresentation (transverse lie, brow presentation etc) • Ruptured uterus • Cephalo-pelvic disproportion/obstructed labour based on partograph with action line crossed by the dilation line (for the purpose of this study, this indication was intended to replace all other “indications” like poor progress, dystocia, prolonged labour etc.) • According to Tanzanian national guidelines and expert opinion, more than two previous Caesarean Section were also included. These conditions are selected not only because of their life-threatening nature, but also as they require a specific major obstetric intervention which can be verified through health service records. These major obstetric interventions (MOI) were adapted to the Tanzanian situation and included the following: • Caesarean Section • Hysterectomy following a caesarean section • Laparatomy for obstetric interventions • Destructive operation • Blood transfusion during pregnancy or delivery. Blood transfusion was included initially as a major obstetric intervention by the Tanzanian UON team; however, in the course of evaluating the data it became clear that it had not always been reliably recorded. It was therefore decided not to include this in the analysis of results. Therefore, the original UON concept remains as proposed by the UON network and is comparable to studies conducted in other countries. The UON network acknowledges that not all potentially life-saving interventions are included. To keep the concept operational the interventions selected were by necessity specific obstetric interventions such as are reliably recorded in routine registers, theatre ledgers, delivery books, and patient registers [8]. The UON network rests on the premise that as an absolute minimum 1–2% of pregnant women shall need a major obstetric intervention to save their lives [9]. This figure, based upon historical data from England and Wales [10], is supported by recent UON studies in other countries which have taken thresholds ranging from 1.0% to 1.6% [8]. Based on a Tanzanian pilot study in Mtwara urban district revealing a value of 2.4% [11], literature, and expert advice, the Tanzanian UON team decided to set this threshold for Tanzania at 2% of all deliveries. The study area chosen was Tanga, a coastal region comprising six districts. Tanga Region has a population of 1,642,015. Three of the six districts took part in the study, namely Lushoto, Muheza and Tanga Municipality. Lushoto and Muheza are rural districts, in which the majority of the population lives in rural areas. Tanga Municipality is an urban district where 80% of the people are living in urban areas. In the study area the populations are 419,970 for Lushoto, 279,423 for Muheza and 243,580 for Tanga Municipality. The study was conducted in 4 Hospitals; the Regional Hospital in Tanga; the District Designated Hospital in Muheza; the district hospital in Lushoto and in a church-run hospital in Bumbuli, Lushoto District. The methodology was explained to the key maternity staff from the four hospitals together with experts from Muhimbili National Hospital during a two-day workshop in Tanga resulting in the adaptation of the UON questionnaire to the local needs. Furthermore, it was decided to explore whether access to MOI varies according to rural or urban settings. Using the indicator from the 2002 census the distribution of the population was considered against the criterion that up to 10 km from the district main city is urban and >10 km is rural [12]. According to the above deliberation the population in rural areas is 88% in Lushoto, 89% in Muheza and 18% in Tanga Municipality. In accordance with the study protocol a questionnaire was filled in for each of the above-mentioned major obstetric interventions carried out, based on the relevant documents (delivery record, antenatal card, theatre book, partograph) and information provided by health workers when needed. The questionnaire was signed by the trained staff member and later by the supervisor. It has to be noted that health workers of the participating maternities were intensively schooled on the importance of partograph use on a routine basis prior to the commencement of the study. To estimate the UON per expected live birth a crude birth rate of 46 per 1,000 was used as is recommended practice of the Tanzanian Ministry of Health and Social Welfare. The percentage of MOIs per AMI per expected birth was calculated for the districts based on the demographic data from the National Census 2002 [12]. To estimate the deficit in MOIs as proxy for unmet obstetric need, a threshold of how many interventions are necessary in a given population has to be set. As stated, a threshold of 2% of all deliveries is used for this study. The study has been conducted over a period of two years between 2000–2002. In Lushoto data was collected over a period of 27 months. All the questionnaires were sent to the regional headquarter in Tanga, where the data entry was undertaken. Altogether, completed questionnaires for 1,260 MOIs were received and analysed in EPI-Info 2000. Out of these, 905 (71%) were carried out for AMIs and were used to assess the unmet obstetric need. As a measure of quality control the data derived from the UON questionnaires on caesarean section rates were cross-checked with data from the official health information and management system. Concerning limitations, it has to be noted that when the questionnaire was adapted for the Tanzania context, “blood transfusion” was also considered to be a major obstetric intervention. However, the findings revealed that some women were apparently transfused during pregnancy but did not go on to deliver at that point meaning that certain parts of the questionnaire (maternal outcome/infant outcome) were not filled in. Thus, these questionnaires were not included in the analysis. It could also be the case that blood transfusions were not necessarily perceived as a MOI by health staff which might explain the lack of follow-up. The comparison of the UON data and service data (Table ​(Table1)1) shows that reporting UON data from the districts is almost complete, while it appears that there was considerable under-reporting from Bombo regional hospital in Tanga. Therefore, our results from Tanga municipality may be an underestimate of MOIs and thus an overestimate of the unmet obstetric need. Comparison of Population-based Caesarean Sections Rates according to the Health Information Management System and Study Data The study was initiated by the Muhimbili National Hospital and Muhimbili University College of Health Sciences, Dar es Salaam, and implemented in cooperation with the health authorities in Tanga region and the Tanzanian German Programme to Support Health. Ethical approval was obtained from the University College; further approval was obtained from the Regional Authorities in Tanga Region and the Management Teams of the participating hospitals. The information collected in the questionnaires related to the presenting indications and actions taken and did not include any personal data.

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

1. Telemedicine: Implementing telemedicine services can provide remote access to healthcare professionals, allowing pregnant women in rural areas to receive medical advice and consultations without having to travel long distances.

2. Mobile clinics: Setting up mobile clinics that travel to rural areas can bring essential maternal healthcare services closer to women who may have limited access to healthcare facilities.

3. Community health workers: Training and deploying community health workers who can provide basic prenatal care, education, and support to pregnant women in remote areas can help improve access to maternal health services.

4. Emergency transportation systems: Establishing efficient emergency transportation systems, such as ambulances or motorcycle taxis, can ensure that pregnant women in need of emergency obstetric care can reach healthcare facilities in a timely manner.

5. Maternal health vouchers: Introducing maternal health vouchers that cover the cost of prenatal care, delivery, and postnatal care can help reduce financial barriers and improve access to essential maternal health services.

6. Health education programs: Implementing comprehensive health education programs that focus on maternal health can increase awareness and empower women to seek timely and appropriate care during pregnancy and childbirth.

7. Strengthening healthcare infrastructure: Investing in the improvement and expansion of healthcare facilities, particularly in rural areas, can ensure that pregnant women have access to well-equipped and adequately staffed facilities for safe deliveries and emergency obstetric care.

8. Public-private partnerships: Collaborating with private healthcare providers to increase the availability of maternal health services, particularly in underserved areas, can help bridge the gap in access to care.

It’s important to note that the specific context and needs of the Tanga Region in Tanzania should be taken into consideration when implementing any of these innovations.
AI Innovations Description
Based on the information provided, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Strengthening Obstetric Care Services: The study highlights the need to improve access to emergency obstetric care, particularly in rural areas. To address this, innovative approaches can be implemented to strengthen obstetric care services in these areas. This can include training and deploying skilled healthcare providers, ensuring availability of essential medical supplies and equipment, and improving infrastructure and transportation systems to facilitate timely access to healthcare facilities.

2. Implementing Telemedicine Solutions: Telemedicine can be utilized to provide remote consultations and support for healthcare providers in rural areas. This can help bridge the gap between rural and urban areas by enabling healthcare professionals in remote locations to access expert advice and guidance from specialists in urban areas. Telemedicine can also be used to provide antenatal and postnatal care, reducing the need for women to travel long distances for routine check-ups.

3. Community-Based Maternal Health Programs: Engaging and empowering communities can play a crucial role in improving access to maternal health services. Community-based programs can be developed to raise awareness about the importance of maternal health, provide education on pregnancy and childbirth, and promote early detection and referral for complications. These programs can also involve training community health workers to provide basic maternal healthcare services and support pregnant women in accessing appropriate care.

4. Mobile Health (mHealth) Solutions: Leveraging mobile technology can help overcome barriers to accessing maternal health services. Mobile health applications can be developed to provide information and guidance on pregnancy, childbirth, and postnatal care. These applications can also facilitate appointment reminders, provide access to teleconsultations, and enable women to track their own health indicators during pregnancy.

5. Strengthening Health Information Systems: Improving data collection and management systems is essential for monitoring and evaluating maternal health services. Innovations in health information systems can help track maternal health indicators, identify gaps in service delivery, and inform evidence-based decision-making. This can include the use of electronic medical records, data analytics, and real-time reporting systems to ensure timely and accurate information for planning and resource allocation.

By implementing these recommendations, it is possible to develop innovative solutions that can improve access to maternal health services, reduce maternal mortality, and achieve the Millennium Development Goal of improving maternal health.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Strengthening healthcare infrastructure: Invest in improving healthcare facilities, including hospitals, clinics, and maternity centers, particularly in rural areas where access is limited. This could involve building new facilities, upgrading existing ones, and ensuring they are adequately staffed and equipped.

2. Enhancing transportation services: Improve transportation options for pregnant women, especially in remote areas. This could include providing ambulances or other means of transportation to ensure timely access to healthcare facilities during emergencies.

3. Increasing skilled healthcare providers: Train and deploy more skilled healthcare providers, such as doctors, nurses, midwives, and community health workers, to areas with high maternal mortality rates. This would help ensure that women have access to quality care throughout their pregnancy, delivery, and postpartum period.

4. Promoting community awareness and education: Conduct awareness campaigns to educate communities about the importance of maternal health and the available healthcare services. This could involve disseminating information through various channels, including community meetings, radio, television, and mobile phones.

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

1. Define indicators: Identify key indicators to measure the impact of the recommendations, such as the number of maternal deaths, the percentage of women receiving antenatal care, the percentage of births attended by skilled healthcare providers, and the distance to the nearest healthcare facility.

2. Collect baseline data: Gather baseline data on the selected indicators before implementing the recommendations. This could involve conducting surveys, reviewing existing health records, and analyzing available data from health authorities.

3. Implement interventions: Implement the recommended interventions, such as building healthcare infrastructure, training healthcare providers, and conducting awareness campaigns. Ensure that these interventions are implemented consistently and monitored closely.

4. Monitor and evaluate: Continuously monitor the progress and impact of the interventions. Collect data on the selected indicators at regular intervals to assess the changes over time. This could involve conducting surveys, reviewing health records, and engaging with healthcare providers and community members.

5. Analyze and interpret data: Analyze the collected data to assess the impact of the interventions on improving access to maternal health. Compare the post-intervention data with the baseline data to identify any changes or improvements. This could involve statistical analysis and data visualization techniques.

6. Adjust and refine interventions: Based on the findings from the data analysis, make adjustments and refinements to the interventions as needed. This could involve scaling up successful interventions, addressing any challenges or barriers identified, and continuously improving the strategies to achieve better outcomes.

By following this methodology, it would be possible to simulate the impact of the recommendations on improving access to maternal health and make evidence-based decisions for further interventions and improvements.

Partagez ceci :
Facebook
Twitter
LinkedIn
WhatsApp
Email