Severe maternal outcomes in eastern Ethiopia: Application of the adapted maternal near miss tool

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Study Justification:
– The study aimed to assess the frequency of maternal near miss (MNM) in eastern Ethiopia using an adapted sub-Saharan Africa MNM tool and compare it with the original WHO MNM tool.
– The reduction of maternal mortality has made MNM an important indicator of maternal health.
– The study aimed to determine the applicability of the adapted MNM tool in a low-resource setting and highlight the potential underreporting of MNM cases when using the WHO criteria alone.
Study Highlights:
– The study was conducted in Hiwot Fana Specialized University Hospital and Jugel Hospital in eastern Ethiopia.
– The sub-Saharan Africa criteria identified 594 cases of MNM and all 28 deaths, while the WHO criteria identified 128 cases of MNM and 26 deaths.
– The MNM ratios were 80 per 1000 live births for the adapted criteria and 17 per 1000 live births for the WHO criteria.
– The mortality index was 4.5% for the adapted criteria and 16.9% for the WHO criteria.
– The study found that applying the WHO criteria alone would result in underreporting of MNM cases and maternal deaths in this low-resource setting.
Recommendations for Lay Reader and Policy Maker:
– The adapted sub-Saharan Africa MNM tool should be used in addition to the WHO MNM tool to accurately capture MNM cases and maternal deaths in low-resource settings.
– Health facilities should be equipped with the necessary resources and training to identify and manage life-threatening complications during pregnancy, childbirth, and postpartum.
– Improvements in the quality of care should be made to reduce the mortality index and ensure better outcomes for women with life-threatening conditions.
Key Role Players:
– Hospital administrators and managers
– Obstetricians and gynecologists
– Nurse midwives
– Anesthesiologists
– Emergency surgical officers
– Researchers and data collectors
Cost Items for Planning Recommendations:
– Training programs for healthcare providers on the adapted MNM tool and management of life-threatening complications
– Equipment and supplies for identifying and managing life-threatening conditions
– Staffing and personnel costs for additional healthcare providers and specialists
– Monitoring and evaluation systems to assess the quality of care and outcomes
– Information systems and data management tools for accurate reporting and analysis

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is relatively strong, but there are some areas for improvement. The study was conducted in two hospitals over a significant period of time, which increases the generalizability of the findings. The researchers applied both sub-Saharan Africa and WHO MNM criteria, allowing for a comparison of the two tools. The study also calculated various ratios and indices to assess the quality of care. However, the abstract lacks information on the study design, sample size, and statistical analysis methods used. Including these details would strengthen the evidence. Additionally, providing more information on the limitations of the study and potential biases would be helpful.

Background With the reduction of maternal mortality, maternal near miss (MNM) has been used as a complementary indicator of maternal health. The objective of this study was to assess the frequency of MNM in eastern Ethiopia using an adapted sub-Saharan Africa MNM tool and compare its applicability with the original WHO MNM tool. Methods We applied the sub-Saharan Africa and WHO MNM criteria to 1054 women admitted with potentially life-Threatening conditions (including 28 deaths) in Hiwot Fana Specialized University Hospital and Jugel Hospital between January 2016 and April 2017. Discharge records were examined to identify deaths or women who developed MNM according to the sub-Saharan or WHO criteria. We calculated and compared MNM and severe maternal outcome ratios. Mortality index (ratio of maternal deaths to SMO) was calculated as indicator of quality of care. Results The sub-Saharan Africa criteria identified 594 cases of MNM and all the 28 deaths while the WHO criteria identified 128 cases of MNM and 26 deaths. There were 7404 livebirths during the same period. This gives MNM ratios of 80 versus 17 per 1000 live births for the adapted and original WHO criteria. Mortality index was 4.5% and 16.9% in the adapted and WHO criteria respectively. The major difference between the two criteria can be attributed to eclampsia, sepsis and differences in the threshold for transfusion of blood. Conclusion The sub-Saharan Africa criteria identified all the MNM cases identified by the WHO criteria and all the maternal deaths. Applying the WHO criteria alone will cause under reporting of MNM cases (including maternal deaths) in this low-resource setting. The mortality index of 4.5% among women who fulfilled the adapted MNM criteria justifies labeling these women as having ‘life-Threatening conditions’.

This study was conducted from January 2016 to April 2017 in Hiwot Fana Specialized University Hospital (HFSUH) and Jugel Regional Hospital in Harar town. HFSUH is a tertiary referral hospital affiliated with the College of Health and Medical Sciences of Haramaya University, Ethiopia. It is the major referral hospital in the eastern part of the country serving a catchment area with a population close to 3 million. HFSUH has two major operation rooms—one for general cases and one specifically for obstetrics—and a central intensive care unit with standby generator for use during power breaks. The maternity unit, consisting of 41 beds, serves both referred and self-referred women. During the study period, the unit was run by seven consultants, eight residents, and more than 20 nurse midwives. One anesthesiologist was available in the hospital, based on a monthly rotation from the capital. Jugel Hospital is a regional general hospital found in the same town, run by the Harari Regional Health Bureau. The maternity unit was run by integrated emergency surgical officers (associate clinicians) [21] under the supervision of consultants from HFSUH. Since HFSUH is relatively well equipped (including the only neonatal intensive care unit and pediatric ward in the region), the majority of complications are referred to this hospital. In this prospective cohort study, we included all women with MNM according to the sub-Saharan Africa or original WHO MNM criteria. Identification of MNM was a two-step process—we first identified all women with potentially life-threatening conditions (PLTC) as defined by WHO (severe postpartum hemorrhage, severe pre-eclampsia, eclampsia, uterine rupture, severe complications of abortion, and sepsis/severe systemic infections); received critical interventions (use of blood products, laparotomy other than cesarean section); or were admitted to the intensive care unit [8]. At discharge, we then selected those who developed life-threatening complications, consisting of MNM and maternal deaths, according to the sub-Saharan Africa or original WHO MNM criteria [8,20]. Maternal near miss refers to a woman who nearly died but survived a life-threatening complication that occurred during pregnancy, childbirth or within 42 days of termination of pregnancy [7]. Severe maternal outcome includes women with life-threatening complications who survived the complications (near miss) or died. Eligible women were identified by trained research assistant nurse-midwives working in both hospitals through daily visits of obstetric ward, intensive care unit, emergency room, and gynaecology ward. Identified cases were evaluated and confirmed by the first author (AKT). Sample size was estimated based on the annual deliveries and maternal mortality ratio according to the recommendation by the WHO [22]. Considering the existing maternal mortality ratio (412) and the annual number of deliveries in both hospitals, we expected 7000 live births and 30 maternal deaths in 16 months. For all women with PLTC, or who received critical interventions, or admitted to the intensive care unit, basic identifying information (medical registration number, the underlying complication, and admission unit) were recorded daily and followed until discharge. Upon discharge, a thorough review of her medical record was conducted to collect detailed data on socio-demographic characteristics, history of morbidities, obstetric conditions, underlying complication, MNM event, treatments received, and maternal and perinatal outcomes. Information about referral status was also collected. Referred cases refers to women coming from health centers and district hospitals with existing complications. This enabled us to distinguish occurrence of MNM before or after admission—a good indicator of in hospital quality of care and referral system. The dependent variable was presence of maternal near miss or maternal death. Maternal death was defined as a death of woman while pregnant or within 42 days of termination of pregnancy. Maternal near miss was identified by the presence of any of the life-threatening complications listed in Table 1. Independent variables included socio-demographic characteristics (age, referral status, residence), obstetric conditions (parity, place of delivery, gravidity, antenatal care, mode of delivery), underlying medical complications, and infection. Data about the total number of deliveries was obtained from monthly hospital reports. In case of doubt and when additional information was required, attending clinicians were contacted for clarification. The overall data collection and quality of data was supervised by the first author (AKT) and two experienced researchers from the College of Health and Medical Sciences, Haramaya University. All completed questionnaires were checked for completeness and consistency before entry to the computer. Codes were used to identify each woman included in the study and no personal identifiers were included in the analysis or reporting. Access to collected data was restricted only to the research team and the questionnaire was kept in locked cabinet. a Acute cyanosis is blue or purple colouration of the skin or mucous membranes due to low oxygen saturation b Gasping is a terminal respiratory pattern, and the breath is convulsively and audibly caught. c Shock is persistent severe hypotension, defined as a systolic BP 2l) d Oliguria is urinary output < 30 ml/h for 4 h or 12h is a profound alteration of mental state that involves complete or near-complete lack of responsiveness to external stimuli. It is defined as a Glasgow Coma Scale 38 0C or 20/min, pulse rate >90/min, WBC >12,000 m Pulmonary edema is accumulation of fluids in the air spaces and parenchyma of the lungs n Severe abortion complications is defined as septic in incomplete abortion, complicated Gestational Trophoblastic Disease with anaemia o Severe malaria is defined as major signs of organ dysfunction and/or high-level parasitemia or cerebral malaria Data were entered using EpiData v3.1 (www.epidata.dk) and IBM SPSS Statistics for Windows, version 23 (IBM Corp., Armonk, N.Y., USA) was used for analysis. Descriptive statistics of study participants and indicators of MNM were analyzed. Severe maternal outcome ratio, MNM ratio, mortality index and MNM to mortality ratio were calculated. Severe maternal outcome ratio is the total number of women with life-threatening complications (MNM and maternal deaths) per 1000 live births. Similarly, MNM ratio refers to the total number of MNM per 1000 live births. Mortality index is the ratio of maternal deaths to the total number of women with life-threatening complications [5]. A lower mortality index level indicates good quality of care. The study was approved by the Institutional Health Research Review Committee of the College of Health and Medical Sciences, Haramaya University, Ethiopia (Ref N: C/A/R/D/01/1681/16). Since data were collected from medical charts after discharge of the women and no patient interview was planned, the need for informed consent was waived. Permission was obtained from the respective officials in the regional health bureau and participating hospitals.

Based on the provided information, it is difficult to identify specific innovations for improving access to maternal health. However, some potential recommendations for innovation in this context could include:

1. Telemedicine and mobile health technologies: Implementing telemedicine and mobile health technologies can help improve access to maternal health services, especially in remote or underserved areas. This can include remote consultations, monitoring of vital signs, and providing health education and information through mobile apps or SMS.

2. Community-based interventions: Developing community-based interventions that involve local healthcare providers, traditional birth attendants, and community health workers can help improve access to maternal health services. These interventions can focus on providing antenatal care, promoting safe delivery practices, and facilitating timely referrals to higher-level healthcare facilities.

3. Transportation solutions: Improving transportation infrastructure and implementing innovative transportation solutions, such as ambulances or mobile clinics, can help overcome geographical barriers and ensure timely access to maternal health services, particularly for women living in remote areas.

4. Task-shifting and training programs: Implementing task-shifting programs that train and empower midwives, nurses, and other healthcare providers to provide comprehensive maternal health services can help address the shortage of skilled healthcare professionals. This can improve access to essential maternal health services, including antenatal care, skilled birth attendance, and postnatal care.

5. Strengthening health information systems: Enhancing health information systems to collect, analyze, and utilize data on maternal health can help identify gaps in access and quality of care. This can inform evidence-based decision-making and targeted interventions to improve access to maternal health services.

It is important to note that these recommendations are general and may need to be tailored to the specific context and challenges faced in eastern Ethiopia.
AI Innovations Description
Based on the information provided, the study conducted in eastern Ethiopia aimed to assess the frequency of maternal near miss (MNM) using an adapted sub-Saharan Africa MNM tool and compare its applicability with the original WHO MNM tool. The study found that the sub-Saharan Africa criteria identified more cases of MNM and all maternal deaths compared to the WHO criteria. The mortality index was lower when using the adapted criteria, indicating better quality of care.

Based on these findings, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Adaptation and implementation of the sub-Saharan Africa MNM tool: The study showed that the adapted sub-Saharan Africa MNM tool identified more cases of MNM and all maternal deaths compared to the original WHO MNM tool. Therefore, health facilities and organizations working in maternal health should consider adopting and implementing the adapted tool to improve the identification and management of maternal near miss cases.

2. Training healthcare providers on the use of the adapted MNM tool: To ensure accurate and consistent application of the adapted MNM tool, healthcare providers should receive training on its use. This training should include information on the criteria for identifying MNM cases, documentation procedures, and the importance of timely and appropriate management of maternal near miss cases.

3. Strengthening referral systems: The study mentioned that the majority of complications were referred to the tertiary referral hospital, indicating the importance of a well-functioning referral system. To improve access to maternal health, efforts should be made to strengthen the referral systems between primary healthcare facilities, secondary hospitals, and tertiary referral hospitals. This can include improving communication channels, transportation options, and coordination between facilities.

4. Enhancing capacity for emergency obstetric care: Since MNM cases often require emergency obstetric care, it is crucial to enhance the capacity of healthcare facilities to provide timely and appropriate care. This can involve ensuring the availability of essential equipment, supplies, and medications, as well as training healthcare providers in emergency obstetric procedures and protocols.

5. Community awareness and engagement: To improve access to maternal health, it is important to raise awareness among the community about the signs and symptoms of complications during pregnancy and childbirth. Community engagement programs can be implemented to educate women, families, and community members about the importance of seeking timely and appropriate care, as well as the available maternal health services.

By implementing these recommendations, it is expected that access to maternal health will be improved, leading to better identification and management of maternal near miss cases, reduced maternal mortality, and improved overall maternal health outcomes.
AI Innovations Methodology
Based on the provided information, here are some potential recommendations to improve access to maternal health:

1. Strengthen referral systems: Enhance the coordination and communication between health centers, district hospitals, and tertiary referral hospitals to ensure timely and appropriate transfer of pregnant women with complications.

2. Improve availability of critical interventions: Ensure that essential medical supplies, including blood products, are readily available in health facilities to manage severe postpartum hemorrhage, eclampsia, and other life-threatening conditions.

3. Enhance training and capacity building: Provide comprehensive training to healthcare providers, including midwives, nurses, and doctors, on the management of maternal complications and emergency obstetric care.

4. Increase community awareness: Conduct community-based education programs to raise awareness about the importance of antenatal care, skilled birth attendance, and early recognition of danger signs during pregnancy and childbirth.

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

1. Baseline data collection: Gather data on the current status of maternal health access, including maternal mortality ratio, maternal near miss cases, and availability of essential obstetric services.

2. Define indicators: Identify specific indicators to measure the impact of the recommendations, such as the number of referrals made, availability of critical interventions, healthcare provider knowledge and skills, and community awareness levels.

3. Introduce interventions: Implement the recommended interventions in selected health facilities or communities.

4. Monitor and evaluate: Continuously monitor the implementation of interventions and collect data on the identified indicators. This can be done through regular data collection, surveys, and interviews with healthcare providers and community members.

5. Analyze data: Analyze the collected data to assess the impact of the interventions on improving access to maternal health. Compare the baseline data with the post-intervention data to identify any changes or improvements.

6. Adjust and refine: Based on the findings, make adjustments and refinements to the interventions as needed. This could involve scaling up successful interventions or modifying strategies that did not yield the desired results.

7. Continuous improvement: Maintain an ongoing process of monitoring, evaluation, and adjustment to ensure sustained improvements in access to maternal health.

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

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