Using survival analysis to determine association between maternal pelvis height and antenatal fetal head descent in Ugandan mothers

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Study Justification:
– Fetal head descent is an important indicator of the capacity of the maternal pelvis to accommodate the fetal head during childbirth.
– Low resource settings with high rates of maternal deaths and morbidity during childbirth can benefit from understanding the association between maternal pelvis height and fetal head descent.
– This study aimed to determine the associations between maternal height and pelvis height with the rate of fetal head descent in expectant Ugandan mothers.
Study Highlights:
– The study included 1265 singleton mothers attending antenatal clinics at five hospitals in Uganda.
– Maternal pelvis height was measured in addition to routine antenatal examinations.
– Survival analysis was conducted using STATA 12.
– Significant associations were found between the rate of fetal head descent and maternal height and pelvis height.
Study Recommendations:
– Further study of maternal pelvis height as an additional decision support tool for screening mothers in low resource settings is recommended.
– The significant associations observed between maternal height and pelvis height with the rate of fetal head descent highlight the importance of considering these factors in maternal care.
Key Role Players:
– Researchers: Conduct further studies on maternal pelvis height and its implications for maternal care.
– Healthcare providers: Incorporate maternal pelvis height measurements into routine antenatal examinations.
– Policy makers: Consider the findings of this study when developing guidelines for maternal care in low resource settings.
Cost Items for Planning Recommendations:
– Training: Budget for training healthcare providers on how to measure maternal pelvis height accurately.
– Equipment: Allocate funds for purchasing or maintaining the necessary equipment to measure maternal pelvis height.
– Data Management: Set aside resources for data entry, analysis, and storage.
– Research Personnel: Include costs for researchers and support staff involved in conducting further studies on maternal pelvis height.
– Dissemination: Plan for the dissemination of study findings through publications or conferences.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is rated 7 because the study design is a cross-sectional study, which is a lower level of evidence compared to randomized controlled trials or systematic reviews. However, the study had a large sample size (1265 singleton mothers) and used survival analysis to analyze the data. To improve the strength of the evidence, future studies could consider using a prospective cohort design or a randomized controlled trial design to establish causality. Additionally, including a control group and conducting a sensitivity analysis could further strengthen the evidence.

Introduction: Fetal head descent is used to demonstrate the maternal pelvis capacity to accommodate the fetal head. This is especially important in low resource settings that have high rates of childbirth related maternal deaths and morbidity. This study looked at maternal height and an additional measure, maternal pelvis height, from automotive engineering. The objective of the study was to determine the associations between maternal: height and pelvis height with the rate of fetal head descent in expectant Ugandan mothers. Methods: This was a cross sectional study on 1265 singleton mothers attending antenatal clinics at five hospitals in various parts of Uganda. In addition to the routine antenatal examination, each mother had their pelvis height recorded following informed consent. Survival analysis was done using STATA 12. Results: It was found that 27% of mothers had fetal head descent with an incident rate of 0.028 per week after the 25th week of pregnancy. Significant associations were observed between the rate of fetal head descent with: maternal height (Adj Haz ratio 0.93 P<0.01) and maternal pelvis height (Adj Haz ratio 1.15 P<0.01). Conclusion: The significant associations observed between maternal: height and pelvis height with rate of fetal head descent, demonstrate a need for further study of maternal pelvis height as an additional decision support tool for screening mothers in low resource settings.

This was a multi site cross sectional study on 1265 antenatal visit records and examinations of mothers whose key descriptive information is summarized in Table 1. Included in this study were mothers whose gestational age was between 25-40 weeks of pregnancy based on their symphysio-fundal height measurement, made in centimeters by an experienced midwife after obtaining informed consent. During the 14 months of the study starting January 2013 only mothers with a singleton pregnancy were included in the study. These mothers were recruited on each day from each of the participating study site antenatal clinics by a team of previously trained midwives on duty that day. Mothers were recruited from various hospitals in Uganda that included: the National Tertiary Care teaching hospital (Mulago National Referral Hospital), Komamboga health center 4 (in Kampala central Uganda), Kagando hospital (western Uganda), St. Josephs Kitgum hospital (Northern Uganda) and Kilembe hospital (Western Uganda). A summary of the descriptive characteristic of the study population by site is provided in Table 2. Descriptive statistics of the study population Descriptive statistics for the study population by site The target sample size was calculated using the sample size calculator for Cox PH regression in STATA 12 to give 1102 mothers, using values from a study pilot for the following input parameters: alpha 0.05, hazard ratio 0.7, power 0.9 withdraws at 70% and expected number of events (fetal head descent) 331. This was inflated by a design effect of 1.15 for the 5 sites to give a total sample size of 1268 participants [20] For each mother, the following information was obtained: Age in years, height in centimeters and weight in kilograms measured using the available hospital equipment [21], gravidity, fetal presentation of the current pregnacy, head descent and symphysio-fundal height in centimeters on clinical examination to the nearest 0.1 centimeter. For each mother the pelvis height in centimeters was measured twice at the time of examination by the attending midwife, using the anterior superior illiac spine (ASIS) and the Symphysis pubis bony body landmarks using a pair of transperent rigid rulers placed at right angles to each other, as demonstrated in Figure 1 (see lines AB and BC). The average of these two measurements was used for analysis. The midwives at each site were trained in how to measure pelvis height and taken through the questionaire at the start of the study with additional refresher trainning and mentorship during the site visits by IGM. Demonstrating pelvis height using surface landmarks on the female human body Data was entered into Epidata version 3.2 (Epidata association, Denmark) and exported to STATA 12 (StataCorp LP, Texas, USA) for analysis. The focus of the analysis was on the association between the time to the key endpoint variable was defined as the antenatal visit in which a mother was observed to have fetal head descent on routine clinical obstertic abdominal examination by the research assistant nurse at the given site, with the study anthropometric measurements of maternal height and maternal pelvis height. Survial analysis was used to cater for the time to event nature of the above key end point variable. Also the maternal pelvis height used here is the same as the pelvis height currently used in automotive engineering to delineate the portion of height corresponding to the pelvis in crash test dummies [22]. The maternal pelvis height cut off of 7.50cm [23] was used to generate two groups: the first with pelvis height of less than or equal to 7.49cm and the other group greater than 7.50cm. For maternal height, grouping was done using the traditional cut off value of 150cm to generate two groups: the first with Maternal height of less than or equal to150cm and the other group greater than 150cm. Descriptive statistics were generated using: mean, ANOVA, log rank test, pair wise correlations and Kaplan-Meir survival graph plots for groups generated using the cutoff of 7.50cm [23] for pelvis height. This was then followed by univariable Cox regression modeling. To cater for the study design mulitlevel multivariable discrete time survival analysis using the gllamm function was used to calculate both the harzard ratios. During analysis any record found with a missing value was dropped from analysis and a P <0.05 was considered significant for all tests. Ethical considerations for this study included obtaining ethical approval from the Makerere University School of Biomedical Sceinces IRB and the study was registered with the Uganda National of Science and Technology. The hospital administrators and heads of units were briefed of the study and the need to obtain a copy of the Antenatal record. All the participating nursing staff were requested verbaly to be part of the study and offered an equivalent of 1US dollar compensation for each Antenatal record filled to completion. For the mothers, each was requried to sign an informed consent form to participate in the study. Informed consent was obtained by the attending midwife for visit. Young mothers less than 18 years, the age of consent in Uganda were handled as emancipated adults and all women were free to consult their spouses or next of kin since the study required one to provide contact information as part of the consent process. With the exception of measuring maternal pelvis height there were no other procedure or modification made to the current routine Antenatal practices at any of the participating sites. Refusal to consent did not result in a mother bieng denied access to health care or required services at the particpating faclity. No identifier marks or personal information was used in the analysis and subsequesnt reporting of the study results.

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

1. Implementing survival analysis: Survival analysis can be used to determine the association between maternal pelvis height and antenatal fetal head descent. This analysis can help identify potential risk factors and develop targeted interventions to improve maternal health outcomes.

2. Using automotive engineering techniques: The study used maternal pelvis height measurements from automotive engineering to assess the capacity of the maternal pelvis to accommodate the fetal head. This innovative approach can provide valuable insights into maternal health and help identify women at higher risk of childbirth-related complications.

3. Cross-sectional studies at multiple sites: Conducting cross-sectional studies at multiple hospitals in different parts of Uganda allows for a more comprehensive understanding of maternal health issues across different regions. This approach can help identify regional variations in maternal health outcomes and inform targeted interventions.

4. Incorporating anthropometric measurements: Collecting data on maternal height, weight, and pelvis height can provide valuable information on the physical characteristics of pregnant women and their potential impact on maternal health. These measurements can help identify risk factors and develop personalized care plans for pregnant women.

5. Using technology for data collection and analysis: The study utilized software such as Epidata and STATA for data collection and analysis. Implementing technology in maternal health settings can streamline data collection, improve accuracy, and facilitate data analysis, leading to more efficient and evidence-based decision-making.

6. Ethical considerations: The study obtained ethical approval, registered with the Uganda National of Science and Technology, and ensured informed consent from participating mothers. These ethical considerations are crucial in conducting research and implementing interventions in maternal health to protect the rights and well-being of pregnant women.

Overall, these innovations can contribute to improving access to maternal health by providing valuable insights into risk factors, developing targeted interventions, and ensuring ethical practices in research and healthcare delivery.
AI Innovations Description
The recommendation that can be developed into an innovation to improve access to maternal health is to further study and explore the use of maternal pelvis height as an additional decision support tool for screening mothers in low resource settings. The study mentioned in the description found significant associations between maternal height and pelvis height with the rate of fetal head descent in expectant Ugandan mothers. This suggests that measuring maternal pelvis height could be a useful indicator of the capacity of the maternal pelvis to accommodate the fetal head during childbirth.

By incorporating the measurement of maternal pelvis height into routine antenatal examinations, healthcare providers in low resource settings can potentially identify mothers who may be at higher risk of complications during childbirth due to inadequate pelvis capacity. This information can then be used to provide targeted interventions and resources to ensure safer deliveries for these mothers.

Further research and development can focus on refining the measurement technique for maternal pelvis height, as well as establishing specific cutoff values that indicate increased risk. Additionally, training programs can be implemented to educate healthcare providers on how to accurately measure pelvis height and interpret the results.

By integrating the measurement of maternal pelvis height into antenatal care practices, healthcare providers can identify high-risk mothers earlier and provide appropriate interventions to improve maternal and neonatal outcomes. This innovation has the potential to improve access to maternal health services and reduce childbirth-related maternal deaths and morbidity in low resource settings.
AI Innovations Methodology
Based on the provided description, the study aimed to determine the associations between maternal height and pelvis height with the rate of fetal head descent in expectant Ugandan mothers. The methodology used in this study can be summarized as follows:

1. Study Design: This was a cross-sectional study conducted at five hospitals in various parts of Uganda. The study included 1265 singleton mothers attending antenatal clinics.

2. Data Collection: In addition to routine antenatal examinations, each mother had their pelvis height recorded using the anterior superior iliac spine (ASIS) and the symphysis pubis bony body landmarks. Maternal height, weight, age, gravidity, fetal presentation, and symphysio-fundal height were also recorded.

3. Sample Size Calculation: The target sample size was calculated using a sample size calculator for Cox proportional hazards regression. The calculated sample size was 1102 mothers, which was inflated to 1268 participants to account for the design effect of 1.15 for the 5 study sites.

4. Data Analysis: Data was entered into Epidata version 3.2 and exported to STATA 12 for analysis. Survival analysis was used to determine the association between the time to fetal head descent and the study anthropometric measurements of maternal height and pelvis height. Descriptive statistics, ANOVA, log-rank test, pairwise correlations, and Kaplan-Meier survival graph plots were generated. Univariable Cox regression modeling was performed, and multilevel multivariable discrete time survival analysis using the gllamm function was used to calculate hazard ratios.

5. Ethical Considerations: Ethical approval was obtained from the Makerere University School of Biomedical Sciences IRB, and the study was registered with the Uganda National of Science and Technology. Informed consent was obtained from the participating mothers, and the hospital administrators and heads of units were briefed about the study.

In summary, this study used survival analysis to determine the associations between maternal height and pelvis height with the rate of fetal head descent in expectant Ugandan mothers. The methodology involved data collection, sample size calculation, data analysis using various statistical techniques, and adherence to ethical considerations.

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