Operative Delivery Research Articles

A Vision of the Future: Harnessing Artificial Intelligence for Strategic Social Marketing

Artificial intelligence (AI) is transforming much of society in a short time. Regardless of whether we know it, we interact with AI systems when we seek information online, shop, work, and engage with social media. AI has massive potential to promote human wellbeing but also poses considerable risks, as set out in an open letter signed by leaders in the field, such as Geoffrey Hinton, the “Godfather of AI”. This paper examines how AI can be used as a powerful tool to change pro-social behaviors as part of social marketing programs. We examine opportunities to build on existing efforts to use AI for pro-social behavior changes and the challenges and potential risks that AI may pose. The specific aims of the paper are to explore how AI can be used in social marketing policy, strategy development, and operational delivery. We also explore what this means for future social marketing practice. We present an overview of case studies from the social marketing field and the application of AI in the past, present, and future. We examine the following key question: can these new technologies can be used to promote social good, and if so, how? Through examples from policy, strategy development, operations, and research in social marketing, we examine how AI has been used and successfully applied to improve consumer outcomes and analyze its implications for social marketing. We conclude that AI has substantial promise but also poses some challenges and has potential negative impacts on efforts to promote pro-social behavior changes. Used well, AI may enable social marketers to more rapidly assess how to modify programs of action to ensure maximum efficiency and effectiveness. We suggest future research and programs within this field.

WOMENS CHOICE OF POSITIONS DURING LABOUR- AN ANCIENT TOUCH TO TODAYS MODERN OBSTETRIC PRACTICE

Introduction: Childbirth medicalization has reduced the parturienta opportunity to labour and deliver in spontaneous position, constricting her to assume the recumbent one. Aims and objectives: the aim of this study was to educate the pregnant women who are not in labour about the alternative positions of labour and take there desired position of delivery. Material And Methods: This Study Was Conducted In Pravara Hospital In Multiparous Ante Natal Women Of 300 By Showing Them The Images Of Different Birthing Positions And Taking There Input In Which They Desire To Labour. Results: Results Of The Study Are Summerised In Form Of Percentages Of Women Willing To Deliver In Different Positions. Conclusion: Counselling Women For Alternative Maternal Positioning May Positively Influence Labour Process Reducing Maternal Pain , Operative Vaginal Delivery , Caeserean Section And Episiotomy Rate.

Effects of implementation of a care bundle on rates of necrotising enterocolitis and own mother’s milk feeding in the East Midlands: protocol for a mixed methods impact and process evaluation study

IntroductionPrevention of necrotising enterocolitis (NEC) is vital for improving neonatal outcomes. Feeding own mother’s milk helps prevent NEC. Rates of own mother’s milk feeding in the East Midlands are lower...

Predictors associated with night sleep disturbance among breastfeeding women

ObjectiveThe aim of this study was to investigate the incidence of somnological disorders among Kazakhstani women who breastfeed and to assess the association of this phenomenon with some medical and social characteristics. MethodsThe authors used the standardized questionnaire of A.M. Vein and Y.I. Levin to assess nocturnal sleep among 1101 breastfeeding women in the Republic of Kazakhstan, applied Pearson's chi-square test to study the correlation between sleep disturbances and duration of breastfeeding, and multiple logistic regression to assess the influence of various medical and social factors on somnological disorders. Data collection occurred in February 2023. ResultsOn average, 80% of breastfeeding women (ranging from 79% to 85.9%) experienced some form of nocturnal sleep disorders, with no significant association found between these disorders and breastfeeding duration (p = 0.234), while urban residence, history of operative delivery, child's health issues, and low satisfaction levels with various aspects were associated with over twofold increased odds of experiencing sleep disorders (p ≤ 0.05). ConclusionsThe elevated prevalence of nocturnal sleep disorders among breastfeeding Kazakhstani women serves as a risk indicator for adverse health outcomes, with predictors including place of residence, obstetric complications, child health issues, and satisfaction levels with social conditions and personal expression opportunities.

Optimizing Last Mile Delivery Operations: A Comprehensive Case Study on Flipkart’s Innovative Approach

Effective last-mile delivery operations are essential for both customer happiness and long-term business growth in the ever-changing world of e-commerce. This study thoroughly examines the ground-breaking tactics and creative solutions that Flipkart, one of the biggest e-commerce companies in India, used to streamline its last-mile delivery processes. After a thorough examination that takes into account strategic network development, customer-centric efforts, and technical advancements, this paper clarifies the various tactics that have helped Flipkart become a leader in last mile delivery excellence. This paper examines the larger implications and practical insights for transforming last mile delivery operations in the e-commerce business, based on the analysis of Flipkart's case study. Keywords: Flipkart, supply chain management, e-commerce, last-mile delivery, and logistics optimization.

Effects of Hydrotherapy on the Management of Childbirth and Its Outcomes-A Retrospective Cohort Study.

The main objective of this study was to generate further evidence on maternal and birth outcomes associated with the use of hydrotherapy during labor, specifically aiming to describe the effects of water immersion during all stages of labor (first, second, and third) on women. A retrospective cohort study was carried out on a random sample of women who gave birth at the Costa del Sol Hospital between January 2010 and December 2020. The calculated sample size was 377 women and the data were extracted from their partograms. After data extraction, two groups were formed: one group used hydrotherapy during childbirth (n = 124), while the other group included women who did not use hydrotherapy during the childbirth process (n = 253). The results highlight significant differences in pain perception, analgesia use, types of labor, and delivery times between the two groups. Women who did not use hydrotherapy reported higher pain perception, with a median (IQR) of 8 (7-9) on a numerical scale, compared to a median (IQR) of 6 (5-7) for the hydrotherapy group. Furthermore, the group without hydrotherapy required epidural analgesia in 40% of cases, while in the hydrotherapy group, it was only necessary in 20%. In terms of the type of delivery, the hydrotherapy group had more spontaneous vaginal deliveries compared to the non-hydrotherapy group, which had more operative vaginal deliveries. The overall duration of labor was longer in the hydrotherapy group, especially in women who arrived at the hospital late in labor. Hydrotherapy is associated with a longer time to delivery. Women with a higher pain tolerance tend to opt for hydrotherapy instead of epidural analgesia.

The association between increased fetal movements in the third trimester and perinatal outcomes; a systematic review and meta-analysis

BackgroundFetal movement monitoring is one of the strategies used to assess the fetus’s health. Until now, most studies focused on the decreased fetal movement and neonatal outcome, although this systematic review and meta-analysis is designed to assess the association between increased fetal movements (IFM) with perinatal outcomes.MethodThe electronic databases including PubMed, Scopus, Web of Science, and EMBASE were systematically searched for studies investigating the perinatal outcome of women with increased fetal movements from inception to July 2023. Following that, a random-effect meta-analysis model was used to obtain the combined diagnostic and predictive parameters including perinatal mortality (still birth and early neonatal mortality), operative delivery, Apgar score, neonatal resuscitation at birth and NICU Admission.ResultsAfter the initial screening, seven studies examining the association between increased third trimester fetal movement and various perinatal outcomes were included. Meta-analysis revealed a significant reduction in the risk of cesarean delivery among patients with IFM compared to controls, suggesting a potential protective effect during childbirth. However, no statistically significant difference was observed in birth weight, small or large for gestational age births, neonatal intensive care unit admission, maternal age, umbilical cord around the neck, gestational diabetes mellitus, and hypertension, indicating that IFM may not be a major predictor of adverse perinatal outcomes or maternal conditions. Notably, IFM was significantly associated with a higher likelihood of labor induction.ConclusionThe findings suggest that IFM may have a protective effect against cesarean delivery. Additionally, IFM does not appear to be significantly associated with maternal age, umbilical cord around the neck, gestational diabetes mellitus and hypertension. However, the observed significant association with labor induction warrants further investigation.

A comparative study between dinoprostone pessary and dinoprostone gel for induction of labor and neonatal outcome

This study compares the safety and efficacy of two dinoprostone formulations – a pessary and a gel. A retrospective randomised observational study was conducted to compare Dinoprostone controlled release pessary and Dinoprostone gel for induction of labor at term in women with unfavourable cervix at Apollo Hospitals BGS, Mysuru during August 2018 – May 2020. Among study participants 50 expectant mothers received Dinoprostone pessary while 50 women received Dinoprostone gel for induction of labour. Both groups were compared and the outcomes were analysed. The primary outcomes of the study were induction to delivery interval, successful vaginal delivery, need for operative vaginal delivery and need for caesarean section. Secondary outcomes were observed for neonatal morbidity and uterine hyperstimulation. There was a significant (p=<0.001) improvement in Bishop scores after induction in both groups. When only the post-induction scores for the two formulations were compared, the pessary helped to improve the bishops score (or helps in cervical ripening) better than the gel formulation and therefore can help to improve the chances of vaginal delivery(because there is a significant change in post induction bishop score in pessary group). The mean interval from induction to delivery for the pessary group was 11.03±4.648 hours and for the gel it was 21.18±9.127 hours with a significant p value <0.005The pessary showed a significant improvement in the post-induction Bishop score and a shorter induction to delivery time compared to the gel. Differences in the mode of delivery were not significant. Fortunately, no serious side effects to the mother or fetus were observed with both products. Both formulations of dinoprostone are safe for induction of labor at term. However, pessary achieves comparitively a higher rate of spontaneous vaginal delivery with a shorter labor induction time. Ease of administration, single application and thus decreased chance of infections are its additional benefits.

Monetary Policy, Digitalisation and Banking Industry Performance in Nigeria

In the evolving financial landscape of Nigeria, the interplay between monetary policy and digitalization significantly influences the performance metrics of banks. This study explores the multifaceted impact of these two critical factors on the Nigerian banking sector. Monetary policy, orchestrated by the Central Bank of Nigeria, regulates the economy's money supply, affecting banks' lending behaviors and liquidity. Digitalization, on the other hand, offers a transformative potential for banks to enhance operational efficiency, customer experience, and service delivery through technological advancements. The study examines how money supply, lending rate and digitalization (proxied by mobile cell subscription) affect banks’ financial performance, focusing on bank credit and liquid assets, while controlling for inflation and exchange rate variables. It also examines the interaction between digitalization and monetary policy variables on bank performance. Employing an interactive multiple regression model, the study analyzes time series data from 1996 to 2022 sourced from the World Bank. Findings indicate that while stringent monetary policies can constrain bank performance by tightening credit and reducing liquidity, digitalization provides an opportunity for banks to counteract these effects through enhanced efficiency. However, the successful integration of digital technologies is contingent upon adequate investment, regulatory support, and strategic alignment with the banks’ core objectives. The study concludes that Nigerian banks must adeptly manage monetary policy fluctuations and leverage digitalization to sustain and enhance performance. These insights could guide policy formulation and strategic decision-making within the banking industry.

Impact of body mass index on sonographic measurement of head perineum distance before operative vaginal delivery.

To evaluate the impact of body mass index (BMI) on sonographic measurement of head perineum distance (HPD) before operative vaginal delivery (OVD). This was a single-center retrospective cohort study (Lille, France) conducted from March 1, 2019 to October 31, 2020 including all singleton and OVD. HPD measurement was systematically performed without and with compression on the perineum soft tissues. The level of station was defined by vaginal examination and three maternal BMI groups were defined (normal BMI [<24.9 kg/m2] vs overweight [25-29.9 kg/m2] vs obese [≥30 kg/m2]). HPD measures were compared between BMI groups and compression, in distinct level of station, using a two-factor analysis of variance including BMI groups, the compression, and the interaction term BMI group compression. A total of 775 women were included: 488 with normal BMI, 181 overweight patients and 106 obese patients. The measurement of HPD before OVD without and with compression on the soft tissues was significantly different between the BMI groups only in the lower part, particularly between normal BMI and obese patients (mean difference (95% CI): 6.6 mm (4.0 to 9.2) without compression; 3.8 (1.1 to 6.4) with compression). The values of HPD without and with compression on the soft tissues on the maternal perineum were different according to the maternal BMI concerning lower part station. Thus, it seems important to define thresholds of HPD measures corresponding to each head station levels according to maternal BMI.

Hub-and-Spoke Network Optimization with Flow Delay Cost: The Case of Goods Delivery on Urban Logistics Networks in Eastern China

With respect to a traditional point-to-point (P-P) network, a hub-and-spoke (H-S) network not only uses a smaller number of links/paths but also utilizes the scale economy advantage on consolidated flows on hub–hub links and at hubs. However, the inevitable delays through hubs have always been a critical concern. Therefore, this paper develops an H-S model considering flow delay costs and applies the model to a logistics case in Eastern China. The integer quadratic term in the model’s objective function is linearized using the algebraic method. Our model is applied to develop an H-S network for its 13-node express package delivery operation, using the particle swarm optimization (PSO) algorithm. The results show using the H-S can save more than 14.1% of the total cost annually. The model also provides an applied case to the H-S configuration, especially for urban express delivery logistics in China.

A risk-averse distributionally robust optimisation approach for drone-supported relief facility location problem

Drone-supported last-mile humanitarian logistics applications play a crucial role in the rapid and efficient delivery of essential relief items, such as medicine, blood, and vaccines, during disaster and emergency situations. This paper explores a novel drone-supported relief facility location problem (DSRFLP) aimed at establishing an effective drone-supported last-mile humanitarian logistics system. The problem involves making joint decisions for both pre-disaster and post-disaster phases while considering the characteristics of drone-based delivery operations and uncertain demands. In the pre-disaster phase, we make the decisions regarding the locations of drone-supported relief facilities, inventory prepositioning of relief items, assignment of drones to the opened facilities, and allocation of drones to disaster demand sites. In the post-disaster phase, we make decisions related to delivery quantities. To tackle the challenge of incomplete demand distribution information in chaotic disaster environments, we establish a distributionally robust optimisation (DRO) model to handle the uncertainty of demands. This model adopts worst-case mean Conditional Value-at-Risk as the risk measurement, reflecting the risk-averse attitude of humanitarian organisers. In this paper, three ambiguity sets (box, ellipsoidal, and polyhedral) are considered to describe the ambiguity distributions of demands. To overcome the computational challenge, we reformulate the DRO model under three ambiguity sets into two mixed-integer linear programming models and one second-order cone programming model, which can be efficiently solved by off-the-shelf solvers. Furthermore, we validate our proposed DRO model through a small-scale example and a large-scale case study based on the Lushan earthquake in China. The computational outcomes underscore the superior performance of the proposed DRO model to mitigate the impact arising from incomplete probability distributions. We propose managerial implications and insights to support the decision-making of humanitarian organisations based on the experimental results. Finally, we propose two extended models to incorporate multiple relief items and equity constraints in priority settings and conduct numerical experiments to adapt to various real-world disaster scenarios.

Obstetric claims in Finland 2012-2022-A nationwide patient insurance registry study.

Maternal and infant mortality rates in Finland are among the lowest in the world, yet preventable obstetric injuries occur every year. The aim of this study was to describe obstetric claims, their compensation rates, and temporal trends of claims reported to the Patient Insurance center. A nationwide, register-based study was conducted. Data consisted of obstetric claims reported to the Patient Insurance Center between 2012 and 2022. Data analyzed included the year of injury, compensation criteria, maternal age, birth hospital, delivery method, reported causes of injury, and maternal or neonatal injury. The data were analyzed with descriptive statistics and logistic regression models. A total of n = 849 obstetric claims were filed during the study period, of which n = 224 (26.4%) received compensation. The rate of claims was 0.15%, and the rate of compensation was 0.04% in relation to the total volume of births during the period. Substandard care was the most common (97.3%) criterion for compensation. There was a curvilinear increase in the claims rate and a linear increase in compensation rates from 2013 to 2019. More claims were filed and compensated for cesarean and vacuum-assisted deliveries than for unassisted vaginal deliveries. Delayed delivery (18.7%) and surgical technique failure (10.9%) were the most reported causes of injuries. Retained surgical bodies were the induced cause of injury with the highest rate of compensated claims (86.7%). The most common maternal injury was infection (17.9%) and pain (11.7%). Among neonatal injuries, severe (19.2%) and mild asphyxia (16.6%) were the most frequent. Burn injuries (93.3%) and fetal or neonatal death (60.5%) had the highest rate of compensated claims. The study provided new information on substandard care and injuries in obstetric care in Finland. An increasing trend in claims and compensation rates was found. Identifying contributors to substandard care that lead to fetal asphyxia is important for improving obstetric safety. Further analysis of the association of claims and compensation rates with operative deliveries is needed to determine their causality. Frequent review of obstetric claims would be useful in providing more recent data on substandard care and preventable injuries.

The Impact on Birth Outcomes of Sonographic Fetal Weight Estimation in Neonatal Macrosomia.

Our objective was to examine the association between sonographic estimated fetal weight (EFW) and obstetrical and neonatal outcomes in women with neonatal macrosomia. This study, conducted at a tertiary university-affiliated hospital from 2017 to 2021, compared obstetrical and neonatal outcomes between two groups of women who delivered macrosomic newborns (actual birthweight ≥ 4,000 g): (1) those with EFW ≥ 3,800 g (suspected impending macrosomia) and (2) those with EFW < 3,800 g (unsuspected impending macrosomia). During the study period, 854 women with neonatal macrosomia attempted vaginal delivery. Only 9.2% had a sonographic EFW ≥ 4,000 g. Among women with EFW ≥ 3,800 g (n = 317) compared with EFW < 3,800 g (n = 537), the cesarean delivery (CD) rate was higher (17.0 vs. 10.5%, p = 0.004) and the operative delivery rate was lower (3.2 vs. 0.6%, p = 0.015). Among primiparous women, the CD rate was higher among those with EFW ≥ 3,800 versus <3,800 g (37.3 vs. 23.2%, p = 0.033). EFW ≥3,800 g was associated with CD, regardless of predelivery body mass index, parity, diabetes mellitus, maximal fetal weight at previous deliveries, actual birthweight, and labor induction (p = 0.014). EFW ≥ 3,800 g and diabetes mellitus were independent predictors of CD. Among women with EFW ≥3,800 g and diabetes mellitus, the risk of CD was double that of those without diabetes and with EFW ≥ 3,800 g (31.4% vs. 15.2%, p = 0.02), although their actual birthweights were similar. Obstetrical and neonatal outcomes were similar between those with sonographic EFW ≥ 3,800 and < 3,800 g. Larger EFW increased CD risk among pregnancies with actual neonatal macrosomia. Antenatally suspected macrosomia might alter labor management due to concerns for potential complications, especially when associated with primiparity, diabetes mellitus, or maternal obesity. The increase in the CD rate did not show an association with improved maternal and neonatal outcomes. · Antenatally suspected macrosomia might alter labor management due to concerns about complications.. · Larger EFW increased cesarean delivery risk among pregnancies with actual neonatal macrosomia.. · The increase in the cesarean delivery rate was not associated with improved outcomes..

Pregnancy outcomes and complications after renal transplantation

Introduction. Chronic kidney disease (CKD) in pregnancy poses certain risks of both gestational complications and adverse perinatal outcomes, which increase with the decline of renal function.Aim to access pregnancy outcomes in patients who underwent nephrotransplantation.Materials and methods. Retrospective study of pregnant women who gave birth at Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology in the period from 2005 to 2021: 102 pregnancies in 97 patients were analyzed: five recipients had two successful pregnancies.Results. The average age of pregnant women was 31 ± 4.03 years. In equal proportions, patients underwent related or cadaveric kidney transplantation – 52% (n = 53) and 48% (n = 49) of cases, respectively. The average delivery time was 35.5 ± 2.7 weeks. The average weight of newborns was 2545 ± 655 grams. Premature birth (PB) occurred in 47.1%, the average period of birth was 33.4 ± 2.87 weeks, of which early birth (&lt;32 weeks) was 22.5%. The average period of pregnancy after transplantation was 5 ± 3.31 (1–18) years, this period was not associated with obstetric complications or deterioration of graft function. A significant increase in the following parameters was noted during pregnancy: serum creatinine level (p = 0.006), proteinuria (p = 0.003). The glomerular filtration rate also decreased significantly by the end of pregnancy (p = 0.011). Preeclampsia was the leading cause of decreased graft function during pregnancy (32.4%).Conclusions. In general, pregnancy outcomes after nephrotransplantation are favorable, but there is an increased risk of preeclampsia, preterm birth, including operative delivery, urinary tract infection and anemia.

Appraisal of clinical practice guidelines and consensus statements on obstetric anaesthesia: a systematic review using the AGREE II instrument

ObjectivesDespite the publication of hundreds of trials on obstetric anaesthesia, the management of these conditions remains suboptimal. We aimed to assess the quality and consistency of guidance documents for obstetric...

Comparing Clark’s 2017 Category II Electronic Fetal Monitoring Algorithm to Actual Management When Umbilical Cord Arterial pH Was Less Than 7 [ID 2683452

INTRODUCTION: Our previously published study reported that, in only 47% of labors resulting in a baby with severe acidemia (defined as umbilical cord arterial pH less than 7), intrapartum electronic fetal monitoring (EFM) was interpreted as concerning, with delivery expedited. We compared Clark’s EFM Category II algorithm to EFM interpretation and actual management of these deliveries. METHODS: Institutional review board approval was obtained. A retrospective cohort study was performed on deliveries with umbilical cord arterial pH less than 7. Two groups were identified in actual management: 1) expedited delivery (urgent/emergent operative vaginal delivery or cesarean section) and 2) nonexpedited delivery. We then reviewed all fetal heart tracings (FHTs) to determine whether the algorithm would have recommended expedited delivery or not. Data were analyzed using chi-squared test for independence and Fisher's exact test. RESULTS: Thirty deliveries were identified with severe fetal acidemia. Forty-seven percent were delivered in expedited fashion. The Clark algorithm recommended expedited delivery in 30%. The algorithm was not applicable to 3 out of 30 deliveries. Of actually expedited deliveries, the algorithm agreed with expediting 75% of the time, 78% of which should have been delivered even earlier. Of actually nonexpedited deliveries, the algorithm would have only expedited 7% of those. CONCLUSION: The Clark 2017 Category II FHT algorithm had a lower sensitivity for predicting severe fetal acidemia and recommending expedited delivery. Although only 47% of babies with severe acidemia were delivered in expedited fashion, the Clark algorithm would only have expedited delivery in 30% overall.

Community-based person-centred integrated care (PIC) networks for healthy ageing in place: a scoping review protocol

IntroductionThe economic case for preventive care delivered in or near citizens’ homes is strong, and there is growing evidence of the role of local-level support in supporting people’s health and...

Turbo Traverse Dispatch Delivery Assistant Cannibalizing Routing Algorithm

This project aims to develop an innovative delivery bot system that leverages GPS navigation, a digital display, and OTP authentication to transform the delivery process. The system integrates advanced route planning algorithms with real-time GPS navigation to optimize delivery routes and ensure efficient package delivery. Additionally, a digital display enhances communication with recipients and bystanders. providing real-time updates and promoting brand visibility. The implementation of OTP authentication adds an extra layer of security, enabling secure confirmation of delivery receipt. Through the seamless integration of these components, the project aims to revolutionize delivery operations, enhance user experience, and set new standards for reliability and security in the delivery industry. A secured box delivery bot, powered by OTP, GPS, and Arduino, integrates cutting-edge technologies to guarantee the safety and efficiency of package delivery. With OTP, recipients authenticate their identity before accessing the secure box. GPS integration ensures accurate navigation, optimizing delivery routes for timely arrivals. Arduino serves as the control system, enabling seamless operation and sensor integration to enhance security and functionality. In sum, this innovative solution offers a dependable and secure approach to delivering packages to recipients.

Epidemiology of hyperglycemia during pregnancy in Ethiopia: prevalence, associated factors, and feto-maternal outcomes: systematic review and meta-analysis

BackgroundHyperglycemia in pregnancy (HIP) is a significant medical complication affecting pregnant women globally and is considered a public health burden due to the negative outcomes it can cause for both mother and infant. The aim of this systematic review and meta-analysis was to examine the prevalence, risk factors, and feto-maternal outcomes of HIP in Ethiopia.MethodsTo gather relevant information for this study, both published and unpublished studies were searched for in several major databases, including PubMed, Embase, HINARI, Web of Science direct, and Google Scholar, as well as other sources. The Joanna Briggs Institute (JBI) tool was used to evaluate the methodological quality of the findings from these studies. Data was then extracted and summarized using a template in Microsoft Excel software, and the extracted data was analyzed using Stata software version 16.0. If significant heterogeneity was found between studies, subgroup analyses were conducted to further examine the data.ResultEighteen studies were included in this systematic review and meta-analysis, involving a total sample size of 50,816 pregnant women in Ethiopia. The prevalence of HIP among pregnant women varied considerably across the primary studies, ranging from 0.4 to 26.2%. The pooled prevalence of HIP among pregnant women in Ethiopia was found to be 6.9% (95% C 2.2–11.6). Pregnant women with a family history of diabetes had 2.5 times higher odds of developing HIP compared to those without a family history of diabetes (OR = 2.49; 95% CI = 2.02, 2.96). However, there was no significant association found between HIP and maternal obesity (OR 2.31, 95% CI = 0.85, 3.78) or previous history of abortion (OR 3.89; 95% CI 0.85, 6.94). The common fetal outcomes associated with HIP were admission to the intensive care unit (46.2; 95% CI 27.4, 65.1), macrosomia (27.3%; 95% CI 9.4%, 45.1%), and preterm birth (16.9; 95% CI 12.5, 21.3). Additionally, hypertensive disorders of pregnancy (28.0%; 95% CI 15.2, 40.8) and operative delivery (51.4%; 95% CI 35.9, 66.8) were more common among women with HIP in Ethiopia.ConclusionAlthough there was some variation between studies, the meta-analysis revealed that approximately seven out of 100 pregnant women in Ethiopia had HIP. A family history of diabetes was found to be a significant predictor of HIP in Ethiopia. Additionally, HIP was associated with various serious adverse outcomes for both mothers and infants in Ethiopia. These findings highlight the need for national guidelines to ensure that pregnant women are uniformly screened for HIP.