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Determinants of obstructed labour and its adverse outcomes among women who gave birth in Hawassa University referral Hospital: A case-control study

  • Melaku Desta ,

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Resources, Software, Validation, Visualization, Writing – original draft

    Melakd2018@gmail.com

    Affiliation Department of Midwifery, College of Health Science, Debre Markos University, Debre Markos, Ethiopia

  • Zenebe Mekonen,

    Roles Conceptualization, Methodology, Project administration, Resources, Supervision, Writing – review & editing

    Affiliation Department of Obstetrics and Gynecology, School of Medicine, Hawassa University, Hawassa, Ethiopia

  • Addisu Alehegn Alemu,

    Roles Data curation, Investigation, Methodology, Project administration, Supervision, Writing – review & editing

    Affiliation Department of Midwifery, College of Health Science, Debre Markos University, Debre Markos, Ethiopia

  • Minychil Demelash,

    Roles Conceptualization, Funding acquisition, Investigation, Methodology, Supervision, Writing – review & editing

    Affiliation Department of Midwifery, College of Health Science, Wachamo University, Wachamo, Ethiopia

  • Temesgen Getaneh,

    Roles Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing – review & editing

    Affiliation Department of Midwifery, College of Health Science, Debre Markos University, Debre Markos, Ethiopia

  • Yibelu Bazezew,

    Roles Conceptualization, Data curation, Methodology, Resources, Software, Supervision, Writing – review & editing

    Affiliation Department of Midwifery, College of Health Science, Debre Markos University, Debre Markos, Ethiopia

  • Getachew Mullu Kassa,

    Roles Data curation, Funding acquisition, Supervision, Validation, Writing – review & editing

    Affiliation Department of Midwifery, College of Health Science, Debre Markos University, Debre Markos, Ethiopia

  • Negash Wakgari

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Supervision, Visualization, Writing – review & editing

    Affiliation Department of Midwifery, College of Medicine and Health Science, Ambo University, Ambo, Ethiopia

Abstract

Background

Globally, obstructed labour accounted for 22% of maternal morbidities and up to 70% of perinatal deaths. It is one of the most common preventable causes of maternal and perinatal mortality in low-income countries. However, there are limited studies on the determinants of obstructed labor in Ethiopia. Therefore, this study was conducted to assess determinants and outcomes of obstructed labor among women who gave birth in Hawassa University Hospital, Ethiopia.

Methods

A hospital-based case-control study design was conducted in Hawassa University Hospital among 468 women. All women who were diagnosed with obstructed labour and two consecutive controls giving birth on the same day were enrolled in this study. A pretested data extraction tool was used for data collection from the patient charts. Multivariable logistic regression was employed to identify determinants of obstructed labor.

Results

A total of 156 cases and 312 controls were included with an overall response rate of 96.3%. Women who were primipara [AOR 0.19; 95% CI 0.07, 0.52] and multigravida [AOR 0.17; 95% CI 0.07, 0.41] had lower odds of obstructed labour. While contracted pelvis [AOR 3.98; 95% CI 1.68, 9.42], no partograph utilization [AOR 5.19; 95% CI 1.98, 13.6], duration of labour above 24 hours [AOR 7.61; 95% CI 2.98, 19.8] and estimated distance of 10 to 50 kilometers from the hospital [AOR 3.89; 95% CI 1.14, 13.3] had higher odds. Higher percentage of maternal (65.2%) and perinatal (60%) complications occurred among cases (p-value < 0.05). Obstructed labour accounted for 8.3% of maternal deaths and 39.7% of stillbirth. Uterine rupture, post-partum haemorrhage and sepsis were the common adverse outcomes among cases.

Conclusion

Parity, contracted pelvis, non-partograph utilization, longer duration of labour and longer distance from health facilities were determinants of obstructed labour. Maternal and perinatal morbidity and mortality due to obstructed labour are higher. Therefore, improvement of partograph utilization to identify complications early, birth preparedness, complication readiness and provision of timely interventions are recommended to prevent such complications.

Background

Globally, more than 303,000 women die every year from pregnancy and childbirth-related causes. Millions of women also suffer from complications related to pregnancy and childbirth like haemorrhage, hypertensive disorders and obstructed labor. For example, in 2015, direct obstetric causes of maternal mortality (MM) accounted for about 86% of all maternal deaths globally [1, 2]. One of the direct obstetric causes of MM is obstructed labour (OL), which is the failure of descent of the fetus in the birth canal for mechanical reasons despite good uterine contractions [3].

Obstructed labour is one of the leading causes of maternal and perinatal morbidity and mortality. Despite a rapid drop in global maternal death in the last decades, obstructed labour is still considered a significant challenge [2, 4]. It has a negative economic impact in developing countries due to long hospitalization and scarce resources budgeted for the healthcare system [1, 57]. Obstructed labour affects 3 to 6% of labouring women in developing countries [8].

Obstructed labour is responsible for 22% of obstetrical complications, 9% of all maternal deaths in low- and middle-income countries (LMICs). In sub-Saharan Africa (SSA) countries, OL is responsible for 24% of maternal deaths. It is also associated with 9% of maternal and perinatal mortality [9]. The burden of OL in Ethiopia is estimated to be 11.79% [10]. However, the prevalence varies across different regions, 46% in Debre Markos hospital [11], 17.5% in Tigray region [12] and 9.6% in Adama hospital, Oromia region [13]. In Ethiopia, OL is associated with 17% of maternal death and 38.08% of still birth based on recent study [14] and 36% of maternal death when combined with uterine rupture [15]. As the result, the issue of OL and maternal and perinatal survival was one of the main focuses of Sustainable Development Goals (SDGs) [16].

Many of the morbidities and deaths due to obstructed labour are preventable and treatable. However, studies showed that the burden of obstructed labour and its adverse maternal and perinatal outcomes appear to be high and remain a common challenge in Ethiopia [13, 1723]. Different studies conducted across the countries showed that there were different determinants of obstructed labor such as, maternal age, maternal residence, women’s education status, women’s occupational status [24], distance from the hospital /health center, parity, antenatal visit, weeks of gestation at the first visit of antenatal care [24], age at first birth, fetal presentation, history of pregnancy-related complications and birth weight [13, 19, 25].

Therefore, identification of determinants and outcomes of obstructed labour is essential for the reduction of morbidities and mortality associated with OL. There are limited studies conducted in Ethiopia on the determinants of OL and its adverse outcomes. Therefore, this study was conducted to assess the determinants and adverse outcomes of obstructed labour in Hawassa University comprehensive specialized hospital, Southern Ethiopia.

Methods

Study design, setting and population

Unmatched case-control study was conducted in Hawassa University Comprehensive Specialized Hospital (HUCSH), Hawassa city, the capital of Southern Nations Nationalities and People’s Region (SNNPR). Hawassa city is located 275 km south of Addis Ababa (capital city of Ethiopia). HUCSH is one of the largest hospitals in the region and serves as a specialized and teaching hospital. The hospital is offering a full range of comprehensive emergency obstetric care services. The average numbers of births were around 12,456 in the 3 years period from January 1, 2015, to August 31, 2017.

All women who gave birth in HUCSH in the last 3 years before the data collection period were considered as a source population. Whereas, randomly selected women who gave birth in the last 3 years and fulfilled the inclusion criteria were the study population. Cases were women who were diagnosed to have OL by the most senior person (resident and obstetrician), and controls were women who had no obstructed labour in the hospital on the same day as enrolled cases regardless of their mode of delivery. All women who gave birth after 28 weeks of gestation or weight of at least 1000 gm were included in the study. Cases and controls were selected after reviewing of women’s chart, delivery logbook and operation notes. However, women who gave birth with a scheduled cesarean section were not included in this study.

Sample size and sampling procedure

Openepi version 3.01 software was used to calculate the 3 sample size using double population proportion formula, on the assumption of case to control ratio of 1:2, 95% confidence level, Power of 80% and least extreme odds ratio of 2.00 and the sample size is calculated based on for the first objective/ determinants by considering rural resident as determinant factor of OL according to a study done in Ethiopia making the calculated sample size was 329, but by considering 10% nonresponse rate, 363 sample size was estimated. For the adverse maternal and perinatal outcomes, a study done in Uganda [26] as maternal complication and perinatal mortality as adverse birth outcome of OL was used, making the largest sample size of 486 sample (S1 File). Thus, his study included a total of 486 women (162 women for cases and 324 women for controls). For cases, the delivery chart of women who gave birth in the hospital in the last three years was randomly selected. For controls, two women were selected after each case. All women’s charts were retrieved from the hospital record office and were cross-checked with the delivery logbook and operating theatre registers.

Variables and measurements

The dependent variable of this study was obstructed labour. Whereas, the independent variables were categorized as socio-demographic factors, obstetric, health facility and fetal factors. The sociodemographic factors included in this study were age, residency and specific district), and obstetrical factors were parity, previous cesarean section, previous stillbirth, antenatal care utilization, gestational age, membrane status and pelvic status. Health facility factors included were partograph follow up, distance from the health facility, duration of labour and source of referral. Fetal factors include were malpresentation, malposition, and weight of the newborn.

Obstructed labour is the failure of descent of the fetus in the birth canal for mechanical reasons despite good uterine contractions [3]. In addition, the inadequate pelvis was diagnosed when the medical team leader (the residents or obstetricians and gynaecologists) assessed the labouring woman and confirms as feto-pelvic disproportion secondary to the contracted pelvis. A contracted pelvis is defined as a pelvis in which one or more of the pelvic diameters are reduced below the normal and that can interfere with the normal mechanism of labour. It is diagnosed using internal pelvimetry such as the sacral promontory is felt easily, or interspinous diameter is touched by 2 examining fingers simultaneously, or bituberous diameter cannot admit the closed fist of the hand or the ischial spines is prominent or the coccyx is not mobile.

Data collection procedure and quality control

Data were collected by using a pretested data extraction tool by reviewing the obstetric records of women who gave birth. Admission history, labour follow up sheet, delivery summary, antenatal care (ANC) follow up sheet and operation notes were used. The data extraction tool was adapted from different related kinds of literatures [18, 21], and was modified to assess the determinants and adverse outcomes of obstructed labour. The questionnaire was prepared in the English language. Two days of training were given for the data collectors and supervisors on the objectives of the study and ways of data collection. Five BSc midwives as data collectors and one MSc Clinical midwife supervisor were recruited in this study. Collected data were checked on daily for completeness and consistency. Three days of training were given for the data collectors and supervisors, focusing on the objective of the study and data collection process.

Data processing and analysis

Data were checked, cleared and entered on Epi Data version 3.1 software and exported to Statistical Package for Social Science (SPSS) software version 20 for further analysis. The proportion of the cases and controls were computed. Variables in bivariable logistic regression with p-value < 0.25 were entered into multivariable logistic regression. Model fitness was checked using Hosmer and Lemeshow goodness of fit test statistics, and it showed that the model was fitted, p-value = 0.46. After the regression analysis, variables with a p-value < 0.05 were used as statistically significant factors and odds ratio (OR) with 95% confidence interval (CI) were used to measure the strength of association. Maternal and perinatal outcomes of obstructed labour were also examined.

Results

Sociodemographic and prenatal characteristics

A total of 156 out of 162 cases (96.3% and 312 out of 324 controls (96.3%) were included. The Mean age of the women was 26.9 years (SD ± 5.6). In addition, 64% of cases and 217 (69.6%) of controls were in the age group of 20–34 years. Almost 77% of cases and 56.1% of controls reside outside Hawassa. Similarly, 59% of cases were Oromo ethnic group, and fifty-nine (37.8%) of cases were grand-multiparous. Likewise, 66% of cases and 236 (76.4%) of controls had antenatal care visits during the current pregnancy (Table 1).

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Table 1. Sociodemographic and antenatal characteristics of women who gave birth in HUCSH from 2015–2017.

Sociodemographic and prenatal characteristics of participants in HUCSH, 2018.

https://doi.org/10.1371/journal.pone.0268938.t001

Intrapartum, fetal and health facility-related characteristics

Twenty eight percent of cases had contracted pelvis and 124 (91.1%) of cases had ruptured membranes during labour after admission to the hospital. The progress of labour among 62 (39.7%) of cases and 87 (27.9%) of controls were not monitored using partograph. Nearly 58% of cases were admitted to the hospital for more than 24 hours during labour. Seventy-four (47%) of cases were referred to the hospital from other health institutions and 121 (38.8%) of controls were self-referred (Table 2). Cephalopelvic disproportion (38.5% vs. 11.5%) and malpresentation (32.3% vs. 19.9%) were common among cases than controls, respectively. Similarly, 59% of cases and 33.6% of controls were delivered through cesarean section, and 35.9% of cases were delivered by laparatomy (Fig 1). During laparotomy, total abdominal hysterectomy (TAH) was done for 39 (25.7%) of the cases, subtotal hysterectomy was performed for 3 (2%) of cases, and 6 (3.9%) of the cases had uterine repair with bilateral tubal ligation (BTL).

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Fig 1. Management options of obstructed labour in HUCSH, Ethiopia 2018.

https://doi.org/10.1371/journal.pone.0268938.g001

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Table 2. Intrapartum and health facility factors of obstructed labour among women who gave birth in HUCSH from 2015–2017.

Intrapartum, and health facility characteristics of obstructed labour in HUCSH, 2018.

https://doi.org/10.1371/journal.pone.0268938.t002

Determinants of obstructed labour

In bivariate analysis, 11 variables were significant and were fitted for multivariable logistic regression with a p-value of < 0.25. After controlling of confounding effect, only 6 variables (parity, pelvic status, partograph utilization, delay of seeking care and estimated distance from the facility) were the significant determinants of OL (Table 3). Primiparous women were 81% times [AOR = 0.19, 95% CI: 0.07, 0.52] and multigravida women were 83% times [AOR = 0.17, 95% CI: 0.07, 0.41] less likely to have OL than grand multiparous women. Similarly, women who had contracted pelvis were about 4 times more likely to have the chance of obstructed labour than those who had adequate pelvis [AOR = 3.98, 95% CI: 1.68, 9.42]. Moreover, women whose progress of labour was not monitored with partograph were five times more likely to encounter OL than their counterparts [AOR = 4.93, 95% CI: 0.76, 13.7]. The odds of OL was 7.61 times [AOR = 7.61, 95% CI: 2.98, 19.8] higher among women who had a longer duration of labour (> 24 hrs) before reaching the hospital than those reaching the hospital < 12 hours. The odds of OL were 3.89 times more likely among women who reside within 10–50 kilometers estimated distance from the facility than those who reside below 10 kilometers distance [AOR = 3.89, 95% CI: 1.14, 13.3].

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Table 3. Determinants of obstructed labour in Hawassa referral Hospital, among women who gave birth in HUCSH from 2015–2017.

Determinants of obstructed labour in HUCSH, southern Ethiopia, 2018.

https://doi.org/10.1371/journal.pone.0268938.t003

Maternal and perinatal adverse outcomes of obstructed labour

Almost 65% of women who had OL developed at least one form of maternal complications when compared with 56 (17.9%) among women who had no obstructed labour, which accounts for 8.3% of the case fatality ratio (p-value < 0.05). The most common morbidities among women who had OL were long hospital admission (48.9%), uterine rupture (38.5%), post-natal anemia (37.8%), PPH (29.5%) and sepsis (14%), p-value < 0.05. A perinatal complication occurred among 60% of cases and 40% of the controls. Of those, 39.7% of cases and 19.6% of controls had stillbirths, and 20.6% of cases and 23% of the controls had a low Apgar score (Table 4).

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Table 4. Maternal and perinatal outcomes of obstructed labour in Hawassa University specialized Hospital, Southern Ethiopia.

Maternal and perinatal outcomes of obstructed labour in Hawassa University specialized Hospital, Southern Ethiopia.

https://doi.org/10.1371/journal.pone.0268938.t004

Discussion

The study assessed the determinants of obstructed labour and its adverse outcomes in southern Ethiopia. Accordingly, different factors that affect the occurrence of obstructed labour were identified. Lower birth order was a protective factor of obstructed labour. In contrary to this finding, previous studies done in Nigeria [27], Rwanda [28], Uganda [26] and Sudan [29] revealed that primiparity was associated with OL. A study conducted in LMICs [30] also showed that gravidity ≥ 2 was protective of OL. This variation might be due to socio-demographic differences and more risk of malpresentation and malposition among primigravida women. Moreover, those women who have lower gravidity may utilize maternal health services than grand multipara women. Hence, women with lower birth order utilize skilled birth attendants earlier than women who had higher birth order and this could consequently improve the health care seeking ability of the woman to prevent obstructed labour. Additionally, it might be also due to higher odds of obesity and macrosomia among women with higher birth order due to decreased levels of physical activity and higher energy intake [3134]. Moreover, obesity could directly increase the risk of fetal macrosomia [32, 3537].

Women who had contracted pelvis were more likely to develop OL than women with the adequate pelvis. This finding is supported by other studies [38, 39]. This might be due to mechanical obstruction of the passage of the fetus due to an ill fit between maternal pelvic dimensions and neonatal size at delivery and poor fetal head-to-cervix contact. This might be due to the high burden of malnutrition in childhood in Oromia and SNNPR [40, 41]. Stunting causes a small, flattened pelvis, and being obese in the later life and development of her offspring, might make OL genetically predisposed [42]. Hence, improvements in maternal and child nutrition are essential to prevent OL and improve reproductive outcomes [4345].

This study also showed that the absence of partograph utilization was significantly increased OL. This is supported by different studies in Ethiopia [19, 25]. This might because partograph helps the health care provider in identifying the slow progress of labour and provides an early warning system for early referral and may also help to initiate appropriate interventions. Hence, proper partograph utilization improves labour outcomes and reduces obstructed labour [4649]. The study also demonstrated that the odds of OL were higher among women with longer duration of labour (more than 24 hours) before arrival to the health facility than women with shorter duration (less than 12 hours). This finding is consistent with the study done in Oromia, Ethiopia [13]. This might be due to the fact that delay of health-seeking care is known factor of OL due to absence of appropriate timely interventions of prolonged labour or abnormal labor.

In addition, the study also indicated that the higher odds of obstructed labour among women who reside within 10–50 kilometers compared to those who reside below 10 kilometers. This finding is in line with studies done in Tanzania [50] and Ethiopia [24, 25]. This might be due to the fact that women living close to hospitals get life-saving obstetric information and services in labour earlier, reduce delays from referral and treatment, and reduce maternal morbidity.

The study also assessed the adverse maternal and perinatal outcomes among cases and controls. Accordingly, nearly two-thirds of women with OL encountered at least one form of adverse maternal outcomes. This finding is higher than studies done in Nigeria [27], Uganda and Mizan Tepi, Ethiopia [51]. The possible variation might be due to delays in referral and treatment of OL, prolonged labour, study setting, sample size and methodological differences between the studies. However, the finding of this study is lower than studies done in Bangladesh [52], India [53, 54], Suhul hospital, Ethiopia [20], and Metu Karl hospital, Ethiopia [18]. This might be due to the commitment of the hospital to improve maternal healthcare provision, safe surgery with the senior obstetrician and EMONC service.

Besides, this study showed that OL resulted in 8.3% of maternal deaths among cases. This figure is higher than a study done in India, [53, 54], Uganda, [26], Sudan, [29], Nigeria, [55], Tanzania, 2% [50], Bangladesh, [52] and Ethiopia, [20]. However, the findings of the current study were lower than a similar study in Sudan, [56]. This might be due to the high burden of morbidity (uterine rupture, severe anaemia, postpartum haemorrhage and sepsis) among cases, delay in referral and treatment and variation in the study setting. Because the current study was conducted in a tertiary hospital and the number of referred cases may be higher. Moreover, improved diagnosis, transfer, and treatment for OL reduce the rate of maternal mortality [57] by preventing the progression of prolonged labour to OL. Additionally, one-third of women with cases did not get ANC service, therefore, prevents getting birth preparedness and complication readiness (BPCR) intervention. Previous studies conducted in Ethiopia also showed a low percentage of BPCR in Oromia, [58] and SNNPR, [59].

Uterine rupture was also the commonest adverse maternal outcome among cases in the current study than controls. This could be because of prolonged duration of labour, higher previous cesarean section and multiparty among cases than controls. Moreover, above half of women with cases had a longer duration of labour above 24 hours, 34% had previous CS and 56% of women were multiparous in the current study. As the duration of labour increases, the uterus becomes exhausted and the uterine muscle loses its integrity mainly for multiparous and previous CS. This leads to uterine rupture when the condition is exacerbated by a delay in receiving care due to a longer distance from clinical facilities. This is supported by other studies in 40 low-income countries [9], Ethiopia [1820, 60], Uganda [26] and Sudan [29]. Postpartum anemia is higher in case of obstructed labour due to antepartum and postpartum haemorrhage when it is encountered with uterine rupture [60].

Furthermore, the findings of this study showed that stillbirth was the commonest adverse perinatal outcome among cases (39.7%). This is in line with studies done in Suhl Hospital, Ethiopia [20], Metu Karl hospital, Ethiopia [18] and Sudan [29]. This is likely attributed to difficulties in delivering the fetus during caesarean section. Because the fetal head is impacted in the pelvis and needs a longer operation time. The highest proportion of maternal morbidity, intrapartum asphyxia, delay of referral and lower ANC visit, limited BPCR results in adverse perinatal outcomes. Hence, stillbirth is related with maternal morbidity [6163] and mortality [64, 65]. But, it is lower than studies done in Pakistan [66] and Ethiopia [19]. This might be due to variation in the study setting, study period and improvements of the care provision. Thus, the provision of a timely maternal and perinatal continuum of care should be an area of improvement to reduce stillbirth.

The study has certain strengths and limitations. Due to the use of a case-control study design, the study was able to determine causal relations between the outcome variable and independent variables and included a relatively larger sample size. However, the findings of this study should be interpreted with some inevitable limitations. The retrospective nature of the study might prevent data collection for some variables like educational level, type of delays, socioeconomic status, nutritional status, and infrastructure of the health facilities as these variables were not registered in women’s obstetric cards. There might be also subjectivity in the diagnosis of OL and in estimating distance from home to health facility. Additionally, the study might underestimate adverse perinatal outcomes. Because, the study was unable to assess some perinatal outcomes mainly neonatal death due to neonatal intensive care unit (NICU) admission and after discharge.

Conclusions

Parity, contracted pelvis, partograph utilization, duration of labour and longer distance from the health facility was significantly associated with obstructed labour. Obstructed labour increased maternal and perinatal morbidity and mortality. Prolonged admission, uterine rupture, post-partum haemorrhage and sepsis were the commonest adverse outcomes of obstructed labour. Encouraging the use of family planning, improving partograph utilization, birth preparedness and complication readiness plan, early referral, diagnosis of OL is recommended. Additionally, community mobilization on the need of complication readiness plan and training for healthcare providers on prevention of obstructed labour at all health facilities is essential.

Supporting information

S1 File. The sample size determination for determinants and adverse outcomes of obstructed labour.

https://doi.org/10.1371/journal.pone.0268938.s001

(DOCX)

S2 File. The STROBE statement for determinants of obstructed labour.

https://doi.org/10.1371/journal.pone.0268938.s002

(DOCX)

Acknowledgments

Authors are thankful for HUCSH workers.

References

  1. 1. Kassebaum NJ, Barber RM, Bhutta ZA, Dandona L, Gething PW, Hay SI, et al. Global, regional, and national levels of maternal mortality, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. The Lancet. 2016;388(10053):1775–812.
  2. 2. Petersen EE, Davis NL, Goodman D, Cox S, Mayes N, Johnston E, et al. Vital signs: pregnancy-related deaths, United States, 2011–2015, and strategies for prevention, 13 states, 2013–2017. Morbidity and Mortality Weekly Report. 2019;68(18):423. pmid:31071074
  3. 3. Ali A, Masakhwe BA. WHO midwifery education module 3 Managing prolonged and obstructed labour. Training Course in Sexual and Reproductive Health Research. 2010.
  4. 4. Group EW. Strategies toward ending preventable maternal mortality (EPMM). Geneva: World Health Organization. 2015.
  5. 5. Hofmeyr GJ, Haws RA, Bergström S, Lee AC, Okong P, Darmstadt GL, et al. Obstetric care in low-resource settings: what, who, and how to overcome challenges to scale up? International Journal of Gynecology & Obstetrics. 2009;107:S21–S45.
  6. 6. management of labour and obstructed labour: The alarm international program, 4 th edition 2015 http://GLOWN.COM. In: Internationa Federation of Obstetricain and gynecologist manual [Internet]. accessed June 25, 2017, (2015).
  7. 7. Alkire BC, Vincent JR, Burns CT, Metzler IS, Farmer PE, Meara JG. Obstructed labor and caesarean delivery: the cost and benefit of surgical intervention. PloS one. 2012;7(4):e34595. pmid:22558089
  8. 8. Black RE, Levin C, Walker N, Chou D, Liu L, Temmerman M, et al. Reproductive, maternal, newborn, and child health: key messages from disease control priorities 3rd edition. The Lancet. 2016;388(10061):2811–24.
  9. 9. Bailey PE, Andualem W, Brun M, Freedman L, Gbangbade S, Kante M, et al. Institutional maternal and perinatal deaths: a review of 40 low and middle income countries. BMC Pregnancy Childbirth. 2017;17(1):295. Epub 2017/09/09. pmid:28882128; PubMed Central PMCID: PMC5590194.
  10. 10. Addisu D, Mekie M, Melkie A, Yeshambel A. Burden of obstructed labor in ethiopia: A systematic review and meta-analysis. Midwifery. 2021;95:102930. pmid:33581417
  11. 11. Gedefaw M, Gebrehana H, Gizachew A, Taddess F. Assessment of maternal near miss at Debre Markos referral hospital, Northwest Ethiopia: five years experience. Open Journal of Epidemiology. 2014;4(04):199.
  12. 12. Mekango DE, Alemayehu M, Gebregergs GB, Medhanyie AA, Goba G. Determinants of maternal near miss among women in public hospital maternity wards in northern Ethiopia: a facility based case-control study. PLoS One. 2017;12(9):e0183886. pmid:28886034
  13. 13. Gudina AT, Abebe TW, Gebremariam FA, Guto GJ. Magnitude of obstructed labor and associated risk factors among mothers come for delivery service in Adama Hospital Medical College, Oromia Regional State, Central Ethiopia. J Gynecol Obstet. 2016;4(3):12–6.
  14. 14. Ayenew AA. Incidence, causes, and maternofetal outcomes of obstructed labor in Ethiopia: systematic review and meta-analysis. Reproductive Health. 2021;18(1):61. pmid:33691736
  15. 15. Berhan Y, Berhan A. Causes of maternal mortality in Ethiopia: a significant decline in abortion related death. Ethiopian journal of health sciences. 2014;24:15–28. pmid:25489180
  16. 16. Nilsson M, Griggs D, Visbeck M. Policy: map the interactions between Sustainable Development Goals. Nature. 2016;534(7607):320–2. pmid:27306173
  17. 17. Aliyu S, Yizengaw T, Lemma T. Prevalence and associated factors of uterine rupture during labor among women who delivered in Debre Markos hospital north West Ethiopia. Intern Med. 2016;6(4):1000222.
  18. 18. Ahmed Y, Solomon L, Girma A. Prevalence and Management Outcome of Obstructed Labor among Mothers Who Gave Birth Between January, 2013 and December, 2015 in Metu Karl Referal Hospital, Ilu Ababora Zone, South West Ethiopia. EC Gynaecology 2017;4(4):126–33.
  19. 19. Fantu S, Segni H, Alemseged F. Incidence, causes and outcome of obstructed labor in jimma university specialized hospital. Ethiopian journal of health sciences. 2010;20(3). pmid:22434973
  20. 20. Ukke GG, Gudayu TW, Gurara MK, Amanta NW, Shimbre MS. Feto-maternal outcomes in obstructed labor in Suhul General Hospital, North Ethiopia. International Journal of Nursing and Midwifery. 2017;9(6):77–84.
  21. 21. Henok A, Asefa A. Prevalence of obstructed labor among mothers delivered in Mizan-Aman general hospital, South West Ethiopia: a retrospective study. Journal of Womens Health Care. 2015;4(5):2167–0420.1000250.
  22. 22. Liyew EF, Yalew AW, Afework MF, Essén B. Incidence and causes of maternal near-miss in selected hospitals of Addis Ababa, Ethiopia. PloS one. 2017;12(6):e0179013. pmid:28586355
  23. 23. Bayou G, Berhan Y. Perinatal mortality and associated risk factors: a case control study. Ethiopian journal of health sciences. 2012;22(3). pmid:23209349
  24. 24. Dile M, Demelash H, Meseret L, Abebe F, Adefris M, Goshu YA, et al. Determinants of obstructed labor among women attending intrapartum care in Amhara Region, Northwest Ethiopia: A hospital-based unmatched case–control study. Women’s Health. 2020;16:1745506520949727. pmid:32842920
  25. 25. Wube TT, Demissie BW, Assen ZM, Gelaw KA, Fite RO. Magnitude of obstructed labor and associated factors among women who delivered at public hospitals of Western Harerghe Zone, Oromia, Ethiopia. Clin Med Res. 2018;7(6):135–42.
  26. 26. Kabakyenga JK, Ostergren PO, Turyakira E, Mukasa PK, Pettersson KO. Individual and health facility factors and the risk for obstructed labour and its adverse outcomes in south-western Uganda. BMC pregnancy and childbirth. 2011;11:73. Epub 2011/10/15. pmid:21995340; PubMed Central PMCID: PMC3204267.
  27. 27. Bako B, Barka E, Kullima AA. Prevalence, risk factors, and outcomes of obstructed labor at the University of Maiduguri Teaching Hospital, Maiduguri, Nigeria. Sahel Medical Journal. 2018;21(3):117.
  28. 28. Kalisa R. Outcome of obstructed labor in Nort-west Rwanda, Unmatched Casa-control Study. American Journal of Public Health Research. 2016;4(5):191–5.
  29. 29. Ali AA, Adam I. Maternal and perinatal outcomes of obstructed labour in Kassala hospital, Sudan. Journal of obstetrics and gynaecology: the journal of the Institute of Obstetrics and Gynaecology. 2010;30(4):376–7. Epub 2010/05/12. pmid:20455721.
  30. 30. Harrison MS, Ali S, Pasha O, Saleem S, Althabe F, Berrueta M, et al. A prospective population-based study of maternal, fetal, and neonatal outcomes in the setting of prolonged labor, obstructed labor and failure to progress in low-and middle-income countries. Reproductive health. 2015;12(S2):S9.
  31. 31. Onubi OJ, Marais D, Aucott L, Okonofua F, Poobalan AS. Maternal obesity in Africa: a systematic review and meta-analysis. Journal of Public Health. 2016;38(3):e218–e31. pmid:26487702
  32. 32. Aimukhametova G, Ukybasova T, Hamidullina Z, Zhubanysheva K, Harun-Or-Rashid M, Yoshida Y, et al. The impact of maternal obesity on mother and neonatal health: study in a tertiary hospital of Astana, Kazakhstan. Nagoya journal of medical science. 2012;74(1–2):83. pmid:22515114
  33. 33. Agbozo F, Abubakari A, Der J, Jahn A. Prevalence of low birth weight, macrosomia and stillbirth and their relationship to associated maternal risk factors in Hohoe Municipality, Ghana. Midwifery. 2016;40:200–6. pmid:27474932
  34. 34. Said AS, Manji KP. Risk factors and outcomes of fetal macrosomia in a tertiary centre in Tanzania: a case-control study. BMC pregnancy and childbirth. 2016;16(1):243.
  35. 35. Kalliala I, Markozannes G, Gunter MJ, Paraskevaidis E, Gabra H, Mitra A, et al. Obesity and gynaecological and obstetric conditions: umbrella review of the literature. bmj. 2017;359:j4511. pmid:29074629
  36. 36. Koyanagi A, Zhang J, Dagvadorj A, Hirayama F, Shibuya K, Souza JP, et al. Macrosomia in 23 developing countries: an analysis of a multicountry, facility-based, cross-sectional survey. The Lancet. 2013;381(9865):476–83. pmid:23290494
  37. 37. Cunha A, Toro M, Gutiérrez C, Alarcón-Villaverde J. Prevalence and associated factors of macrosomia in Peru, 2013. Revista peruana de medicina experimental y salud pública. 2017;34(1):36. pmid:28538844
  38. 38. Wells JC. The new “obstetrical dilemma”: stunting, obesity and the risk of obstructed labour. The Anatomical Record. 2017;300(4):716–31. pmid:28297186
  39. 39. Abraham W, Berhan Y. Predictors of labor abnormalities in university hospital: unmatched case control study. BMC pregnancy and childbirth. 2014;14(1):256. pmid:25086729
  40. 40. Endris N, Asefa H, Dube L. Prevalence of malnutrition and associated factors among children in rural Ethiopia. BioMed research international. 2017;2017. pmid:28596966
  41. 41. Wolde T, Belachew T, Birhanu T. Prevalence of undernutrition and determinant factors among preschool children in Hawassa, Southern Ethiopia. Prevalence. 2014;29.
  42. 42. Mitteroecker P, Windhager S, Pavlicev M. Cliff-edge model predicts intergenerational predisposition to dystocia and Caesarean delivery. Proceedings of the National Academy of Sciences. 2017;114(44):11669–72. pmid:29078368
  43. 43. Bhutta ZA, Das JK, Rizvi A, Gaffey MF, Walker N, Horton S, et al. Evidence-based interventions for improvement of maternal and child nutrition: what can be done and at what cost? The lancet. 2013;382(9890):452–77.
  44. 44. Black RE, Allen LH, Bhutta ZA, Caulfield LE, De Onis M, Ezzati M, et al. Maternal and child undernutrition: global and regional exposures and health consequences. The lancet. 2008;371(9608):243–60. pmid:18207566
  45. 45. Konje JC, Ladipo OA. Nutrition and obstructed labor. The American journal of clinical nutrition. 2000;72(1):291S–7S. pmid:10871595
  46. 46. Lavender T, Cuthbert A, Smyth RM. Effect of partograph use on outcomes for women in spontaneous labour at term and their babies. Cochrane Database of Systematic Reviews. 2018;(8).
  47. 47. Mathai M. The partograph for the prevention of obstructed labor. Clinical obstetrics and gynecology. 2009;52(2):256–69. pmid:19407533
  48. 48. Gans-Lartey F, O’Brien BA, Gyekye FO, Schopflocher D. The relationship between the use of the partograph and birth outcomes at Korle-Bu teaching hospital. Midwifery. 2013;29(5):461–7. pmid:23146139
  49. 49. Dangal G. Preventing prolonged labor by using partograph. Int J Gynecol Obstet. 2006;7(1):1–4.
  50. 50. Hanson C, Cox J, Mbaruku G, Manzi F, Gabrysch S, Schellenberg D, et al. Maternal mortality and distance to facility-based obstetric care in rural southern Tanzania: a secondary analysis of cross-sectional census data in 226 000 households. The Lancet Global Health. 2015;3(7):e387–e95. pmid:26004775
  51. 51. Shewasinad S, Mohammed E, Yeneneh G, Musie M. Assessment of Magnitude and Factors Contributing to Obstructed Labor among Mothers Delivered in Mizan-Tepi University Teaching Hospital, Bench-Maji Zone, SNNPR, Ethiopia Global Journal of Reproductive Medicine. 2017;2(4).
  52. 52. Islam ja, ara, g. & choudhury f. r,. Risk Factors and Outcome of Obstructed Labour at a tertiary care Hospital. Journal of Shaheed Suhrawardy Medical College. 2012;4:43–6.
  53. 53. Soren M, Patnaik R, Mishra S. MATERNAL AND PERINATAL OUTCOME IN OBSTRUCTED LABOUR. INDIAN JOURNAL OF APPLIED RESEARCH. 2018;8(2).
  54. 54. Mohapatra S, Patel J. Maternal and Perinatal Outcome in Obstructed Labour. Age. 20:20–30.
  55. 55. Nwogu-Ikojo E, Nweze S, Ezegwui H. Obstructed labour in Enugu, Nigeria. Journal of Obstetrics and Gynaecology. 2008;28(6):596–9. pmid:19003653
  56. 56. Mohammed AA, Elnour MH, Mohammed EE, Ahmed SA, Abdelfattah AI. Maternal mortality in Kassala State-Eastern Sudan: community-based study using reproductive age mortality survey (RAMOS). BMC pregnancy and childbirth. 2011;11(1):102. pmid:22171988
  57. 57. Harrison MS, Griffin JB, McClure EM, Jones B, Moran K, Goldenberg RL. Maternal mortality from obstructed labor: a MANDATE analysis of the ability of technology to save lives in sub-Saharan Africa. American journal of perinatology. 2016;33(09):873–81. pmid:27031054
  58. 58. Kaso M, Addisse M. Birth preparedness and complication readiness in Robe Woreda, Arsi Zone, Oromia Region, Central Ethiopia: a cross-sectional study. Reproductive health. 2014;11(1):55. pmid:25038820
  59. 59. Hailu M, Gebremariam A, Alemseged F, Deribe K. Birth preparedness and complication readiness among pregnant women in Southern Ethiopia. PloS one. 2011;6(6):e21432. pmid:21731747
  60. 60. Astatikie G, Limenih MA, Kebede M. Maternal and fetal outcomes of uterine rupture and factors associated with maternal death secondary to uterine rupture. BMC Pregnancy and Childbirth. 2017;17(1):117. pmid:28403833
  61. 61. Adeoye IA, Onayade AA, Fatusi AO. Incidence, determinants and perinatal outcomes of near miss maternal morbidity in Ile-Ife Nigeria: a prospective case control study. BMC pregnancy and childbirth. 2013;13(1):93. pmid:23587107
  62. 62. Nakimuli A, Mbalinda SN, Nabirye RC, Kakaire O, Nakubulwa S, Osinde MO, et al. Still births, neonatal deaths and neonatal near miss cases attributable to severe obstetric complications: a prospective cohort study in two referral hospitals in Uganda. BMC pediatrics. 2015;15(1):44. pmid:25928880
  63. 63. Souza JP, Cecatti JG, Faundes A, Morais SS, Villar J, Carroli G, et al. Maternal near miss and maternal death in the World Health Organization’s 2005 global survey on maternal and perinatal health. Bulletin of the World Health Organization. 2010;88:113–9. pmid:20428368
  64. 64. Kozuki N, Lee AC, Silveira MF, Sania A, Vogel JP, Adair L, et al. The associations of parity and maternal age with small-for-gestational-age, preterm, and neonatal and infant mortality: a meta-analysis. BMC public health. 2013;13(3):S2.
  65. 65. Aminu M, Unkels R, Mdegela M, Utz B, Adaji S, Van Den Broek N. Causes of and factors associated with stillbirth in low‐and middle‐income countries: a systematic literature review. BJOG: An International Journal of Obstetrics & Gynaecology. 2014;121:141–53.
  66. 66. Gupta R, Porwal SK. Obstructed labour: Incidence, causes and outcome. Int J Biol Med Res. 2012;3(3):2185–88.