Associations between intimate partner violence (IPV) and poor physical and mental health of women have been demonstrated in the international and national literature across numerous studies. This paper presents a review of the literature on this topic. The 75 papers included in this review cover both original research studies and those which undertook secondary analyses of primary data sources. The reviewed research papers published from 2006 to 2012 include quantitative and qualitative studies from Western and developing countries. The results show that while there is variation in prevalence of IPV across various cultural settings, IPV was associated with a range of mental health issues including depression, PTSD, anxiety, self-harm, and sleep disorders. In most studies, these effects were observed using validated measurement tools. IPV was also found to be associated with poor physical health including poor functional health, somatic disorders, chronic disorders and chronic pain, gynaecological problems, and increased risk of STIs. An increased risk of HIV was reported to be associated with a history of sexual abuse and violence. The implications of the study findings in relation to methodological issues, clinical significance, and future research direction are discussed.

Objective: Polycystic ovary syndrome (PCOS) affects 6-18% of women. The natural history of weight gain in women with PCOS has not been well described. Here we aimed to examine longitudinal weight gain in women with and without PCOS and to assess the association between obesity and PCOS prevalence. Design and Methods: The observational study was set in the general community. Participants were women randomly selected from the national health insurance scheme (Medicare) database. Mailed survey data were collected by the Australian Longitudinal Study on Women's Health. Data from respondents to survey 4, aged 28-33 years (2006, n ¼ 9,145) were analyzed. The main outcome measures were PCOS prevalence and body mass index (BMI). Results: Self-reported PCOS prevalence was 5.8% (95% CI: 5.3%-6.4%). Women reporting PCOS had higher weight, mean BMI [2.5 kg/m 2 (95% CI: 1.9-3.1)], and greater 10-year weight gain [2.6 kg (95% CI: 1.2-4.0)]. BMI was the strongest correlate of PCOS status with every BMI increment increasing the risk of reporting PCOS by 9.2% (95% CI: 6%-12%). Conclusions: This community based observational study with longitudinal reporting of weight shows that weight, BMI, and 10-year weight gain were higher in PCOS. We report the novel finding that obesity and greater weight gain are significantly associated with PCOS status. Considering the prevalence, major health and economic burden of PCOS, the increasing weight gain in young women, and established benefits of weight loss, these results have major public health implications.

In 1996 the Australian Longitudinal Study on Women's Health recruited a nationally representative sample of more than 40,000 women in three age cohorts, born in 1973-78, 1946-51 and 1921-26. At least six waves of 3-yearly surveys have been completed. Although the focus remains on factors affecting the health and well-being of women and their access to and use of health services across urban, rural and remote areas of Australia, the study has now been considerably expanded by linkage to other health data sets. For most women who have ever participated in the study, linked records are now available for: government-subsidized non-hospital services (e.g. all general practitioner visits); pharmaceutical prescriptions filled; national death index, including codes for multiple causes of death; aged care assessments and services; cancer registries; and, for most states and territories, hospital admissions and perinatal data. Additionally, a large cohort of women born in 1989-95 have been recruited. The data are available to approved collaborators, with more than 780 researchers using the data so far. Full details of the study materials and data access procedures are available at [http://www.alswh.org.au/].

Background In the context of high maternal morbidity and mortality in Sub-Saharan Africa, less than 80% of pregnant women receive antenatal care services. According to a 2016 national report, only 62% of pregnant women in Ethiopia made at least one antenatal care visit. The aim of this review was to systematically and quantitatively summarize the factors affecting utilization of antenatal care in Ethiopia. Methods We searched PubMed, Medline, EMBASE, CINAHL, Google Scholar and Maternity and Infant Care database for studies that had been conducted in Ethiopia between 2002 and 2016. We summarized the studies on the use of antenatal care services quantitatively and qualitatively. A random-effects model was conducted to obtain the pooled estimates. Results A total of fifteen observational studies were included in this review. The pooled prevalence of utilization of antenatal care services in Ethiopia was 63.77% (95CI 53.84–75.54). The pooled odds ratio showed that a significant positive association was found between utilization of antenatal care and urban residence (OR = 1.92, 95%CI = 1.35–2.72), women’s education (OR = 1.90, 95%CI = 1.52–2.37), husband’s education (OR = 1.49, 95%CI = 1.32–1.69) and planned pregnancy (OR = 2.08, 95%CI = 1.45–2.98). Based on narrative synthesis exposure to mass media, family income and accessibility of the service were strongly associated with utilization of antenatal care. Conclusion The findings of this review found several modifiable factors such as empowering women through education and increasing their decision-making power, promoting family planning to prevent unplanned pregnancy, increasing awareness of women through mass media and making services more accessible would likely to increase utilization of antenatal care. Further research is needed on accessibility and availability of the service at the individual and community level to assess the predictors of antenatal care service utilization.

BackgroundNearly 15% of pregnancies end in fatal perinatal obstetric complications including bleeding, infections, hypertension, obstructed labour and complications of abortion. Globally, an estimated 10.7 million women have died due to obstetric complications in the last two decades, and two thirds of these deaths occurred in sub-Saharan Africa. Though the majority of maternal mortalities can be prevented, different factors can hinder women’s access to emergency obstetric services. Therefore, this review is aimed at synthesizing current evidence on barriers to access and utilization of emergency obstetric care in sub-Saharan Africa.MethodsArticles were searched from MEDLINE, CINAHL, EMBASE, and Maternity and Infant Care databases using predefined search terms and strategies. Articles published in English, between 2010 and 2017, were included. Two reviewers (AG and AM) independently screened the articles, and data extraction was conducted using the Joanna Briggs Institute data extraction format. The quality of the included studies was assessed using the Mixed Methods Appraisal Tool. The identified barriers were qualitatively synthesized and reported using the Three Delays analytical framework. The PRISMA checklist was employed to present the findings.ResultThe search of the selected databases returned 3534 articles. After duplicates were removed and further screening undertaken, 37 studies fulfilled the inclusion criteria. The identified key barriers related to the first delay included younger age, illiteracy, lower income, unemployment, poor health service utilization, a lower level of assertiveness among women, poor knowledge about obstetric danger signs, and cultural beliefs. Poorly designed roads, lack of vehicles, transportation costs, and distance from facilities led to the second delay. Barriers related to the third delay included lack of emergency obstetric care services and supplies, shortage of trained staff, poor management of emergency obstetric care provision, cost of services, long waiting times, poor referral practices, and poor coordination among staff.ConclusionsA number of factors were found to hamper access to and utilization of emergency obstetric care among women in sub-Saharan Africa. These barriers are inter-dependent and occurred at multiple levels either at home, on the way to health facilities, or at the facilities. Therefore, country-specific holistic strategies including improvements to healthcare systems and the socio-economic status of women need to be strengthened. Further research should focus on the assessment of the third delay, as little is known about facility-readiness.Systematic review registrationPROSPERO CRD42017074102Electronic supplementary materialThe online version of this article (10.1186/s13643-018-0842-2) contains supplementary material, which is available to authorized users.

BackgroundAntenatal care uptake is among the key indicators for monitoring the progress of maternal outcomes. Early initiation of antenatal care facilitates the timely management and treatment of pregnancy complications to reduce maternal deaths. In Ethiopia, antenatal care utilization is generally low, and delayed initiation of care is very common. We aimed to systematically identify and synthesize available evidence on delayed initiation of antenatal care and the associated factors in Ethiopia.MethodsStudies published in English from 1 January 2002 to 30 April 2017 were systematically searched from PubMed, Medline, EMBASE, CINAHL and other relevant sources. Two authors independently reviewed the identified studies against the eligibility criteria. The included studies were critically appraised using the Joanna Briggs-MAStARI instrument for observational studies. Meta-analysis was conducted in RevMan v5.3 for Windows using a Mantel–Haenszel random effects model. The presence of statistical heterogeneity was checked using the Cochran Q test, and its level was quantified using the I2 statistics. Pooled estimate of the proportion of the outcome variable was calculated. Pooled Odd Ratios with 95% CI were calculated to measure the effect sizes.ResultThe pooled magnitude of delayed antenatal care in Ethiopia was 64% (95% CI: 57%, 70%). Maternal age (OR = 0.70; 95% CI: 0.53, 0.93), place of residence (OR = 0.29, 95% CI: 0.16, 0.50), maternal education (OR = 0.49; 95% CI: 0.38, 0.63), husband’s education (OR = 0.44; 95% CI: 0.23, 0.85), maternal occupation (OR = 0.75; 95% CI: 0.61, 0.93), monthly income (OR = 2.06; 95% CI: 1.23, 3.45), pregnancy intention (OR = 0.49; 95% CI: 0.40, 0.60), parity (OR = 0.46; 95% CI: 0.36, 0.58), knowledge of antenatal care (OR = 0.40; 95% CI: 0.32, 0.51), women’s autonomy (OR = 0.38; 95% CI: 0.15, 0.94), partner involvement (OR = 0.24; 95% CI: 0.07, 0.75), pregnancy complications (OR = 0.23; 95% CI: 0.06, 0.95), and means of identifying pregnancy (OR = 0.50; 95% CI: 0.36, 0.69) were significantly associated with delayed antenatal care.ConclusionImproving female education and women’s empowerment through economic reforms, strengthening family planning programs to reduce unintended pregnancy and promoting partner involvement in pregnancy care could reduce the very high magnitude of delayed antenatal care in Ethiopia.Trial registration CRD42017064585.Electronic supplementary materialThe online version of this article (10.1186/s12978-017-0412-4) contains supplementary material, which is available to authorized users.

Background Geospatial data are important in monitoring many aspects of healthcare development. Geographically linking health facility data with population data is an important area of public health research. Examining healthcare problems spatially and hierarchically assists with efficient resource allocation and the monitoring and evaluation of service efficacy at different levels. This paper explored methodological issues associated with geographic data linkage, and the spatial and multilevel analyses that could be considered in analysing maternal health service data. Methods The 2016 Ethiopia Demographic and Health Survey and the 2014 Ethiopia Service Provision Assessment data were used. Two geographic data linking methods were used to link these two datasets. Administrative boundary link was used to link a sample of health facilities data with population survey data for analysing three areas of maternal health service use. Euclidean buffer link was used for a census of hospitals to analyse caesarean delivery use in Ethiopia. The Global Moran’s I and the Getis-Ord Gi* statistics need to be carried out for identifying hot spots of maternal health service use in ArcGIS software. In addition to this, since the two datasets contain hierarchical data, a multilevel analysis was carried out to identify key determinants of maternal health service use in Ethiopia. Results Administrative boundary link gave more types of health facilities and more maternal health services as compared to the Euclidean buffer link. Administrative boundary link is the method of choice in case of sampled health facilities. However, for a census of health facilities, the Euclidean buffer link is the appropriate choice as this provides cluster level service environment estimates, which the administrative boundary link does not. Applying a False Discovery Rate correction enables the identification of true spatial clusters of maternal health service use. Conclusions A service environment link minimizes the methodological issues associated with geographic data linkage. A False Discovery Rate correction needs to be used to account for multiple and dependent testing while carrying out local spatial statistics. Examining maternal health service use both spatially and hierarchically has tremendous importance for identifying geographic areas that need special emphasis and for intervention purposes.

ObjectiveThe aim of this study was to assess the spatial distribution and determinant factors of anaemia among reproductive age women in Ethiopia.MethodsAn in-depth analysis of the 2016 Ethiopian Demographic and Health Survey data was undertaken. Getis-Ord Gi* statistics were used to identify the hot and cold spot areas for anaemia among women of reproductive age. A multilevel logistic regression model was used to identify independent predictors of anaemia among women of reproductive age.ResultsOlder age (adjusted OR [AOR]=0.75; 95% CI 0.64 to 0.96), no education (AOR=1.37; 95% CI 1.102 to 1.72), lowest wealth quantile (AOR=1.29; 95% CI 1.014 to 1.60), currently pregnant (AOR=1.28; 95% CI 1.10 to 1.51, currently breast feeding (AOR=1.09; 95% CI 1.025 to 1.28), high gravidity (AOR=1.39; 95% CI 1.13 to 1.69) and HIV positive (AOR=2.11; 95% CI 1.59 to 2.79) are individual factors associated with the occurrence of anaemia. Likewise, living in a rural area (AOR=1.29; 95% CI 1.02 to 1.63) and availability of unimproved latrine facilities (AOR=1.18; 95% CI 1.01 to 1.39) are community-level factors associated with higher odds of anaemia. The spatial analysis indicated that statistically high hotspots of anaemia were observed in the eastern (Somali, Dire Dawa and Harari regions) and north-eastern (Afar) parts of the country.ConclusionThe prevalence rate of anaemia among women of reproductive age varied across the country. Significant hotspots/high prevalence of anaemia was observed in the eastern and north-eastern parts of Ethiopia. Anaemia prevention strategies need to be targeted on rural residents, women with limited to no education, women who are breast feeding, areas with poor latrine facilities and women who are HIV positive.