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      Predictors of person-centered maternity care: the role of socioeconomic status, empowerment, and facility type

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          Abstract

          Background

          Low use of maternal health services, as well as poor quality care, contribute to the high maternal mortality in sub-Saharan Africa (SSA). In particular, poor person-centered maternity care (PCMC), which captures user experience, contributes both directly to pregnancy outcomes and indirectly through decreased demand for services. While many studies have examined disparities in use of maternal health services, few have examined disparities in quality of care, and none to our knowledge has empirically examined disparities in PCMC in SSA. The aim of this study is to examine factors associated with PCMC, particularly the role of household wealth, personal empowerment, and type of facility.

          Methods

          Data are from a survey conducted in western Kenya in 2016, with women aged 15 to 49 years who delivered in the 9 weeks preceding the survey ( N = 877). PCMC is operationalized as a summative score based on responses to 30 items in the PCMC scale capturing dignity and respect, communication and autonomy, and supportive care.

          Results

          We find that net of other factors; wealthier, employed, literate, and married women report higher PCMC than poorer, unemployed, illiterate, and unmarried women respectively. Also, women who have experienced domestic violence report lower PCMC than those who have never experienced domestic violence. In addition, women who delivered in health centers and private facilities reported higher PCMC than those who delivered in public hospitals. The effect of employment and facility type is conditional on wealth, and is strongest for the poorest women. Poor women who are unemployed and poor women who deliver in higher-level facilities receive the lowest quality PCMC.

          Conclusions

          The findings imply the most disadvantaged women receive the lowest quality PCMC, especially when they seek care in higher-level facilities. Interventions to reduce disparities in PCMC are essential to improve maternal outcomes among disadvantaged groups.

          Electronic supplementary material

          The online version of this article (10.1186/s12913-018-3183-x) contains supplementary material, which is available to authorized users.

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          Most cited references34

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          Drivers and deterrents of facility delivery in sub-Saharan Africa: a systematic review

          While the most important factors associated with facility-based delivery (FBD) have been explored within individual countries in Africa, no systematic review has explored the factors associated with FBD across sub-Saharan Africa. A systematic search of the peer-reviewed literature was conducted to identify articles published in English from 1/1995-12/2011 that reported on original research conducted entirely or in part in sub-Saharan Africa and included a primary outcome variable of FBD, delivery location, or skilled birth attendance (SBA). Out of 1,168 citations identified, 65 met inclusion criteria. 62 of 65 were cross-sectional, and 58 of 65 relied upon household survey data. Fewer than two-thirds (43) included multivariate analyses. The factors associated with facility delivery were categorized as maternal, social, antenatal-related, facility-related, and macro-level factors. Maternal factors were the most commonly studied. This may be a result of the overwhelming reliance on household survey data – where maternal sociodemographic factors are likely to be well-represented and non-maternal factors may be less consistently and accurately represented. Multivariate analysis suggests that maternal education, parity / birth order, rural / urban residence, household wealth / socioeconomic status, distance to the nearest facility, and number of antenatal care visits were the factors most consistently associated with FBD. In conclusion, FBD is a complex issue that is influenced by characteristics of the pregnant woman herself, her immediate social circle, the community in which she lives, the facility that is closest to her, and context of the country in which she lives. Research to date has been dominated by analysis of cross-sectional household survey data. More research is needed that explores regional variability, examines longitudinal trends, and studies the impact of interventions to boost rates of facility delivery in sub-Saharan Africa.
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            Factors associated with the use and quality of antenatal care in Nepal: a population-based study using the demographic and health survey data

            Background Good quality antenatal care (ANC) reduces maternal and neonatal mortality and improves health outcomes, particularly in low-income countries. Quality of ANC is measured by three dimensions: number of visits, timing of initiation of care and inclusion of all recommended components of care. Although some studies report on predictors of the first two indicators, no studies on the third indicator, which measures quality of ANC received, have been conducted in Nepal. Nepal follows the World Health Organization’s recommendations of initiation of ANC within the first four months of pregnancy and at least four ANC visits during the course of an uncomplicated pregnancy. This study aimed to identify factors associated with 1) attendance at four or more ANC visits and 2) receipt of good quality ANC. Methods Data from Nepal Demographic and Health Survey 2011 were analysed for 4,079 mothers. Good quality ANC was defined as that which included all seven recommended components: blood pressure measurement; urine tests for detecting bacteriuria and proteinuria; blood tests for syphilis and anaemia; and provision of iron supplementation, intestinal parasite drugs, tetanus toxoid injections and health education. Results Half the women had four or more ANC visits and 85% had at least one visit. Health education, iron supplementation, blood pressure measurement and tetanus toxoid were the more commonly received components of ANC. Older age, higher parity, and higher levels of education and household economic status of the women were predictors of both attendance at four or more visits and receipt of good quality ANC. Women who did not smoke, had a say in decision-making, whose husbands had higher levels of education and were involved in occupations other than agriculture were more likely to attend four or more visits. Other predictors of women’s receipt of good quality ANC were receiving their ANC from a skilled provider, in a hospital, living in an urban area and being exposed to general media. Conclusions Continued efforts at improving access to quality ANC in Nepal are required. In the short term, less educated women from socioeconomically disadvantaged households require targeting. Long-term improvements require a focus on improving female education.
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              Using the three delays model to understand why newborn babies die in eastern Uganda.

              To investigate causes of and contributors to newborn deaths in eastern Uganda using a three delays audit approach. Methods Data collected on 64 neonatal deaths from a demographic surveillance site were coded for causes of deaths using a hierarchical model and analysed using a modified three delays model to determine contributing delays. A survey was conducted in 16 health facilities to determine capacity for newborn care. Of the newborn babies, 33% died in a hospital/health centre, 13% in a private clinic and 54% died away from a health facility. 47% of the deaths occurred on the day of birth and 78% in the first week. Major contributing delays to newborn death were caretaker delay in problem recognition or in deciding to seek care (50%, 32/64); delay to receive quality care at a health facility (30%; 19/64); and transport delay (20%; 13/64). The median time to seeking care outside the home was 3 days from onset of illness (IQR 1-6). The leading causes of death were sepsis or pneumonia (31%), birth asphyxia (30%) and preterm birth (25%). Health facilities did not have capacity for newborn care, and health workers had correct knowledge on only 31% of the survey questions related to newborn care. Household and health facility-related delays were the major contributors to newborn deaths, and efforts to improve newborn survival need to address both concurrently. Understanding why newborn babies die can be improved by using the three delays model, originally developed for understanding maternal death.
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                Author and article information

                Contributors
                Patience.Afulani@ucsf.edu
                tsayi@health.usf.edu
                Dominic.Montagu@ucsf.edu
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                11 May 2018
                11 May 2018
                2018
                : 18
                : 360
                Affiliations
                [1 ]ISNI 0000 0001 2297 6811, GRID grid.266102.1, University of California, ; San Francisco, USA
                [2 ]ISNI 0000 0001 2353 285X, GRID grid.170693.a, University of South Florida, ; Tampa, USA
                Article
                3183
                10.1186/s12913-018-3183-x
                5948900
                29751805
                9be16bb4-60cf-4805-ae93-73e890d9b35c
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 23 August 2017
                : 4 May 2018
                Funding
                Funded by: FundRef http://data.crossref.org/fundingdata/funder/10.13039/100000865, Bill & Melinda Gates Foundation;
                Award ID: OPP1107312
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Health & Social care
                person-centered care,maternity care,respectful care,kenya,sub-saharan africa,socioecononmic status,empowerment,facility-based delivery

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