Place-specific factors associated with adverse maternal and perinatal outcomes in Southern Mozambique: a retrospective cohort study. 2019

Prestige Tatenda Makanga, and Charfudin Sacoor, and Nadine Schuurman, and Tang Lee, and Faustino Carlos Vilanculo, and Khatia Munguambe, and Helena Boene, and Ugochinyere Vivian Ukah, and Marianne Vidler, and Laura A Magee, and Esperanca Sevene, and Peter von Dadelszen, and Tabassum Firoz, and
Surveying and Geomatics Department, Midlands State University Faculty of Science and Technology, Gweru, Midlands, Zimbabwe.

To identify and measure the place-specific determinants that are associated with adverse maternal and perinatal outcomes in the southern region of Mozambique. Retrospective cohort study. Choice of variables informed by literature and Delphi consensus. Study conducted during the baseline phase of a community level intervention for pre-eclampsia that was led by community health workers. A household census identified 50 493 households that were home to 80 483 women of reproductive age (age 12-49 years). Of these women, 14 617 had been pregnant in the 12 months prior to the census, of which 9172 (61.6%) had completed their pregnancies. A combined fetal, maternal and neonatal outcome was calculated for all women with completed pregnancies. A total of six variables were statistically significant (p≤0.05) in explaining the combined outcome. These included: geographic isolation, flood proneness, access to an improved latrine, average age of reproductive age woman, family support and fertility rates. The performance of the ordinary least squares model was an adjusted R2=0.69. Three of the variables (isolation, latrine score and family support) showed significant geographic variability in their effect on rates of adverse outcome. Accounting for this modest non-stationary effect through geographically weighted regression increased the adjusted R2 to 0.71. The community exploration was successful in identifying context-specific determinants of maternal health. The results highlight the need for designing targeted interventions that address the place-specific social determinants of maternal health in the study area. The geographic process of identifying and measuring these determinants, therefore, has implications for multisectoral collaboration. NCT01911494.

UI MeSH Term Description Entries
D007231 Infant, Newborn An infant during the first 28 days after birth. Neonate,Newborns,Infants, Newborn,Neonates,Newborn,Newborn Infant,Newborn Infants
D008423 Maternal Age The age of the mother in PREGNANCY. Age, Maternal,Ages, Maternal,Maternal Ages
D008428 Maternal Mortality Maternal deaths resulting from complications of pregnancy and childbirth in a given population. Mortality, Maternal,Maternal Mortalities,Mortalities, Maternal
D009073 Mozambique A republic in southern Africa, south of TANZANIA, east of ZAMBIA and ZIMBABWE, bordered on the west by the Indian Ocean. Its capital is Maputo. It was formerly called Portuguese East Africa. Portuguese East Africa,Republic of Mozambique
D010298 Parity The number of offspring a female has borne. It is contrasted with GRAVIDITY, which refers to the number of pregnancies, regardless of outcome. Multiparity,Nulliparity,Primiparity,Parity Progression Ratio,Parity Progression Ratios,Ratio, Parity Progression,Ratios, Parity Progression
D011247 Pregnancy The status during which female mammals carry their developing young (EMBRYOS or FETUSES) in utero before birth, beginning from FERTILIZATION to BIRTH. Gestation,Pregnancies
D011256 Pregnancy Outcome Results of conception and ensuing pregnancy, including LIVE BIRTH; STILLBIRTH; or SPONTANEOUS ABORTION. The outcome may follow natural or artificial insemination or any of the various ASSISTED REPRODUCTIVE TECHNIQUES, such as EMBRYO TRANSFER or FERTILIZATION IN VITRO. Outcome, Pregnancy,Outcomes, Pregnancy,Pregnancy Outcomes
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D005190 Family A social group consisting of parents or parent substitutes and children. Family Life Cycles,Family Members,Family Life Cycle,Family Research,Filiation,Kinship Networks,Relatives,Families,Family Member,Kinship Network,Life Cycle, Family,Life Cycles, Family,Network, Kinship,Networks, Kinship,Research, Family
D005260 Female Females

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