Dataset Information

The influence of distance and level of care on delivery place in rural Zambia: a study of linked national data in a geographic information system.

ABSTRACT:

Background

Maternal and perinatal mortality could be reduced if all women delivered in settings where skilled attendants could provide emergency obstetric care (EmOC) if complications arise. Research on determinants of skilled attendance at delivery has focussed on household and individual factors, neglecting the influence of the health service environment, in part due to a lack of suitable data. The aim of this study was to quantify the effects of distance to care and level of care on women's use of health facilities for delivery in rural Zambia, and to compare their population impact to that of other important determinants.

Methods and findings

Using a geographic information system (GIS), we linked national household data from the Zambian Demographic and Health Survey 2007 with national facility data from the Zambian Health Facility Census 2005 and calculated straight-line distances. Health facilities were classified by whether they provided comprehensive EmOC (CEmOC), basic EmOC (BEmOC), or limited or substandard services. Multivariable multilevel logistic regression analyses were performed to investigate the influence of distance to care and level of care on place of delivery (facility or home) for 3,682 rural births, controlling for a wide range of confounders. Only a third of rural Zambian births occurred at a health facility, and half of all births were to mothers living more than 25 km from a facility of BEmOC standard or better. As distance to the closest health facility doubled, the odds of facility delivery decreased by 29% (95% CI, 14%-40%). Independently, each step increase in level of care led to 26% higher odds of facility delivery (95% CI, 7%-48%). The population impact of poor geographic access to EmOC was at least of similar magnitude as that of low maternal education, household poverty, or lack of female autonomy.

Conclusions

Lack of geographic access to emergency obstetric care is a key factor explaining why most rural deliveries in Zambia still occur at home without skilled care. Addressing geographic and quality barriers is crucial to increase service use and to lower maternal and perinatal mortality. Linking datasets using GIS has great potential for future research and can help overcome the neglect of health system factors in research and policy. Please see later in the article for the Editors' Summary.

SUBMITTER: Gabrysch S

PROVIDER: S-EPMC3026699 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature

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Publications

The influence of distance and level of care on delivery place in rural Zambia: a study of linked national data in a geographic information system.

Gabrysch Sabine S Cousens Simon S Cox Jonathan J Campbell Oona M R OM

PLoS medicine 20110125 1

<h4>Background</h4>Maternal and perinatal mortality could be reduced if all women delivered in settings where skilled attendants could provide emergency obstetric care (EmOC) if complications arise. Research on determinants of skilled attendance at delivery has focussed on household and individual factors, neglecting the influence of the health service environment, in part due to a lack of suitable data. The aim of this study was to quantify the effects of distance to care and level of care on w ...[more]

PMID: 21283606

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Project description:BackgroundLittle is known about the impact of neighborhood context on family caregivers, or how environmental factors combine with individual-level caregiver risk factors to affect caregiver outcomes.ObjectivesTo combine Geographic Information System (GIS) and survey methods to examine the effects of caregiver residence in disadvantaged/underserved neighborhoods on caregiver outcomes.Research design and methodsTelephone surveys with 758 caregivers from the Pittsburgh Regional Caregiver Survey geocoded for classification into Environmental Justice Areas (EJAs) and Medically Underserved Areas (MUAs). We examine the impact of EJA/MUA caregiver residence on care recipient unmet needs for care, caregiver depression and burden, and positive aspects of caregiving, adjusting for sociodemographics, caregiving context, care recipient disability level, caregiving intensity, and additional risk factors.ResultsThere was spatial clustering of caregiver depression and burden outside of the disadvantaged/underserved areas, while positive aspects of caregiving were clustered within EJAs/MUAs. Approximately 36% of caregivers lived in EJAs/MUAs, and they differed, sociodemographically, on caregiver risk factors and caregiver outcomes. Multivariable models showed that caregivers residing in EJAs/MUAs were less likely to be depressed and reported more positive aspects of caregiving after adjusting for known individual-level risk factors. Residence in disadvantaged/underserved areas also modified the effects of several risk factors on caregiver outcomes.Discussion and implicationsCaregiver outcomes show interesting spatial patterns. Unexpectedly, caregivers living in these potentially challenging environments were less depressed and reported more gains from caregiving after adjusting for known risk factors. Results suggest that socioeconomic disadvantage does not necessarily translate into poor caregiver outcomes. Understanding the mechanism for these effects is important to designing effective caregiver interventions. The paper also demonstrates the value of using GIS methods to study caregiving.

Project description:BackgroundModern contraceptive use among adolescents is low despite the adverse effects of adolescent pregnancies. Understanding correlates of modern contraceptive use in different settings is key to the design of effective context-specific interventions. We aimed to determine factors associated with modern contraceptives use among adolescents in rural and urban settings of Zambia.MethodsWe analyzed secondary data from 2018 Zambia demographic and health survey (ZDHS) focusing on adolescent girls aged 15-19 years. We used multivariable logistic regression in SPSS version 25 to examine rural-urban variations in factors associated with modern contraceptive utilization.ResultsOverall, 12.0% (360/3000, 95% CI: 10.9-13.2) of adolescents in Zambia were using modern contraceptives. Use of modern contraceptives was higher in rural areas at 13.7% (230/1677, 95% CI: 12.1-15.3) compared to 9.8% (130/1323, 95% CI: 8.3-11.6) in urban areas. In the rural areas, having a child (aOR = 13.99; 95% CI 8.60-22.77), being married (aOR = 2.13; 95% CI 1.42-3.18), being older at 19 years (aOR = 3.90; 95% CI 1.52-10.03), having been visited by a field health worker (aOR = 1.62; 95% CI 1.01-2.64), having been exposed to family planning messages on mass media (aOR = 2.87; 95% CI 1.01-8.18) and belonging to the richest wealth quintile (aOR = 2.27; 95% CI 1.43-3.62) were associated with higher odds of contraceptive utilization. Furthermore, adolescents in the Northern (aOR = 0.29; 95% CI 0.11-0.80) and Luapula (aOR = 0.35; 95% CI 0.15-0.81) provinces were associated with less odds of utilizing contraceptives compared to those in Western province. In the urban areas, older age at 19 years (aOR = 4.80; 95% CI 1.55-14.84) and having a child (aOR = 18.52; 95% CI 9.50-36.14) were the only factors significantly associated with modern contraceptive utilization.ConclusionAge and having a child were associated with modern contraceptive use in both rural and urban areas. In rural areas (province, marital status, being visited by field health workers, family planning messages exposure and wealth index) were the only associated factors. This indicates that interventions aiming to increase contraceptive utilization should be context specific.

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Dataset Information

The influence of distance and level of care on delivery place in rural Zambia: a study of linked national data in a geographic information system.

Background

Methods and findings

Conclusions

Publications

The influence of distance and level of care on delivery place in rural Zambia: a study of linked national data in a geographic information system.

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