Dataset Information

Factors associated with health facility deliveries among mothers living in hospital catchment areas in Rukungiri and Kanungu districts, Uganda.

ABSTRACT:

Background

Health facility deliveries are generally associated with improved maternal and child health outcomes. However, in Uganda, little is known about factors that influence use of health facilities for delivery especially in rural areas. In this study, we assessed the factors associated with health facility deliveries among mothers living within the catchment areas of major health facilities in Rukungiri and Kanungu districts, Uganda.

Methods

Cross-sectional data were collected from 894 randomly-sampled mothers within the catchment of two private hospitals in Rukungiri and Kanungu districts. Data were collected on the place of delivery for the most recent child, mothers' sociodemographic and economic characteristics, and health facility water, sanitation and hygiene (WASH) status. Modified Poisson regression was used to estimate prevalence ratios (PRs) for the determinants of health facility deliveries as well as factors associated with private versus public utilization of health facilities for childbirth.

Results

The majority of mothers (90.2%, 806/894) delivered in health facilities. Non-facility deliveries were attributed to faster progression of labour (77.3%, 68/88), lack of transport (31.8%, 28/88), and high cost of hospital delivery (12.5%, 11/88). Being a business-woman [APR = 1.06, 95% CI (1.01-1.11)] and belonging to the highest wealth quintile [APR = 1.09, 95% CI (1.02-1.17)] favoured facility delivery while a higher parity of 3-4 [APR = 0.93, 95% CI (0.88-0.99)] was inversely associated with health facility delivery as compared to parity of 1-2. Factors associated with delivery in a private facility compared to a public facility included availability of highly skilled health workers [APR = 1.15, 95% CI (1.05-1.26)], perceived higher quality of WASH services [APR = 1.11, 95% CI (1.04-1.17)], cost of the delivery [APR = 0.85, 95% CI (0.78-0.92)], and availability of caesarean services [APR = 1.13, 95% CI (1.08-1.19)].

Conclusion

Health facility delivery service utilization was high, and associated with engaging in business, belonging to wealthiest quintile and having higher parity. Factors associated with delivery in private facilities included health facility WASH status, cost of services, and availability of skilled workforce and caesarean services.

SUBMITTER: Mugambe RK

PROVIDER: S-EPMC8077901 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature

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Factors associated with health facility deliveries among mothers living in hospital catchment areas in Rukungiri and Kanungu districts, Uganda.

Mugambe Richard K RK Yakubu Habib H Wafula Solomon T ST Ssekamatte Tonny T Kasasa Simon S Isunju John Bosco JB Halage Abdullah Ali AA Osuret Jimmy J Bwire Constance C Ssempebwa John C JC Wang Yuke Y McGriff Joanne A JA Moe Christine L CL

BMC pregnancy and childbirth 20210426 1

<h4>Background</h4>Health facility deliveries are generally associated with improved maternal and child health outcomes. However, in Uganda, little is known about factors that influence use of health facilities for delivery especially in rural areas. In this study, we assessed the factors associated with health facility deliveries among mothers living within the catchment areas of major health facilities in Rukungiri and Kanungu districts, Uganda.<h4>Methods</h4>Cross-sectional data were collect ...[more]

PMID: 33902472

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Project description:BACKGROUND:In Eritrea, despite high antenatal care (ANC) use, utilization of health facilities for child birth is still low and with marked variations between urban and rural areas. Understanding the reasons behind the poor use of these services in a rural setting is important to design targeted strategies and address the challenge contextually. This study aimed to determine factors that influence women's choice of delivery place in selected rural communities in Eritrea. METHODS:A cross-sectional survey of 309 women aged 15-49 years with a delivery in the last 1-2 years prior to the survey was conducted in a randomly selected villages of Hadish Adi, Serea, Genseba, Kelay Bealtat, Dirko, Mai Leham, Kudo Abour, Adi Koho, and Leayten. Data were collected using an interviewer administered questionnaire. Chi-square tests were used to explore association between variables. Using odds ratios with 95% confidence intervals with p < 0.05 taken as statically significant association, bivariate and multivariate logistic regression analysis were used to identify factors that affect the choice of delivery place. RESULTS:Overall, 75.4% of the respondents delivered their last child at home while 24.6% delivered in health facility. Women whose husband's had no formal education were less likely [AOR = 0.02; 95% CI 0.01-0.54] to deliver in health facility. Women who had joint decision-making with husbands on delivery place [AOR = 5.42; 95% CI 1.78-16.49] and women whose husbands choose health facility delivery [AOR = 2.32; 95% CI 1.24-5.11] were more likely to have health facility delivery. Respondents who had medium wealth status [AOR = 3.78; 95% CI 1.38-10.37] have access to health facility within 2 km distance [AOR = 14.67; 95% CI 2.30-93.45] and women with traditional means of transport [AOR = 9.78; 95% CI 1.23-77.26] were also more likely to deliver in health facility. Women who read newspaper daily or infrequently had three [AOR = 3.77; 95% CI 1.12-4.04] and almost three times [AOR = 2.95; 95% CI 1.01-8.59] higher odds of delivering in health facility. Similarly, women who have knowledge about complications during delivery [AOR = 4.39; 95% CI 1.63-11.83], good perception on the quality of care they received [AOR = 9.52; 95% CI 1.91-47.50], had previous facility delivery [AOR = 2.69; 95% CI 0.94-7.68], have negative experiences of delivery outcomes in her community [AOR = 1.31; 95% CI 1.00-4.96], and women who perceive home delivery as life threatening [AOR = 1.84; 95% CI 1.46-3.38] were more likely to deliver in health facility. CONCLUSION:To increase health facility delivery, raising women's awareness on the benefits of delivering in health facility, male involvement in the use of maternal health services, increasing women decision-making power, addressing common barriers of lack of transport, and compensations for transport expenses to alleviate the cost of transport are recommended. Efforts to shorten distance to reach health facility and health education focusing on the potential threats of delivering at home at the individual and community level can have substantial contribution to increase health facility delivery in rural communities of Eritrea.

Project description:INTRODUCTION:As facility-based deliveries increase globally, maternity registers offer a promising way of documenting pregnancy outcomes and understanding opportunities for perinatal mortality prevention. This study aims to contribute to global quality improvement efforts by characterizing facility-based pregnancy outcomes in Kenya and Uganda including maternal, neonatal, and fetal outcomes at the time of delivery and neonatal discharge outcomes using strengthened maternity registers. METHODS:Cross sectional data were collected from strengthened maternity registers at 23 facilities over 18 months. Data strengthening efforts included provision of supplies, training on standard indicator definitions, and monthly feedback on completeness. Pregnancy outcomes were classified as live births, early stillbirths, late stillbirths, or spontaneous abortions according to birth weight or gestational age. Discharge outcomes were assessed for all live births. Outcomes were assessed by country and by infant, maternal, and facility characteristics. Maternal mortality was also examined. RESULTS:Among 50,981 deliveries, 91.3% were live born and, of those, 1.6% died before discharge. An additional 0.5% of deliveries were early stillbirths, 3.6% late stillbirths, and 4.7% spontaneous abortions. There were 64 documented maternal deaths (0.1%). Preterm and low birthweight infants represented a disproportionate number of stillbirths and pre-discharge deaths, yet very few were born at ≤1500g or <28w. More pre-discharge deaths and stillbirths occurred after maternal referral and with cesarean section. Half of maternal deaths occurred in women who had undergone cesarean section. CONCLUSION:Maternity registers are a valuable data source for understanding pregnancy outcomes including those mothers and infants at highest risk of perinatal mortality. Strengthened register data in Kenya and Uganda highlight the need for renewed focus on improving care of preterm and low birthweight infants and expanding access to emergency obstetric care. Registers also permit enumeration of pregnancy loss <28 weeks. Documenting these earlier losses is an important step towards further mortality reduction for the most vulnerable infants.

Project description:BACKGROUND:National or regional population-based HIV prevalence surveys have small sample sizes at district or sub-district levels; this leads to wide confidence intervals when estimating HIV prevalence at district level for programme monitoring and decision making. Health facility programme data, collected during service delivery is widely available, but since people self-select for HIV testing, HIV prevalence estimates based on it, is subject to selection bias. We present a statistical annealing technique, Hybrid Prevalence Estimation (HPE), that combines a small population-based survey sample with a facility-based sample to generate district level HIV prevalence estimates with associated confidence intervals. METHODS:We apply the HPE methodology to combine the 2011 Uganda AIDS indicator survey with the 2011 health facility HIV testing data to obtain HIV prevalence estimates for districts in Uganda. Multilevel logistic regression was used to obtain the propensity of testing for HIV in a health facility, and the propensity to test was used to combine the population survey and health facility HIV testing data to obtain the HPEs. We assessed comparability of the HPEs and survey-based estimates using Bland Altman analysis. RESULTS:The estimates ranged from 0.012 to 0.178 and had narrower confidence intervals compared to survey-based estimates. The average difference between HPEs and population survey estimates was 0.00 (95% CI: - 0.04, 0.04). The HPE standard errors were 28.9% (95% CI: 23.4-34.4) reduced, compared to survey-based standard errors. Overall reduction in HPE standard errors compared survey-based standard errors ranged from 5.4 to 95%. CONCLUSIONS:Facility data can be combined with population survey data to obtain more accurate HIV prevalence estimates for geographical areas with small population survey sample sizes. We recommend use of the methodology by district level managers to obtain more accurate HIV prevalence estimates to guide decision making without incurring additional data collection costs.

Project description:BackgroundAccess to quality obstetric care is considered essential to reducing maternal and new-born mortality. We evaluated the effect of the introduction of a multifaceted voluntary health insurance programme on hospital deliveries in rural Nigeria.MethodsWe used an interrupted time-series design, including a control group. The intervention consisted of providing voluntary health insurance covering primary and secondary healthcare, including antenatal and obstetric care, combined with improving the quality of healthcare facilities. We compared changes in hospital deliveries from 1 May 2005 to 30 April 2013 between the programme area and control area in a difference-in-differences analysis with multiple time periods, adjusting for observed confounders. Data were collected through household surveys. Eligible households ( n = 1500) were selected from a stratified probability sample of enumeration areas. All deliveries during the 4-year baseline period ( n = 460) and 4-year follow-up period ( n = 380) were included.FindingsInsurance coverage increased from 0% before the insurance was introduced to 70.2% in April 2013 in the programme area. In the control area insurance coverage remained 0% between May 2005 and April 2013. Although hospital deliveries followed a common stable trend over the 4 pre-programme years ( P = 0.89), the increase in hospital deliveries during the 4-year follow-up period in the programme area was 29.3 percentage points (95% CI: 16.1 to 42.6; P < 0.001) greater than the change in the control area (intention-to-treat impact), corresponding to a relative increase in hospital deliveries of 62%. Women who did not enroll in health insurance but who could make use of the upgraded care delivered significantly more often in a hospital during the follow-up period than women living in the control area ( P = 0.04).ConclusionsVoluntary health insurance combined with quality healthcare services is highly effective in increasing hospital deliveries in rural Nigeria, by improving access to healthcare for insured and uninsured women in the programme area.

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Dataset Information

Factors associated with health facility deliveries among mothers living in hospital catchment areas in Rukungiri and Kanungu districts, Uganda.

Background

Methods

Results

Conclusion

Publications

Factors associated with health facility deliveries among mothers living in hospital catchment areas in Rukungiri and Kanungu districts, Uganda.

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