To what extent do community characteristics drive health facility delivery? Findings among Women who had recent live births in Nigeria

Solanke, Bola Lukman; Rahman, Semiu Adebayo; Ogunjuyigbe, Peter Olasupo

doi:10.1111/hsc.13133

Cited by 5 publications

(4 citation statements)

References 21 publications

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“…Those who responded respondent’s home and other homes were classified as “home delivery,” while the remaining responses were grouped as “health facility delivery”. This classification was informed by previous studies [ 29 – 32 ].…”

Section: Methodsmentioning

confidence: 99%

Health facility delivery among women of reproductive age in Nigeria: Does age at first birth matter?

et al. 2021

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Background High maternal mortality ratio in sub-Saharan Africa (SSA) has been linked to inadequate medical care for pregnant women due to limited health facility delivery utilization. Thus, this study, examined the association between age at first childbirth and health facility delivery among women of reproductive age in Nigeria. Methods The study used the most recent secondary dataset from Nigeria’s Demographic and Health Survey (NDHS) conducted in 2018. Only women aged15-49 were considered for the study (N = 34,193). Bi-variate and multivariable logistic regression models were used to examine the association between age at first birth and place of delivery. The results were presented as crude odds ratios and adjusted odds ratios (aOR) with corresponding 95% confidence intervals (CIs). Statistical significance was set at p<0.05. Results The results showed that the prevalence of health facility deliveries was 41% in Nigeria. Women who had their first birth below age 20 [aOR = 0.82; 95%(CI = 0.74–0.90)] were less likely to give birth at health facilities compared to those who had their first birth at age 20 and above. Conclusion Our findings suggest the need to design interventions that will encourage women of reproductive age in Nigeria who are younger than 20 years to give birth in health facilities to avoid the risks of maternal complications associated with home delivery. Such interventions should include male involvement in antenatal care visits and the education of both partners and young women on the importance of health facility delivery.

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Section: Methodsmentioning

confidence: 99%

Health facility delivery among women of reproductive age in Nigeria: Does age at first birth matter?

et al. 2021

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“…Past research indicates that mobile technology interventions in other African countries increase the number of women giving birth in a HC, but a mobile technology education intervention had not yet been tested in Kenya. [22][23][24] Community-based characteristics 25 such as social status as indicated by personal phone ownership by pregnant women may be linked to women's ability to access information to support the decision for a HC birth. According to DeNicola, 26 mobile apps have the potential to be used for prenatal care, postsurgical follow-ups, informing patients about complications requiring care, and helping with personal healthcare choices.…”

Section: Discussionmentioning

confidence: 99%

Promoting childbirth in a rural health facility: A quasi‐experimental study in western Kenya

Mwanzia,

Baliddawa,

Biederman

et al. 2023

Birth

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BackgroundThe high maternal and neonatal mortality rate in sub‐Saharan Africa could be reduced by using navigation by means of mobile devices to increase the number of women who choose to give birth in a health center (HC) with a skilled healthcare practitioner.MethodsA quasi‐experimental design was used to test a midwife‐delivered navigation by means of mobile phone. A total of 208 women were randomized to two groups (intervention and control). Women in the intervention group received up to three navigation calls from midwives. Women in the control group received usual antenatal education during prenatal visits. Data were collected using semistructured questionnaires. Childbirth location was determined through medical records.ResultsOverall, 180 (87%) women gave birth in a HC with a 3% advantage for the intervention group. A total of 86% (88/102) of the control group gave birth in a HC versus 89% (92/103) for the intervention group (Χ2 = 0.44, p‐value = 0.51), with an unadjusted odds ratio of 1.33 (95% CI: 0.57, 3.09). Among those with personal phones, 91% (138/152) had a birth in a HC versus 79% (42/53) in those without a personal phone (Χ2 = 4.89, p‐value = 0.03).ConclusionsThe results of this study indicate that it is feasible to deliver phone‐based navigation to support birth in a HC; personal phone ownership may be a factor in the success of this strategy.

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“…The analytical tool adopted not only aligned with the theoretical position of the Andersen model but is also suitable for examining predictors of an outcome with hierarchical in uences such as individual and community levels. This tool is widely applied in multilevel studies [41][42][43][44][45]. The multilevel mixed-effects logistic model partitions in uences on an outcome into xed and random effects [47].…”

Section: Discussionmentioning

confidence: 99%

“…The community variables were generated from individual responses through aggregation at the cluster level, and then divided into three equal proportions (low, middle and high), using tertile value as cut off reference. This method is generally used for the generation of community variables using DHS data sets [41][42][43][44][45].…”

Section: Methodsmentioning

confidence: 99%

Using Andersen’s Behavioural Model of Health Services use to Examine usage of Intermittent Preventive Treatment of Malaria in Pregnancy in Nigeria

Solanke¹,

Adebayo²,

Oyeleye³

et al. 2021

Preprint

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Background: Studies in Nigeria and elsewhere in sub-Saharan Africa have explored factors influencing usage of intermittent preventive treatment of malaria in pregnancy (IPTp). However, most of the studies are not model or theory-based, which provides less satisfactory guidance to malaria control programming. This study fills the knowledge gap by adapting the Andersen’s behavioural model of health services use to IPTp usage in Nigeria.Methods: This study adopted a cross-sectional design that utilised secondary data extracted from the 2018 Nigeria Demographic and Health Survey (NDHS). A weighted sample of 4,772 women who had deliveries in the past year preceding the survey was analysed. The outcome variable was usage of IPTp dichotomised into optimal or otherwise. The explanatory variables cut across individual and community levels, and were divided into predisposing, enabling and need factors in line with the theoretical constructs of the Andersen model. Two multilevel mixed-effects logistic regression models were fitted to identify the factors influencing optimal usage of IPTp. Analyses were performed using Stata 14. Statistical significance was set at 5%. Results: The realised level of optimal IPTp usage was 21.8%. The factors that either predispose or enables a pregnant woman to take optimal doses of IPTp are age, education, being employed, being autonomous on own healthcare, health insurance enrolment, partner education, receiving antenatal care in public health facility, rural residence, being resident in northern geo-political zones, community literacy level, and community perception of the consequences of malaria. Two significant need factors affecting optimal usage of IPTp are timing of first antenatal care contact and actual sleeping under mosquito bed net. Conclusion: Optimal usage of IPTp is low among pregnant women in Nigeria. There is need to devise additional public health education programme promoting IPTp usage through the formation of Advocacy, Communication and Social Mobilisation (ACSM) core group in every ward in all the local government areas in the country. In addition, health planners in the country should adopt the use of the Andersen model for assessing key determinants of IPTp usage among childbearing women in the country.

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To what extent do community characteristics drive health facility delivery? Findings among Women who had recent live births in Nigeria

Cited by 5 publications

References 21 publications

Health facility delivery among women of reproductive age in Nigeria: Does age at first birth matter?

Health facility delivery among women of reproductive age in Nigeria: Does age at first birth matter?

Promoting childbirth in a rural health facility: A quasi‐experimental study in western Kenya

Using Andersen’s Behavioural Model of Health Services use to Examine usage of Intermittent Preventive Treatment of Malaria in Pregnancy in Nigeria

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