Individual versus community-level measures of women decisionmaking involvement and child survival in Nigeria

Akinyemi, Joshua O.; Adedini, Sunday A.; Odimegwu, Clifford

doi:10.7196/sajch.2017.v11i1.1148

Cited by 10 publications

(20 citation statements)

References 16 publications

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“…It is possible that caregivers of higher educational level have higher knowledge on the importance of CWC. Thus, our finding is in consonance with previous studies which found education as an important predictor of parental health decision making for children [ 31 , 32 ]. This is so because caregivers with least formal education may have little or no knowledge on activities conducted at CWC after completion of the immunization schedule or may view such activities as irrelevant, as already established by other researchers [ 5 , 33 ].…”

Section: Discussionsupporting

confidence: 93%

Knowledge and Other Predictors of Child Welfare Clinic Completion among Children Aged 24–59 Months in the Garu-Tempane District of Northern Ghana: A Cross-Sectional Study of Caregivers

Nibelo

Manu

2020

Advances in Preventive Medicine

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Background. While completion of the Child Welfare Clinic (CWC) schedule for children remains a crucial factor in the prevention of illness and promotion of better child health, there has been low attendance among caregivers in Ghana. This study examined knowledge of 220 caregivers of children aged 24–59 months on CWC and other factors influencing attendance in the Garu-Tempane District of Northern Ghana. Methods. This health facility-based descriptive cross-sectional study was carried out among caregivers of children using a structured questionnaire. Descriptive and inferential statistics comprising frequency, percentage, Fisher’s exact test, and logistic regression were adopted in analysing the data. Results. Less than half (46.9%) of the children completed their CWC schedules. Meanwhile, caregivers’ knowledge on CWC was 97.7%. Children aged 37–48 months (AOR = 0.42, 95%CI = 0.21–0.86, p=0.017) and 49–59 months (AOR = 0.27, 95%CI = 0.10–0.77, p=0.014), respectively, had lower odds of completing CWC. Children with caregivers not having any formal education also had lower odds of completing CWC (AOR = 0.45, 95%CI = 0.21–0.95, p=0.036). Conclusion. Educational programmes on the importance of CWC completion should focus on caregivers with children aged 37 months and above and those caregivers with low educational level. It is further recommended that studies be conducted to explore the extent of association between caregivers’ marital status, occupation, level of knowledge, and child CWC completion in the Garu-Tempane District.

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Section: Discussionsupporting

confidence: 93%

Knowledge and Other Predictors of Child Welfare Clinic Completion among Children Aged 24–59 Months in the Garu-Tempane District of Northern Ghana: A Cross-Sectional Study of Caregivers

Nibelo

Manu

2020

Advances in Preventive Medicine

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“…Indeed, the data indicate the presence of unmeasured (omitted) variables operating at the cluster level that are associated with the use of bed nets. In this respect, this study echoes what prior studies have found in connection with malaria prevention [ 12 ] and other health areas [ 44 , 45 ]. While this study does not allow us to ascertain what these variables are, it is possible that they include factors related to community mobilization efforts, community engagement in malaria prevention efforts, housing density, and prevailing types of dwelling structures, such as the use or non-use of window netting.…”

Section: Discussionsupporting

confidence: 90%

Factors associated with caregivers’ consistency of use of bed nets in Nigeria: a multilevel multinomial analysis of survey data

Babalola

Adedokun

McCartney-Melstad

et al. 2018

Malar J

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BackgroundMalaria remains endemic in Nigeria despite programmes and policies put in place toward malaria elimination. Long-lasting insecticidal nets have been documented to offer protection from malaria by preventing mosquito bites. While many studies have examined the factors associated with the use of bed nets in Nigeria and across Africa, little information is available on the factors associated with consistency of use of bed nets.MethodsThe data for this study were derived from a household survey conducted in three states in Nigeria (Akwa Ibom, Kebbi and Nasarawa) between July and September 2015 by the Health Communication Capacity Collaborative, a 5-year cooperative agreement supported by the United States Agency for International Development and the US President’s Malaria initiative and led by the Johns Hopkins Center for Communication Programs. The analysis was limited to a total of 3884 men and women selected from 2863 households with at least one bed net. Multilevel multinomial logistic regression was used to assess the factors associated with consistency of use of bed nets.ResultsThe findings revealed 43.2% of the respondents use bed nets every night, while 38.4% use bed nets most nights. The factors associated with using a bed net every night rather than rarely or never using a bed net included sociodemographic and household variables (age, gender, religion, household size, net density, and household wealth), ideational variables (perceptions about severity, susceptibility, self-efficacy to use nets, and response-efficacy of bed net; awareness of place of purchase; willingness to pay for bed nets; attitudes towards net use; and descriptive norm about nets), and state of residence. The three study states differ significantly in terms of most of the independent variables included in the estimated model.ConclusionsThe study recommends that efforts designed to promote consistent use of bed nets should be state-specific and include strategies targeting ideational variables. Furthermore, given the significance of unmeasured heterogeneity at the cluster level, strategies to engage and mobilize the community, such as community dialogue, home visits and engaging community leadership, are relevant.

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“…This was done because the variables are not directly available in the DHS data. Most studies that have analysed community-level variables using DHS data adopted the method [ 28 , 29 , 48 ]. In addition, to the selected individual-level and community-level variables, three variables were selected for statistical control.…”

Section: Methodsmentioning

confidence: 99%

Multilevel analysis of factors associated with assistance during delivery in rural Nigeria: implications for reducing rural-urban inequity in skilled care at delivery

Solanke

Rahman

2018

BMC Pregnancy Childbirth

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BackgroundStudies have observed rural-urban inequity in the use of skilled delivery in Nigeria. A number of studies have explicitly examined associated factors of assistance during delivery in rural areas. However, the studies so far conducted in rural Nigeria have investigated mainly individual-level characteristics with near exclusion of community-level characteristics. Also, most of the studies that have investigated community-level influence on use of maternal healthcare services in Nigeria did not isolate rural areas for specific research attention. The objective of this study was to investigate the individual-level and community-level characteristics associated with assistance during delivery in rural Nigeria.MethodsThe study analysed women data of 2013 Nigeria Demographic and Health Survey. A weighted sample size of 12,665 rural women was analysed. The outcome variable was assistance during delivery, dichotomised into ‘skilled assistance’ and ‘unskilled assistance’. The explanatory variables are selected individual-level characteristics (maternal education, parity, age at first birth, religion, healthcare decision, employment status, access to mass media, and means of transportation); and selected community-level characteristics (community literacy level, community childcare burden, proportion of women employed outside agriculture, proportion of women who perceived distance to facility as a big problem, community poverty level, and geographical region). The mixed-effects logistic regression was applied.ResultsDuring the most recent deliveries, 23.0% of rural women utilised skilled assistance compared with 77.0% who utilised unskilled assistance. Maternal education, parity, religion, healthcare decision, access to mass media, and means of transportation were the individual-level characteristics that revealed significant effects on the likelihood of utilising skilled assistance during delivery, while community literacy level, community poverty level, community perception of distance to health facility, and geographic region were the community-level characteristics that revealed significant effects on the odds of using skilled assistance during delivery. Results of Intra-Class Correlation (ICC) supported significant community-level effects on the likelihood of using skilled assistance during delivery.ConclusionsAssistance during delivery is influenced by individual-level and community-level characteristics. Health policies and programmes seeking to reduce rural-urban inequity in skilled delivery should endeavour to identify and address important factors at both the individual and community levels of the social environment.

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Individual versus community-level measures of women decisionmaking involvement and child survival in Nigeria

Abstract: RESEARCHThis open-access article is distributed under Creative Commons licence CC-BY-NC 4.0.

Cited by 10 publications

References 16 publications

Knowledge and Other Predictors of Child Welfare Clinic Completion among Children Aged 24–59 Months in the Garu-Tempane District of Northern Ghana: A Cross-Sectional Study of Caregivers

Knowledge and Other Predictors of Child Welfare Clinic Completion among Children Aged 24–59 Months in the Garu-Tempane District of Northern Ghana: A Cross-Sectional Study of Caregivers

Factors associated with caregivers’ consistency of use of bed nets in Nigeria: a multilevel multinomial analysis of survey data

Multilevel analysis of factors associated with assistance during delivery in rural Nigeria: implications for reducing rural-urban inequity in skilled care at delivery

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