The relationship between antenatal provider type and maternal care in rural Ghana: a cross‐sectional study

AtunahJay, SJ; Pettingell, Sandra L.; Ohene, S; Oakes, J. Michael; Borowsky, Iris Wagman

doi:10.1111/tmi.12098

Cited by 10 publications

(8 citation statements)

References 25 publications

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“…It is encouraging to note that all our study participants received care from either doctors or midwives, as is the situation in some advanced settings [ 24 ]. One previous study also reported that about 86 % of rural antenatal attendants in Ghana receive care from either midwives or doctors, and that women receiving antenatal care from these categories of health workers were more likely to have skilled attendance at delivery and post-natal care [ 25 ]. It should be noted however, that in other parts of the country especially in rural areas, like many sub-Saharan African countries, ANC clients are also seen by other health workers apart from doctors and midwives.…”

Section: Discussionmentioning

confidence: 99%

Public health facility resource availability and provider adherence to first antenatal guidelines in a low resource setting in Accra, Ghana

Amoakoh-Coleman

Agyepong

Kayode

et al. 2016

BMC Health Serv Res

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BackgroundLack of resources has been identified as a reason for non-adherence to clinical guidelines. Our aim was to describe public health facility resource availability in relation to provider adherence to first antenatal visit guidelines.MethodsA cross-sectional analysis of the baseline data of a prospective cohort study on adherence to first antenatal care visit guidelines was carried out in 11 facilities in the Greater Accra Region of Ghana. Provider adherence was studied in relation to health facility resource availability such as antenatal workload for clinical staffs, routine antenatal drugs, laboratory testing, protocols, ambulance and equipment.ResultsEleven facilities comprising 6 hospitals (54.5 %), 4 polyclinics (36.4 %) and 1 health center were randomly sampled. Complete provider adherence to first antenatal guidelines for all the 946 participants was 48.1 % (95 % CI: 41.8–54.2 %), varying significantly amongst the types of facilities, with highest rate in the polyclinics. Average antenatal workload per month per clinical staff member was higher in polyclinics compared to the hospitals. All facility laboratories were able to conduct routine antenatal tests. Most routine antenatal drugs were available in all facilities except magnesium sulphate and sulphadoxine-pyrimethamine which were lacking in some. Antenatal service protocols and equipment were also available in all facilities.ConclusionAlthough antenatal workload varies across different facility types in the Greater Accra region, other health facility resources that support implementation of first antenatal care guidelines are equally available in all the facilities. These factors therefore do not adequately account for the low and varying proportions of complete adherence to guidelines across facility types. Providers should be continually engaged for a better understanding of the barriers to their adherence to these guidelines.

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Section: Discussionmentioning

confidence: 99%

Public health facility resource availability and provider adherence to first antenatal guidelines in a low resource setting in Accra, Ghana

Amoakoh-Coleman

Agyepong

Kayode

et al. 2016

BMC Health Serv Res

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“…), as do those in rural areas (Arthur ; Atunah‐Jay et al . ). Some studies demonstrate a positive relationship between a woman's age and ANC usage (Addai ; Doku et al .…”

Section: Introductionmentioning

confidence: 97%

National health insurance scheme enrolment and antenatal care among women in Ghana: is there any relationship?

Dixon

Tenkorang

Luginaah

et al. 2013

Tropical Med Int Health

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Abstractobjectives The objective of this study was to examine whether enrolment in the National Health Insurance Scheme (NHIS) affects the likelihood and timing of utilising antenatal care among women in Ghana.methods Data were drawn from the Ghana Demographic and Health Survey, a nationally representative survey collected in 2008. The study used a cross-sectional design to examine the independent effects of NHIS enrolment on two dependent variables (frequency and timing of antenatal visits) among 1610 Ghanaian women. Negative binomial and logit models were fitted given that count and categorical variables were employed as outcome measures, respectively.results Regardless of socio-economic and demographic factors, women enrolled in the NHIS make more antenatal visits compared with those not enrolled; however, there was no statistical association with the timing of the crucial first visit. Women who are educated, living in urban areas and are wealthy were more likely to attend antenatal care than those living in rural areas, uneducated and from poorer households.conclusion The NHIS should be strengthened and resourced as it may act as an important tool for increasing antenatal care attendance among women in Ghana.

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“…Other studies that have analyzed the skilled health personnel category revealed that women who were attended to by midwives, nurses and doctors were far less likely to experience infant mortality compared to those attended to by relatives [38]. Studies on the relationship between antenatal provider, postnatal provider type and maternal care and infant mortality have been comprehensively explored [21,39], however studies on the influence of type of birth attendant on infant mortality have ill been carried out. It is necessary for other variables such as the length of practice of health service providers to be explored to provide more robust explanations.…”

Section: Discussionmentioning

confidence: 99%

Determinants of under Five Mortality in Ghana; A Logistic Regression Analysis Using Evidence from the Demographic and Health Survey (1988-2014)

Acheampong¹,

Avorgbedor²

2017

AJPHR

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A dramatic reduction in child mortality has been noted in Ghana in recent time and although the trend has been projected to continue to decline, studies have shown that the decline in under-five mortality has stalled and the effect more outstanding at different levels. Here we examine the issue of under five mortality using data from the demographic and health survey by examining the trends in under-five mortality between 1988-2014 and develop a predictive model to identify risk factors of under five mortality. Data from the Ghana Demographic and Health survey between 1988-2014 was used to conduct a retrospective analysis of recorded children data (0-5 years). A descriptive analysis of the explanatory and response variables was carried out followed by a subsequent trend analysis of under-five mortalities from 1988-2014. A logistic regression was used to predict the association between the explanatory variables and the dependent outcome variable. The study established that the decrease in under five mortality that Ghana witnessed from 1988-2014 was not significant and that more measures need to be put in place to reduce the phenomenon. =0.2898, p<0.05) were all strong predictors of under five mortality relative to other explanatory variables. The study identified that issues such as young maternal age, exclusive breast feeding beyond 6 months and unskilled or no assistance at birth were all contributors of under five mortality in Ghana and as such it is necessary for all these predictors to be addressed and factored during formulation and implementation of policies in an effort to curb under five mortality.

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The relationship between antenatal provider type and maternal care in rural Ghana: a cross‐sectional study

Cited by 10 publications

References 25 publications

Public health facility resource availability and provider adherence to first antenatal guidelines in a low resource setting in Accra, Ghana

Public health facility resource availability and provider adherence to first antenatal guidelines in a low resource setting in Accra, Ghana

National health insurance scheme enrolment and antenatal care among women in Ghana: is there any relationship?

Determinants of under Five Mortality in Ghana; A Logistic Regression Analysis Using Evidence from the Demographic and Health Survey (1988-2014)

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