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Determinants of use of supervised delivery care under Ghana’s fee exemption policy for maternal healthcare: the case of the Central Region

Overview of attention for article published in BMC Pregnancy and Childbirth, July 2016
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Title
Determinants of use of supervised delivery care under Ghana’s fee exemption policy for maternal healthcare: the case of the Central Region
Published in
BMC Pregnancy and Childbirth, July 2016
DOI 10.1186/s12884-016-0960-6
Pubmed ID
Authors

Henrietta Asante-Sarpong, Adobea Yaa Owusu, Sheela Saravanan, Ernest Appiah, Mumuni Abu

Abstract

Improving access to supervised and emergency obstetric care resources through fee reduction/exemption maternity care initiatives has been touted as one major strategy to avoiding preventable maternal deaths. Evaluations on the effect of Ghana's fee exemption policy for maternal healthcare have largely focused on how it has influenced health outcomes and patterns of use of supervised care with little attention to understanding the main factors influencing use. This study therefore sought to explore the main individual and health system factors influencing use of delivery care services under the policy initiative in the Central Region. A cross-sectional study was conducted using 412 mothers with children aged less than one year in one largely rural and another largely urban districts in the Central Region of Ghana from September to December 2013. Data were collected using a questionnaire survey on the socio-demographic characteristics of mothers, their knowledge and use of care under the fee free policy. Chi-square and Binary Logistic Regression tests were used to evaluate the main determinants of delivery care use under the policy. Out of the 412 mothers interviewed, 268 (65 %) reported having delivered their most recent birth under the fee exemption policy even though awareness about the policy was almost universal 401 (97.3 %) among respondents. Utilization however differed for the two study districts. Respondents in the Cape Coast Metropolis (largely urban) used delivery service more (75.7 %) than those in the largely rural Assin North Municipal area (54.4 %). Binary logistic regression results identified maternal age, parity, religion, place of residence, awareness and knowledge about the fee exemption policy for maternal healthcare as significantly associated with the likelihood of delivery care use under the policy. The likelihood of using supervised delivery care under the policy was lower for mothers aged 20-29 compared to those in the age bracket of 40-49 (Odds ratio (OR) = 0.069, p = 0.003). For their index (last child), mothers who already had 1, 2 or 3 births were more likely to deliver under the policy than those with five or more births. Mothers living in urban areas were 3.79 times more likely to use delivery services under the policy than those living in rural areas (OR = 3.793, p = 0.000). The likelihood of using delivery services under the policy was higher for mothers who were aware and had full knowledge of the total benefit package of the policy (OR = 13.820, p = 0.022 and OR = 2.985, p = 0.001 for awareness and full knowledge respectively). Delivery service use under the free maternal healthcare policy is relatively low (65 %) when compared with nearly universal awareness (97.3 %) about the policy. Factors influencing delivery service use under the policy operate at both individual and policy implementation levels. Effective interventions to improve delivery service use under the policy should target the underlying individual and health policy implementation factors identified in the study.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 127 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 18%
Researcher 20 16%
Student > Ph. D. Student 14 11%
Student > Bachelor 8 6%
Lecturer 7 6%
Other 23 18%
Unknown 32 25%
Readers by discipline Count As %
Nursing and Health Professions 28 22%
Medicine and Dentistry 22 17%
Social Sciences 22 17%
Psychology 4 3%
Economics, Econometrics and Finance 4 3%
Other 14 11%
Unknown 33 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 July 2016.
All research outputs
#18,466,238
of 22,881,154 outputs
Outputs from BMC Pregnancy and Childbirth
#3,483
of 4,208 outputs
Outputs of similar age
#279,142
of 363,105 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#78
of 94 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,208 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 363,105 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.