Dataset Information

Factors Influencing Health Facility Delivery in Predominantly Rural Communities across the Three Ecological Zones in Ghana: A Cross-Sectional Study.

ABSTRACT:

Background

Maternal and neonatal mortality indicators remain high in Ghana and other sub-Saharan African countries. Both maternal and neonatal health outcomes improve when skilled personnel provide delivery services within health facilities. Determinants of delivery location are crucial to promoting health facility deliveries, but little research has been done on this issue in Ghana. This study explored factors influencing delivery location in predominantly rural communities in Ghana.

Methods

Data were collected from 1,500 women aged 15-49 years with live or stillbirths that occurred between January 2011 and April 2013. This was done within the three sites operating Health and Demographic Surveillance Systems, i.e., the Dodowa (Greater Accra Region), Kintampo (Brong Ahafo Region), and Navrongo (Upper-East Region) Health Research Centers in Ghana. Multivariable logistic regression was used to identify the determinants of delivery location, controlling for covariates that were statistically significant in univariable regression models.

Results

Of 1,497 women included in the analysis, 75.6% of them selected health facilities as their delivery location. After adjusting for confounders, the following factors were associated with health facility delivery across all three sites: healthcare provider's influence on deciding health facility delivery, (AOR = 13.47; 95% CI 5.96-30.48), place of residence (AOR = 4.49; 95% CI 1.14-17.68), possession of a valid health insurance card (AOR = 1.90; 95% CI 1.29-2.81), and socio-economic status measured by wealth quintiles (AOR = 2.83; 95% CI 1.43-5.60).

Conclusion

In addition to known factors such as place of residence, socio-economic status, and possession of valid health insurance, this study identified one more factor associated with health facility delivery: healthcare provider's influence. Ensuring care provider's counseling of clients could improve the uptake of health facility delivery in rural communities in Ghana.

SUBMITTER: Enuameh YA

PROVIDER: S-EPMC4816577 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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Publications

Factors Influencing Health Facility Delivery in Predominantly Rural Communities across the Three Ecological Zones in Ghana: A Cross-Sectional Study.

Enuameh Yeetey Akpe Kwesi YA Okawa Sumiyo S Asante Kwaku Poku KP Kikuchi Kimiyo K Mahama Emmanuel E Ansah Evelyn E Tawiah Charlotte C Adjei Kwame K Shibanuma Akira A Nanishi Keiko K Yeji Francis F Agyekum Enoch Oti EO Yasuoka Junko J Gyapong Margaret M Oduro Abraham Rexford AR Quansah Asare Gloria G Hodgson Abraham A Jimba Masamine M Owusu-Agyei Seth S

PloS one 20160331 3

<h4>Background</h4>Maternal and neonatal mortality indicators remain high in Ghana and other sub-Saharan African countries. Both maternal and neonatal health outcomes improve when skilled personnel provide delivery services within health facilities. Determinants of delivery location are crucial to promoting health facility deliveries, but little research has been done on this issue in Ghana. This study explored factors influencing delivery location in predominantly rural communities in Ghana.<h4 ...[more]

PMID: 27031301

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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:BackgroundUncommon and rare adverse events (AEs), with delayed onset may not be detected before new drugs are licensed and deployed. The present study examined the post licensure safety of dihydroartemisinin-piperaquine (DHP) as an additional treatment for malaria in Ghana. The relationship between the incidence of AEs, treatment completion rate, participant characteristics and concomitant medications are reported.MethodsA study conducted from September 2013 to June 2014 in Navrongo, Kintampo and Dodowa health research centres in Ghana is presented. Participants had confirmed malaria and no known allergy to study drug. Patients provided informed consent and had their symptoms and results of their clinical examinations documented. Treatment with Eurartesim® (20/160mg dihydroartemisinin and 40/320mg piperaquine by Sigma-Tau Incorporated) was given, according to the body weight of patients. First treatment doses were under observation but the second and third doses were taken at home except in a sub-study involving a nested cohort. Patients were contacted at Day 5 (± 2 days) either on telephone or by a home visit to document any AEs experienced. Patients were asked to report to the study team any other AEs that occurred within 28 days post-treatment. All patients in the nested cohort had electrocardiogram (ECG).FindingsA total of 4563 patients, 52.1% females and 48.2% <6 years completed the study. A total of 444 patients were enrolled into the nested cohort. About 33% had temperature ≥ 37.5°C at enrolment. Approximately 3.4% reported taking prior antimalarials, 19.4% other medications and 86% took at least one concomitant medication. Incidence of AEs was 7.6% including infections (4.6%), gastrointestinal disorders (1.0%) and local reactions at the site of venesection (0.5%). Others were respiratory disorders (0.4%) and nervous system disorders (0.3%). There were nine adverse events of special interest (AESI); itching/pruritus (7), dizziness (1), and skin lesions (1). Patients who took medications prior to enrolment had higher incidence of AEs compared with those without (9.3% vs. 6.1%; P<0.001). Statistically significant associations were found between the reported AEs and age of patients (P<0.001), their body mass index (BMI) (P< 0.001) and parasite densities (P< 0.001).ConclusionDihydroartemisinin-Piperaquine was well tolerated with no serious safety concerns identified. Obesity and prior enrolment medication were among significant factors associated with increased AEs reporting.

Project description:BackgroundUnderstanding the ecology of larval malaria and lymphatic filariasis mosquitoes in a changing environment is important in developing effective control tools or programmes. This study characterized the breeding habitats of Anopheles mosquitoes in rural communities in different ecological zones in Ghana during the dry and rainy seasons.MethodsThe spatio-temporal distribution, species composition, and abundance of larval Anopheles mosquitoes in breeding habitats were studied in five locations in three ecological zones of Ghana. These were Anyakpor (coastal savannah area), Duase (forest area), and Libga, Pagaza, and Kpalsogu (Sahel savannah area). Larvae were collected using standard dippers and were raised in the insectary for identification.ResultsOut of a total of 7984 mosquito larvae collected, 2152 (27.26%) were anophelines and were more abundant in the rainy season (70.82%) than in the dry season (29.18%). The anophelines comprised 2128 (98.88%) An. gambiae s.l., 16 (0.74%) An. rufipes, and 8 (0.37%) An. pharoensis. In the coastal savannah and forest zones, dug-out wells were the most productive habitat during the dry (1.59 larvae/dip and 1.47 larvae/dip) and rainy seasons (11.28 larvae/dip and 2.05 larvae/dip). Swamps and furrows were the most productive habitats in the Sahel savannah zone during the dry (0.25 larvae/dip) and rainy (2.14 larvae/dip) seasons, respectively. Anopheles coluzzii was the most abundant sibling species in all the ecological zones. Anopheles melas and An. arabiensis were encountered only in the coastal savannah and the Sahel savannah areas, respectively. Larval habitat types influenced the presence of larvae as well as larval density (p < 0.001). The land-use type affected the presence of Anopheles larvae (p = 0.001), while vegetation cover influenced larval density (p < 0.05).ConclusionThe most productive habitats were dug-out wells in the coastal savannah and forest zones, and furrows from irrigated canals in the Sahel savannah zone. Anopheles coluzzii was the predominant vector species in all the ecological zones. The abundance of Anopheles breeding habitats and larvae were influenced by anthropogenic activities. Encouraging people whose activities create the larval habitats to become involved in larval source management such as habitat manipulation to stop mosquito breeding will be important for malaria and lymphatic filariasis control.

Project description:BackgroundAn unequal distribution of health personnel, leading to unfavourable differences in health status between urban and rural populations, is a serious cause for concern globally. Part of the solution to this problem lies in attracting medical doctors to rural, remote communities, which presents a real challenge. The present study therefore explored the factors that influence medical doctors' decision to practise in rural Ghana.MethodsWe conducted a cross-sectional descriptive study based on questionnaires. Participants were doctors working in health facilities in the districts and rural areas of the Northern Region, Ghana. The qualitative data analysis consisted of an iterative process of open, axial and selective coding.ResultsWe administered the questionnaires to 40 doctors, 27 of whom completed and returned the form, signalling a response rate of 67.5%. The majority of the doctors were male (88.9%) and had been trained at the University for Development Studies, School of Medicine and Health Sciences (UDS-SMHS) (63%). Although they had chosen to work in the remote areas, they identified a number of factors that could prevent future doctors from accepting rural postings, such as: a lack of social amenities, financial and material resources; limited career progression opportunities; and too little emphasis on rural practice in medical school curricula. Moreover, respondents flagged specific stakeholders who, in their opinion, had a major role to play in the attraction of doctors and in convincing them to work in remote areas.ConclusionsThe medical doctors we surveyed had gravitated to the rural areas themselves for the opportunity to acquire clinical skills and gain experience and professional independence. Nevertheless, they felt that in order to attract such cadre of health professionals to rural areas and retain them there, specific challenges needed addressing. For instance, they called for an enforceable, national policy on rural postings, demanding strong political commitment and leadership. Another recommendation flowing from the study findings is to extend the introduction of Community-Based Education and Service (COBES) or similar curriculum components to other medical schools in order to prepare students for rural practice, increasing the likelihood of them accepting rural postings.

Project description:BackgroundThere is evidence that supervised delivery has the potential to improve birth outcomes for both women and newborns. However, not all women especially in low-income settings like Ghana use supervised delivery services during childbirth. The purpose of this study was to estimate the prevalence of supervised delivery and determine factors that influence use of supervised delivery services in a local district of Ghana.MethodsA retrospective cross-sectional survey of 322 randomly sampled postpartum women who delivered between January and December 2016 in the Garu-Tempane District was conducted. Structured questionnaires were used to collect data. Descriptive, binary and multivariate logistic regression analysis techniques were used to analyse data.ResultsAlthough antenatal care attendance among respondents was very high 291(90.4%), prevalence of supervised birth was only 219(68%). More than a quarter 103(32%) of the postpartum women delivered their babies at home without skilled birth attendants. After controlling for possible confounders in multivariable logistic regression analyses, factors that strongly independently predicted supervised delivery were religion (p < 0.01), distance to health facility (p < 0.05), making at least 4 antenatal care visits (p < 0.01), national health insurance scheme registration (p < 0.01), satisfaction with services received during antenatal care (p < 0.01), need partner's approval before delivering in health facility (p < 0.01), woman's thoughts that her religious beliefs prohibited health facility delivery(p < 0.01), and woman's belief that there are norms in her community that did not support health facility delivery (p < 0.01).ConclusionThere is need for targeted interventions, including community mobilization and health education, and male partner involvement to help generate local demand for, and uptake of, supervised delivery services. Improvement in the quality of services in health facilities, including ensuring respect and dignity for service users, would also be essential.

Dataset Information

Factors Influencing Health Facility Delivery in Predominantly Rural Communities across the Three Ecological Zones in Ghana: A Cross-Sectional Study.

Background

Methods

Results

Conclusion

Publications

Factors Influencing Health Facility Delivery in Predominantly Rural Communities across the Three Ecological Zones in Ghana: A Cross-Sectional Study.

Similar Datasets

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