Willingness to Pay for Faecal Compost by Farmers in Southern Ghana

The use of faecal waste for agricultural production is practiced by farmers in most parts of Ghana. However, information about farmer acceptability and willingness to pay is not widely reported.  Using choice experiment, this study analyse willingness to pay for faecal compost by farmers in Ningo-Prampram and Shai-Osudoku in Southern Ghana. Data was collected from 200 randomly sampled farming households and analysed using basic and hybrid conditional logit models. Results show farmers’ marginal willingness to pay values of US$0.51 for packaging only, US$ 0.32 for labeling only and US$ 0.82 for packaging and labeling of 50kg faecal compost. Farmers` willingness to pay was significantly influenced by their knowledge on faecal waste re-use in agriculture and experience with use of animal manure. Product attributes such as price, packaging and labeling as well as farmer’s socio-demographic characteristics, such as monthly household income, household size and age also significantly influence farmers’ willingness to pay. Keywords: Choice Experiment, hybrid Conditional Logit, Faecal Compost, Ghan

Motivation and incentive preferences of community health officers in Ghana: an economic behavioral experiment approach.

BACKGROUND: Health worker shortage in rural areas is one of the biggest problems of the health sector in Ghana and many developing countries. This may be due to fewer incentives and support systems available to attract and retain health workers at the rural level. This study explored the willingness of community health officers (CHOs) to accept and hold rural and community job postings in Ghana. METHODS: A discrete choice experiment was used to estimate the motivation and incentive preferences of CHOs in Ghana. All CHOs working in three Health and Demographic Surveillance System sites in Ghana, 200 in total, were interviewed between December 2012 and January 2013. Respondents were asked to choose from choice sets of job preferences. Four mixed logit models were used for the estimation. The first model considered (a) only the main effect. The other models included interaction terms for (b) gender, (c) number of children under 5 in the household, and (d) years worked at the same community. Moreover, a choice probability simulation was performed. RESULTS: Mixed logit analyses of the data project a shorter time frame before study leave as the most important motivation for most CHOs (β 2.03; 95 % CI 1.69 to 2.36). This is also confirmed by the largest simulated choice probability (29.1 %). The interaction effect of the number of children was significant for education allowance for children (β 0.58; 95 % CI 0.24 to 0.93), salary increase (β 0.35; 95 % CI 0.03 to 0.67), and housing provision (β 0.16; 95 % CI -0.02 to 0.60). Male CHOs had a high affinity for early opportunity to go on study leave (β 0.78; 95 % CI -0.06 to 1.62). CHOs who had worked at the same place for a long time greatly valued salary increase (β 0.28; 95 % CI 0.09 to 0.47). CONCLUSIONS: To reduce health worker shortage in rural settings, policymakers could provide "needs-specific" motivational packages. They should include career development opportunities such as shorter period of work before study leave and financial policy in the form of salary increase to recruit and retain them

Determinants of attending antenatal care at least four times in rural Ghana: analysis of a cross-sectional survey.

BACKGROUND: Improving maternal health is a global challenge. In Ghana, maternal morbidity and mortality rates remain high, particularly in rural areas. Antenatal care (ANC) attendance is known to improve maternal health. However, few studies have updated current knowledge regarding determinants of ANC attendance. OBJECTIVE: This study examined factors associated with ANC attendance in predominantly rural Ghana. METHODS: We conducted a cross-sectional study at three sites (i.e. Navrongo, Kintampo, and Dodowa) in Ghana between August and September 2013. We selected 1500 women who had delivered within the two years preceding the survey (500 from each site) using two-stage random sampling. Data concerning 1497 women's sociodemographic characteristics and antenatal care attendance were collected and analyzed, and factors associated with attending ANC at least four times were identified using logistic regression analysis. RESULTS: Of the 1497 participants, 86% reported attending ANC at least four times, which was positively associated with possession of national health insurance (AOR 1.64, 95% CI: 1.14-2.38) and having a partner with a high educational level (AOR 1.64, 95% CI: 1.02-2.64) and negatively associated with being single (AOR 0.39, 95% CI: 0.22-0.69) and cohabiting (AOR 0.57, 95% CI: 0.34-0.97). In site-specific analyses, factors associated with ANC attendance included marital status in Navrongo; marital status, possession of national health insurance, partners' educational level, and wealth in Kintampo; and preferred pregnancy timing in Dodowa. In the youngest, least educated, and poorest women and women whose partners were uneducated, those with health insurance were more likely to report at least four ANC attendances relative to those who did not have insurance. CONCLUSIONS: Ghanaian women with low socioeconomic status were less likely to report at least four ANC attendances during pregnancy if they did not possess health insurance. The national health insurance scheme should include a higher number of deprived women in predominantly rural communities

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

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

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

<div><p>Background</p><p>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.</p><p>Methods</p><p>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.</p><p>Results</p><p>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).</p><p>Conclusion</p><p>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.</p></div

Population indices of the study sites.

<p>Population indices of the study sites.</p

Map of Ghana showing the geographical location of the study sites.

<p>Map of Ghana showing the geographical location of the study sites.</p

Background characteristics of study participants (N = 1,497).

<p>Background characteristics of study participants (N = 1,497).</p

Determinants of health facility delivery across all three sites.

<p>Determinants of health facility delivery across all three sites.</p