BackgroundThe inequitable allocation of health resources is a worldwide problem, and it is also one of the obstacles facing for health services utilization in China. A new round of health care reform which contains the important aspect of improving the equity in health resource allocation was released by Chinese government in 2009. The aim of this study is to understand the changes of equity in health resource allocation from 2009 to 2013, and make a further inquiry of the main factors which influence the equity conditions in China.MethodsData resources are the China Health Statistics Yearbook (2014) and the China Statistical Yearbook (2014). Four indicators were chosen to measure the trends in equity of health resource allocation. Data were disaggregated by three geographical regions: west, central, and east. Theil index was used to calculate the degree of unfairness.ResultsThe total amount of health care resources in China had been increasing in recent years. However, the per 10, 000 km2 number of health resources showed a huge gap in different regions, and per 10, 000 capita health resources ownership showed a relatively small disparities at the same time. The index of health resources showed an overall downward trend, in which health financial investment the most unfair from 2009 to 2012 and the number of health institutions the most unfair in 2013. The equity of health resources allocation in eastern regions was the worst except for the aspect of health technical personnel allocation. The regional contribution rates were lower than that of the inter-regional contribution rates which were all beyond 60 %.ConclusionThe equity of health resource allocation improved gradually from 2009 to 2013. However, the internal differences within the eastern region still have a huge impact on the overall equity in health resource allocation. The tough issues of inequitable in health resource allocation should be resolved by comprehensive measures from a multidisciplinary perspective.

ObjectivesIn her quest to reduce maternal mortality, Ghana introduced a free maternal healthcare programme under the National Health Insurance Scheme. This study aimed to evaluate if women registered with the insurance had a better chance of accessing maternal healthcare services in two districts in Ghana.SettingWe conducted a cross-sectional quantitative study involving household interviews of all women of the reproductive age group (15–49 years) residing in Kintampo North Municipality and Kintampo South District in Ghana from May to July 2015. Logistics regression analysis at 95% CI was used to determine the independent associations between maternal health insurance and use of antenatal care, facility-based delivery and postnatal care services.ParticipantsWomen who had children aged 3–12 months were selected to take part in the study.ResultsWe observed that women with insurance are 39.5 times more likely to have a maximum of six antenatal care visits and 2.6 times more likely to have an average of four antenatal care visits than those without insurance. Additionally, they are 5.3 times more likely to have facility-based delivery than those without insurance. An association was also found between postnatal care use and insurance as women who do not have insurance are 12.0 (1/0.083) times more likely to receive postnatal care than those with insurance.ConclusionsPregnant women who registered with health insurance had at least four antenatal care visits and delivered in a health facility. However majority of them did not go for postnatal care.

Background. In the quest to prevent households from making catastrophic expenditures at the point of seeking healthcare, the government of Ghana introduced the National Health Insurance in 2003. However, people are reluctant to renew their membership. This study was, therefore, conducted to identify factors influencing the nonrenewal of National Health Insurance membership in the Ejisu-Juaben Municipality. Methods. A cross-sectional study was conducted among 427 respondents in the Ejisu-Juaben Municipality to ascertain factors influencing the nonrenewal of health insurance membership status. Data were entered and analyzed using Stata version 14. Univariate and multivariate analyses were performed to determine sociodemographic factors, household factors, and systemic factors influencing the nonrenewal of health insurance status. Statistical significance for all testing was set as p ≤ 0.05 . Results. Sociodemographic factors such as gender (AOR = 0.531; CI = 0.287–0.985) and educational level (AOR = 5.268; CI = 1.130–24.551)) were associated with the nonrenewal of health insurance membership. Income levels in Ghana Cedis were 500–1000 (AOR = 0.216; CI = 0.075–0.617) and 1001–2000 (AOR = 0.085; CI = 0.019–0.383). Systemic decision on factors such as clients’ satisfaction (AOR = 0.149; CI = 0.035–0.640), making copayment (AOR = 0.152; CI = 0,068–0.344), acquiring all prescribed drugs (AOR = 4.191; CI = 2.027–8.668), and awareness of mobile renewal (AOR = 3.139; CI = 1.462–6.739) was associated with nonrenewal of membership. Conclusions. The nonrenewal of health insurance membership was influenced by sociodemographic, household, and systemic factors. Therefore, the Municipal Health Directorate and the National Health Insurance Authority have to work on these factors to reach the target of 100% active coverage in the municipality.

Background: The government of Sierra Leone introduced Social Health Insurance Scheme as a measure to remove financial barriers that beset the people in accessing health to ensure universal coverage. Under this policy, the citizens were encouraged to subscribe to the scheme to avoid out of pocket payment for healthcare at the point of use. This study was conducted to find out the predictors of willingness among the people to pay for health insurance premium. Methods: A cross-sectional study design was employed in six selected districts in Sierra Leone. Quantitative data was collected for this study through the use of semi-structured questionnaire with a sample size of 1185 respondents. Data was analysed into descriptive and inferential statistics using the contingent valuation model. Statistical analysis was run at 5% significant level using Stata version 14.0 software. Results: The results showed that majority of the respondent are willing to join and pay a monthly premium of Le 10 000 (US$1.03) with an estimated mean contribution of about Le 14 089 (US$1.44) and the top five predictors of willingness to pay (WTP) were household monthly income, age, district of resident, gender, and educational qualification. Conclusion:The findings on predictors of WTP premium of Sierra Leone National Social Health Insurance (SLeNSHI), suggests that the socio-demographic characteristics of the population are important in premium design and payment. Efforts at improving the socio-economic statuses of the population could be helpful in premium design and payment.