How Serious is the Economic Burden of Diabetes Mellitus in Hainan Province? A Study Based on "System of Health Account 2011"

Readiness of the primary health care units and associated factors for the management of hypertension and type II diabetes mellitus in Sidama, Ethiopia

Background

In low-income nations such as Ethiopia, noncommunicable diseases (NCDs) are becoming more common. The Ethiopian Ministry of Health has prioritized NCD prevention, early diagnosis, and management. However, research on the readiness of public health facilities to address NCDs, particularly hypertension and type II diabetes mellitus, is limited.

Methods

The study used a multistage cluster sampling method and a health facility-based cross-sectional study design. A total of 83 health facilities were evaluated based on WHO's Service Availability and Readiness Assessment (SARA) tool to investigate the availability of services and the readiness of the primary health care unit (PHCU) to manage type II diabetes and Hypertension. Trained data collectors interviewed with PHCU head or NCD focal persons. The study tried to investigate (1) the availability of basic amenities and the four domains: staff and guidelines, basic equipment, diagnostic materials, and essential medicines used to manage DM and HPN, (2) the readiness of the PHCU to manage DM and HPN. The data were processed by using SPSS version 24. Descriptive statistics, including frequency and percentage, inferential statistics like the chi-square test, and logistic regression models were used to analyze the data.

Results

Of the 82 health facilities, only 29% and 28% of the PHCU identified as ready to manage HPN and DM. Facility type, facility location, presence of guidelines, trained staff, groups of antihypertensive and antidiabetic medicines had a significant impact (P < 0.05) on the readiness of the PHCU to manage HPN and DM at a 0.05 level of significance. Facilities located in urban were 8.2 times more likely to be ready to manage HPN cases than facilities located in rural (AOR = 8.2, 95% CI [2.4-28.5]) and P < 0.05.

Conclusion and recommendation

The results identified comparatively poor and deprived readiness to offer HPN and DM services at lower-level health facilities(health centers). Equipping the lower-level health facilities with screening and diagnostic materials, essential medicines, and provision of basic training for the health care providers and NCD guidelines should be available, especially in the lower health care facilities.

Case study of the beneficiary group distribution of curative care expenditure based on SHA 2011 in Xinjiang autonomous region, China

BACKGROUND

The System of Health Accounts 2011 (SHA 2011) assists in health policy analysis and health expenditure comparison at the international level. Based on SHA 2011, this study analysed the distribution of beneficiary groups of curative care expenditure (CCE) in Xinjiang, to present suggestions for developing health policies.

METHODS

A total of 160 health institutions were selected using the multistage stratified random sampling method. An analysis of the agewise CCE distribution, institutional flow, and disease distribution was then performed based on the SHA 2011 accounting framework.

RESULTS

In 2016, the CCE in Xinjiang was ¥50.05 billion, accounting for 70.18% of current health expenditure and 6.66% of the gross domestic product. The per capita CCE was ¥2366.56. The CCE was distributed differently across age groups, with the highest spending on people over the age of 65 years. The CCE was highest for diseases of the circulatory, respiratory and digestive systems. Most of the expenditure was incurred in hospitals and, to a lesser extent, in primary healthcare institutions. Family health expenditure, especially on children aged 14 years and below, accounted for a relatively high proportion of the CCE.

CONCLUSION

SHA 2011 was used to capture data, which was then analysed according to the newly added beneficiary dimension. The findings revealed that the use of medical resources is low, the scale of primary medical institutions needs to be significantly expanded and there is a need to optimise the CCE financing scheme. Therefore, the health policymaking department should optimise the relevant policies and improve the efficiency of health services.

The effect of population distribution measures on evaluating spatial accessibility of primary health-care institutions: A case study from China

Improvement of the equality of geographical allocation of limited health-care resources requires an accurate evaluation of spatial accessibility of the facilities. The adoption of appropriate population distribution measures is one of the leading factors affecting such an evaluation. Using primary health-care institutions in Hainan, China as an example, this study aimed to explore the disparities embedded in spatial accessibility evaluations based on six common measures of population distribution, namely community/ village population (VillagePop), average population distribution (AveragePop), population distribution by night-time light intensity (NighttimelightPop) together with the public population databases LandScan, WorldPop and PoiPop for construction of the weights. The enhanced two-step floating catchment area method, two-way analysis of variance (ANOVA), Dunnett test, root mean square error and the mean absolute error were employed to assess and compare spatial accessibilities based on these different population distribution measures. The spatial accessibility of primary health-care institutions in Hainan was found to vary when plotted using the various population distribution measures mentioned. As indicated by the statistical outcomes of both ANOVA and the Dunnett test, using the spatial accessibility calculated by VillagePop as reference, those calculated by AveragePop and PoiPop were found to be significantly different. In addition, the spatial accessibilities calculated by AveragePop and PoiPop demonstrated higher error rates in the identification of underserved areas compared with the reference. Considering the limitations of public population databases, the adoption of night-time light data is highly recommended for estimating population distribution in the absence of high-resolution data.