Estimating the efficiency of primary health care services and its determinants: evidence from provincial panel data in China

Medical insurance-related professionals' identification of the benefits of the medical insurance system in Northeast China: a cross-sectional study

BACKGROUND

The identification of the benefits of the medical insurance system (IBMIS) serves as an important indicator of the effectiveness of medical insurance policy implementation and provides valuable feedback during the ongoing reform phase of the medical insurance system (MIS). This research aims to analyze the IBMIS from the perspective of medical insurance-related professionals and to identify potential associate factors with IBMIS.

METHODS

In 2021, we conducted a cross-sectional questionnaire survey (n = 1829) in Heilongjiang Province, located in Northeast China, to collect data. Interviewees were selected using a multi-stage stratified cluster random sampling method. A binary logistic regression model was employed to identify the factors influencing the IBMIS.

RESULTS

Overall, 66% (1,207) of professionals associated with medical insurance exhibited a high IBMIS. The logistic regression model indicated that a high IBMIS was positively correlated with the following dimensions: policy capacity (OR = 1.562, 95% CI: 1.375-1.775), financial burden (OR = 1.512, 95% CI: 1.347-1.699), and convenience (OR = 1.300, 95% CI: 1.171-1.442). Four significant factors (P < 0.05) contributing to a high IBMIS include: "Relief of financial burden for people with serious diseases" (OR = 2.288, 95% CI: 1.740-3.007), "Medical insurance's ability to address major problems that people expect" (OR = 1.565, 95% CI: 1.175-2.085), "Governance capacity of the medical insurance administrative agencies and management institutions" (OR = 1.472, 95% CI: 1.111-1.951), and "Effectiveness of governance for off-site medical reimbursement issues" (OR = 1.445, 95% CI: 1.036-2.014).

CONCLUSION

The policy capacity, financial burden, and convenience of the MIS have a positive impact on the IBMIS. Government departments can pay closer attention to these factors and formulate targeted intervention measures to improve the implementation effectiveness of medical insurance policies.

Efficiency evaluation and promoter identification of primary health care system in China: an enhanced DEA-Tobit approach

BACKGROUND

With Primary Health Care (PHC) being a cornerstone of accessible, affordable, and effective healthcare worldwide, its efficiency, especially in developing countries like China, is crucial for achieving Universal Health Coverage (UHC). This study evaluates the efficiency of PHC systems in a southwest China municipality post-healthcare reform, identifying factors influencing efficiency and proposing strategies for improvement.

METHODS

Utilising a 10-year provincial panel dataset, this study employs an enhanced Data Envelopment Analysis (DEA) model integrating Slack-Based Measure (SBM) and Directional Distance Function (DDF) with the Global Malmquist-Luenberger (GML) index for efficiency evaluation. Tobit regression analysis identifies efficiency determinants within the context of China's healthcare reforms, focusing on horizontal integration, fiscal spending, urbanisation rates, and workforce optimisation.

RESULTS

The study reveals a slight decline in PHC system efficiency across the municipality from 2009 to 2018. However, the highest-performing county achieved a 2.36% increase in Total Factor Productivity (TFP), demonstrating the potential of horizontal integration reforms and strategic fiscal investments in enhancing PHC efficiency. However, an increase in nurse density per 1,000 population negatively correlated with efficiency, indicating the need for a balanced approach to workforce expansion.

CONCLUSIONS

Horizontal integration reforms, along with targeted fiscal inputs and urbanisation, are key to improving PHC efficiency in underdeveloped regions. The study underscores the importance of optimising workforce allocation and skillsets over mere expansion, providing valuable insights for policymakers aiming to strengthen PHC systems toward achieving UHC in China and similar contexts.

Evaluating China's primary healthcare services' efficiency and spatial correlation: a three-stage DEA-Malmquist model

Introduction

Enhancing the efficiency of primary healthcare services is essential for a populous and developing nation like China. This study offers a systematic analysis of the efficiency and spatial distribution of primary healthcare services in China. It elucidates the fundamental landscape and regional variances in efficiency, thereby furnishing a scientific foundation for enhancing service efficiency and fostering coordinated regional development.

Methods

Employs a three-stage DEA-Malmquist model to assess the efficiency of primary healthcare services across 31 provincial units in mainland China from 2012 to 2020. Additionally, it examines the spatial correlation of efficiency distribution using the Moran Index.

Results

The efficiency of primary healthcare services in China is generally suboptimal with a noticeable declining trend, highlighting significant potential for improvement in both pure technical efficiency and scale efficiency. There is a pronounced efficiency gap among provinces, yet a positive spatial correlation is evident. Regionally, efficiency ranks in the order of East > Central > West. Factors such as GDP per capita and population density positively influence efficiency enhancements, while urbanization levels and government health expenditures appear to have a detrimental impact.

Discussion

The application of the three-stage DEA-Malmquist model and the Moran Index not only expands the methodological framework for researching primary healthcare service efficiency but also provides scientifically valuable insights for enhancing the efficiency of primary healthcare services in China and other developing nations.

Strengthening primary health care in low- and middle-income countries: furthering structural changes in the post-pandemic era

Strengthening primary health care (PHC) is the most cost-effective approach in low- and middle-income countries (LMICs) to achieve sustainable universal health coverage (UHC), protect against health shocks, and promote health and wellbeing for all people. It has been 45 years since PHC was put on the global agenda followed by multiple efforts to advocate for more funding and improved performance of PHC. Yet, investment in PHC is still insufficient and overall performance of PHC systems is weak in LMICs, resulting in increased vulnerability and poor health outcomes especially among marginalized populations. As countries recover from the COVID-19 pandemic, which exposed the fragility of PHC platforms, it is imperative to go beyond advocacy for PHC investments and make systemic changes to strengthen PHC as the foundation of resilient and equitable health systems. We propose five gamechangers to facilitate structural changes for strengthening PHC through a focused health systems approach: (i) integration of client-centered health services at PHC level; (ii) digitization of PHC services; (iii) efficiency gains invested in essential health services; (iv) strengthening management practices for PHC at district and facility levels; and (v) advancing community engagement for PHC. To be successful, the implementation of the gamechangers must be contextualized and focus on achieving sustainable health outcomes, and therefore use implementation approaches that link essential health services to health outcomes. Through this way countries will maximize the possibility of achieving UHC and attaining the ambitious health targets of the Sustainable Development Goals (SDGs) by 2030.