Levels of Outpatient Benefit Coverage in China's EBMI, 2018

Xinjuan Zhou's dataset analyzes the association between China's Employees' Basic Medical Insurance outpatient pooling policy and outpatient service utilization. It uses cross-sectional data from the 2018 wave of the China Health and Retirement Longitudinal Study (CHARLS). The dataset includes analysis of outpatient visit probability, frequency, and out-of-pocket expenditures.

Use Cases

• Modeling the probability of outpatient visits based on insurance policy variables.
• Analyzing the frequency of outpatient service utilization among middle-aged insured individuals.
• Assessing out-of-pocket expenditure differences associated with varying levels of outpatient benefit coverage.
• Studying healthcare-seeking behavior for patients with multiple chronic conditions.

Strengths

• Dataset is based on the China Health and Retirement Longitudinal Study (CHARLS), a recognized longitudinal survey.
• Analysis includes specific statistical results, such as a 5.0 percentage point higher probability of outpatient visits associated with the policy.
• The dataset is licensed under CC-BY-4.0, permitting broad reuse with attribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is from a single cross-sectional wave (2018), limiting longitudinal analysis.

Provenance

Source

China Health and Retirement Longitudinal Study (CHARLS), 2018 wave.

Collection Method

Cross-sectional survey data analyzed with logistic regression, zero-inflated negative binomial regression, and Tobit models.

Time Range

2018

Freshness

Last updated 2026-05-28 17:43:00; freshness should be verified.

Geography

China