2021 Survey Dataset of Free Cancer Screening for Community Elderly in Jiangsu Province (N=1503)cancer checkup Jiangsu
Description
This dataset contains survey data of free cancer screening physical examinations for retired elderly residents aged 60-70 in communities of Jiangsu Province in 2021, with a total sample size of 1503. It is exclusively constructed for the empirical research of the dataset contributors, and can only be used for the validation of the research results of the corresponding paper. The core research hypotheses are as follows: the free cancer screening policy for the elderly aged 65 and above will lead to a significant positive discontinuity in medical expenditures at the policy threshold; the policy effect has temporal heterogeneity, namely a short-term surge in medical expenditures and a long-term cost suppression effect; meanwhile, the policy effect shows significant differences among the elderly groups with different genders and different regional economic levels. The dataset comprehensively includes the demographic characteristics (age, gender, residential area), socioeconomic attributes (pension level, living status, commercial medical insurance participation), health-related indicators (chronic disease status, self-rated health, cancer screening awareness and frequency of health information attention) and the core outcome indicator (annual medical expenditure) of the research subjects. All data were jointly collected by the Jiangsu Social Insurance Association and the Institute of Elderly Security of Hohai University, with research subjects selected via a multi-stage cluster random sampling method. The data were cross-validated with provincial health records and de-identified, with an overall error rate of less than 1%, featuring a standardized structure, clear definition and unified assignment of all indicators. This dataset can be used to verify the causal effect of the free cancer screening public health policy on the medical expenditures of the elderly population, and to explore the temporal and group heterogeneity of the policy effect, as well as the mediating role of health information attention behavior in the medical consumption behavior of the elderly. Data interpretation should be combined with the background of China's public health policies and population aging, and carried out based on empirical methods such as regression discontinuity design, subgroup regression and mechanism analysis. The specific coding and assignment rules of each indicator can be referred to the appendix of the relevant research paper by the dataset contributors.
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The collection of this dataset was carried out in cooperation with the relevant local government departments. After undergoing strict review and verification by local governments, relevant institutions and autonomous organizations, the data collection was implemented under the full guidance of the Academic Ethics Norms of Hohai University. Informed consent was obtained from all respondents prior to data collection, on the basis of which de-identified data collection of the research-required data was conducted. All personally identifiable information was strictly excluded, and only structured indicator data required for the research were retained to protect the privacy and security of the respondents. After the completion of data collection, the Stata 18 statistical analysis software was used to conduct systematic data cleaning. Standardized data preprocessing was completed through standardized procedures such as missing value processing, outlier detection and consistency check, forming a standardized dataset with a regular structure, unified indicators and direct applicability to empirical analysis. The specific workflow and operational details of relevant data cleaning can be referred to the relevant research paper of the dataset contributors.