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| J Korean Med Assoc > Volume 69(7); 2026 > Article |
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Data availability
A data file is available from https://doi.org/10.5124/jkma.26.0038.
Data Set 1. Individual-level (row-level) demographic and occupational data were provided for the active workforce sample (n=161). The dataset records original and standardized workplace types, such as university hospital, general hospital, and private clinic, as well as regional categories. It also provides baseline weights (`simple_weight` and `simple_fte`) for each workplace type, including 1.0 for university hospitals and 0.6 for private clinics, to calculate simple full-time equivalents (FTEs). The binary indicator `included_in_7region` distinguishes the domestic workforce (n=145) included in the core spatial analysis from excluded cases, such as physicians located abroad or categorized as unknown.
jkma-26-0038-Data-Set-1.csvData Set 2. This dataset contains the mathematical parameters, discount coefficients, and formulas used to calculate policy-simulated effective full-time equivalents (FTEs) across 3 primary institutional categories: tertiary/advanced hospitals (n=117), other institutions (n=33), and private-practice participation (n=11). It outlines the specific coefficients, including 0.85, 0.75, and 0.70, and the participation probability (pr=0.20 for private-practice clinicians) used to model active workforce capacity under targeted policy interventions.
jkma-26-0038-Data-Set-2.csvData Set 3. This dataset provides the core input for the regional hub-and-spoke redistribution analysis. It aggregates the baseline active headcount of the domestic workforce (n=145) across the 7 standardized administrative regions: Seoul metropolitan area, Gangwon, Chungcheong, Honam, Daegu-Gyeongbuk, Busan-Gyeongnam, and Jeju. It also presents the calculated effective full-time equivalent (FTE) values under Scenario A for each region, enabling comparative modeling against baseline distributions.
jkma-26-0038-Data-Set-3.csv
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