12 research outputs found

    Additional file 1: Table S1. of Improving the effectiveness of sickness benefit case management through a public-private partnership? A difference-in-difference analysis in eighteen Danish municipalities

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    Predicted average sickness benefit rates in the intervention and the control municipalities. The data stems from the report ‘Framework conditions of Danish municipalities in relation to employment interventions’ [30]. The data consist of a broad range of unique individual, municipal and regional level administrative register data for all Danish municipalities. Graversen et al. [30] coded 145 variables for measuring several individual, municipal and regional characteristics that may affect the number of persons receiving sickness benefits exceeding four weeks. The individual characteristics included labour market experience, housing composition, and use of health care services. The municipal and regional characteristics included unemployment rate in the commuting area, number of inhabitants, and composition of job skills among employed people. (DOCX 14 kb

    Additional file 2: Fig. S1. of Improving the effectiveness of sickness benefit case management through a public-private partnership? A difference-in-difference analysis in eighteen Danish municipalities

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    Pre-intervention development in hazard ratio (HR) of sickness benefit duration. Intervention and control municipalities separately. The data stem from the present study and the graphs are, thus, based on individual level administrative register data from a selection of Danish municipalities. The graphs show whether the pre-intervention development in the sickness benefit duration differed significantly between the intervention municipalities and the control municipalities jointly (panel a) as well as between each intervention municipality and its two corresponding control municipalities separately (panel b-g). (DOCX 351 kb
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