Good Practices in Social Security Good Practices in Social Security

The identification and sharing of good practices helps social security organizations and institutions to improve their operational and administrative efficiency.

In the context of the ISSA, a good practice is defined as any type of experience (e.g. an action, a measure, a process, a programme, a project, or a technology) implemented within a social security organization that fosters the improvement of its administrative and operational capacities, and/or the efficient and effective delivery of programmes. The good practices selected by the ISSA focus on topics related to the priorities as defined in the programme and budget of the Association. The good practices are from member institutions of the ISSA and are primarily collected through the work of the  ISSA Technical Commissions and the ISSA Good Practice Awards.

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Intensification plan to strengthen control over temporary incapacity benefit A case of the National Social Security Institute, Federation of Administrative Bodies of Spanish Social Security

Intensification plan to strengthen control over temporary incapacity benefit A case of the National Social Security Institute, Federation of Administrative Bodies of Spanish Social Security

Federation of Administrative Bodies of Spanish Social Security | Spain
Intensification plan to strengthen control over temporary incapacity benefit A case of the National Social Security Institute, Federation of Administrative Bodies of Spanish Social Security

The National Social Security Institute (Instituto Nacional de la Seguridad Social – INSS) is a social security management body responsible for managing and administering certain financial benefits in the Spanish social security system, including medical checks related to temporary incapacity (TI) benefit.

From 2012 to 2018 there was a considerable increase in all TI indicators (incidence, prevalence and average duration).

For this reason, a plan was required to intensify the INSS’s actions to tighten control of TI benefit before cases reached 345 days, using the SAS tool for predictive analysis of TI cases likely to recover capacity to work.

The results obtained to date have been very positive, improving on initial expectations by increasing the number of workers signed off because they have recovered their capacity to work by 50 per cent.

Implementation year2018
Topics: Administration / Management, Governance, Information and communication technology
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