La previsione del fabbisogno formativo di professionisti sanitari: l’approccio integrato basato sull’offerta e sulla domanda determinata attraverso il sistema ACG

Journal title MECOSAN
Author/s Claudio Costa, Maria Grazia Franco, Domenico Mantoan
Publishing Year 2019 Issue 2018/108 Language Italian
Pages 21 P. 101-121 File size 704 KB
DOI 10.3280/MESA2018-108006
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In health planning determining the best skill-mix of professionals is a fundamental aspect. In all European countries is being discussed how to face the health workforce shortages and there is a great agreement on the need for a scientifically valid methodology to forecast the future demand. In 2013 the Veneto region joined the pilot project coordinated by the Ministry of Health in the framework of the "Joint Action on Health Workforce Planning and Forecasting" and a forecasting model was developed. During the work, the Veneto region developed a methodology that uses the Adjusted Clinical Groups (ACG®) classification system to provide an estimate of the demand of doctors and nurses on the basis of the services used by population.

Keywords: Forecasting, projection model, Joint Action, health workforce supply, health workforce demand, ACG®.

  1. Birch S., O’Brien-Pallas L., Alksnis C., Murphy G., Thomson D. (2003). Beyond Demographic Change in Human Resources Planning: An Extended Framework and Application to Nursing. Journal of Health Services Research and Policy, 8: 225-9. DOI: 10.1258/135581903322403290
  2. Centre for Workforce Intelligence (2015). Horizon 2035, future demand for skills: initial results. London -- https://www.gov.uk/government/publications/horizon-2035-future-demand-for-skills-initialresults.
  3. D’Arienzo M., Rossi A., Rivetti C., Montemurro D., Marcante E., Ragazzo F., Di Silverio P., Troise C. (2019). La programmazione del fabbisogno di personale medico, proiezioni per il periodo 2018-2025: curve di pensionamento e fabbisogni specialistici. Anaao Assomed. -- http://www.anaao.it/public/aaa_8949220_fabbisogni_2018-2025_versione_05_01_2019.pdf.
  4. Del Vecchio M., Montanelli R., Trinchero E. (2018). Skill mix change tra medici, infermieri e operatori di supporto: un’analisi retrospettiva e prospettica a livello italiano. In: CERGAS (a cura di). Rapporto OASI 2018. Milano: Egea.
  5. Dreesch N., Dolea C, Dal Poz M.R., Goubarev A., Adams O., Aregawi M., Bergstrom K., Fogstad H., Sheratt D., Linkins J., Scherpbier R., Fox M.Y. (2005). An approach to estimating human resource requirements to achieve the Millennium Development Goals. Health Policy and Planning,・October.
  6. European Commission (2012). Commission Staff Working Document on an Action Plan for the EU Health Workforce. Strasbourg: European Commission.
  7. Fellows J., Edwards M. (2014). User Guidelines on Qualitative Methods in Health Workforce Planning and Forecasting. -- www.healthworkforce.eu and www.cfwi.org.uk.
  8. Giacomazzi M., Pinelli N. (a cura di) (2018). Dal fabbisogno specialistico di personale SSN allo sviluppo organizzativo e delle competenze. -- https://www.fiaso.it/Pubblicazioni/Dal-fabbisogno-specialistico-di-personale-SSN-allo-sviluppo-organizzativo-delle-competenze.
  9. Hornby P., Santric Milicevic M. (2011). Human resources in health planning In: Health Management Guides, Readings and References for Serbia. Health management, change and reform. Ministry of Health of the Republic of Serbia.
  10. Joint Action Health Workforce Planning and Forecasting (2015). Workshop sui principali fattori di cambiamento della domanda di professionisti sanitari nei prossimi 20 anni – risultanze dell’incontro. Ministero della Salute, Roma.
  11. Kroezena M., Hoegaerdena M.V., Batenburg R. (2018). The Joint Action on Health Workforce Planning and Forecasting: Results of a European programme to improve health workforce policies. Health Policy, 122: 87-93.
  12. Ono T., Lafortune G., Schoenstein M. (2013).
  13. Health Workforce Planning in OECD Countries: A Review of 26 Projection Models from 18 Countries. OECD Health Working Papers N. 62. OECD Publishing.
  14. 2018. Il Sistema ACGR a supporto dello studio della cronicita e della multimorbilita (2019). Servizio Epidemiologico Regionale e registri. Azienda Zero – Regione Veneto. https://www.ser-veneto.it/public/ReportACG_Patologie_Anno2017.pdf.
  15. Ravagli L. (a cura di) (2018). Indagine qualitativa sul fabbisogno di professionisti sanitari in Toscana.
  16. IRPET – Istituto Regionale Programmazione eco nomica della Toscana. -- http://www.irpet.it/wpcontent/uploads/2018/05/report-indagine-qualitativa-fabb_sanitari-05-2018.pdf.
  17. Vian F. (2014). Sul numero programmato del corso di laurea in Medicina e chirurgia: applicazione di un modello semplificato. Politiche sanitarie, 15(4):185-193. DOI: 10.1706/1710.18646

  • Metodologie per la determinazione del fabbisogno di personale nel management della sanità: una revisione della letteratura internazionale Luca Pirrotta, Alessandra Da Ros, Paola Cantarelli, Nicola Bellé, in MECOSAN 126/2024 pp.123
    DOI: 10.3280/mesa2023-126oa17289

Claudio Costa, Maria Grazia Franco, Domenico Mantoan, La previsione del fabbisogno formativo di professionisti sanitari: l’approccio integrato basato sull’offerta e sulla domanda determinata attraverso il sistema ACG in "MECOSAN" 108/2018, pp 101-121, DOI: 10.3280/MESA2018-108006