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Saggi

No. 126 (2023)

Staffing needs methodologies in healthcare management: A review of the international literature

DOI
https://doi.org/10.3280/mesa2023-126oa17289
Submitted
febbraio 16, 2024
Published
2024-04-24

Abstract

Many health care systems around the world are not new to efforts aimed at defining efficient algorithms for estimating staffing needs across professions and settings because this is consequential for the quantity and quality of services provided. A fully-fledged understanding of the methodologies adopted at the international level to estimate staffing needs in healthcare management seems pivotal to complement related attempts at the Italian national level, where this endeavor is currently very prominent. This paper, therefore, investigates whether a gold standard is commonly used to set staffing needs for health professions or, alternatively, it aims at identifying the set of variables that tends to be recurring across different models.
A combination of an explorative and a systematic review of 69 articles reveal that a unique algorithm dos does not exist.
Most algorithms account for such variables as the current production of services and the historical development trends in the quantity of the workforce, whereas only a minority considers organizational models. The article discusses management implications for the improvement of the definition of staffing needs methodologies in the Italian healthcare sector.

References

  1. Anessi Pessina E., Cicchetti A., Spandonaro F., Polistena B., D’Angela D., Masella C., Costa G. et al. (2021). Proposte per l’attuazione del PNRR in Sanità: Governance, Riparto, Fattori Abilitanti e Linee Realizzative delle Missioni. Mecosan, 119: 89-117. DOI: 10.3280/mesa2021-119005.
  2. Barbieri M., Micacchi L., Montanelli R., Vidè F. (2020). Gestire Il Personale in Sanità: Una Mappatura Delle Caratteristiche Della Funzione Risorse Umane Nel Contesto Italiano. Mecosan, 114: 33-65. DOI: 10.3280/MESA2020-114003.
  3. Bednall R., White S., Mills E., Thomson S. (2021). Validation of a Hospital Clinical Pharmacy Workforce Calculator: A Methodology for Pharmacy?. International Journal of Clinical Practice, 75(5): 1-9. DOI: 10.1111/ijcp.13932.
  4. Buchan J. (2005). A Certain Ratio? The Policy Implications of Minimum Staffing Ratios in Nursing. Journal of Health Services Research and Policy, 10(4): 239-44. DOI: 10.1258/135581905774414204.
  5. Cooke A., Smith D., Booth A. (2012). Beyond PICO: The SPIDER Tool for Qualitative Evidence Synthesis. Qualitative Health Research, 22(10): 1435-43. DOI: 10.1177/1049732312452938.
  6. Costa C., Franco M.G., Mantoan D. (2019). La Previsione Del Fabbisogno Formativo di Professionisti Sanitari: L’approccio Integrato Basato sull’offerta e sulla Domanda Determinata attraverso il Sistema ACG. Mecosan, 108: 101-21. DOI: 10.3280/MESA2018-108006.
  7. Del Vecchio M., Giacomelli G. (2020). Personale e Sanità: Un’agenda per il Management delle Risorse Umane nel SSN e nelle Sue Aziende. Mecosan, 114: 11-31. DOI: 10.3280/MESA2020-114002.
  8. Doosty D., Maleki M.R., Yarmohammadian H.M. (2019). An Investigation on Workload Indicator of Staffing Need: A Scoping Review. J Educ Health Promot., 8(22).
  9. Fellows J., Edwards M. (2014). User Guidelines on Qualitative Methods in Health Workforce Planning and Forecasting.
  10. Governo Italiano. Presidenza del Consiglio dei Ministri (2021). Piano Nazionale Di Ripresa e Resilienza, 269.
  11. Laquintana D., Pazzaglia S., Demarchi A. (2017). The New Methods to Define the Staffing Requirements for Doctors, Nurses and Nurses Aides: An Example of Their Implementation in an Italian Hospital. Assistenza Infermieristica e Ricerca: AIR, 36(3): 123-34. DOI: 10.1702/2786.28221.
  12. Masi F. (2015). Definire la Dotazione Ottimale di Personale Medico: l’esperienza dell’Ospedale di San Marino. Mecosan, 93: 33-48. DOI: 10.3280/MESA2015-023003.
  13. Moher D., Liberati A., Tetzlaff J., Altman D.G., Altman D., Antes G., Atkins D. et al. (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Medicine, 6(7). DOI: 10.1371/journal.pmed.1000097.
  14. Monazam E., Fariborz S.R., Pooya A., Pakdaman M. (2021). Multi-Level Nursing Workforce Planning Considering Talent Management in Healthcare with a Dynamic Quantitative Approach. Kybernetes. DOI: 10.1108/K-04-2021-0261.
  15. Ono T., Lafortune G., Schoenstein M. (2013). Health Workforce Planning in OECD Countries: A Review of 26 Projection Models from 18 Countries. OECD Health Working Papers, 6 (62): 8-11.
  16. Scheffler R., Cometto G., Tulenko K., Bruckner T., Liu J., Keuffel E.L., Preker A., Stilwell B., Brasileiro J., Campbell J. (2016). Health Workforce Requirements for Universal Health Coverage and the Sustainable Development Goals. Background Paper N.1 to the WHO Global Strategy on Human Resources for Health: Workforce 2030. Human Resources for Health Observer Series No 17. World Health Organization. -- https://apps.who.int/iris/bitstream/handle/10665/250330/9789241511407-eng.pdf.
  17. Shaw J.L., Farmer J.W., Coyte P.C., Lawrence H.P. (2017). Comparing Human Resource Planning Models in Dentistry: A Case Study Using Canadian Armed Forces Dental Clinics. Community Dentistry and Oral Epidemiology, 45(3): 209-15. DOI: 10.1111/cdoe.12277.
  18. Shipp P. J., WHO. (1998). Workload Indicators of Staffing Need (WISN): A Manual for Implementation.
  19. Simonetti V., Comparcini D., Buccolini M., Cicolini G. (2014). L’Indice Di Complessità Assistenziale Come Strumento Organizzativo in Un Contesto Chirurgico: Uno Studio Osservazionale. Prof Inferm., 67(4): 235-42. DOI: 10.7429/pi.2014.674235.
  20. U.S. Department of Health and Human Services, Health Resources and Services Administration, and National Center for Health Workforce Analysis (2019). Technical Documentation for Health Resources Service Administration’s Health Workforce Simulation Model. Rockville, Maryland: U.S. Department of Health and Human Services.
  21. Vainieri M., Barchielli C., Bellé N. (2020). Modelli Organizzativi e Performance dell’assistenza Infermieristica. Bologna: il Mulino.
  22. Vardè A.M., Mennini F.S. (2020). Il Personale del Servizio Sanitario Nazionale – Evoluzione e Prospettive nella Programmazione Sanitaria. Mecosan, 110: 9-43.
  23. Walker J.W. (1980). Human Resource Planning, 1990s Style. Human Resource Planning, 13(4).
  24. World Health Organization (2016). Workload Indicators of Staffing Need (WISN). WHO, 15: 56. -- http://www.who.int/hrh/resources/wisn_user_manual/en/.

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