School health in Europe: a review of workforce expenditure across five countries

• Published in: BMC Health Services Research
• Main Authors: Simon van der Pol, Maarten J. Postma, Danielle E. M. C. Jansen
• Format: Article in Journal/Newspaper
• Language: English
• Published: BMC 2020
• Subjects: School health services; Child healthcare; Health system comparison; Health expenditure estimation; Public aspects of medicine; RA1-1270; Norway; Iceland
• Online Access: https://doi.org/10.1186/s12913-020-05077-w; https://doaj.org/article/5d404f2ebd5b415c9cded99ca69ab481

Abstract Background Most European countries have implemented a form of school health services (SHS) to provide young children and adolescents with various types of healthcare. No estimations on SHS expenditure for European countries have been published until now. We estimated SHS workforce expenditure in Europe, expected to serve as the main driver of school healthcare costs. Methods Using two networks of experts on healthcare provision for children we contacted various country representatives to provide data on the number of professionals working in SHS and salaries. These data were used, together with publicly available data, to estimate annual SHS workforce expenditure on the national level. Results We received sufficient data for five European countries, and estimated the SHS workforce expenditure. Nurses were the most widely reported professionals working in this field, followed by doctors and psychologists. Our SHS expenditure estimations ranged from €43,000 for Estonia to €195,300 in Norway (per 1000 pupils). For Norway, Estonia, Finland and Iceland, school nurses were the main drivers of SHS expenditure, mainly due to their large numbers, while in Austria, school doctors played the largest role in SHS expenditure. Conclusions We estimated the spending on SHS workforce for five European countries, which comprises relatively minor parts of total healthcare spending (0.16 to 0.69%). Many questions regarding SHS spending in Europe remain, due to a general lack of data on national levels.