2020
DOI: 10.1017/s0266462320000203
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Exploring the identification, validation, and categorization of costs and benefits of education in mental health: The PECUNIA project

Abstract: Background Mental health problems can lead to costs and benefits in other sectors (e.g. in the education sector) in addition to the healthcare sector. These related costs and benefits are known as intersectoral costs and benefits (ICBs). Although some ICBs within the education sector have been identified previously, little is known about their extensiveness and transferability, which is crucial for their inclusion in health economics research. Objectives The aim of this study was to iden… Show more

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Cited by 15 publications
(18 citation statements)
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“…Despite recent methodological developments in identifying, measuring, and valuing education costs [12][13][14][15][16], their inclusion in costing research remains limited [17]. This could be attributed to several reasons.…”
Section: Data Collectionmentioning
confidence: 99%
“…Despite recent methodological developments in identifying, measuring, and valuing education costs [12][13][14][15][16], their inclusion in costing research remains limited [17]. This could be attributed to several reasons.…”
Section: Data Collectionmentioning
confidence: 99%
“…This pandemic has also shown the relevance of computer modeling, care navigation systems, real-time dashboards, and interactive decision support systems to guide evidence-informed policy. However, to be effective, rapid response digital systems should go beyond traditional semantic interoperability across data sets, and move toward a common coding and counting of service provision (availability, bed capacity, and workforce) from a whole system’s perspective (health, social, housing, employment, education, and justice) [ 3 - 5 ]. This harmonization effort should follow a service ecosystem approach [ 6 ] and focus on the comprehensive assessment of the overall local and regional service availability and capacity as it has also been underscored by the pandemic [ 1 ].…”
Section: Introductionmentioning
confidence: 99%
“…However, the aggregation and comparison of services from a whole system’s perspective is not an easy task, as shown by previous developments in disability or functional dependency in Europe [ 9 , 10 ], older adults [ 11 ], and mental health and chronic care [ 12 ]. These attempts have been recently extended to education [ 3 ] and justice [ 4 ] where similar problems have been identified.…”
Section: Introductionmentioning
confidence: 99%
“…This pandemic has also shown the relevance of computer modeling, care navigation systems, real-time dashboards, and interactive decision support systems to guide evidence-informed policy. However, to be effective, rapid response digital systems should go beyond traditional semantic interoperability across data sets, and move toward a common coding and counting of service provision (availability, bed capacity, and workforce) from a whole system's perspective (health, social, housing, employment, education, and justice) [3][4][5]. This harmonization effort should follow a service ecosystem approach [6] and focus on the comprehensive assessment of the overall local and regional service availability and capacity as it has also been underscored by the pandemic [1].…”
Section: Introductionmentioning
confidence: 99%
“…However, the aggregation and comparison of services from a whole system's perspective is not an easy task, as shown by previous developments in disability or functional dependency in Europe [9,10], older adults [11], and mental health and chronic care [12]. These attempts have been recently extended to education [3] and justice [4] where similar problems have been identified.…”
Section: Introductionmentioning
confidence: 99%