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Does healthcare expenditure matter equally for all mental disorders? An international approach employing dynamic panel data methods

Paula Ortega-Perals et al.

Cost Effectiveness and Resource Allocation2026https://doi.org/10.1186/s12962-025-00706-9article
ABDC C
Weight
0.50

What the paper says

In recent years mental health has increased its importance and gained the interest of many researchers around the world. It is now widely understood that the economic circumstances and financial constraints can affect people’s behavior. This paper aims to uncover the differences in the impact of healthcare expenditure and economic circumstance on several mental disorders. The methodology employed in this paper is the Arellano-Bond Generalized Method of Moments estimator applied to a dataset of 39 countries from 2005 to 2019 collected from World Data Bank and IHME, Global Burden of Disease. The results show that only alcohol use disorders were affected by healthcare expenditure, not being this the case for bipolar, eating, drug use and depressive disorders. This paper allows to know which mental disorders need more health expenditure in order to improve the situation of patients and, contrarily, which ones need certain policy changes. Indeed, this is the main contribution of this study.

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https://doi.org/https://doi.org/10.1186/s12962-025-00706-9

Or copy a formatted citation

@article{paula2026,
  title        = {{Does healthcare expenditure matter equally for all mental disorders? An international approach employing dynamic panel data methods}},
  author       = {Paula Ortega-Perals et al.},
  journal      = {Cost Effectiveness and Resource Allocation},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1186/s12962-025-00706-9},
}

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Does healthcare expenditure matter equally for all mental disorders? An international approach employing dynamic panel data methods

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.