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On-demand therapy 24/7! Mental mHealth app features and social metrics as predictors of use

Panagiota Galetsi et al.

Health Systems2026https://doi.org/10.1080/20476965.2025.2609995article
AJG 2ABDC C
Weight
0.50

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https://doi.org/https://doi.org/10.1080/20476965.2025.2609995

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@article{panagiota2026,
  title        = {{On-demand therapy 24/7! Mental mHealth app features and social metrics as predictors of use}},
  author       = {Panagiota Galetsi et al.},
  journal      = {Health Systems},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/20476965.2025.2609995},
}

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On-demand therapy 24/7! Mental mHealth app features and social metrics as predictors of use

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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.