Assessment tools of digital mental health intervention acceptance: a scoping review

GU Dandan, ZHOU Xiaolan, ZHANG Xu, YU Ming, XIE Juan, ZANG Yangyang

Journal of Nursing ›› 2025, Vol. 32 ›› Issue (14) : 38-43.

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Journal of Nursing ›› 2025, Vol. 32 ›› Issue (14) : 38-43. DOI: 10.16460/j.issn2097-6569.2025.14.038

Assessment tools of digital mental health intervention acceptance: a scoping review

  • GU Dandan1, ZHOU Xiaolan1, ZHANG Xu1, YU Ming2, XIE Juan3, ZANG Yangyang1
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Abstract

Objective To summarize assessment tools for the acceptance of digital mental health interventions at home and abroad, and to provide reference for future research. Methods Systematic searches were conducted in both Chinese and English databases from inception to June 2024. Literature was systematically retrieved, collected, extracted, and synthesized using assessment tools meeting the inclusion criteria. Results A total of 127,773 articles was collected, and 10 articles and 10 assessment tools were included according to the inclusion criteria, of which 9 tools were for the assessment of patients and 1 tool for healthcare professionals. Conclusion Although a variety of assessment tools have been developed in the field of digital mental health interventions, there is still a need for further optimization and standardization of these tools to enhance the validity and reliability. A systematic summary of these assessment tools will help facilitate future research and provide reference for intervention design in related fields.

Key words

digital mental health / acceptance / assessment tool / scope review / nursing

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GU Dandan, ZHOU Xiaolan, ZHANG Xu, YU Ming, XIE Juan, ZANG Yangyang. Assessment tools of digital mental health intervention acceptance: a scoping review[J]. Journal of Nursing. 2025, 32(14): 38-43 https://doi.org/10.16460/j.issn2097-6569.2025.14.038

References

[1] Wilson RL, Higgins O, Atem J, et al.Artificial intelligence: an eye cast towards the mental health nursing horizon[J]. Int J Ment Health Nurs, 2023,32(3):938-944. DOI:10.1111/inm.13121.
[2] 张栩彰,李乐之, 王祎雅, 等. 数字健康在安宁疗护中的应用进展[J]. 护理学报, 2023,30(10):35-39. DOI:10.16460/j.issn1008-9969.2023.10.035.
[3] Van Der Schyff EL, Ridout B, Amon KL, et al. Providing self-led mental health support through an artificial intelligence-powered chat bot (Leora) to meet the demand of mental health care[J]. J Med Internet Res,2023(25):e46448. DOI:10.2196/46448.
[4] Deng Y, Sun S, Wu S, et al.Burden and trends of mental disorders in China from 1990 to 2019: findings from the global burden of disease study 2019[J]. Soc Psychiatry Psychiatr Epidemiol, 2024,59(9):1563-1576. DOI:10.1007/s00127-023-02594-x.
[5] Chen Q, Huang S, Xu H, et al.The burden of mental disorders in Asian countries, 1990-2019: an analysis for the global burden of disease study 2019[J]. Transl Psychiatry, 2024,14(1):167-177. DOI:10.1038/s41398-024-02864-5.
[6] Kim S, Hwang J, Lee JH, et al.Psychosocial alterations during the COVID-19 pandemic and the global burden of anxiety and major depressive disorders in adolescents, 1990-2021: challenges in mental health amid socioeconomic disparities[J]. World J Pediatr, 2024,20(10):1003-1016. DOI:10.1007/s12519-024-00837-8.
[7] Xiang X, Turner S, Ruiz-Sierra S, et al. Older adults experience with a layperson-supported digital mental health intervention for depression: qualitative insights on engagement[J].Clin Gerontol,2024 Aug 28:1-12.DOI:10.1080/07317115.2024.2395890. Online ahead of print.
[8] Park SY, Nicksic SC, Boeldt D.A framework for the implementation of digital mental health interventions: the importance of feasibility and acceptability research[J]. Cureus, 2022,14(9):e29329. DOI:10.7759/cureus.29329.
[9] Rottstädt F, Becker E, Wilz G, et al.Enhancing the acceptance of smart sensing in psychotherapy patients: findings from a randomized controlled trial[J]. Front Digit Health, 2024,6:1335776. DOI:10.3389/fdgth.2024.1335776.
[10] Clough BA, Eigeland JA, Madden IR, et al.Development of the eTAP: a brief measure of attitudes and process in e-interventions for mental health[J]. Internet Interv, 2019(18):100256. DOI: 10.1016/j.invent.2019.100256.
[11] Sasaki N, Obikane E, Vedanthan R, et al.Implementation Outcome Scales for Digital Mental Health (iOSDMH): scale development and cross-sectional study[J].JMIR Form Res, 2021,5(11):e24332. DOI: 10.2196/24332.
[12] Schröder J, Sautier L, Kriston L, et al.Development of a questionnaire measuring attitudes towards psychological online interventions-the APOI[J]. J Affect Disord,2015(187):136-141. DOI:10.1016/j.jad.2015.08.044.
[13] Teles S, Ferreira A, Paúl C.Assessing attitudes towards online psychoeducational interventions: psychometric properties of a brief attitudes scale[J]. Health Soc Care Community, 2021,29(5):e1-e10. DOI:10.1111/hsc.13227.
[14] Gómez PJ, Berger T, Grosse HM, et al.The working alliance inventory for guided internet interventions (WAI-I)[J]. J Clin Psychol, 2020,76(6):973-986. DOI: 10.1002/jclp.22823.
[15] Miloff A, Carlbring P, Hamilton W, et al.Measuring alliance toward embodied virtual therapists in the era of automated treatments with the Virtual Ttherapist Alliance Scale (VTAS): development and psychometric evaluation[J]. J Med Internet Res, 2020,22(3):e16660. DOI:10.2196/16660.
[16] Miragall M, Baños RM, Cebolla A, et al.Working alliance inventory applied to virtual and augmented reality (WAI-VAR): psychometrics and therapeutic outcomes[J]. Front Psychol, 2015(6):1531. DOI: 10.3389/fpsyg.2015.01531.
[17] Clough BA, Rowland DP, Casey LM.Development of the eTAP-T: a measure of mental health professionals’ attitudes and process towards e-interventions[J]. Internet Interv, 2019(18):100288. DOI: 10.1016/j.invent.2019.100288.
[18] Boß L, Lehr D, Reis D, et al.Reliability and validity of assessing user satisfaction with web-based health interventions[J]. J Med Internet Res, 2016,18(8):e234. DOI: 10.2196/jmir.5952.
[19] Lenhard F, Mitsell K, Jolstedt M, et al.The internet intervention patient adherence scale for guided internet-delivered behavioral interventions: development and psychometric evaluation[J]. J Med Internet Res, 2019,21(10):e13602. DOI: 10.2196/13602.
[20] Ellis DM, Anderson PL.Validation of the attitudes towards psychological online interventions questionnaire among black americans: cross-cultural confirmatory factor analysis[J]. JMIR Ment Health, 2023,10:e43929. DOI: 10.2196/43929.
[21] Ng MM, Firth J, Minen M, et al.User engagement in mental health apps: a review of measurement, reporting, and validity[J]. Psychiatr Serv, 2019,70(7):538-544. DOI:10.1176/appi.ps.201800519.
[22] Alhalawany RM, Alfaifi RM, Alzahrani RY, et al.Impact of COVID-19 on the use of online mental health services among adults in Riyadh: a cross-sectional study[J]. Eur Rev Med Pharmacol Sci, 2024,28(3):1135-1143. DOI: 10.26355/eurrev_202402_35352.
[23] Obikane E, Sasaki N, Imamura K, et al.Usefulness of implementation outcome scales for digital mental health (iOSDMH): experiences from six randomized controlled trials[J]. Int J Environ Res Public Health, 2022,19(23):15792. DOI:10.3390/ijerph192315792.
[24] Balcombe L, De Leo D.Digital mental health challenges and the horizon ahead for solutions[J]. JMIR Ment Health, 2021,8(3):e26811. DOI: 10.2196/26811.
[25] Chen Q, Zhao Z, Bao J, et al.Digital empowerment in mental health: a Meta-analysis of internet-based interventions for enhancing mental health literacy[J]. Int J Clin Health Psychol, 2024,24(3):100489. DOI: 10.1016/j.ijchp.2024.100489.
[26] Hall CL, Gómez BA, Rennick-Egglestone S.Research into digital health intervention for mental health: 25-year retrospective on the ethical and legal challenges[J]. J Med Internet Res, 2024(26):e58939. DOI: 10.2196/58939.
[27] World Health Organization. Use of appropriate digital technologies for public health: report by the Director General. mHealth [EB/OL]. (2019-10-12). https://apps.who.int/gb/ebwha/pdf_files/WHA71/A71_20-en.pdf.
[28] 中共中央国务院.《数字中国建设整体布局规划》[EB/OL].(2023-03-27). http://www.gov.cn/xinwen/2023-02/27/content_5743484.htm.
[29] Stewart E, Milton A, Yee HF, et al.Ehealth tools that assess and track health and well-being in children and young people: systematic review[J]. J Med Internet Res, 2022,24(5):e26015. DOI: 10.2196/26015.
[30] Wang H, Qin D, Fang L, et al.Addressing healthy aging in China: practices and prospects[J]. Biosci Trends, 2024,18(3): 212-218. DOI:10.5582/bst.2024.01180.
[31] Li R, Cheng X, Yang Y, et al.Global deaths associated with population aging - 1990-2019[J]. China CDC Wkly, 2023,5(51):1150-1154. DOI: 10.46234/ccdcw2023.216.
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