Developing an eMental health monitoring module for older mourners using fuzzy cognitive maps.

Brandl, Lena; van Velsen, Lex; Brodbeck, Jeannette; Jacinto, Sofia; Hofs, Dennis; Heylen, Dirk (2023). Developing an eMental health monitoring module for older mourners using fuzzy cognitive maps. Digital health, 9(20552076231183549), p. 20552076231183549. Sage 10.1177/20552076231183549

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OBJECTIVE

Effective internet interventions often combine online self-help with regular professional guidance. In the absence of regularly scheduled contact with a professional, the internet intervention should refer users to professional human care if their condition deteriorates. The current article presents a monitoring module to recommend proactively seeking offline support in an eMental health service to aid older mourners.

METHOD

The module consists of two components: a user profile that collects relevant information about the user from the application, enabling the second component, a fuzzy cognitive map (FCM) decision-making algorithm that detects risk situations and to recommend the user to seek offline support, whenever advisable. In this article, we show how we configured the FCM with the help of eight clinical psychologists and we investigate the utility of the resulting decision tool using four fictitious scenarios.

RESULTS

The current FCM algorithm succeeds in detecting unambiguous risk situations, as well as unambiguously safe situations, but it has more difficulty classifying borderline cases correctly. Based on recommendations from the participants and an analysis of the algorithm's erroneous classifications, we propose how the current FCM algorithm can be further improved.

CONCLUSION

The configuration of FCMs does not necessarily demand large amounts of privacy-sensitive data and their decisions are scrutable. Thus, they hold great potential for automatic decision-making algorithms in mental eHealth. Nevertheless, we conclude that there is a need for clear guidelines and best practices for developing FCMs, specifically for eMental health.

Item Type:

Journal Article (Original Article)

Division/Institute:

07 Faculty of Human Sciences > Institute of Psychology > Clinical Psychology and Psychotherapy

UniBE Contributor:

Brodbeck, Jeannette

Subjects:

600 Technology > 610 Medicine & health

ISSN:

2055-2076

Publisher:

Sage

Language:

English

Submitter:

Pubmed Import

Date Deposited:

27 Jun 2023 15:04

Last Modified:

16 Jul 2023 02:26

Publisher DOI:

10.1177/20552076231183549

PubMed ID:

37361430

Uncontrolled Keywords:

detecting risk situations in eMental health eHealth eMental health fuzzy cognitive map general: elderly general: health informatics medicine: mental health

BORIS DOI:

10.48350/184155

URI:

https://boris.unibe.ch/id/eprint/184155

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