Literature DB >> 30133096

Combining e-mental health intervention development with human computer interaction (HCI) design to enhance technology-facilitated recovery for people with depression and/or anxiety conditions: An integrative literature review.

Amalie Søgaard Neilsen1, Rhonda L Wilson2.   

Abstract

Computer scientists contend that understanding human computer interaction (HCI) is an important factor in developing successful computer user experiences. Mental health professionals across a range of disciplines are increasingly developing and implementing Internet-based treatments for people with a variety of mental health conditions. Many therapeutic and economic benefits are associated with technology-enabled treatments for a range of mental health disorders. Despite this, the role of HCI and associated design elements remains poorly understood in regard to the impact on patient safety, effectiveness, and to adherence of treatment for computer users who engage with e-mental health interventions. An integrative literature review was conducted to investigate how adequately HCI and user-centred design is incorporated in the development of e-mental health interventions for depression and anxiety, and subsequently reported in literature to inform evidence-based practice. The PRISMA model was used to locate, select, and include 30 relevant articles. The main finding of this review is that Internet-based e-mental health interventions are routinely implemented without sufficiently describing the relevant HCI design features applied. This is a limitation that in turn jeopardizes the assessment validity of e-mental interventions generally, leaving those who administer the interventions with incomplete evidence to support the safe, reliable, dependable, credible, and trustworthy implementation of the interventions. The recommendation arising from this review is that human computer interaction should be carefully considered when mental health nurses and other practitioners adopt e-mental health interventions for therapeutic purposes to assure the quality and safety of e-mental health interventions on offer to patients.
© 2018 Australian College of Mental Health Nurses Inc.

Entities:  

Keywords:  anxiety; depression; digital interventions; e-mental health; patient safety

Mesh:

Year:  2018        PMID: 30133096     DOI: 10.1111/inm.12527

Source DB:  PubMed          Journal:  Int J Ment Health Nurs        ISSN: 1445-8330            Impact factor:   3.503


  12 in total

1.  User Experience Affects Dropout from Internet-Delivered Dialectical Behavior Therapy.

Authors:  Chelsey R Wilks; Qingqing Yin; Kelly L Zuromski
Journal:  Telemed J E Health       Date:  2019-09-06       Impact factor: 3.536

2.  Meeting Users Where They Are: User-centered Design of an Automated Text Messaging Tool to Support the Mental Health of Young Adults.

Authors:  Rachel Kornfield; Jonah Meyerhoff; Hannah Studd; Ananya Bhattacharjee; Joseph J Williams; Madhu Reddy; David C Mohr
Journal:  Proc SIGCHI Conf Hum Factor Comput Syst       Date:  2022-04-29

Review 3.  A Scoping Review of Interventions for Family Bereavement Care during the COVID-19 Pandemic.

Authors:  Carlos Laranjeira; Débora Moura; Maria Aparecida Salci; Lígia Carreira; Eduardo Covre; André Jaques; Roberto Nakamura Cuman; Sonia Marcon; Ana Querido
Journal:  Behav Sci (Basel)       Date:  2022-05-19

4.  Involving Crowdworkers with Lived Experience in Content-Development for Push-Based Digital Mental Health Tools: Lessons Learned from Crowdsourcing Mental Health Messages.

Authors:  Rachel Kornfield; David C Mohr; Rachel Ranney; Emily G Lattie; Jonah Meyerhoff; Joseph J Williams; Madhu Reddy
Journal:  Proc ACM Hum Comput Interact       Date:  2022-04-07

5.  Blended Treatment for Alcohol Use Disorder (Blend-A): Explorative Mixed Methods Pilot and Feasibility Study.

Authors:  Kristine Tarp; Johan Rasmussen; Anna Mejldal; Marie Paldam Folker; Anette Søgaard Nielsen
Journal:  JMIR Form Res       Date:  2022-04-25

6.  Unsupervised assessment of cognition in the Healthy Brain Project: Implications for web-based registries of individuals at risk for Alzheimer's disease.

Authors:  Stephanie Perin; Rachel F Buckley; Matthew P Pase; Nawaf Yassi; Alexandra Lavale; Peter H Wilson; Adrian Schembri; Paul Maruff; Yen Ying Lim
Journal:  Alzheimers Dement (N Y)       Date:  2020-06-26

7.  A Self-Applied Multi-Component Psychological Online Intervention Based on UX, for the Prevention of Complicated Grief Disorder in the Mexican Population During the COVID-19 Outbreak: Protocol of a Randomized Clinical Trial.

Authors:  Alejandro Dominguez-Rodriguez; Sofia Cristina Martínez-Luna; María Jesús Hernández Jiménez; Anabel De La Rosa-Gómez; Paulina Arenas-Landgrave; Esteban Eugenio Esquivel Santoveña; Carlos Arzola-Sánchez; Joabián Alvarez Silva; Arantza Mariel Solis Nicolas; Ana Marisa Colmenero Guadián; Flor Rocio Ramírez-Martínez; Rosa Olimpia Castellanos Vargas
Journal:  Front Psychol       Date:  2021-03-29

8.  Satisfaction and Acceptability Ratings of a Web-Based Self-help Intervention for Depression: Retrospective Cross-sectional Study From a Resource-Limited Country.

Authors:  Ma Asunción Lara; Pamela Patiño; Marcela Tiburcio; Laura Navarrete
Journal:  JMIR Form Res       Date:  2022-04-04

9.  A Smartphone-Based Technique to Detect Dynamic User Preferences for Tailoring Behavioral Interventions: Observational Utility Study of Ecological Daily Needs Assessment.

Authors:  Julia A Schweiger; Ginger E Nicol; Amanda R Ricchio; Christopher L Metts; Michael D Yingling; Alex T Ramsey; J Philip Miller; Eric J Lenze
Journal:  JMIR Mhealth Uhealth       Date:  2020-11-13       Impact factor: 4.773

Review 10.  Connected Mental Health: Systematic Mapping Study.

Authors:  Nidal Drissi; Sofia Ouhbi; Mohammed Abdou Janati Idrissi; Luis Fernandez-Luque; Mounir Ghogho
Journal:  J Med Internet Res       Date:  2020-08-28       Impact factor: 5.428

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.