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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Oct 28, 2018
Open Peer Review Period: Nov 3, 2018 - Dec 29, 2018
Date Accepted: Aug 31, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Difficulties Encountered by People With Depression and Anxiety on the Web: Qualitative Study and Web-Based Expert Survey

Bernard R, Sabariego C, Cieza A

Difficulties Encountered by People With Depression and Anxiety on the Web: Qualitative Study and Web-Based Expert Survey

J Med Internet Res 2019;21(10):e12514

DOI: 10.2196/12514

PMID: 31674915

PMCID: 6914249

Difficulties encountered by people with depression and anxiety on the Web: Results from a qualitative study and online expert survey

  • Renaldo Bernard; 
  • Carla Sabariego; 
  • Alarcos Cieza

ABSTRACT

Background:

Depression and anxiety are the most common mental health conditions and were identified as leading contributors to global disability in 2016. People with these conditions rely on Web-based resources as a source of accurate health-information, convenient and effective treatment, and essential social support. However, a recent systematic review revealed several potentially limiting difficulties that this group experiences online, and also suggested that there is a partial understanding of these difficulties as only difficulties associated with neuro- and no socio-cognitive deficits were identified. Therefore, this study fills this knowledge gap and contributes to a more robust and fuller understanding of the difficulties this group experiences online.

Objective:

The objective of this study was to identify the difficulties people with depression and anxiety experience when using the Web and the Web activities that are most associated with the experience of difficulties.

Methods:

The study employed data triangulation using face-to-face semi-structured interviews with 21 participants affected by depression and anxiety, and a comparison group (7 participants) without mental disorders (study 1), and a persona-based expert online survey with 21 mental health practitioners who treat people with depression and anxiety (study 2). Framework analysis for both studies proceeded through 5 stages: (1) familiarization, (2) identifying a thematic framework, (3) indexing, (4) charting and (5) mapping and interpretation.

Results:

Four themes and 12 sub-themes emerged describing the difficulties people with depression and anxiety experience online. Difficulties related to the sub-theme "Lack of control over access and usage" were most common and affected 90% (19/21) of participants. A comparison of these difficulties with the difficulties reported by participants without mental health conditions revealed that both groups have markedly different experiences of difficulty online. Three themes and 10 sub-themes emerged describing the potential difficulties that people with depression and anxiety may experience online as reported by mental health practitioners. Practitioners linked these difficulties with 22 common impairments, limitations in activities of daily life and diagnostic criteria associated with depression and anxiety.

Conclusions:

People with depression and anxiety also experience difficulties when using the Web that are related to the socio-cognitive deficits associated with their conditions. Mental health practitioners have a good awareness of the difficulties that people with depression and anxiety are likely to experience when using the Web. This investigation has contributed to a fuller understanding of these difficulties and provides innovative guidance on how to remove and reduce them for people with depression and anxiety when using the Web.


 Citation

Please cite as:

Bernard R, Sabariego C, Cieza A

Difficulties Encountered by People With Depression and Anxiety on the Web: Qualitative Study and Web-Based Expert Survey

J Med Internet Res 2019;21(10):e12514

DOI: 10.2196/12514

PMID: 31674915

PMCID: 6914249

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.