Literature DB >> 30683608

An evaluation of the suitability, readability, and quality of online resources for the self-management of depression.

Pritesh Rathod1, Lydia Ould Brahim1, Eric Belzile2, Sylvie Lambert3.   

Abstract

OBJECTIVE: To evaluate online depression self-management (SM) resources based on their readability, suitability, and quality to determine their appropriateness for use by patients.
METHODS: A Google search using patients' most frequently searched terms was conducted. Resources were evaluated using readability indices, the Suitability Assessment of Materials (SAM), and the DISCERN tool. The number of SM skills and other contributing factors (e.g., resource format) were also evaluated.
RESULTS: The mean readability score across the sample was grade 10 (SD 1.5, range 8-14) and 22.2% of resources (n = 6) met the criteria for superior suitability. The mean sample scores were 58.8% (SD 11.6, range 36%-81%) for the DISCERN and 4.4 for SM skills (SD 1.6, range 2-8). SAM and DISCERN scores were found to be significantly correlated (Pearson correlation-coefficient 0.70). A cluster analysis of SAM and DISCERN scores suggested two groups that were significantly different (t-test, P <  0.001): 8 resources in a "high quality" cluster and 19 resources in a "medium/low" quality cluster.
CONCLUSION: Eight publicly available online resources scored highly. However, the readability of all the resources evaluated exceeded recommended levels. PRACTICE IMPLICATIONS: Resources that are accessible to people with lower literacy levels and increased user-friendliness are needed.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cluster analysis; Depression; Depressive disorder; Health resources; Internet; Self-management; Smog

Mesh:

Year:  2019        PMID: 30683608     DOI: 10.1016/j.pec.2018.12.021

Source DB:  PubMed          Journal:  Patient Educ Couns        ISSN: 0738-3991


  3 in total

1.  The Quality of Internet Websites for People Experiencing Psychosis: Pilot Expert Assessment.

Authors:  Kay Wilhelm; Tonelle Handley; Catherine McHugh; David Lowenstein; Kristy Arrold
Journal:  JMIR Form Res       Date:  2022-04-15

2.  An evaluation of the quality of online perinatal depression information.

Authors:  Madison P Hardman; Kristin A Reynolds; Sarah K Petty; Teaghan A M Pryor; Shayna K Pierce; Matthew T Bernstein; Patricia Furer
Journal:  BMC Pregnancy Childbirth       Date:  2022-03-15       Impact factor: 3.007

3.  Assessing the understandability, actionability, and quality of online resources for the self-management of bipolar disorder.

Authors:  Nathan D Sutera; Courtney A Iuppa; Leigh Anne Nelson; Carrie R Kriz; Nicole A Gramlich; Shelby E Lang; Ellie S R Elliott; Roger W Sommi
Journal:  Ment Health Clin       Date:  2022-01-21
  3 in total

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