Literature DB >> 28759333

Do Pattern-Focused Visuals Improve Skin Self-Examination Performance? Explicating the Visual Skill Acquisition Model.

Kevin K John1, Jakob D Jensen2,3, Andy J King4, Chelsea L Ratcliff2, Douglas Grossman5,6.   

Abstract

Skin self-examination (SSE) consists of routinely checking the body for atypical moles that might be cancerous. Identifying atypical moles is a visual task; thus, SSE training materials utilize pattern-focused visuals to cultivate this skill. Despite widespread use, researchers have yet to explicate how pattern-focused visuals cultivate visual skill. Using eye tracking to capture the visual scanpaths of a sample of laypersons (N = 92), the current study employed a 2 (pattern: ABCDE vs. ugly duckling sign [UDS]) × 2 (presentation: photorealistic images vs. illustrations) factorial design to assess whether and how pattern-focused visuals can increase layperson accuracy in identifying atypical moles. Overall, illustrations resulted in greater sensitivity, while photos resulted in greater specificity. The UDS × photorealistic condition showed greatest specificity. For those in the photo condition with high self-efficacy, UDS increased specificity directly. For those in the photo condition with self-efficacy levels at the mean or lower, there was a conditional indirect effect such that these individuals spent a larger amount of their viewing time observing the atypical moles, and time on target was positively related to specificity. Illustrations provided significant gains in specificity for those with low-to-moderate self-efficacy by increasing total fixation time on the atypical moles. Findings suggest that maximizing visual processing efficiency could enhance existing SSE training techniques.

Entities:  

Mesh:

Year:  2017        PMID: 28759333      PMCID: PMC5657481          DOI: 10.1080/10810730.2017.1344750

Source DB:  PubMed          Journal:  J Health Commun        ISSN: 1081-0730


  37 in total

1.  The reverse hierarchy theory of visual perceptual learning.

Authors:  Merav Ahissar; Shaul Hochstein
Journal:  Trends Cogn Sci       Date:  2004-10       Impact factor: 20.229

2.  ABCDE--an evolving concept in the early detection of melanoma.

Authors:  Darrell S Rigel; Robert J Friedman; Alfred W Kopf; David Polsky
Journal:  Arch Dermatol       Date:  2005-08

3.  G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences.

Authors:  Franz Faul; Edgar Erdfelder; Albert-Georg Lang; Axel Buchner
Journal:  Behav Res Methods       Date:  2007-05

4.  Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

Authors:  Franz Faul; Edgar Erdfelder; Axel Buchner; Albert-Georg Lang
Journal:  Behav Res Methods       Date:  2009-11

Review 5.  A systematic review of visual image theory, assessment, and use in skin cancer and tanning research.

Authors:  Jennifer E McWhirter; Laurie Hoffman-Goetz
Journal:  J Health Commun       Date:  2014-02-10

6.  Understanding visual search patterns of dermatologists assessing pigmented skin lesions before and after online training.

Authors:  Elizabeth A Krupinski; Joseph Chao; Rainer Hofmann-Wellenhof; Lynne Morrison; Clara Curiel-Lewandrowski
Journal:  J Digit Imaging       Date:  2014-12       Impact factor: 4.056

7.  Cancer statistics, 2012.

Authors:  Rebecca Siegel; Deepa Naishadham; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2012-01-04       Impact factor: 508.702

Review 8.  The role of pictures in improving health communication: a review of research on attention, comprehension, recall, and adherence.

Authors:  Peter S Houts; Cecilia C Doak; Leonard G Doak; Matthew J Loscalzo
Journal:  Patient Educ Couns       Date:  2005-08-24

9.  A randomized trial of pictorial versus prose-based medication information pamphlets.

Authors:  Andrew E Thompson; Mark A Goldszmidt; Alan J Schwartz; Philip G Bashook
Journal:  Patient Educ Couns       Date:  2010-02-12

Review 10.  Visual images for patient skin self-examination and melanoma detection: a systematic review of published studies.

Authors:  Jennifer E McWhirter; Laurie Hoffman-Goetz
Journal:  J Am Acad Dermatol       Date:  2013-03-06       Impact factor: 11.527

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  1 in total

Review 1.  Emerging applications of eye-tracking technology in dermatology.

Authors:  Kevin K John; Jakob D Jensen; Andy J King; Manusheela Pokharel; Douglas Grossman
Journal:  J Dermatol Sci       Date:  2018-04-06       Impact factor: 4.563

  1 in total

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