Literature DB >> 19010740

Computer Face Scale for measuring pediatric pain and mood.

Padma Gulur1, Scott W Rodi, Tabitha A Washington, Joseph P Cravero, Gilbert J Fanciullo, Gregory J McHugo, John C Baird.   

Abstract

UNLABELLED: This investigation determined the psychometric properties and acceptability of an animated face scale presented on a hand-held computer as a means to measure pediatric pain and mood. In study 1, 79 hospitalized, pediatric patients indicated their levels of pain by adjusting the expression of an animated cartoon face. The first objective was to determine feasibility, concurrent validity, and acceptability of the method. All patients were tested both with the Computer Face Scale and the poster format of the Wong-Baker Faces Scale. A second objective was to evaluate test-retest reliability of the method. In study 2, 50 hospitalized, pediatric patients were tested on 2 occasions, but in this case the patients used the Computer Face Scale to indicate both their pain (how much they hurt) and their mood (how they felt). Children in study 1 were able to use the Computer Face Scale to express relative amounts of pain/hurt; the method showed concurrent validity with the Wong-Baker Face Scale; and most children expressed a preference for the Computer Face Scale. The method also showed adequate test-retest reliability. In study 2, adequate test-retest reliability was demonstrated for ratings of both pain and mood. PERSPECTIVE: The Computer Face Scale allows the health provider to obtain reliable and valid measures of pediatric pain and mood. The method can be understood and used by children as young as 3 years and is appropriate for use with adults.

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Year:  2008        PMID: 19010740      PMCID: PMC2657040          DOI: 10.1016/j.jpain.2008.08.005

Source DB:  PubMed          Journal:  J Pain        ISSN: 1526-5900            Impact factor:   5.820


  10 in total

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Review 5.  Pain: an unpleasant topic.

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Journal:  Pain       Date:  1999-08       Impact factor: 6.961

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Authors:  Robert N Jamison; Gilbert J Fanciullo; John C Baird
Journal:  Pain Med       Date:  2004-06       Impact factor: 3.750

  10 in total
  5 in total

1.  Electronic and paper versions of a faces pain intensity scale: concordance and preference in hospitalized children.

Authors:  Chantal Wood; Carl L von Baeyer; Sylvain Falinower; Dominique Moyse; Daniel Annequin; Valérie Legout
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Review 2.  mHealth: a strategic field without a solid scientific soul. a systematic review of pain-related apps.

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Journal:  PLoS One       Date:  2014-07-07       Impact factor: 3.240

3.  Clown-care reduces pain in children with cerebral palsy undergoing recurrent botulinum toxin injections- A quasi-randomized controlled crossover study.

Authors:  Hilla Ben-Pazi; Avraham Cohen; Naama Kroyzer; Renana Lotem-Ophir; Yaakov Shvili; Gidon Winter; Lisa Deutsch; Yehuda Pollak
Journal:  PLoS One       Date:  2017-04-17       Impact factor: 3.240

4.  Availability of researcher-led eHealth tools for pain assessment and management: barriers, facilitators, costs, and design.

Authors:  Kristen S Higgins; Perri R Tutelman; Christine T Chambers; Holly O Witteman; Melanie Barwick; Penny Corkum; Doris Grant; Jennifer N Stinson; Chitra Lalloo; Sue Robins; Rita Orji; Isabel Jordan
Journal:  Pain Rep       Date:  2018-09-11

5.  A parent-science partnership to improve postsurgical pain management in young children: Co-development and usability testing of the Achy Penguin smartphone-based app.

Authors:  Kathryn A Birnie; Cynthia Nguyen; Tamara Do Amaral; Lesley Baker; Fiona Campbell; Sarah Lloyd; Carley Ouellette; Carl von Baeyer; Chitra Lalloo; J Ted Gerstle; Jennifer Stinson
Journal:  Can J Pain       Date:  2018-10-26
  5 in total

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