Literature DB >> 17707824

The smiley as a simple screening tool for depression after stroke: a preliminary study.

A C K Lee1, S W Tang, G K K Yu, R T F Cheung.   

Abstract

UNLABELLED: In Hong Kong, there is a paucity of evidence to support which tool is superior in measuring depression after stroke (DAS). A simple, non-language-based, culturally neutral, non-verbal and easy to apply tool that is not highly dependent on training will be desirable.
OBJECTIVES: The present study aimed to examine the clinical utility of three smiley pictures in detecting DAS for older Chinese patients at 1 month after first-ever ischemic stroke.
METHODS: This was a cross-sectional study. A total of 253 stroke patients were interviewed by a research nurse at 1-month follow-up.
RESULTS: Taking Diagnostic and Statistic Manual (DSM IV) as the gold standard, the measurement properties of emoticon (sad) in terms of sensitivity, specificity, positive and negative predictive values, as well as Kappa's value were found comparable to Geriatric Depression Scale (GDS). The emoticon (happy) demonstrated a highly significant inverse relationship with all depression assessment tools (p<0.001). It was also found that the emoticon (flat) could capture 98% of all depressed subjects identified by DSM IV, although its predictive values were less satisfactory.
CONCLUSIONS: The smiley pictures seemed to fulfil the requirements for early and prompt screening among older patients. Cultural implication regarding emotions dissipation among Chinese patients should be further studied.

Entities:  

Mesh:

Year:  2007        PMID: 17707824     DOI: 10.1016/j.ijnurstu.2007.05.008

Source DB:  PubMed          Journal:  Int J Nurs Stud        ISSN: 0020-7489            Impact factor:   5.837


  5 in total

Review 1.  Nursing Assessment of Depression in Stroke Survivors.

Authors:  Pamela H Mitchell
Journal:  Stroke       Date:  2015-09-08       Impact factor: 7.914

Review 2.  Case identification of depression in patients with chronic physical health problems: a diagnostic accuracy meta-analysis of 113 studies.

Authors:  Nicholas Meader; Alex J Mitchell; Carolyn Chew-Graham; David Goldberg; Maria Rizzo; Victoria Bird; David Kessler; Jon Packham; Mark Haddad; Stephen Pilling
Journal:  Br J Gen Pract       Date:  2011-12       Impact factor: 5.386

3.  Predictivity of Early Depressive Symptoms for Post-Stroke Depression.

Authors:  A Lewin-Richter; M Volz; M Jöbges; K Werheid
Journal:  J Nutr Health Aging       Date:  2015-08       Impact factor: 4.075

4.  Rehabilitation of hypomimia in Parkinson's disease: a feasibility study of two different approaches.

Authors:  Lucia Ricciardi; Paola Baggio; Diego Ricciardi; Bruno Morabito; Massimiliano Pomponi; Anna Rita Bentivoglio; Roberto Bernabei; Roberto Maestri; Giuseppe Frazzitta; Daniele Volpe
Journal:  Neurol Sci       Date:  2015-11-21       Impact factor: 3.307

Review 5.  Emojis in public health and how they might be used for hand hygiene and infection prevention and control.

Authors:  Nasim Lotfinejad; Reza Assadi; Mohammad Hassan Aelami; Didier Pittet
Journal:  Antimicrob Resist Infect Control       Date:  2020-02-10       Impact factor: 4.887

  5 in total

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