Literature DB >> 20092954

The validity and reliability of an interactive computer tobacco and alcohol use survey in general practice.

B Bonevski1, E Campbell, R W Sanson-Fisher.   

Abstract

BACKGROUND: Uncertainty regarding the accuracy of the computer as a data collection or patient screening tool persists. Previous research evaluating the validity of computer health surveys have tended to compare those responses to that of paper survey or clinical interview (as the gold standard). This approach is limited as it assumes that the paper version of the self-report survey is valid and an appropriate gold standard.
OBJECTIVES: First, to compare the accuracy of computer and paper methods of assessing self-reported smoking and alcohol use in general practice with biochemical measures as gold standard. Second, to compare the test re-test reliability of computer administration, paper administration and mixed methods of assessing self-reported smoking status and alcohol use in general practice.
METHODS: A randomised cross-over design was used. Consenting patients were randomly assigned to one of four groups; Group 1. C-C : completing a computer survey at the time of that consultation (Time 1) and a computer survey 4-7 days later (Time 2); Group 2. C-P: completing a computer survey at Time 1 and a paper survey at Time 2; Group 3. P-C: completing a paper survey at Time 1 and a computer survey at Time 2; and Group 4. P-P: completing a paper survey at Time 1 and 2. At Time 1 all participants also completed biochemical measures to validate self-reported smoking status (expired air carbon monoxide breath test) and alcohol consumption (ethyl alcohol urine assay).
RESULTS: Of the 618 who were eligible, 575 (93%) consented to completing the Time 1 surveys. Of these, 71% (N=411) completed Time 2 surveys. Compared to CO, the computer smoking self-report survey demonstrated 91% sensitivity, 94% specificity, 75% positive predictive value (PPV) and 98% negative predictive value (NPV). The equivalent paper survey demonstrated 86% sensitivity, 95% specificity, 80% PPV, and 96% NPV. Compared to urine assay, the computer alcohol use self-report survey demonstrated 92% sensitivity, 50% specificity, 10% PPV and 99% NPV. The equivalent paper survey demonstrated 75% sensitivity, 57% specificity, 6% PPV, and 98% NPV. Level of agreement of smoking self-reports at Time 1 and Time 2 revealed kappa coefficients ranging from 0.95 to 0.98 in each group and hazardous alcohol use self-reports at Time 1 and Time 2 revealed kappa coefficients ranging from 0.90 to 0.96 in each group.
CONCLUSION: The collection of self-reported health risk information is equally accurate and reliable using computer interface in the general practice setting as traditional paper survey. Computer survey appears highly reliable and accurate for the measurement of smoking status. Further research is needed to confirm the adequacy of the quantity/frequency measure in detecting those who drink alcohol. Interactive computer administered health surveys offer a number of advantages to researchers and clinicians and further research is warranted. Copyright (c) 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20092954     DOI: 10.1016/j.addbeh.2009.12.030

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  12 in total

1.  Access to chronic disease care in general practice: the acceptability of implementing systematic waiting-room screening using computer-based patient-reported risk status.

Authors:  Christine L Paul; Mariko Carey; Sze Lin Yoong; Catherine D'Este; Meredith Makeham; Frans Henskens
Journal:  Br J Gen Pract       Date:  2013-09       Impact factor: 5.386

2.  RCT of a client-centred, caseworker-delivered smoking cessation intervention for a socially disadvantaged population.

Authors:  Billie Bonevski; Christine Paul; Catherine D'Este; Robert Sanson-Fisher; Robert West; Afaf Girgis; Mohammad Siahpush; Robert Carter
Journal:  BMC Public Health       Date:  2011-01-31       Impact factor: 3.295

3.  Smoking among dental students at King Saud University: Consumption patterns and risk factors.

Authors:  Abdullah S AlSwuailem; Majed K AlShehri; Salwa Al-Sadhan
Journal:  Saudi Dent J       Date:  2014-05-14

4.  Comparing Two Alcohol Screening Measures on Rates of Risky Alcohol Use in a University Health Clinic.

Authors:  Brian E McCabe; Gisel Stark; Valerie Halstead; Derby Munoz-Rojas; Lillian Gelberg; Hilda Pantin; Guillermo Prado
Journal:  Int J Ment Health Addict       Date:  2019-04-12       Impact factor: 3.836

5.  Risk factors for intracerebral hemorrhage differ according to hemorrhage location.

Authors:  Sharyl R Martini; Matthew L Flaherty; W Mark Brown; Mary Haverbusch; Mary E Comeau; Laura R Sauerbeck; Brett M Kissela; Ranjan Deka; Dawn O Kleindorfer; Charles J Moomaw; Joseph P Broderick; Carl D Langefeld; Daniel Woo
Journal:  Neurology       Date:  2012-11-21       Impact factor: 9.910

6.  Assessing smoking status in disadvantaged populations: is computer administered self report an accurate and acceptable measure?

Authors:  Jamie Bryant; Billie Bonevski; Christine Paul; Christophe Lecathelinais
Journal:  BMC Med Res Methodol       Date:  2011-11-21       Impact factor: 4.615

7.  The hospital outpatient alcohol project (HOAP): protocol for an individually randomized, parallel-group superiority trial of electronic alcohol screening and brief intervention versus screening alone for unhealthy alcohol use.

Authors:  Natalie A Johnson; Kypros Kypri; John B Saunders; Richard Saitz; John Attia; Adrian Dunlop; Christopher Doran; Patrick McElduff; Luke Wolfenden; Jim McCambridge
Journal:  Addict Sci Clin Pract       Date:  2013-09-03

8.  An RCT protocol of varying financial incentive amounts for smoking cessation among pregnant women.

Authors:  Marita Lynagh; Billie Bonevski; Rob Sanson-Fisher; Ian Symonds; Anthony Scott; Alix Hall; Christopher Oldmeadow
Journal:  BMC Public Health       Date:  2012-11-27       Impact factor: 3.295

9.  Criterion validity of self-reports of alcohol, cannabis, and methamphetamine use among young men in Cape Town, South Africa.

Authors:  Kodi B Arfer; Mark Tomlinson; Andile Mayekiso; Jason Bantjes; Alastair van Heerden; Mary Jane Rotheram-Borus
Journal:  Int J Ment Health Addict       Date:  2017-05-01       Impact factor: 11.555

Review 10.  Evaluation of the psychometric properties of self-reported measures of alcohol consumption: a COSMIN systematic review.

Authors:  Hannah McKenna; Charlene Treanor; Dermot O'Reilly; Michael Donnelly
Journal:  Subst Abuse Treat Prev Policy       Date:  2018-02-02
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