Literature DB >> 20174998

Does mode of administration matter? Comparison of online and face-to-face administration of a time trade-off task.

Richard Norman1, Madeleine T King, Dushyant Clarke, Rosalie Viney, Paula Cronin, Deborah Street.   

Abstract

PURPOSE: Developments in electronic data collection methods have allowed researchers to generate larger datasets at lower costs, but relatively little is known about the comparative performance of the new methods. This paper considers the comparability of two modes of administration (face-to-face and remote electronic) for the time trade-off.
METHOD: Data were collected from a convenience sample of adults (n = 135) randomised to either a face-to-face time trade-off or a remote electronic tool. Patterns of responses were considered. For each sample, standard regression analysis was undertaken to generate a valuation set, which were then contrasted.
RESULTS: The pattern of responses differed by mode of administration, with the electronic tool yielding larger standard deviations and higher proportions of responses at -1, 0 and 1. The impact of this on the regression was difficult to disentangle from the high variability around individual scores of states, which is a common feature of responses to time trade-off tasks. Under the scoring algorithms generated by mode of administration, the difference between scores exceeded 0.1 for 100 of the 243 EQ-5D health states.
CONCLUSIONS: This comparison demonstrates that variability arising from mode of administration needs to be considered in developing health state valuations. While electronic administration has considerable cost advantages, particular attention to the design of the task is required. This has wider implications, as all modes of administration may have mode-specific impacts on the distribution of valuation responses.

Mesh:

Year:  2010        PMID: 20174998     DOI: 10.1007/s11136-010-9609-5

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  16 in total

1.  The Assessment of Quality of Life (AQoL) instrument: a psychometric measure of health-related quality of life.

Authors:  G Hawthorne; J Richardson; R Osborne
Journal:  Qual Life Res       Date:  1999-05       Impact factor: 4.147

2.  The estimation of a preference-based measure of health from the SF-36.

Authors:  John Brazier; Jennifer Roberts; Mark Deverill
Journal:  J Health Econ       Date:  2002-03       Impact factor: 3.883

3.  A comparison of the Assessment of Quality of Life (AQoL) with four other generic utility instruments.

Authors:  G Hawthorne; J Richardson; N A Day
Journal:  Ann Med       Date:  2001-07       Impact factor: 4.709

4.  Estimating an EQ-5D population value set: the case of Japan.

Authors:  Aki Tsuchiya; Shunya Ikeda; Naoki Ikegami; Shuzo Nishimura; Ikuro Sakai; Takashi Fukuda; Chisato Hamashima; Akinori Hisashige; Makoto Tamura
Journal:  Health Econ       Date:  2002-06       Impact factor: 3.046

5.  To what extent do people prefer health states with higher values? A note on evidence from the EQ-5D valuation set.

Authors:  Jennifer Roberts; Paul Dolan
Journal:  Health Econ       Date:  2004-07       Impact factor: 3.046

6.  The validity of person tradeoff measurements: randomized trial of computer elicitation versus face-to-face interview.

Authors:  Laura J Damschroder; Jonathan Baron; John C Hershey; David A Asch; Christopher Jepson; Peter A Ubel
Journal:  Med Decis Making       Date:  2004 Mar-Apr       Impact factor: 2.583

Review 7.  Mode of questionnaire administration can have serious effects on data quality.

Authors:  Ann Bowling
Journal:  J Public Health (Oxf)       Date:  2005-05-03       Impact factor: 2.341

8.  Modeling valuations for EuroQol health states.

Authors:  P Dolan
Journal:  Med Care       Date:  1997-11       Impact factor: 2.983

9.  Equivalence of electronic and paper-and-pencil administration of patient-reported outcome measures: a meta-analytic review.

Authors:  Chad J Gwaltney; Alan L Shields; Saul Shiffman
Journal:  Value Health       Date:  2008 Mar-Apr       Impact factor: 5.725

10.  The time trade-off method: results from a general population study.

Authors:  P Dolan; C Gudex; P Kind; A Williams
Journal:  Health Econ       Date:  1996 Mar-Apr       Impact factor: 3.046

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  30 in total

1.  An assessment of the construct validity of the CHU9D in the Australian adolescent general population.

Authors:  Julie Ratcliffe; Katherine Stevens; Terry Flynn; John Brazier; Michael Sawyer
Journal:  Qual Life Res       Date:  2011-08-12       Impact factor: 4.147

2.  Valuing EQ-5D-5L health states 'in context' using a discrete choice experiment.

Authors:  Amanda Cole; Koonal Shah; Brendan Mulhern; Yan Feng; Nancy Devlin
Journal:  Eur J Health Econ       Date:  2017-05-31

3.  The better than dead method: feasibility and interpretation of a valuation study.

Authors:  R A van Hoorn; A R T Donders; M Oppe; P F M Stalmeier
Journal:  Pharmacoeconomics       Date:  2014-08       Impact factor: 4.981

4.  Increasing respondent engagement in composite time trade-off tasks by imposing three minimum trade-offs to improve data quality.

Authors:  Ruixuan Jiang; Thomas Kohlmann; Todd A Lee; Axel Mühlbacher; James Shaw; Surrey Walton; A Simon Pickard
Journal:  Eur J Health Econ       Date:  2020-08-28

5.  Time to tweak the TTO: results from a comparison of alternative specifications of the TTO.

Authors:  Matthijs M Versteegh; Arthur E Attema; Mark Oppe; Nancy J Devlin; Elly A Stolk
Journal:  Eur J Health Econ       Date:  2013-07

6.  Joint Utility Estimators in Substance Use Disorders.

Authors:  Eve Wittenberg; Jeremy W Bray; Achamyeleh Gebremariam; Brandon Aden; Bohdan Nosyk; Bruce R Schackman
Journal:  Value Health       Date:  2016-11-17       Impact factor: 5.725

7.  Does one size fit all? Assessing the preferences of older and younger people for attributes of quality of life.

Authors:  Julie Ratcliffe; Emily Lancsar; Thomas Flint; Billingsley Kaambwa; Ruth Walker; Gill Lewin; Mary Luszcz; Ian D Cameron
Journal:  Qual Life Res       Date:  2016-08-23       Impact factor: 4.147

8.  Constantly proving the opposite? A test of CPTO using a broad time horizon and correcting for discounting.

Authors:  Arthur E Attema; Werner B F Brouwer
Journal:  Qual Life Res       Date:  2011-04-21       Impact factor: 4.147

9.  Developing adolescent-specific health state values for economic evaluation: an application of profile case best-worst scaling to the Child Health Utility 9D.

Authors:  Julie Ratcliffe; Terry Flynn; Frances Terlich; Katherine Stevens; John Brazier; Michael Sawyer
Journal:  Pharmacoeconomics       Date:  2012-08-01       Impact factor: 4.981

10.  Binary choice health state valuation and mode of administration: head-to-head comparison of online and CAPI.

Authors:  Brendan Mulhern; Louise Longworth; John Brazier; Donna Rowen; Nick Bansback; Nancy Devlin; Aki Tsuchiya
Journal:  Value Health       Date:  2013 Jan-Feb       Impact factor: 5.725

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