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Reducing bias in trials from reactions to measurement: the MERIT study including developmental work and expert workshop.
French, David P; Miles, Lisa M; Elbourne, Diana; Farmer, Andrew; Gulliford, Martin; Locock, Louise; Sutton, Stephen; McCambridge, Jim.
Afiliación
  • French DP; Manchester Centre for Health Psychology, University of Manchester, Manchester, UK.
  • Miles LM; Manchester Centre for Health Psychology, University of Manchester, Manchester, UK.
  • Elbourne D; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.
  • Farmer A; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Gulliford M; School of Population Health and Environmental Sciences, King's College London, London, UK.
  • Locock L; Health Services Research Unit, University of Aberdeen, Aberdeen, UK.
  • Sutton S; Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • McCambridge J; Department of Health Sciences, University of York, York, UK.
Health Technol Assess ; 25(55): 1-72, 2021 09.
Article en En | MEDLINE | ID: mdl-34553685
When people are asked to complete measures such as questionnaires in research studies this can produce changes in the behaviour or emotions of those people. For example, people who are asked to complete questionnaires about drinking alcohol have been found to drink slightly less, on average, than people who are not asked to complete questionnaires. Current established methods of research usually ignore these reactions to measurement. The present research aimed to produce recommendations for how best to deal with reactions to measurement. The scope of these recommendations was limited to 'trials' used to test whether or not a treatment improves health. To do this, we identified relevant research studies that have investigated various different aspects of whether or not measurement affects the people being measured. We then consulted 40 experts about what the current recommendations should consider and what was not within the scope of the current recommendations. We then gathered 23 experts together for 2 days to produce a set of recommendations. We found 43 research studies that have looked at whether or not being asked to complete questionnaires or being interviewed affects the behaviour of those people invited. In general, there were some effects of completing questionnaires, but the effects were not very consistent across research studies. There were few studies that have looked at the effects of using measures of behaviour other than questionnaires (e.g. blood pressure cuffs). We could find no existing recommendations for how best to deal with reactions to measurement in research studies that examine whether or not treatments improve health. We have produced 14 recommendations for researchers to better take account of the issue of measuring affecting the people being measured. We hope that this will help future research produce more accurate answers. We also identified that there is a need for more studies of the effects of measures other than questionnaires.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proyectos de Investigación / Exactitud de los Datos Tipo de estudio: Clinical_trials / Guideline / Prognostic_studies / Qualitative_research / Systematic_reviews Límite: Humans Idioma: En Revista: Health Technol Assess Asunto de la revista: PESQUISA EM SERVICOS DE SAUDE / TECNOLOGIA MEDICA Año: 2021 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proyectos de Investigación / Exactitud de los Datos Tipo de estudio: Clinical_trials / Guideline / Prognostic_studies / Qualitative_research / Systematic_reviews Límite: Humans Idioma: En Revista: Health Technol Assess Asunto de la revista: PESQUISA EM SERVICOS DE SAUDE / TECNOLOGIA MEDICA Año: 2021 Tipo del documento: Article Pais de publicación: Reino Unido