Choosing patient-reported outcome measures for cancer clinical research – Practical principles and an algorithm to assist non-specialist researchers

Abstract: Aim: The purpose of this article is to give practical advice to researchers wishing to choose measures of quality of life and other patient-reported outcomes (PROs) for cancer clinical research. Method: Readers are guided through the process of selecting a patient-reported outcome measure...

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Publicado en:European Journal of Cancer Vol. 46; no. 18; pp. 3149 - 3158
Autores principales: Luckett, T., King, M.T.
Formato: algorithm tables/charts Journal Article
Publicado: Pergamon Press - An Imprint of Elsevier Science Dec2010
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2010
      vid: 46
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      pub: Pergamon Press - An Imprint of Elsevier Science
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        10.1016/j.ejca.2010.08.002
        55498914
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        atl: Choosing patient-reported outcome measures for cancer clinical research – Practical principles and an algorithm to assist non-specialist researchers
      aug:
        au:
          Luckett, T.
          King, M.T.
        affil: Psycho-oncology Co-operative Research Group (PoCoG), University of Sydney, Camperdown, NSW 2006, Australia
      sug:
        subj:
          Quality of Life Evaluation
          Study Design
          Outcome Assessment Methods
          Consumer Participation
          Psychometrics
          Measurement Issues and Assessments
          Clinical Assessment Tools
          Decision Trees
      ab: Abstract: Aim: The purpose of this article is to give practical advice to researchers wishing to choose measures of quality of life and other patient-reported outcomes (PROs) for cancer clinical research. Method: Readers are guided through the process of selecting a patient-reported outcome measure (PROM) by means of six principles, illustrated with examples. Results: PROM selection should always be undertaken with consideration of specific objectives, samples, treatments and available resources. Guiding principles include: (1) always consider PROMs early in the design process within the context of other methodological decisions; (2) choose a primary PROM that is as proximal to the cancer and/or its treatment as will add to knowledge and inform practice; (3) identify candidate PROMs primarily on the grounds of scaling and content; (4) appraise the reliability, validity and ‘track records’ of candidate PROMs in studies similar to that planned; (5) look ahead to practical concerns; and (6) take a minimalist approach to ad hoc items. Conclusion: The principles and algorithms presented in this article will assist cancer clinical researchers who lack specialist expertise in patient-reported outcome measurement to make appropriate choices when selecting PROMs for their next study.
      pubtype: Academic Journal
      doctype:
        algorithm
        tables/charts
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      ougenre: Article
    language: English
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