Advertisement
Schwerpunkt| Volume 106, ISSUE 4, P264-271, 2012

Download started.

Ok

The OPTION scale for the assessment of shared decision making (SDM): methodological issues

  • Jennifer Nicolai
    Correspondence
    Korrespondenzadresse. Dr. Jennifer Nicolai, Department of General Internal Medicine and Psychosomatics, University of Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany. Phone +49-6221-56-37410; Fax: +49-6221-56-8450.
    Affiliations
    Department of General Internal Medicine and Psychosomatics, Center for Psychosocial Medicine, University of Heidelberg, GermanyAbteilung für Allgemeine Innere Medizin und Psychosomatik, Zentrum für Psychosoziale Medizin, Ruprecht Karls Universität Heidelberg
    Search for articles by this author
  • Morten Moshagen
    Affiliations
    Psychologie III, Universität Mannheim, Germany
    Search for articles by this author
  • Wolfgang Eich
    Affiliations
    Department of General Internal Medicine and Psychosomatics, Center for Psychosocial Medicine, University of Heidelberg, GermanyAbteilung für Allgemeine Innere Medizin und Psychosomatik, Zentrum für Psychosoziale Medizin, Ruprecht Karls Universität Heidelberg
    Search for articles by this author
  • Christiane Bieber
    Affiliations
    Department of General Internal Medicine and Psychosomatics, Center for Psychosocial Medicine, University of Heidelberg, GermanyAbteilung für Allgemeine Innere Medizin und Psychosomatik, Zentrum für Psychosoziale Medizin, Ruprecht Karls Universität Heidelberg
    Search for articles by this author

      Summary

      Background

      Promoting patient involvement in medical decision making has become a desirable goal in medical consultations. Reliable and valid measures are necessary to evaluate interventions designed to promote shared decision making and to understand determinants and associations. The OPTION (“observing patient involvement”) scale is the most prominent observation instrument for assessing the extent to which clinicians actively involve patients in decision making.

      Objective

      This paper discusses psychometric and methodological characteristics of the OPTION scale.

      Results

      There is little support for the purported unidimensional structure. Although reliabilities are acceptable, results are highly heterogeneous across studies. There is also little evidence concerning validity. In particular, studies mainly failed to support convergent validity. Additional issues pertain to lack of item independence, restriction of range, and failure to consider dyadic aspects.

      Conclusions

      Given these findings, a number of methodological and conceptual issues still need to be addressed for the effective measurement of patient involvement. Directions for future research are discussed.

      Zusammenfassung

      Hintergrund

      Die Beteiligung von Patienten an medizinischen Entscheidungen ist zu einem wichtigen Qualitätsmerkmal in Konsultationen geworden. Die Evaluation von Interventionen zur Förderung partizipativer Entscheidungsfindung und Forschung zum Verständnis von Determinanten effektiver medizinischer Entscheidungsfindung verlangt reliable und valide Messinstrumente. OPTION ist das am weitesten verbreitete Beobachtungsinstrument zur Erfassung des Ausmaßes, in dem Ärzte ihre Patienten aktiv an der Entscheidungsfindung beteiligen.

      Ziel

      In dieser Arbeit werden psychometrische und methodologische Aspekte der OPTION-Skala diskutiert.

      Ergebnisse

      Für die angenommene einfaktorielle Struktur gibt es keine klare Evidenz. Die Reliabilitäten liegen meist im akzeptablen Bereich, sind über verschiedene Studien heterogen. Die Validität ist kaum belegt. Insbesondere die konvergente Validität von OPTION konnte nicht bestätigt werden. Als weitere Probleme werden Abhängigkeiten zwischen Items, geringe Streuung in den OPTION-Werten und die fehlende Berücksichtigung dyadischer Aspekte identifiziert.

      Schlussfolgerungen

      Die Übersicht verweist auf verschiedene konzeptuelle und psychometrische Probleme, die in zukünftigen Untersuchungen berücksichtigt werden müssen. Es werden Anregungen für weitere Forschungsarbeiten gegeben.

      Key words

      Schlüsselwörter

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      References

        • Charles C.
        • Gafni A.
        • Whelan T.
        Decision-making in the physician–patient encounter: revisiting the shared treatment decision-making model.
        Social Science & Medicine. 1999 Sep; 49: 651-661
        • Andrew G.H.T.
        The meaning of patient involvement and participation in health care consultations: A taxonomy.
        Social Science & Medicine. 2007 März; 64: 1297-1310
        • Street Jr., R.L.
        • Voigt B.
        Patient participation in deciding breast cancer treatment and subsequent quality of life.
        Med Decis Making. 1997 Sep; 17: 298-306
        • Davison B.J.
        • Goldenberg S.L.
        Decisional regret and quality of life after participating in medical decision-making for early-stage prostate cancer.
        BJU Int. 2003 Jan; 91: 14-17
        • Charles C.
        • Gafni A.
        • Whelan T.
        Self-reported use of shared decision-making among breast cancer specialists and perceived barriers and facilitators to implementing this approach.
        Health Expect. 2004 Dez; 7: 338-348
      1. Kasper J, Légaré F, Scheibler F, Geiger F. Turning signals into meaning -’Shared decision making’ meets communication theory. Health Expectations: An International Journal of Public Participation in Health Care and Health Policy [Internet]. 2011 Feb 16 [zitiert 2011 Nov 1]; Available von: http://www.ncbi.nlm.nih.gov/pubmed/21323823

        • Elwyn G.
        • Edwards A.
        • Wensing M.
        • Hood K.
        • Atwell C.
        • Grol R.
        Shared decision making: developing the OPTION scale for measuring patient involvement.
        Quality and Safety in Health Care. 2003 Apr 1; 12: 93-99
        • Elwyn G.
        • Hutchings H.
        • Edwards A.
        • Rapport F.
        • Wensing M.
        • Cheung W.
        • et al.
        The OPTION scale: measuring the extent that clinicians involve patients in decision making tasks.
        Health Expectations. 2005 März 1; 8: 34-42
        • Kindler C.H.
        • Szirt L.
        • Sommer D.
        • Häusler R.
        • Langewitz W.
        A quantitative analysis of anaesthetist–patient communication during the pre operative visit.
        Anaesthesia. 2005 Jan 1; 60: 53-59
        • Melbourne E.
        • Sinclair K.
        • Durand M.-A.
        • Légaré F.
        • Elwyn G.
        Developing a dyadic OPTION scale to measure perceptions of shared decision making.
        Patient Educ Couns. 2010 Feb; 78: 177-183
        • Melbourne E.
        • Roberts S.
        • Durand M.-A.
        • Newcombe R.
        • Légaré F.
        • Elwyn G.
        Dyadic OPTION: Measuring perceptions of shared decision-making in practice.
        Patient Educ Couns. 2011 Apr; 83: 55-57
      2. Hirsch O, Keller H, Müller Engelmann M, Gutenbrunner MH, Krones T, Donner Banzhoff N. Reliability and validity of the German version of the OPTION scale. Health Expectations [Internet]. [zitiert 2011 Nov 1]; Available von: http://onlinelibrary.wiley.com/doi/10.1111/j.1369-7625.2011.00689.x/Abstract

        • Goossensen A.
        • Zijlstra P.
        • Koopmanschap M.
        Measuring shared decision making processes in psychiatry: Skills versus patient satisfaction.
        Patient Education and Counseling. 2007 Juli; 67: 50-56
        • Gagnon S.
        • Labrecque M.
        • Njoya M.
        • Rousseau F.
        • St-Jacques S.
        • Légaré F.
        How much do family physicians involve pregnant women in decisions about prenatal screening for Down syndrome?.
        Prenat Diagn. 2010 Feb; 30: 115-121
        • Nunnally J.C.
        Psychometric theory.
        McGraw-Hill, New York1978
        • Siriwardena A.N.
        • Edwards A.G.
        • Campion P.
        • Freeman A.
        • Elwyn G.
        Involve the patient and pass the MRCGP: investigating shared decision making in a consulting skills examination using a validated instrument.
        Br J Gen Pract. 2006 Nov 1; 56: 857-862
      3. Fleiss JL. The Design and Analysis of Clinical Experiments [Internet]. New York: John Wiley & Sons, Inc.; 1999 [zitiert 2012 März 12]. Available von: http://onlinelibrary.wiley.com/doi/10.1002/9781118032923.fmatter/summary

        • Shrout P.E.
        • Fleiss J.L.
        Intraclass correlations: Uses in assessing rater reliability.
        Psychological Bulletin. 1979; 86: 420-428
        • Goss C.
        • Fontanesi S.
        • Mazzi M.A.
        • Del Piccolo L.
        • Rimondini M.
        • Elwyn G.
        • et al.
        Shared decision making: the reliability of the OPTION scale in Italy.
        Patient Educ Couns. 2007 Juni; 66: 296-302
        • Nicolai J.
        • Demmel R.
        • Farsch K.
        Effects of mode of presentation on ratings of empathic communication in medical interviews.
        Patient Educ Couns. 2010 Juli; 80: 76-79
        • Campbell D.T.
        • Fiske D.W.
        Convergent and discriminant validation by the multitrait-multimethod matrix.
        Psychological Bulletin. 1959; 56: 81-105
        • Jick T.D.
        Mixing Qualitative and Quantitative Methods: Triangulation in Action.
        Administrative Science Quarterly. 1979 Dez 1; 24: 602-611
        • Butow P.
        • Juraskova I.
        • Chang S.
        • Lopez A.-L.
        • Brown R.
        • Bernhard J.
        Shared decision making coding systems: How do they compare in the oncology context?.
        Patient Education and Counseling. 2010 Feb; 78: 261-268
        • Weiss M.C.
        • Peters T.J.
        Measuring shared decision making in the consultation: a comparison of the OPTION and Informed Decision Making instruments.
        Patient Educ Couns. 2008 Jan; 70: 79-86
      4. Sonntag U, Wiesner J, Fahrenkrog S, Renneberg B, Braun V, Heintze C. Motivational interviewing and shared decision making in primary care. Patient Education and Counseling, 2011.

        • Lane C.
        • Huws-Thomas M.
        • Hood K.
        • Rollnick S.
        • Edwards K.
        • Robling M.
        Measuring adaptations of motivational interviewing: the development and validation of the behavior change counseling index (BECCI).
        Patient Education and Counseling. 2005 Feb; 56: 166-173
        • Kasper J.
        • Heesen C.
        • Köpke S.
        • Fulcher G.
        • Geiger F.
        Patients’ and Observers’ Perceptions of Involvement Differ. Validation Study on Inter-Relating Measures for Shared Decision Making.
        PLoS ONE. 2011 Okt 17; 6: e26255
        • Smith A.
        • Juraskova I.
        • Butow P.
        • Miguel C.
        • Lopez A.-L.
        • Chang S.
        • et al.
        Sharing vs. caring--the relative impact of sharing decisions versus managing emotions on patient outcomes.
        Patient Educ Couns. 2011 Feb; 82: 233-239
        • Elwyn G.
        • Edwards A.
        • Hood K.
        • Robling M.
        • Atwell C.
        • Russell I.
        • et al.
        Achieving involvement: process outcomes from a cluster randomized trial of shared decision making skill development and use of risk communication aids in general practice.
        Family Practice. 2004; 21: 337-346
        • Mullan R.J.
        • Montori V.M.
        • Shah N.D.
        • Christianson T.J.H.
        • Bryant S.C.
        • Guyatt G.H.
        • et al.
        The diabetes mellitus medication choice decision aid: a randomized trial.
        Arch Intern Med. 2009 Sep 28; 169: 1560-1568
        • Nannenga M.R.
        • Montori V.M.
        • Weymiller A.J.
        • Smith S.A.
        • Christianson T.J.H.
        • Bryant S.C.
        • et al.
        A treatment decision aid may increase patient trust in the diabetes specialist. The Statin Choice randomized trial.
        Health Expectations. 2009 März 1; 12: 38-44
        • McKinstry B.
        • Hammersley V.
        • Burton C.
        • Pinnock H.
        • Elton R.
        • Dowell J.
        • et al.
        The quality, safety and content of telephone and face-to-face consultations: a comparative study.
        Qual Saf Health Care. 2010 Aug; 19: 298-303
        • Shepherd H.L.
        • Barratt A.
        • Trevena L.J.
        • McGeechan K.
        • Carey K.
        • Epstein R.M.
        • et al.
        Three questions that patients can ask to improve the quality of information physicians give about treatment options: a cross-over trial.
        Patient Educ Couns. 2011 Sep; 84: 379-385
        • Messick S.
        Validity of psychological assessment: Validation of inferences from persons’ responses and performances as scientific inquiry into score meaning.
        American Psychologist. 1995; 50: 741
        • Loh A.
        • Simon D.
        • Hennig K.
        • Hennig B.
        • Härter M.
        • Elwyn G.
        The assessment of depressive patients’ involvement in decision making in audio-taped primary care consultations.
        Patient Education and Counseling. 2006 Nov; 63: 314-318
        • Lord F.M.
        • Novick M.R.
        • Birnbaum A.
        Statistical theories of mental test scores.
        Addison-Wesley, Oxford, England1968
        • Steyer R.
        Models of classical psychometric test theory as stochastic measurement models: Representation, uniqueness, meaningfulness, identifiability, and testability.
        Methodika. 1989; 3: 25-60
        • Novick M.R.
        The axioms and principal results of classical test theory.
        Journal of Mathematical Psychology. 1966; 3: 1-18
        • Wang W.-C.
        • Wilson M.
        Exploring Local Item Dependence Using a Random-Effects Facet Model.
        Applied Psychological Measurement. 2005 Juli 1; 29: 296-318
        • Marais I.
        • Andrich D.
        Formalizing dimension and response violations of local independence in the unidimensional Rasch model.
        Journal of applied measurement. 2008; 9: 200-215
        • Wirtz V.
        • Cribb A.
        • Barber N.
        Patient–doctor decision-making about treatment within the consultation—A critical analysis of models.
        Social Science & Medicine. 2006 Jan; 62: 116-124
        • Entwistle V.
        • Prior M.
        • Skea Z.C.
        • Francis J.J.
        Involvement in treatment decision-making: Its meaning to people with diabetes and implications for conceptualisation.
        Social Science & Medicine. 2008 Jan; 66: 362-375
        • Dy S.M.
        Instruments for Evaluating Shared Medical Decision Making.
        Medical Care Research and Review. 2007 Dez 1; 64: 623-649
        • Guimond P.
        • Bunn H.
        • O’Connor A.M.
        • Jacobsen M.J.
        • Tait V.K.
        • Drake E.R.
        • et al.
        Validation of a tool to assess health practitioners’ decision support and communication skills.
        Patient Educ Couns. 2003 Juli; 50: 235-245
        • Shields C.G.
        • Franks P.
        • Fiscella K.
        • Meldrum S.
        • Epstein R.M.
        Rochester Participatory Decision-Making Scale (RPAD): reliability and validity.
        Ann Fam Med. 2005 Okt; 3: 436-442
        • Singh S.
        • Butow P.
        • Charles M.
        • Tattersall M.H.N.
        Shared decision making in oncology: assessing oncologist behaviour in consultations in which adjuvant therapy is considered after primary surgical treatment.
        Health Expect. 2010 Sep; 13: 244-257
        • Roter D.
        • Larson S.
        The Roter interaction analysis system (RIAS): utility and flexibility for analysis of medical interactions.
        Patient Educ Couns. 2002 Apr; 46: 243-251
        • Krupat E.
        • Frankel R.
        • Stein T.
        • Irish J.
        The Four Habits Coding Scheme: validation of an instrument to assess clinicians’ communication behavior.
        Patient Educ Couns. 2006 Juli; 62: 38-45
        • Ford S.
        • Hall A.
        • Ratcliffe D.
        • Fallowfield L.
        The Medical Interaction Process System (MIPS): an instrument for analysing interviews of oncologists and patients with cancer.
        Soc Sci Med. 2000 Feb; 50: 553-566
        • Goss C.
        • Moretti F.
        • Mazzi M.A.
        • Del Piccolo L.
        • Rimondini M.
        • Zimmermann C.
        Involving patients in decisions during psychiatric consultations.
        The British Journal of Psychiatry. 2008; 193: 416
        • Young H.N.
        • Bell R.A.
        • Epstein R.M.
        • Feldman M.D.
        • Kravitz R.L.
        Physicians’ Shared Decision-Making Behaviors in Depression Care.
        Arch Intern Med. 2008 Juli 14; 168: 1404-1408
        • Pellerin M.-A.
        • Elwyn G.
        • Rousseau M.
        • Stacey D.
        • Robitaille H.
        • Légaré F.
        Toward Shared Decision Making: Using the OPTION Scale to Analyze Resident–Patient Consultations in Family Medicine.
        Academic Medicine. 2011 Aug; 86: 1010-1018