Literature DB >> 11722854

The decisional conflict scale: further validation in two samples of Dutch oncology patients.

N Koedoot1, S Molenaar, P Oosterveld, P Bakker, A de Graeff, M Nooy, I Varekamp, H de Haes.   

Abstract

The importance of patient involvement in medical decision making is indisputable. Yet, decision making concerning medical treatment options is a difficult task for most patients. In order to study decision-making processes in health care, O'Connor developed the decisional conflict scale (DCS). The DCS assesses the level of 'decisional conflict' that patients experience while making health care decisions, and encompasses the following three subscales: (1) uncertainty about choosing among alternatives; (2) factors contributing to uncertainty; (3) perceived effectiveness of the decision. The aim of the present study is to investigate the reliability and validity of the Dutch version of the DCS. A written version of the DCS was administered in two samples of Dutch cancer patients. One sample consisted of cancer patients faced with the decision whether or not to undergo palliative chemotherapy (N=29). The other sample included women with early stage breast cancer who had to choose between mastectomy or lumpectomy followed by radiation therapy (N=141). The response rates were 76% and 91%, respectively. The reliability coefficients of the three subscales were 0.52, 0.80, 0.84, and 0.74, 0.83, 0.83 in the two samples, respectively. Construct validity was partly supported. Criterion validity was substantiated. In evaluating the factorial validity, it was found that the original three-factor model had to be rejected (chi(2)(87)=293, root mean square error of approximation (RMSEA)=0.137). A subsequent exploratory factor analysis suggested an alternative four-factor model. The psychometric properties of the DCS were partly confirmed in Dutch cancer patients. Improved 'wording' of certain items, e.g. to avoid double negatives, could further increase the factorial validity of the DCS. Then, this scale may be a valuable tool for studies that address the quality of medical decision making.

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Year:  2001        PMID: 11722854     DOI: 10.1016/s0738-3991(01)00120-3

Source DB:  PubMed          Journal:  Patient Educ Couns        ISSN: 0738-3991


  43 in total

Review 1.  A systematic review of measures of end-of-life care and its outcomes.

Authors:  Richard A Mularski; Sydney M Dy; Lisa R Shugarman; Anne M Wilkinson; Joanne Lynn; Paul G Shekelle; Sally C Morton; Virginia C Sun; Ronda G Hughes; Lara K Hilton; Margaret Maglione; Shannon L Rhodes; Cony Rolon; Karl A Lorenz
Journal:  Health Serv Res       Date:  2007-10       Impact factor: 3.402

2.  Effect of a Skills Training for Oncologists and a Patient Communication Aid on Shared Decision Making About Palliative Systemic Treatment: A Randomized Clinical Trial.

Authors:  Inge Henselmans; Hanneke W M van Laarhoven; Pomme van Maarschalkerweerd; Hanneke C J M de Haes; Marcel G W Dijkgraaf; Dirkje W Sommeijer; Petronella B Ottevanger; Helle-Brit Fiebrich; Serge Dohmen; Geert-Jan Creemers; Filip Y F L de Vos; Ellen M A Smets
Journal:  Oncologist       Date:  2019-11-26

3.  The effect of a decision aid on informed decision-making in the era of non-invasive prenatal testing: a randomised controlled trial.

Authors:  Lean Beulen; Michelle van den Berg; Brigitte Hw Faas; Ilse Feenstra; Michiel Hageman; John Mg van Vugt; Mireille N Bekker
Journal:  Eur J Hum Genet       Date:  2016-05-18       Impact factor: 4.246

4.  Assessment of Decisional Conflict about the Treatment of Trigger Finger, Comparing Patients and Physicians.

Authors:  Michiel G J S Hageman; Anne-Carolin Döring; Silke A Spit; Thierry G Guitton; David Ring
Journal:  Arch Bone Jt Surg       Date:  2016-10

5.  Decisional conflict and regret: consequences of surrogate decision making for the chronically critically ill.

Authors:  Ronald L Hickman; Barbara J Daly; Eunsuk Lee
Journal:  Appl Nurs Res       Date:  2011-06-11       Impact factor: 2.257

6.  Psychometric assessment of the Chinese version of the decisional conflict scale in Chinese women making decision for breast cancer surgery.

Authors:  Wendy W T Lam; Marie Kwok; Qiuyan Liao; Miranda Chan; Amy Or; Ava Kwong; Dacita Suen; Richard Fielding
Journal:  Health Expect       Date:  2012-11-21       Impact factor: 3.377

7.  Are you SURE?: Assessing patient decisional conflict with a 4-item screening test.

Authors:  France Légaré; Stephen Kearing; Kate Clay; Susie Gagnon; Denis D'Amours; Michel Rousseau; Annette O'Connor
Journal:  Can Fam Physician       Date:  2010-08       Impact factor: 3.275

8.  Cross-cultural validation of the Decisional Conflict Scale in a sample of French patients.

Authors:  Julien Mancini; Gaëlle Santin; Françoise Chabal; Claire Julian-Reynier
Journal:  Qual Life Res       Date:  2006-08       Impact factor: 4.147

9.  Can we test for hereditary cancer at 18 years when we start surveillance at 25? Patient reported outcomes.

Authors:  Aisha S Sie; Judith B Prins; Liesbeth Spruijt; C Marleen Kets; Nicoline Hoogerbrugge
Journal:  Fam Cancer       Date:  2013-12       Impact factor: 2.375

10.  More breast cancer patients prefer BRCA-mutation testing without prior face-to-face genetic counseling.

Authors:  Aisha S Sie; Wendy A G van Zelst-Stams; Liesbeth Spruijt; Arjen R Mensenkamp; Marjolijn J L Ligtenberg; Han G Brunner; Judith B Prins; Nicoline Hoogerbrugge
Journal:  Fam Cancer       Date:  2014-06       Impact factor: 2.375

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