Literature DB >> 19694857

Creating case scenarios or vignettes using factorial study design methods.

Paula M Brauer1, Rhona M Hanning, Jose F Arocha, Dawna Royall, Richard Goy, Andrew Grant, Linda Dietrich, Roselle Martino, Julie Horrocks.   

Abstract

AIM: This paper is a report of a study conducted to develop clinical case vignettes using an adaptation of an incomplete factorial study design methodology.
BACKGROUND: In health care, vignettes or cases scenarios are core to problem-based learning, common in practice guideline development processes, and increasingly being used in patient or care-giver studies of chronic or life-threatening illnesses. A large number of behavioural, psycho-social and clinical factors can be relevant in such decision problems. Unbiased methods for choosing what factors to include are needed, when it is not possible to include all relevant combinations of factors in the vignettes.
METHOD: The factors to be considered, number of levels or categories for each factor, and desired number of scenarios were decided in advance. An algorithm was used first to create the full factorial data set, and then a random subset of combinations was generated, according to predefined criteria, based on maximizing determinants. The subset of combinations was incorporated into written vignettes. The study was conducted in 2004-2005.
FINDINGS: Application of the method yielded diverse and balanced scenarios that covered the full range of factors to be considered for a project to elicit health providers' processes in diet counselling for dyslipidemia.
CONCLUSION: The approach is flexible, decreases possible researcher bias in the creation of vignettes, and can improve statistical power in survey research. This novel application of study design methodology merits consideration when vignettes are being developed to elicit opinions or decisions in studies of complex health issues.

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Year:  2009        PMID: 19694857     DOI: 10.1111/j.1365-2648.2009.05055.x

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  7 in total

1.  Men's Preferences for Physical Activity Interventions: An Exploratory Study Using a Factorial Survey Design Created With R Software.

Authors:  Sheryl L Chatfield; Abigail Gamble; Jeffrey S Hallam
Journal:  Am J Mens Health       Date:  2016-04-08

Review 2.  A Rapid Review of Prescribing Education Interventions.

Authors:  Usmaan Omer; Evangelos Danopoulos; Martin Veysey; Paul Crampton; Gabrielle Finn
Journal:  Med Sci Educ       Date:  2020-11-16

3.  Provider Implicit Bias Impacts Pediatric Type 1 Diabetes Technology Recommendations in the United States: Findings from The Gatekeeper Study.

Authors:  Ananta Addala; Sarah Hanes; Diana Naranjo; David M Maahs; Korey K Hood
Journal:  J Diabetes Sci Technol       Date:  2021-04-15

4.  Patients' responses to transient ischaemic attack symptoms: a cross-sectional questionnaire study in Australian general practices.

Authors:  Parker Magin; Janet Dunbabin; Susan Goode; Jose M Valderas; Christopher Levi; Mario D'Souza; Melanie Marshall; Daniel Barker; Daniel Lasserson
Journal:  Br J Gen Pract       Date:  2015-01       Impact factor: 5.386

5.  Developing and Establishing Content Validity of Vignettes for Health Care Education and Research.

Authors:  Barbara St Marie; Andrea Jimmerson; Yelena Perkhounkova; Keela Herr
Journal:  West J Nurs Res       Date:  2020-11-05       Impact factor: 1.774

6.  Badminton Players' Moral Intentions: A Factorial Survey Study Into Personal and Contextual Determinants.

Authors:  Els De Waegeneer; Bram Constandt; Stef Van Der Hoeven; Annick Willem
Journal:  Front Psychol       Date:  2019-10-09

7.  Elicitation of Rheumatologist Preferences for the Treatment of Patients with Rheumatoid Arthritis After the Failure of a First Conventional Synthetic Disease-Modifying Anti-Rheumatic Agent.

Authors:  Eric Senbel; Frederick Durand; Baptiste Roux; Fatima-Zohra Badaoui; Bruno Fautrel
Journal:  Rheumatol Ther       Date:  2021-05-03
  7 in total

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