Literature DB >> 10098571

Patient decision support intervention: increased consistency with decision analytic models.

M Holmes-Rovner1, J Kroll, D R Rovner, N Schmitt, M Rothert, G Padonu, G Talarczyk.   

Abstract

BACKGROUND: Patient Decision Support (PDS) tools assist patients in using medical evidence to make choices consistent that are with their values and in using evidence about consequences of medical alternatives.
OBJECTIVE: To evaluate a PDS intervention for perimenopausal hormone replacement therapy. We assessed the impact of the PDS on (1) consistency between the decision to take estrogen replacement therapy (ERT) or progesterone/estrogen replacement therapy (PERT) and the expected utility of treatment and (2) likelihood to take ERT and PERT pre- and postintervention.
DESIGN: Content of the PDS was standardized. Randomized trial of three intensities of intervention: (1) brochure; (2) lecture/discussion; and (3) active decision support.
SUBJECTS: Participants were perimenopausal community volunteers between the ages of 40 and 65 (n = 248). MEASURES: (1) Consistent with values (correlation between expected utility (EU) and likelihood of taking hormones); and (2) Likelihood to take hormone replacement therapy.
RESULTS: (1) The brochure group was less consistent with the decision analytic model than the lecture/discussion and active decision support groups. (2) Influence on decisions: PDS tools increased the number of women certain about whether or not to take hormones. There were no differences among experimental groups. Of 99 women uncertain about ERT pre-PDS, 65% changed. Twenty-one (32%) decided against ERT and 44 (68%) decided for ERT. (3) More intensive interventions produced modest gains in a normative direction.
CONCLUSIONS: PDSs using any of 3 formats reduce uncertainty and assist women to make informed decisions. Increased consistency with decision analytic models appears to be driven by better estimates of likelihood of outcomes.

Entities:  

Mesh:

Year:  1999        PMID: 10098571     DOI: 10.1097/00005650-199903000-00007

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  19 in total

Review 1.  Understanding risk and lessons for clinical risk communication about treatment preferences.

Authors:  A Edwards; G Elwyn
Journal:  Qual Health Care       Date:  2001-09

2.  A tailored intervention to aid decision-making about hormone replacement therapy.

Authors:  Colleen M McBride; Lori A Bastian; Susan Halabi; Laura Fish; Isaac M Lipkus; Hayden B Bosworth; Barbara K Rimer; Ilene C Siegler
Journal:  Am J Public Health       Date:  2002-07       Impact factor: 9.308

Review 3.  Computer-generated patient education materials: do they affect professional practice? A systematic review.

Authors:  Shaun P Treweek; Claire Glenton; Andrew D Oxman; Alister Penrose
Journal:  J Am Med Inform Assoc       Date:  2002 Jul-Aug       Impact factor: 4.497

4.  Effect of release from prison and re-incarceration on the viral loads of HIV-infected individuals.

Authors:  Becky L Stephenson; David A Wohl; Carol E Golin; Hsiao-Chuan Tien; Paul Stewart; Andrew H Kaplan
Journal:  Public Health Rep       Date:  2005 Jan-Feb       Impact factor: 2.792

5.  Integrating Decision Making and Mental Health Interventions Research: Research Directions.

Authors:  Celia E Wills; Margaret Holmes-Rovner
Journal:  Clin Psychol (New York)       Date:  2006

6.  Effect of adding a values clarification exercise to a decision aid on heart disease prevention: a randomized trial.

Authors:  Stacey L Sheridan; Jennifer M Griffith; Lindy Behrend; Ziya Gizlice; Michael P Pignone
Journal:  Med Decis Making       Date:  2010-05-18       Impact factor: 2.583

7.  The role of patients' meta-preferences in the design and evaluation of decision support systems.

Authors:  Jack Dowie
Journal:  Health Expect       Date:  2002-03       Impact factor: 3.377

8.  Communication and decision making in cancer care: setting research priorities for decision support/patients' decision aids.

Authors:  Amber E Barnato; Hilary A Llewellyn-Thomas; Ellen M Peters; Laura Siminoff; E Dale Collins; Michael J Barry
Journal:  Med Decis Making       Date:  2007-09-14       Impact factor: 2.583

9.  The effect of how outcomes are framed on decisions about whether to take antihypertensive medication: a randomized trial.

Authors:  Cheryl L L Carling; Doris Tove Kristoffersen; Andrew D Oxman; Signe Flottorp; Atle Fretheim; Holger J Schünemann; Elie A Akl; Jeph Herrin; Thomas D MacKenzie; Victor M Montori
Journal:  PLoS One       Date:  2010-03-01       Impact factor: 3.240

Review 10.  On what basis should the effectiveness of decision aids be judged?

Authors:  Andrew D M Kennedy
Journal:  Health Expect       Date:  2003-09       Impact factor: 3.377

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