Literature DB >> 16945498

Exploring the black box of a decision aid: what information do patients select from an interactive Cd-Rom on treatment options in breast cancer?

Sjaak Molenaar1, Mirjam Sprangers, Frans Oort, Emiel Rutgers, Ernest Luiten, Jan Mulder, Marjolijn van Meeteren, Hanneke de Haes.   

Abstract

OBJECTIVE: It is thought that patients fare better when they participate in treatment decision-making, and when they have more control over the amount and type of information they receive. To facilitate informed decision-making, interactive decision aids have been introduced in health care. This article describes how much, and which information patients select from an interactive decision aid on breast cancer. To explore whether the interactive system facilitates that different patients receive different information, associations between patients' characteristics and information selection are inspected.
METHODS: The interactive decision aid was provided to 106 patients after an initial discussion with their surgeon about their diagnosis and treatment options. Information regarding patients' age, completed education, treatment preference, psychological functioning, decision uncertainty and decision style was collected with a written, structured questionnaire. The questionnaire was completed before patients used the interactive decision aid. To create categories, a median-split procedure was employed on the scores of the continuous background variables. The information patients selected from the interactive decision aid were registered into logfiles. Associations between patients' background variables and information selection were investigated by means of univariate statistics.
RESULTS: Patients (n=97; 92%) used the interactive decision aid intensively. On average, patients spent almost 70min searching for information and selected 21 information topics. Overall, treatment related information was clearly more selected than other types of information. Age, education, and decision style factors were associated with information selection.
CONCLUSION: The interactive breast cancer decision aid was utilized intensively. The interactive system was found to facilitate that different patients received different amounts and types of information. PRACTICE IMPLICATIONS: Interactive decision aids may improve information giving to patients, and as a result, the quality of care. To safeguard informed-choice, decision aids should be used in conjunction with other communication strategies. Decision aids should be available continuously and throughout the patients' disease journey. The Internet may help to achieve broad dissemination and enduring access.

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Year:  2006        PMID: 16945498     DOI: 10.1016/j.pec.2006.06.022

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


  4 in total

1.  Expression and reception of treatment information in breast cancer support groups: how health self-efficacy moderates effects on emotional well-being.

Authors:  Kang Namkoong; Dhavan V Shah; Jeong Yeob Han; Sojung Claire Kim; Woohyun Yoo; David Fan; Fiona M McTavish; David H Gustafson
Journal:  Patient Educ Couns       Date:  2010-11-01

2.  Underuse of breast cancer adjuvant treatment: patient knowledge, beliefs, and medical mistrust.

Authors:  Nina A Bickell; Jessica Weidmann; Kezhen Fei; Jenny J Lin; Howard Leventhal
Journal:  J Clin Oncol       Date:  2009-09-21       Impact factor: 44.544

3.  Supporting informed decision making online in 20 minutes: an observational web-log study of a PSA test decision aid.

Authors:  Natalie Joseph-Williams; Rhodri Evans; Adrian Edwards; Robert G Newcombe; Patricia Wright; Richard Grol; Glyn Elwyn
Journal:  J Med Internet Res       Date:  2010-05-26       Impact factor: 5.428

4.  Launching a virtual decision lab: development and field-testing of a web-based patient decision support research platform.

Authors:  Aubri S Hoffman; Hilary A Llewellyn-Thomas; Anna N A Tosteson; Annette M O'Connor; Robert J Volk; Ivan M Tomek; Steven B Andrews; Stephen J Bartels
Journal:  BMC Med Inform Decis Mak       Date:  2014-12-12       Impact factor: 2.796

  4 in total

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