Exploring the black box of a decision aid: what information do patients select from an interactive Cd-Rom on treatment options in breast cancer?
- PMID: 16945498
- DOI: 10.1016/j.pec.2006.06.022
Exploring the black box of a decision aid: what information do patients select from an interactive Cd-Rom on treatment options in breast cancer?
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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