Balance Sheets Versus Decision Dashboards to Support Patient Treatment Choices: A Comparative Analysis.
Balance Sheets Versus Decision Dashboards to Support Patient Treatment Choices: A Comparative Analysis.
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DOI:
10.1007/s40271-015-0111-6
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发表时间:
2015-12
期刊:
影响因子:
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通讯作者:
Veazie PJ
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文献类型:
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作者:
Dolan JG;Veazie PJ
Growing recognition of the importance of involving patients in preference-driven healthcare decisions has highlighted the need to develop practical strategies to implement patient-centered shared decision making. The use of tabular balance sheets to support clinical decision making is well established. More recent evidence suggests that graphic, interactive decision dashboards can help people derive a deeper understanding of information within a specific decision context. We therefore conducted a non-randomized trial comparing the effects of adding an interactive dashboard to a static tabular balance sheet on patient decision-making. The study population consisted of members of the ResearchMatch registry who volunteered to participate in a study of medical decision making. Two separate surveys were conducted: one for the control group and one for the intervention group. All participants were instructed to imagine they were newly diagnosed with a chronic illness and asked to choose between three hypothetical drug treatments that varied with regard to effectiveness, side effects, and out-of-pocket cost. Both groups made an initial treatment choice after reviewing a balance sheet. After a brief washout period, members of the control group made a second treatment choice after reviewing the balance sheet again while intervention group members made a second treatment choice after reviewing an interactive decision dashboard containing the same information. After both choices participants rated their degree of confidence in their choice on a 1–10 scale. Members of the dashboard intervention group were more likely to change their choice of preferred drug, (10.2% vs. 7.5%, p=0.054) and had a larger increase in decision confidence than the control group: 0.67 vs. 0.075, p<0.03. There were no statistically significant between group differences in decisional conflict or decision aid acceptability. These findings suggest that clinical decision dashboards may be an effective point of care decision support tool. Further research to explore this possibility is warranted.