Dataset Information

Impact and Feasibility of Personalized Decision Support for Older Patients with Diabetes: A Pilot Randomized Trial.

ABSTRACT:

Background

Diabetes guidelines recommend individualizing glycemic goals (A1C) for older patients. The aim of this study was to assess a personalized Web-based decision support tool.

Methods

We randomized physicians and their patients with type 2 diabetes (≥65 years of age) to a support tool or educational pamphlet (75:25 patients). Prior to a visit, intervention patients interacted with the tool, which provided personalized risk predictions and elicited treatment preferences. Main outcomes included 1) patient-doctor communication, 2) decisional conflict, 3) changes in goals, and 4) intervention acceptability.

Results

We did not find significant differences in proportions of patients who had an A1C discussion (91% intervention v. 76% control; P = 0.19). Intervention patients had larger declines in the informed subscale of decisional conflict (-20 v. 0, respectively; P = 0.04). There were no significant differences in proportions of patients with changes in goals (49% v. 28%, respectively; P = 0.08). Most intervention patients reported that the tool was easy to use (91%) and helped them to communicate (84%). A limitation was that this was a pilot trial at one academic institution.

Conclusions

Web-based decision support tools may be a practical approach to facilitating the personalization of goals for chronic conditions.

Trial registration

NCT02169999 ( https://clinicaltrials.gov/show/NCT02169999 ).

SUBMITTER: Huang ES

PROVIDER: S-EPMC5161732 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Impact and Feasibility of Personalized Decision Support for Older Patients with Diabetes: A Pilot Randomized Trial.

Huang Elbert S ES Nathan Aviva G AG Cooper Jennifer M JM Lee Sang Mee SM Shin Na N John Priya M PM Dale William W Col Nananda F NF Meltzer David O DO Chin Marshall H MH

Medical decision making : an international journal of the Society for Medical Decision Making 20160616 5

<h4>Background</h4>Diabetes guidelines recommend individualizing glycemic goals (A1C) for older patients. The aim of this study was to assess a personalized Web-based decision support tool.<h4>Methods</h4>We randomized physicians and their patients with type 2 diabetes (≥65 years of age) to a support tool or educational pamphlet (75:25 patients). Prior to a visit, intervention patients interacted with the tool, which provided personalized risk predictions and elicited treatment preferences. Main ...[more]

PMID: 27311651

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Dataset Information

Impact and Feasibility of Personalized Decision Support for Older Patients with Diabetes: A Pilot Randomized Trial.

Background

Methods

Results

Conclusions

Trial registration

Publications

Impact and Feasibility of Personalized Decision Support for Older Patients with Diabetes: A Pilot Randomized Trial.

Similar Datasets

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