Implementing an innovative consent form: the PREDICT experience
2008

Improving Informed Consent for Heart Procedures

publication Evidence: moderate

Author Information

Author(s): Carole Decker, Suzanne V. Arnold, Olawale Olabiyi, Homa Ahmad, Elizabeth Gialde, Jamie Luark, Lisa Riggs, Terry DeJaynes, Gabriel E. Soto, John A. Spertus

Primary Institution: Saint Luke's Mid America Heart Institute

Hypothesis

Can a web-based tool enhance the informed consent process for patients undergoing coronary angiography?

Conclusion

The implementation of the PREDICT tool improved patient understanding and engagement in the informed consent process.

Supporting Evidence

  • 72% of patients using PREDICT read the consent form compared to 44% with the original form.
  • 65% of PREDICT patients reported feeling not nervous at all after reading the consent form.
  • 67% of PREDICT patients felt involved in the decision-making process.

Takeaway

Doctors used a new tool to help patients understand the risks of heart procedures better, making it easier for them to ask questions and feel involved.

Methodology

A web-based tool was created to generate personalized consent documents with patient-specific risk estimates, followed by qualitative and quantitative evaluations of its implementation.

Potential Biases

Potential bias due to the involvement of developers in the evaluation process.

Limitations

The evaluation was conducted by the developers of the tool, which may introduce bias.

Participant Demographics

Patients undergoing coronary angiography at four hospitals in Kansas City.

Statistical Information

P-Value

p<0.001

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.1186/1748-5908-3-58

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