Yes, at Mayo Clinic, we found that toke incentives make a substantial difference in attendance. #CardiacRehabChat
Improving cardiac rehabilitation attendance and completion through quality improvement activities and a motivationa… https://t.co/y8PDPygqgc
@DrMarthaGulati It was included in the model, but didn't shake out statistically. Women are not referred, but when they show up, they adhere pretty well (at least in our program.)
I totally agree. Women are at risk, but mostly for NON-referral. Once referred, women attend at nearly equal rates.
Cardiac Rehabilitation for Women: A Systematic Review of Barriers and Solutions https://t.co/kpbiJ5DQoU
A2: I'm surprised nobody has mentioned #women as populations at risk. ♀️ attend a lower number of #cardiacrehab sessions than ♂️ and are more likely to dropout. References ⬇️⬇️ #CardiacRehabChat
A4. #CardiacRehabChat This paper shows that we MUST create new models of delivery, due to capacity restraints!
The current and potential capacity for cardiac rehabilitation utilization in the United States. https://t.co/Fz5yvZmHGq
@dcscant Hi @dcscant ! Agree, although I usually find they are more engaged when they have a Target Heart Rate and we push them harder. RPE could work, but would push them to 12-15 (traditional Borg scale.)
#CardiacRehabChat@traynor_kate
We have (unpublished) data to suggest that 18% of the cardiac rehab eligible population are heavy drinkers. Binge drinking is a risk for non-adherence. Will publish soon!
#CardiacRehabChat Here is a paper from 2015 about data measures in cardiac rehab. Turns out, that only about half of programs know what their referral or enrollment rates are. These are the basis of any QI project.
@MillionHeartsUS A2: The key predictors or attendance are 1) very young or very old, 2) smokers, 3) low socioeconomic status, 4)Racial minority, 5) non-surgical qualifying diagnosis, and 5) high copays.