Here are our token "prizes." Parking passes, video, water bottle, T-shirt and sweatshirt
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Quinn R Pack
28 posts
Quinn R Pack
@QuinnPack
Preventive Cardiologist, Husband and Father, Physician Scientist
Ellington, CT Beigetreten Ocak 2018
14 Folgt93 Follower
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… pubmed.ncbi.nlm.nih.gov/23595006/
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@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.)
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@QuinnPack Why wouldn’t being a woman be on this list???? #cardiacrehabchat
Phoenix, AZ 🇺🇸 English
A2. #CardiacRehabChat Here is a risk model we developed to identify patients at risk. It's no perfect, but it has helped our program.
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Quinn R Pack retweetet
@cardiac_rehab7 @MillionHeartsUS We have almost 10 volunteers who do great work for us and the program!
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@MillionHeartsUS #CardiacRehabChat
Have patients who have completed cardiac rehab become volunteers to encourage others patients who are contemplating CR .
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Q6: What tactics have you found effective in helping participants to complete #CardiacRehab? #CardiacRehabChat
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I had this on my office front door for a full year. Then I gave it to our surgeons to post in the clinic!
Dr. Martha Gulati ♥️🫀❤️🩹🇨🇦@DrMarthaGulati
@MillionHeartsUS We have made these posters from @CardioSmart that should be in doctor’s offices and waiting rooms about #cardiac rehab #cardiacrehabchat #cardiacrehabweek
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Quinn R Pack retweetet
@MillionHeartsUS We have made these posters from @CardioSmart that should be in doctor’s offices and waiting rooms about #cardiac rehab #cardiacrehabchat #cardiacrehabweek
Phoenix, AZ 🇺🇸 English
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 pubmed.ncbi.nlm.nih.gov/28365100/
Sol Vidal Almela, PhD 🔬@sol_vidalalmela
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
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A4: Our center serves Phase 2 rehab, stroke rehab & preventive patients. previously had fixed times for phase 2, but found patients wo flexible working hrs didn't complete-now allow early a.m or late afternoon sessions. Participation has improved significantly. #CardiacRehabChat
Million Hearts®@MillionHeartsUS
Q4: What other strategies have worked to address time related barriers for participants? #CardiacRehabChat
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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. pubmed.ncbi.nlm.nih.gov/25098437/
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@QuinnPack The low risk clients are often the ones that don't come back after a few sessions. I sometimes change the exercise prescription to be purely RPE based rather than HR bases for some of them. #CardiacRehabChat
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#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!
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@ABCardio1 This is a problem in the US. There is some NIH funding testing direct transportation interventions (Uber, Lyft, etc.)
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Yes, in Barbados transportation is a problem. This is discussed at enrollment and nurses help patients identify ways to overcome this limitation. Our more flexible scheduling has helped with this. #CardiacRehabChat
AACVPR@AACVPR
Cost hurdles come in all shapes and sizes, from transportation limitations to limited time away from work. #cardiacrehabchat
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@MillionHeartsUS Yes, we are just starting our "grateful patient fund" to help defray some of copay costs.
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Some CR programs have established philanthropic funds to help participants with high out-of-pocket costs or economic burden to navigate payment options. #CardiacRehabChat
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@ABCardio1 @FaganBarbra Retrospective data suggests that 36 sessions is the best.
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@FaganBarbra Depending on the level of risk - 24 sessions for low, 30 for moderate, 36 for high risk #cardiacrehabchat
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A1: Here in #Barbados, we track time from referral to initial assessment, proportion of patients who actually start program once assessed, proportion who complete the program, time to completion, timeliness of reviews. #CardiacRehabChat
Million Hearts®@MillionHeartsUS
Q1: What types of data do you collect, and how do you use them to track patient engagement in cardiac rehab? #CardiacRehabChat
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@FaganBarbra This was in a survey and the 50% was a 5-year question. They only had to do one QI project during the past 5 years to answer yes.
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@QuinnPack #cardiacrehabchat Thanks Quinn...seems like 50% is generous!
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#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.
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@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.
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Q2: How do you identify populations at risk for low engagement in your CR program? #CardiacRehabChat
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