4 Comments
May 15, 2023·edited May 15, 2023Liked by Daryl Chow

Thanks for the video link Daryl. I also valued the quote you picked out at 27:00 on how supervision needs to be improved. The other stand-outs for me were:

31:03 (PF) the most important part (of what works in therapy) involves the participation of the client in the choice of their treatment, in what it is they want to have & also designing the goals for their treatment, setting goals for the treatment, goals that can be monitored throughout treatment (to see) whether they are attaining those goals.

32:00 (PF)...you also have to train the supervisors so they can supervise in the way that I think Bruce and I agree on, with videos and giving feedback in the way that I think we both agree is essential. But that's not enough either, you’ve got to train the managers, the people who organize the service in how the services should be delivered.

32:52 (PF) if you're trying to bring things to scale…the one-word answer in this is…you use another science that we don't normally talk about…implementation science, the science of how you can bring things to scale and you use that research evidence to guide what you do

P.S - I love Joni's "Both Sides Now".

Expand full comment
author

I love that you picked up the implementation science bit.

Expand full comment
May 12, 2023Liked by Daryl Chow

Two gems in the Fonagy/Wampold recording---'Its us--therapists who make the therapy work." + what doesn't work is treatments without structure.

Being empathic is not enough, evidence based treatments are not the answer and what works for whom is the art and science of being a therapist and using outcome measures and feedback conversations is the way to honour the client voice with a model of care that works.

Thanks Daryl for this recording that reminds us of many significant aspects of our work.

Expand full comment
author

Kaye, thanks!

I have troubles w the "what works for whom" statement. As you've pointed out... it's also "by whom".

More, we are prone to making ecological fallacies. For instance, if we learn that a particular treatment has a 75% chance of improvement for X population and Y problem based on a clinical trial, we think that if your client is also from X population and has Y problem, the chance of success is also 75%. That's a conflation.

Expand full comment