{"id":3650,"date":"2020-06-25T16:47:49","date_gmt":"2020-06-25T08:47:49","guid":{"rendered":"http:\/\/darylchow.com\/frontiers\/?p=3650"},"modified":"2020-06-28T00:49:16","modified_gmt":"2020-06-27T16:49:16","slug":"10problems","status":"publish","type":"post","link":"https:\/\/darylchow.com\/frontiers\/10problems\/","title":{"rendered":"10 Frontiers Problems to Solve"},"content":{"rendered":"\n

Date: 23rd June 2020.<\/em>

I started writing the first draft of this list of problems to solve in April 2019. There were like 15-17 problems at first… and that was more than a year ago.<\/p>\n\n\n\n

A crisis has a way of accelerating the future, and plus the long percolation period of this blog, you can appreciate why I want to cut to the chase.<\/p>\n\n\n\n

Here’s a list of 10 problems I believe we need to be solving:<\/p>\n\n\n\n

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#1. How to enroll practitioners to systematically track their own outcomes. <\/h3>\n\n\n\n

Indeed, more therapists are seeing the merits of implementing measures as not just as a bunch of assessment tools, but conversational tools to lit the way for our therapeutic endeavor. (read our Beyond Measure<\/a> article)

We need to come together to support each other to make this a norm rather than an exception.<\/p>\n\n\n\n

#2. How to establish a baseline performance for each clinician.<\/h3>\n\n\n\n

This is the next step that many agencies around the world who have taken the first step are now trying to do.

Want to figure out where to go? First figure out where you are at. <\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

More on this in our latest book, Better Results<\/a> (amazon affiliate link)<\/em> with Scott Miller and Mark Hubble. <\/p>\n\n\n\n

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#3. How to design a highly individualised roadmap to improve each therapist’s performance.<\/h3>\n\n\n\n

Deliberate practice (DP) is not just a bag of tricks you need to do. It is intensely personalise, based on the therapist’s baseline performance that resides in their growth edge. <\/p>\n\n\n\n

As artist Austin Kleon points out, we want to be the noun and not do the verb. DP is not a new name to a new approach; it’s a framework to help scaffold our efforts to get better. That said, this might morph into a set of specific methodology, or even ways to do deliberate practice for specific models and techniques. This is not what I mean by a highly individualised dp plan. We need to improve “therapists<\/em>” not models of “therapies.” Two reasons:

1. Adherence to particular models have shown to be a significantly low yield on impacting client outcomes (0-1%)[1], and the influence of the therapist\u2014dubbed as therapist effects in the literature\u2014accounts for more (5-9%)[2], and

2. Our clients need our complete personhood to come to the table of their therapeutic endeavor. They don’t need another cog in the wheel to churn our manualised-based work; they can read a workbook for that.
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Be wary. No quick fix here. You’d have to play the long-game. But rest-assured. As my ICCE colleagues and I are seeing, the pay-off<\/a> is worth every ouch of the effort.<\/p>\n\n\n\n

Get help in figuring out that “what” to work on that has leverage on improving your outcomes before getting seduced with the “how tos”.<\/p>\n\n\n\n\n\n\n\n

#4. Evidence-based practice meets practice-based evidence.<\/h3>\n\n\n\n

Instead of entirely relying on clinical research evidence to others, invest in localised “bench-to-bedside” research that relates with the above (see points #1 to #3).

Instead of having research conducted as a disparate academic enterprise, embed clinical research into all forms of psychotherapeutic service deliveries.

This is not just about becoming “scientist-practitioners.” We need the science to inform the art-form in real-time<\/strong><\/em>, and not 12 months after the fact. To close the loop, the art also begins to inform the direction of the science.<\/p>\n\n\n\n

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#5. Help organisations understand the importance of measuring growth, not competence.<\/h3>\n\n\n\n

An over-emphasis on performing can terribly impede deep learning. Listen to this podcast episode, When Performing Impedes Learning<\/a>).<\/p>\n\n\n\n

We get over-interested in getting “competent” and as a result, we negate deep learning. Instead, we need to design and embed “learning loops” into our work. (For more, see #10 below). Growth is the measure that we need to align ourselves with. And, we need to make sure our measures match our mission. (see #1 above)<\/p>\n\n\n\n

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#6. Pill Model vs Continuous Calibration Model: <\/h3>\n\n\n\n

By and large, the social sciences have been misled and seduced to the “pill model” way of thinking i.e., medical conventions.<\/p>\n\n\n\n

The Pill Model says <\/p>\n\n\n\n