How to use the PAT
Here we offer a brief technical summary of the PAT to explain how it works in routine aesthetic practice. Detailed information about how to use the PAT is provided to users via the PAT Companion Module.
The PAT is a clinical tool comprising a series of questions completed in dialogue with prospective clients during the initial assessment interview. The PAT is a generic (rather than procedure-specific) framework designed to guide the assessment process for all new clients (or for existing clients seeking a new procedure).
STEP 1
The client's responses are summarised under 6 known areas of psychological vulnerability linked through evidence to an increased risk of poorer outcomes following aesthetic treatment. A colour code (green, yellow or red) is generated for each area of vulnerability.
Suggestions relevant to the risk profile are provided to facilitate appropriate client management.
STEP 2
Check the risk profile generated by the client’s responses on your device. A colour code (green, yellow or red) is generated for six categories of risk.
Review all areas of elevated risk (yellow or red) and discuss these areas further with the client, if appropriate.
STEP 3
When you have summarised the outcomes of the PAT and discussed your proposed management plan with the client, the output from the PAT can be saved on your device and/or printed off. The final page of the saved file is a form with space for demographic information and a statement confirming that the client has had the opportunity to discuss his/her reasons for seeking treatment and his/her expectations of the likely aesthetic & psychological outcomes. It is recommended that both the client and clinician sign the form to confirm the assessment process. This can be saved in the client record to demonstrate the practitioner’s attention to psychological aspects of client care. A copy can also be given to the client, if desired.
Keep in mind that the PAT data is automatically deleted from the system. This is to ensure client safety and compliance with data regulations.