Skip to content
Branch: master
Find file History
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
..
Failed to load latest commit information.
README.md
agg_v15_2019_02_14.mdl
cc_v36_2019_02_20.mdl
mm_v36_2019_02_20-v2.mdl
psy_v21_2019_04_17.mdl
sp_v3_2019_04_23.mdl

README.md

mtl 1.8

Modeling to Learn by Team PSD - Release 1.8

In this folder are the five simulation modules of Modeling to Learn.

The version 1.8 release encompasses changes explicitly requested by users (i.e., adding experiments, like the ability to implement an Intensive Outpatient Program in psychotherapy) and updates necessary to improve the user interface (under the hood changes to enable new features, like experimenting quarter by quarter). While these changes improve the usability of the models through Forio, some of them make the models harder to understand in Vensim (removing all subscripts to accomodate Gaming variables). If you want to delve into the models in Vensim, then we suggest first exploring v1.7 before opening the most recent version.

  • Care Coordination (CC) This module shows how a variety of team decisions interact to impact multiple outcomes at the same time. You can explore trade-offs between decisions such as desired new patient wait times, current patient return visit intervals, and overbooking and how they affect team outcomes like total missed appointments, number of patients in care, and number of patients completing care.

  • Medication Management (MM) This module enables you to experiment with how team decisions about referrals, time allocation and visit frequency impact the quality of medication management for patients. Your team can explore scenarios to balance these tradeoffs and better meet the specific needs of patients with depression, alcohol use disorder and opioid use disorder. Insights you gain can help you increase local reach of evidence-based pharmacotherapies.

  • Psychotherapy (PSY) This module shows how team psychotherapy decisions interact, and depicts patterns of psychotherapy engagement in your team. You can explore solutions to the challenges of getting patients to complete a full course of therapy, while also achieving goals to start enough new patients in psychotherapy. Insights about these dynamics can be used to increase the local reach of evidence-based psychotherapies.

  • Aggregate (AGG) This module shows the interactions between all services offered by your team. It allows you to explore the impacts of how you allocate time across services and change within team referrals after patient review. It is also possible to experiment with your team's willingness to use overtime as a solution to a large backlog of appointments, and how sensitive your team's morale, quality of care provided and burnout are to working long hours.

  • Measurement-based Stepped Care for Suicide Prevention (SP) This module shows the effects of measurement based stepped care on patients' symptoms and risk. It allows you to explore the impacts of implementing measurement based care to reduce delays in detecting patients at high risk for suicide, and to improve the quality of care by making better team decisions about when to step patients up to a higher level of care, or step them down to a lower level of care. It is also possible to experiment with team decisions related to new patient wait-times and access, the use of community care, and the impacts of provider overwork and burnout on the quality of care.

You can’t perform that action at this time.