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Depression Screening and Treatment Toolkit available on HIPxChange

Smiling doctor listening to patientAbout 1.45 million individuals in Wisconsin, have some mental or behavioral health issues, and the percentage of major depressive episodes for adults aged 18 and over is 6.56%. The mental health disorder treatment gap in Wisconsin is 49%, which equals roughly 441,378 individuals annually not receiving the care they need. Screening for depression within primary care as well as investing in evidence-based behavioral health delivery models in the primary care setting allows for greater health care capacity and improvements in health outcomes.

Rapidly Integrating Telemedicine Visits into Primary Care Toolkit on HIPxChange

Woman in telemedicineWith the onset of COVID-19, primary care systems across the country are rapidly changing clinical operations to limit in-person ambulatory visits for infection-control reasons. The Primary care Academics Transforming Healthcare (PATH) collaborative quickly redesigned primary care in their institution to introduce telemedicine visits as a practical alternative to provide needed care remotely. The innovation was the rapid development and implementation of workflows to standardize billable telemedicine visits in the primary care setting.

Thyroid Cancer Treatment Choice Toolkit Available on HIPxChange

Thyroid Cancer ImageWith the release of the 2015 American Thyroid Association (ATA) Management Guidelines for Adults with Differentiated Thyroid Cancer, treatment decisions for low-risk thyroid cancer became more complicated. Although the guidelines were meant to supplement shared patient-healthcare provider decision-making, the patient-provider deliberation often fails to meet the informational standards for patients and can often exclude available treatments. Low-risk thyroid cancer patients often don’t know what questions to ask, while the physicians report not knowing how to obtain patients’ preferences and include them into treatment decisions.

Best Case/Worst Case: ICU (COVID-19) Toolkit available on HIPxChange

Tell a storyBecause of the COVID-19 pandemic, critically ill patients have been hospitalized and isolated from their families and loved ones. In many hospitals, the palliative care team has been charged with maintaining communication between the critical care team and their patients’ families. Dr. Gretchen Schwarze and her team along with Dr. Toby Campbell created the Best Case/Worst Case: ICU (COVID-19) communication toolkit to assist separated families and to help them develop an understanding of their loved one’s illness, prognostic awareness and the range of possible outcomes.

Developing Dissemination and Implementation Capacity within a CTSA Toolkit on HIPxChange

D&IThe NIH Clinical and Translational Science Award (CTSA) Program exists to help turn research from the lab, clinic, and community into interventions that improve the health of individuals and the public at large. The field of dissemination and implementation (D&I) has essentially the same goal. Building the D&I capacity of CTSA grantees can substantially further a CTSA’s mission.

The purpose of this toolkit is to describe some key D&I resources and activities developed by the UW-Madison CTSA to support dissemination and implementation research and activities. The authors of Developing Dissemination and Implementation Capacity within a CTSA: a Toolkit hope the practical information offered might help other CTSA programs think about and develop the D&I resources that advance their goals.

A Guide to Implementation for Sustained Impact in Teleophthalmology (I-SITE) Toolkit on HIPxChange

Diabetic eye disease is the leading cause of blindness among working-age U.S. adults. Early detection and treatment can reduce the risk of blindness by over 90%, but fewer than half of adults with diabetes obtain yearly recommended eye screening. Teleophthalmology makes it easier for patients to obtain diabetic eye screening by providing convenient access to high-quality, vision saving eye care at low cost. HIP Investigator, Dr.

HIP Model and Tools for Research with Learning Health Systems available on HIPxChange

HIP ModelThe HIP Model and Tools for Research with Learning Health Systems is now available on HIPxChange. This model and tools defines specific steps for projects to create sustainable change based on research conducted within the health system. The HIP Model builds a bridge between science and clinical care to ensure that high-priority questions are identified and pursued and that results are shared with the health system to support system-wide change.

New 2019 Wisconsin Health Disparities Report and Appendix Available

WCHQ 2019 Wisconsin Health Disparities ReportReport Overview

The Wisconsin Collaborative for Healthcare Quality (WCHQ), in collaboration with Health Innovation Program, developed the Wisconsin Health Disparities Report to identify where disparities in health outcomes and care exist in Wisconsin and to help inform and accelerate programs that are working to eliminate disparities.

Number Needed to Treat Thresholding Toolkit Available on HIPxChange

NNT vs Number ReferredRecently, healthcare has seen a sharp rise in the implementation of machine learning derived algorithms for predicting risk across a broad range of clinical scenarios. The Number Needed to Treat Thresholding Toolkit created by HIP Investigator, Dr. Brian Patterson of the BerbeeWalsh Department of Emergency Medicine, allows users to generate similar graphs, either from raw data of an algorithm’s performance in a given population, or applying an algorithm with known test characteristics at various thresholds to a theoretical population.

Predictive Models: A Toolkit to Guide Implementation in Health Systems available on HIPxChange

Decision TreePredictive analytics has the potential to transform the health care system by using existing data to predict and prevent poor clinical outcomes, provide targeted care, and lower costs. A challenge for health systems is selecting and implementing predictive models within clinical and operational workflows.

To guide health systems through the process of selecting and implementing a predictive model within their system, the UW Health Applied Data Science team and the Health Innovation Program developed a toolkit to support planning for and implementation of a predictive model. This toolkit was tested through the implementation of a sepsis prediction model in the inpatient setting at UW Health, a large Midwestern academic health system with four hospitals.

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