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Implementation Science at UW

Keywords: Erin LePoire

✪ Factors Affecting the Initiation of a Shared Decision Making Program in Obstetric Practices

Authors:

Deborah J. Bowen, Ann M. Nguyen, Cynthia LeRouge, Erin LePoire, & Tao Sheng Kwan-Gett

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: September 2021

Read the full text in the open access journal Healthcare
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Abstract:

As healthcare systems progress toward initiatives that increase patient engagement, stakeholder hopes are that shared decision making (SDM) will become routine practice. Yet, there is limited empirical evidence to guide such SDM program implementations, particularly in obstetric practices. The first stage of any project implementation is the "initiation stage", in which project leaders define a project's purpose and stakeholders and structures are put in place to support the new initiative.

Our study's objective was to identify factors affecting the initiation stage of an SDM program implementation project for TOLAC, trial of labor after Cesarean. We conducted a multiple-case study of an SDM program implementation in three obstetric settings in Washington State. The research design and analysis were guided by implementation science frameworks and project management literature. Data sources included interviews with key informants from the State, SDM tool vendors, and three project sites, as well as implementation documents.

The study results provide insight into how the identified project implementation factors provide an essential foundation for informing project planning, execution, and reflection/evaluation. In this study, the State's decision aid certification program pressured the project sites to shape the project purpose and engage stakeholders that would meet immediate project requirements (specifically, state requirements).

The study reveals that external demands may not be in perfect alignment with the internal necessities required for an SDM program's long-term viability and sustainability. Findings may be used by implementers and researchers to model and strategize the early stages of SDM program implementation projects, particularly in the obstetric setting.

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**

✪ Population-based implementation of behavioral health detection and treatment into primary care: early data from New York state

Authors:

Deborah J. Bowen, Ashley Heald, Erin LePoire, Amy Jones, Danielle Gadbois, Joan Russo, & Jay Carruthers

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: September 2021

Read the full text in the open access journal BMC Health Services Research
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Abstract:

Background

The Collaborative Care Model is a well-established, evidence-based approach to treating depression and other common behavioral health conditions in primary care settings. Despite a robust evidence base, real world implementation of Collaborative Care has been limited and very slow. The goal of this analysis is to better describe and understand the progression of implementation in the largest state-led Collaborative Care program in the nation—the New York State Collaborative Care Medicaid Program.

Data are presented using the RE-AIM model, examining the proportion of clinics in each of the model’s five steps from 2014 to 2019.

Methods

We used the RE-AIM model to shape our data presentation, focusing on the proportion of clinics moving into each of the five steps of this model over the years of implementation. Data sources included: a New York State Office of Mental Health clinic tracking database, billing applications, quarterly reports, and Medicaid claims.

Results

A total of 84% of clinics with which OMH had an initial contact [n = 611clinics (377 FQHCs and 234 non-FQHCs)] received some form of training and technical assistance. Of those, 51% went on to complete a billing application, 41% reported quarterly data at least once, and 20% were able to successfully bill Medicaid. Of clinics that reported data prior to the first quarter of 2019, 79% (n = 130) maintained Collaborative Care for 1 year or more. The receipt of any training and technical assistance was significantly associated with our implementation indices: (completed billing application, data reporting, billing Medicaid, and maintaining Collaborative Care). The average percent of patient improvement for depression and anxiety across 155 clinics that had at least one quarter of data was 44.81%. Training and technical assistance source (Office of Mental Health, another source, or both) and intensity (high/low) were significantly related to implementation indices and were observed in FQHC versus non-FQHC samples.

Conclusions

Offering Collaborative Care training and technical assistance, particularly high intensity training and technical assistance, increases the likelihood of implementation. Other state-wide organizations might consider the provision of training and technical assistance when assisting clinics to implement Collaborative Care.

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**