2023
DOI: 10.1037/fsh0000778
|View full text |Cite
|
Sign up to set email alerts
|

Leveraging the electronic medical record to measure fidelity to the primary care behavioral health model: Implications for clinical and research pursuits.

Abstract: Health and Human Services (HHS) through a Behavioral Health Workforce Education and Training grant (HRSA-20-089; PI: Jodi Polaha, PhD). The content and conclusions are those of the authors and should not be construed as the official position or policy of, nor should any endorsements be inferred by, HRSA, HHS, or the U.S. government.We thank our clinical informatics partners, Tracy Jones and Yan Lai, who made this work possible.Aubrey R. Dueweke, PhD, served as lead for data curation, formal analysis, investiga… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
2
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
2

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 18 publications
0
2
0
Order By: Relevance
“…In a recent article, we outlined the need for convenient approaches to measuring PCBH fidelity and highlighted the potential utility of leveraging the EMR for this purpose. Specifically, we partnered with our organization’s clinical informatics team to build several fidelity metrics into the EMR in a way that would be easily extractable and would not create additional documentation burden for BHCs (see Dueweke et al, 2023 for a full explanation of the process). Essential to the current study, the PCBH fidelity indicators our organization can calculate through routine BHC charting include percentage of behavioral health visits prompted by warm handoffs (accessibility), number of warm handoffs per 4-hr half day (accessibility), and number of patients per 4-hr half day (high productivity).…”
mentioning
confidence: 99%
“…In a recent article, we outlined the need for convenient approaches to measuring PCBH fidelity and highlighted the potential utility of leveraging the EMR for this purpose. Specifically, we partnered with our organization’s clinical informatics team to build several fidelity metrics into the EMR in a way that would be easily extractable and would not create additional documentation burden for BHCs (see Dueweke et al, 2023 for a full explanation of the process). Essential to the current study, the PCBH fidelity indicators our organization can calculate through routine BHC charting include percentage of behavioral health visits prompted by warm handoffs (accessibility), number of warm handoffs per 4-hr half day (accessibility), and number of patients per 4-hr half day (high productivity).…”
mentioning
confidence: 99%
“…What else matters in our evaluation of PCBH programs? Think hard about it and choose the few that are most important, and, for goodness sakes, do leverage the electronic health record to collect PCBH measurements (Dueweke et al, 2023). Convert results into action.…”
mentioning
confidence: 99%