Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1075
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Context: Emergency department (ED) "boarding" for behavioral health occurs when patients remain in emergency rooms overnight due to a lack of available psychiatric beds. However, quantification of the problem and demographic characterization of affected populations have been limited and manual. When a patient stays in the ED awaiting either an inpatient psychiatric bed or community care, this is known as a behavioral health hold (BHH). Understanding of BHH requires statewide, 'real-time' data collection that does not widely exist.
Program: Collaborators leveraged an existing syndromic surveillance system to compile ED data from across North Carolina into an executive BHH dashboard by developing a custom data extract, implementing a BHH case definition, and curating the data in a secure environment. Data come from 131 hospitals submitting ED visit data to NC DETECT, and the resulting extract includes patients with ED encounters lasting at least 24 hours for a behavioral health reason from November 2022 to November 2024.
Implementation: The team implemented and evaluated multiple case definitions of BHH based on ICD-10 codes or keywords listed within the free-text encounter chief complaint. One case definition and four metrics were selected for use within a dashboard based on subject matter expert feedback. US Census Bureau data were used to create population denominators and estimate population rates, which are presented in an equity context.
Evaluation: This dashboard enabled data-driven funding and policy decisions for additional crisis stabilization resources, including Facility Based Crisis (FBC) facilities, Behavioral Health Urgent Care (BHUC) facilities, and Mobile Response and Stabilization Services.
Discussion: A cross-departmental approach provided the necessary expertise for state departments of health to capitalize on an existing syndromic surveillance system to address a behavioral health policy need. This novel approach, encapsulated in a dashboard, places intelligence about the burden of BHH directly in the hands of policy makers.
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Source |
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http://dx.doi.org/10.1097/PHH.0000000000002210 | DOI Listing |