Changes in Primary Care Quality Associated With Implementation of the Veterans Health Administration Preventive Health Inventory Article Swipe
Chelle L. Wheat
,
Eric Gunnink
,
Jorge Rojas
,
Ami A. Shah
,
Karin M. Nelson
,
Edwin S. Wong
,
Kristen E. Gray
,
Susan E. Stockdale
,
Ann‐Marie Rosland
,
Evelyn T. Chang
,
Ashok Reddy
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1001/jamanetworkopen.2023.8525
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1001/jamanetworkopen.2023.8525
Importance The COVID-19 pandemic caused significant disruptions in primary care delivery. The Veterans Health Administration (VHA) launched the Preventive Health Inventory (PHI) program—a multicomponent care management intervention, including a clinical dashboard and templated electronic health record note—to support primary care in delivering chronic disease care and preventive care that had been delayed by the pandemic. Objectives To describe patient, clinician, and clinic correlates of PHI use in primary care clinics and to examine associations between PHI adoption and clinical quality measures. Design, Setting, and Participants This quality improvement study used VHA administrative data from February 1, 2021, through February 28, 2022, from a national cohort of 216 VHA primary care clinics that have implemented the PHI. Participants comprised 829 527 veterans enrolled in primary care in clinics with the highest and lowest decile of PHI use as of February 2021. Exposure Templated electronic health record note documenting use of the PHI. Main Outcomes and Measures Diabetes and blood pressure clinical quality measures were the primary outcomes. Interrupted time series models were applied to estimate changes in diabetes and hypertension quality measures associated with PHI implementation. Low vs high PHI use was stratified at the facility level to measure whether systematic differences in uptake were associated with quality. Results A total of 216 primary clinics caring for 829 527 unique veterans (mean [SD] age, 64.1 [16.9] years; 755 158 of 829 527 [91%] were men) formed the study cohort. Use of the PHI varied considerably across clinics. The clinics in the highest decile of PHI use completed a mean (SD) of 32 997.4 (14 019.3) notes in the electronic health record per 100 000 veterans compared with 56.5 (35.3) notes per 100 000 veterans at the clinics in the lowest decile of use ( P < .001). Compared with the clinics with the lowest use of the PHI, clinics with the highest use had a larger mean (SD) clinic size (12 072 [7895] patients vs 5713 [5825] patients; P < .001), were more likely to be urban (91% vs 57%; P < .001), and served more non-Hispanic Black veterans (16% vs 5%; P < .001) and Hispanic veterans (14% vs 4%; P < .001). Staffing did not differ meaningfully between high- and low-use clinics (mean [SD] ratio of full-time equivalent staff to clinician, 3.4 [1.2] vs 3.4 [0.8], respectively; P < .001). After PHI implementation, compared with the clinics with the lowest use, those with the highest use had fewer veterans with a hemoglobin A 1c greater than 9% or missing (mean [SD], 6577 [3216] per 100 000 veterans at low-use clinics; 9928 [4236] per 100 000 veterans at high-use clinics), more veterans with an annual hemoglobin A 1c measurement (mean [SD], 13 181 [5625] per 100 000 veterans at high-use clinics; 8307 [3539] per 100 000 veterans at low-use clinics), and more veterans with adequate blood pressure control (mean [SD], 20 582 [12 201] per 100 000 veterans at high-use clinics; 12 276 [6850] per 100 000 veterans at low-use clinics). Conclusions and Relevance This quality improvement study of the implementation of the VHA PHI suggests that higher use of a multicomponent care management intervention was associated with improved quality-of-care metrics. The study also found significant variation in PHI uptake, with higher uptake associated with clinics with more racial and ethnic diversity and larger, urban clinic sites.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1001/jamanetworkopen.2023.8525
- OA Status
- gold
- Cited By
- 8
- References
- 37
- Related Works
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- OpenAlex ID
- https://openalex.org/W4366083883
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4366083883Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1001/jamanetworkopen.2023.8525Digital Object Identifier
- Title
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Changes in Primary Care Quality Associated With Implementation of the Veterans Health Administration Preventive Health InventoryWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-04-17Full publication date if available
- Authors
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Chelle L. Wheat, Eric Gunnink, Jorge Rojas, Ami A. Shah, Karin M. Nelson, Edwin S. Wong, Kristen E. Gray, Susan E. Stockdale, Ann‐Marie Rosland, Evelyn T. Chang, Ashok ReddyList of authors in order
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https://doi.org/10.1001/jamanetworkopen.2023.8525Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1001/jamanetworkopen.2023.8525Direct OA link when available
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Medicine, Decile, Cohort, Primary care, Family medicine, Health care, Emergency medicine, Internal medicine, Economics, Economic growth, Statistics, MathematicsTop concepts (fields/topics) attached by OpenAlex
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8Total citation count in OpenAlex
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2025: 6, 2024: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| primary_location.source.host_organization_lineage_names | American Medical Association |
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| primary_location.raw_source_name | JAMA Network Open |
| primary_location.landing_page_url | https://doi.org/10.1001/jamanetworkopen.2023.8525 |
| publication_date | 2023-04-17 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W3023344734, https://openalex.org/W3141751743, https://openalex.org/W3021786262, https://openalex.org/W3012692624, https://openalex.org/W3183770009, https://openalex.org/W3042854882, https://openalex.org/W3199836203, https://openalex.org/W3123794651, https://openalex.org/W3049486334, https://openalex.org/W2010927830, https://openalex.org/W2753864921, https://openalex.org/W2140891189, https://openalex.org/W2049161346, https://openalex.org/W3207416024, https://openalex.org/W2035289296, https://openalex.org/W3119049423, https://openalex.org/W3084321872, https://openalex.org/W2087018232, https://openalex.org/W2120608709, https://openalex.org/W2611626137, https://openalex.org/W6607900556, https://openalex.org/W4240787122, https://openalex.org/W2112491630, https://openalex.org/W195566353, https://openalex.org/W2054210848, https://openalex.org/W2496601424, https://openalex.org/W2003401656, https://openalex.org/W4231435006, https://openalex.org/W4241606234, https://openalex.org/W4245099238, https://openalex.org/W3137797702, https://openalex.org/W4211233524, https://openalex.org/W2018031025, https://openalex.org/W4205953967, https://openalex.org/W2102587567, https://openalex.org/W1976915967, https://openalex.org/W2136667645 |
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