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Fitzgerald ME, Van Beek MJ, Swerlick RA, Kaye T, Aninos A, Daveluy S, Etkin CD, Jacobs JP. DataDerm: Improving trends in performance measurement. J Am Acad Dermatol 2024; 90:1002-1005. [PMID: 38135157 DOI: 10.1016/j.jaad.2023.11.059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 11/07/2023] [Accepted: 11/17/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND Medicare's legacy quality reporting programs were consolidated into the Merit-Based Incentive Payment System (MIPS) in 2015. PURPOSE The DataDerm registry of the American Academy of Dermatology was examined to understand the potential for and subsequent rate of improvement across 23 performance measures. METHODS We examined the level of performance across 23 performance measures with at least 20 clinicians reporting on at least 50 patients' experience. We calculated the following values: the aggregate performance rate for each measure and the overall aggregate performance rate. RESULTS The aggregate performance rate for each measure ranged from 20.4% for AAD 1 (Psoriasis: Assessment of Disease Activity), to 99.9% for measure ACMS 1 (Avoidance of Opioid Prescriptions for Reconstruction After Skin Resection). Three of 23 measures had an aggregate performance over 95%. The overall aggregate performance rate across all 23 measures was 81.2%, indicating an aggregate potential for improvement of 18.8% across the 23 measures. Nine performance measures reported across the first five years of DataDerm's existence were tracked through time to understand trends in performance through time. The performance across the nine performance measures meeting the inclusion criteria consistently improved in the initial years (2016 through 2018) of DataDerm participation and showed some variation in 2019 and 2020. CONCLUSIONS These data provide evidence that the very act of participation in a multi-institutional registry and tracking compliance with performance measures can lead to improvements in compliance with the performance measures and therefore improvements in quality of care.
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Affiliation(s)
- Matthew E Fitzgerald
- Department of Science and Quality, American Academy of Dermatology [AAD], Rosemont, Illinois
| | | | | | - Toni Kaye
- Department of Science and Quality, American Academy of Dermatology [AAD], Rosemont, Illinois
| | - Arik Aninos
- Department of Science and Quality, American Academy of Dermatology [AAD], Rosemont, Illinois
| | | | - Caryn D Etkin
- Department of Science and Quality, American Academy of Dermatology [AAD], Rosemont, Illinois
| | - Jeffrey P Jacobs
- Department of Science and Quality, American Academy of Dermatology [AAD], Rosemont, Illinois; Division of Cardiothoracic Surgery, Departments of Surgery and Pediatrics, University of Florida, Gainesville, Florida
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Van Beek M, Swerlick RA, Kaye T, Aninos A, Burns A, Bruno S, Fitzgerald M, Etkin CD, Jacobs JP. The 2022 Annual Report of DataDerm: The database of the American Academy of Dermatology. J Am Acad Dermatol 2024; 90:106-110. [PMID: 37024051 DOI: 10.1016/j.jaad.2023.03.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 02/26/2023] [Accepted: 03/07/2023] [Indexed: 04/08/2023]
Abstract
The American Academy of Dermatology (AAD) launched DataDerm in 2016 as the clinical data registry platform of AAD. DataDerm has evolved to be the largest database containing information about dermatology patients in the world. As of December 31, 2021, DataDerm contained data from 13.2 million unique patients and 47.0 million unique patient visits, with 403 practices representing 1670 clinicians actively participating in DataDerm in 2021. Of the 1670 clinicians participating in DataDerm in 2021, the majority were dermatologists (978) followed by physician assistants (375) and nurse practitioners (163) who are employed by AAD members and meet the AAD definition of the AAD DermCare team. Furthermore, in 2021, 834 clinicians submitted data via DataDerm to the Merit-based Incentive Payment System of the Centers for Medicare & Medicaid Services. This article is the third annual report about the status of DataDerm. This year's 2022 annual report presents the progress DataDerm has made over the past year in conjunction with OM1, the data analytics partner of DataDerm, as well as the current status and future plans of DataDerm.
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Affiliation(s)
- Marta Van Beek
- Department of Dermatology, University of Iowa, Iowa City, Iowa.
| | | | - Toni Kaye
- Department of Science and Quality, American Academy of Dermatology [AAD], Rosemont, Illinois
| | - Arik Aninos
- Department of Science and Quality, American Academy of Dermatology [AAD], Rosemont, Illinois
| | - Alyssa Burns
- Department of Science and Quality, American Academy of Dermatology [AAD], Rosemont, Illinois
| | - Stephanie Bruno
- Department of Science and Quality, American Academy of Dermatology [AAD], Rosemont, Illinois
| | - Matthew Fitzgerald
- Department of Science and Quality, American Academy of Dermatology [AAD], Rosemont, Illinois
| | - Caryn D Etkin
- Department of Science and Quality, American Academy of Dermatology [AAD], Rosemont, Illinois
| | - Jeffrey P Jacobs
- Division of Cardiothoracic Surgery, Departments of Surgery and Pediatrics, University of Florida, Gainesville, Florida
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Cunningham KN, Alsukait S, Learned C, Deverapalli S, Aninos A, Rosmarin D. Demographics of Vitiligo in the DataDerm Database. J Cutan Med Surg 2023; 27:529-530. [PMID: 37522738 DOI: 10.1177/12034754231188327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/01/2023]
Affiliation(s)
| | - Sarah Alsukait
- Department of Dermatology, Tufts Medical Center, Boston, MA, USA
| | | | | | - Arik Aninos
- American Academy of Dermatology, Rosemont, IL, USA
| | - David Rosmarin
- Department of Dermatology, Indiana University School of Medicine, Indianapolis, IN, USA
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Van Beek MJ, Swerlick RA, Mathes B, Reeder MJ, Kaye T, Aninos A, Totaro M, Burns A, Fitzgerald M, Etkin CD, Jacobs JP. 2021 Annual Report of DataDerm™: The Database of The American Academy of Dermatology (AAD). J Am Acad Dermatol 2021; 86:1058-1062. [PMID: 34838686 DOI: 10.1016/j.jaad.2021.11.029] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 11/10/2021] [Accepted: 11/12/2021] [Indexed: 11/18/2022]
Abstract
The American Academy of Dermatology (AAD) launched DataDerm™ in 2016 as the clinical data registry platform of AAD. DataDerm has evolved to be the largest database containing information about dermatology patients in the world. As of December 31, 2020, DataDerm contained data from 11.3 million unique patients and 40.0 million unique patient visits, with 782 practices representing 2,290 clinicians actively participating in DataDerm. This article is the second in a series of annual reports about the status of DataDerm. While last year's 2020 first annual report presented the history of DataDerm as well as the rationale for creation, maintenance, and expansion of DataDerm, this year's 2021 annual report presents the progress DataDerm has made over the past year along with its current status and future plans.
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Affiliation(s)
| | | | | | - Margo J Reeder
- University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Toni Kaye
- American Academy of Dermatology (AAD), Rosemont, Illinois
| | - Arik Aninos
- American Academy of Dermatology (AAD), Rosemont, Illinois
| | - Mason Totaro
- American Academy of Dermatology (AAD), Rosemont, Illinois
| | - Alyssa Burns
- American Academy of Dermatology (AAD), Rosemont, Illinois
| | | | - Caryn D Etkin
- American Academy of Dermatology (AAD), Rosemont, Illinois
| | - Jeffrey P Jacobs
- American Academy of Dermatology (AAD), Rosemont, Illinois; University of Florida, Gainesville, Florida
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VanBeek M, Swerlick RA, Mathes B, Reeder MJ, Kaye T, Aninos A, Fitzgerald ME, Etkin CD, Jacobs JP. The Completeness and Accuracy of DataDerm™: The Database of The American Academy of Dermatology (AAD). J Am Acad Dermatol 2021; 86:394-398. [PMID: 34126095 DOI: 10.1016/j.jaad.2021.06.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 06/08/2021] [Indexed: 10/21/2022]
Abstract
The utility of any database or registry depends on the completeness and accuracy of the data it contains. This report documents the validity of data elements within DataDerm, the clinical registry database of The American Academy of Dermatology (AAD). An external audit of DataDerm, performed by a third-party vendor, involved the manual review of 1,098 individual patient charts from calendar year 2018 from 8 different dermatology practices that utilized 4 different electronic health records (EHRs). At each site, 142 discrete data fields were assessed, comparing the data within DataDerm to the source data within the EHR. Data that were audited included three domains of data elements (diagnoses, medications, procedures), and a performance measure (i.e., "Biopsy Reporting Time - Clinician to Patient"), which is one of several measures used by DataDerm as a Qualified Clinical Data Registry (QCDR). Completeness of data was 95.3% overall, with a range among practices of 90.6% to 98.5%. Accuracy of data was 89.8% overall, with a range of accuracy among practices of 81.2% to 94.1%. These levels of completeness and accuracy exceed rates in the literature for EHR-based registries and provide validation regarding the excellent quality of data in DataDerm.
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Affiliation(s)
| | | | | | - Margo J Reeder
- University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Toni Kaye
- American Academy of Dermatology (AAD), Rosemont, Illinois
| | - Arik Aninos
- American Academy of Dermatology (AAD), Rosemont, Illinois
| | | | - Caryn D Etkin
- American Academy of Dermatology (AAD), Rosemont, Illinois
| | - Jeffrey P Jacobs
- American Academy of Dermatology (AAD), Rosemont, Illinois; University of Florida, Gainesville, Florida
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Van Beek MJ, Swerlick RA, Mathes B, Hruza GJ, Resneck J, Pak HS, Kaye T, Aninos A, Agregado B, Fitzgerald M, Jacobs JP. The 2020 annual report of DataDerm: The database of the American Academy of Dermatology. J Am Acad Dermatol 2020; 84:1037-1041. [PMID: 33316331 DOI: 10.1016/j.jaad.2020.11.068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 11/25/2020] [Accepted: 11/27/2020] [Indexed: 10/22/2022]
Abstract
The American Academy of Dermatology launched DataDerm in 2016 as the clinical data registry platform of the American Academy of Dermatology. DataDerm is approved by the Centers for Medicare & Medicaid Services as a Qualified Clinical Data Registry for the Merit-Based Incentive Payment System. The ultimate purpose of DataDerm is to provide dermatologists with a registry and database that will serve as a vehicle to advance the specialty in the domains of science, discovery, education, quality assessment, quality improvement, advocacy, and practice management. DataDerm is currently the largest clinical registry and database of patients receiving dermatologic care in the world. As of December 31, 2019, DataDerm contained data from 10,618,879 unique patients and 32,309,389 unique patient visits. Depending on the reporting period, 800 to 900 practices (representing 2400-2600 clinicians) actively participate in DataDerm by submitting data. This article provides the first of a planned series of annual updates of the status of DataDerm. The purpose of this article is to present the rationale for the creation, maintenance, history, and current status of DataDerm, as well as the future plans for DataDerm.
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Affiliation(s)
| | | | | | - George J Hruza
- St. Louis University and Laser and Dermatologic Surgery Center, St. Louis, Missouri
| | - Jack Resneck
- University of California San Francisco, San Francisco, California
| | - Hon S Pak
- Samsung Electronics America, St. Paul, Minnesota
| | - Toni Kaye
- American Academy of Dermatology, Rosemont, Illinois
| | - Arik Aninos
- American Academy of Dermatology, Rosemont, Illinois
| | | | | | - Jeffrey P Jacobs
- American Academy of Dermatology, Rosemont, Illinois; University of Florida, Gainesville, Florida
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