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  1. Book: Technology and big data in rheumatology

    Curtis, Jeffrey R.

    (Rheumatic disease clinics of North America ; volume 45, number 2 (May 2019))

    2019  

    Author's details editors Jeffrey R. Curtis
    Series title Rheumatic disease clinics of North America ; volume 45, number 2 (May 2019)
    Collection
    Language English
    Size xvi Seiten, Seite 159-314, Illustrationen, Diagramme
    Publisher Elsevier
    Publishing place Philadelphia, Pennsylvania
    Publishing country United States
    Document type Book
    HBZ-ID HT020067627
    ISBN 978-0-323-67862-9 ; 0-323-67862-9
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    Se 363 -45,2- verfügbar in Königswinter Königswinter

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  2. Article ; Online: The Art of Communicating Risk and Benefit to Promote Shared Decision-Making, Informed by Behavioral Economic Principles.

    Curtis, Jeffrey R / Fraenkel, Liana

    Arthritis & rheumatology (Hoboken, N.J.)

    2024  Volume 76, Issue 4, Page(s) 493–496

    MeSH term(s) Humans ; Economics, Behavioral ; Decision Making, Shared ; Patient Participation ; Decision Making
    Language English
    Publishing date 2024-01-03
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2756371-6
    ISSN 2326-5205 ; 2326-5191
    ISSN (online) 2326-5205
    ISSN 2326-5191
    DOI 10.1002/art.42742
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Remote Therapeutic Monitoring in Rheumatic and Musculoskeletal Diseases: Opportunities and Implementation.

    Nowell, W Benjamin / Curtis, Jeffrey R

    Medical research archives

    2024  Volume 11, Issue 7.2

    Abstract: Therapeutic Monitoring (RTM) is a new program in the United States that began in 2022 allowing electronic patient-reported outcomes (ePRO) and other patient-generated data to be reviewed by clinical staff between visits so that patients can receive ... ...

    Abstract Therapeutic Monitoring (RTM) is a new program in the United States that began in 2022 allowing electronic patient-reported outcomes (ePRO) and other patient-generated data to be reviewed by clinical staff between visits so that patients can receive clinical attention as needed. Remote Therapeutic Monitoring simultaneously enhances the capacity to generate prospective longitudinal data that may be useful for secondary research purposes. As many governmental and private insurance programs in the United States now provide reimbursement for Remote Therapeutic Monitoring, increasing numbers of rheumatologists may be incentivized to provide this service for their patient populations. Launched in 2015, the ArthritisPower
    Language English
    Publishing date 2024-03-01
    Publishing country United States
    Document type Journal Article
    ISSN 2375-1916
    ISSN 2375-1916
    DOI 10.18103/mra.v11i7.2.3957
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Reply.

    Yun, Huifeng / Curtis, Jeffrey R / George, Michael D / Greenberg, Jeffrey / Harrold, Leslie R

    Arthritis care & research

    2023  Volume 75, Issue 10, Page(s) 2223–2224

    Language English
    Publishing date 2023-04-19
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 645059-3
    ISSN 2151-4658 ; 0893-7524 ; 2151-464X
    ISSN (online) 2151-4658
    ISSN 0893-7524 ; 2151-464X
    DOI 10.1002/acr.25075
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  5. Article ; Online: Uptake of Remote Physiologic Monitoring in the US Medicare Program: A Serial Cross-sectional Analysis.

    Curtis, Jeffrey R / Willig, James

    JMIR mHealth and uHealth

    2023  Volume 11, Page(s) e46046

    MeSH term(s) Aged ; Humans ; United States ; Medicare ; Cross-Sectional Studies ; Monitoring, Physiologic ; Telemedicine
    Language English
    Publishing date 2023-05-01
    Publishing country Canada
    Document type Research Support, N.I.H., Extramural ; Letter
    ZDB-ID 2719220-9
    ISSN 2291-5222 ; 2291-5222
    ISSN (online) 2291-5222
    ISSN 2291-5222
    DOI 10.2196/46046
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  6. Article ; Online: Prevalence and Factors Associated With Patient-Clinician Discordance Among Patients With Rheumatoid Arthritis Initiating Advanced Therapy.

    Curtis, Jeffrey R / McLean, Robert R / Lee, I-Heng / Mackey, Rachel H / Moore, Page C / Haubrich, Richard / Greenberg, Jeffrey D / Wu, Alicea

    ACR open rheumatology

    2024  

    Abstract: Objective: To describe and identify associated factors for patient-clinician discordance of disease assessment at biologic or Janus kinase inhibitor (JAKi) initiation and over 12 months following initiation in patients with rheumatoid arthritis (RA) ... ...

    Abstract Objective: To describe and identify associated factors for patient-clinician discordance of disease assessment at biologic or Janus kinase inhibitor (JAKi) initiation and over 12 months following initiation in patients with rheumatoid arthritis (RA) from a US RA registry.
    Methods: Analyses included CorEvitas RA Registry patients who initiated their first biologic or JAKi on or after February 1, 2015, and had 6- and 12-month follow-up visits. Positive discordance was defined as patient global assessment (visual analog scale [VAS-100]) minus physician's global assessment (VAS-100) equal to 30 points or more. Persistent discordance was defined as positive discordance at all three visits. Mixed-effects logistic regression was used to determine risk factors for positive discordance at initiation and for persistent discordance.
    Results: Among 2227 first-time biologic/JAKi-initiating patients, 613 had both follow-up visits available and were included in initiation visit analyses, and of these, 163 had positive discordance at initiation and were included in persistent discordance analyses. About 30% of all patients had positive discordance at any visit, and one third of these (10% total) were persistent at all three visits. Multivariable analyses revealed that worse scores on the Clinical Disease Activity Index, greater patient-reported pain and fatigue, and greater functional impairment were associated with positive discordance at the time of therapy initiation. Being disabled versus working full-time and being female were associated with higher odds and having Medicare versus no insurance was associated with lower odds of having persistent positive discordance.
    Conclusion: Results suggest positive discordance is common among real-world patients with RA initiating their first biologic or JAKi. The identified risk factors associated with patient-clinician discordance will help clinicians foster a more patient-centric discussion in treatment decisions.
    Language English
    Publishing date 2024-03-01
    Publishing country United States
    Document type Journal Article
    ISSN 2578-5745
    ISSN (online) 2578-5745
    DOI 10.1002/acr2.11587
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  7. Article ; Online: The promise and perils of 'Big Data': focus on spondyloarthritis.

    Curtis, Jeffrey R

    Current opinion in rheumatology

    2019  Volume 31, Issue 4, Page(s) 355–361

    Abstract: Purpose of review: This review will describe the available large-scale data sources to study spondyloarthritis (SpA), enumerate approaches to identify SpA and its disease-related manifestations and outcomes, and will outline existing and future methods ... ...

    Abstract Purpose of review: This review will describe the available large-scale data sources to study spondyloarthritis (SpA), enumerate approaches to identify SpA and its disease-related manifestations and outcomes, and will outline existing and future methods to collect novel data types [e.g. patient-reported outcomes (PRO), passive data from wearables and biosensors].
    Recent findings: In addition to traditional clinic visit-based SpA registries, newer data sources, such as health plan claims data, single and multispecialty electronic health record (EHR) based registries, patient registries and linkages between data sources, have catalyzed the breadth and depth of SpA research. Health activity tracker devices and PRO collected via PROMIS instruments have been shown to have good validity when assessed in SpA patients as compared to legacy disease-specific instruments. In certain cases, machine learning outperforms traditional methods to identify SpA and its associated manifestations in EHR and claims data, and may predict disease flare.
    Summary: Although caution remains in the application of newer data sources and methods including the important need for replication, the availability of new data sources, health tracker devices and analytic methods holds great promise to catalyze SpA research.
    MeSH term(s) Electronic Health Records/statistics & numerical data ; Global Health ; Humans ; Morbidity/trends ; Patient Reported Outcome Measures ; Registries ; Spondylarthritis/epidemiology
    Language English
    Publishing date 2019-05-22
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 1045317-9
    ISSN 1531-6963 ; 1040-8711
    ISSN (online) 1531-6963
    ISSN 1040-8711
    DOI 10.1097/BOR.000000000000061
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  8. Article: Response to Treatment with Intravenous Golimumab or Infliximab in Rheumatoid Arthritis Patients: PROMIS Results from the Real-World Observational Phase 4 AWARE Study.

    Bingham, Clifton O / Black, Shawn / Shiff, Natalie J / Xu, Stephen / Langholff, Wayne / Curtis, Jeffrey R

    Rheumatology and therapy

    2023  Volume 10, Issue 3, Page(s) 659–678

    Language English
    Publishing date 2023-02-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 2783278-8
    ISSN 2198-6584 ; 2198-6576
    ISSN (online) 2198-6584
    ISSN 2198-6576
    DOI 10.1007/s40744-023-00533-5
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  9. Article ; Online: Using Electronic Health Records and Linked Claims Data to Assess New Medication Use and Primary Nonadherence in Rheumatology Patients.

    Beukelman, Timothy / Su, Yujie / Xie, Fenglong / George, Michael D / England, Bryant R / Curtis, Christian / Clinton, Cassie / Stewart, Patrick / Curtis, Jeffrey R

    Arthritis care & research

    2024  Volume 76, Issue 4, Page(s) 550–558

    Abstract: Objective: The objective of this study was to determine the proportion of new medication prescriptions observed in electronic health records (EHR) that represent true incident medication use, accounting for undocumented previous prescriptions (prevalent ...

    Abstract Objective: The objective of this study was to determine the proportion of new medication prescriptions observed in electronic health records (EHR) that represent true incident medication use, accounting for undocumented previous prescriptions (prevalent medication use) and failure to initiate treatment (primary nonadherence) with linked administrative claims data as the reference standard.
    Methods: Using single-specialty rheumatology EHR data from more than 700 community practices in the United States linked to administrative claims data, we identified first (index) EHR prescriptions and assessed the positive predictive value (PPV) of different EHR-derived new user definitions to identify true incident use (no prior claims). We then assessed how often index EHR prescriptions that met a definition of new use resulted in primary nonadherence (no subsequent claims).
    Results: Overall, 12,405 index EHR prescriptions were identified with PPVs of 0.59 to 0.67 for true incident use. PPVs increased to 0.76 to 0.85 by excluding medications listed during the EHR medication reconciliation process and further increased to 0.87 to 0.93 by requiring ≥12 elapsed months since the first rheumatology office visit. Primary nonadherence at three months was observed in 33% to 38% overall and varied substantially by medication class, ranging from 15% to 23% for conventional synthetic disease-modifying antirheumatic drugs (DMARDs) to 54% to 64% for targeted synthetic DMARDs.
    Conclusion: New DMARD use was accurately distinguished from prevalent use with EHR prescriptions and simple new user definitions that include current medications collected during medication reconciliation. Primary nonadherence was frequent and varied by DMARD class. This has important implications for epidemiologic studies using EHR data and for optimal delivery of clinical care.
    MeSH term(s) Humans ; United States ; Retrospective Studies ; Electronic Health Records ; Rheumatology ; Drug Prescriptions ; Antirheumatic Agents/therapeutic use ; Medication Adherence
    Chemical Substances Antirheumatic Agents
    Language English
    Publishing date 2024-01-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 645059-3
    ISSN 2151-4658 ; 0893-7524 ; 2151-464X
    ISSN (online) 2151-4658
    ISSN 0893-7524 ; 2151-464X
    DOI 10.1002/acr.25269
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  10. Article ; Online: Dr Singer et al reply.

    Singer, David / Thompson-Leduc, Philippe / Poston, Sara / Gupta, Deepshekhar / Cheng, Wendy Y / Ma, Siyu / Devine, Francesca / Duh, Mei S / Curtis, Jeffrey R

    The Journal of rheumatology

    2024  Volume 51, Issue 3, Page(s) 324–326

    Language English
    Publishing date 2024-03-01
    Publishing country Canada
    Document type Letter
    ZDB-ID 194928-7
    ISSN 1499-2752 ; 0315-162X
    ISSN (online) 1499-2752
    ISSN 0315-162X
    DOI 10.3899/jrheum.2023-0803
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