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Stamp LK, Dalbeth N. Moving urate-lowering therapy in gout beyond guideline recommendations. Semin Arthritis Rheum 2024; 65:152358. [PMID: 38219395 DOI: 10.1016/j.semarthrit.2023.152358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 12/05/2023] [Accepted: 12/18/2023] [Indexed: 01/16/2024]
Abstract
The 'treat-to target serum urate strategy' when using urate-lowering therapy has been recommended by most specialist rheumatology societies for many years. An alternative "treat-to-avoid-symptoms" in gout has been suggested, albeit without a clear definition of what this means and how it might be implemented in clinical trials or clinical practice. This has hampered efforts to design clinical trials that compare the "treat-to-target [urate]" and "treat-to-avoid-symptoms" strategies in the long-term management of gout. In this review we consider the rationale for the treat-to-target urate strategy when using urate-lowering therapy, potential definitions of a "treat-to-avoid-symptoms" strategy, or perhaps what is not "treat-to-avoid-symptoms", and approaches that might address this uncertainty.
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Affiliation(s)
- Lisa K Stamp
- Department of Medicine, University of Otago, Christchurch, Christchurch, New Zealand.
| | - Nicola Dalbeth
- Faculty of Medicine, University of Auckland, Auckland, New Zealand
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Ferguson MC, McNicol E, Kleykamp BA, Sandoval K, Haroutounian S, Holzer KJ, Kerns RD, Veasley C, Turk DC, Dworkin RH. Perspectives on Participation in Clinical Trials Among Individuals With Pain, Depression, and/or Anxiety: An ACTTION Scoping Review. THE JOURNAL OF PAIN 2023; 24:24-37. [PMID: 36152760 DOI: 10.1016/j.jpain.2022.09.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 08/10/2022] [Accepted: 09/04/2022] [Indexed: 02/08/2023]
Abstract
For individuals experiencing pain, the decision to engage in clinical trials may be influenced by a number of factors including current and past care, illness severity, physical functioning, financial stress, and caregiver support. Co-occurring depression and anxiety may add to these challenges. The aim of this scoping review was to describe perspectives about clinical trial participation, including recruitment and retention among individuals with pain and pain comorbidities, including depression and/or anxiety. We searched PubMed, CINAHL, PsycINFO, and Cochrane CENTRAL databases. Study features, sample demographics, perspectives, barriers and/or motivations were collected and described. A total of 35 assessments were included in this scoping review with 24 focused on individuals with pain (24/35, 68.6%), 9 on individuals with depression and/or anxiety (9/35, 25.7%), and 2 on individuals with pain and co-occurring depression/anxiety (2/35, 5.7%). Barriers among participants with pain and those with depression included: research team's communication of information, fear of interventional risks, distrust (only among respondents with pain), too many procedures, fear of inadequate treatment, disease-life stressors, and embarrassment with study procedures (more commonly reported in participants with depression). Facilitators in both groups included: altruism and supportive staff, better access to care, and the ability to have outcome feedback (more commonly among individuals with depression). Individuals with pain and depression experience challenges that affect trial recruitment and retention. Engaging individuals with pain within research planning may assist in addressing these barriers and the needs of individuals affected by pain and/or depression. PERSPECTIVE: This review highlights the need to address barriers and facilitators to participation in clinical trials, including the need for an assessment of perspectives from underserved or marginalized populations.
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Affiliation(s)
- McKenzie C Ferguson
- School of Pharmacy, Southern Illinois University Edwardsville, Edwardsville, Illinois.
| | - Ewan McNicol
- School of Pharmacy, MCPHS University, Boston, Massachusetts
| | - Bethea A Kleykamp
- Department of Anesthesiology and Perioperative Medicine, University of Rochester Medical Center, Rochester, New York
| | - Karin Sandoval
- School of Pharmacy, Southern Illinois University Edwardsville, Edwardsville, Illinois
| | - Simon Haroutounian
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri
| | - Katherine J Holzer
- Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri
| | - Robert D Kerns
- Departments of Psychiatry, Neurology and Psychology, Yale University, New Haven, Connecticut
| | - Christin Veasley
- Co-founder and Director, Chronic Pain Research Alliance, North Kingstown, Rhode Island
| | - Dennis C Turk
- University of Washington School of Medicine, Seattle, Washington
| | - Robert H Dworkin
- Department of Anesthesiology and Perioperative Medicine, University of Rochester Medical Center, Rochester, New York
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Dalbeth N, Stamp LK, Taylor WJ. What is remission in gout and how should we measure it? Rheumatology (Oxford) 2021; 60:1007-1009. [PMID: 33320205 DOI: 10.1093/rheumatology/keaa853] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 11/23/2020] [Indexed: 01/24/2023] Open
Affiliation(s)
- Nicola Dalbeth
- Department of Medicine, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - Lisa K Stamp
- Department of Medicine, University of Otago Christchurch, Christchurch, New Zealand
| | - William J Taylor
- Department of Medicine, University of Otago Wellington, Wellington South, New Zealand
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Taylor W, Dalbeth N, Saag KG, Singh JA, Rahn EJ, Mudano AS, Chen YH, Lin CT, Tan P, Louthreno W, Vazquez-Mellado J, Hernández-Llinas H, Neogi T, Vargas-Santos AB, Castelar-Pinheiro G, Chaves-Amorim RB, Uhlig T, Hammer HB, Eliseev M, Perez-Ruiz F, Cavagna L, McCarthy GM, Stamp LK, Gerritsen M, Fana V, Sivera F, Gaffo AL. Flare Rate Thresholds for Patient Assessment of Disease Activity States in Gout. J Rheumatol 2021; 48:293-298. [PMID: 32358154 PMCID: PMC11514052 DOI: 10.3899/jrheum.191242] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/21/2020] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To determine the relationship between gout flare rate and self-categorization into remission, low disease activity (LDA), and patient acceptable symptom state (PASS). METHODS Patients with gout self-categorized as remission, LDA, and PASS, and reported number of flares over the preceding 6 and 12 months. Multinomial logistic regression was used to determine the association between being in each disease state (LDA and PASS were combined) and flare count, and self-reported current flare. A distribution-based approach and extended Youden index identified possible flare count thresholds for each state. RESULTS Investigators from 17 countries recruited 512 participants. Remission was associated with a median recalled flare count of zero over both 6 and 12 months. Each recalled flare reduced the likelihood of self-perceived remission compared with being in higher disease activity than LDA/PASS, by 52% for 6 months and 23% for 12 months, and the likelihood of self-perceived LDA/PASS by 15% and 5% for 6 and 12 months, respectively. A threshold of 0 flares in preceding 6 and 12 months was associated with correct classification of self-perceived remission in 58% and 56% of cases, respectively. CONCLUSION Flares are significantly associated with perceptions of disease activity in gout, and no flares over the prior 6 or 12 months is necessary for most people to self-categorize as being in remission. However, recalled flare counts alone do not correctly classify all patients into self-categorized disease activity states, suggesting that other factors may also contribute to self-perceived gout disease activity.
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Affiliation(s)
- William Taylor
- W. Taylor, MBChB, PhD, FRACP, FAFRM, University of Otago, Wellington, New Zealand
| | - Nicola Dalbeth
- N. Dalbeth, MBChB, MD, FRACP, P. Tan, University of Auckland, Auckland, New Zealand
| | - Kenneth G Saag
- K.G. Saag, MD, MSc, E.J. Rahn, PhD, A.S. Mudano, MPH, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Jasvinder A Singh
- J.A. Singh, MD, MPH, A.L. Gaffo, MD, MSPH, University of Alabama at Birmingham, and Birmingham VA Medical Center, Birmingham, Alabama, USA
| | - Elizabeth J Rahn
- K.G. Saag, MD, MSc, E.J. Rahn, PhD, A.S. Mudano, MPH, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Amy S Mudano
- K.G. Saag, MD, MSc, E.J. Rahn, PhD, A.S. Mudano, MPH, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Yi-Hsing Chen
- Y.H. Chen, MD, PhD, C.T. Lin, MD, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Ching-Tsai Lin
- Y.H. Chen, MD, PhD, C.T. Lin, MD, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Paul Tan
- N. Dalbeth, MBChB, MD, FRACP, P. Tan, University of Auckland, Auckland, New Zealand
| | | | - Janitzia Vazquez-Mellado
- J. Vazquez-Mellado, MD, PhD, H. Hernández-Llinas, MD, Hospital General de Mexico, Mexico City, Mexico
| | - Hansel Hernández-Llinas
- J. Vazquez-Mellado, MD, PhD, H. Hernández-Llinas, MD, Hospital General de Mexico, Mexico City, Mexico
| | - Tuhina Neogi
- T. Neogi, MD, PhD, FRCPC, A.B. Vargas-Santos, MD, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Ana B Vargas-Santos
- T. Neogi, MD, PhD, FRCPC, A.B. Vargas-Santos, MD, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Geraldo Castelar-Pinheiro
- G. Castelar-Pinheiro, MD, PhD, R.B. Chaves-Amorim, MD, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Rodrigo B Chaves-Amorim
- G. Castelar-Pinheiro, MD, PhD, R.B. Chaves-Amorim, MD, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Tillman Uhlig
- T. Uhlig, MD, H.B. Hammer, MD, PhD, Diakonhjemmet Hospital, Oslo, Norway
| | - Hilde B Hammer
- T. Uhlig, MD, H.B. Hammer, MD, PhD, Diakonhjemmet Hospital, Oslo, Norway
| | - Maxim Eliseev
- M. Eliseev, PhD, V.A. Nasonova Research Institute of Rheumatology, Moscow, Russia
| | | | - Lorenzo Cavagna
- L. Cavagna, MD, University and IRCCS Policlinico S. Matteo Foundation, Pavia, Italy
| | - Geraldine M McCarthy
- G.M. McCarthy, MD, FRCPI, Mater Misericordiae University Hospital, Dublin, Ireland
| | - Lisa K Stamp
- L.K. Stamp, MBChB, FRACP, PhD, University of Otago-Christchurch, Christchurch, New Zealand
| | | | - Viktoria Fana
- V. Fana, MD, Copenhagen Center for Artritis Reserch, Righospitalet Glostrup, Denmark
| | - Francisca Sivera
- F. Sivera, MD, PhD, Hospital General Universitario Elda, Elda, Spain
| | - Angelo L Gaffo
- J.A. Singh, MD, MPH, A.L. Gaffo, MD, MSPH, University of Alabama at Birmingham, and Birmingham VA Medical Center, Birmingham, Alabama, USA;
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Singh JA, Neogi T, FitzGerald JD. Patient Perspectives on Gout and Gout Treatments: A Patient Panel Discussion That Informed the 2020 American College of Rheumatology Treatment Guideline. ACR Open Rheumatol 2020; 2:725-733. [PMID: 33222416 PMCID: PMC7738800 DOI: 10.1002/acr2.11199] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 10/20/2020] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVE The objective of this study was to understand patient perspectives to inform the voting process for the 2020 American College of Rheumatology (ACR) gout treatment guideline. METHODS We conducted a panel meeting of eight patients with gout in Birmingham, Alabama. Patients were referred to the project by private and academic rheumatologists in the Birmingham area. All participants received orientation related to the guideline development process and evidence rating at the beginning of the meeting. With the help of a physician moderator, the patient panel reviewed nine key clinical scenarios and the supporting evidence and discussed their views and perspectives related to each. They also provided their preference for one of the two treatment options for each clinical scenario. RESULTS The patient panel included eight men with gout. Of these eight participants, seven received their gout care from a rheumatologist and one from a primary care physician. Patients favored more active urate-lowering therapy (ULT) management and interventional management of gout flares to achieve desired clinical outcomes, resulting in unanimous consensus on choices related to six clinical scenarios: ULT initiation in gout, treat-to-target management strategy, use of pegloticase for refractory gout, starting ULT during a gout flare, using injectable treatments (over oral) for acute gout flares, and use of febuxostat in people with cardiovascular disease. CONCLUSION Knowledge of patient preferences and values is valuable and was influential for the development of the 2020 ACR gout treatment guideline.
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Affiliation(s)
- Jasvinder A. Singh
- Birmingham Department of Veterans Affairs Medical Center and The University of Alabama at Birmingham
| | - Tuhina Neogi
- Boston University School of MedicineBostonMassachusetts
| | - John D. FitzGerald
- University of CaliforniaLos Angeles and Department of Veterans Affairs Greater Los Angeles Healthcare System
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FitzGerald JD, Dalbeth N, Mikuls T, Brignardello-Petersen R, Guyatt G, Abeles AM, Gelber AC, Harrold LR, Khanna D, King C, Levy G, Libbey C, Mount D, Pillinger MH, Rosenthal A, Singh JA, Sims JE, Smith BJ, Wenger NS, Sharon Bae S, Danve A, Khanna PP, Kim SC, Lenert A, Poon S, Qasim A, Sehra ST, Sharma TSK, Toprover M, Turgunbaev M, Zeng L, Zhang MA, Turner AS, Neogi T. 2020 American College of Rheumatology Guideline for the Management of Gout. Arthritis Care Res (Hoboken) 2020; 72:744-760. [PMID: 32391934 PMCID: PMC10563586 DOI: 10.1002/acr.24180] [Citation(s) in RCA: 384] [Impact Index Per Article: 96.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 02/28/2020] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To provide guidance for the management of gout, including indications for and optimal use of urate-lowering therapy (ULT), treatment of gout flares, and lifestyle and other medication recommendations. METHODS Fifty-seven population, intervention, comparator, and outcomes questions were developed, followed by a systematic literature review, including network meta-analyses with ratings of the available evidence according to the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology, and patient input. A group consensus process was used to compose the final recommendations and grade their strength as strong or conditional. RESULTS Forty-two recommendations (including 16 strong recommendations) were generated. Strong recommendations included initiation of ULT for all patients with tophaceous gout, radiographic damage due to gout, or frequent gout flares; allopurinol as the preferred first-line ULT, including for those with moderate-to-severe chronic kidney disease (CKD; stage >3); using a low starting dose of allopurinol (≤100 mg/day, and lower in CKD) or febuxostat (<40 mg/day); and a treat-to-target management strategy with ULT dose titration guided by serial serum urate (SU) measurements, with an SU target of <6 mg/dl. When initiating ULT, concomitant antiinflammatory prophylaxis therapy for a duration of at least 3-6 months was strongly recommended. For management of gout flares, colchicine, nonsteroidal antiinflammatory drugs, or glucocorticoids (oral, intraarticular, or intramuscular) were strongly recommended. CONCLUSION Using GRADE methodology and informed by a consensus process based on evidence from the current literature and patient preferences, this guideline provides direction for clinicians and patients making decisions on the management of gout.
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Affiliation(s)
- John D. FitzGerald
- University of California, Los Angeles and VA Greater Los Angeles Health Care System, Los Angeles, California
| | | | - Ted Mikuls
- University of Nebraska Medical Center and VA Nebraska–Western Iowa Health Care System, Omaha, Nebraska
| | | | | | | | | | - Leslie R. Harrold
- University of Massachusetts Medical School, Worcester Massachusetts, and Corrona, Waltham, Massachusetts
| | | | | | | | - Caryn Libbey
- Boston University School of Medicine, Boston, Massachusetts
| | - David Mount
- VA Boston Healthcare System, Boston, Massachusetts
| | | | | | - Jasvinder A. Singh
- University of Alabama at Birmingham and Birmingham Veterans Affairs Medical Center, Birmingham, Alabama
| | | | - Benjamin J. Smith
- Florida State University College of Medicine School of Physician Assistant Practice, Tallahassee
| | | | | | | | - Puja P. Khanna
- University of Michigan, VA Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Seoyoung C. Kim
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Samuel Poon
- US Department of Veterans Affairs, Manchester, New Hampshire
| | - Anila Qasim
- McMaster University, Hamilton, Ontario, Canada
| | | | | | | | | | - Linan Zeng
- McMaster University, Hamilton, Ontario, Canada
| | - Mary Ann Zhang
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Tuhina Neogi
- Boston University School of Medicine, Boston, Massachusetts
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7
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FitzGerald JD, Dalbeth N, Mikuls T, Brignardello-Petersen R, Guyatt G, Abeles AM, Gelber AC, Harrold LR, Khanna D, King C, Levy G, Libbey C, Mount D, Pillinger MH, Rosenthal A, Singh JA, Sims JE, Smith BJ, Wenger NS, Bae SS, Danve A, Khanna PP, Kim SC, Lenert A, Poon S, Qasim A, Sehra ST, Sharma TSK, Toprover M, Turgunbaev M, Zeng L, Zhang MA, Turner AS, Neogi T. 2020 American College of Rheumatology Guideline for the Management of Gout. Arthritis Rheumatol 2020; 72:879-895. [PMID: 32390306 DOI: 10.1002/art.41247] [Citation(s) in RCA: 193] [Impact Index Per Article: 48.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 02/28/2020] [Indexed: 12/17/2022]
Abstract
OBJECTIVE To provide guidance for the management of gout, including indications for and optimal use of urate-lowering therapy (ULT), treatment of gout flares, and lifestyle and other medication recommendations. METHODS Fifty-seven population, intervention, comparator, and outcomes questions were developed, followed by a systematic literature review, including network meta-analyses with ratings of the available evidence according to the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology, and patient input. A group consensus process was used to compose the final recommendations and grade their strength as strong or conditional. RESULTS Forty-two recommendations (including 16 strong recommendations) were generated. Strong recommendations included initiation of ULT for all patients with tophaceous gout, radiographic damage due to gout, or frequent gout flares; allopurinol as the preferred first-line ULT, including for those with moderate-to-severe chronic kidney disease (CKD; stage >3); using a low starting dose of allopurinol (≤100 mg/day, and lower in CKD) or febuxostat (<40 mg/day); and a treat-to-target management strategy with ULT dose titration guided by serial serum urate (SU) measurements, with an SU target of <6 mg/dl. When initiating ULT, concomitant antiinflammatory prophylaxis therapy for a duration of at least 3-6 months was strongly recommended. For management of gout flares, colchicine, nonsteroidal antiinflammatory drugs, or glucocorticoids (oral, intraarticular, or intramuscular) were strongly recommended. CONCLUSION Using GRADE methodology and informed by a consensus process based on evidence from the current literature and patient preferences, this guideline provides direction for clinicians and patients making decisions on the management of gout.
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Affiliation(s)
- John D FitzGerald
- University of California, Los Angeles and VA Greater Los Angeles Health Care System, Los Angeles, California
| | | | - Ted Mikuls
- University of Nebraska Medical Center and VA Nebraska-Western Iowa Health Care System, Omaha, Nebraska
| | | | | | - Aryeh M Abeles
- New York University School of Medicine, New York City, New York
| | | | - Leslie R Harrold
- University of Massachusetts Medical School, Worcester Massachusetts, and Corrona, Waltham, Massachusetts
| | | | | | | | - Caryn Libbey
- Boston University School of Medicine, Boston, Massachusetts
| | - David Mount
- VA Boston Healthcare System, Boston, Massachusetts
| | | | | | - Jasvinder A Singh
- University of Alabama at Birmingham and Birmingham Veterans Affairs Medical Center, Birmingham
| | | | - Benjamin J Smith
- Florida State University College of Medicine School of Physician Assistant Practice, Tallahassee
| | | | | | | | - Puja P Khanna
- University of Michigan, VA Ann Arbor Healthcare System, Ann Arbor
| | - Seoyoung C Kim
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Samuel Poon
- US Department of Veterans Affairs, Manchester, New Hampshire
| | - Anila Qasim
- McMaster University, Hamilton, Ontario, Canada
| | | | | | | | | | - Linan Zeng
- McMaster University, Hamilton, Ontario, Canada
| | - Mary Ann Zhang
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Amy S Turner
- American College of Rheumatology, Atlanta, Georgia
| | - Tuhina Neogi
- Boston University School of Medicine, Boston, Massachusetts
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Ribeiro T, Abad A, Feldman BM. Developing a new scoring scheme for the Hemophilia Joint Health Score 2.1. Res Pract Thromb Haemost 2019; 3:405-411. [PMID: 31294328 PMCID: PMC6611477 DOI: 10.1002/rth2.12212] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Accepted: 04/15/2019] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND The Hemophilia Joint Health Score (HJHS) is a validated outcome tool developed for the assessment of joint health in people with hemophilia. The ordinal joint score assesses 9 items in 6 index joints. It is recognized as an optimal measurement of arthropathy in children and young adults. The aim of this study was to develop an updated scoring system for the HJHS that may overcome the limitations of its current ordinal scoring structure. METHODS A survey was developed using 1000Minds decision-making software. Respondents were provided with discrete choice tasks of ranking alternatives to determine the preference weight, or relative importance, placed on different criteria for each HJHS item. The survey was distributed to an anonymous sample of health care professionals with extensive experience in the physical examination of joints in people with hemophilia. RESULTS A total of 64 musculoskeletal health care professionals participated; with a 64% survey completion rate. The HJHS item weights provide a sum to 1.0; the highest-ranked item was extension loss (0.139) followed by swelling (0.121), whereas the lowest was duration of swelling (0.057) followed by muscle atrophy (0.08). Compared to the original, the relative efficiency of the new score was 5.4. CONCLUSIONS Observed differences in preference weights for HJHS items highlight the potential under- or overestimation of true joint health using the current ordinal scoring system. An updated scoring system using weighted items may improve the precision of HJHS assessment, leading to improved clinical management of joint health, while providing a robust research tool.
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Affiliation(s)
- Tiago Ribeiro
- Schulich School of Medicine & DentistryWestern UniversityLondonOntarioCanada
| | - Audrey Abad
- Child Health Evaluative Sciences Program, Research InsitituteThe Hospital for Sick ChildrenTorontoOntarioCanada
| | - Brian M. Feldman
- Child Health Evaluative Sciences Program, Research InsitituteThe Hospital for Sick ChildrenTorontoOntarioCanada
- Department of PediatricsFaculty of Medicine and the Institute of Health Policy Management & EvaluationDalla Lana School of Public HealthUniversity of TorontoTorontoOntarioCanada
- Division of RheumatologyThe Hospital for Sick ChildrenTorontoOntarioCanada
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9
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Dalbeth N, Frampton C, Fung M, Baumgartner S, Nicolaou S, Choi HK. Concurrent validity of provisional remission criteria for gout: a dual-energy CT study. Arthritis Res Ther 2019; 21:150. [PMID: 31227018 PMCID: PMC6588898 DOI: 10.1186/s13075-019-1941-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 06/11/2019] [Indexed: 11/21/2022] Open
Abstract
Background Provisional gout remission criteria including five domains (serum urate, tophus, flares, pain due to gout, and patient global assessment) have been proposed. The aim of this study was to test the concurrent validity of the provisional gout remission criteria by comparing the criteria with dual-energy CT (DECT) findings. Methods Patients with gout on allopurinol ≥ 300 mg daily were prospectively recruited into a multicenter DECT study. Participants attended a standardized study visit which recorded gout flare frequency in the preceding 12 months, physical examination for tophus, serum urate, and patient questionnaires. DECT scans of both hands/wrists, feet/ankles/Achilles, and knees were analyzed by two DECT radiologists. The relationship between the DECT urate crystal volume and deposition with individual domains as well as the provisional remission criteria set was analyzed. Results The provisional remission criteria were fulfilled in 23 (15.1%) participants. DECT urate crystal deposition was observed less frequently in those fulfilling the provisional remission criteria (44%), compared with those not fulfilling the criteria (73.6%, odds ratio 0.28, P = 0.004). The median (range) DECT urate crystal volume was 0.00 (0.00–0.46) cm3 for those fulfilling the remission criteria, compared with 0.08 (0.00–19.53) cm3 for those not fulfilling the criteria (P = 0.002). In multivariate regression analysis, the serum urate and tophus domains were most strongly associated with DECT urate crystal deposition. Conclusions In people with gout established on allopurinol, a state of remission as defined by the provisional remission criteria is associated with less DECT urate crystal deposition. While this study provides support for the validity of the provisional gout remission criteria, it also demonstrates that some crystal deposition may be present in people achieving these criteria. Electronic supplementary material The online version of this article (10.1186/s13075-019-1941-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Nicola Dalbeth
- Bone and Joint Research Group, Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, 85 Park Rd, Grafton, Auckland, 1023, New Zealand.
| | | | - Maple Fung
- Formerly Ardea Biosciences, Inc., San Diego, CA, USA
| | | | - Savvas Nicolaou
- Vancouver General Hospital and University of British Columbia, Vancouver, BC, Canada
| | - Hyon K Choi
- Harvard Medical School and Massachusetts General Hospital, Boston, MA, USA
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10
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Schlesinger N, Edwards NL, Khanna PP, Yeo AE, Lipsky PE. Evaluation of Proposed Criteria for Remission and Evidence-Based Development of Criteria for Complete Response in Patients With Chronic Refractory Gout. ACR Open Rheumatol 2019; 1:236-243. [PMID: 31777799 PMCID: PMC6857961 DOI: 10.1002/acr2.1025] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Objective The objective of this study is to assess criteria for gout remission and to use the results to inform criteria for a complete response (CR). Methods A post hoc analysis of two clinical trials was undertaken to determine the frequency with which subjects with chronic refractory gout who were treated with pegloticase met remission criteria. Mixed modeling was then employed to identify the components that best correlated with time to maximum benefit. Results Of the 56 subjects treated with biweekly pegloticase for whom adequate data were collected, 48.2% met the remission criteria. When subjects with persistent lowering of urate levels were examined separately, 27 of 32 (84.4%) met the criteria for remission. In contrast, even when the requirement for lowering of serum urate levels was waived, only 2 of 24 (8.3%) subjects without persistent lowering of urate levels and 0 of 43 subjects receiving placebo met criteria. Mixed modeling indicated that in addition to urate levels, assessment of tophi, swollen joints, and tender joints and patient global assessment best correlated with time to maximum benefit. Using these criteria of CR, 23 of the responders (71.9%) met the criteria. All patients who achieved a CR maintained it for a mean duration of 507.4 days. Finally, 64% of persistent responders to monthly pegloticase also met criteria for CR. Conclusion These results have validated the proposed remission criteria for gout and have helped define criteria for CR in individuals with chronic gout treated with pegloticase. This composite CR index can serve as an evidence-based target to inform the design and end points of future clinical trials.
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Improvement in OMERACT domains and renal function with regular treatment for gout: a 12-month follow-up cohort study. Clin Rheumatol 2018; 37:1885-1894. [DOI: 10.1007/s10067-018-4065-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2017] [Revised: 03/02/2018] [Accepted: 03/05/2018] [Indexed: 10/17/2022]
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12
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de Lautour H, Taylor WJ, Adebajo A, Alten R, Burgos-Vargas R, Chapman P, Cimmino MA, da Rocha Castelar Pinheiro G, Day R, Harrold LR, Helliwell P, Janssen M, Kerr G, Kavanaugh A, Khanna D, Khanna PP, Lin C, Louthrenoo W, McCarthy G, Vazquez-Mellado J, Mikuls TR, Neogi T, Ogdie A, Perez-Ruiz F, Schlesinger N, Ralph Schumacher H, Scirè CA, Singh JA, Sivera F, Slot O, Stamp LK, Tausche AK, Terkeltaub R, Uhlig T, van de Laar M, White D, Yamanaka H, Zeng X, Dalbeth N. Development of Preliminary Remission Criteria for Gout Using Delphi and 1000Minds Consensus Exercises. Arthritis Care Res (Hoboken) 2017; 68:667-72. [PMID: 26414176 DOI: 10.1002/acr.22741] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2015] [Revised: 09/09/2015] [Accepted: 09/22/2015] [Indexed: 12/21/2022]
Abstract
OBJECTIVE To establish consensus for potential remission criteria to use in clinical trials of gout. METHODS Experts (n = 88) in gout from multiple countries were invited to participate in a web-based questionnaire study. Three rounds of Delphi consensus exercises were conducted using SurveyMonkey, followed by a discrete-choice experiment using 1000Minds software. The exercises focused on identifying domains, definitions for each domain, and the timeframe over which remission should be defined. RESULTS There were 49 respondents (56% response) to the initial survey, with subsequent response rates ranging from 57% to 90%. Consensus was reached for the inclusion of serum urate (98% agreement), flares (96%), tophi (92%), pain (83%), and patient global assessment of disease activity (93%) as measurement domains in remission criteria. Consensus was also reached for domain definitions, including serum urate (<0.36 mm), pain (<2 on a 10-point scale), and patient global assessment (<2 on a 10-point scale), all of which should be measured at least twice over a set time interval. Consensus was not achieved in the Delphi exercise for the timeframe for remission, with equal responses for 6 months (51%) and 1 year (49%). In the discrete-choice experiment, there was a preference towards 12 months as a timeframe for remission. CONCLUSION These consensus exercises have identified domains and provisional definitions for gout remission criteria. Based on the results of these exercises, preliminary remission criteria are proposed with domains of serum urate, acute flares, tophus, pain, and patient global assessment. These preliminary criteria now require testing in clinical data sets.
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Affiliation(s)
| | | | | | - Rieke Alten
- Schlosspark-Klinik, Charité, University Medicine Berlin, Berlin, Germany
| | | | | | | | | | - Ric Day
- University of New South Wales and St Vincent's Hospital, Sydney, Australia
| | - Leslie R Harrold
- University of Massachusetts Medical School, Worcester, and Corrona, LLC, Southborough
| | - Philip Helliwell
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, Leeds, UK
| | | | - Gail Kerr
- Veterans Affairs Medical Center, Georgetown and Howard University Hospitals, Washington, DC
| | | | | | - Puja P Khanna
- University of Michigan and Ann Arbor VA Medical Center, Ann Arbor
| | - Chingtsai Lin
- Taichung Veteran's General Hospital, Taichung, Taiwan
| | | | - Geraldine McCarthy
- Mater Misericordiae University Hospital and University College, Dublin, Ireland
| | | | - Ted R Mikuls
- Nebraska-Western Iowa Health Care System and University of Nebraska Medical Center, Omaha
| | - Tuhina Neogi
- Boston University School of Medicine, Boston, Massachusetts
| | | | - Fernando Perez-Ruiz
- Hospital Universitario Cruces, OSI-EEC, and Biocruces Health Research Institute, Biscay, Spain
| | - Naomi Schlesinger
- Rutgers University Robert Wood Johnson Medical School, New Brunswick, New Jersey
| | | | - Carlo A Scirè
- IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, Italy
| | - Jasvinder A Singh
- University of Alabama at Birmingham and the Birmingham VA Medical Center, Birmingham
| | | | - Ole Slot
- Copenhagen University Hospital Glostrup, Glostrup, Denmark
| | | | | | | | - Till Uhlig
- National Advisory Unit on Rehabilitation in Rheumatology, Diakonhjemmet Hospital, Oslo, Norway
| | | | - Douglas White
- Waikato DHB and Waikato Clinical School, University of Auckland, Hamilton, New Zealand
| | | | - Xuejun Zeng
- Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, China
| | - Nicola Dalbeth
- University of Auckland and Auckland District Health Board, Auckland, New Zealand
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Aggarwal R, Rider LG, Ruperto N, Bayat N, Erman B, Feldman BM, Oddis CV, Amato AA, Chinoy H, Cooper RG, Dastmalchi M, Fiorentino D, Isenberg D, Katz JD, Mammen A, de Visser M, Ytterberg SR, Lundberg IE, Chung L, Danko K, la Torre IGD, Song YW, Villa L, Rinaldi M, Rockette H, Lachenbruch PA, Miller FW, Vencovsky J. 2016 American College of Rheumatology/European League Against Rheumatism criteria for minimal, moderate, and major clinical response in adult dermatomyositis and polymyositis: An International Myositis Assessment and Clinical Studies Group/Paediatric Rheumatology International Trials Organisation Collaborative Initiative. Ann Rheum Dis 2017; 76:792-801. [PMID: 28385805 PMCID: PMC5496443 DOI: 10.1136/annrheumdis-2017-211400] [Citation(s) in RCA: 88] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/01/2017] [Indexed: 11/03/2022]
Abstract
To develop response criteria for adult dermatomyositis (DM) and polymyositis (PM). Expert surveys, logistic regression, and conjoint analysis were used to develop 287 definitions using core set measures. Myositis experts rated greater improvement among multiple pairwise scenarios in conjoint analysis surveys, where different levels of improvement in 2 core set measures were presented. The PAPRIKA (Potentially All Pairwise Rankings of All Possible Alternatives) method determined the relative weights of core set measures and conjoint analysis definitions. The performance characteristics of the definitions were evaluated on patient profiles using expert consensus (gold standard) and were validated using data from a clinical trial. The nominal group technique was used to reach consensus. Consensus was reached for a conjoint analysis-based continuous model using absolute per cent change in core set measures (physician, patient, and extramuscular global activity, muscle strength, Health Assessment Questionnaire, and muscle enzyme levels). A total improvement score (range 0-100), determined by summing scores for each core set measure, was based on improvement in and relative weight of each core set measure. Thresholds for minimal, moderate, and major improvement were ≥20, ≥40, and ≥60 points in the total improvement score. The same criteria were chosen for juvenile DM, with different improvement thresholds. Sensitivity and specificity in DM/PM patient cohorts were 85% and 92%, 90% and 96%, and 92% and 98% for minimal, moderate, and major improvement, respectively. Definitions were validated in the clinical trial analysis for differentiating the physician rating of improvement (p<0.001). The response criteria for adult DM/PM consisted of the conjoint analysis model based on absolute per cent change in 6 core set measures, with thresholds for minimal, moderate, and major improvement.
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Affiliation(s)
- Rohit Aggarwal
- Department of Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA
| | - Lisa G. Rider
- Environmental Autoimmunity Group, NIEHS, NIH, Bethesda, MD
| | | | - Nastaran Bayat
- Environmental Autoimmunity Group, NIEHS, NIH, Bethesda, MD
| | - Brian Erman
- Social and Scientific Systems, Inc., Durham, NC
| | | | - Chester V. Oddis
- Department of Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA
| | - Anthony A Amato
- Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Hector Chinoy
- National Institute of Health Research Manchester Musculoskeletal Biomedical Research Unit, Central Manchester University Hospitals NHS Foundation Trust, University of Manchester, Manchester, United Kingdom
| | - Robert G. Cooper
- Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, United Kingdom
| | - Maryam Dastmalchi
- Rheumatology Unit, Department of Medicine, Solna, Karolinska University Hospital, Karolinska Institute, Stockholm, Sweden
| | | | | | | | - Andrew Mammen
- Johns Hopkins University School of Medicine, Baltimore, MD
| | | | | | - Ingrid E. Lundberg
- Rheumatology Unit, Department of Medicine, Solna, Karolinska University Hospital, Karolinska Institute, Stockholm, Sweden
| | | | | | - Ignacio Garcia-De la Torre
- Hospital General de Occidente de la Secretaría de Salud, and University of Guadalajara, Guadalajara, Jal, México
| | - Yeong Wook Song
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, and College of Medicine, Medical Research Center, Seoul National University Hospital, Seoul, Korea
| | - Luca Villa
- Istituto Giannina Gaslini, Pediatria II, PRINTO, Genoa, Italy
| | | | - Howard Rockette
- Department of Medicine, Division of Rheumatology and Clinical Immunology, University of Pittsburgh, Pittsburgh, PA
| | | | | | - Jiri Vencovsky
- Institute of Rheumatology and Department of Rheumatology, 1 Medical Faculty, Charles University, Prague, Czech Republic
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Rider LG, Aggarwal R, Pistorio A, Bayat N, Erman B, Feldman BM, Huber AM, Cimaz R, Cuttica RJ, de Oliveira SK, Lindsley CB, Pilkington CA, Punaro M, Ravelli A, Reed AM, Rouster-Stevens K, van Royen A, Dressler F, Magalhaes CS, Constantin T, Davidson JE, Magnusson B, Russo R, Villa L, Rinaldi M, Rockette H, Lachenbruch PA, Miller FW, Vencovsky J, Ruperto N. 2016 American College of Rheumatology/European League Against Rheumatism Criteria for Minimal, Moderate, and Major Clinical Response in Adult Dermatomyositis and Polymyositis: An International Myositis Assessment and Clinical Studies Group/Paediatric Rheumatology International Trials Organisation Collaborative Initiative. Arthritis Rheumatol 2017; 69:898-910. [PMID: 28382787 PMCID: PMC5407906 DOI: 10.1002/art.40064] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2016] [Accepted: 01/31/2017] [Indexed: 01/16/2023]
Abstract
OBJECTIVE To develop response criteria for adult dermatomyositis (DM) and polymyositis (PM). METHODS Expert surveys, logistic regression, and conjoint analysis were used to develop 287 definitions using core set measures. Myositis experts rated greater improvement among multiple pairwise scenarios in conjoint analysis surveys, where different levels of improvement in 2 core set measures were presented. The PAPRIKA (Potentially All Pairwise Rankings of All Possible Alternatives) method determined the relative weights of core set measures and conjoint analysis definitions. The performance characteristics of the definitions were evaluated on patient profiles using expert consensus (gold standard) and were validated using data from a clinical trial. The nominal group technique was used to reach consensus. RESULTS Consensus was reached for a conjoint analysis-based continuous model using absolute percent change in core set measures (physician, patient, and extramuscular global activity, muscle strength, Health Assessment Questionnaire, and muscle enzyme levels). A total improvement score (range 0-100), determined by summing scores for each core set measure, was based on improvement in and relative weight of each core set measure. Thresholds for minimal, moderate, and major improvement were ≥20, ≥40, and ≥60 points in the total improvement score. The same criteria were chosen for juvenile DM, with different improvement thresholds. Sensitivity and specificity in DM/PM patient cohorts were 85% and 92%, 90% and 96%, and 92% and 98% for minimal, moderate, and major improvement, respectively. Definitions were validated in the clinical trial analysis for differentiating the physician rating of improvement (P < 0.001). CONCLUSION The response criteria for adult DM/PM consisted of the conjoint analysis model based on absolute percent change in 6 core set measures, with thresholds for minimal, moderate, and major improvement.
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Affiliation(s)
- Lisa G. Rider
- Environmental Autoimmunity Group, Clinical Research Branch, NIEHS, NIH, Bethesda, MD
| | | | - Angela Pistorio
- Istituto Giannina Gaslini, Servizio di Epidemiologia e Biostatistica, Genoa, Italy
| | - Nastaran Bayat
- Environmental Autoimmunity Group, Clinical Research Branch, NIEHS, NIH, Bethesda, MD
| | - Brian Erman
- Social and Scientific Systems, Inc., Durham, NC
| | | | | | | | - Rubén J. Cuttica
- Hospital de Niños Pedro de Elizalde, University of Buenos Aires, Buenos Aires, Argentina
| | | | | | | | - Marilyn Punaro
- University of Texas Southwestern Medical Center, Dallas, TX
| | - Angelo Ravelli
- Istituto Giannina Gaslini, Pediatria II, PRINTO, Genoa, Italy
- Università degli Studi di Genova, Dipartimento di Pediatria, Genoa, Italy
| | | | | | - Annet van Royen
- University Medical Centre Utrecht – Wilhelmina Children's Hospital, Utrecht, Netherlands
| | | | | | | | - Joyce E. Davidson
- Royal Hospitals for Sick Children, Glasgow and Edinburgh, United Kingdom
| | - Bo Magnusson
- Karolinska University Hospital, Stockholm, Sweden
| | - Ricardo Russo
- Hospital de Pediatría Garrahan, Buenos Aires, Argentina
| | - Luca Villa
- Istituto Giannina Gaslini, Pediatria II, PRINTO, Genoa, Italy
| | | | | | - Peter A. Lachenbruch
- Environmental Autoimmunity Group, Clinical Research Branch, NIEHS, NIH, Bethesda, MD
| | - Frederick W. Miller
- Environmental Autoimmunity Group, Clinical Research Branch, NIEHS, NIH, Bethesda, MD
| | - Jiri Vencovsky
- Institute of Rheumatology and Department of Rheumatology, 1 Medical Faculty, Charles University, Prague, Czech Republic
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Sullivan T, Hansen P. Determining Criteria and Weights for Prioritizing Health Technologies Based on the Preferences of the General Population: A New Zealand Pilot Study. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2017; 20:679-686. [PMID: 28408011 DOI: 10.1016/j.jval.2016.12.008] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2016] [Revised: 06/27/2016] [Accepted: 12/12/2016] [Indexed: 06/07/2023]
Abstract
OBJECTIVES The use of multicriteria decision analysis for health technology prioritization depends on decision-making criteria and weights according to their relative importance. We report on a methodology for determining criteria and weights that was developed and piloted in New Zealand and enables extensive participation by members of the general population. METHODS Stimulated by a preliminary ranking exercise that involved prioritizing 14 diverse technologies, six focus groups discussed what matters to people when thinking about technologies that should be funded. These discussions informed the specification of criteria related to technologies' benefits for use in a discrete choice survey designed to generate weights for each individual participant as well as mean weights. A random sample of 3218 adults was invited to participate. To check test-retest reliability, a subsample completed the survey twice. Cluster analysis was performed to identify participants with similar patterns of weights. RESULTS Six benefits-related criteria were distilled from the focus group discussions and included in the discrete choice survey, which was completed by 322 adults (10% response rate). Most participants (85%) found the survey easy to understand, and the survey exhibited test-retest reliability. The cluster analysis revealed that participant weights are related more to idiosyncratic personal preferences than to demographic and background characteristics. CONCLUSIONS The methodology enables extensive participation by members of the general population, for whom it is both acceptable and reliable. Generating weights for each participant allows the heterogeneity of individual preferences, and the extent to which they are related to demographic and background characteristics, to be tested.
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Affiliation(s)
- Trudy Sullivan
- Department of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand
| | - Paul Hansen
- Department of Economics, University of Otago, Dunedin, New Zealand.
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Scirè CA, Carrara G, Viroli C, Cimmino MA, Taylor WJ, Manara M, Govoni M, Salaffi F, Punzi L, Montecucco C, Matucci-Cerinic M, Minisola G. Development and First Validation of a Disease Activity Score for Gout. Arthritis Care Res (Hoboken) 2016; 68:1530-7. [PMID: 26815286 PMCID: PMC5129490 DOI: 10.1002/acr.22844] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2015] [Revised: 12/06/2015] [Accepted: 01/12/2016] [Indexed: 01/24/2023]
Abstract
Objective To develop a new composite disease activity score for gout and provide its first validation. Methods Disease activity has been defined as the ongoing presence of urate deposits that lead to acute arthritis and joint damage. Every measure for each Outcome Measures in Rheumatology core domain was considered. A 3‐step approach (factor analysis, linear discriminant analysis, and linear regression) was applied to derive the Gout Activity Score (GAS). Decision to change treatment or 6‐month flare count were used as the surrogate criteria of high disease activity. Baseline and 12‐month followup data of 446 patients included in the Kick‐Off of the Italian Network for Gout cohort were used. Construct‐ and criterion‐related validity were tested. External validation on an independent sample is reported. Results Factor analysis identified 5 factors: patient‐reported outcomes, joint examination, flares, tophi, and serum uric acid (sUA). Discriminant function analysis resulted in a correct classification of 79%. Linear regression analysis identified a first candidate GAS including 12‐month flare count, sUA, visual analog scale (VAS) of pain, VAS global activity assessment, swollen and tender joint counts, and a cumulative measure of tophi. Alternative scores were also developed. The developed GAS demonstrated a good correlation with functional disability (criterion validity) and discrimination between patient‐ and physician‐reported measures of active disease (construct validity). The results were reproduced in the external sample. Conclusion This study developed and validated a composite measure of disease activity in gout. Further testing is required to confirm its generalizability, responsiveness, and usefulness in assisting with clinical decisions.
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Martelli N, Hansen P, van den Brink H, Boudard A, Cordonnier AL, Devaux C, Pineau J, Prognon P, Borget I. Combining multi-criteria decision analysis and mini-health technology assessment: A funding decision-support tool for medical devices in a university hospital setting. J Biomed Inform 2016; 59:201-8. [DOI: 10.1016/j.jbi.2015.12.002] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Revised: 11/29/2015] [Accepted: 12/07/2015] [Indexed: 11/30/2022]
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Outcome Measures for Gout Clinical Trials: a Summary of Progress. CURRENT TREATMENT OPTIONS IN RHEUMATOLOGY 2015. [DOI: 10.1007/s40674-015-0014-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Janssen IM, Gerhardus A, Schröer-Günther MA, Scheibler F. A descriptive review on methods to prioritize outcomes in a health care context. Health Expect 2014; 18:1873-93. [PMID: 25156207 DOI: 10.1111/hex.12256] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/01/2014] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Evidence synthesis has seen major methodological advances in reducing uncertainty and estimating the sizes of the effects. Much less is known about how to assess the relative value of different outcomes. OBJECTIVE To identify studies that assessed preferences for outcomes in health conditions. METHODS SEARCH STRATEGY we searched MEDLINE, EMBASE, PsycINFO and the Cochrane Library in February 2014. INCLUSION CRITERIA eligible studies investigated preferences of patients, family members, the general population or healthcare professionals for health outcomes. The intention of this review was to include studies which focus on theoretical alternatives; studies which assessed preferences for distinct treatments were excluded. DATA EXTRACTION study characteristics as study objective, health condition, participants, elicitation method, and outcomes assessed in the study were extracted. MAIN RESULTS One hundred and twenty-four studies were identified and categorized into four groups: (1) multi criteria decision analysis (MCDA) (n = 71), (2) rating or ranking (n = 25), (3) utility eliciting (n = 5) and (4) studies comparing different methods (n = 23). The number of outcomes assessed by method group varied. The comparison of different methods or subgroups within one study often resulted in different hierarchies of outcomes. CONCLUSIONS A dominant method most suitable for application in evidence syntheses was not identified. As preferences of patients differ from those of other stakeholders (especially medical professionals), the choice of the group to be questioned is consequential. Further research needs to focus on validity and applicability of the identified methods.
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Affiliation(s)
- Inger M Janssen
- Department of Epidemiology & International Public Health, University of Bielefeld, Bielefeld, Germany.,Department of Health Information, Institute for Quality and Efficiency in Healthcare (IQWiG), Köln, Germany
| | - Ansgar Gerhardus
- Department of Health Services Research, Institute for Public Health and Nursing Science, University of Bremen, Bremen, Germany
| | - Milly A Schröer-Günther
- Department of Non-Drug Interventions, Institute for Quality and Efficiency in Healthcare (IQWiG), Köln, Germany
| | - Fülöp Scheibler
- Department of Non-Drug Interventions, Institute for Quality and Efficiency in Healthcare (IQWiG), Köln, Germany
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