Validation of administrative case ascertainment algorithms for chronic childhood arthritis in Manitoba, Canada

被引:0
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作者
Natalie Jane Shiff
Kiem Oen
Rasheda Rabbani
Lisa M. Lix
机构
[1] University of Florida,Division of Immunology, Rheumatology and Allergy, Department of Pediatrics
[2] University of Saskatchewan,Department of Community Health and Epidemiology
[3] University of Manitoba,Department of Pediatrics and Child Health
[4] University of Manitoba/Winnipeg Regional Health Authority,George and Fay Yee Center for Healthcare Innovation
[5] University of Manitoba,Department of Community Health Sciences, College of Medicine
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关键词
Juvenile idiopathic arthritis; Juvenile rheumatoid arthritis; Administrative data; Validation study;
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摘要
We validated case ascertainment algorithms for juvenile idiopathic arthritis (JIA) in the provincial health administrative databases of Manitoba, Canada. A population-based pediatric rheumatology clinical database from April 1st 1980 to March 31st 2012 was used to test case definitions in individuals diagnosed at ≤15 years of age. The case definitions varied the number of diagnosis codes (1, 2, or 3), time frame (1, 2 or 3 years), time between diagnoses (ever, >1 day, or ≥8 weeks), and physician specialty. Positive predictive value (PPV), sensitivity, and specificity with 95% confidence intervals (CIs) are reported. A case definition of 1 hospitalization or ≥2 diagnoses in 2 years by any provider ≥8 weeks apart using diagnosis codes for rheumatoid arthritis and ankylosing spondylitis produced a sensitivity of 89.2% (95% CI 86.8, 91.6), specificity of 86.3% (95% CI 83.0, 89.6), and PPV of 90.6% (95% CI 88.3, 92.9) when seronegative enthesopathy and arthropathy (SEA) was excluded as JIA; and sensitivity of 88.2% (95% CI 85.7, 90.7), specificity of 90.4% (95% CI 87.5, 93.3), and PPV of 93.9% (95% CI 92.0, 95.8) when SEA was included as JIA. This study validates case ascertainment algorithms for JIA in Canadian administrative health data using diagnosis codes for both rheumatoid arthritis (RA) and ankylosing spondylitis, to better reflect current JIA classification than codes for RA alone. Researchers will be able to use these results to define cohorts for population-based studies.
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页码:1575 / 1584
页数:9
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共 47 条
  • [41] Prevalence and Incidence Trends of Attention Deficit/Hyperactivity Disorder in Children and Youth Aged 1-24 Years in Ontario, Canada: A Validation Study of Health Administrative Data Algorithms
    Butt, Debra A.
    Jaakkimainen, Liisa
    Tu, Karen
    [J]. CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE, 2024, 69 (05): : 326 - 336
  • [42] Development and Validation of Case-Finding Algorithms for the Identification of Patients with ANCA-Associated Vasculitis and Large-Vessel Vasculitis in Healthcare Administrative Databases
    Sreih, Antoine G.
    Annapureddy, Narender
    Springer, Jason
    Byram, Kevin
    Casey, George
    Cruz, Andy
    Estephan, Maya
    Frangiosa, Vince
    George, Michael D.
    Liu, Mei
    Maz, Mehrdad
    Parker, Adam
    Sangani, Sapna
    Sharim, Rebecca
    Merkel, Peter A.
    [J]. ARTHRITIS & RHEUMATOLOGY, 2016, 68
  • [43] DEVELOPMENT AND VALIDATION OF CASE-FINDING ALGORITHMS FOR THE IDENTIFICATION OF PATIENTS WITH ANCA-ASSOCIATED VASCULITIS AND LARGE-VESSEL VASCULITIS IN HEALTHCARE ADMINISTRATIVE DATABASES
    Sreih, Antoine G.
    Annapureddy, Narender
    Maz, Mehrdad
    Springer, Jason
    Casey, George
    Byram, Kevin
    Cruz, Andy
    Estephan, Maya
    Frangiosa, Vince
    George, Michael
    Liu, Mei
    Parker, Adam
    Sangani, Sapna
    Sharim, Rebecca
    Merkel, Peter A.
    [J]. RHEUMATOLOGY, 2017, 56 : 108 - 108
  • [44] Development and validation of case-finding algorithms for the identification of patients with anti-neutrophil cytoplasmic antibody-associated vasculitis in large healthcare administrative databases
    Sreih, Antoine G.
    Annapureddy, Narender
    Springer, Jason
    Casey, George
    Byram, Kevin
    Cruz, Andy
    Estephan, Maya
    Frangiosa, Vince
    George, Michael D.
    Liu, Mei
    Parker, Adam
    Sangani, Sapna
    Sharim, Rebecca
    Merkel, Peter A.
    [J]. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2016, 25 (12) : 1368 - 1374
  • [45] A SYSTEMATIC REVIEW OF CASE-IDENTIFICATION ALGORITHMS BASED ON ITALIAN HEALTHCARE ADMINISTRATIVE DATABASES FOR TWO RELEVANT DISEASES OF THE RESPIRATORY SYSTEM: ASTHMA AND CHRONIC OBSTRUCTIVE PULMONARY DISEASE
    Di Domenicantonio, Riccardo
    Cappai, Giovanna
    Di Martino, Mirko
    Agabiti, Nera
    Simonato, Lorenzo
    Canova, Cristina
    Amidei, Claudio Barbiellini
    [J]. EPIDEMIOLOGIA & PREVENZIONE, 2019, 43 (04): : 75 - 87
  • [46] A SYSTEMATIC REVIEW OF CASE-IDENTIFICATION ALGORITHMS BASED ON ITALIAN HEALTHCARE ADMINISTRATIVE DATABASES FOR THREE RELEVANT DISEASES OF THE DIGESTIVE AND GENITOURINARY SYSTEM: INFLAMMATORY BOWEL DISEASES, CELIAC DISEASE, AND CHRONIC KIDNEY DISEASE
    Di Domenicantonio, Riccardo
    Cappai, Giovanna
    Agabiti, Nera
    Marino, Claudia
    Simonato, Lorenzo
    Canova, Cristina
    Pitter, Gisella
    [J]. EPIDEMIOLOGIA & PREVENZIONE, 2019, 43 (04): : 88 - 98
  • [47] A validation study of a new classification algorithm to identify rheumatoid arthritis using administrative health databases: case-control and cohort diagnostic accuracy studies. Results from the RECord linkage On Rheumatic Diseases study of the Italian Society for Rheumatology
    Carrara, Greta
    Scire, Carlo A.
    Zambon, Antonella
    Cimmino, Marco A.
    Cerra, Carlo
    Caprioli, Marta
    Cagnotto, Giovanni
    Nicotra, Federica
    Arfe, Andrea
    Migliazza, Simona
    Corrao, Giovanni
    Minisola, Giovanni
    Montecucco, Carlomaurizio
    [J]. BMJ OPEN, 2015, 5 (01):