Comparison of Fracture Identification Using Different Definitions in Healthcare Administrative (Claims) Data

被引:0
|
作者
Konstantelos, Natalia [1 ]
Burden, Andrea M. [1 ,2 ]
Cheung, Angela M. [3 ,4 ]
Kim, Sandra [1 ,5 ]
Grootendorst, Paul [1 ]
Cadarette, Suzanne M. [1 ,3 ,6 ,7 ]
机构
[1] Univ Toronto, Leslie Dan Fac Pharm, Toronto, ON M5S 3M2, Canada
[2] Swiss Fed Inst Technol, CH-8092 Zurich, Switzerland
[3] Univ Toronto, Dalla Lana Sch Publ Hlth, Toronto, ON M5T 3M7, Canada
[4] Univ Toronto, Univ Hlth Network, Dept Med, Toronto, ON M5S 1A8, Canada
[5] Womens Coll Hosp, Toronto, ON M5S 1B2, Canada
[6] ICES, Toronto, ON M4N 1P8, Canada
[7] Univ N Carolina, Eshelman Sch Pharm, Chapel Hill, NC 27599 USA
基金
加拿大健康研究院;
关键词
drug safety; research methodology; osteoporotic fractures; osteoporosis; pharmacoepidemiology;
D O I
10.3390/pharmacy11020053
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
We identified inconsistency in fracture definitions in a prior review of studies that utilized claims data. Here, we aimed to compare fracture rates estimated using thirteen hip and seven radius/ulna fracture definitions. Our primary analysis compared results in a cohort of 120,363 older adults treated with oral bisphosphonates for >= 3 years. The most inclusive definition (hip: inpatient or emergency diagnosis; radius/ulna: inpatient, emergency, or outpatient diagnosis) served as a referent to compare the number and proportion of fractures captured. In sensitivity analyses, we considered a 180-day washout, excluded fractures associated with trauma; and hip only, excluded: (1) subtrochanteric fractures, and (2) hip replacement procedures. Hip fractures varied by definition in number (52-8058) and incidence (0.7-111.8/10,000 person-years). The second most inclusive definition required one inpatient diagnosis and identified 8% fewer hip fractures than the referent. Excluding hip replacements missed 33% of hip fractures relative to the primary analysis. Radius/ulna fractures also ranged in number (1589-6797) and incidence (22.0-94.3/10,000 person-years). Outpatient data were important, when restricted to inpatient or emergency data, only 78% of radius/ulna fractures were identified. Other than hip replacement procedures, sensitivity analyses had minimal impact on fracture identification. Analyses were replicated in a cohort of patients treated with long-term glucocorticoids. This study highlights the importance and impact of coding decisions on fracture outcome definitions. Further research is warranted to inform best practice in fracture outcome identification.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] Osteoporosis-related fracture case definitions for population-based administrative data
    Lix, Lisa M.
    Azimaee, Mahmoud
    Osman, Beliz Acan
    Caetano, Patricia
    Morin, Suzanne
    Metge, Colleen
    Goltzman, David
    Kreiger, Nancy
    Prior, Jerilynn
    Leslie, William D.
    BMC PUBLIC HEALTH, 2012, 12
  • [32] Choosing Wisely Recommendations Using Administrative Claims Data Reply
    Agiro, Abiy
    DeVries, Andrea
    Rosenberg, Alan
    JAMA INTERNAL MEDICINE, 2016, 176 (04) : 566 - 566
  • [33] Using FAIR Metadata for Secondary Use of Administrative Claims Data
    Haux, Christian
    Knaup, Petra
    MEDINFO 2019: HEALTH AND WELLBEING E-NETWORKS FOR ALL, 2019, 264 : 1472 - 1473
  • [34] Varying numerator and denominator population definitions in annual prevalence proportions estimated from administrative claims data
    Hester, Laura L.
    Weaver, James A.
    Kern, David M.
    Knoll, Christopher A.
    Ryan, Patrick B.
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2018, 27 : 132 - 132
  • [35] Development and Validation of Claims-Based Definitions to Identify Incident and Prevalent Inflammatory Bowel Disease in Administrative Healthcare Databases
    Dawwas, Ghadeer K.
    Weiss, Alexandra
    Constant, Brad D.
    Parlett, Lauren E.
    Haynes, Kevin
    Yang, Jeff Yufeng
    Brensinger, Colleen
    Wu, Qufei
    Pate, Virginia
    Funk, Michele Jonsson
    Schaubel, Douglas E.
    Hurtado-Lorenzo, Andres
    Kappelman, Michael David
    Lewis, James D.
    INFLAMMATORY BOWEL DISEASES, 2023, 29 (12) : 1993 - 1996
  • [36] The case of lipid-lowering therapy: A comparison of adherence measurement methodologies using administrative claims data
    LaFleur, J
    White, GL
    Lyon, JL
    Oderda, GM
    VALUE IN HEALTH, 2006, 9 (03) : A132 - A132
  • [37] IDENTIFICATION OF PSORIATIC ARTHRITIS USING AN ADMINISTRATIVE CLAIMS-BASED ALGORITHM
    Lee, Hemin
    Ford, Julia
    Jin, Yinzhu
    Ortiz, J. Adrian. Santiago
    Tong, Angela Y.
    Kim, Seoyoung
    ANNALS OF THE RHEUMATIC DISEASES, 2019, 78 : 914 - 914
  • [38] Identification of Psoriatic Arthritis Using an Administrative Claims-Based Algorithm
    Ford, Julia
    MacFarlane, Lindsey A.
    Tong, Angela
    Kim, Seoyoung C.
    ARTHRITIS & RHEUMATOLOGY, 2018, 70
  • [39] The application of machine learning to predict high-cost patients: A performance-comparison of different models using healthcare claims data
    Langenberger, Benedikt
    Schulte, Timo
    Groene, Oliver
    PLOS ONE, 2023, 18 (01):
  • [40] Exploring novel diabetes surveillance methods: a comparison of administrative, laboratory and pharmacy data case definitions using THIN
    Khokhar, Bushra
    Quan, Hude
    Kaplan, Gilaad G.
    Butalia, Sonia
    Rabi, Doreen
    JOURNAL OF PUBLIC HEALTH, 2018, 40 (03) : 652 - 658