Developing and validating an algorithm to identify incident chronic dialysis patients using administrative data

被引：0
|
作者：
Dino Gibertoni
Claudio Voci
Marica Iommi
Benedetta D’Ercole
Marcora Mandreoli
Antonio Santoro
Elena Mancini
机构：
[1] University of Bologna,Department of Biomedical and Neuromotor Sciences
[2] Bologna Local Health Authority,Advanced School for Health Policy
[3] University of Bologna,Nephrology and Dialysis Unit
[4] Cooperativa EDP La Traccia,Nephrology, Dialysis and Hypertension Unit
[5] S. Maria della Scaletta Hospital,undefined
[6] Specialty School in Nephrology,undefined
[7] Policlinico S.Orsola-Malpighi,undefined
来源：
BMC Medical Informatics and Decision Making | / 20卷
关键词：
Chronic dialysis; Administrative data; Hospital discharge records; Ambulatory specialty visits; Case definition; Algorithm;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] An administrative data algorithm to identify traumatic spinal cord injured patients: a validation study
    B Welk
    E Loh
    S Z Shariff
    K Liu
    F Siddiqi
    [J]. Spinal Cord, 2014, 52 : 34 - 38
  • [32] An administrative data algorithm to identify traumatic spinal cord injured patients: a validation study
    Welk, B.
    Loh, E.
    Shariff, S. Z.
    Liu, K.
    Siddiqi, F.
    [J]. SPINAL CORD, 2014, 52 (01) : 34 - 38
  • [33] How to Identify Homelessness Using Administrative Data
    Yue, D.
    Pourat, N.
    Chen, X.
    O'Masta, B.
    Huynh, M.
    Xin, K.
    [J]. HEALTH SERVICES RESEARCH, 2020, 55 : 139 - 140
  • [34] Using administrative data to identify associations between implanted medical devices and chronic diseases
    Romano, PS
    [J]. ANNALS OF EPIDEMIOLOGY, 2000, 10 (04) : 197 - 199
  • [35] HOSPITAL ADMINISTRATIVE DATA TO IDENTIFY NSCLC: AN ALGORITHM EVALUATION STUDY
    Balzi, W.
    Roncadori, A.
    Massa, I
    Danesi, V
    Gentili, N.
    Crino, L.
    Delmonte, A.
    Altini, M.
    [J]. VALUE IN HEALTH, 2022, 25 (01) : S270 - S270
  • [36] An algorithm to identify gabapentin misuse and/or abuse in administrative claims data
    Zhao, Danni
    Nunes, Anthony P.
    Baek, Jonggyu
    Lapane, Kate L.
    [J]. DRUG AND ALCOHOL DEPENDENCE, 2022, 235
  • [37] Validation in Alberta of an administrative data algorithm to identify cancer recurrence
    Cairncross, Z. F.
    Nelson, G.
    Shack, L.
    Metcalfe, A.
    [J]. CURRENT ONCOLOGY, 2020, 27 (03) : E343 - E346
  • [38] Validation of an Updated Algorithm to Identify Patients With Incident Non-Small Cell Lung Cancer in Administrative Claims Databases
    Patel, Sandip Pravin
    Wang, Rongrong
    Zhou, Summera Qiheng
    Sheinson, Daniel
    Johnson, Ann
    Lee, Janet Shin
    [J]. JCO CLINICAL CANCER INFORMATICS, 2024, 8 : e2300165
  • [39] Predicting the Risk of 1-Year Mortality in Incident Dialysis Patients Accounting for Case-Mix Severity in Studies Using Administrative Data
    Quinn, Robert R.
    Laupacis, Andreas
    Hux, Janet E.
    Oliver, Matthew J.
    Austin, Peter C.
    [J]. MEDICAL CARE, 2011, 49 (03) : 257 - 266
  • [40] Validating An Automated Algorithm To Identify Outpatient Treated COPD Exacerbations Using Electronic Medical Records Data
    Ko, S.
    Greif, S.
    Lee, J. S.
    Liu, A.
    Desai, S. A.
    Harrington, A.
    Lee, S. M.
    Moy, M. L.
    Fan, V. S.
    Gould, M. K.
    Nguyen, H. Q.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2016, 193
12345