Development of a Simple Index to Measure Overuse of Diagnostic Testing at the Hospital Level Using Administrative Data

被引:6
|
作者
Ellenbogen, Michael, I [1 ]
Prichett, Laura [2 ]
Johnson, Pamela T. [3 ]
Brotman, Daniel J. [1 ]
机构
[1] Johns Hopkins Sch Med, Dept Med, Baltimore, MD 21205 USA
[2] Johns Hopkins Sch Med, Biostat Epidemiol & Data Management Bead CORE, Baltimore, MD USA
[3] Johns Hopkins Sch Med, Dept Radiol, Baltimore, MD USA
关键词
CARE; ASSOCIATION;
D O I
10.12788/jhm.3547
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
OBJECTIVE: We developed a diagnostic overuse index that identifies hospitals with high levels of diagnostic intensity by comparing negative diagnostic testing rates for common diagnoses. METHODS: We prospectively identified candidate overuse metrics, each defined by the percentage of patients with a particular diagnosis who underwent a potentially unnecessary diagnostic test. We used data from seven states participating in the State Inpatient Databases. Candidate metrics were tested for temporal stability and internal consistency. Using mixed-effects ordinal regression and adjusting for regional and hospital characteristics, we compared results of our index with three Dartmouth health service area-level utilization metrics and three Medicare county-level cost metrics. RESULTS: The index was comprised of five metrics with good temporal stability and internal consistency. It correlated with five of the six prespecified overuse measures. Among the Dartmouth metrics, our index correlated most closely with physician reimbursement, with an odds ratio of 2.02 (95% CI, 1.11-3.66) of being in a higher tertile of the overuse index when comparing tertiles 3 and 1 of this Dartmouth metric. Among the Medicare county-level metrics, our index correlated most closely with standardized costs of procedures per capita, with an odds ratio of 2.03 (95% CI, 1.21-3.39) of being in a higher overuse index tertile when comparing tertiles 3 and 1 of this metric. CONCLUSIONS: We developed a novel overuse index that is preliminary in nature. This index is derived from readily available administrative data and shows some promise for measuring overuse of diagnostic testing at the hospital level. (C) 2021 Society of Hospital Medicine.
引用
收藏
页码:77 / 83
页数:7
相关论文
共 50 条
  • [1] Overuse of administrative data to measure underuse of care
    Hsu, J
    Go, A
    Selby, J
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2001, 285 (06): : 735 - 735
  • [2] Development and validation of a hospital frailty risk measure using Canadian clinical administrative data
    Amuah, Joseph Emmanuel
    Molodianovitsh, Katy
    Carbone, Sarah
    Diestelkamp, Naomi
    Guo, Yanling
    Hogan, David B.
    Li, Mingyang
    Maxwell, Colleen J.
    Muscedere, John
    Rockwood, Kenneth
    Sinha, Samir
    Theou, Olga
    Karmakar-Hore, Sunita
    [J]. CANADIAN MEDICAL ASSOCIATION JOURNAL, 2023, 195 (12) : E437 - E448
  • [3] Validating a methodology to measure frailty syndromes at hospital level utilising administrative data
    Soong, John T. Y.
    Rolph, Giles
    Poots, Alan J.
    Bell, Derek
    [J]. CLINICAL MEDICINE, 2020, 20 (02) : 183 - 188
  • [4] Overuse of administrative data to measure underuse of care (vol 285, pg 735, 2001)
    Pogach, L
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2001, 286 (09): : 1026 - 1026
  • [5] Development of a disease-based hospital-level diagnostic intensity index
    Ellenbogen, Michael I.
    Feldman, Leonard S.
    Prichett, Laura
    Zhou, Junyi
    Brotman, Daniel J.
    [J]. DIAGNOSIS, 2024, 11 (03) : 303 - 311
  • [6] Development and Validation of a Pediatric Asthma Control Index Using Administrative Data
    Despres, Francois
    Ducharme, Francine M.
    Forget, Amelie
    Tse, Sze Man
    Kettani, Fatima-Zohra
    Blais, Lucie
    [J]. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2017, 26 : 210 - 210
  • [7] Prediction of hospital readmission for heart failure: Development of a simple risk score based on administrative data
    Philbin, EF
    DiSalvo, TG
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 1999, 33 (06) : 1560 - 1566
  • [8] The impact of rapid diagnostic testing on hospital administrative coding accuracy for influenza
    Murray, Hugh C.
    Smith, Benjamin J.
    Putland, Mark
    Irving, Lou
    Johnson, Douglas
    Williamson, Deborah A.
    Tong, Steven Y. C.
    [J]. INFECTION DISEASE & HEALTH, 2023, 28 (04) : 271 - 275
  • [9] Verification of administrative data to measure palliative care at terminal hospital stays
    Stubbs, Joanne M.
    Assareh, Hassan
    Achat, Helen M.
    Greenaway, Sally
    Muruganantham, Poorani
    [J]. HEALTH INFORMATION MANAGEMENT JOURNAL, 2023, 52 (01) : 28 - 36
  • [10] The hazards of using administrative data to measure surgical quality
    Fry, Donald E.
    Pine, Michael B.
    Jordan, Harmon S.
    Hoaglin, David C.
    Jones, Barbara
    Meimban, Roger
    [J]. AMERICAN SURGEON, 2006, 72 (11) : 1031 - 1037