The challenge of undiagnosed sleep apnea in low-risk populations: a decision analysis.

Objectives: Obstructive sleep apnea (OSA) may contribute to impaired performance among otherwise healthy active duty military personnel. We used decision analysis to evaluate three approaches to identifying and treating OSA in low-risk populations, which may differ from current standard practice for...

Descripción completa

Detalles Bibliográficos
Publicado en:Military Medicine Vol. 179; no. 8; pp. 47 - 55
Autores principales: Bianchi, Matt T, Hershman, Steven, Bahadoran, Mahshid, Ferguson, Matthew, Westover, M Brandon
Formato: research Journal Article
Publicado: Oxford University Press / USA Aug2014 Supplement
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109674923&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 109674923
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        00264075
        4DV
      jtl: Military Medicine
      issn: 00264075
      maglogo: N
    pubinfo:
      dt: Aug2014 Supplement
      vid: 179
      iid: 8
      pid: 622
      pub: Oxford University Press / USA
    artinfo:
      ui:
        109674923
        97443539
        NLM25102549
        2012676830
        10.7205/MILMED-D-13-00483
        NLM25102549
        109674923
      ppf: 47
      ppct: 8
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: The challenge of undiagnosed sleep apnea in low-risk populations: a decision analysis.
      aug:
        au:
          Bianchi, Matt T
          Hershman, Steven
          Bahadoran, Mahshid
          Ferguson, Matthew
          Westover, M Brandon
      sug:
        subj:
          Sleep Apnea, Obstructive Therapy
          Sleep Apnea, Obstructive Diagnosis
          Military Personnel
          Productivity
          Health Screening Economics
          Polysomnography Economics
          Human
          Continuous Positive Airway Pressure Economics
          Risk Factors
          Decision Support Techniques
          United States
          Sleep Apnea, Obstructive Economics
          Decision Trees
          Monitoring, Physiologic Economics
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
      ab: Objectives: Obstructive sleep apnea (OSA) may contribute to impaired performance among otherwise healthy active duty military personnel. We used decision analysis to evaluate three approaches to identifying and treating OSA in low-risk populations, which may differ from current standard practice for high-risk populations.Methods: We developed a decision tree to compare two simple strategies for diagnosis and management of sleep apnea in a low-risk population. In one strategy, a simple screening inventory was followed by conventional laboratory polysomnography (split-night), whereas the alternative strategy involved performing home testing in all individuals. This allowed us to weigh the costs associated with large-scale diagnostic approaches against the costs of untreated OSA in a small fraction of the population.Results: We found that the home testing approach was less expensive than the screen-then-test approach across a broad range of other important parameters, including the annual performance cost associated with untreated OSA, the prevalence of OSA, and the duration of active duty.Conclusions: Assuming even modest annual performance costs associated with untreated OSA, a population strategy involving large-scale home testing is less expensive than a screening inventory approach. These results may inform either targeted or large-scale investigation of undiagnosed OSA in low-risk populations such as active duty military.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N