1987International Journal of Technology Assessment in Health CareRequires access

The Assessment of a New Technology for Evaluating Respiratory Abnormalities in Sleep

German Nino‐Murcia, Donald L. Bliwise, Sharon Keenan, William C. Dement

Open publisher page 3 citations

Abstract

This study assessed the diagnostic utility of two technologies for evaluating respiratory abnormalities in sleep. We compared conventional polysomnography with a new, ambulatory microprocessor technology. Two key features of the comparison involved: (a) the use of multiple, skilled interpreters of each system; and (b) inter-rater agreement within the systems as a crucial test for the diagnostic utility of each. Results indicated that general categories of respiratory abnormalities could be judged more reliably than more specific categories, regardless of technology. For certain categories of respiratory abnormalities, however, inter-rater agreement with the newer technology was extremely low (e.g., reliability coefficients of .12, .09, and -0.6). Factors contributing to these low diagnostic reliabilities are discussed. Our data indicate that any assessment of new technology cannot be made apart from the clinical judgments to be rendered with that new technology. This approach may be generalizable to the assessment of other diagnostic technologies.

About this research paper

What this paper is about

This study assessed the diagnostic utility of two technologies for evaluating respiratory abnormalities in sleep. We compared conventional polysomnography with a new, ambulatory microprocessor technology. Two key features of the comparison involved: (a) the use of multiple, skilled interpreters of each system; and (b) inter-rater agreement within the systems as a crucial test for the diagnostic utility of each. Results indicated that general categories of respiratory abnormalities could be judged more reliably than more specific categories, regardless of technology. For certain categories of respiratory abnormalities, however, inter-rater agreement with the newer technology was extremely low (e.g., reliability coefficients of .12, .09, and -0.6). Factors contributing to these low diagnostic reliabilities are discussed. Our data indicate that any assessment of new technology cannot be made apart from the clinical judgments to be rendered with that new technology. This approach may be generalizable to the assessment of other diagnostic technologies.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This study assessed the diagnostic utility of two technologies for evaluating respiratory abnormalities in sleep. We compared conventional polysomnography with a new, ambulatory microprocessor technology. Two key features of the comparison involved: (a) the use of multiple, skilled interpreters of each system; and (b) inter-rater agreement within the systems as a crucial test for the diagnostic utility of each. Results indicated that general categories of respiratory abnormalities could be judged more reliably than more specific categories, regardless of technology. For certain categories of respiratory abnormalities, however, inter-rater agreement with the newer technology was extremely low (e.g., reliability coefficients of .12, .09, and -0.6). Factors contributing to these low diagnostic reliabilities are discussed. Our data indicate that any assessment of new technology cannot be made apart from the clinical judgments to be rendered with that new technology. This approach may be generalizable to the assessment of other diagnostic technologies.

Key concepts: Polysomnography, Reliability (semiconductor), Technology assessment, Medicine, Sleep (system call), Health technology, Respiratory system, Interpreter

Related papers

Back to paper searchBrowse research topicsOriginal source
The Assessment of a New Technology for Evaluating Respiratory Abnormalities in Sleep — Research Paper | ScholarLens