Defining the Hospital Night: Deriving and Validating Electronic Health Record-Based Measures of the Inpatient Sleep Experience

Clicks: 1
ID: 317277
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #183 of 189 articles by views in Sleep & breathing = Schlaf & Atmung

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 189 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract Study Objectives To identify electronic health record (EHR)–derived sleep measures associated with the inpatient sleep experience during hospitalization. Methods We recruited 247 inpatients who completed the Karolinska Sleep Diary and the Potential Hospital Sleep Disruptions and Noise Questionnaire. Using EHR data, we derived three measures: longest uninterrupted sleep opportunity (LUSO), total uninterrupted sleep opportunity (TUSO), and patient-staff interactions (PSIs) calculated within two timeframes: a fixed window (23:00–06:00) and a patient-defined window (lights out to final awakening). We examined the associations between EHR-derived measures calculated within each window and sleep experience measures. Results Sleep duration correlated more strongly with patient-defined TUSO (r = 0.63, p < 0.001) than with fixed TUSO (r = 0.27, p < 0.001). Ratings of sleep continuity, refreshing sleep, and sound sleep were also associated with patient-defined TUSO (TUSO r = 0.15–0.23; all p < 0.05), supporting its construct validity as an indicator of sleep quality. Sleep disruption ratings were associated with EHR-derived measures of overnight activity, including PSI counts (r = 0.35 within fixed windows vs. r = 0.29 within patient-defined windows; both p < 0.001). Conclusions EHR-derived measures of sleep opportunity and interruption provide scalable tools for characterizing the inpatient sleep experience using routinely collected clinical data. Measures calculated within patient-defined windows show stronger associations with sleep duration and quality, while PSIs calculated within both window types show similar associations with perceived sleep disruption from overnight clinical workflows. These complementary approaches may inform strategies to reduce unnecessary nighttime disturbances and improve sleep in hospitalized patients.
Reference Key
openalex_W7164830736 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Sullafa Kadura, Samia Lopa, Mark Oldham, Lisa Pink, Diego R. Mazzotti, Sanjay R. Patel
Journal Sleep & breathing = Schlaf & Atmung
Year 2026
DOI
10.1093/sleep/zsag164
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.