Sleep

A cross-sectional validation study of the verran and snyder-halpern sleep scale and the factors influencing sleep questionnaire in Dutch hospitals.

TL;DR

The Dutch versions of the Verran and Snyder-Halpern Sleep Scale and the Factors Influencing Sleep Questionnaire are valid, reliable tools for assessing sleep quality and hygiene, and revealed suboptimal sleep conditions among Dutch hospital patients.

Key Findings

More than half of hospitalized patients reported poorer sleep quality in the hospital than at home.

  • 51% (n=354) of 693 respondents reported poorer sleep than at home.
  • The study population included patients from internal medicine and surgical wards in six Dutch teaching hospitals.
  • Over half of respondents were aged 50-74 years and stayed in multi-occupancy rooms for more than four nights.

The most commonly reported sleep disturbances in Dutch hospital wards included uncomfortable beds, pain, noisy ventilation, patient noise, and equipment alarms.

  • These disturbances were identified among 693 respondents completing the questionnaire.
  • Both environmental (noisy ventilation, equipment alarms) and patient-related (pain, patient noise) factors were prominent.
  • Uncomfortable beds were also among the top reported disturbances.

Confirmatory Factor Analysis supported a three-factor model for the Dutch VSH and a one-factor model for the Dutch FISQ.

  • CFA was conducted following COSMIN guidelines.
  • The VSH uses a visual analogue scale format.
  • The FISQ uses a 5-point Likert scale format.
  • Both instruments underwent a forward-backward translation process prior to validation.

Daytime sleep was significantly associated with more nighttime disturbance and lower sleep effectiveness.

  • Daytime sleep was linked to more disturbance (β=0.13 [95% CI: 0.03, 0.23]).
  • Daytime sleep was linked to lower sleep effectiveness (β=-0.11 [95% CI: -0.19, -0.03]).
  • Associations were identified through regression analyses of patient characteristics and sleep hygiene factors.

Fewer nighttime sleep hours were strongly associated with lower sleep effectiveness and increased sleep disturbance.

  • Fewer sleep hours were associated with lower sleep effectiveness (β=0.57 [95% CI: 0.48, 0.66]).
  • Fewer sleep hours were associated with increased disturbance (β=-0.59 [95% CI: -0.67, -0.50]).
  • These were among the strongest associations found in the regression analyses.

More frequent sleep interruptions were associated with higher sleep disturbance and increased need for sleep supplementation.

  • More frequent sleep interruptions were associated with higher sleep disturbance (β=-0.22 [95% CI: -0.30, -0.15]).
  • More frequent sleep interruptions were associated with increased need for sleep supplementation (β=-0.11 [95% CI: -0.21, 0.00]).
  • The confidence interval for the sleep supplementation association just includes zero, indicating a borderline association.

The Dutch translations of the VSH and FISQ were determined to be valid and reliable tools for assessing sleep quality and hygiene in Dutch hospital patients.

  • Validation followed COSMIN guidelines.
  • Both instruments underwent cross-cultural adaptation via forward-backward translation.
  • A total of 693 respondents completed the questionnaire across six Dutch teaching hospitals.
  • Psychometric properties were assessed including Confirmatory Factor Analysis.

What This Means

This research suggests that poor sleep is widespread among patients in Dutch hospitals, with more than half of the 693 patients surveyed reporting worse sleep in the hospital than at home. Common culprits included uncomfortable beds, pain, noisy ventilation, sounds from other patients, and equipment alarms. Patients staying in shared rooms for multiple nights were particularly affected. The study also found that daytime napping, fewer nighttime sleep hours, and frequent nighttime interruptions were all linked to worse overall sleep quality. The study also validated two sleep measurement tools — the Verran and Snyder-Halpern Sleep Scale (VSH) and the Factors Influencing Sleep Questionnaire (FISQ) — for use in Dutch hospitals. Using rigorous scientific methods, the researchers confirmed that Dutch-translated versions of both questionnaires are valid and reliable for measuring sleep quality and the factors that disturb it in hospital settings. This fills an important gap, as previously there were limited reliable tools available for this purpose in Dutch hospitals. This research suggests that hospitals could use these validated tools to systematically identify and address sleep problems among their patients. Since poor sleep can slow recovery and affect patient wellbeing, having reliable measurement tools is an important first step toward making targeted improvements to hospital sleep environments, such as reducing noise, managing pain better, and minimizing nighttime interruptions.

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Citation

Derks C, Cramer-Kruit J, Lodder P, de Vos A, van Oostveen C. (2026). A cross-sectional validation study of the verran and snyder-halpern sleep scale and the factors influencing sleep questionnaire in Dutch hospitals.. PloS one. https://doi.org/10.1371/journal.pone.0354633