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Why is it so difficult to sleep in a hospital? A systematic review of 229 studies found that inpatient sleep is repeatedly disrupted by noise, light, care-related interruptions, pain and anxiety. In a separate study of 2,005 patients across 39 hospitals, people reported sleeping 83 minutes less than they normally did at home. But the most useful question for hospitals may not be “How do we make patients sleep?” It may be “How much uninterrupted opportunity for sleep are we actually giving them?”
A hospital is supposed to be a place of recovery.
Then night arrives.
A monitor alarms. A door closes. A trolley passes. A blood-pressure cuff inflates. Medication is due. A laboratory sample is scheduled. Someone in the next room needs help.
The patient is in pain.
They need the toilet.
They are worried about tomorrow.
They finally fall asleep.
Then something else happens.
Patients often summarise the entire experience with one sentence:
“I couldn’t sleep.”
Research suggests that sentence hides several completely different problems.
And those problems should not all be solved in the same way.
Hospital Sleep in Five Numbers
229 studies
Burger and colleagues' systematic review included 229 studies. Of those, 153 investigated factors disturbing inpatient sleep and 102 were eligible for intervention meta-analysis.
Five broad disruptors appeared repeatedly:
noise, light, care-related interruptions, pain and anxiety.
View the systematic review on PubMed
83 minutes less sleep
Wesselius and colleagues studied 2,005 patients across 39 hospitals.
Patients reported an average of:
7 hours 27 minutes of sleep at home
but only:
6 hours 4 minutes in hospital.
That is:
83 minutes less sleep.
View the study in JAMA Internal Medicine
3.3 awakenings instead of 2.0
The same patients reported an average of:
2.0 nocturnal awakenings at home
and:
3.3 during hospitalisation.
They also woke for the final time approximately 44 minutes earlier, while reported sleep efficiency fell from roughly 88% at home to 76% in hospital.
Hospital sleep was therefore not simply shorter.
It was more fragmented.
70.4% awakened by an external cause
More than seven in ten patients in the same study said an external event had caused their final awakening.
Hospital staff were identified as the cause by 35.8% of patients.
That does not mean hospital staff are “the problem”.
Much of what clinicians do overnight is necessary care.
It means the organisation of night-time care deserves scrutiny.
61–66 dB in ICU studies
A 2026 systematic review covering 72 hospital-noise studies reported typical measured levels of approximately 61–66 dB in intensive care units and around 63 dB in inpatient wards.
Patient-staff conversations and medical-equipment alarms were among the most frequently reported noise sources.
View the 2026 hospital-noise review
These numbers come from different populations, settings and methodologies.
They do not describe one universal hospital night.
Together, however, they reveal something important:
Hospital sleep is disrupted by the interaction between illness, clinical care and the environment.
Quick Answer: Why Can’t Patients Sleep in Hospitals?
Patients often struggle to sleep in hospital because multiple disturbances occur simultaneously.
Some come from the patient:
pain, anxiety, dyspnoea, nausea, discomfort, cough and toileting needs.
Some come from clinically necessary care:
monitoring, medication, neurological observations, respiratory treatment and urgent intervention.
Others may be more modifiable:
routine night-time observations, fragmented room entries, unnecessary noise, excessive light, alarm burden and poor room workflow.
The most useful distinction is therefore:
necessary disruption versus potentially avoidable disruption.
A deteriorating patient should be awakened.
A clinically stable patient should not necessarily be awakened simply because a default routine has never been reconsidered.
Sleep Is Not the Same as Sleep Opportunity
This distinction may be one of the most useful developments in hospital-sleep research.
A hospital cannot guarantee that a patient will sleep.
The patient may remain awake because of:
pain,
anxiety,
disease symptoms,
medication effects,
a pre-existing sleep disorder,
or simply because sleeping in an unfamiliar place is difficult.
But hospitals can influence something else:
the opportunity for uninterrupted sleep.
What is sleep opportunity?
Sleep opportunity is the period during which a patient has a realistic chance to sleep without clinical activity repeatedly interrupting that opportunity.
In 2026, Kadura and colleagues recruited 247 inpatients and examined three measures that could be derived from electronic health-record data:
LUSO — Longest Uninterrupted Sleep Opportunity
TUSO — Total Uninterrupted Sleep Opportunity
PSI — Patient-Staff Interactions
They calculated the measures within both a fixed hospital-defined night of 23:00–06:00 and each patient's own period from lights out to final awakening.
The difference was revealing.
Reported sleep duration correlated much more strongly with patient-defined TUSO than with TUSO calculated from the fixed hospital-night window:
r = 0.63
versus:
r = 0.27.
View the 2026 sleep-opportunity study
That suggests a deceptively simple idea:
The patient's night may be more informative than the hospital's definition of night.
A Hospital Can Protect Sleep Opportunity. It Cannot Guarantee Sleep.
That is an important distinction for both clinical teams and hospital designers.
Hospitals can influence:
when people enter a room,
whether routine care can be clustered,
whether non-essential activities can be rescheduled,
how much light is used,
how much avoidable noise reaches the patient,
how furniture affects night-time access,
and whether a patient receives meaningful uninterrupted periods without clinical interaction.
Hospitals cannot guarantee that:
pain disappears,
anxiety disappears,
disease symptoms disappear,
or every patient falls asleep immediately.
The goal should therefore not be:
“Make every inpatient sleep eight hours.”
A more realistic objective is:
“Do not unnecessarily reduce the opportunity the patient has to sleep.”
The Hospital Night Disruption Model
Published research contains dozens of specific sleep disruptors.
For practical hospital use, they can be organised into five layers.
This is an editorial framework for interpreting the research, not a validated clinical classification.
1. Patient factors
These originate primarily from the patient's condition.
Pain.
Dyspnoea.
Cough.
Nausea.
Fever.
Anxiety.
Urinary urgency.
Postoperative discomfort.
Medication effects.
Fear.
Pre-existing sleep disorders.
Many of these cannot simply be “designed away”.
2. Necessary clinical care
Some overnight disturbance is an unavoidable consequence of safe treatment.
Depending on the patient's condition, they may genuinely require:
frequent vital-sign monitoring,
oxygen assessment,
neurological checks,
medication,
blood sampling,
blood-glucose monitoring,
respiratory therapy,
repositioning,
or urgent intervention.
Sleep protection must never override clinical need.
3. Potentially schedulable clinical care
This is where improvement becomes possible.
Some activities happen overnight because the patient's condition requires them.
Others may happen because:
“That is when we always do it.”
Routine observations.
Non-urgent laboratory sampling.
Certain medication schedules.
Separate room entries for tasks that might be safely coordinated.
These should be reconsidered patient by patient, not universally abolished.
4. Environmental disruption
Noise.
Light.
Alarms.
Doors.
Conversations.
Other patients.
Equipment movement.
Cleaning.
Temperature.
Corridor activity.
5. Room and workflow friction
This is often less obvious.
The overbed table has to be moved every time care is provided.
A relative's sleeper blocks clinical access.
The patient cannot reach water or glasses.
Equipment has no predictable parking location.
Three staff members enter separately for tasks that could potentially have been coordinated.
Individually, these may look trivial.
Repeated over an entire night, they become part of the sleep environment.
What Actually Wakes Hospital Patients?
Noise gets enormous attention.
Patients do not always rank it first.
Grossman and colleagues surveyed 166 hospital patients, 37 nurses and 28 physicians about perceived night-time sleep disruptions.
Patients identified the following among the leading disruptors:
Pain: 46%
Vital signs: 39%
Tests: 34%
Noise: 27%
Medications: 25%
Patients, nurses and physicians broadly agreed that pain, vital signs and tests were the three leading disruptors.
That changes the usual story.
The hospital sleep problem is not simply:
“Hospitals are too loud.”
Sometimes the patient cannot sleep because of illness.
Sometimes because of treatment.
Sometimes because of when treatment occurs.
Sometimes because of the environment surrounding the treatment.
Pain deserves particular attention
In Grossman and colleagues' analysis, pain was also associated with less objectively measured sleep after adjustment.
That does not mean pain explains every hospital sleep problem.
It means an environmental sleep programme should never distract from basic clinical care.
A silent corridor does not treat uncontrolled pain.
Hospital Sleep Is Not Just Shorter. It Is More Fragmented.
The Wesselius study gives one of the clearest large-scale pictures.
At home:
7 hours 27 minutes total sleep
2.0 awakenings
88% sleep efficiency
In hospital:
6 hours 4 minutes total sleep
3.3 awakenings
76% sleep efficiency
Patients also woke approximately 44 minutes earlier than usual.
This distinction matters.
A patient might technically spend seven or eight hours in bed and still receive poor-quality sleep if that period repeatedly breaks into short fragments.
Hospital sleep planning therefore needs to consider not only:
How many hours were available?
but also:
How long could the patient remain undisturbed?
Why Hospital Noise Matters
The human sleeping brain does not experience sound only as an average decibel value.
A hospital night contains both:
continuous background sound,
and sudden individual events.
An otherwise relatively quiet room may still contain alarms, conversations, closing doors or equipment sounds capable of producing arousals.
What do real hospital studies measure?
Pazani-Kohaki and colleagues' 2026 review included 72 studies published between 2012 and 2024.
Reported noise levels were typically:
61–66 dB in ICUs
and:
approximately 63 dB in inpatient wards.
The most frequently reported sources included patient-staff conversations and medical-equipment alarms.
Most interventions reduced noise to some degree, yet levels generally remained above recommended targets.
Another 2026 systematic review found mean equivalent hospital sound levels ranging from 43 to 75.8 dB(A), with peak values reaching as high as 100 dB(A) in some included environments.
That does not mean every ward reaches 100 dB.
It shows how wide the acoustic range can be.
What is creating the noise?
Common sources across the literature include:
clinical alarms,
staff conversations,
other patients,
medical equipment,
doors,
telephones,
cleaning activity,
patient transport,
carts and trolleys,
and ventilation or building services.
This is why a hospital cannot solve its acoustic problem with a poster saying:
QUIET PLEASE
A loud conversation is a behavioural problem.
A rattling trolley is an equipment problem.
Alarm overload is a monitoring-system problem.
Poor acoustic isolation may be a building problem.
Different sources require different interventions.
Hospitals Cannot Simply Become Silent
Imagine a perfectly silent hospital night.
No alarms.
No observations.
No medication rounds.
No staff conversations.
Nobody enters the room.
That may sound good for sleep.
It would not necessarily be good healthcare.
The goal cannot be silence.
The goal is:
less avoidable disturbance around necessary care.
That may mean:
better alarm management,
quieter equipment,
maintenance,
different staff behaviours,
better task lighting,
better acoustic materials,
or fewer unnecessary room entries.
Light Is More Than an On/Off Switch
Human sleep and circadian timing respond to the pattern of light exposure across 24 hours.
Hospitals can weaken that pattern in both directions.
The patient may experience relatively weak daytime light.
Then, at night, the entire room may be illuminated each time care is delivered.
The biological distinction between day and night becomes less clear.
What happened when researchers changed patient-room lighting?
Giménez and colleagues conducted a controlled study involving 196 cardiology patients.
Intervention rooms used a dynamic 24-hour lighting system with stronger daytime illumination and restricted nocturnal exposure.
Subjective sleep ratings did not significantly differ between the groups.
That limitation matters.
However, objective actigraphy showed an increasing sleep-duration advantage during hospitalisation.
By approximately day five, the estimated difference was around:
29 minutes
or roughly:
7.3% longer sleep duration
in the intervention condition.
This does not establish one universally optimal lighting system.
It suggests that hospital lighting should be considered as a 24-hour biological environment, not merely as a question of whether the light is switched off at midnight.
Care Itself May Be the Hardest Sleep Problem
Many hospital-night disruptions look completely normal on a schedule.
Vital signs.
Medication.
Laboratory work.
Blood-glucose checks.
Neurological observations.
IV care.
Respiratory treatment.
Routine rounds.
Some are essential.
Others may be open to reconsideration.
Can Non-Essential Night-Time Care Be Rescheduled?
For selected patients, yes.
Parra-Avila and colleagues published a randomised controlled trial in 2026 involving 51 hospitalised adults.
Where clinically appropriate, the intervention rescheduled non-essential nocturnal procedures including routine vital-sign checks, medication administration and laboratory sampling.
The intervention group recorded geometric mean total sleep time of approximately:
398 minutes
compared with:
301 minutes
in the control group.
Estimated REM sleep duration was also longer, subjective sleep quality improved and recorded nocturnal awakenings were eliminated by the second intervention night.
Those results are impressive.
The study is also small.
The responsible conclusion is therefore not:
“Stop doing night-time observations.”
It is:
When night-time activity is genuinely non-essential and can safely be rescheduled, substantial sleep improvements may be possible.
What About Routine Overnight Vital Signs?
Najafi and colleagues tested a clinical decision-support approach in 1,699 general medical patients.
The system helped clinicians identify patients with a high probability of stable overnight vital signs and gave them the option to discontinue routine night-time checks.
Average overnight vital-sign measurements decreased.
The intervention did not significantly reduce delirium, its primary outcome.
Importantly, investigators did not observe an increase in ICU transfers, while code-blue events were not significantly increased.
View the randomised clinical trial
Again, the lesson is not:
“Do not measure vital signs at night.”
It is:
“Does this particular clinically stable patient still require the default monitoring schedule?”
SIESTA: 44% Fewer Night-Time Room Entries
Arora and colleagues developed Sleep for Inpatients: Empowering Staff to Act, or SIESTA.
The programme combined electronic nudges encouraging sleep-friendly orders with interprofessional education.
In the enhanced SIESTA unit, night-time room entries fell by:
44%.
Patients were also more likely to report no disruption from night-time vital signs or medication administration.
The concept is simple:
Do not enter automatically when there is no clinical reason to do so.
Human-Centred Design Shows Why This Is Harder Than It Sounds
Knowing what disturbs sleep is not the same as changing hospital behaviour.
Catley and colleagues' 2024 JAMA Network Open quality-improvement project used human-centred design with patients and hospital staff.
The project involved more than 100 hours of observation and iterative codesign.
Interventions included combinations of:
education,
noise and light reduction,
sleep-friendly monitoring and testing,
task lighting,
patient sleep preferences,
sleep kits,
white-noise devices,
and environmental changes.
After implementation, mean sleep opportunity increased from:
4.94 hours
to:
5.10 hours per patient-night.
That equals approximately:
9.6 additional minutes.
Excessive noise events also fell.
But total clinical interruptions did not significantly decrease.
View the JAMA Network Open study
That may be one of the most useful findings in the entire literature.
The environment can sometimes be changed relatively quickly.
Deeply embedded clinical workflow may be harder to change.
Giving a patient a sleep kit may be easier than changing why somebody enters the room at 02:00.
Why “Sleep Bundle” Is Not a Magic Phrase
A hospital sleep bundle might include:
eye masks,
earplugs,
quiet hours,
white noise,
task lighting,
pain assessment,
rescheduled care,
clustered observations,
patient sleep preferences,
or environmental changes.
The difficulty is that these interventions operate on different causes.
A sleep mask can reduce light.
It cannot treat pain.
Earplugs may reduce perceived sound.
They do not solve an unnecessary blood draw.
Quiet hours can change behaviour.
They cannot fix an alarm-management system.
The strongest sleep programme therefore begins with:
What is actually disrupting sleep on this ward?
not:
Which sleep bundle did another hospital use?
Do Eye Masks and Earplugs Work?
For some patients, yes.
Fang and colleagues' systematic review and meta-analysis included 13 studies and 797 ICU patients.
Across the studies, the interventions improved self-reported sleep quality overall.
Subgroup analysis found that earplugs alone did not show a statistically significant effect, while eye masks alone and combined eye masks plus earplugs showed stronger effects.
But they are not suitable for everyone.
Some patients need to hear staff clearly.
Some are confused.
Some dislike earplugs.
Some require frequent examination.
They are useful tools.
They are not universal prescriptions.
What About Music, Relaxation and Other Non-Drug Interventions?
Beswick and colleagues' 2023 systematic review included:
76 studies
5,375 randomised participants
and:
85 interventions.
The interventions included physical sleep aids, relaxation, manual therapy, music, psychological approaches, light therapy and sleep protocols.
Meta-analysis found improvements in sleep quality across several categories, including physical sleep aids, relaxation, music and manual therapies.
Burger and colleagues' broader 229-study review also found promising pooled effects for approaches including eye masks and earplugs, headphones or white noise, massage, relaxation and advanced nursing strategies.
However, certainty of evidence ranged from moderate to very low depending on the intervention.
The conclusion is not:
“These are proven solutions for every patient.”
It is:
There are multiple promising non-pharmacological tools, but no universal hospital sleep hack.
Pain, Anxiety and Illness Still Come First
Hospital-sleep content can become too fascinated with room design.
The patient may simply hurt.
Or struggle to breathe.
Or fear tomorrow's procedure.
The Society of Anesthesia and Sleep Medicine's position paper on patient sleep during hospitalisation argues that the issue deserves greater institutional attention and describes hospital sleep disruption as involving physiological, psychological, environmental and care-related factors.
That professional perspective reinforces the larger point:
Hospital sleep is not an interior-design problem.
It is a clinical and operational problem with environmental components.
The Toilet Problem Is More Important Than It Sounds
In the 39-hospital study, toilet visits were among the commonly reported causes of nocturnal awakening.
For an older, postoperative or mobility-limited patient, needing the toilet can mean:
wake,
find the call control,
wait for help,
turn on a light,
adjust the bed,
manage covers and lines,
transfer,
walk or receive assistance,
return,
reposition,
and try to fall asleep again.
A small physiological need can become a long interruption.
This is where sleep intersects with mobility, fall prevention and patient-room usability.
Optium's article on prolonged time in bed explores the wider effects associated with extended hospitalisation:
What Happens to Your Body After 7 Days in a Hospital Bed?
What Hospitals Can Actually Control
Hospitals cannot control every reason a patient stays awake.
They can measure and influence several things.
Longest uninterrupted sleep opportunity
What was the longest period during the patient's own intended night without a documented clinical interaction?
This is conceptually similar to LUSO in the Kadura study.
Total uninterrupted sleep opportunity
Across the patient's intended sleep window, how much uninterrupted opportunity remained?
Patient-specific TUSO correlated more strongly with reported sleep duration than the generic 23:00–06:00 window in the 2026 study.
Patient-staff interactions
How many occurred during the patient's sleep window?
Not every interaction is undesirable.
The count becomes useful when combined with the reason.
Separate room entries
Could several clinically appropriate tasks have safely been coordinated?
Noise peaks
What caused the loudest events?
Alarm?
Door?
Conversation?
Cart?
Other patient?
Equipment?
Patient-reported cause
Ask:
“What woke you most?”
Do not assume it was noise.
Potentially schedulable disruptions
How many overnight activities occurred because the patient clinically required them?
How many occurred because of a default routine?
This transforms sleep improvement from:
“Please be quieter”
into:
“Here is what actually happens during our hospital night.”
Measure Sleep Opportunity Without Pretending You Measured Sleep
Electronic health records cannot tell a hospital with certainty whether someone was asleep.
They can help identify:
when clinical interactions occurred,
how long uninterrupted periods lasted,
when vital signs were recorded,
when medications were administered,
and when laboratory activity occurred.
Kadura and colleagues' approach is useful precisely because it treats those measures as sleep opportunity and disruption, not as a replacement for actigraphy or polysomnography.
A hospital can therefore ask:
“Did we give this patient a meaningful opportunity to sleep?”
without falsely claiming:
“We know exactly how much this patient slept.”
Patient-Room Design Is Part of the Night-Time Workflow
A room cannot treat insomnia.
It can still make night-time care easier or harder.
Consider an ordinary care interaction.
The nurse enters.
The overbed table is in the way.
A cabinet needs to be repositioned.
A family sleeper reduces access.
A mobile device has nowhere predictable to park.
The whole room is illuminated because no useful local task light is available.
Nothing in that sequence is dramatic.
Repeated several times during the night, it becomes part of the patient's sleep environment.
This is why patient-room furniture should be considered as a connected system rather than as unrelated catalogue items.
Optium's dedicated guide examines patient reach, caregiver access, cleaning and room organisation in more detail:
How Patient Room Furniture Shapes Recovery, Comfort and Satisfaction
Can Patient-Room Furniture Improve Sleep?
It should not be marketed that way.
A bedside cabinet is not an insomnia treatment.
An overbed table does not regulate circadian rhythm.
A hospital bed cannot eliminate anxiety.
Furniture can influence the conditions surrounding night-time care.
A patient who can reach:
water,
glasses,
hearing aids,
phone,
tissues,
and the nurse-call control
may require fewer requests for simple assistance.
A room with predictable furniture positions may also require less rearrangement during overnight care.
That is better room usability.
It is not proof of a sleep outcome.
Hospitals reviewing these functions can compare current bedside storage and table configurations here:
Bedside Cabinets & Overbed Tables
A Combined Bedside Unit Is Not Automatically Better
One option is to combine storage and overbed-table functions.
Optium's OCB 56 Bedside Cabinet with Overbed Table, for example, combines bedside storage and an integrated overbed-table function in one mobile unit.
View the OCB 56 Bedside Cabinet with Overbed Table
That does not mean it is the correct configuration for every room.
The hospital should still test:
patient reach,
bed articulation,
caregiver access,
cleaning,
available floor area,
and where the unit will sit during night-time care.
Product architecture should follow room workflow.
Not the reverse.
Hospital Rooms Should Be Tested at 02:00, Not Only at 14:00
During the day, a patient room can look spacious.
At night, it may contain:
a sleeping patient,
blankets,
personal belongings,
monitoring devices,
IV equipment,
a bedside unit,
an overbed table,
an overnight relative,
an opened sofa bed,
and staff who still need clinical access.
That is the room that matters.
A product can mathematically fit inside a room while the room itself remains operationally poor.
Optium's hospital-bed dimensions guide explores this difference between nominal product dimensions and functional room space:
Your Hospital Bed Is 200 × 90 cm. So Why Doesn’t It Fit?
Family Presence Changes the Hospital Night
A family member may provide reassurance, orientation and emotional support.
But overnight accommodation also changes the geometry of the room.
A sofa that looks harmless during the day can have an entirely different footprint once opened.
That can affect:
staff access,
equipment movement,
bathroom circulation,
and other night-time activity.
Optium's sofa-bed guide looks specifically at the point where daytime seating becomes overnight accommodation:
Hospital Sofa Bed for Patient Rooms
The relevant design question is not:
“Can the sofa turn into a bed?”
It is:
“Does the patient room still function after it does?”
Beds, Cabinets and Tables Should Be Specified as a Room System
The same systems principle applies to the hospital bed.
Beds, cabinets, tables, seating and mobile equipment all compete for space around the same patient.
Optium's manual-bed guide approaches bed selection through clinical need, caregiver workflow, mobility, cleaning and room compatibility rather than simply counting mechanisms:
Manual Hospital Bed Buying Guide
For larger fleets, standardisation can reduce complexity, but forcing one configuration into every clinical environment can create a different form of friction:
Hospital Bed Standardization Guide
The same principle applies to the hospital night:
standardise what benefits from predictability while preserving variation that real clinical care requires.
What Actually Works? An Evidence and Implementation View
There is no universal winner.
The best intervention depends on what is causing the disturbance.
Review potentially non-essential overnight care
Recent randomised evidence shows that clinically appropriate rescheduling of routine night-time activity can substantially improve sleep, although the strongest new trial involved only 51 patients.
Potential impact: high
Implementation difficulty: moderate to high
Main limitation: patient selection and clinical safety.
Reduce avoidable room entries
SIESTA reduced night-time room entries by 44% in the enhanced intervention unit.
Potential impact: potentially high
Implementation difficulty: moderate
Main limitation: requires ordering and workflow behaviour to change.
Treat pain and symptoms
Pain repeatedly appears among the leading patient-reported sleep disruptors.
Potential impact: potentially high
Implementation difficulty: patient-specific
Main limitation: illness cannot always be made symptom-free.
Improve environmental noise
Noise interventions generally reduce measured sound, but systematic-review evidence suggests that hospital environments may remain noisy even after intervention.
Potential impact: moderate
Implementation difficulty: ranges from simple behaviour changes to major engineering work.
Improve the light-dark cycle
Controlled lighting research shows promising objective effects, but does not yet provide one universal hospital-lighting prescription.
Potential impact: moderate
Implementation difficulty: moderate to high.
Offer eye masks and earplugs selectively
Meta-analysis supports benefit in selected ICU populations, particularly for eye masks and combined eye-mask plus earplug approaches.
Potential impact: modest to meaningful for suitable patients
Implementation difficulty: low
Main limitation: does not address clinical interruptions, symptoms or every environmental cause.
Use broader non-pharmacological strategies where appropriate
Relaxation, music, physical sleep aids and several other approaches show positive evidence across systematic reviews.
Potential impact: variable
Implementation difficulty: often low to moderate
Main limitation: heterogeneous evidence and patient preferences.
Personalise the night
Human-centred hospital research suggests that anxiety, uncertainty, loss of control and individual preferences also belong in the sleep discussion.
Potential impact: variable
Implementation difficulty: low to moderate
Main limitation: requires reliable execution, not merely a checklist.
Quiet Hours Are Not Enough
Imagine a hospital declaring:
QUIET HOURS: 22:00–06:00
Voices become softer.
Corridor lighting dims.
Meanwhile:
routine observations remain scattered,
laboratory work still occurs at several different times,
alarm burden is unchanged,
pain remains uncontrolled,
and three staff members enter independently for three routine activities.
The environment looks sleep-friendly.
The workflow is not.
Quiet hours may help.
They cannot substitute for redesigning the hospital night.
A 10-Minute Hospital Night Audit
Before buying acoustic panels, sleep kits or new furniture, observe the actual night.
Minute 1: Count room entries
How many times does somebody enter?
Minute 2: Record why
Medication?
Vital signs?
Laboratory work?
Patient request?
Clinical deterioration?
Cleaning?
Routine rounding?
Minute 3: Separate necessary from potentially schedulable care
Do this with the clinical team.
Never classify an activity as unnecessary based on observation alone.
Minute 4: Find the longest uninterrupted window
What was the longest period without a documented clinical interaction?
This approximates the concept behind LUSO.
Minute 5: Count patient-staff interactions
How many occurred inside the patient's intended sleep period?
Minute 6: Identify major noise events
What produced them?
Alarm?
Conversation?
Door?
Cart?
Another patient?
Equipment?
Minute 7: Watch the light
Does every night-time task require illuminating the whole room?
Could suitable task lighting allow care with less environmental disruption?
Minute 8: Watch the room
Does furniture need to be moved before staff can reach the patient?
Does overnight family accommodation obstruct clinical access?
Minute 9: Ask the nurse
“What regularly wakes patients here that we might realistically change?”
Minute 10: Ask the patient
“What woke you most last night?”
Those answers may be completely different.
That difference may be the most valuable finding of the audit.
What Should Hospitals Measure Over Time?
A mature sleep-improvement programme should not rely on one satisfaction question.
Hospitals could consider monitoring:
patient-reported sleep quality
patient-reported cause of awakening
longest uninterrupted sleep opportunity
total uninterrupted sleep opportunity
patient-staff interactions
separate night-time room entries
routine overnight vital-sign frequency in stable patients
major noise events
night-time medication and laboratory timing
use of sleep-support interventions
patient sleep preferences
No individual metric proves that the patient slept well.
Together, they describe the hospital night much better than:
“Was the ward quiet?”
What We Know
Hospital patients commonly report shorter and more fragmented sleep than they experience at home.
In the large multicentre Wesselius study, hospital sleep was 83 minutes shorter, awakenings were more frequent and sleep efficiency was lower.
Hospital sleep disturbance is multi-factorial.
The 229-study systematic review repeatedly identified:
noise, light, care-related interruptions, pain and anxiety.
Patients may rank pain, observations and tests above noise as sleep disruptors.
Hospital-noise measurements frequently remain high relative to sleep-oriented recommendations.
Some clinically non-essential overnight activities can be reorganised for appropriately selected patients.
Human-centred redesign can improve sleep opportunity and environmental conditions, while changing deeply embedded clinical interruption patterns may prove harder.
Electronic health-record data may also allow hospitals to quantify sleep opportunity and overnight disruption at scale without pretending to measure sleep itself.
What We Do Not Know
We do not know one ideal amount of hospital sleep that applies to every patient.
We do not know that every night-time awakening should be prevented.
We do not know that less staff interaction is automatically better.
We do not know that lowering noise alone solves inpatient sleep.
We do not know that one sleep bundle works equally well across medicine, surgery, intensive care, maternity and rehabilitation.
We do not know that improving sleep opportunity automatically improves every clinical outcome.
We do not know that a particular hospital bed, cabinet, light or room configuration independently improves sleep.
And we should not imply otherwise.
A quiet hospital is not automatically a good hospital night.
A safe, clinically appropriate night with less unnecessary disruption is a much better target.
Frequently Asked Questions About Sleep in Hospitals
Why can’t patients sleep in hospitals?
Hospital sleep is commonly disrupted by a combination of illness and the care environment. Systematic-review evidence repeatedly identifies noise, light, care-related interruptions, pain and anxiety among the main contributors.
How much sleep do hospital patients lose?
There is no universal amount. In a study of 2,005 patients across 39 hospitals, patients reported 83 minutes less sleep in hospital than they normally obtained at home.
How many hours do hospital patients sleep?
The same large study found approximately 6 hours 4 minutes of hospital sleep compared with 7 hours 27 minutes at home. Other wards and patient populations can produce different results.
What wakes hospital patients most often?
It depends on the population. In one study of 166 hospital patients, pain was reported by 46%, vital signs by 39%, tests by 34%, noise by 27% and medications by 25%.
What is sleep opportunity in a hospital?
Sleep opportunity describes the period during which a patient has a realistic chance to sleep without clinical activity interrupting that period. Recent research has examined measures such as longest uninterrupted sleep opportunity, total uninterrupted sleep opportunity and patient-staff interactions.
Are hospitals too noisy at night?
Many measured hospital environments are noisy relative to sleep-oriented recommendations. A 2026 systematic review reported typical measured levels of approximately 61–66 dB in ICUs and around 63 dB in inpatient wards.
Why do nurses wake patients at night?
Many awakenings are medically necessary for monitoring, medication or treatment. Others may result from routine schedules that can sometimes be reconsidered for clinically stable patients. The goal should never be to eliminate necessary care.
Can hospitals reduce overnight vital-sign checks?
For selected clinically stable patients, potentially. Randomised research using decision support has reduced routine overnight vital-sign monitoring without an observed increase in ICU transfers, although the intervention did not significantly improve its primary delirium outcome.
Do eye masks and earplugs help?
They can help selected patients. A meta-analysis of 13 ICU studies involving 797 patients found an overall improvement in self-reported sleep, with stronger findings for eye masks and combined eye-mask plus earplug use than for earplugs alone.
Does changing hospital lighting improve sleep?
Possibly. A controlled study of 196 cardiology patients found progressively longer objectively measured sleep with dynamic lighting, although subjective sleep ratings did not significantly differ.
Does poor hospital sleep slow recovery?
Sleep is physiologically important, but the relationship between inpatient sleep disturbance and specific clinical outcomes is complex. It is safer to say that avoidable sleep disruption is worth reducing than to claim that one bad hospital night directly delays healing.
How can hospitals improve patient sleep?
Start by identifying what is actually disrupting sleep locally. Address pain and symptoms, protect sleep around necessary care, reconsider non-essential night-time activities where clinically safe, reduce avoidable noise and light, improve room workflow and offer appropriate non-pharmacological sleep aids to suitable patients.
The Most Important Question at 02:00
A patient wakes.
Why?
Their oxygen saturation fell.
They needed pain relief.
A time-critical medication was due.
Their neurological condition required reassessment.
Those awakenings belong to healthcare.
Now imagine another night.
The room was entered three times for three routine tasks.
The whole room was illuminated because there was no suitable task light.
A routine observation continued because nobody had reconsidered the schedule.
Furniture had to be moved before staff could approach the patient.
The patient pressed the call button because their water was out of reach.
Those awakenings may be different.
They may represent opportunities.
That is the central lesson hidden inside 229 studies and the newer research on measuring the hospital night.
Hospitals cannot guarantee sleep.
They can protect the opportunity for it.
That requires distinguishing:
illness from environment
necessary care from inherited routine
unavoidable disruption from operational friction
sleep itself from sleep opportunity.
The best sleep-friendly hospital is not a hospital where nothing happens at night.
It is a hospital where what happens at night has a reason.
Key References
Burger P, Van den Ende ES, Lukman W, et al. (2023). How to improve inpatient sleep in regular care wards: a systematic review and meta-analysis of sleep disturbers and non-pharmacological interventions. Acute Medicine.
Included 229 studies; 153 investigated sleep disruptors and 102 were eligible for intervention meta-analysis.
PubMed
Wesselius HM, van den Ende ES, Alsma J, et al. (2018). Quality and Quantity of Sleep and Factors Associated With Sleep Disturbance in Hospitalized Patients. JAMA Internal Medicine.
Included 2,005 patients across 39 hospitals; reported hospital sleep was 83 minutes shorter than habitual sleep at home.
JAMA Internal Medicine
Grossman MN, Anderson SL, Worku A, et al. (2017). Awakenings? Patient and Hospital Staff Perceptions of Nighttime Disruptions and Their Effect on Patient Sleep. Journal of Clinical Sleep Medicine.
Patients, nurses and physicians identified pain, vital signs and tests among the leading disruptors.
PubMed
Kadura S, Lopa SH, Oldham M, Pink L, Mazzotti DR, Patel SR. (2026). Defining the Hospital Night: Deriving and Validating Electronic Health Record-Based Measures of the Inpatient Sleep Experience. Sleep.
Evaluated LUSO, TUSO and patient-staff interactions in 247 inpatients.
PubMed
Catley CD, Paynter K, Jackson K, et al. (2024). Redesigning the Hospital Environment to Improve Restfulness. JAMA Network Open.
Human-centred quality-improvement project; sleep opportunity increased from 4.94 to 5.10 hours per patient-night while total clinical interruptions did not significantly change.
JAMA Network Open
Pazani-Kohaki M, Yazdanfar SA, Lohrasbi L. (2026). A systematic review of noise pollution in hospitals. Journal of the Acoustical Society of America.
Reviewed 72 studies; reported typical noise levels of 61–66 dB in ICUs and approximately 63 dB in inpatient wards.
PubMed
Parra-Avila S, Santos-Macías JE, Garza-Silva A, et al. (2026). Effect of a nighttime medical order adjustment protocol on objective and subjective sleep quality in hospitalized adults: a randomized controlled trial. Sleep Advances.
Fifty-one patients; total sleep time approximately 398 vs 301 minutes.
PubMed
Najafi N, Robinson A, Pletcher MJ, Patel S. (2022). Effectiveness of an Analytics-Based Intervention for Reducing Sleep Interruption in Hospitalized Patients: A Randomized Clinical Trial. JAMA Internal Medicine.
Decision support was used to identify stable general-medical patients who might forgo routine overnight vital-sign checks.
PubMed
Arora VM, Machado N, Anderson SL, et al. (2019). Effectiveness of SIESTA on Objective and Subjective Metrics of Nighttime Hospital Sleep Disruptors. Journal of Hospital Medicine.
Night-time room entries fell by 44% in the enhanced intervention unit.
PubMed
Giménez MC, Geerdinck LM, Versteylen M, et al. (2017). Patient room lighting influences on sleep, appraisal and mood in hospitalized people. Journal of Sleep Research.
Controlled clinical study involving 196 cardiology patients.
PubMed
Fang CS, Wang HH, Wang RH, et al. (2021). Effect of earplugs and eye masks on the sleep quality of intensive care unit patients: A systematic review and meta-analysis. Journal of Advanced Nursing.
Included 13 studies involving 797 ICU patients.
PubMed
Beswick AD, Wylde V, Bertram W, Whale K. (2023). The effectiveness of non-pharmacological sleep interventions for improving inpatient sleep in hospital: A systematic review and meta-analysis. Sleep Medicine.
Included 76 studies, 5,375 randomised participants and 85 interventions.
PubMed
Hillman DR, Carlucci M, Charchaflieh JG, et al. (2023). Society of Anesthesia and Sleep Medicine Position Paper on Patient Sleep During Hospitalization. Anesthesia & Analgesia.
Professional-society position calling for greater attention to patient sleep during hospitalisation.
PubMed
Methodology and clinical note: The Hospital Night Disruption Model in this article is an editorial framework created to organise the evidence; it is not a validated clinical instrument. Sleep opportunity is not identical to actual sleep. Decisions about monitoring, medication timing, laboratory testing, pain management or any other overnight clinical activity must be individualised by qualified healthcare professionals.