Sleep Quality in Adult Hospitalized Patients With Infection: An Observational Study

Patient-reported sleep and physical function during and after hospitalization

PURPOSE

Poor sleep is associated with morbidity and mortality in the community; however, the health impact of poor sleep during and after hospitalization is poorly characterized. Our purpose was to describe trends in patient-reported sleep and physical function during and after hospitalization and evaluate sleep as a predictor of function after discharge.

METHODS

This is a secondary analysis of trial data with 232 adults followed for 3months after hospital discharge. Main measures were patient-reported surveys on sleep (Pittsburgh Sleep Quality Index) and physical function (Katz Activities of Daily Living, Lawton Instrumental Activities of Daily Living, and Nagi Mobility Scale) were collected during hospitalization and at 1, 5, 9, and 13weeks postdischarge.

RESULTS

Patient-reported sleep declined significantly during hospitalization and remained worse for 3months postdischarge (median Pittsburgh Sleep Quality Index=8 vs. 6, p < .001). In parallel, mobility declined significantly from baseline and remained worse at each follow-up time (median Nagi score=2 vs. 0, p < .001). Instrumental activities of daily living similarly decreased during and after hospitalization, but basic activities of daily living were unaffected. In adjusted time-series logistic regression models, the odds of mobility impairment were 1.48 times higher for each 1-point increase in Pittsburgh Sleep Quality Index score over time (95% CI 1.27-1.71, p < .001).

CONCLUSIONS

Patient-reported sleep worsened during hospitalization, did not improve significantly for 3months after hospitalization, and poor sleep was a significant predictor of functional impairment over this time. Sleep dysfunction that begins with hospitalization may persist and prevent functional recovery after discharge.

TRIAL REGISTRATION

The primary study was registered at ClinicalTrials.gov NCT03321279.

Society of Anesthesia and Sleep Medicine Position Paper on Patient Sleep During Hospitalization

This article addresses the issue of patient sleep during hospitalization, which the Society of Anesthesia and Sleep Medicine believes merits wider consideration by health authorities than it has received to date. Adequate sleep is fundamental to health and well-being, and insufficiencies in its duration, quality, or timing have adverse effects that are acutely evident. These include cardiovascular dysfunction, impaired ventilatory function, cognitive impairment, increased pain perception, psychomotor disturbance (including increased fall risk), psychological disturbance (including anxiety and depression), metabolic dysfunction (including increased insulin resistance and catabolic propensity), and immune dysfunction and proinflammatory effects (increasing infection risk and pain generation). All these changes negatively impact health status and are counterproductive to recovery from illness and operation. Hospitalization challenges sleep in a variety of ways. These challenges include environmental factors such as noise, bright light, and overnight awakenings for observations, interventions, and transfers; physiological factors such as pain, dyspnea, bowel or urinary dysfunction, or discomfort from therapeutic devices; psychological factors such as stress and anxiety; care-related factors including medications or medication withdrawal; and preexisting sleep disorders that may not be recognized or adequately managed. Many of these challenges appear readily addressable. The key to doing so is to give sleep greater priority, with attention directed at ensuring that patients' sleep needs are recognized and met, both within the hospital and beyond. Requirements include staff education, creation of protocols to enhance the prospect of sleep needs being addressed, and improvement in hospital design to mitigate environmental disturbances. Hospitals and health care providers have a duty to provide, to the greatest extent possible, appropriate preconditions for healing. Accumulating evidence suggests that these preconditions include adequate patient sleep duration and quality. The Society of Anesthesia and Sleep Medicine calls for systematic changes in the approach of hospital leadership and staff to this issue. Measures required include incorporation of optimization of patient sleep into the objectives of perioperative and general patient care guidelines. These steps should be complemented by further research into the impact of hospitalization on sleep, the effects of poor sleep on health outcomes after hospitalization, and assessment of interventions to improve it.

Hospital-acquired insomnia scale: A validity and reliability study

BACKGROUND

Sleep breathing, one of the basic human needs, is a physiological need that affects cardiac functions, body temperature, daily vitality, muscle tone, hormone secretion, blood pressure, and many more. In the international literature, studies reported that patients have had sleep problems in the hospital since the 1990s, but no measurement tool has been developed to determine the causes of hospital-acquired insomnia in individuals. These findings suggest that sleep remains in the background compared to activities such as nutrition and breathing. Although patients generally experience hospital-acquired sleep problems, there is no measurement tool to determine hospital-acquired sleep problems. These features show the originality of the research.

AIM

To develop a measurement tool to determine the sleep problems experienced by patients in the hospital.

METHODS

A personal information form, hospital-acquired insomnia scale (HAIS), and insomnia severity index (ISI) were used to collect research data. The study population consisted of patients hospitalized in the internal and surgical clinics of a research hospital in Turkey between December 2021 and March 2022. The sample consisted of 64 patients in the pilot application stage and 223 patients in the main application stage. Exploratory factor analysis and confirmatory factor analysis (CFA) analyses were performed using the SPSS 20 package program and the analysis of moment structure (AMOS) package program. Equivalent forms method used.

RESULTS

The HAIS consisted of 18 items and 5 subscales. The Cronbach alpha values of the subscales ranged between 0.672 and 0.842 and the Cronbach alpha value of the overall scale was 0.783. The scale explained 58.269% of the total variance. The items that constitute the factors were examined in terms of content integrity and named as physical environmental, psychological, safety, socioeconomic, and nutritional factors. CFA analysis of the 5-factor structure was performed in the AMOS package program. The fit indices of the obtained structure were examined. It was determined that the values obtained from the fit indices were sufficient. A significant correlation was determined between the HAIS and the ISI, which was used for the equivalent form method.

CONCLUSION

The HAIS is a valid and reliable measurement tool for determining patients’ level of hospital-acquired insomnia. It is recommended to use this measurement tool to determine the insomnia problems of patients and to adapt it in other countries.

Sleep Deprivation Is Associated With Increased Risk for Hypertensive Heart Disease: A Nationwide Population-Based Cohort Study

BACKGROUND

Literature documenting the in-hospital cardiovascular outcomes of sleep deprivation (SD) patients is scarce. We aimed to compare inpatient cardiovascular outcomes in patients with sleep deprivation and those without sleep deprivation.

METHOD

We queried the National Inpatient Sample (NIS) database from 2016 to 2019 to conduct a retrospective observational study. Using the International Classification of Diseases, Tenth Revision (ICD-10) codes, we identified patients with sleep deprivation (SD) diagnosis and compared them to their counterparts without sleep deprivation (NSD). The cardiovascular outcomes of interest were hypertensive heart disease (HHD), atrial fibrillation (AF), and ST-segment and non-ST-segment elevation myocardial infarction (STEMI and NSTEMI, respectively). We used multivariable regression analysis to unearth the relationship between sleep deprivation and cardiovascular disease.

RESULTS

There were 28,484,087 patients admitted during the study period, among which 2.1% (6,08,059) with a mean age of 59 (sd=19) years had a sleep deprivation diagnosis unrelated to medical or psychiatric illness. Of these, 75.7% were Caucasians, 11.5% were Blacks, and 8% were Hispanics. Individuals with sleep deprivation had a higher odds ratio (OR) of HHD, i.e., OR=1.3 (1.29-1.31), p<0.0001. The odds of heart failure with reduced ejection fraction (HFrEF) was 0.9 (0.9-1.92), p=0.45; heart failure with preserved ejection fraction (HFpEF) was 0.98 (0.97-1.01), p=0.31; and the odds of the SD population for AF was 0.9 (0.89-1.03), p=0.11.

CONCLUSION

Sleep deprivation seems to be more prevalent in the Caucasian population. Individuals with sleep deprivation have a higher risk of hypertensive heart disease but similar outcomes to the general population in terms of AF, HFrEF, and HFpEF.

Adding Insult to Injury: Sleep Deficiency in Hospitalized Patients

Sleep deficiency is a common problem in the hospital setting. Contributing factors include preexisting medical conditions, illness severity, the hospital environment, and treatment-related effects. Hospitalized patients are particularly vulnerable to the negative health effects of sleep deficiency that impact multiple organ systems. Objective sleep measurement is difficult to achieve in the hospital setting, posing a barrier to linking improvements in hospital outcomes with sleep promotion protocols. Key next steps in hospital sleep promotion include improvement in sleep measurement techniques and harmonization of study protocols and outcomes to strengthen existing evidence and facilitate data interpretation across studies.

Sleep monitoring challenges in patients with neurocognitive disorders: A cross-sectional analysis of missing data from activity trackers

Background and Aims

Activity monitors, such as Fitbits®, are being used increasingly for research purposes and data have been validated in healthy community-dwelling older adults. Given the lack of research in older adults with neurocognitive disorders, we investigated the consistency of sleep data recorded from a wrist-worn activity monitor in this population.

Methods

Fitbit® activity monitors were worn by hospitalized older adults as part of a parent study investigating sleep and step count in patients recovering from hip fracture surgery in a tertiary care academic hospital in Hamilton, Canada between March 2018 and June 2019. In this secondary analysis, we compared the proportion of missing sleep data between participants with and without a neurocognitive disorder and used a multivariable model to assess the association between neurocognitive disorder and missing sleep data.

Results

Of 67 participants included in the analysis, 22 had a neurocognitive disorder (median age: 86.5 years). Sleep data were missing for 47% of the neurocognitive disorder group and 23% of the non-neurocognitive disorder group. The presence of a neurocognitive disorder was associated with an increased likelihood of missing sleep data using the Fitbit® activity monitors (adjusted odds ratio: 3.41; 95% confidence interval: 1.06-11.73, p = 0.04).

Conclusion

The inconsistent nature of sleep data tracking in hospitalized older adults with neurocognitive disorders highlights the challenges of using interventions in patient populations who are often excluded from validation studies. As opportunities expand for activity monitoring in persons with neurocognitive disorders, novel technologies not previously studied in this group should be used with caution.

Time to Sleep?-A Review of the Impact of the COVID-19 Pandemic on Sleep and Mental Health

Sleep is intrinsically tied to mental and overall health. Short sleep duration accompanies the modern lifestyle, possibly reaching epidemic proportions. The pandemic and subsequent lockdowns determined a fundamental shift in the modern lifestyle and had profound effects on sleep and mental health. This paper aims to provide an overview of the relationship between sleep, mental health and COVID-19. Contrasting outcomes on sleep health have been highlighted by most reports during the pandemic in the general population. Consequently, while longer sleep durations have been reported, this change was accompanied by decreases in sleep quality and altered sleep timing. Furthermore, an increased impact of sleep deficiencies and mental health burden was generally reported in health care workers as compared with the adult general population. Although not among the most frequent symptoms during the acute or persistent phase, an increased prevalence of sleep deficiencies has been reported in patients with acute and long COVID. The importance of sleep in immune regulation is well known. Consequently, sleep deficiencies may influence multiple aspects of COVID-19, such as the risk, severity, and prognosis of the infection and even vaccine response.

Is it Noise? Factors Linked With Sleep Interruption in Hospitalized Patients

PURPOSE/AIM

The aim of this study was to explore the perceived quality of sleep and sleep disturbances in hospitalized patients.

DESIGN

A prospective descriptive, exploratory, cross-sectional study was conducted at a 172-bed community hospital in Northeast Ohio. A convenient sample of 100 hospitalized patients was recruited from medical/surgical, progressive care, and intensive care units.

METHODS

Participants used the Richards-Campbell Sleep Questionnaire to report sleep. A quality of sleep assessment survey was used to collect information regarding 17 factors leading to decreased quality of sleep.

RESULTS

Mean sleep score was 47.92 for each question regarding sleep depth, latency, awakenings, time spent awake, and overall sleep quality. Pearson's correlation showed a significantly positive correlation between measure of noise and sleep score. Five environmental factors were identified as most disruptive to sleep: pain, laboratory draws, staff, blood pressure checks, and intravenous alarms.

CONCLUSION

The positive correlation between sleeping well and higher noise levels is noteworthy. Raising awareness about the importance of sleep in the hospital setting and introducing interventions to promote a quiet environment and minimize sleep-disturbing factors may increase patient satisfaction scores and improve healing.

Sleep quality and sleep-disturbing factors of geriatric inpatients

PURPOSE

Insomnia, a common problem in older adults, may be precipitated by multiple factors including medical conditions, social, behavioral, and environmental factors. The aims of our study were to evaluate sleep pattern changes during hospitalization, determine the predictors of sleep quality and sleep disorders in geriatric inpatients.

METHODS

In this prospective observational study, all ≥ 65-year-old patients hospitalized in internal medicine wards were assessed at the time of hospitalization and after 1 week. Insomnia Severity Index and Pittsburgh Sleep Quality Index (PSQI) were used to define insomnia and subjective sleep quality. All patients underwent comprehensive geriatric assessment. Data of factors contributing sleep disturbances during hospitalization were recorded.

RESULTS

Totally 101 patients were recruited. Mean ± SD age was 73.5 ± 5.2 years and 53.5% were female. Frequency of poor sleepers was 58.4% at baseline and 64.7% after 1 week according to PSQI score (p 0.804). Although the total scores and frequency of insomnia did not change in the first week of hospitalization, sleep duration was significantly shortened (6.4 ± 2.6 h vs. 5.9 ± 2.7 h, respectively; p < 0.001). Age, pain, restless legs syndrome, Katz ADL, and Lawton-Brody IADL scores were independent correlates of insomnia during hospitalization.

CONCLUSION

The study showed that insomnia was associated with geriatric syndromes in hospitalized geriatric patients, and hospitalization reduced duration of sleep. Sleep quality and insomnia evaluation should be a fundamental part of assessment in hospitalized older adults. Considering the negative outcomes of insomnia, sleep disrupting factors should be identified and corrected.

Sleep Fragmentation and Cognitive Trajectories After Critical Illness

BACKGROUND

ICU survivors can experience both cognitive dysfunction and persistent sleep disturbances after hospitalization. Sleep disturbances have been linked with cognitive impairment in various patient populations, and the apolipoprotein E (APOE) genotype has been linked to sleep-related impairments in cognition.

RESEARCH QUESTION

Is there an association between sleep, long-term cognition, and APOE status in ICU survivors?

STUDY DESIGN AND METHODS

We enrolled 150 patients from five centers who had been mechanically ventilated for at least 3 days; 102 patients survived to ICU discharge. Actigraphy and cognitive testing were undertaken at 7 days, 6 months, and 12 months after ICU discharge, and sleep duration, quality, and timing were estimated by actigraphy. APOE single nucleotide polymorphisms were assessed for each patient.

RESULTS

Actigraphy-estimated sleep fragmentation, but not total sleep time or interdaily stability (estimate of circadian rhythmicity), was associated with worse cognitive impairment at 7 days of ICU discharge. No actigraphy-estimated variable of sleep estimation at 7 days post-ICU discharge predicted cognitive impairment or persistent sleep abnormalities at 6 and 12 months of follow-up in subsequently assessed survivors. Possessing the APOE ε4 allele was not significantly associated with sleep disturbances and its presence did not modify the risk of sleep-related cognitive impairment at follow-up.

INTERPRETATION

Sleep fragmentation estimated by actigraphy was associated with worse cognitive performance in hospital, but not at later time intervals. Further research is needed to better delineate the relationship between persistent sleep disturbances and cognition in larger numbers of ICU survivors.

TRIAL REGISTRY

ClinicalTrials.gov; No.: NCT02086877; URL: www.clinicaltrials.gov.

Effectiveness of SIESTA on Objective and Subjective Metrics of Nighttime Hospital Sleep Disruptors

We created Sleep for Inpatients: Empowering Staff to Act (SIESTA), which combines electronic "nudges" to forgo nocturnal vitals and medications with interprofessional education on improving patient sleep. In one "SIESTAenhanced unit," nurses received coaching and integrated SIESTA into daily huddles; a standard unit did not. Six months pre- and post-SIESTA, sleep-friendly orders rose in both units (foregoing vital signs: SIESTA unit, 4% to 34%; standard, 3% to 22%, P < .001 both; sleeppromoting VTE prophylaxis: SIESTA, 15% to 42%; standard, 12% to 28%, P < .001 both). In the SIESTAenhanced unit, nighttime room entries dropped by 44% (-6.3 disruptions/room, P < .001), and patients were more likely to report no disruptions for nighttime vital signs (70% vs 41%, P = .05) or medications (84% vs 57%, P = .031) than those in the standard unit. The standard unit was not changed. Although sleep-friendly orders were adopted in both units, a unit-based nursing empowerment approach was associated with fewer nighttime room entries and improved patient experience.

Evaluating Sleep in a Surgical Trauma Burn Intensive Care Unit: An Elusive Dilemma

BACKGROUND

Evidence points to the adverse effects of sleep deprivation on a person's health. Despite decades of attention to the issue, patients, particularly those in the intensive care unit (ICU), continue to suffer.

OBJECTIVE

The purpose of this pilot study was to examine patients' perceptions of their sleep experience in the surgical trauma burn ICU and identify contributing factors.

METHODOLOGY

Patients were administered the 6-question Richards-Campbell Sleep Questionnaire (RCSQ) consisting of a 0- to 100-mm scale, with a low score indicating poor sleep quality. They were also asked an additional open-ended question.

RESULTS

Sixty patients participated. Data revealed a low overall RCSQ score of 43.6 of 100. Of the 5 validated questions on the RCSQ, the question with the lowest mean (35.6) targeted depth of sleep. The question pertaining to falling asleep immediately scored the highest at 52.2. The open-ended question revealed that 37% reported "interruptions" as the reason for not sleeping. Pain was also cited as a factor by 30%, with 11.7% citing discomfort from the bed as an irritant. An additional 21.6% reported noise as the central reason, with "pumps/monitor" noise as the most frequent culprit at 62%.

DISCUSSION

The pilot study results demonstrate that most participants perceived their sleep as poor in quality. These results direct targeted interventions that can be incorporated to reduce sleep deprivation in ICUs.

Quality and Quantity of Sleep and Factors Associated With Sleep Disturbance in Hospitalized Patients

IMPORTANCE

Although inadequate sleep has a proven negative association with health care outcomes, to date, no large-scale studies have examined sleep in general hospital wards.

OBJECTIVES

To assess the subjective quantity and quality of sleep and to identify the hospital-related factors associated with sleep disturbances in hospitalized patients.

DESIGN

For this nationwide, single-day, multicenter, cross-sectional, observational study, which took place on February 22, 2017, all hospitals in the Netherlands were encouraged by word of mouth and conventional and social media to participate in this study. A total of 39 hospitals participated. Included patients were at least 18 years of age, were able to give informed consent, and had spent at least 1 night in a regular-care hospital ward.

EXPOSURES

Hospitalization in a regular-care ward.

MAIN OUTCOMES AND MEASURES

Quantity and quality of last night's sleep in the hospital compared with habitual sleep at home the month before hospitalization. The Consensus Sleep Diary and the Dutch-Flemish Patient-Reported Outcomes Measurement Information System (PROMIS) Sleep Disturbance item bank were used. Complementary questions assessed sleep-disturbing factors.

RESULTS

A total of 2005 patients were included (median age, 68 years; interquartile range, 57-77 years; 994 of 1935 [51.4%] were male [70 patients did not identify their sex]). Compared with habitual sleep at home, the total sleep time in the hospital was 83 minutes (95% CI, 75-92 minutes; P < .001) shorter. The mean number of nocturnal awakenings was 2.0 (95% CI, 1.9-2.1) times at home vs 3.3 (95% CI, 3.2-3.5) times during hospitalization (P < .001). Patients woke up 44 minutes (95% CI, 44-45 minutes; P < .001) earlier than their habitual wake-up time at home. A total of 1344 patients (70.4%) reported having been awakened by external causes, which in 718 (35.8%) concerned hospital staff. All aspects of sleep quality measured using PROMIS questions were rated worse during hospitalization than at home. The most reported sleep-disturbing factors were noise of other patients, medical devices, pain, and toilet visits.

CONCLUSIONS AND RELEVANCE

This study demonstrated that the duration and quality of sleep in hospitalized patients were significantly affected and revealed many potentially modifiable hospital-related factors negatively associated with sleep. Raising awareness about the importance of adequate sleep in the vulnerable hospital population and introducing interventions to target sleep-disturbing factors may improve healing.

Subjective sleep quality and its etiology in the emergency department

OBJECTIVE

Patient sleep quality has a significant impact on recovery. However, most hospital units do not provide an optimal environment for sleep and there are currently no data available on how well patients sleep during their emergency department stay. The main objective of this study was to assess the subjective quality of nighttime sleep and factors that affect sleep in the emergency department (ED).

METHODS

A prospective sample of patients aged 18 years and older who presented to the ED from July 2015 to October 2015 was investigated. All participants were on stretcher and slept at least one night in the ED. Participants were asked to complete a sleep questionnaire adapted to the ED environment on sleep quality and its potentially modifying factors.

RESULTS

A total of 235 patients participated in the study (mean age: 64±20 years, 51% women). Compared to the week at home prior to admission, subjective sleep quality was lower in the ED (p&lt;0.001): almost half the participants took more than 30 minutes to fall asleep, and they reported waking up 3.5 times per night on average. Lower subjective sleep quality in the ED was associated with higher stress, noise, and pain, as well as with stretcher comfort and lower home sleep quality the week prior to admission.

CONCLUSIONS

Subjective sleep quality in the emergency department is not optimal, and is influenced by stress, noise, pain, and stretcher comfort, all potentially modifiable factors.

New onset of insomnia in hospitalized patients in general medical wards: incidence, causes, and resolution rate

Background: Insomnia is common in hospitalized patients. However, no study has examined new onset of insomnia in patients without a prior history of insomnia.

Objectives: Incidence of new onset of insomnia in inpatients, associated factors and resolution rate after 2 weeks.

Method: This is a prospective observational study conducted at a community hospital. We used the Insomnia Severity Index questionnaire to screen for insomnia in all patients located in the general medical floors from day 3 to day 5 of their hospital stay. We excluded patients with a prior insomnia history.

Results: Out of the 205 patients who met the inclusion criteria, 75 patients (36%) reported insomnia. Severe insomnia was present in 3% of patients. Difficulty in maintaining sleep is the most common symptom. Frequent staff disruptions due to blood draws and vital signs checks were reported by 68% as the cause of insomnia, followed by illness associated causes (64%) and sleep disruption due to noise and or brightness (23%). Patients with insomnia had more awakenings due to noise, brightness, and staff interruptions than those without insomnia (1.35 times vs. 0.9 times, p = 0.027). Patients with respiratory symptoms, cardiac monitoring, oxygen use, private rooms, and no sedative use did not have a higher insomnia risk. Patients with insomnia had significant lower satisfaction scores than patients without insomnia (4.53 vs. 4.05, p = 0.001) but did not have a different length of stay (6.18 vs. 6.19, p = 0.97). In 31% of patients with insomnia who were able to be contacted two weeks after discharge, 75% of them had insomnia resolution.

Conclusion: New onset of insomnia occurred in 36% of hospitalized patients. Most common causes are staff disruption and disease symptoms. It was usually short-term and could decrease patients’ satisfaction score.

Awakenings? Patient and Hospital Staff Perceptions of Nighttime Disruptions and Their Effect on Patient Sleep

STUDY OBJECTIVES

Although important to recovery, sleeping in the hospital is difficult because of disruptions. Understanding how patients, hospital physicians, and nurses perceive sleep disruptions and identifying which disruptions are associated with objective sleep loss can help target improvement initiatives.

METHODS

Patients and hospital staff completed the Potential Hospital Sleep Disruptions and Noises Questionnaire (PHSDNQ). Cutoff points were defined based on means, and responses were dichotomized. Perceived percent disrupted for each item was calculated, and responses were compared across groups using chi-square tests. Objective sleep time of patients was measured using wrist actigraphy. The association between patient-reported disruptions and objective sleep time was assessed using a multivariable linear regression model controlling for subject random effects.

RESULTS

Twenty-eight physicians (78%), 37 nurses (88%), and 166 of their patients completed the PHSDNQ. Patients, physicians, and nurses agreed that pain, vital signs and tests were the top three disrupters to patient sleep. Significant differences among the groups' perceptions existed for alarms [24% (patients) vs. 46% (physicians) vs. 27% (nurses), p < 0.040], room temperature (15% vs. 0% vs. 5%, p < 0.031) and anxiety (18% vs. 21% vs. 38%, p < 0.031). Using survey and actigraphy data from 645 nights and 379 patients, the presence of pain was the only disruption associated with lower objective sleep duration (minutes) [-38.1 (95% confidence interval -63.2, -12.9) p < 0.003].

CONCLUSION

Hospital staff and patients agreed that pain, vital signs and tests were top sleep disrupters. However, pain was associated with the greatest objective sleep loss, highlighting the need for proactive screening and management of patient pain to improve sleep in hospitals.

Evolution of severe sleep-wake cycle disturbances following traumatic brain injury: a case study in both acute and subacute phases post-injury

Background

Sleep-wake disturbances are frequently reported following traumatic brain injury (TBI), but they remain poorly documented in the acute stage of injury. Little is known about their origin and evolution.

Case presentation

This study presents the case of a patient in the acute phase of a severe TBI. The patient was injured at work when falling 12 m into a mine and was hospitalized in the regular wards of a level I trauma centre. From days 31 to 45 post-injury, once he had reached a level of medical stability and continuous analgosedation had been ceased, his sleep-wake cycle was monitored using actigraphy. Results showed significant sleep-wake disturbances and severe sleep deprivation. Indeed, the patient had an average nighttime sleep efficiency of 32.7 ± 15.4 %, and only an average of 4.8 ± 1.3 h of sleep per 24-h period. After hospital discharge to the rehabilitation centre, where he remained for 5 days, the patient was readmitted to the same neurological unit for paranoid delusions. During his second hospital stay, actigraphy recordings resumed from days 69 to 75 post-injury. A major improvement in his sleep-wake cycle was observed during this second stay, with an average nighttime sleep efficiency of 96.3 ± 0.9 % and an average of 14.1 ± 0.9 h of sleep per 24-h period.

Conclusion

This study is the first to extensively document sleep-wake disturbances in both the acute and subacute phases of severe TBI. Results show that prolonged sleep deprivation can be observed after TBI, and suggest that the hospital environment only partially contributes to sleep-wake disturbances. Continuous actigraphic monitoring may prove to be a useful clinical tool in the monitoring of patients hospitalized after severe TBI in order to detect severe sleep deprivation requiring intervention. The direct impact of sleep-wake disturbances on physiological and cognitive recovery is not well understood within this population, but is worth investigating and improving.

Electronic supplementary material

The online version of this article (doi:10.1186/s12883-016-0709-x) contains supplementary material, which is available to authorized users.

Pilot study aiming to support sleep quality and duration during hospitalizations

BACKGROUND

Sleep is a vital part to healing and recovery, hence poor sleep during hospitalizations is highly undesirable. Few studies have assessed interventions to optimize sleep among hospitalized patients.

OBJECTIVE

To assess the effect of sleep-promoting interventions on sleep quality and duration among hospitalized patients.

DESIGN

Quasi-experimental prospective study.

SETTING

Academic medical center.

PARTICIPANTS

Adult patients on the general medicine ward.

INTERVENTION

Nurse-delivered sleep-promoting interventions augmented by sleep hygiene education and environmental control to minimize sleep disruption.

MEASUREMENTS

Objective and subjective measurement of sleep parameters using validated sleep questionnaires, daily sleep diary, and actigraphy monitor.

RESULTS

Of the 112 patients studied, the mean age was 58 years, 55% were female, the mean body mass index was 32, and 43% were in the intervention group. Linear mixed models tested mean differences in 7 sleep measures and group differences in slopes representing nightly changes in sleep outcomes over the course of hospitalization between intervention and control groups. Only total sleep time, computed from sleep diaries, demonstrated significant overall mean difference of 49.6 minutes (standard error [SE] = 21.1, P < 0.05). However, significant differences in average slopes of subjective ratings of sleep quality (0.46, SE = 0.18, P < 0.05), refreshing sleep (0.54, SE = 0.19, P < 0.05), and sleep interruptions (-1.6, SE = 0.6, P < 0.05) indicated improvements during hospitalization within intervention patients compared to controls.

CONCLUSION

This study demonstrated that there is an opportunity to identify patients not sleeping well in the hospital. Sleep-promoting initiatives, both at the unit level as well as individualized offerings, may improve sleep during hospitalizations, particularly over the course of the hospitalization. Journal of Hospital Medicine 2016;11:467-472. © 2016 Society of Hospital Medicine.