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. Author manuscript; available in PMC: 2020 Jul 1.
Published in final edited form as: Gen Hosp Psychiatry. 2019 May 24;59:58–66. doi: 10.1016/j.genhosppsych.2019.05.006

Sleepless in the hospital: A systematic review of non-pharmacological sleep interventions

Megan Miller 1, Brenna N Renn 2, Frances Chu 3, Nicole Torrence 2,4
PMCID: PMC6620136  NIHMSID: NIHMS1530879  PMID: 31170567

Abstract

Objective:

Poor sleep is highly prevalent in inpatient medical settings and has been associated with attenuated healing and worsened outcomes following hospitalization. Although nonpharmacological interventions are preferred, little is known about the best way to intervene in hospital settings.

Method:

A systematic review of published literature examining nonpharmacological sleep interventions among inpatients in Embase, PsycINFO and PubMed in accordance with PRISMA guidelines.

Results:

Forty-three of the 1,529 originally identified manuscripts met inclusion criteria, encompassing 2,713 hospitalized participants from 18 countries comprised of psychiatric and older adult patients living in hospital settings. Main outcomes were subjective and objective measures of sleep duration, quality, and insomnia.

Conclusions:

Overall, the review was unable to recommend any specific intervention due to the current state of the literature. The majority of included research was limited in quality due to lack of controls, lack of blinding, and reliance on self-reported outcomes. However, the literature suggests melatonin and CBT-I likely have the most promise to improve sleep in inpatient medical settings. Additionally, environmental modifications, including designated quiet time and ear plugs/eye masks, could be easily adopted in the care environment and may support sleep improvement. More rigorous research in nonpharmacological sleep interventions for hospitalized individuals is required to inform clinical recommendations.

Keywords: Sleep, nonpharmacological intervention, hospitalized patients

1. Introduction

Sleep, which is essential for proper physiological functioning and healing, is often interrupted in hospital settings. Prevalence rates of poor sleep in hospitalized patients range from 47–67%, depending on both the care population and setting [1, 2]. For example, an estimated 50% of all medical inpatients report difficulty sleeping through the night [3] and sleep on average an hour and a half less than while they are at home [4].

This high prevalence is alarming, given the growing literature suggesting an association between poor sleep and both short- and long-term adverse consequences in hospitalized patients. Sleep disruption impairs immune function [5], which is crucial for healing. Poor sleep is associated with hypertension and other cardiovascular risk factors, poor glycemic control, cognitive decline, and increased vulnerability to mental health problems [69], all of which may be compounded in medically and psychiatrically vulnerable populations. Furthermore, poor, altered, and/or fragmented sleep while hospitalized is linked with greater disability ratings at time of discharge, poorer healthcare satisfaction, greater short- and long-term functional impairments, increased medical complications, and increased mortality rates in a variety of medical and psychiatric patients [1015].

Interventions to improve sleep in a hospital setting would likely have a wide range of positive outcomes. Although interest in sleep [16], and interventions to improve sleep, has increased in the past two decades, few studies have focused on interventions in hospital settings. Of those that have, most have focused on pharmacological intervention [17]. However, such interventions are limited and may be contraindicated, as certain medications have negative side effects in vulnerable hospitalized patients [18, 19], and hypnotics and benzodiazepines are best avoided in older adults because of increased risk for delirium, falls, and fractures [20]. Therefore, nonpharmacological interventions are considered the most appropriate first-line treatment in hospitalized patients [17]. However, two reviews [21, 22] investigating nonpharmacological interventions in hospital settings concluded that existing evidence was of low or very low quality. It is thus unclear which nonpharmacological interventions may improve sleep in hospitalized patients. Therefore, the objective of the current review was to investigate the current state of the literature and summarize the clinical evidence for nonpharmacological sleep intervention efficacy and/or effectiveness for patients in hospital settings.

2. Methods

2.1. Literature Search

A systematic search of the published literature was conducted in Embase, PsycINFO and PubMed in December 2017 by a health sciences librarian (FC). The literature was searched for the following concepts (with synonyms, closely related words, and controlled vocabulary): inpatients or hospitalized patients, sleep disorders, and interventions. To limit publication bias, we also conducted a search in the World Health Organization’s clinical trials search portal (http://apps.who.int/trialsearch), which allowed a search across multiple registries. Searches were restricted to those conducted in human adults (18 years and above) available in the English language. This systematic review was conducted in accordance with the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses [23].

2.2. Article Screening and Selection

Following the literature search, titles and abstracts were independently reviewed by a reviewer (MAM). In order to be included, articles were required to be a full original research paper published in a peer-reviewed journal, include an intervention that targeted sleep, occur in a medical or psychiatric inpatient, or residential settings with adults, and report sleep as an outcome measure. Articles were excluded from further review if they did not include a sleep intervention, were not performed in an inpatient setting, included only pharmacological (excluding over-the-counter) interventions, were not in adult samples, or were case studies or review articles. Articles investigating treatment for obstructive sleep apnea (e.g., continuous positive airway pressure [CPAP]) were also excluded.

Full text review of articles meeting inclusion criteria at title/abstract screen were divided between three authors (MAM, BNR, NDT); each manuscript was independently reviewed by two of these three reviewers. In the case of a disagreement between the two reviewers, the third reviewer was used to decide inclusion. Full text articles were excluded if they represented a conference or oral poster, lacked generalizability (i.e., one study was not included as it targeted neck position during sleep in those with cervicobrachialgia), or were not accessible as an original manuscript.

Further articles were identified for inclusion using a snowball search strategy, in which reference lists of included papers were scanned for other relevant articles. Manuscripts identified in this way were screened in the same format described above.

2.3. Data Extraction

Information regarding sample size, study design, average sample age, setting, intervention, and summary of outcome was extracted from each included paper (MAM).

2.4. Article Organization

Included studies were organized by inpatient population and then by type of sleep intervention for ease of synthesis. Hospitalized patient populations identified in the review fell into one of three broad groups: 1) patients with psychological disorders including serious mental illness and substance use disorders; 2) older adult patients with or without dementia who lived in a variety of inpatient geriatric care settings; and 3) patients with medical conditions were inpatient on hospital care units.

2.5. Quality Assessment

The quality of included manuscripts was assessed using the Jadad rating scale [24]. Higher scores indicate better quality, with scores ≥ 3 considered high quality [25]. All identified manuscripts that were not RCTs were automatically scored a 0.

3. Results

3.1. Included Studies and Study Characteristics

The search resulted in 1,622 titles/abstracts; after removal of duplicates, 1,529 titles/abstracts were screened. From these, 74 studies were deemed potentially eligible and underwent full-text review. A total of 43 manuscripts met inclusion criteria and were ultimately included in the review. See Figure 1 for a flowchart of search process and results.

Figure 1.

Figure 1

Flow chart of included articles. The flow chart is based on PRISMA guidelines.

Table 1 depicts study information, including sample size, study design, average sample age, setting, intervention, and summary of outcome. This sample consisted of 43 studies from 18 countries assessing a total of 2,713 participants with an average age ranging from 33–86. Studies examined 14 different nonpharmacological interventions across three care settings. Twenty-three studies were randomized controlled trials (RCTs), 7 were nonrandomized controlled trials (i.e., study design included an intervention and control group but no mention of random assignment to groups), and 13 were non-controlled, observational study designs. Quality scores ranged from 0–4. The majority of the included studies (n = 32; 74.4%) used self-report questionnaires or relied on nurse report to measure sleep outcomes. Only 11 (25.6%) used at least one objective measure (e.g., actigraphy or polysomnography).

Table 1.

Included literature in non-pharmacological sleep interventions in hospital settings

Article Country Sample Size Total (Int.) Population Setting Average Age Study Design Type of Control Intervention Type Sleep Measure Result Quality
Ratinga
Alparslan et al., 2016 Turkey 282 (235) Patients with Medical Conditions Internal Medicine Unit 53 Nonrandomized Control Trial No Relaxation Exercises Relaxation Exercise Sleep Questionnaire + 0
Ancoli-Israel et al., 2002 USA 72 Older Adults Nursing Home 85 RCT Red Light, Daytime Sleep Restriction AM or PM Bright Light Therapy Actigraphy No Impact 3
Andrade et al. 2001 India 33 (18) Patients with Medical Conditions General Ward 55 RCT Placebo Melatonin Sleep Questionnaire + 3
Bartick et al., 2010 USA 106 Patients with Medical Conditions Medical-Surgical Unit 63 Pre/Post N/A Quiet Time, Limit Night Care Sleep Questionnaire + 0
Biancosino et al.,2006 Italy 36 Patients with Psychological Disorders Psychiatry Hospital 47 Pre/Post NA Psychoeducation Sleep Questionnaire, Sedative use + 0
Borji et al., 2017 Iran 60 (30) Patients with Medical Conditions Cardiac Unit 52 RCT TAU Quiet Time Protocol Sleep Questionnaire + 1
Connell et al., 2001 England 43 Older Adults Geriatric Care Wards Not Reported Pre/Post N/A Aromatherapy Nurse Recordings of Sleep + 0
Dave et al., 2015 India 25 (5) Patients with Medical Conditions ICU 40 RCT TAU Ear Plugs and Eye Masks Sleep Questionnaire + 1
De Rui et al., 2015 Italy 12 (5) Patients with Medical Conditions ICU 59 Nonrandomized Control Trial Patient Controlled Lighting Bright Light Therapy in Controlled Rooms Actigraphy, Melaton in, Sleep Questionnaire No Impact 1
Dowling et al., 2008 USA 50 (17) Older Adults Nursing Home 86 RCT Lighting as Usual, Bright Light Therapy without Melatonin Bright Light Therapy and Melatonin Actigraphy No Impact 2
Dowling et al., 2005 USA 46 (29) Older Adults Nursing Home 84 RCT Lighting as Usual Bright Light Therapy Actigraphy No Impact 2
Ducloux et al., 2013 Switzerland 18 Patients with Medical Conditions Palliative Care 66 RCT Waitlist Relaxation Therapy Sleep Questionnaire No Impact 3
Engwall et al., 2015 Sweden 100 (48) Patients with Medical Conditions ICU 61 Nonrandomized Control Trial Lighting as Usual Lighting Controlled Rooms Sleep Questionnaire N/A 0
Fetveit & Bjorvatn, 2005 Norway 11 Older Adults Nursing home 86 Pre/Post N/A Bright Light Therapy Actigraphy, Nurses Report No Impact 0
Fukuda et al., 2001 Japan 4 Patients with Medical Conditions General Medical Inpatient 85 Pre/Post N/A Bright Light Therapy PSG N/A 0
Greeff & Conradie, 1998 South Africa 22 Patients with Psychological Disorders Inpatient Alcohol Rehabilitation 46 RCT Waitlist Progressive Relaxation Training Sleep Questionnaire + 1
Hajibagheri et al., 2014 Iran 60 (30) Patients with Medical Conditions Coronary Care Unit 62 RCT TAU Rosa damascene aromatherapy Sleep Questionnaire + 3
Haynes et al., 2011 USA 19 Patients with Psychological Disorders Psychiatry Inpatient 55 Pre/Post N/A CBT-i (group format) Sleep Questionnaire + 1
Jones et al., 2012 England 100 Patients with Medical Conditions Critical Care Unit 58 Pre/Post N/A Ear Plugs and Eye Masks Sleep Questionnaire + 0
Kamdar et al., 2013 USA 300 Patients with Medical Conditions ICU 54 Pre/Post N/A Environmental Changes; Earplugs; Eye Masks Sleep Questionnaire No Impact 0
Kim et al., 2004 Korea 30 (15) Patients with Medical Conditions Neurological Diseases Department 67 RCT Sham Acupuncture Acupuncture Sleep Questionnaire No Impact 3
Kobayashi et al., 2001 Japan 10 Patients with Medical Conditions/Older Adults General Medical Inpatient 81 Pre/Post N/A Bright Light Therapy Nurse Reported Improvements in Sleep + 0
Kuck et al., 2014 Germany 85 (32) Older Adults Nursing Home 84 RCT TAU Physical and Social Activation Program Sleep Questionnaire Actigraphy, Nurses Report of Sleep of Sleep + Self Report; No Impact Actigraphy 3
Lee et al., 2009 Korea 52 (27) Patients with Medical Conditions Stroke Center 66 RCT Sham Acupuncture Acupuncture Sleep Questionnaire + 4
Levitt et al., 1975 New Zealand 13 (5) Patients with Psychological Disorders Psychiatric Hospital Included 23 to 63 (no avg reported) Nonrandomized Control Trial Simulated Treatment Group Electrosleep Sleep Questionnaire, Nurse Reported Changes in Sleep No Impact 0
Liu et al., 2015 China 317 (120) Patients with Medical Conditions Inpatient Units 44 RCT TAU Lavender Hot-Bath, Foot-soaking, and/or Progressive Relaxation Sleep Questionnaire + 1
Mashayekhi et al., 2013 Iran 30 Patients with Medical Conditions Coronary Care Unit 51 Crossover No Ear Plugs Earplugs Sleep Questionnaire + 1
McDowell et al., 1998 USA 111 Patients with Medical Conditions/Older Adults General Medical Unit 79 Pre/Post N/A Back Rub, Warm Drink and/or Relax Tapes Patient Interview, Nursing Report, and Chart Review, Sedative Use + 0
Mishima et al., 1994 Japan 24 (14) Older Adults Geriatric Ward of Psychiatry Hospital 75 Nonrandomized Control Trial Patients without Dementia Bright Light Therapy Melatonin, Nurse Reported Sleep Time + 0
Otaghi et al., 2017 Iran 60 (30) Patients with Medical Conditions Cardiac Care Unit Included 18–75 (no avg reported) RCT TAU Lavender Oil Sleep Questionnaire No Impact 1
Philip et al., 1991 France 21 (10) Patients with Psychological Disorders Psychiatry Ward 41 Nonrandomized Control Trial Device Placement without Stimulation Electrosleep Sleep Questionnaire, Sleep Diary + 2
Satlin et al., 1992 USA 10 Older Adults Inpatient VA Dementia Ward 70 Pre/Post N/A Bright Light Therapy Actigraphy, Nurse Ratings of Sleep + 0
Shilo et al., 2000 Israel 8 Patients with Medical Conditions Pulmonary ICU 62 RCT Placebo Placebo Melatonin Actigraphy + 2
Smith et al., 2002 USA 41 (20) Patients with Medical Conditions Oncology Ward 62 Nonrandomized Control Trial Nurse Interaction Massage Sleep Questionnaire + 1
Soden et al., 2004 England 42 (29) Patients with Medical Conditions Palliative Care Unit Median = 73 RCT TAU Massage, Massage/ Aromatherapy Sleep Questionnaire + 2
Sun et al., 2010 Taiwan 44 (23) Older Adults Long Term Care facility 70 RCT Light Touch Acupressure Sleep Questionnaire + 3
Toth et al., 2007 USA 23 (11) Patients with Medical Conditions Hospital 54 RCT Quiet Time Guided Imagery Sleep Questionnaire No Impact 2
Wakamura & Tokura, 2001 Japan 7 Patients with Medical Conditions Chest Disease Ward 67 Pre/Post N/A Light Therapy Actigraphy, Melatonin + 0
Walker, 1984 USA 42 (14) Patients with Psychological Disorders Psychiatry Inpatient 33 RCT Waitlist CBT-I (group format) Sleep Questionnaire and Diary + 2
Wang et al., 2014 China 142 (103) Patients with Medical Conditions Cardiovascular Units 62 RCT TAU Biofeedback Assisted Relaxation Training Sleep Questionnaire, Sedative Use + 3
Yamadera et al., 2000 Japan 27 Older Adults Hospital 80 Pre/Post N/A Bright Light Therapy Actigraphy + 0
Yang et al., 2010 China 79 (24) Patients with Medical Conditions Cancer Inpatient Unit 50 RCT TAU Calligraphy/Relaxation group Sleep Questionnaire + 3
Zimmerman et al., 1996 USA 96 (64) Patients with Medical Conditions Hospital 67 RCT Scheduled Rest Group Music, Music Video Sleep Questionnaire + 1

Note. 11 of the 13 studies included in the Tamarat et al., 2013 are included in the current review. Two studies were not included due to differences in inclusion criteria. Fourteen of the papers included in this study were published following the Tamarat study. “No impact” indicates that there was no impact of intervention on night time sleep, N/A in outcome variable indicates no statistical comparison;

a

Quality rating based on Jadad et al., 1996 criteria, TAU = Treatment as usual, RCT = Randomized controlled trial, + = positive impact on night time sleep by intervention.

3.1.1. Patients with Psychological Disorders.

Six of the included studies investigated sleep interventions in psychiatric hospitals and drug and alcohol rehabilitation programs. Interventions largely consisted of psychoeducation [26], progressive muscle relaxation exercises [27], and electrostimulation [28, 29]. Two of these six studies implemented a group form of cognitive behavioral therapy for insomnia (CBT-I) [30, 31]. All interventions had positive effects on sleep quality and/or duration with the exception of electrostimulation. Electrosleep, or electrostimulation of the cerebral cortex, administered twice a day was shown to have no effect on sleep relative to placebo in a nonrandomized study [28], though improved sleep duration relative to placebo (5.2 hours vs. 3.2 hours) during a drug washout period in a psychiatric inpatient setting [29]. CBT-I was the only intervention tested in this population that was the focus of more than one study and had consistently positive findings. Both studies that investigated CBT-I [30, 31] were administered in group format and found improvements in insomnia symptoms and in sleep quality.

Importantly, however, the studies have critical weaknesses. First, two of the six studies did not include control groups. Those that did were limited in quality of design (quality scores 0–2) due to lack of randomization, lack of blinding to intervention, and/or lack of information regarding dropouts. In addition, objective outcome measures were limited to tracking sedative use and most of the studies relied on self-report on sleep duration and quality. These limitations and lack of current replication studies suggests results should be interpreted cautiously.

3.1.2. Older Adults.

Ten studies included older adult patients with or without dementia in a variety of inpatient geriatric care settings, including long-term care settings, geriatric psychiatry, and geriatric acute care wards. Of those, the majority (n = 7; 70%) investigated light therapy in individuals with dementia. Most of these studies did not find a statistically significant increase in nighttime sleep [3235] after intervention, although many reported improved circadian entrainment [32, 34] and decreased daytime sleep [33, 36, 37]. Of note, a single paper compared light therapy to the use of combined light therapy and melatonin and found the combined treatment was effective at entraining rhythms while light therapy alone was not [33]. Timing of light therapy differed between studies. Morning light was the most common timing of the intervention and had the strongest entraining effect [32], though evening light was shown to improve nurse reports of sleep [35] and increase circadian amplitude [32]. Interestingly, several studies found that those with the most severe insomnia and dementia symptoms benefited the most from light therapy relative to those with less severe symptoms [34, 35, 38]. Overall, the evidence suggests that light therapy in older adults living in inpatient geriatric care settings with dementia is effective for entraining circadian rhythms, though may not directly increase sleep during the night time period. Although the overall quality of these studies is similar to those described in previous sections (quality scores 0–3), the studies more often included objective measures (i.e., actigraphy) and control groups, which strengthens the evidence supporting light therapy for older patients with dementia in these settings.

The remaining studies investigated social and physical activity, aromatherapy, and acupressure in older adult inpatients. One study implementing social and physical activity in a group format in nursing home residents (including those with mild-to-moderate cognitive impairments) found an improvement in self-reported insomnia in the active intervention group [39]. Interestingly, there was no difference in objective actigraphy measures between intervention and control groups, which suggests that the perception of sleep improved without any improvement in sleep duration or quality. An aromatherapy study found that Roman chamomile oil used on patient bed pillows improved nurse-documented sleep duration among patients (including those with dementia) on inpatient geriatric care settings [40]. One study investigated acupressure study found an improvement in self-reported insomnia severity among long-term care residents who received acupressure treatment relative to patients who received light touch [41]. Two studies had moderate quality ratings due to lack of double blinding (quality scores = 3) [39, 41]. The aromatherapy study had a low-quality rating (0) due to the lack of control group.

3.1.3. Patients with Medical Conditions.

Twenty-seven of the articles included patients with medical conditions. Six of the articles investigated relaxation techniques on sleep quality. Of the two studies that implemented progressive muscle relaxation, both found an increase in self-reported sleep quality. However, one of these two studies had several design flaws including nonrandomization and a significant difference in baseline sleep measures between controls and those receiving the intervention [42]. The other study’s sleep measure was one question regarding sleep quality, which greatly limits interpretation of the findings [43]. Two studies implemented guided imagery with one study finding a significant effect on self-reported sleep quality [44] and the other reporting null findings [45]. The study with positive findings also included biofeedback, which may have provided an opportunity for patients to adjust their imagery technique to increase the effectiveness of relaxation. Duxloux et al. [46] found no improvement in self-reported sleep satisfaction with the use of deep breathing techniques. Zimmerman et al., [47] found a positive impact of watching relaxing music videos on self-reported sleep quality. Overall, the studies teaching relaxation techniques were limited in quality (0–3) but offer some evidence supporting the use of progressive muscle relaxation in hospitalized patients with medical conditions.

Aromatherapy was used in three of the intervention articles, with mixed results. In patients in cardiology hospital units, nightly rose essential oil on patients’ bed pillows improved average Pittsburgh Sleep Quality Index scores by 3.07 points while control scores worsened by less than a point [48]. In contrast, cardiology inpatients did not self-report improved sleep after use of lavender oil [49]. Other studies have shown massage and lavender oil [50], as well as massage alone, to improve self-reported sleep in cancer inpatients [50, 51]. Overall, studies investigating aromatherapy and/or massage were limited in quality (quality scores 1–3) due to lack randomization [51] and the use of the self-report questionnaires [4851].

Two studies implemented multiple interventions including combinations of relaxation techniques, aromatherapy, and massage. In a randomized study utilizing lavender essential oils, progressive muscle relaxation, and foot soaking reported an improvement in self-reported sleep quality in patients hospitalized with liver disease [52]. Similarly, an intervention including backrub, a warm drink before bed, and relaxation tapes had a positive, dose-wise effect on self-reported and chart-documented sleep [53]. Although promising, both studies were limited in quality (ratings 0–1) and used self-report sleep measures, which restricts interpretation and generalization of results.

Acupuncture was used in two studies from the same research group investigating sleep interventions among post-stroke patients with insomnia. Both studies found an improvement in self-reported sleep following acupuncture [54, 55]. These studies received relatively high-quality ratings due to blinding, randomization and report of reasons for withdrawal (3–4).

Six of the articles focused on improving the sleep environment for medical inpatients, including creating quiet time protocols on units and providing eye masks and ear plugs to patients. Quiet time protocols improved self-reported sleep quality and sleepiness ratings in a sample of patients on a cardiovascular hospital unit after three nights [56]. However, Bartick et al.[57] investigated quiet time in a group of general medical inpatients and found limited effects on sleep medication use and no effect on sleep quality. Differing results may be due to the lack of controls in the negative study [57]. Of those studies investigating ear plug and eye mask use, two studies found an improvement in self-reported sleep quality [58, 59] while one study found an improvement in sleep duration but not in sleep quality [60]. One quality improvement investigation included a large sample (n = 300) assessing both modifications to the environment, the option for earplug and eye mask use, and an option for pharmacological intervention, with no significant change in self-perceived sleep quality [61]. These studies had low quality ratings (0–1) with most lacking blinding and reporting of withdrawals.

Chronobiological interventions (namely, melatonin and light therapy) were included in seven of the articles. After taking melatonin at night for at least two days, objectively-assessed duration and quality of sleep improved in patients with respiratory failure [62]. Melatonin also improved self-reported sleep quality and decreased sleep onset latency in general medical inpatients [63]. Together, preliminary evidence suggests a positive impact of melatonin on sleep in medical inpatients, although study design and quality (scores 2–3) suggest further investigation is necessary. Two of the five studies investigating light therapy found qualitatively positive effects on sleep (e.g., patient interviews and consecutive case studies), but did not report quantitative findings [64, 65]. Light exposure during the afternoon was shown to delay bedtime and increase immobile time at night measured by actigraphy [66] and improve nurse-reported sleep in general medicine inpatients [67]. Although both studies found promising results of afternoon light therapy on sleep, they both lacked controls and should be interpreted with caution. Further, in the only light therapy study that included a control group, the intervention did not significantly alter actigraphy-measured sleep relative to controls [68]. Evidence supporting the use of light therapy in medically hospitalized patients is more tenuous than the melatonin literature and suggests a need for more rigorous light therapy investigations in these populations.

4. Discussion

This review investigated nonpharmacological interventions for the prevalent problem of poor sleep among hospitalized individuals. Overall, the majority of the 43 reviewed studies were RCT designs with low quality ratings, mostly reporting subjective measures of sleep improvement, with few attempts to replicate findings. Among inpatients with psychiatric disorders, a group format of CBT-I was the only intervention type to be tested in more than one study; findings suggested an improvement in both sleep quality and insomnia symptoms after such treatment. This is consistent with a recent meta-analysis which indicated that CBT-I had a medium-to-large effect size on sleep quality improvement in outpatients with comorbid insomnia [69]. CBT-I is likely a fruitful avenue for further research in inpatients with psychiatric disorders and perhaps other categories of hospitalized patients as well. However, active ingredients of CBT-I, such as stimulus control and sleep restriction, can be difficult in certain hospitalized populations, particularly among those confined to their bed or with contraindications for sleep restriction (i.e., individuals with bipolar disorder).

Among older adults, most of the studies assessed light therapy and environmental lighting in inpatient geriatric care settings. Although these studies did not necessarily find a direct effect of such interventions on sleep quality or nightly sleep duration, some found improved circadian entrainment [32, 33]. This is consistent with the known mechanisms of light therapy to entrain and synchronize the circadian system (for Review see [70]). As such, timing of light administration is important. Given that older adults with dementia are thought to have delayed circadian rhythms [71], and light exposure in the morning is known to advance circadian rhythms [72], it is unsurprising that the most successful timing of light therapy in older patients with dementia is in the morning [32]. In addition to improving entrainment, light therapy also has the added benefit of decreasing daytime sleep [33, 36, 37]—an important benefit given that more napping predicts less functional recovery for older individuals in post-acute rehabilitation setting [73]. Of all the interventions reviewed, light therapy for older adults has the most evidence to support its use in inpatient geriatric care settings and hospital settings.

Hospital inpatients with medical conditions were the most frequently represented population in the articles reviewed. Although several interventions were investigated, few studies used objective measures of sleep and, as with the psychiatric population, few studies have replicated intervention effects on sleep quality or duration. Acupuncture and melatonin had the most consistently positive effects on subjective and objective measures of sleep. A meta-analysis investigating acupuncture in the general population found a marginal increase in sleep quality and concluded that there was limited high-quality clinical evidence of acupuncture to treat insomnia [74]. This is consistent with the current literature in inpatients with medical conditions and highlights the importance of further research testing acupuncture for sleep improvement. In the same vein, melatonin has been shown to have a modest effect on sleep onset latency and quality on both medical inpatients and outpatients with insomnia [62, 63, 75], though limited investigation in the hospitalized setting indicates the need for further research.

4.1. Limitations of the Literature

A limitation of the majority of the research included in this review is the lack of objective measures of sleep. In general, individual self-report of sleep duration and quality differs from those measured with objective procedures, such as polysomnography and actigraphy [7678]. Together, some studies suggest that self-reported sleep duration and quality may not accurately reflect a participant’s sleep experience. It is therefore possible that the change in self-reported sleep quality or duration described by studies in the current review may not represent a significant change in actual sleep quality or duration. However, it is important to highlight that self-report sleep quality questionnaire scores have been correlated with quality of life ratings, such that poorer sleep quality is related to lower quality of life [79, 80], suggesting that changes in subjective measures of sleep may provide important information on overall functioning.

In addition, less rigorous study design and inclusion criteria may have muted the potentially positive outcomes of the included studies. As indicated above, several studies measured pre- and post-intervention changes in sleep quality or duration in an open trial, without the use of a control group for comparison. Given the expected improvement in health over hospital stays, as well as general regression to the mean, the relative contribution of the intervention to sleep changes during a hospital stay remains unclear in many of these trials. Differences in the inclusion criteria for participants across studies may limit generalizability, including whether the individuals were required to have sleep problems prior to the initiation of the intervention. It is likely that the studies that did not require individuals to have sleep problems prior to treatment had limited potential for sleep change relative to those that restricted inclusion to those with sleep problems. Overall, inclusion of controls and inclusion criteria were all design factors that limited the interpretation of the current review’s results.

4.2. Limitations of the Current Review

One limitation of the current review is our limited ability to quantify the quality of the included studies. Because the review aimed to represent the current state of the literature investigating sleep interventions in medical and other inpatient facilities, all study designs otherwise meeting study inclusion criteria were included in the review. Unfortunately, assessing quality across study designs can be difficult because each design has different standards. The current review utilized the Jadad approach because it evaluates clinical trials, the gold standard of establishing intervention efficacy and effectiveness. However, this approach does not provide a robust method of quantifying the quality of non-RCTs; therefore, included non-RCT studies did not undergo a nuanced quality assessment and were awarded zeros. In addition, under the Jadad rating system, studies utilizing a double-blind approach are awarded a higher score. Many nonpharmacological interventions are inherently resistant to blinding (e.g., aromatherapy; using ear plugs). Therefore, one criticism of this rating system is that it favored easily blinded interventions (e.g., pharmaceutical interventions, such as melatonin).

4.3. Recommendations for Future Research

Despite these limitations, this review updates and expands previous work in this area [21]. The review highlights the continuing paucity of research investigating sleep interventions among inpatients in medical, psychiatric, and inpatient geriatric care settings. Concrete suggestions for future research will provide a focused path forward for the literature and support more clear and effective clinical recommendations.

4.3.1. Interventions for focus of future research.

The review has highlighted that those interventions that have the most evidence for sleep improvement in the community dwelling population (light therapy, melatonin, and CBT-I) also have the most promise in medical and inpatient geriatric care settings. Adapting these approaches, such as CBT-I, to medical populations and settings may lead to more effective and accessible interventions. In addition, a number of interventions included in the review did not require specialist care and therefore are likely the most accessible and easily assimilated into current medical treatment For instance, environmental modifications like implementing a “quiet time” for staff and patients or limiting the number of patients sharing a room may have important positive effects on sleep with relatively little financial investment or risk of negative side effects. Given the heterogeneity of sleep difficulties in hospital settings, multimodal interventions that combine approaches (e.g., behavioral, circadian, and environmental) into a flexible, modularized intervention may be a novel way to address individual patient sleep difficulties.

4.3.2. Study designs to support more definitive clinical recommendations.

Well-designed studies are necessary to provide the most robust clinical guidance to providers. Research should first focus on establishing intervention efficacy using RCT designs, ideally using active comparators to determine the best treatment for a specific settings and populations. Next, pragmatic effectiveness trials are needed to ascertain treatment effect in real world practice, using typical patients and providers. Such research should include measures of treatment fidelity and adverse effects of the targeted intervention to better understand the effect and ramifications of the intervention. In addition, collecting objective measures of sleep improvement will be an important extension of the current literature. Inclusion of polysomnography (PSG), the gold standard of sleep measurement, will provide more accurate outcome data and replicable results. Concurrently, actigraphy, which is a cheaper and more participant-friendly sleep measure, has been shown to accurately reflect PSG measures and would provide a more convenient objective measure of sleep in a hospital setting [81]. This enhanced rigor will be an important foundation for building consistent and effective clinical recommendations for sleep interventions in a hospital setting.

4.4. Conclusions

Overall, the review is unable to recommend any specific intervention based on the current literature, mostly due to the limited quality of research currently investigating sleep interventions in medical and inpatient geriatric care settings. Specifically, interpretation of current studies was limited by their use of subjective measures, lack of clarity or report on the randomization design, and/or the lack of control groups required to establish efficacy. Of the interventions included in the current review, melatonin and CBT-I likely have the most promise to improve sleep duration and quality in medical settings. Light therapy may also be helpful, though in an indirect pathway via improved entrainment of the circadian system. Environmental modifications will likely be relatively easily adapted into care and therefore are worth further investigation. Further research is required to provide stronger clinical recommendations for sleep interventions in those medical and geriatric care settings.

5. Acknowledgements

Funding: This research was partially supported by the National Institute of Mental Health [grant number T32MH073553].

Footnotes

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