Sleep assessment by patients and nurses in the intensive care: An exploratory descriptive study

Parents' perceptions of factors influencing sleep in pediatric intensive care units: A qualitative study

PURPOSE

The purpose of this study is to explore factors influencing sleep in pediatric intensive care units as perceived by parents of critically ill children.

DESIGN AND METHODS

This descriptive qualitative study used individual semistructured interviews. Parents were recruited through purposive sampling from two pediatric intensive care units at two locations in one university hospital in Norway. Ten parents were interviewed. The interviews were analyzed using a six-phase reflexive thematic analysis.

FINDINGS

The analysis produced 17 subthemes under four main themes: environmental factors in the pediatric intensive care unit disturb children's sleep, children need trust and safety to sleep, nurses' cooperation with parents influences children's sleep, and nurses' structuring of their practices is fundamental to sleep promotion.

CONCLUSION

The parents found that the environment disturbed their children's sleep, and environmental factors were easier to control in single rooms than in multibed rooms. Children slept better when they felt safe and trusted the nurses, and parents desired more cooperation in promoting sleep for their children, which may be an essential and overlooked part of sleep promotion. Nurses varied considerably in how they prioritized sleep and structured their practices to promote sleep.

PRACTICE IMPLICATIONS

Nurses should take parents' experiences into account to better promote sleep for patients. By limiting environmental disturbances, building relationships with children to make them feel safe, including parents in sleep promotion, and prioritizing sleep in their practices, nurses could improve sleep quality and limit the consequences of sleep disturbance.

Nurses' Attitudes, Practices, and Barriers to Assessing Symptoms of Discomfort in Mechanically Ventilated Patients: A Cross-Sectional Study

Introduction

Critically ill patients experience various stressful symptoms of discomfort, including dyspnea, pain, and sleep disruption. Notably, ventilated patients have difficulty self-reporting discomfort symptoms. Nurses need to assess discomfort symptoms to alleviate them, but limited research exists on discomfort symptom assessment and management in critically ill patients.

Objective

To identify the practices, attitudes, and barriers among nurses related to the assessment of discomfort symptoms in mechanically ventilated patients.

Methods

Using a cross-sectional, descriptive study design, a web-based survey was conducted between May and June 2022 with critical care nurses sampled through Japanese academic societies and social networking services. The survey contained questions relative to the above-stated objective. Descriptive statistical analysis was performed without sample size calculation because of the descriptive and exploratory nature of this study.

Results

There were 267 respondents to the questionnaire. The discomfort symptoms that nurses perceived as important to assess were pain (median 100 [interquartile range, IQR 90-100]), insomnia (99 [80-100]), and dyspnea (96.5 [75-100]). Most participants (89.8%) routinely assessed pain in mechanically ventilated patients using a scale; however, other discomfort symptoms were assessed by less than 40% (dyspnea [28.4%], fatigue [8.1%], thirst [13.1%], insomnia [37.3%], and anxiety [13.6%]). Two major barriers to assessing discomfort symptoms were lack of assessment culture within the intensive care unit and lack of knowledge of the relevant evaluation scales.

Conclusions

Nurses were aware of the importance of using scales to assess the discomfort symptoms experienced by mechanically ventilated patients. However, except for pain, most nurses did not routinely use scales to assess discomfort symptoms. Barriers to routine discomfort symptom assessment included the lack of an assessment culture and the lack of knowledge of the assessment scales. Clinicians should be educated regarding the existence of validated rating scales and develop additional rating scales utilizable for minor discomforts in mechanically ventilated patients.

Pediatric Neurocritical Care: Maximizing Neurodevelopmental Outcomes Through Specialty Care

The field of pediatric neurocritical care (PNCC) has expanded and evolved over the last three decades. As mortality from pediatric critical care illness has declined, morbidity from neurodevelopmental disorders has expanded. PNCC clinicians have adopted a multidisciplinary approach to rapidly identify neurological injury, implement neuroprotective therapies, minimize secondary neurological insults, and establish transitions of care, all with the goal of improving neurocognitive outcomes for their patients. Although there are many aspects of PNCC and adult neurocritical care (NCC) medicine that are similar, elemental difference between adult and pediatric medicine has contributed to a divergent evolution of the respective fields. The low incidence of pediatric critical care illness, the heterogeneity of neurological insults, and the limited availability of resources all shape the need for a PNCC clinical care model that is distinct from the established paradigm adopted by the adult neurocritical care community at large. Considerations of neurodevelopment are fundamental in pediatrics. When neurological injury occurs in a child, the neurodevelopmental stage at the time of insult alters the impact of the neurological disease. Developmental variables contribute to a range of outcomes for seemingly similar injuries. Despite the relative infancy of the field of PNCC, early reports have shown that implementation of a specialized PNCC service elevates the quality and safety of care, promotes education and communication, and improves outcomes for children with acute neurological injuries. The multidisciplinary approach of PNCC clinicians and researchers also promotes a culture that emphasizes the importance of quality improvement and education initiatives, as well as development of and adherence to evidence-based guidelines and family-focused care models.

A review on factors related to patient comfort experience in hospitals

The creation of a welcoming hospital atmosphere is necessary to improve patient wellbeing and encourage healing. The goal of this study was to examine the variables affecting hospitalised patients' comfort. The study procedure included a thorough search of the Web of Science and Scopus databases, as well as the use of software analytic tools to graphically map enormous literature data, providing a deeper understanding of the linkages within the literature and its changing patterns. Insights from a range of disciplines, including engineering, psychology, immunology, microbiology, and environmental science, were included into our study using content analysis and clustering approaches. The physical environment and the social environment are two crucial factors that are related to patient comfort. The study stress the need of giving patient comfort a top priority as they heal, especially by tackling indoor air pollution. Our research also emphasises how important hospital care and food guidelines are for improving patient comfort. Prioritising patients who need specialised care and attention, especially those who have suffered trauma, should be the focus of future study. Future research in important fields including trauma, communication, hospital architecture, and nursing will be built on the findings of this study. To enhance research in these crucial areas, worldwide collaboration between experts from other nations is also advised. Although many studies stress the significance of patient comfort, few have drawn conclusions from a variety of disciplines, including medicine, engineering, immunology, microbiology, and environmental science, the most crucial issue of thoroughly researching the improvement of patient comfort has not been addressed. Healthcare workers, engineers, and other professions will benefit greatly from this study's investigation of the connection between hospital indoor environments and patient comfort.

Sleep during and following critical illness: A narrative review

Sleep is a complex process influenced by biological and environmental factors. Disturbances of sleep quantity and quality occur frequently in the critically ill and remain prevalent in survivors for at least 12 mo. Sleep disturbances are associated with adverse outcomes across multiple organ systems but are most strongly linked to delirium and cognitive impairment. This review will outline the predisposing and precipitating factors for sleep disturbance, categorised into patient, environmental and treatment-related factors. The objective and subjective methodologies used to quantify sleep during critical illness will be reviewed. While polysomnography remains the gold-standard, its use in the critical care setting still presents many barriers. Other methodologies are needed to better understand the pathophysiology, epidemiology and treatment of sleep disturbance in this population. Subjective outcome measures, including the Richards-Campbell Sleep Questionnaire, are still required for trials involving a greater number of patients and provide valuable insight into patients’ experiences of disturbed sleep. Finally, sleep optimisation strategies are reviewed, including intervention bundles, ambient noise and light reduction, quiet time, and the use of ear plugs and eye masks. While drugs to improve sleep are frequently prescribed to patients in the ICU, evidence supporting their effectiveness is lacking.

Causes, Consequences, and Treatments of Sleep and Circadian Disruption in the ICU: An Official American Thoracic Society Research Statement

Background: Sleep and circadian disruption (SCD) is common and severe in the ICU. On the basis of rigorous evidence in non-ICU populations and emerging evidence in ICU populations, SCD is likely to have a profound negative impact on patient outcomes. Thus, it is urgent that we establish research priorities to advance understanding of ICU SCD. Methods: We convened a multidisciplinary group with relevant expertise to participate in an American Thoracic Society Workshop. Workshop objectives included identifying ICU SCD subtopics of interest, key knowledge gaps, and research priorities. Members attended remote sessions from March to November 2021. Recorded presentations were prepared and viewed by members before Workshop sessions. Workshop discussion focused on key gaps and related research priorities. The priorities listed herein were selected on the basis of rank as established by a series of anonymous surveys. Results: We identified the following research priorities: establish an ICU SCD definition, further develop rigorous and feasible ICU SCD measures, test associations between ICU SCD domains and outcomes, promote the inclusion of mechanistic and patient-centered outcomes within large clinical studies, leverage implementation science strategies to maximize intervention fidelity and sustainability, and collaborate among investigators to harmonize methods and promote multisite investigation. Conclusions: ICU SCD is a complex and compelling potential target for improving ICU outcomes. Given the influence on all other research priorities, further development of rigorous, feasible ICU SCD measurement is a key next step in advancing the field.

Effect of low-dose dexmedetomidine on sleep quality in postoperative patients with mechanical ventilation in the intensive care unit: A pilot randomized trial

Background

Sleep disturbances are prevalent in patients requiring invasive mechanical ventilation in the intensive care unit (ICU) and are associated with worse outcomes. Sedative-dose dexmedetomidine may improve sleep quality in this patient population but is associated with adverse events. Herein, we tested the effect of low-dose dexmedetomidine infusion on nighttime sleep quality in postoperative ICU patients with invasive ventilation.

Methods

In this pilot randomized trial, 80 adult patients who were admitted to the ICU after non-cardiac surgery and required invasive mechanical ventilation were randomized to receive either low-dose dexmedetomidine (0.1 to 0.2 μg/kg/h, n = 40) or placebo (n = 40) for up to 72 h. The primary endpoint was overall subjective sleep quality measured using the Richards–Campbell Sleep Questionnaire (score ranges from 0 to 100, with a higher score indicating better quality) in the night of surgery. Secondary outcomes included sleep structure parameters monitored with polysomnography from 9:00 PM on the day of surgery to the next 6:00 AM.

Results

All 80 patients were included in the intention-to-treat analysis. The overall subjective sleep quality was median 52 (interquartile 20, 66) with placebo vs. 61 (27, 79) with dexmedetomidine, and the difference was not statistically significant (median difference 8; 95% CI: −2, 22; P = 0.120). Among 68 patients included in sleep structure analysis, those in the dexmedetomidine group tended to have longer total sleep time [median difference 54 min (95% CI: −4, 120); P = 0.061], higher sleep efficiency [median difference 10.0% (95% CI: −0.8%, 22.3%); P = 0.060], lower percentage of stage N1 sleep [median difference −3.9% (95% CI: −11.8%, 0.5%); P = 0.090], higher percentage of stage N3 sleep [median difference 0.0% (95% CI: 0.0%, 0.4%); P = 0.057], and lower arousal index [median difference −0.9 (95% CI −2.2, 0.1); P = 0.091] but not statistically significant. There were no differences between the two groups regarding the incidence of adverse events.

Conclusion

Among patients admitted to the ICU after surgery with intubation and mechanical ventilation, low-dose dexmedetomidine infusion did not significantly improve the sleep quality pattern, although there were trends of improvement. Our findings support the conduct of a large randomized trial to investigate the effect of low-dose dexmedetomidine in this patient population.

Clinical trial registration

ClinicalTrial.gov, identifier: NCT03335527.

Sleep assessment in critically ill adults: A systematic review and meta-analysis

PURPOSE

To systematically review sleep evaluation, characterize sleep disruption, and explore effects of sleepdisruption on outcomes in adult ICU patients.

MATERIALS AND METHODS

We systematically searched databases from May 1969 to June 2021 (PROSPERO protocol number: CRD42020175581). Prospective and retrospective studies were included studying sleep in critically ill adults, excluding patients with sleep or psychiatric disorders. Meta-regression methods were applied when feasible.

RESULTS

132 studies (8797 patients) were included. Fifteen sleep assessment methods were identified, with only two validated. Patients had significant sleep disruption, with low sleep time, and low proportion of restorative rapid eye movement (REM). Sedation was associated with higher sleep efficiency and sleep time. Surgical versus medical patients had lower sleep quality. Patients on ventilation had a higher amount of light sleep. Meta-regression only suggested an association between total sleep time and occurrence of delirium (p < 0.001, 15 studies, 519 patients). Scarce data precluded further analyses. Sleep characterized with polysomnography (PSG) correlated well with actigraphy and Richards Campbell Sleep Questionnaire (RCSQ).

CONCLUSIONS

Sleep in critically ill patients is severely disturbed, and actigraphy and RCSQ seem reliable alternatives to PSG. Future studies should evaluate impact of sleep disruption on outcomes.

Sensitivity and specificity of proposed Richards‐Campbell Sleep Questionnaire cut‐off scores for good quality sleep during an ICU stay

BACKGROUND

The 5-visual analogue scale Richards-Campbell Sleep Questionnaire subjective sleep measure is widely used in intensive care. A cut-off score indicative of good quality sleep has not been established and is required to guide the categorisation of individual patient and unit wide sleep quality.

DESIGN AND METHODS

The aim was to determine the global Richards-Campbell Sleep Questionnaire cut-off score for good to very good sleep during an intensive care unit stay in non-ventilated patients. The study was a secondary (cohort) retrospective analysis of patient self-report data (n = 32) from an interventional study testing a sleep promotion bundle. The Standards for Reporting Diagnostic Accuracy studies statement were used to report the study. The study was conducted in two mixed adult 12 and 20-bed ICUs of a tertiary referral hospital in a metropolitan area. In the morning, eligible patients were administered the Richards-Campbell Sleep Questionnaire together with a 5-category item Likert scale in which patients rated their nocturnal sleep quality as 'very poor', 'poor', 'fair', 'good' and 'very good'. Receiver Operator Curve analysis was performed.

RESULTS

Thirty-seven per cent (n = 32) of the total sample of 84 adult intensive care patients were females. The median age was 61.5 (51, 72) years. Self-reported median global Richards-Campbell Sleep Questionnaire score was 54.4 (30.1, 77.1) mm. A global score of ≥63.4 mm was the optimal cut-off for self-reported 'good sleep' (sensitivity: 87%, specificity: 81% and area under the curve: 0.896).

CONCLUSIONS

Although the study requires replication in ventilated patients and other ICU settings, the cut-off score (63 mm) could be used to guide the categorisation of individual patient and unit wide sleep quality.

Noise Levels and Sleep in a Surgical ICU

Sleep is disturbed in critically ill patients and is a frequently overlooked complication. The aim of our study is to evaluate the impact of sound levels in our surgical ICU on our patients’ sleep on the first night of admission. The study was performed in a tertiary care university hospital, in a 12-bed surgical ICU. Over a 6-week period, a total of 148 adult, non-intubated and non-sedated patients completed the study. During this six-week period, sound levels were continuously measured using a type II sound level meter. Sleep quality was evaluated using the Richards–Campbell Sleep Questionnaire (RCSQ), which was completed both by patients and nurses on the first morning after admission. A non-significant correlation was found between night sound levels and sleep quality in the overall sample (r = −1.83, 95% CI; −4.54 to 0.88, p = 0.19). After multivariable analysis, a correlation was found between higher sound levels at night and lower RCSQ evaluations (r = −3.92, 95% CI; −7.57 to −0.27, p = 0.04). We found a significant correlation between lower sound levels at night and a better quality of sleep in our patients; for each 1 dBA increase in LAFeq sound levels at night, patients scored 3.92 points lower on the sleep questionnaire.

The accuracy of simple, feasible alternatives to polysomnography for assessing sleep in intensive care: An observational study

BACKGROUND

Sleep disturbance is common in intensive care patients. Understanding the accuracy of simple, feasible sleep measurement techniques is essential to informing their possible role in usual clinical care.

OBJECTIVE

The aim of the study was to investigate whether sleep monitoring techniques such as actigraphy (ACTG), behavioural assessments, and patient surveys are comparable with polysomnography (PSG) in accurately reporting sleep quantity and quality among conscious, intensive care patients.

METHODS

An observational study was conducted in 20 patients admitted to the intensive care unit (ICU) for a minimum duration of 24 h, who underwent concurrent sleep monitoring via PSG, ACTG, nursing-based observations, and self-reported assessment using the Richards-Campbell Sleep Questionnaire.

RESULTS

The reported total sleep time (TST) for the 20 participants measured by PSG was 328.2 min (±106 min) compared with ACTG (362.4 min [±62.1 min]; mean difference = 34.22 min [±129 min]). Bland-Altman analysis indicated that PSG and ACTG demonstrated clinical agreement and did not perform differently across a number of sleep variables including TST, awakening, sleep-onset latency, and sleep efficiency. Nursing observations overestimated sleep duration compared to PSG TST (mean difference = 9.95 ± 136.3 min, p > 0.05), and patient-reported TST was underestimated compared to PSG TST (mean difference = -51.81 ± 144.1 7, p > 0.05).

CONCLUSIONS

Amongst conscious patients treated in the ICU, sleep characteristics measured by ACTG were similar to those measured by PSG. ACTG may provide a clinically feasible and acceptable proxy approach to sleep monitoring in conscious ICU patients.

2022 Society of Critical Care Medicine Clinical Practice Guidelines on Prevention and Management of Pain, Agitation, Neuromuscular Blockade, and Delirium in Critically Ill Pediatric Patients With Consideration of the ICU Environment and Early Mobility

RATIONALE

A guideline that both evaluates current practice and provides recommendations to address sedation, pain, and delirium management with regard for neuromuscular blockade and withdrawal is not currently available.

OBJECTIVE

To develop comprehensive clinical practice guidelines for critically ill infants and children, with specific attention to seven domains of care including pain, sedation/agitation, iatrogenic withdrawal, neuromuscular blockade, delirium, PICU environment, and early mobility.

DESIGN

The Society of Critical Care Medicine Pediatric Pain, Agitation, Neuromuscular Blockade, and Delirium in critically ill pediatric patients with consideration of the PICU Environment and Early Mobility Guideline Taskforce was comprised of 29 national experts who collaborated from 2009 to 2021 via teleconference and/or e-mail at least monthly for planning, literature review, and guideline development, revision, and approval. The full taskforce gathered annually in-person during the Society of Critical Care Medicine Congress for progress reports and further strategizing with the final face-to-face meeting occurring in February 2020. Throughout this process, the Society of Critical Care Medicine standard operating procedures Manual for Guidelines development was adhered to.

METHODS

Taskforce content experts separated into subgroups addressing pain/analgesia, sedation, tolerance/iatrogenic withdrawal, neuromuscular blockade, delirium, PICU environment (family presence and sleep hygiene), and early mobility. Subgroups created descriptive and actionable Population, Intervention, Comparison, and Outcome questions. An experienced medical information specialist developed search strategies to identify relevant literature between January 1990 and January 2020. Subgroups reviewed literature, determined quality of evidence, and formulated recommendations classified as "strong" with "we recommend" or "conditional" with "we suggest." Good practice statements were used when indirect evidence supported benefit with no or minimal risk. Evidence gaps were noted. Initial recommendations were reviewed by each subgroup and revised as deemed necessary prior to being disseminated for voting by the full taskforce. Individuals who had an overt or potential conflict of interest abstained from relevant votes. Expert opinion alone was not used in substitution for a lack of evidence.

RESULTS

The Pediatric Pain, Agitation, Neuromuscular Blockade, and Delirium in critically ill pediatric patients with consideration of the PICU Environment and Early Mobility taskforce issued 44 recommendations (14 strong and 30 conditional) and five good practice statements.

CONCLUSIONS

The current guidelines represent a comprehensive list of practical clinical recommendations for the assessment, prevention, and management of key aspects for the comprehensive critical care of infants and children. Main areas of focus included 1) need for the routine monitoring of pain, agitation, withdrawal, and delirium using validated tools, 2) enhanced use of protocolized sedation and analgesia, and 3) recognition of the importance of nonpharmacologic interventions for enhancing patient comfort and comprehensive care provision.

Sleep improvement intervention and its effect on patients' sleep on the ward

AIM AND OBJECTIVE

The aim of the study was to investigate how the sleep improvement interventions developed for the wards were associated with patients' sleep. The objective was to promote patients' sleep.

BACKGROUND

The quality of sleep is vital for patients' health and recovery from illness. However, patients generally sleep poorly during hospitalisation. Sleep-disturbing factors are connected to the hospital environment, patients' physical illness, emotional state and the activities of the staff. Many sleep-disturbing factors can be influenced by appropriate nursing interventions.

DESIGN

A two-group intervention study including the development of nursing interventions aimed at supporting patients' sleep. One group received a sleep promotion intervention and the other received standard care. Both groups evaluated their sleep in the morning.

METHODS

A survey of participants' sleep evaluations was collected with the five-item Richards-Campbell Sleep Questionnaire. The data were analysed statistically. The STROBE checklist was used to report the study.

RESULTS

From the participants' perspective, sleep was better in the intervention group, even though statistically significantly only among men. The pain intensity correlated with sleep quality. The number of patients in the room or whether participants had had an operation had no effect on their sleep evaluations.

CONCLUSIONS

Interventions targeted at supporting and promoting the sleep quality of hospital inpatients may be effective. They should be developed in collaboration with patients and nurses. Several nursing interventions can be proposed to promote better sleep among patients; however, more research is needed to confirm the results. Sleep promotion should include both standardised protocols and individualised sleep support.

RELEVANCE TO CLINICAL PRACTICE

Investing in nursing interventions to promote patients' sleep is important. Patients' individual sleep-related needs should be part of their care plan. Training programmes that support nurses' knowledge and skills of patients' sleep promotion should be part of nursing education in healthcare organisations.

Updated Perspectives on the Management of Sleep Disorders in the Intensive Care Unit

Sleep disorders and circadian dysrhythmias are extremely prevalent in critically ill patients. Impaired sleep has a variety of etiologies, exhibits a wide range of negative effects and, moreover, might deteriorate the patient's prognosis. Despite a number of scientific findings and increased awareness, the importance of sleep optimization is still lower on the list of priories in the intensive care unit (ICU). The techniques of measuring and the evaluation of sleep quantity and quality are a great challenge in the ICU setting. The subjective and objective tools of sleep validation continue to suffer from deficiencies. Treatment approaches to improve the critically ill patient's sleep have focused on non-pharmacologic and pharmacologic strategies with some promising results. But pharmacological interventions alone could not provide sufficient patient benefit. Being aware and knowing of sleep problems and the beneficial effect of the necessary therapies in ICU patients requires greater acceptance. The application of available methods and the development of new methods to prevent sleep disorders in the ICU offer the potential to improve the critically ill patient's outcome.

Interventions to improve inpatients' sleep quality in intensive care units and acute wards: a literature review

BACKGROUND

Sleep is essential for the physical and psychological restoration of inpatients, and lack of sleep results in sleep deprivation and poor sleep quality, with potentially harmful consequences.

AIM

To summarise sleep-promoting interventions in the Intensive care unit (ICU) and acute ward setting.

METHOD AND RESULTS

Six databases were searched to obtain studies for review and eight studies were selected, appraised, analysed and produced two themes: sleep-disturbing factors and sleep-promoting strategies. Sleep-disturbing factors included environmental factors (such as light and noise), illness-related factors (such as pain, anxiety and discomfort), clinical care and diagnostics. Sleep-promoting strategies included using pharmacological aids (medication) and non-pharmacological aids (reducing noise and disturbances, eye masks, earplugs and educational and behavioural changes).

CONCLUSION

The literature review showed that both ICU and acute ward settings affect patients' sleep and both use similar strategies to improve this. Nevertheless, noise and sleep disturbances remain the most critical sleep-inhibiting factors in both settings. The review recommended future research should focus on behavioural changes among health professionals to reduce noise and improve patients' sleep.

Investigating the construct and concurrent validity of the Richards-Campbell Sleep Questionnaire with intensive care unit patients and home sleepers

BACKGROUND

Sleep is vital to our wellbeing. Critically ill patients are vulnerable with effects of sleep deprivation including weakened immune function, decreased glucose tolerance, and increased sympathetic activity. Intensive care unit (ICU) patients' sleep evaluation is difficult and often not reliable. The most commonly used instrument for assessing ICU patients' perspective of their sleep, Richards-Campbell Sleep Questionnaire (RCSQ), has not been reported to have undergone known-group construct validity testing or concurrent validity testing with the criterion measure of feeling refreshed.

OBJECTIVES

The aim of the study was to explore the construct validity of the RCSQ with known-groups technique and concurrent validity with the criterion measure of feeling refreshed on awakening.

METHODS

A cross-sectional descriptive survey study using the RCSQ was conducted on people sleeping at home (n = 114) over seven nights. The results were compared with the RCSQ sleep scores of nonintubated alert oriented adult ICU patients (n = 114). Home sleepers were also asked to rate how refreshed they felt on awakening. The study was executed and reported in accordance with the STROBE checklist for observational studies.

FINDINGS

RCSQ construct validity was supported because home sleepers' and ICU sleepers' sleep evaluations differed significantly. Home sleepers rated their sleep significantly better than ICU patients in all five sleep domains of the RCSQ. Concurrent validity was supported because the item "feeling refreshed on awakening" correlated strongly with all sleep domains.

CONCLUSIONS

Sleep quality may be accurately measured using the RCSQ in alert people both in the ICU and at home. This study has added to the validity discussion around the RCSQ. The RCSQ can be used for sleep evaluation in ICUs to promote wellbeing and recovery.

An integrative review of comprehensive nursing assessment tools developed based on Gordon's Eleven Functional Health Patterns

PURPOSE

To evaluate the content and psychometric properties of comprehensive nursing assessment tools developed based on The Eleven Functional Health Patterns Assessment Framework.

METHODS

An integrative literature review following Whittemore and Knafl's method and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Searches on PubMed, Cinahl, and Virtual Health Library were conducted between September and December 2018.

FINDINGS

Six out of 146 records were included for review. Four articles were methodological studies and two were descriptive reports of the development of the tools. Tools were heterogenous in terms of their purpose, development, characteristics, and testing. Only one study provided data about construct validity. However, there were commonalities regarding the data that should be assessed in each tool.

CONCLUSIONS

Few comprehensive nursing assessment tools using The Eleven Functional Health Patterns Assessment Framework are available. Purpose, process of development, characteristics, and testing varied among the tools, and most lack robust psychometric testing.

IMPLICATIONS FOR NURSING PRACTICE

This review provided a synthesis of the literature regarding the use of a discipline-specific framework to guide comprehensive nursing assessment. The differences across the tools and the lack of psychometric testing compromise the visibility of nursing and make it difficult to emphasize the contribution of nursing knowledge to patient care.

A Systematic Review of Sleep Measurement in Critically Ill Patients

Background: Clinical trialists and clinicians have used a number of sleep quality measures to determine the outcomes of interventions to improve sleep and ameliorate the neurobehavioral consequences of sleep deprivation in critically ill patients, but findings have not always been consistent. To elucidate the source of these consistencies, an important consideration is responsiveness of existing sleep measures. The purpose of an evaluative measure is to describe a construct of interest in a specific population, and to measure the extent of change in the construct over time. This systematic literature review identified measures of sleep quality in critically ill adults hospitalized in the Intensive Care Unit (ICU), and assessed their measurement properties, strengths and weaknesses, clinical usefulness, and responsiveness. We also recommended modifications, including new technology, that may improve clinical usefulness and responsiveness of the measures in research and practice.

Methods: CINAHAL, PubMed/Medline, and Cochrane Library were searched from January 1, 2000 to February 1, 2020 to identify studies that evaluated sleep quality in critically ill patients.

Results: Sixty-two studies using polysomnography (PSG) and other electroencephalogram-based methods, actigraphy, clinician observation, or patient perception using questionnaires were identified and evaluated. Key recommendations are: standard criteria are needed for scoring PSG in ICU patients who often have atypical brain waves; studies are too few, samples sizes too small, and study duration too short for recommendations on electroencephalogram-based measures and actigraphy; use the Sleep Observation Tool for clinician observation of sleep; and use the Richards Campbell Sleep Questionnaire to measure patient perception of sleep.

Conclusions: Measuring the impact of interventions to prevent sleep deprivation requires reliable and valid sleep measures, and investigators have made good progress developing, testing, and applying these measures in the ICU. We recommend future large, multi-site intervention studies that measure multiple dimensions of sleep, and provide additional evidence on instrument reliability, validity, feasibility and responsiveness. We also encourage testing new technologies to augment existing measures to improve their feasibility and accuracy.

Impact of sound levels and patient-related factors on sleep of patients in the intensive care unit: a cross-sectional cohort study

Sleep disruption is common in patients in the intensive care unit (ICU). The aim of the study was to measure sound levels during sleep-protected time in the ICU, determine sources of sound, assess the impact of sound levels and patient-related factors on duration and quality of patients' sleep. The study was performed between 2018 and 2019. A commercially available smartphone application was used to measure ambient sound levels. Sleep duration was measured using the Patient's Sleep Behaviour Observational Tool. Sleep quality was assessed using the Richards-Campbell Sleep Questionnaire (RCSQ). The study population comprised 18 (58%) men and 13 (42%) women. There were numerous sources of sound. The median duration of sleep was 5 (IQR 3.5–5.7) hours. The median score on the RCSQ was 49 (IQR 28–71) out of 100 points. Sound levels were negatively correlated with sleep duration. The cut-off peak sound level, above which sleep duration was shorter than mean sleep duration in the cohort, was 57.9 dB. Simple smartphone applications can be useful to estimate sound levels in the ICU. There are numerous sources of sound in the ICU. Individual units should identify and eliminate their own sources of sound. Sources of sound producing peak sound levels above 57.9 dB may lead to shorter sleep and should be eliminated from the ICU environment. The sound levels had no effect on sleep quality.

An Arabic Translation, Reliability, Validity, and Feasibility of the Richards-Campbell Sleep Questionnaire for Sleep Quality Assessment in ICU: Prospective-Repeated Assessments

BACKGROUND AND PURPOSE

To translate Richards-Campbell Sleep Questionnaire (RCSQ) into the Arabic language (RCSQ-A), to assess content validity of the translated tool, to analyze the internal consistency, and to evaluate its feasibility.

METHODS

A rigorous translation was completed using the process of translation by World Health Organization. Cognitive debriefing interviews were performed. Repeated assessments using RCSQ-A was conducted in critical care patients in Saudi Arabia.

RESULT

Cronbach's alpha of .89 was seen in the RCSQ-A. The cognitive interviews showed that the RCSQ-A well understood and interpreted correctly and consistently. Fifty-seven participants reported their sleep using RCSQ-A a total of 110 times.

CONCLUSION

RCSQ-A has adequate translation validity, provided good internal consistency and content validity, making it suitable for use as a measurement tool in practice and research in Arabic-speaking countries.

Measuring sleep in the intensive care unit: Electroencephalogram, actigraphy, or questionnaire?

BACKGROUND

Studies consistently report deranged sleep in patients admitted to intensive care unit. Poor sleep has harmful physical and cognitive effects, and an evidence-based intervention to improve sleep is needed. It is, however, difficult to measure sleep in the intensive care unit. 'Gold standard' monitoring (polysomnography) is unsuitable for usual care.

METHODS

We collected concurrent sleep data from electroencephalograph recordings, activity monitoring, and nurse- and patient-completed Richards-Campbell Sleep Questionnaires (RCSQ).

RESULTS

Electroencephalograph data (n = 34) confirm poor sleep. Individual bouts last approximately 1 min and around 2 h of sleep overnight is common. Correlation between electroencephalograph, self-report, nurse-report, actigraphy and overall activity score is low (ρ = 0.123 (n = 24), 0.127 (n = 22), and 0.402 and - 0.201 (n = 13), respectively). Correlation between nurse and patient assessment is limited (ρ = 0.537 (n = 444)).

CONCLUSIONS

No current method of sleep monitoring seems suitable in the intensive care unit. However, to facilitate comparison across studies, the patient-completed RCSQ seems the most meaningful measure.

Patient-related factors may influence nursing perception of sleep in the Intensive Care Unit

Objective

There exist conflicting data regarding the accuracy of ICU nurses accurately assessing patient sleep using validated questionnaires. Using the Richards-Campbell Sleep Questionnaire (RSQ), we hypothesize that patient factors might influence nursing perception of their sleep.

Methods

Patients in the ICU who met the inclusion criteria were asked to complete the sleep questionnaire, as were their nurses and intraclass correlation analysis was done.

Results

38 paired patient-nurse surveys were included for analysis. The mean difference in total average score of the RSQ was not significantly different between patients and nurses. There was fair intraclass correlation by patient age, black race, and admission for respiratory illnesses. A good intraclass correlation existed for non-blacks and admission for non-respiratory reasons. Most striking was the intraclass correlation by sex, with poor intraclass correlation for women compared to an excellent correlation for men.

Conclusion

The results of our study confirm that patients in our ICU have poor sleep with a fair intraclass correlation. When examined by patient related factor, the greatest divergence between patient and nursing perception of sleep in the ICU using the RCSQ was patient female sex. More research is needed in this area to better understand the divergence and improve sleep in the ICU.

Impact of Light Intensity on Sleep of Patients in the Intensive Care Unit: A Prospective Observational Study

Aims and objectives

Sleep deprivation in the intensive care unit (ICU) has been linked to numerous complications. Light levels might impact the sleep of patients in the ICU. The aim of the study was to measure light levels during sleep-protected time in the ICU and to assess the impact of light intensity on sleep quantity/quality.

Materials and methods

This prospective, observational study was conducted in a 10-bed, mixed surgical/medical ICU. For measuring light levels, a commercially available smartphone application was used. The measurements were performed between 23:30 and 06:15 hours at 15-minute intervals. To assess sleep quantity, we used Patient's Sleep Observation Behavioral Tool and to assess sleep quality, we used Richards-Campbell Sleep Scale.

Results

The median number of time points at which patients were asleep was 20 (interquartile range, IQR 14-23) out of 25 (5 hours). The median self-reported quality of sleep (overall score) was 49 (IQR 28-71). The median values for individual questions are: question 1 (sleep depth)-54.0 (IQR 37-78), question 2 (sleep latency)-40.5 (IQR 6-90), question 3 (awakenings)-52.5 (IQR 28-76), question 4 (returning to sleep)-25.5 (IQR 11-78), and question 5 (sleep quality)-67.5 (IQR 5-76). No correlation was found between self-reported sleep quality and time spent asleep (p = 0.36). There was no correlation between average light levels during sleep-protected time and sleep quantity (p = 0.42)/sleep quality (p = 0.13). There was a correlation between average (13 ± 5 lux) light levels before sleep-protected time and sleep quality (p = 0.008).

Conclusion

Mean light levels of 11 ± 9 lux during sleep-protected time have no negative impact on quantity and quality of sleep in intensive care unit patients. Light levels up to 18 lux directly before falling asleep improve patients' self-reported quality of sleep in the ICU.

Clinical significance

Finding safe levels of light intensity during sleep-protected time in ICU.

How to cite this article

Czempik PF, Jarosińska A, Machlowska K, Pluta M. Impact of Light Intensity on Sleep of Patients in the Intensive Care Unit: A Prospective Observational Study. Indian J Crit Care Med 2020;24(1):33-37.

Common Challenges to Effective ABCDEF Bundle Implementation: The ICU Liberation Campaign Experience

Although growing evidence supports the safety and effectiveness of the ABCDEF bundle (A, assess, prevent, and manage pain; B, both spontaneous awakening and spontaneous breathing trials; C, choice of analgesic and sedation; D, delirium: assess, prevent, and manage; E, early mobility and exercise; and F, family engagement and empowerment), intensive care unit providers often struggle with how to reliably and consistently incorporate this interprofessional, evidence-based intervention into everyday clinical practice. Recently, the Society of Critical Care Medicine completed the ICU Liberation ABCDEF Bundle Improvement Collaborative, a 20-month, nationwide, multicenter quality improvement initiative that formalized dissemination and implementation strategies and tracked key performance metrics to overcome barriers to ABCDEF bundle adoption. The purpose of this article is to discuss some of the most challenging implementation issues that Collaborative teams experienced, and to provide some practical advice from leading experts on ways to overcome these barriers.

Prospective repeated assessment of self-reported sleep quality and sleep disruptive factors in the intensive care unit: acceptability of daily assessment of sleep quality

INTRODUCTION

Despite the importance of sleep, the assessment of sleep quality does not form part of standard clinical care in intensive care unit (ICU). Continuous assessment of self-reported quality of ICU patients' sleep has been strongly recommended. Prior to implementing such an assessment in the ICU, it is important to assess the acceptability of this method of assessment to the ICU's patients. The aims of this study were to assess the acceptability to ICU patients of completing daily self-reports on sleep quality during their ICU stay and to assess ICU patients' self-reported sleep quality and sleep disruptive factors during their time in ICU.

METHODS

An observational prospective-repeated assessment was conducted on n=120 patients in an ICU in Saudi Arabia. The participants were both intubated and non-intubated.

OUTCOMES MEASURES

Over a 3-month period, sleep quality was assessed using the Arabic version of the Richards-Campbell Sleep Questionnaire (RCSQ-A), and self-reported sleep disruptive factors were identified. Clinical factors, such as ICU interventions, and previously administered sedatives were also examined. The patients' acceptance of completing daily RCSQ-A reports was assessed using various indicators of acceptability.

RESULTS

A total of 381 self-reports (RCSQ-A) were collected for this analysis. The patients reported 34.4±5.60, indicating that sleep quality was poor on average. The group of intubated patients reported much poorer sleep quality during intubation than after extubation. In the multivariate analysis, factors which most significantly affected sleep (exp(b), p value) were midazolam (-6.424, p<0.0005), propofol (-3.600, p<0.05), noise (-1.033, p<0.05), gender (1.836, p<0.05), daytime sleepiness (0.856, p<0.05) and the presence of mechanical ventilation (-1.218, p<0.05).

CONCLUSION

The acceptability and feasibility of using daily RCSQ-A for sleep quality assessment was demonstrated. Sleep quality was reported as poor by all participants and the factors affecting sleep were varied. This study provided various recommendations for healthcare providers and researchers in terms of evaluating and improving sleep quality in ICU patients.

Development and daily use of a numeric rating score to assess sleep quality in ICU patients

PURPOSE

Insufficient sleep burdens critically ill patients, optimizing sleep may enhance patient's outcomes. Current assessment methods may unnecessary burden patients. Therefore, a single numeric rating score was validated for sleep assessment.

MATERIALS AND METHODS

First, two cross-sectional measurements on two separate days, from cooperative patients from 19 centers assessed their sleep sufficiency, the numeric rating score (NRS) and the Richards Campbell Sleep Questionnaire (RCSQ). Assessments were compared using a Bland Altman plot. A NRS cut-off was determined using regression analysis. Second, daily sleep assessment was implemented and monitored single center for a year.

RESULTS

Multicenter, 194 patients assessed sleep quality, of which 53% was rated as sufficient. Mean (±SD) difference between RCSQ and NRS-Sleep using Bland-Altman analysis was 0.25 (±1.21, 95% limits of agreement -2.12 to 2.62). The optimal cut-off was >5. Single center, 1603 patients ranked 4532 ICU nights of sleep, of which 71% was sufficient; median NRS was 6 [IQR 5-7].

CONCLUSIONS

A single numeric rating score for sleep is interchangeable for the RCSQ score for assessment of sleep quality. Optimal cut-off is >5. Use of a numeric rating score for sleep is a practical way to evaluate and monitor sleep as perceived by patients in daily ICU practice.

Patients' perceptions of sleep in a Critical Care Unit

INTRODUCTION AND OBJECTIVES

Patients' sleep can be disturbed during their stay in an Intensive Care Unit. Many factors can explain this disturbance, both within the ICU environment and caused by patients' illnesses. There is evidence that patients' sleep can be improved within ICUs. The aim of this study is to describe patientś perceptions of a night's sleep and develop a care plan that promotes a night's sleep.

METHODOLOGY

A prospective descriptive study was performed in the ICU of a training hospital. The sleep of 125 patients was explored. Sociodemographic and clinical variables were collected from patients' medical records. The 5-item Richards-Campbell Sleep Questionnaire was utilised to assess patients' perception of a night's sleep. In addition, an ad-hoc 9-item questionnaire was developed which included factors that can affect sleep according to the literature. Patients had to grade the level of interference of those factors with their night's sleep.

RESULTS

The sleep of patients in our Intensive Care Unit was moderately deep, with light arousals and ease in falling sleep again. The average value on the Richards-Campbell Sleep Questionnaire was 52.92mm. The factors that significantly interfered with sleep were: pain (P=0.009), worries/anxiety (P=.01), staff voices (P=0.033), alarm/medical devices sounds (P=0.047) and peripheral intravenous lines (P=.036).

CONCLUSIONS

Our patients' perception of a night's sleep in the ICU was fair. Optimising pain management, answering questions or worries, minimizing background noise and voices have the potential to improve sleep quality.

Repeated sleep-quality assessment and use of sleep-promoting interventions in ICU

To describe sleep quality using repeated subjective assessment and the ongoing use of sleep-promoting interventions in intensive care. It is well known that the critically ill experience sleep disruption while receiving treatment in the intensive care unit. Both the measurement and promotion of sleep is challenging in the complex environment of intensive care unit. Repeated subjective assessment of patients' sleep in the intensive care unit and use of sleep-promoting interventions has not been widely reported. An observational study was conducted in a 58-bed adult intensive care unit. Sleep quality was assessed using the Richards-Campbell Sleep Questionnaire (RCSQ) each morning. intensive care unit audit sleep-promoting intervention data were compared to data obtained prior to the implementation of a sleep guideline. Patients answered open-ended questions about the facilitators and deterrents of their sleep in intensive care unit. The sample (n = 50) was predominately male (76%) with a mean age: 62.6±16.9 years. Sleep quality was assessed on 2 days or more for 21 patients. The majority of patients (98%) received sleep-promoting interventions. Sleep quality had not improved significantly since the guideline was first implemented. The mean Richards-Campbell Sleep Questionnaire score was 47.9±24.1 mm. The main sleep deterrents were discomfort and noise. Frequently cited facilitators were nothing (i.e. nothing helped) and analgesia. The Richards-Campbell Sleep Questionnaire was used on repeated occasions, and sleep-promoting interventions were used extensively. There was no evidence of improvement in sleep quality since the implementation of a sleep guideline. The use of the Richards-Campbell Sleep Questionnaire for the subjective self-assessment of sleep quality in intensive care unit patients and the implementation of simple-promoting interventions by intensive care unit clinicians is both feasible and may be the most practical way to assess sleep in the intensive care unit context.

Respiratory polygraphy monitoring of intensive care patients receiving non-invasive ventilation

Introduction

Patients that started on Non-Invasive Ventilation (NIV) need to define several parameters selected on the basis of diurnal arterial blood gas and underlying disease. We hypothesize that respiratory polygraphy (RP) could be useful to monitor NIV. This retrospective work describes RP findings and their impact on the setting of continuous flow ventilators from patients on NIV of Intensive Care Unit (ICU).

Material and Methods

Patient's data on NIV from at the ICU of Hospital Británico were included in this study. RP recordings were performed in all of them. Respiratory events, such as ventilatory pattern changes, impact on oximetry or tidal volume, were observed to modify the ventilatory mode after RP.

Results

The RP findings have contributes to change the ventilatory mode for one third of the patients. The mean values of expiratory positive airway pressure (EPAP) and inspiratory positive airway pressure (IPAP) were not significantly different across all the population before or after RP: 8.7±0.3 vs. 8.6±0.4; p<0.88 and 18.6±0.6 vs. 17.7±0.7; p<0.26 respectively, however, half the patients presented > 2 cmH₂O pressure value changes after RP.

Conclusions

RP recordings could contribute to broad range of data useful to make decisions about changes in programming and allowed to identify adverse events related to positive pressure.