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Background: Patients with head and neck cancer (HNC) undergoing radiation therapy (RT) often experience sleep disturbances that may contribute to oral mucositis (OM) and quality of life (QOL)., Methods: Patients with HNC treated with RT at a single institution were examined. Sleep questionnaires were given on the first day of RT to assess for insomnia and obstructive sleep apnea (OSA). Patient-reported QOL and oral mucositis were assessed during RT. Associations between insomnia and OSA with QOL were assessed using the Mann-Whitney U test. Linear mixed models assessed associations with OM., Results: Among 87 patients, 34 patients (39%) had subthreshold or greater insomnia and 47 patients (54%) screened positive for OSA. Upon RT completion, patients with subthreshold or greater insomnia had worse physical function ( p = 0.005), fatigue ( p = 0.01), insomnia ( p < 0.001), and sticky saliva ( p = 0.002). Patients screening positive for OSA had worse physical function ( p = 0.01), sticky saliva ( p = 0.02), fatigue ( p = 0.007), insomnia ( p = 0.009), and pain ( p = 0.005). Upon linear mixed model evaluation, subthreshold or greater insomnia ( p = 0.01) and positive OSA screen ( p = 0.002) were associated with worse OM., Conclusion: Insomnia and OSA are highly prevalent in patients with HNC undergoing RT. These sleep disturbances are associated with worse QOL and OM during treatment.

Patient deterioration is a phenomenon that occurs from the inability to recognize it or respond to a change in condition. Despite the published reports on recognizing a deteriorating patient on general care floors, a gap remains in the ability of nurses to describe the concept, affecting patient outcomes. Walker and Avant's approach was applied to analyze patient deterioration. The aim of this article was to explore and clarify the meaning of patient deterioration and identify attributes, antecedents, and consequences. The defining attributes were compared to early warning scores. An operational definition was developed and its value to nurses established., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Capnography is commonly used for nurse-administered procedural sedation. Distinguishing between capnography waveform abnormalities that signal the need for clinical intervention for an event and those that do not indicate the need for intervention is essential for the successful implementation of this technology into practice. It is possible that capnography alarm management may be improved by using machine learning to create a "smart alarm" that can alert clinicians to apneic events that are predicted to be prolonged., Objective: To determine the accuracy of machine learning models for predicting at the 15-second time point if apnea will be prolonged (ie, apnea that persists for >30 seconds)., Methods: A secondary analysis of an observational study was conducted. We selected several candidate models to evaluate, including a random forest model, generalized linear model (logistic regression), least absolute shrinkage and selection operator regression, ridge regression, and the XGBoost model. Out-of-sample accuracy of the models was calculated using 10-fold cross-validation. The net benefit decision analytic measure was used to assist with deciding whether using the models in practice would lead to better outcomes on average than using the current default capnography alarm management strategies. The default strategies are the aggressive approach, in which an alarm is triggered after brief periods of apnea (typically 15 seconds) and the conservative approach, in which an alarm is triggered for only prolonged periods of apnea (typically >30 seconds)., Results: A total of 384 apneic events longer than 15 seconds were observed in 61 of the 102 patients (59.8%) who participated in the observational study. Nearly half of the apneic events (180/384, 46.9%) were prolonged. The random forest model performed the best in terms of discrimination (area under the receiver operating characteristic curve 0.66) and calibration. The net benefit associated with the random forest model exceeded that associated with the aggressive strategy but was lower than that associated with the conservative strategy., Conclusions: Decision curve analysis indicated that using a random forest model would lead to a better outcome for capnography alarm management than using an aggressive strategy in which alarms are triggered after 15 seconds of apnea. The model would not be superior to the conservative strategy in which alarms are only triggered after 30 seconds., (©Aaron Conway, Carla R Jungquist, Kristina Chang, Navpreet Kamboj, Joanna Sutherland, Sebastian Mafeld, Matteo Parotto. Originally published in JMIR Perioperative Medicine (http://periop.jmir.org), 05.10.2021.)

Introduction: Despite the high incidence of respiratory depression on the general care floor and evidence that continuous monitoring improves patient outcomes, the cost-benefit of continuous pulse oximetry and capnography monitoring of general care floor patients remains unknown. This study modeled the cost and length of stay savings, investment break-even point, and likelihood of cost savings for continuous pulse oximetry and capnography monitoring of general care floor patients at risk for respiratory depression., Methods: A decision tree model was created to compare intermittent pulse oximetry versus continuous pulse oximetry and capnography monitoring. The model utilized costs and outcomes from the PRediction of Opioid-induced respiratory Depression In patients monitored by capnoGraphY (PRODIGY) trial, and was applied to a modeled cohort of 2447 patients receiving opioids per median-sized United States general care floor annually., Results: Continuous pulse oximetry and capnography monitoring of high-risk patients is projected to reduce annual hospital cost by $535,531 and cumulative patient length of stay by 103 days. A 1.5% reduction in respiratory depression would achieve a break-even investment point and justify the investment cost. The probability of cost saving is ≥ 80% if respiratory depression is decreased by ≥ 17%. Expansion of continuous monitoring to high- and intermediate-risk patients, or to all patients, is projected to reach a break-even point when respiratory depression is reduced by 2.5% and 3.5%, respectively, with a ≥ 80% probability of cost savings when respiratory depression decreases by ≥ 27% and ≥ 31%, respectively., Conclusion: Compared to intermittent pulse oximetry, continuous pulse oximetry and capnography monitoring of general care floor patients receiving opioids has a high chance of being cost-effective., Trial Registration: www.clinicaltrials.gov , Registration ID: NCT02811302., (© 2021. The Author(s).)

Background: Opioid-induced respiratory depression is common on the general care floor. However, the clinical and economic burden of respiratory depression is not well-described. The PRediction of Opioid-induced respiratory Depression In patients monitored by capnoGraphY (PRODIGY) trial created a prediction tool to identify patients at risk of respiratory depression. The purpose of this retrospective sub-analysis was to examine healthcare utilization and hospital cost associated with respiratory depression., Methods: One thousand three hundred thirty-five patients (N = 769 United States patients) enrolled in the PRODIGY trial received parenteral opioids and underwent continuous capnography and pulse oximetry monitoring. Cost data was retrospectively collected for 420 United States patients. Differences in healthcare utilization and costs between patients with and without ≥1 respiratory depression episode were determined. The impact of respiratory depression on hospital cost per patient was evaluated using a propensity weighted generalized linear model., Results: Patients with ≥1 respiratory depression episode had a longer length of stay (6.4 ± 7.8 days vs 5.0 ± 4.3 days, p = 0.009) and higher hospital cost ($21,892 ± $11,540 vs $18,206 ± $10,864, p = 0.002) compared to patients without respiratory depression. Patients at high risk for respiratory depression, determined using the PRODIGY risk prediction tool, who had ≥1 respiratory depression episode had higher hospital costs compared to high risk patients without respiratory depression ($21,948 ± $9128 vs $18,474 ± $9767, p = 0.0495). Propensity weighted analysis identified 17% higher costs for patients with ≥1 respiratory depression episode (p = 0.007). Length of stay significantly increased total cost, with cost increasing exponentially for patients with ≥1 respiratory depression episode as length of stay increased., Conclusions: Respiratory depression on the general care floor is associated with a significantly longer length of stay and increased hospital costs. Early identification of patients at risk for respiratory depression, along with early proactive intervention, may reduce the incidence of respiratory depression and its associated clinical and economic burden., Trial Registration: ClinicalTrials.gov , NCT02811302 .

Objective/Background : Insomnia occurs in 50 to 80% of lung cancer survivors. Cognitive behavioral therapy is the standard treatment for insomnia (CBTI); however, treatment length and lack of psychologists trained in CBTI limits access. Brief Behavioral Treatment for Insomnia (BBTI), a nurse-delivered modified CBTI, is proposed. This feasibility pilot study sought to compare the BBTI intervention to attention control Healthy Eating Program (HEP) for insomnia in lung cancer survivors. Participants : The participants comprised adults, 21 years of age or older with insomnia and stage I/II non-small cell lung cancer, more than 6 weeks from surgery and living in Western NY. Methods : Participants (n = 40) were randomly assigned to an experimental (BBTI) or attention control condition (Healthy Eating Program). Thirty participants completed the study. Results : Participants were 66 years of age (± 7.6; range 53-82), 40% (n = 16) male, 87.5% (n = 35) Caucasian, 50% (n = 20) married, BMI 27.7 (± 5.8), and 12% (n = 5) never smokers. Baseline sleep diary sleep efficiency, ISI and other baseline covariates were balanced between the groups. Sleep efficiency improved ≥85% in BBTI group ( p = .02), but not in HEP control group ( p = 1.00). Mean ISI for BBTI and attention control were 6.40 ± 4.98 and 14.10 ± 4.48 ( p = .001) respectively. In addition, BBTI group mean total FACT-L score improved by 6.66 points from baseline while HEP group score worsened ( p = .049). Conclusions : BBTI is a practical, evidence-based, clinically relevant intervention that improved sleep and quality of life in lung cancer survivors with insomnia. Additional research to evaluate efficacy, duration, and implementation strategies are essential.

Background: Circadian misalignment can impair healthcare shift workers' physical and mental health, resulting in sleep deprivation, obesity, and chronic disease. This multidisciplinary research team assessed eating patterns and sleep/physical activity of healthcare workers on three different shifts (day, night, and rotating-shift). To date, no study of real-world shift workers' daily eating and sleep has utilized a largely-objective measurement., Method: During this fourteen-day observational study, participants wore two devices (Actiwatch and Bite Technologies counter) to measure physical activity, sleep, light exposure, and eating time. Participants also reported food intake via food diaries on personal mobile devices., Results: In fourteen (5 day-, 5 night-, and 4 rotating-shift) participants, no baseline difference in BMI was observed. Overall, rotating-shift workers consumed fewer calories and had less activity and sleep than day- and night-shift workers. For eating patterns, compared to night- and rotating-shift, day-shift workers ate more frequently during work days. Night workers, however, consumed more calories at work relative to day and rotating workers. For physical activity and sleep, night-shift workers had the highest activity and least sleep on work days., Conclusion: This pilot study utilized primarily objective measurement to examine shift workers' habits outside the laboratory. Although no association between BMI and eating patterns/activity/sleep was observed across groups, a small, homogeneous sample may have influenced this. Overall, shift work was associated with 1) increased calorie intake and higher-fat and -carbohydrate diets and 2) sleep deprivation. A larger, more diverse sample can participate in future studies that objectively measure shift workers' real-world habits., Competing Interests: The authors have no competing interests to declare., (Copyright: © 2020 The Author(s).)

Background: Opioid-related adverse events are a serious problem in hospitalized patients. Little is known about patients who are likely to experience opioid-induced respiratory depression events on the general care floor and may benefit from improved monitoring and early intervention. The trial objective was to derive and validate a risk prediction tool for respiratory depression in patients receiving opioids, as detected by continuous pulse oximetry and capnography monitoring., Methods: PRediction of Opioid-induced respiratory Depression In patients monitored by capnoGraphY (PRODIGY) was a prospective, observational trial of blinded continuous capnography and oximetry conducted at 16 sites in the United States, Europe, and Asia. Vital signs were intermittently monitored per standard of care. A total of 1335 patients receiving parenteral opioids and continuously monitored on the general care floor were included in the analysis. A respiratory depression episode was defined as respiratory rate ≤5 breaths/min (bpm), oxygen saturation ≤85%, or end-tidal carbon dioxide ≤15 or ≥60 mm Hg for ≥3 minutes; apnea episode lasting >30 seconds; or any respiratory opioid-related adverse event. A risk prediction tool was derived using a multivariable logistic regression model of 46 a priori defined risk factors with stepwise selection and was internally validated by bootstrapping., Results: One or more respiratory depression episodes were detected in 614 (46%) of 1335 general care floor patients (43% male; mean age, 58 ± 14 years) continuously monitored for a median of 24 hours (interquartile range [IQR], 17-26). A multivariable respiratory depression prediction model with area under the curve of 0.740 was developed using 5 independent variables: age ≥60 (in decades), sex, opioid naivety, sleep disorders, and chronic heart failure. The PRODIGY risk prediction tool showed significant separation between patients with and without respiratory depression (P < .001) and an odds ratio of 6.07 (95% confidence interval [CI], 4.44-8.30; P < .001) between the high- and low-risk groups. Compared to patients without respiratory depression episodes, mean hospital length of stay was 3 days longer in patients with ≥1 respiratory depression episode (10.5 ± 10.8 vs 7.7 ± 7.8 days; P < .0001) identified using continuous oximetry and capnography monitoring., Conclusions: A PRODIGY risk prediction model, derived from continuous oximetry and capnography, accurately predicts respiratory depression episodes in patients receiving opioids on the general care floor. Implementation of the PRODIGY score to determine the need for continuous monitoring may be a first step to reduce the incidence and consequences of respiratory compromise in patients receiving opioids on the general care floor.

Background: Night-time wakening with asthma symptoms is an important indicator of disease control and severity, with no gold-standard objective measurement., Objective: The study objective was to use fitness tracker sleep data to develop predictive models of daily disease control-related asthma-specific wakening and FEV 1 in working-aged women with poorly controlled asthma., Methods: A repeated measures panel design included data from 43 women with poorly controlled asthma. Two components of asthma control were the primary outcomes, measured daily as (1) self-reported asthma-specific wakening and (2) self-administered spirometry to measure FEV 1 . Data were analyzed using generalized linear mixed models., Results: Our models demonstrated predictive value (AUC=0.77) for asthma-specific night-time wakening and good predictive value (AUC=0.83) for daily FEV 1. CONCLUSIONS: Fitness tracker sleep efficiency and wake counts demonstrate clinical utility as predictive of asthma-specific night-time wakening and daily FEV 1. Fitness tracker sleep data demonstrated predictive capability for daily asthma outcomes., Competing Interests: Declaration of Competing Interest Dr. Castner was committed to receive salary and funding support from the University at Buffalo for this research. Dr. Castner is owner of Castner Incorporated. The remaining authors declare no conflict of interest., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Objectives: This report presents up-to-date evidence and expert consensus-based revisions to the ASPMN 2011 guidelines that inform interprofessional clinical decision-making for hospitalized adults receiving opioid analgesics., Design: Systematic review of the literature., Methods: A 14-member expert panel was charged with reviewing and grading the strength of scientific evidence published in peer reviewed journals and revising the ASPMN 2011 existing guidelines. Panel members formulated recommendations based on the strength of evidence and reached consensus through discussion, reappraisal of evidence, and voting by majority when necessary. The American Society of Anesthesiologists evidence categories for grading and classifying the strength of the evidence were used. Recommendations were subjected to a critical review by ASPMN members as well as external reviews., Results: The 2011 guidelines were found to still be relevant to clinical practice, but new evidence substantiated refinement and more specific recommendations for electronic monitoring. The revised guidelines present risk factors divided into three categories: patient-specific, treatment-related, and environment of care. Specific recommendations for the use of electronic monitoring are delineated., Conclusions: All hospitalized patients that are administered opioids for acute pain are at risk of opioid induced advancing sedation and respiratory depression, but some patients are at high risk and require extra vigilance to prevent adverse events. All patients must be assessed for level of risk. Adaptations to the plan of care and monitoring strategies should be driven by iterative re-assessments according to level of risk., Nursing Practice Implications: Opioid medications continue to be a major component in the management of acute pain. Clinicians have the primary responsibility for safe and effective pain management. Evidence based monitoring strategies can improve patient safety with opioids., (Copyright © 2020 American Society for Pain Management Nursing. Published by Elsevier Inc. All rights reserved.)

Objectives: Nurses who care for hospitalized patients are responsible for ensuring adequate pain management is provided in a safe manner. The clinical challenge is balancing the effective control of the patient's pain with the side effects of administering opioids. The aim of this literature review is to explore the evidence on how nurses assess for opioid-induced sedation and advancing respiratory depression and how they integrate those data in their critical thinking skills when deciding to administer opioids for pain., Design: A matrix method was used to guide the review and synthesis of the evidence. Tables with column headings (citation, purpose of study, design/measurements, outcomes, and results) were constructed to record data extracted from each study., Data Sources: Primary source research articles were examined using the MESH terms sedation, sedation scale, respiratory depression, opioid, pain, pain assessment, adverse events, naloxone and postoperative., Review/analysis Methods: Original studies such as retrospective case-control studies and descriptive studies were included. The final studies that met the inclusion criteria and were independently reviewed by the authors. The two main areas of interest were the evidence for how nurses assess for advancing sedation and excessive respiratory depression and how nurses integrate their assessment data in their critical thinking skills when deciding to administer opioids for pain., Results: Results indicated a lack of evidence examining the relationships among sedation, respiratory depression, and adverse events and the overall impact of managing these variables on patients' pain., Conclusions: This review revealed a lack of evidence between how nurses assess for opioid induced advancing sedation and excessive respiratory depression, and the impact, including the adverse events associate with acute pain management., (Copyright © 2020 American Society for Pain Management Nursing. Published by Elsevier Inc. All rights reserved.)

Objective: Nighttime wakening with asthma symptoms is a key to assessment and therapy decisions, with no gold standard objective measure. The study aims were to (1) determine the feasibility, (2) explore equivalence, and (3) test concordance of a consumer-based accelerometer with standard actigraphy for measurement of sleep patterns in women with asthma as an adjunct to self-report., Methods: Panel study design of women with poorly controlled asthma from a university-affiliated primary care clinic system was used. We assessed sensitivity and specificity, equivalence and concordance of sleep time, sleep efficiency, and wake counts between the consumer-based accelerometer Fitbit Charge™ and Actigraph wGT3X+. We linked data between devices for comparison both automatically by 24-hour period and manually by sleep segment., Results: Analysis included 424 938 minutes, 738 nights, and 833 unique sleep segments from 47 women. The fitness tracker demonstrated 97% sensitivity and 40% specificity to identify sleep. Between device equivalence for total sleep time (15 and 42-minute threshold) was demonstrated by sleep segment. Concordance improved for wake counts and sleep efficiency when adjusting for a linear trend., Conclusions: There were important differences in total sleep time, efficiency, and wake count measures when comparing individual sleep segments versus 24-hour measures of sleep. Fitbit overestimates sleep efficiency and underestimates wake counts in this population compared to actigraphy. Low levels of systematic bias indicate the potential for raw measurements from the devices to achieve equivalence and concordance with additional processing, algorithm modification, and modeling. Fitness trackers offer an accessible and inexpensive method to quantify sleep patterns in the home environment as an adjunct to subjective reports, and require further informatics development.

Background: Postsurgical patients experiencing opioid-related adverse drug events have 55% longer hospital stays, 47% higher costs associated with their care, 36% increased risk of 30-day readmission, and 3.4 times higher risk of inpatient mortality compared to those with no opioid-related adverse drug events. Most of the adverse events are preventable., General Aim: This study explored three types of electronic monitoring devices (pulse oximetry, capnography, and minute ventilation [MV]) to determine which were more effective at identifying the patient experiencing respiratory compromise and, further, to determine whether algorithms could be developed from the electronic monitoring data to aid in earlier detection of respiratory depression., Materials and Methods: A study was performed in the postanesthesia care unit (PACU) in an inner city. Sixty patients were recruited in the preoperative admissions department on the day of their surgery. Forty-eight of the 60 patients wore three types of electronic monitoring devices while they were recovering from back, neck, hip, or knee surgery. Machine learning models were used for the analysis., Results: Twenty-four of the 48 patients exhibited sustained signs of opioid-induced respiratory depression (OIRD). Although the SpO 2 values did not change, end-tidal CO 2 levels increased, and MV decreased, representing hypoventilation. A machine learning model was able to predict an OIRD event 10 min before the actual event occurred with 80% accuracy., Linking Evidence to Action: Electronic monitoring devices are currently used as a tool to assess respiratory status using thresholds to distinguish when respiratory depression has occurred. This study introduces a potential paradigm shift from a reactive approach to a proactive approach that would identify a patient at high risk for OIRD. Capnography and MV were found to be effective tools in detecting respiratory compromise in the PACU., (© 2019 Sigma Theta Tau International.)

Aims and Objectives: To examine the common meanings of opioid-induced sedation and shared practices in the context of post-operative pain management in expert Post-Anesthesia Care Unit nurses during patient's pain management with opioids., Background: Within the clinical setting, linear pain and sedation scales are not enough to support clinical judgement with acute pain management. Because sedation measurement rests along a fluctuating continuum, it is possible for a patient to be sedated and then shift to increasing alertness, and then to drift back to a sedated state. This potential for acute clinical transition can be challenging to nurses of all levels, even for expert nurses., Design: Interpretive phenomenology., Methods: Twenty expert Post-Anesthetic Care Unit nurses, with more than 7 years of nursing experience, participated in qualitative interviews regarding their lived experiences. Interviews were analysed using a modified seven-stage process for interpretation by Diekelmann, Allen and Tanner. The manuscript was developed utilising the COREQ guidelines for reporting qualitative studies., Results: Four themes identified through the participant's stories were recognising every patient is different, engaging in iterative knowing, walking a fine line, and looking beyond and anticipating. This study identified a constitutive pattern of interpreting sedation by integrating practical understanding and anticipating beyond., Conclusions: This study indicates a deeper complexity in the way opioid-induced sedation is assessed and balanced with pain management by nurses in the Post-Anesthetic Care Unit., Relevance to Practice: Nurses in the study adapted their practices around pain management with opioids, in response to their patient's level of sedation; incorporating practices such as giving small, incremental doses and changing the drug. Nurses valued the importance of having "eyeballs on everybody" and being ready to meet the needs of their patient. They appreciate the time to watch and wait for their patient to respond, to better judge the result of their interventions., (© 2018 John Wiley & Sons Ltd.)

Aim: The purpose of this study was to explore the concept of opioid-induced sedation and how nurses define and measure sedation in the hospital setting., Background: Opioid medications are the primary treatment for acute pain in the postoperative setting. One of the most serious side effects of opioid therapy is excessive sedation and respiratory depression. Nurses have the responsibility of providing effective pain management, while keeping the patient safe from adverse sedation and respiratory depression. Thus, the assessment of sedation becomes an integral part of the nurses' responsibilities., Review Method: A review of the literature on the concept of opioid-induced sedation, and how it is measured by nurses in the hospital setting was performed using the Walker and Avant's (2011) framework., Results: Sedation is an ambiguous concept that challenges nurse's critical thinking skills. The linear sedation scales can assist with the measurement of sedation, but may lack sensitivity and specificity in detecting the small changes on the continuum of levels of consciousness. Additionally, the scales may not capture the entire aspects of the concept of sedation., Conclusions: Sedation, as defined by the linear sedation scales is limiting nurses' appreciation of the small changes in level of cognition as well as consciousness that occurs as an adverse and potentially dangerous side effect of opioid medications used for acute pain management. Through developing a better understanding of sedation as a clinical concept, nurses may enhance their clinical skillset in safer postoperative pain management. Additionally, linear sedation scales could be further developed to better capture all aspects of sedation., (© 2018 Wiley Periodicals, Inc.)

Purpose: To enhance the role of nursing interventions in the management of perioperative opioid-induced respiratory depression (OIRD) in patients with obstructive sleep apnea (OSA)., Design: Narrative review of the literature., Methods: Literature reviewed with emphasis on recommendations by professional and accrediting organizations., Findings: Postsurgical OIRD increases hospital stay (55%), cost of care (47%), 30-day readmission (36%), and inpatient mortality (3.4 fold). OSA increases the risk of OIRD and may result in legal claims averaging $2.5 million per legal claim., Conclusions: Nursing interventions are essential to improving outcome and reduce cost in the management of postsurgical OIRD in OSA patients., (Copyright © 2017 American Society of PeriAnesthesia Nurses. Published by Elsevier Inc. All rights reserved.)

Background: Ketamine is increasingly utilized for a variety of pain management challenges. Audience comments from a ketamine presentation at the 2015 American Society of Pain Management Nursing (ASPMN) Conference reflected wide variation in ketamine practices as well as barriers to use., Aim: The goal was to gain a greater understanding of ASPMN member practice patterns and barriers related to ketamine as adjunctive therapy for pain management., Design: A questionnaire survey design was used., Settings: Respondents represented 35 states and 2 countries., Participants: The participants were 146 respondents from ASPMN membership (1,485 members)., Methods: The survey was distributed by ASPMN on SurveyMonkey. Practice setting and ketamine administration practices were assessed with areas for comments. Results were reviewed using frequencies to describe responses and formatted into tables. Comments were individually reviewed and grouped into common themes., Results: Administration of ketamine as an analgesic was reported by 63% of respondents. Continuous intravenous ketamine infusions were the most common route of administration (65%); however, wide variability in dosing and length of therapy was reported. A wide variety of practices and challenges related to ketamine utilization were noted., Conclusions: Numerous studies have indicated the analgesic benefits of ketamine in pain management. The lack of practice standardization has created challenges to its consistent use and outcome measurement. Additionally, the off-label use of ketamine for pain management creates its own unique challenges. However, given the current national climate with intense focus on pain management, interdisciplinary practitioners have an ideal opportunity to evaluate ketamine's use in a comprehensive approach to pain management., (Copyright © 2018 American Society for Pain Management Nursing. Published by Elsevier Inc. All rights reserved.)

Noninvasively applied positive airway pressure therapy (PAP) is available in 3 basic modes: continuous positive airway pressure (CPAP), bi-level positive airway pressure (BPAP), and adaptive servo-ventilation. These are in widespread use in home and hospital settings to treat a variety of disorders of ventilation or gas exchange, including obstructive sleep apnea, sleep-related hypoventilation, periodic breathing, acute and chronic hypercapnic respiratory failure, and acute respiratory failure. They are increasingly being used perioperatively to prevent or treat upper airway obstruction, hypoventilation, and periodic breathing, and they have been found to improve postoperative outcomes in the case of obstructive sleep apnea. An impediment to their use in this setting is a lack of familiarity with their application by hospital clinical staff. This review describes the modes of PAP therapy available, their indications, how therapy is initiated, how efficacy is assessed, common problems encountered with its use, and how these problems can be addressed., (Copyright © 2018 by Daedalus Enterprises.)

The goal of this review was to identify, describe, and evaluate the existing multiple sleep disorders screening questionnaires for their comprehensiveness, brevity, and psychometric quality. A systematic review was conducted using Medline/PubMed, cumulative index to nursing & allied health literature, health and psychosocial instruments and the "grey literature". Search terms were "sleep disorders, screening, questionnaires, and psychometrics". The scope of the search was limited to English language articles for adult age groups from 1989 through 2015. Of the n = 2812 articles identified, most were assessment or treatment guideline reviews, topical reviews, and/or empirical articles. Seven of the articles described multiple sleep disorders screening instruments. Of the identified instruments, two questionnaires (the Holland sleep Disorders questionnaire and sleep-50) were evaluated as comprehensive and one questionnaire (the global sleep assessment questionnaire [GSAQ]) was judged to be both comprehensive and efficient. The GSAQ was found to cover four of the six core intrinsic disorders, sleep insufficiency, and daytime sequela with 11 questions. Accordingly, the GSAQ is the most suitable for application as a general sleep disorders screener. Additional work is required to validate this instrument in the context of primary care. Finally, the future development of multiple sleep disorders screening questionnaires should not only cover all six intrinsic sleep disorders but also acquire some basic demographic information (age, sex, body mass index, presence/absence of bed partner, work status and shift) and some limited data regarding sleep sufficiency and the daytime consequences of sleep disturbance., (Copyright © 2016 Elsevier Ltd. All rights reserved.)

: Acute pain, which is usually sudden in onset and time limited, serves a biological protective function, warning the body of impending danger. However, while acute pain often resolves over time with normal healing, unrelieved acute pain can disrupt activities of daily living and transition to chronic pain. This article describes the effects of unrelieved acute pain on patients and clinical outcomes. The authors call on nurses to assess and manage acute pain in accordance with evidence-based guidelines, expert consensus reports, and position statements from professional nursing organizations in order to minimize the likelihood of its becoming chronic.

: Opioid analgesics are commonly administered to hospitalized patients to treat acute pain, but these drugs put patients at risk for serious adverse events, such as unintended advancing sedation, respiratory depression, and death. Nurses play an important role in keeping patients safe by making clinical decisions about the frequency and intensity with which patients receiving IV and epidural opioids should be monitored. To make sound clinical judgments, nurses must be aware of the factors that place patients at elevated risk for adverse opioid-related effects and know how to screen and assess patients for these risks. The authors review the literature on unintended advancing sedation and respiratory depression associated with opioid administration and present evidence-based recommendations for clinical decision making and patient monitoring, using both nursing assessments and electronic technologies.

This special supplement examines and summarizes the current state of the science on acute pain management and its practice.

: Multimodal analgesia, which combines analgesic drugs from different classes and employs analgesic techniques that target different mechanisms of pain, is recommended in the treatment of acute postoperative and trauma-related pain because its synergistic effect maximizes pain relief at lower analgesic doses, thereby reducing the risk of adverse drug effects. Using a case-based approach, this article reviews various multimodal analgesic therapies used in the treatment of acute pain; discusses their benefits; and summarizes findings from related research, recommendations from evidence-based practice guidelines, and expert consensus reports.

Study Objectives: To revise and enhance the current Behavioral Risk Factor Surveillance System (BRFSS) sleep questions for detection of sleep/wake disorders that contribute to health burden., Methods: A descriptive qualitative design was used to guide the investigation. The three methods were (1) a review of the current evidence on sleep related screening questions (including the results from the parent study validating the current BRFSS questions), (2) interviews with sleep experts about the questions they use in their clinical practice to screen for sleep problems, and (3) interviews with lay people to discuss contextual meanings, feelings, and beliefs about sufficient and restful sleep and not feeling rested., Results: Recommendations for revisions of the current BRFSS questions., Conclusions: The current BRFSS questions should be refined to better screen for sleep disorders., (© 2016 American Academy of Sleep Medicine)

Objectives: The study's purpose was to understand the common meanings and shared practices related to good and bad sleep from narratives of a sample of healthy participants., Design: Interpretive phenomenology was the approach to analyze narratives of the participants' everyday experiences with sleep. Participants were interviewed and asked to describe typical good and bad nights' sleep, what contributes to their sleep experience, and the importance of sleep in their lives. Team interpretations of narratives identified common themes by consensus., Setting: Medium sized city in New York State (upper west region)., Participants: A sample of 30 healthy participants were from a parent study (n=300) on testing the sleep questions from the Behavioral Risk Factor Surveillance System from the Centers for Disease Control and Prevention., Measurements/analysis: Interpretations of good and bad sleep., Results: Participants described similar experiences of good and bad sleep often directly related to their ability to schedule time to sleep, fall asleep, and maintain sleep. Worrying about life stresses and interruptions prevented participants from falling asleep and staying asleep. Yet, based on current life priorities (socializers, family work focused, and optimum health seekers), they had differing values related to seeking sleep opportunities and strategizing to overcome challenges., Conclusions: The participants' priorities reflected the context of their main concerns and stresses in life that influenced the importance given to promoting sleep opportunities. Public health messages tailored to life priorities could be developed to promote healthy sleep practices., (Copyright © 2016 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.)

Aim: Sleep disturbance is relatively overlooked in concussion treatment although sleep disorders may prolong or exacerbate symptoms after a concussion. We looked at the incidence of both sleep disturbance and postconcussion symptoms in a sample of recently concussed individuals., Methods & Results: We evaluated scores on the insomnia severity index (ISI) and postconcussion symptom scale (PCSS) in 96 participants with persistent symptoms. Sleep disturbance significantly contributed to the severity of postconcussive symptoms and length of recovery; this effect was less pronounced in athletes., Conclusion: These results suggest a relationship between sleep problems and the time course of recovery from concussive injury. Clinicians who regularly treat concussion would benefit from a more thorough consideration of sleep function in the assessment of postconcussive symptoms., Competing Interests: Financial & competing interests disclosure The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

Study Objectives: leep problems may constitute a risk for health problems, including cardiovascular disease, depression, diabetes, poor work performance, and motor vehicle accidents. The primary purpose of this study was to assess the validity of the current Behavioral Risk Factor Surveillance System (BRFSS) sleep questions by establishing the sensitivity and specificity for detection of sleep/ wake disturbance., Methods: Repeated cross-sectional assessment of 300 community dwelling adults over the age of 18 who did not wear CPAP or oxygen during sleep. Reliability and validity testing of the BRFSS sleep questions was performed comparing to BFRSS responses to data from home sleep study, actigraphy for 14 days, Insomnia Severity Index, Epworth Sleepiness Scale, and PROMIS-57., Results: Only two of the five BRFSS sleep questions were found valid and reliable in determining total sleep time and excessive daytime sleepiness., Conclusions: Refinement of the BRFSS questions is recommended., (© 2016 American Academy of Sleep Medicine.)

Background: Guidelines with recommendations for monitoring type and timing of hospitalized patients for opioid-induced respiratory depression have been published, yet adverse events continue to occur., Objective: This study reports on the monitoring practices of 8 hospitals that volunteered to pilot test a Centers for Medicare & Medicaid Services e-quality measure that was under development. Recommendations for nurse executives are provided to support patient safety., Methods: Data on monitoring practices were collected retrospectively from the electronic medical records at 8 hospitals on all patients receiving intravenous (IV) opioids for more than 2.5 continuous hours via patient-controlled analgesia (PCA). Analysis included the percentage of patients who were monitored according to specific standards developed by a panel of technical experts with comparisons of naloxone use to monitoring practices., Results: Recommended patient assessments occurred in only 8.3% of the patients. No patients who were assessed at least every 2.5 hours received naloxone., Conclusions: Care for patients receiving IV PCA is lacking in adherence to latest safety standards. Nurse executives must implement structures and processes to promote vigilance with evidence-based monitoring practices.

Paper sleep diaries are the gold standard for assessment of sleep continuity variables in clinical practice as well as research. Unfortunately, paper diaries can be filled out weekly instead of daily, lost, illegible or destroyed; and are considered out of date according to the newer technology savvy generations. In this study, we assessed the reliability and validity of using a wrist-worn electronic sleep diary. Design. A prospective design was used to compare capturing 14 days of sleep continuity data via paper to a wrist-worn electronic device that also captured actigraphy data. Results. Thirty-five healthy community dwelling adults with mean (sd) age of 36 (15), 80% Caucasians, and 74% females were enrolled. All sleep continuity variables via electronic and paper diary capture methods were significantly correlated with moderate, positive relationships. Assessment of validity revealed that electronic data capture had a significant relationship with objective measure of sleep continuity variables as measured by actigraphy. Paper diary variables were not significantly associated with objective measures. Conclusions. The use of a wrist-worn device to capture daily sleep diary data is as accurate as and for some variables more accurate than using paper diaries.

Background: Adverse events related to opioid-induced unintended advancing sedation and respiratory depression in hospitalized patients are occurring with increased frequency, and these adverse events can have a negative impact on quality and cost outcomes., Aim: The goal of this paper is to inform nurses on best practices for preventing opioid-induced advancing sedation and respiratory depression, and to inform nurse leaders on implementation strategies to guide change in policies and practice., Methods: This paper presents an evidenced-based systematic approach for organizations to use in implementing strategies to reduce adverse events secondary to opioid-induced advancing sedation and respiratory depression in the hospitalized adult patient., Results: An action-oriented framework was developed based on the authors' experiences, strategies recommended by the Institute for Healthcare Improvement (IHI), the National Association of Healthcare Quality (NAHQ), and expert consensus-based best monitoring practices., Linking Evidence to Action: Nurse executives and nurse managers assume accountability for ensuring that patient care is aligned with the best evidence, practices, and regulatory mandates. The framework presented in this paper can help prevent opioid-induced advancing sedation and respiratory depression, and assist nurse leaders in implementation strategies to guide policies and practice., (© 2014 Sigma Theta Tau International.)

Adverse events secondary to opioid-induced advancing sedation and respiratory depression continue to occur during hospitalizations despite efforts to increase awareness and clinical practice guidelines to address prevention strategies. In 2009, ASPMN surveyed membership on current practices surrounding this topic. ASPMN clinical practice guidelines were then published in 2011. In winter of 2013, ASPMN membership was again surveyed to assess progress in preventing adverse events. This is a report of the follow-up membership survey. In general, monitoring practices are slowly improving over time, but there are many facilities that have not instituted best practices for avoiding adverse events., (Copyright © 2014 American Society for Pain Management Nursing. Published by Elsevier Inc. All rights reserved.)

Approximately forty million surgeries take place annually in the United States, many of them requiring overnight or lengthier post operative stays in the over five thousand hospitals that comprise our acute healthcare system. Leading up to this Century, it was common for most hospitalized patients and their families to believe that being surrounded by well-trained nurses and physicians assured their safety. That bubble burst with the Institute of Medicine's 1999 report: To Err Is Human, followed closely by its 2001 report: Crossing the Quality Chasm. This review article discusses unexpected, potentially lethal respiratory complications known for being difficult to detect early, especially in postoperative patients recovering on hospital general care floors (GCF). We have designed our physiologic explanations and simplified cognitive framework to give our front line clinical nurses a thorough, easy-to-recall understanding of just how these events evolve, and how to detect them early when most amenable to treatment. Our review will also discuss currently available practices in general care floor monitoring that can both improve patient safety and significantly reduce monitor associated alarm fatigue.

The American Society for Pain Management Nursing convened a taskforce to develop guidelines on monitoring for opioid-induced sedation and respiratory depression. Part of the guideline development was the determination of nursing practice patterns related to monitoring and preventing respiratory depression during the administration of analgesics for pain. One hundred and forty-seven responses were received from 90 unique institutions across the United States. Monitoring adults with intermittent pulse oximetry while using intravenous patient-controlled analgesia (IV PCA) was 58%. Adults were monitored with continuous pulse oximetry by 25% of respondents. When using continuous epidural analgesia, 56% of patients were monitored intermittently, and 40% were monitored continuously. The use of end tidal CO2 (ETCO2) monitoring was much less, with 2.2% patients on epidural therapy, and 1.5% of institutions were using ETCO2 with IV PCA. The survey also included the location of the alarm, respiratory parameters for alarms, changes in procedures reported by institutions, and definitions of high-risk patients., (Copyright © 2013 American Society for Pain Management Nursing. Published by Elsevier Inc. All rights reserved.)

Introduction: Chronic pain is difficult to treat and often precedes or exacerbates sleep disturbances such as insomnia. Insomnia, in turn, can amplify the pain experience. Both conditions are associated with inflammatory processes, which may be involved in the bi-directional relationship between pain and sleep. Cognitive behavioral therapy (CBT) for pain and CBT for insomnia are evidence based interventions for, respectively, chronic pain and insomnia. The study objectives were to determine the feasibility of combining CBT for pain and for insomnia and to assess the effects of the combined intervention and the stand alone interventions on pain, sleep, and mood outcomes compared to a control condition., Methods: Twenty-one adults with co-occurring chronic pain and chronic insomnia were randomized to either CBT for pain, CBT for insomnia, combined CBT for pain and insomnia, or a wait-list control condition., Results: The combined CBT intervention was feasible to deliver and produced significant improvements in sleep, disability from pain, depression and fatigue compared to the control condition. Overall, the combined intervention appeared to have a strong advantage over CBT for pain on most outcomes, modest advantage over both CBT for insomnia in reducing insomnia severity in chronic pain patients., Discussion: CBT for pain and CBT for insomnia may be combined with good results for patients with co-occurring chronic pain and insomnia., (Published by Elsevier Ltd.)

This research assessed: 1) whether patients thought to have sleep disordered breathing would have more severe symptoms if they were taking opioids; 2) whether severity of sleep disordered breathing was associated with class or dose of opioid; and 3) whether pain intensity was associated with sleep disordered breathing. A descriptive cross-sectional study of patients referred for assessment of sleep disorders was conducted. Data were collected on a total of 419 subjects (no pain [n = 171], chronic pain without opioid treatment [n = 187], and chronic pain with opioid treatment [n = 61]). The findings suggest that regardless of opioid drug or dose, the management of chronic pain with opioids is not likely to exacerbate obstructive sleep apnea at stable doses. However, central sleep apnea was associated with opioid use. Patients with chronic pain taking opioids had a mean of 5 ± 13 central apneic events per hour compared with 1.6 ± 7 events per hour in patients without pain and not taking opioids. Oxygen saturation mean nadir 83.5% (opioid group) versus 82.9% (no pain, pain without opioid) was not significantly different. The clinical relevance of the effect is unknown, so the potential for marginal respiratory disturbance (an increase of 2.8 central events per hour for every 100 mg morphine-equivalent opioid dose) must be weighed against the therapeutic value of pain management with opioids., (Copyright © 2012 American Society for Pain Management Nursing. Published by Elsevier Inc. All rights reserved.)

The purpose of this study was to assess the long-term (six months) effects of cognitive behavioral therapy for insomnia (CBT-I) in patients with chronic pain. The results of the pre-post treatment effects have been reported previously. The therapy was delivered by an advanced practice nurse in a research setting using a parallel-group, randomized, single blind trial of CBT-I with a contact/measurement control condition. Outcomes included sleep diary, the Insomnia Severity Index, the Multidimensional Pain Inventory, the Beck Depression Inventory, the Profile of Mood States-short form, and the Pain Disability Index. Measurement time points were end-of-treatment, three-month and six-month posttherapy. Subjects receiving CBT-I (n = 19), as compared to control subjects (n = 9), did not exhibit any significant group by visit effects on measures of sleep, pain, mood, or function after end of treatment. However, subjects in the treatment group exhibited statistically (P = 0.03) and clinically significant improvement in total sleep time (23 minutes) over the six months following treatment. In this paper, cognitive behavioral therapy directed to improve insomnia was successfully delivered to patients with moderate-to-severe chronic pain and the positive effects of CBT-I continued to improve despite the presence of continued moderate-to-severe pain.

As the complexity of analgesic therapies increases, priorities of care must be established to balance aggressive pain management with measures to prevent or minimize adverse events and to ensure high quality and safe care. Opioid analgesia remains the primary pharmacologic intervention for managing pain in hospitalized patients. Unintended advancing sedation and respiratory depression are two of the most serious opioid-related adverse events. Multiple factors, including opioid dosage, route of administration, duration of therapy, patient-specific factors, and desired goals of therapy, can influence the occurrence of these adverse events. Furthermore, there is an urgent need to educate all members of the health care team about the dangers and potential attributes of administration of sedating medications concomitant with opioid analgesia and the importance of initiating rational multimodal analgesic plans to help avoid adverse events. Nurses play an important role in: 1) identifying patients at risk for unintended advancing sedation and respiratory depression from opioid therapy; 2) implementing plans of care to assess and monitor patients; and 3) intervening to prevent the worsening of adverse events. Despite the frequency of opioid-induced sedation, there are no universally accepted guidelines to direct effective and safe assessment and monitoring practices for patients receiving opioid analgesia. Moreover, there is a paucity of information and no consensus about the benefits of technology-supported monitoring, such as pulse oximetry (measuring oxygen saturation) and capnography (measuring end-tidal carbon dioxide), in hospitalized patients receiving opioids for pain therapy. To date, there have not been any randomized clinical trials to establish the value of technologic monitoring in preventing adverse respiratory events. Additionally, the use of technology-supported monitoring is costly, with far-reaching implications for hospital and nursing practices. As a result, there are considerable variations in screening for risk and monitoring practices. All of these factors prompted the American Society for Pain Management Nursing to approve the formation of an expert consensus panel to examine the scientific basis and state of practice for assessment and monitoring practices for adult hospitalized patients receiving opioid analgesics for pain control and to propose recommendations for patient care, education, and systems-level changes that promote quality care and patient safety., (Copyright © 2011 American Society for Pain Management Nursing. Published by Elsevier Inc. All rights reserved.)

Opioid use has increased significantly over the past ten years and so has the incidence of reportable adverse events, such as respiratory depression and/or arrest. It is important for nurses to understand and know how to assess patients for risk factors for respiratory depression secondary to opioid therapy. This paper presents the pharmacodynamics of opioids, the risk factors for excessive respiratory depression, recommendations for identifying patients at high risk, and interventions to prevent adverse effects. After reading this paper, nurses will have the knowledge to provide safe administration of opioid medications for the management of acute pain., (Copyright © 2011 American Society for Pain Management Nursing. Published by Elsevier Inc. All rights reserved.)

To date very little research has been conducted on night-to-night variability in the incidence of insomnia. It is unclear from prior research whether subjects with primary insomnia (PI) exhibit good sleep (or better than average sleep) on some interval basis. In the present study, pilot data are provided on: (1) the frequency with which 'good sleep' occurs in subjects with PI; and (2) whether these events occur in a non-random manner. Ten subjects with PI participated in this 'naturalistic' study. All subjects completed daily sleep diaries for a minimum of 20 days. None of the subjects received treatment for their insomnia during the monitoring period. The night-to-night data were evaluated by typing each night's sleep as 'Good' or 'Bad', and then by determining the number of bad nights that occurred prior to a good night for each subject. Good and bad nights were typed in two ways: (1) using a > or =85% cut-off and (2) using a better than the individual's mean sleep efficiency (idiographic cut-off). Subjects exhibited good sleep on between 29% (>85% criteria) and 55% (idiographic criteria) of the nights evaluated. The temporal patterning analysis (based on an idiographic cut-off) revealed that better than average sleep most frequently occurred (>89% of instances) following one to three nights of poor sleep. These data suggest that insomnia severity may be mediated/moderated by sleep homeostasis and that the homeostat, or input to the homeostat, may be abnormal in patients with PI.

Study Objectives: To assess the efficacy of cognitive-behavioral therapy for insomnia (CBT-I) in patients with non-malignant chronic pain., Methods: Twenty-eight subjects with chronic neck and back pain were stratified according to gender, age, and ethnicity, then assigned to one of the two treatment groups: CBT-I or a contact control condition., Intervention: Eight weeks of CBT-I including sleep restriction, stimulus control, sleep hygiene, and one session of cognitive therapy devoted to catastrophic thoughts about the consequences of insomnia., Measurements and Results: Outcomes included sleep diary assessments of sleep continuity, pre-post measures of insomnia severity (ISI), pain (Multidimensional Pain Inventory), and mood (BDI and POMS). Subjects receiving CBT-I (n=19), as compared to control subjects (n=9), exhibited significant decreases in sleep latency, wake after sleep onset, number of awakenings, and significant increase in sleep efficiency. The diary findings were paralleled by significant changes in the ISI (p=0.05). Significant improvement (p=0.03) was found on the Interference Scale of the Multidimensional Pain Inventory. The groups did not significantly differ on mood measures or measures of pain severity., Conclusions: CBT-I was successfully applied to patients experiencing chronic pain. Significant improvements were found in sleep as well as in the extent to which pain interfered with daily functioning. The observed effect sizes for the sleep outcomes appear comparable to or better than meta-analytic norms for subjects with Primary Insomnia., (Copyright 2010 Elsevier B.V. All rights reserved.)

Sleep/wake disorders are common, underdiagnosed, and associated with serious consequences. Patients tend not to mention sleep problems and clinicians often do not ask about them. Using a few simple screening questions and tools can uncover sleep/wake disorders that will respond to treatment. Consider asking about sleep during annual physicals and regular visits for chronic conditions. This is especially relevant when following patients with conditions linked to sleep/wake disorders. Educating patients about normal sleep and good sleep hygiene may improve sleep and prompt mention of unhealthy sleep/wake patterns.The use of CPAP leads to beneficial outcomes in OSA. Psychological and behavioral measures offer the best choice for patients with chronic insomnia. Bright light can help retrain the circadian rhythm in patients with circadian rhythm sleep disorders. Dopamine agonists are approved for treatment of RLS. Through a greater awareness of sleep/wake disorders and taking a proactive approach to patient questioning, diagnosis, education, and management, clinicians can better detect and treat sleep/wake disorders and improve patient outcomes and quality of life.

There are at least 9 studies that provide evidence that insomnia is a significant risk factor for recurrent and new onset major depressive disorder (MDD), two of which suggest that this association also exists specifically for the elderly. In this study, archival data from a community sample of healthy elderly participants were used to assess the extent to which insomnia predicts future illness in this age cohort. Out of the 147 participants with no prior history of mental illness, 66 participants were classified as having no insomnia, 47 had indeterminate insomnia, and 34 had persistent insomnia. Twelve participants developed MDD during the 1-year follow-up period. Two had no insomnia, 4 had indeterminate insomnia, and 6 had persistent insomnia. Persistent insomnia with onset of depression occurred only in female participants and was significantly associated with middle insomnia. These data suggest that elderly participants with persistent insomnia are at greater risk for the development of new onset depression.

Placebo effects are commonly observed in insomnia clinical trials. With the advent of longer-term trials, such effects appear to be remarkably robust and durable. In this paper we review the classic factors that are believed to contribute to placebo effects and how these factors operate in insomnia randomized clinical trials. Beyond this we suggest that the episodic nature of insomnia may interact with patient preferences for intermittent dosing in such a way as to sustain placebo effects in the long term. An appreciation of the latter phenomenon may provide increased power to detect therapeutic outcomes and may be used to potentiate clinical gains.