Nursing and Institutional Responsibilities for In-Hospital Stroke.

In-hospital stroke events occur less often than stroke outside of a health care facility; yet, the need for timely evaluation and treatment is the same regardless of geographic location. During hospitalization, nurses are generally the first to recognize possible symptoms of stroke and activate emergency protocols. Such actions in response to changes in patient condition are critical to optimal patient outcomes. A recent scientific statement from the American Heart Association notes that patients with in-hospital stroke are likely to experience delayed recognition of symptoms, less likely to receive intravenous thrombolysis therapy, and have worse outcomes compared with community-occurring stroke. The aim of this article is to expand upon that scientific statement to assist nurses and acute care hospitals in the United States and elsewhere with similar health care systems to create evidence-based, nurse-driven protocols for in-hospital stroke recognition and management.

Lipidomics, Acute Ischemic Stroke, Symptoms, and Outcomes: Observational Study Protocol.

BACKGROUND: Acute ischemic stroke is one of the leading causes of death and disability globally. Recent advances in omics methodology enable lipidomic profiling, which may provide knowledge of the underlying pathology of acute ischemic stroke and its associated outcomes. OBJECTIVE: This study aims to examine the longer-term relationships between symptoms and outcomes following acute ischemic stroke and the underlying lipidomic signatures over 6 months during recovery between acute ischemic stroke patients who received reperfusion therapies and those who did not. METHODS: This prospective cohort study will enroll 104 participants post-acute ischemic stroke in two groups based on their receipt of reperfusion therapy (Group 1) or not (Group 2; n = 52/group). Peripheral plasma samples will be collected from both groups for lipidomic analysis over 6 months. Arterial blood samples will be collected during the procedure for those receiving reperfusion. Self-reported symptoms and outcome data will be collected from both groups. DISCUSSION: We will compare and examine the associations among plasma lipidomic biomarkers and symptoms and cognitive, functional, and health-related quality of life outcomes over 6 months between acute ischemic stroke patients who did and did not receive reperfusion intervention.

Interrelationships among workload, illness severity, and function on return to work following acute respiratory distress syndrome.

BACKGROUND: Inability to return to work (RTW) is common after acute respiratory distress syndrome (ARDS). OBJECTIVES: The aim of this study is to examine interrelationships among pre-ARDS workload, illness severity, and post-ARDS cognitive, psychological, interpersonal, and physical function with RTW at 6 and 12 months after ARDS. METHODS: We conducted a secondary analysis using the US multicentre ARDS Network Long-Term Outcomes Study. The US Occupational Information Network was used to determine pre-ARDS workload. The Mini-Mental State Examination and SF-36 were used to measure four domains of post-ARDS function. Analyses used structural equation modeling and mediation analyses. RESULTS: Among 329 previously employed ARDS survivors, 6- and 12-month RTW rates were 52% and 56%, respectively. Illness severity (standardised coefficients range: -0.51 to -0.54, p < 0.001) had a negative effect on RTW at 6 months, whereas function at 6 months (psychological [0.42, p < 0.001], interpersonal [0.40, p < 0.001], and physical [0.43, p < 0.001]) had a positive effect. Working at 6 months (0.79 to 0.72, P < 0.001) had a positive effect on RTW at 12 months, whereas illness severity (-0.32 to -0.33, p = 0.001) and post-ARDS function (psychological [6 months: 0.44, p < 0.001; 12 months: 0.33, p = 0.002], interpersonal [0.44, p < 0.001; 0.22, p = 0.03], and physical abilities [0.47, p < 0.001; 0.33, p = 0.007]) only had an indirect effect on RTW at 12 months mediated through work at 6 months. CONCLUSIONS: RTW at 12 months was associated with patients' illness severity; post-ARDS cognitive, psychological, interpersonal, and physical function; and working at 6 months. Among these factors, working at 6 months and function may be modifiable mediators of 12-month post-ARDS RTW. Improving ARDS survivors' RTW may include optimisation of workload after RTW, along with interventions across the healthcare spectrum to improve patients' physical, psychological, and interpersonal function.

Association of imbalance between job workload and functional ability with return to work in ARDS survivors.

BACKGROUND: Inability to return to work (RTW) is common after acute respiratory distress syndrome (ARDS). Mismatch in an individual's job workload and his or her functional ability, termed work ability imbalance, is negatively associated with RTW, but has not been evaluated in ARDS survivors. OBJECT: We examine associations between work ability imbalance at 6 months and RTW at 6 months and 12 months, as well as the ability to sustain employment in ARDS survivors. METHODS: Previously employed participants from the ARDS Network Long-Term Outcomes Study (N=341) were evaluated. Pre-ARDS workload was determined based on the US Occupational Information Network classification. Post-ARDS functional ability was assessed using self-reported 36-Item Short Form Health Survey (SF-36) physical functioning, social functioning and mental health subscales, and Mini-Mental State Examination. ARDS survivors were categorised into four work ability imbalance categories: none, psychosocial, physical, and both psychosocial and physical. RESULTS: Almost 90% of ARDS survivors had a physical and/or psychosocial work ability imbalance at both 6-month and 12-month follow-up. Compared with survivors with no imbalance at 6 months, those with both physical and psychosocial imbalance had lower odds of RTW (6 months: OR=0.33, 95% CI=0.13 to 0.82; 12 months: OR=0.22, 95% CI=0.07 to 0.65). Thirty-eight (19%) of those who ever RTW were subsequently jobless at 12 months. CONCLUSION: Interventions aimed at rebalancing ARDS survivors' work ability by addressing physical and psychosocial aspects of their functional ability and workload should be explored as part of efforts to improve RTW, maintain employment and reduce the financial impact of joblessness.

A Systematic Review of Virtual Reality Therapeutics for Acute Pain Management.

OBJECTIVES: The purpose of this systematic review is to examine the delivery and clinical efficacy of virtual reality (VR) therapeutics for acute pain management in adults and identify practical considerations of VR deployment, as well as current gaps in the literature. DESIGN: A systematic review. DATA SOURCES: A search of PubMed, CINAHL, PsychINFO, Embase, Compendex, and Inspec was completed using Medical Subject Headings (MeSH) and keyword search terms related to acute pain and VR. REVIEW/ANALYSIS METHODS: A systematic review of all pertinent articles published between January 1, 2000, and August 1, 2020, was conducted according to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. RESULTS: Twenty-three articles met final inclusion criteria and were included in this review. Studies utilized VR in a variety of settings for wound care, procedure-induced pain, physical or occupational therapy, dental treatment or generalized acute pain. A likely mechanism by which VR promoted analgesia in these studies is distraction. Of the reviewed studies, 19 (83%) reported decreases in pain intensity while using VR compared with no VR use or with a non-VR group. CONCLUSIONS: This systematic review found VR to be an effective tool for acute pain management. Findings from this review also underscore the importance of addressing the patient's sense of presence and levels of immersion, interaction, and interest when deploying VR. Future VR studies should consider incorporation of anxiety, presence, and VR side effect measures in addition to acute pain metrics.

Perceptions of and Experiences with Consumer Sleep Technologies That Use Artificial Intelligence.

This study aims to assess the perspectives and usability of different consumer sleep technologies (CSTs) that leverage artificial intelligence (AI). We answer the following research questions: (1) what are user perceptions and ideations of CSTs (phase 1), (2) what are the users' actual experiences with CSTs (phase 2), (3) and what are the design recommendations from participants (phases 1 and 2)? In this two-phase qualitative study, we conducted focus groups and usability testing to describe user ideations of desires and experiences with different AI sleep technologies and identify ways to improve the technologies. Results showed that focus group participants prioritized comfort, actionable feedback, and ease of use. Participants desired customized suggestions about their habitual sleeping environments and were interested in CSTs+AI that could integrate with tools and CSTs they already use. Usability study participants felt CSTs+AI provided an accurate picture of the quantity and quality of sleep. Participants identified room for improvement in usability, accuracy, and design of the technologies. We conclude that CSTs can be a valuable, affordable, and convenient tool for people who have issues or concerns with sleep and want more information. They provide objective data that can be discussed with clinicians.

Frailty measurements in hospitalised orthopaedic populations age 65 and older: A scoping review.

AIMS AND OBJECTIVES: To identify and compare frailty instruments used with hospitalised orthopaedic patients aged over 65. BACKGROUND: Frailty predicts clinical events in orthopaedic patients aged over 65. However, the strengths and limitations of different approaches to measuring frailty in this population are rarely discussed. As such, a comprehensive review to address the gap is needed. DESIGN: Scoping review using Arksey and O'Malley framework. METHODS: PubMed, CINAHL, PsycINFO, Scopus and EMBASE databases were searched to identify studies published from 2006 to 2020 regarding frailty instruments in older orthopaedic patients. The Preferred Reporting Items for Systematic Reviews and Meta-analyses were followed. RESULTS: The initial search resulted in 1,471 articles. After review against inclusion and exclusion criteria, a final set of 31 articles containing 15 unique frailty instruments were evaluated. Most of the articles were from Western countries. Fried's phenotype and Frailty Index were commonly used. The frailty index was mostly modified to measure frailty. In hip fracture, physical function items were frequently modified in the measurement of frailty. Trained physicians and nurses administered most frailty instruments. Frailty screening was commonly conducted at hospital admission and used to prognosticate both postoperative complications and hospital outcomes. Most instruments could be completed within 10 min. Reported psychometrics had acceptable reliability and validity. CONCLUSION: Many reliable frailty measures have been used in the inpatient orthopaedic settings; however, evidence is still lacking for a gold standard frailty instrument. More research is needed to identify the best-performing measure. Frailty evaluation in patients with physical limitations is challenging with existing instruments. Clinical context, resources required and instrument quality are essential factors in selecting a frailty instrument. RELEVANCE TO CLINICAL PRACTICE: Musculoskeletal symptoms in older patients may bias frailty assessment. Proactive frailty screening with valid and practical instruments is vital to strengthen preoperative risk stratification and improve post-surgical outcomes.

Factors Associated with the Development of Persistent Pain after mTBI.

BACKGROUND: Persistent pain after mild traumatic brain injury (mTBI) is widely experienced, yet little is known about who is at risk for experiencing persistent pain after their injury. AIMS: The purpose of this study was to 1) determine if there are factors associated with later experiencing persistent pain after mTBI and 2) examine if there are symptom patterns associated with the experience of persistent pain. DESIGN: Secondary analysis was conducted using de-identified data from an NIH-funded longitudinal study.SettingsParticipants were enrolled in the emergency department. PARTICIPANTS: Participants were aged 21 to 92 and all had experienced mTBI. METHODS: We examined baseline characteristics, symptoms, and injury related variables associated with the endorsement of persistent pain among those with mTBI (N = 183) from baseline to 6 months post-injury. In order to identify a persistent pain phenotype, exploratory factor analysis was used to determine which symptoms co-occur with persistent pain. RESULTS: Persistent pain was found in 78% of those with mTBI. Those with lower overall health status at day 7 and at 1-month following injury had greater odds of developing persistent pain. Those with higher levels of general health status and physical function health status at day 7 and 1 month, and those with higher levels of overall health related status at 1 month had significantly lesser odds of persistent pain at 6 months. Factor analysis revealed that persistent pain and co-occurring symptoms (anxiety, depression, dizziness, nausea and vomiting, sleep disturbance, poor memory, poor concentration, longer to think and light sensitivity) loaded on one factor, indicating that these symptoms are associated. CONCLUSIONS: Those at increased risk for persistent pain should be screened beginning early in the recovery trajectory to reduce their risk of developing persistent pain. Identification of a phenotype offers potential for recognition of symptoms that cluster with persistent pain, improving the ability to treat patients more holistically, and develop interventions to support recovery from injury.

Pain and Symptoms after Mild Traumatic Brain Injury: Should Technology Play a Role in Self-Management?

BACKGROUND: Those with mild traumatic brain injury (mTBI) often experience pain and symptoms long after their initial injury. A gap in current knowledge is how persons would prefer to monitor and manage these symptoms following mTBI. AIMS: The purpose of this study was to explore self-management strategies to inform design of an informatics tool to support self-management of pain and symptoms following mTBI. DESIGN: A qualitative descriptive approach using semi-structured interviews of participants was used. SETTINGS: Participants were interviewed by phone. PARTICIPANTS: Seven female participants with recent mTBI completed interviews. METHODS: A descriptive approach was utilized to determine what the tool should address, and which features should be included in a future tool. Themes were identified using a Qualitative Description analysis approach, which is based in naturalistic inquiry. RESULTS: Participants described difficulty coping with symptoms, limited access to or knowledge of treatments and trial and error with compensatory strategies. These challenges often led to difficulty keeping up with work, school and other commitments. All participants indicated that they were interested in a tool that addresses pain, memory and concentration. The main features that participants wanted were pain and symptom tracking as well as suggestions based on tracking information. CONCLUSIONS: Patients are interested in using technology to help with self-management of their pain and symptoms following mTBI. Tools that help patients with self-management should integrate into health systems and provide ways to effectively interact with providers during the most vulnerable phases of recovery.

Factors associated with employment outcome after critical illness: Systematic review, meta-analysis, and meta-regression.

AIMS: To synthesize data on prevalence and risk factors for return to work (RTW) in ICU survivors. DESIGN: Systematic review and meta-analysis. DATA SOURCES: PUBMED, CINAHL, EMBASE and PsycINFO databases were searched from 2000-Feb 2020. REVIEW METHODS: Peer-reviewed articles that included adult ICU survivors and employment outcomes. Two investigators independently reviewed articles following the PRISMA protocol. Pooled prevalence for RTW was calculated. Meta-regression analyses were performed to assess the association between disability policies, temporal factors and RTW following ICU. RESULTS: Twenty-eight studies (N = 8,168) met the inclusion criteria. All studies were scored as 'low risk of bias'. Using meta-analysis, the proportion (95% CI) of RTW following ICU was 29% (0.20,0.42), 59% (0.50,0.70), 56% (0.50,0.62), 63% (0.54,0.72), 58% (0.37,0.91), 58% (0.42,0.81), and 44% (0.25,0.76) at 3, 4-6, 7-12, 13-24, 25-36, 37-48, and 49-60 months, respectively. Time and disability policy support are factors associated with the proportion of ICU survivors who RTW. Through meta-regression, there is a 20% increase (95% CI: 0.06, 0.33) in the proportion of individuals who RTW per year. However, the average rate of increase slows by 4% (-0.07, -0.1) per year. In countries with high support policies, the proportion of RTW is 32% higher compared with countries with low support policies (0.08, 0.24). However, as subsequent years pass, the additional proportion of individuals RTW in high support countries declines (ß = -0.06, CI: -0.1, -0.02). CONCLUSIONS: Unemployment is common in ICU survivors. Countries with policies that give higher support for disabled workers have a higher RTW proportion to 3 years following ICU admission. However, from 3-5 years, there is a shift to countries with lower support policies having better employment outcomes. IMPACT: Health care policies have an impact on RTW rate in survivors of ICU. Healthcare providers, including nurses, can function as public advocates to facilitate policy change.

Internet-of-Things Smart Home Technology to Support Aging-in-Place: Older Adults' Perceptions and Attitudes.

The purpose of the current study was to examine older adults' perceptions of Internet-of-Things (IoT) smart home devices as part of a real-world feasibility study and describe what factors affect adoption of these technologies. A total of 37 community-dwelling older adults enrolled in the 2-month study. Participants chose among different IoT devices to be installed in their home for the study period. Semi-structured interviews to explore perceptions of the technology were conducted. Older adults have unique preferences for specific types of IoT devices and their functionalities. Similarly, there were different degrees of acceptability across devices. In general, older adults had a positive attitude toward IoT smart home technologies to support their health management. Emergency preparedness was a key benefit of IoT devices identified by many older adults. In addition, convenience of a voice interface provided by a smart speaker was appreciated among participants. Older adults seemed to weigh the benefits and actual need for having the devices against potential infringements on privacy. Nurses and system designers should consider ethical and practical challenges related to the interconnected services of the IoT domain for older adults. [Journal of Gerontological Nursing, 47(4), 15-21.].

Falls and Cognitive Training 2 (FaCT2) study protocol: a randomised controlled trial exploring cognitive training to reduce risk of falls in at-risk older adults.

BACKGROUND: The primary cause of traumatic injury in older adults is fall. Recent reports suggest that cognitive function contributes significantly to fall risk. Therefore, by targeting cognitive function for intervention, we could potentially reduce the incidence of fall and injury. PRIMARY OBJECTIVE: To explore the effectiveness of a 16-week cognitive training (CT) intervention to reduce risk and incidence of fall in community-dwelling older adults at risk for fall. OUTCOMES: Primary outcome is number of falls over a 16-week period (ascertained by fall calendar method). Secondary outcomes include: change fall risk as indicated by improvement in 10 m walk and 90 s balance tests. DESIGN/METHODS: The design is a two-group randomised controlled trial. Eligible participants are older adults (aged 65-85) residing in the community who are at risk for fall based on physical performance testing. Following completion of 1-week run-in phase, participants are randomly allocated (1:2) to either a group that is assigned to attention control or to the group that receives CT intervention for a total of 16 weeks. Participants are followed for an additional 4 weeks after intervention. Mann-Whitney U test and Student's t-test will be used to examine between-group differences using intention-to-treat analyses. DISCUSSION: Limited evidence supports the potential of CT to improve cognition and gait, but no published study has evaluated whether such an intervention would reduce incidence of fall. The present trial is designed to provide initial answers to this question. CT may also improve functioning important in other activities (eg, driving), reducing overall risk of injury in elders. TRIAL REGISTRATION NUMBER: NCT03190460.

IMPACT and CRASH prognostic models for traumatic brain injury: external validation in a South-American cohort.

OBJECTIVE: To develop a robust prognostic model, the more diverse the settings in which the system is tested and found to be accurate, the more likely it will be generalisable to untested settings. This study aimed to externally validate the International Mission for Prognosis and Clinical Trials in Traumatic Brain Injury (IMPACT) and Corticosteroid Randomization after Significant Head Injury (CRASH) models for low-income and middle-income countries using a dataset of patients with severe traumatic brain injury (TBI) from the Benchmark Evidence from South American Trials: Treatment of Intracranial Pressure study and a simultaneously conducted observational study. METHOD: A total of 550 patients with severe TBI were enrolled in the study, and 466 of those were included in the analysis. Patient admission characteristics were extracted to predict unfavourable outcome (Glasgow Outcome Scale: GOS<3) and mortality (GOS 1) at 14 days or 6 months. RESULTS: There were 48% of the participants who had unfavourable outcome at 6 months and these included 38% who had died. The area under the receiver operating characteristic curve (AUC) values were 0.683-0.775 and 0.640-0.731 for the IMPACT and CRASH models respectively. The IMPACT CT model had the highest AUC for predicting unfavourable outcomes, and the IMPACT Lab model had the best discrimination for predicting 6-month mortality. The discrimination for both the IMPACT and CRASH models improved with increasing complexity of the models. Calibration revealed that there were disagreement between observed and predicted outcomes in the IMPACT and CRASH models. CONCLUSION: The overall performance of all IMPACT and CRASH models was adequate when used to predict outcomes in the dataset. However, some disagreement in calibration suggests the necessity for updating prognostic models to maintain currency and generalisability.

Impact of aging on the immune response to traumatic brain injury (AIm:TBI) study protocol.

BACKGROUND: Traumatic brain injury (TBI) in older adults leads to considerable morbidity and mortality. Outcomes among older adults with TBI are disparately worse than in younger adults. Differences in immunological response to injury may account for at least some of this disparity. Understanding how ageing differentially affects the immune response to TBI and how older age and these immunological changes affect the natural history of recovery following TBI are the goals of this study. DESIGN/METHODS: A prospective multiple cohort design is being used to assess the effects of ageing and TBI on immune makers and to test predictors of impairment and disability in older adults following mild TBI. Older adults (>55 years) with mild TBI are enrolled with three comparison groups: younger adults (21-54 years) with mild TBI, non-injured older adults (>55 years) and non-injured young adults (21-54 years). For the primary analysis, we will assess the association between immune markers and Glasgow Outcome Scale-Extended at 6 months, using logistic regression. Predictors of interest will be inflammatory biomarkers. Multivariate linear regression will be used to evaluate associations between biomarkers and other outcomes (symptoms, function and quality of life) at 3 and 6 months. Exploratory analyses will investigate the utility of biomarkers to predict outcome using receiver-operating characteristic curves. DISCUSSION: A better understanding of the recovery trajectory and biological rationale for disparate outcomes following TBI in older adults could allow for development of specific interventions aimed at reducing or eliminating symptoms. Such interventions could reduce impairment and healthcare costs.

Impact of Age on Plasma Inflammatory Biomarkers in the 6 Months Following Mild Traumatic Brain Injury.

OBJECTIVE: To compare plasma inflammatory biomarker concentrations to 6 months in young and older adults with and without mild traumatic brain injury (TBI). SETTING: Level 1 trauma center. PARTICIPANTS: Younger (21-54 years) and older (55+) adults diagnosed with mild TBI along with age-/sex-matched noninjured controls (n = 313). DESIGN: Prospective cohort study. MAIN MEASURES: Multiplex assays were used to quantify concentrations of selected plasma inflammatory markers at day 0, months 1 and 6. RESULTS: Persistent aging-related differences were found between control groups in concentrations of 4 cytokines up to 6 months. At day 0, interleukin-6 (IL-6), IL-8, and fractalkine were higher in the older TBI compared with older control as well as the younger TBI groups, while IL-10 was higher in older TBI compared with controls. At month 1, significantly higher concentrations of IL-8, fractalkine, and tumor necrosis factor-α (TNF-α) were seen. At 6 months postinjury, significantly higher concentrations of IL-6 and IL-8 were seen, while a lower concentration of IL-7 was found in older versus younger TBI groups. CONCLUSION: The neuroinflammatory signature that accompanies mild TBI in older adults differs from that of younger adults. The differences seen are notable for their roles in neutrophil attraction (IL-8), neuronal-microglial-immune cell interactions (fractalkine), and chronic inflammation (IL-6).

Sleep Disturbances Following Traumatic Brain Injury in Older Adults: A Comparison Study.

OBJECTIVES: To compare the prevalence of sleep disturbances in older adults with traumatic brain injury (TBI) with that of age- and gender-matched controls and to determine the risk factors for post-TBI sleep disturbances and the effects of post-TBI disturbances on quality of life (QOL). DESIGN: Cross-sectional case-comparison study. PARTICIPANTS: Eighty older adults (aged ≥65 years) with first-time TBI more than 3 months since injury and 80 older adults controls without TBI who completed sleep and health-related QOL questionnaires. RESULTS: Older adults with TBI showed a higher prevalence of obstructive sleep apnea (OSA), insomnia, and daytime sleepiness than older adult controls. Being male, having higher levels of depression and pain, and the presence of insomnia were significantly correlated with the risks of OSA, insomnia, and daytime sleepiness following TBI, respectively. Both OSA and insomnia were significantly correlated with low QOL in older adults with TBI. CONCLUSIONS: Sleep disturbances are highly prevalent in older adults with TBI. Gender differences, depression severity, and pain level are correlated with the occurrence of post-TBI sleep disturbances. Both OSA and insomnia are regarded as major contributors to low QOL in older people with TBI. Interventions targeted at post-TBI sleep disturbances may improve QOL of older adults.

Predicting hospital outcomes with the reported edmonton frail scale-Thai version in orthopaedic older patients.

AIMS AND OBJECTIVES: To test the ability of the Reported Edmonton Frail Scale-Thai version to predict hospital outcomes compared with standard preoperative assessment measures (American Society of Anesthesiologists physical status classification and the Elixhauser Comorbidity Measure) in older Thai orthopaedic patients. BACKGROUND: Frailty is a common geriatric condition. No previous studies have assessed frailty among orthopaedic patients in Thailand. Effective frailty screening could enhance quality of care. DESIGN: Prospective cohort study in a university hospital. METHODS: Two hundred hospitalised patients, aged 60 years or older and scheduled for orthopaedic surgery, participated in the study. Frailty was evaluated using the Reported Edmonton Frail Scale-Thai version. Multiple Firth logistic regression was used to model the effect of frailty on postoperative complications, postoperative delirium and discharge disposition. Length of stay was examined using Poisson regression. Comparing predictability of the instruments, the area under the receiver operating characteristic curve and mean squared errors were evaluated. The STROBE guideline was used. RESULTS: Participants' mean age was 72 years; mostly were female, frail and underwent knee, spine and/or hip surgery. Poor health outcomes including postoperative complications, postoperative delirium, and not being discharged to the home were commonly identified. The length of stay varied from three days to more than ten weeks. Frailty was significantly associated with postoperative complications, postoperative delirium and prolonged length of stay. The Reported Edmonton Frail Scale-Thai version revealed good performance for predicting postoperative complications and postoperative delirium and was improved by combining with standard assessments. CONCLUSION: The Reported Edmonton Frail Scale-Thai version, alone or combined with standard assessment, was useful for predicting adverse outcomes in older adults undergoing orthopaedic surgery. RELEVANCE TO CLINICAL PRACTICE: These findings indicate that nurse professionals should apply culturally sensitive frailty screening to proactively identify patients' risk of frailty, improve care quality and prevent adverse outcomes.

Energy Expenditure and Shivering Severity During Targeted Temperature Management at 36°C After Cardiac Arrest: A Case Series.

Patients undergoing targeted temperature management (TTM) after cardiac arrest are at risk for shivering, which increases energy expenditure (EE) and may attenuate TTM benefits. This article reports patterns of EE for patients with and without shivering who received TTM at 36°C after cardiac arrest. Based on 96 case assessments, there were 14 occasions when more than one 15-minute interval period was required to appropriately modify the Bedside Shivering Assessment Scale (BSAS) score. Investigators noted that although higher EE was related to higher BSAS scores, there may be opportunities for earlier detection of shivering.

The Reported Edmonton Frail Scale-Thai version: Development and Validation of a Culturally-Sensitive Instrument.

Frailty may lead to increased vulnerability, disability, and adverse health outcomes in older adults. Early detection has been described as the best approach to manage frailty; however, frailty instruments are not widely available, particularly in the Thai language. The purpose of this cross-sectional study was to develop a culturally adapted Thai version of the Reported Edmonton Frail Scale and to validate the psychometric properties of the new instrument in hospitalized older Thai adults. Reliability and validity were examined. Participants completed questionnaires that included demographic and health information, and the Reported Edmonton Frail Scale-Thai version. Results revealed that the new instrument was reliable and had good content validity. Inter-rater reliability was strong. Confirmatory factor analysis showed a fair fit for the whole model, but most domains were strongly associated with frailty. On average, the instrument was completed under 7 minutes. The Thai version of the frailty instrument may be a practical tool for frailty evaluation, and could inform inpatient care, both locally and internationally; future research is needed to confirm predictability and feasibility in other clinical settings and populations.

Precision health: Advancing symptom and self-management science.

BACKGROUND: Precision health considers individual lifestyle, genetics, behaviors, and environment context and facilitates interventions aimed at helping individuals achieve well-being and optimal health. PURPOSE: To present the Nursing Science Precision Health (NSPH) Model and describe the integration of precision health concepts within the domains of symptom and self-management science as reflected in the National Institute of Nursing Research P30 Centers of Excellence and P20 Exploratory Centers. METHODS: Center members developed the NSPH Model and the manuscript based on presentations and discussions at the annual NINR Center Directors Meeting and in follow-up telephone meetings. DISCUSSION: The NSPH Model comprises four precision components (measurement; characterization of phenotype including lifestyle and environment; characterization of genotype and other biomarkers; and intervention target discovery, design, and delivery) that are underpinned by an information and data science infrastructure. CONCLUSION: Nurse scientist leadership is necessary to realize the vision of precision health as reflected in the NSPH Model.