Shift-Level Team Familiarity Is Associated with Improved Outcomes in Mechanically Ventilated Adults.

RATIONALE: Organizing intensive care unit (ICU) interprofessional teams is a high priority due to workforce needs, but the role of interprofessional familiarity remains unexplored. OBJECTIVE: Determine if mechanically ventilated patients cared for by teams with greater familiarity have improved outcomes, such as lower mortality, shorter duration of mechanical ventilation (MV), and greater spontaneous breathing trial (SBT) implementation. METHODS: We used electronic health records data of 5 ICUs in an academic medical center to map interprofessional teams and their ICU networks, measuring team familiarity as network coreness and mean team value. We used patient-level regression models to link team familiarity with patient outcomes, accounting for patient/unit factors. We also performed a split-sample analysis by using 2018 team familiarity data to predict 2019 outcomes. MEASUREMENTS: Team familiarity was measured as the average number of patients shared by each clinician with all other clinicians in the ICU (i.e., coreness) and the average number of patients shared by any two members of the team (i.e., mean team value). MAIN RESULTS: Among 4,485 encounters, unadjusted mortality was 12.9%, average duration of MV was 2.32 days and SBT implementation was 89%; average team coreness was 467.2 (SD = 96.15) and average mean team value was 87.02 (SD=42.42). A standard-deviation increase in team coreness was significantly associated with a 4.5% greater probability of SBT implementation, 23% shorter MV duration, and 3.8% lower probability of dying; mean team value was significantly associated with lower mortality. Split-sample results were attenuated but congruent in direction and interpretation. CONCLUSIONS: Interprofessional familiarity was associated with improved outcomes; assignment models that prioritize familiarity might be a novel solution.

Racial and Ethnic Disparities in Home Health Referral Among Adult Medicare Patients.

BACKGROUND: Home health care (HHC) services following hospital discharge provide essential continuity of care to mitigate risks of posthospitalization adverse outcomes and readmissions, yet patients from racial and ethnic minority groups are less likely to receive HHC visits. OBJECTIVE: To examine how the association of nurse assessments of patients' readiness for discharge with referral to HHC services at the time of hospital discharge differs by race and ethnic minority group. RESEARCH DESIGN: Secondary data analysis from a multisite study of the implementation of discharge readiness assessments in 31 US hospitals (READI Randomized Clinical Trial: 09/15/2014-03/31/2017), using linear and logistic models adjusted for patient demographic/clinical characteristics and hospital fixed effects. SUBJECTS: All Medicare patients in the study's intervention arm (n=14,684). MEASURES: Patient's race/ethnicity and discharge disposition code for referral to HHC (vs. home) from electronic health records. Patient's Readiness for Hospital Discharge Scale (RHDS) score (0-10 scale) assessed by the discharging nurse on the day of discharge. RESULTS: Adjusted RHDS scores were similar for non-Hispanic White (8.21; 95% CI: 8.18-8.24), non-Hispanic Black (8.20; 95% CI: 8.12-8.28), Hispanic (7.92; 95% CI: 7.81-8.02), and other race/ethnicity patients (8.09; 95% CI: 8.01-8.17). Non-Hispanic Black patients with low RHDS scores (6 or less) were less likely than non-Hispanic White patients to be discharged with an HHC referral (Black: 26.8%, 95% CI: 23.3-30.3; White: 32.6%, 95% CI: 31.1-34.1). CONCLUSIONS: Despite similar RHDS scores, Black patients were less likely to be discharged with HHC. A better understanding of root causes is needed to address systemic structural injustice in health care settings.

Validation of a short version of the Lee fatigue scale in adults living in Norway: a cross-sectional population survey.

BACKGROUND: Due to the nature of fatigue, a brief reliable measure of fatigue severity is needed. Thus, the aim of our study was to evaluate a short version of the Lee Fatigue Scale (LFS) in the Norwegian general population. METHODS: This cross-sectional survey consists of a representative sample from the Norwegian population drawn by The National Population Register in Norway. The study is part of a larger study (NORPOP) aimed at collecting normative data from several questionnaires focused on health in adults living in Norway. Registered citizens between 18 and 94 years of age were randomly selected stratified by age, sex and geographic region. Of the 4971 respondents eligible for the study, 1792 (36%) responded to the survey. In addition to age and sex, we collected responses on a 5-item version of the LFS measuring current fatige severity. The psychometric properties focusing on internal structure and precision of the LFS items were analyzed by a Rasch rating scale model. RESULTS: Complete LFS scores for analyses were available for 1767 adults. Women had higher LFS-scores than men, and adults < 55 years old had higher scores than older respondents. Our analysis of the LFS showed that the average category on each item advanced monotonically. Two of the five items demonstrated misfit, while the three other items demonstrated goodness-of-fit to the model and uni-dimensionality. Items #1 and #4 (tired and fatigue respectively) showed differential item functioning (DIF) by sex, but no items showed DIFs in relation to age. The separation index of the LFS 3-item scale showed that the sample could be separated into three different groups according to the respondents' fatigue levels. The LFS-3 raw scores correlated strongly with the Rasch measure from the three items. The core dimensions in these individual items were very similarly expressed in the Norwegian language version and this may be a threat to the cultural-related or language validity of a short version of the LFS using these particular items. CONCLUSIONS: The study provides validation of a short LFS 3-item version for estimating fatigue in the general population.

Patterns and Correlates of Nurse Departures From the Health Care Workforce: Results From a Statewide Survey.

BACKGROUND: Health care executives and policymakers have raised concerns about the adequacy of the US nursing workforce to meet service demands. Workforce concerns have risen given the SARS-CoV-2 pandemic and chronically poor working conditions. There are few recent studies that directly survey nurses on their work plans to inform possible remedies. METHODS: In March 2022, 9150 nurses with a Michigan license completed a survey on their plans to leave their current nursing position, reduce their hours, or pursue travel nursing. Another 1224 nurses who left their nursing position within the past 2 years also reported their reasons for departure. Logistic regression models with backward selection procedures estimated the effects of age, workplace concerns, and workplace factors on the intent to leave, hour reduction, pursuit of travel nursing (all within the next year), or departure from practice within the past 2 years. RESULTS: Among practicing nurses surveyed, 39% intended to leave their position in the next year, 28% planned to reduce their clinical hours, and 18% planned to pursue travel nursing. Top-ranked workplace concerns among nurses were adequate staffing, patient safety, and staff safety. The majority of practicing nurses (84%) met the threshold for emotional exhaustion. Consistent factors associated with adverse job outcomes include inadequate staffing and resource adequacy, exhaustion, unfavorable practice environments, and workplace violence events. Frequent use of mandatory overtime was associated with a higher likelihood of departure from the practice in the past 2 years (Odds Ratio 1.72, 95% CI 1.40-2.11). CONCLUSIONS: The factors associated with adverse job outcomes among nurses-intent to leave, reduced clinical hours, travel nursing, or recent departure-consistently align with issues that predated the pandemic. Few nurses cite COVID as the primary cause for their planned or actual departure. To maintain an adequate nursing workforce in the United States, health systems should enact urgent efforts to reduce overtime use, strengthen work environments, implement anti-violence protocols, and ensure adequate staffing to meet patient care needs.

Sleep symptoms signaling the menopausal transition.

STUDY OBJECTIVES: To describe changes in sleep quality and associated sleep symptoms as women begin menopausal transition compared with premenopausal controls. METHODS: In a repeated-measures design, we analyzed data collected every 2-6 months from a community-based sample of 223 women aged 40-50 (45.6 ± 2.3) years old over a 2-year period. Each 6-month visit included urinary follicle-stimulating hormone (FSH) as a marker of ovarian function and the Pittsburgh Sleep Quality Index (PSQI) and other questionnaires (Center for Epidemiological Studies-Depression Scale; Perceived Stress Scale). Menstrual cycle and vasomotor symptoms (Seattle Women's Health Symptom Checklist) were tracked every 2 months by phone. For women entering menopausal transition (n = 68) we used data from the two consecutive visits prior to their FSH rise and the next two visits. Data from the last four consecutive visits were used for controls remaining premenopausal (n = 155). RESULTS: The transition group did not differ from controls on age, vasomotor symptoms (hot flashes/night sweats), stress, or depression but did have a higher body mass index. Measures were stable over time for controls. However, the transition group experienced an increase in PSQI scores (initial PSQI = 5.7 ± 3.2 and final PSQI = 6.3 ± 3.8; P = .030) and frequency of trouble sleeping because of feeling too hot (P = .016), which lagged the FSH rise by 6 months with no notable change in report of hot flashes/night sweats. CONCLUSIONS: Trouble sleeping because of feeling too hot, distinct from awareness of vasomotor symptoms, was the only uniform contribution to higher PSQI scores after the initial FSH increase and may signal the onset of the menopausal transition. CITATION: Zak R, Zitser J, Jones HJ, Gilliss CL, Lee KA. Sleep symptoms signaling the menopausal transition. J Clin Sleep Med. 2023;19(8):1513-1521.

Factors correlated with pain after total knee arthroplasty: A systematic review and meta-analysis.

MAIN OBJECTIVE: Systematically review and synthesize preoperative and intraoperative factors associated with pain after total knee arthroplasty (TKA) in patients with osteoarthritis. METHODS: Based on a peer-reviewed protocol, we searched Medline, Embase, CINAHL, Cochrane Library, and PEDro for prospective observational studies (January 2000 to February 2023) investigating factors associated with pain after TKA. The primary outcome was pain twelve months after TKA. Pain at three and six months were secondary outcomes. Multivariate random-effects meta-analyses were used to estimate mean correlation (95% CIs) between factors and pain. Sensitivity analysis was performed for each risk of bias domain and certainty of evidence was assessed. RESULTS: Of 13,640 studies, 29 reports of 10,360 patients and 61 factors were analysed. The mean correlation between preoperative factors and more severe pain at twelve months was estimated to be 0.36 (95% CI, 0.24, 0.47; P < .000; moderate-certainty evidence) for more catastrophizing, 0.15 (95% CI; 0.08, 0.23; P < .001; moderate-certainty evidence) for more symptomatic joints, 0.13 (95% CI, 0.06, 0.19; P < .001; very low-certainty evidence) for more preoperative pain. Mean correlation between more severe radiographic osteoarthritis and less pain was -0.15 (95% CI; -0.23, -0.08; P < .001; low-certainty evidence). In sensitivity analysis, the estimated correlation coefficient for pain catastrophizing factor increased to 0.38 (95% CI 0.04, 0.64). At six and three months, more severe preoperative pain was associated with more pain. Better preoperative mental health was associated with less pain at six months. CONCLUSION AND RELEVANCE: More pain catastrophizing, more symptomatic joints and more pain preoperatively were correlated with more pain, while more severe osteoarthritis was correlated with less pain one year after TKA. More preoperative pain was correlated with more pain, and better mental health with less pain at six and three months. These findings should be further tested in predictive models to gain knowledge which may improve TKA outcomes.

Sleep Loss the night before surgery and incidence of postoperative delirium in adults 65-95 years of age.

STUDY OBJECTIVES: To describe the association between preoperative sleep disruption and postoperative delirium. METHODS: Prospective cohort study with six time points (3 nights pre-hospitalization and 3 nights post-surgery). The sample included 180 English-speaking patients ≥65 years old scheduled for major non-cardiac surgery and anticipated minimum hospital stay of 3 days. Six days of wrist actigraphy recorded continuous movement to estimate wake and sleep minutes during the night from 22:00 to 05:59. Postoperative delirium was measured by a structured interview using the Confusion Assessment Method. Sleep variables for patients with (n = 32) and without (n = 148) postoperative delirium were compared using multivariate logistic regression. RESULTS: Participants had a mean age of 72 ± 5 years (range 65-95 years). The incidence of postoperative delirium during any of the three postoperative days was 17.8%. Postoperative delirium was significantly associated with surgery duration (OR = 1.49, 95% CI 1.24-1.83) and sleep loss >15% on the night before surgery (OR = 2.64, 95% CI 1.10-6.62). Preoperative symptoms of pain, anxiety and depression were unrelated to preoperative sleep loss. CONCLUSIONS: In this study of adults ≥65 years of age, short sleep duration was more severe preoperatively in the patients who experienced postoperative delirium as evidenced by sleep loss >15% of their normal night's sleep. However, we were unable to identify potential reasons for this sleep loss. Further investigation should include additional factors that may be associated with preoperative sleep loss to inform potential intervention strategies to mitigate preoperative sleep loss and reduce risk of postoperative delirium.

Prior pregnancy loss and sleep experience during subsequent pregnancy.

OBJECTIVE: To describe sleep characteristics in the third trimester of pregnancy for women who had a prior pregnancy loss compared to women with no history of loss. DESIGN: Descriptive comparison of baseline data prior to randomization for a clinical trial. SETTING: Participants' homes. PARTICIPANTS: Eligible women recruited from childbirth education classes during third trimester were over 18 years old, in partnered relationships, spoke English, did not work nightshift or have a diagnosed sleep disorder, and had no current complications or prior pregnancy loss (n = 140). Women with prior miscarriage or stillbirth were offered enrollment in an ancillary study (n = 20). MEASUREMENTS: Sleep was assessed with the Pittsburgh Sleep Quality Index (PSQI) and wrist actigraphy. Other measures included relationship satisfaction, perceived stress, and depressive symptoms. For this analysis, only third trimester data prior to randomization were compared. RESULTS: Both groups had similar actigraphy-recorded sleep duration (7.1 ± 1.1 hours) and sleep efficiency (83.7 ± 7.9%). However, the pregnancy loss group had significantly (p = .050) worse PSQI scores (7.8 ± 2.6) than controls (6.7 ± 3.1), resulting primarily from the sleep disturbance component (p = .003), specifically bad dreams (p = .030) and legs twitching/jerking (p = .071). Controlling for demographic and health factors in multivariate analyses, prior pregnancy loss was significant for sleep disturbance (p = .047), bad dreams (p = .018), and partner-reported leg twitching/jerking (p = .048). CONCLUSIONS: Long after the acute grief of a pregnancy loss, perceived sleep quality can be problematic during the next pregnancy. Whether poor sleep quality is present prior to the pregnancy loss or reflects long-term maternal sleep characteristics require further research.

Time to dementia diagnosis by race: A retrospective cohort study.

BACKGROUND: Non-Hispanic Black individuals may be less likely to receive a diagnosis of dementia compared to non-Hispanic White individuals. These findings raise important questions regarding which factors may explain this observed association and any differences in the time to which disparities emerge following dementia onset. METHODS: We conducted a retrospective cohort study using survey data from the 1995 to 2016 Health and Retirement Study linked with Medicare fee-for-service claims. Using the Hurd algorithm (a regression-based approach), we identified dementia onset among older adult respondents (age ≥65 years) from the Telephone Interview for Cognitive Status and proxy respondents. We determined date from dementia onset to diagnosis using Medicare data up to 3 years following onset using a list of established diagnosis codes. Cox Proportional Hazards modeling was used to examine the association between an individual's reported race and likelihood of diagnosis after accounting for sociodemographic characteristics, income, education, functional status, and healthcare use. RESULTS: We identified 3435 older adults who experienced a new onset of dementia. Among them, 30.1% received a diagnosis within 36 months of onset. In unadjusted analyses, the difference in cumulative proportion diagnosed by race continued to increase across time following onset, p-value <0.001. 23.8% of non-Hispanic Black versus 31.4% of non-Hispanic White participants were diagnosed within 36 months of dementia onset, Hazard Ratio = 0.73 (95% CI: 0.61, 0.88). The association persisted after adjustment for functional status and healthcare use; however, these factors had less of an impact on the strength of the association than income and level of education. CONCLUSION: Lower diagnosis rates of dementia among non-Hispanic Black individuals persists after adjustment for sociodemographic characteristics, functional status, and healthcare use. Further understanding of barriers to diagnosis that may be related to social determinants of health is needed to improve dementia-related outcomes among non-Hispanic Black Americans.

Perceived risk for diabetes among U.S. adults with undiagnosed prediabetes.

The purpose was to examine the degree to which perceived risk for diabetes differed by race and ethnicity among U.S. adults with undiagnosed prediabetes. The study was a cross-sectional analysis of data from 4005 participants (aged ≥20 years) in the National Health and Nutrition Examination Survey (NHANES) program between 2011 and 2018. Individuals with prediabetes were identified using glycohemoglobin (HbA1c) data. Logistic regression was used to estimate the association between race and ethnicity and perceived risk of diabetes while adjusting for age and sex, educational level, family history of diabetes, BMI, and healthcare factors (health insurance coverage and routine place to go for healthcare). Nearly three-quarters (71.8%) of adults with undiagnosed prediabetes reported no perceived risk for diabetes. Rates of perceived risk for diabetes did not change significantly in any racial and ethnic groups from 2011 to 12 to 2017-18. In models adjusted for individual characteristics, identifying as Non-Hispanic Black was associated with a 34% higher likelihood of reporting no perceived risk compared to identifying as Non-Hispanic White (OR 1.34, 95% CI:1.03-1.74). Identifying as Hispanic was associated with a 29% higher likelihood of reporting no perceived risk compared to identifying as Non-Hispanic White (OR 1.29, 95% CI: 1.01, 1.66). Healthcare factors may have less influence on diabetes risk perception. Future public health efforts should improve diabetes risk communication efforts across racial and ethnic groups, emphasizing Non-Hispanic Black and Hispanic populations.

Sleep Self-Report and Actigraphy Measures in Healthy Midlife Women: Validity of the Pittsburgh Sleep Quality Index.

Background: Validity of the Pittsburgh Sleep Quality Index (PSQI) has not been established for midlife women before menopause, and evidence suggests that two-factor or three-factor models may be more informative than the PSQI global score derived from its seven components. We hypothesized that the PSQI and its factor structure would be valid in premenopausal women. Materials and Methods: We performed a validation study of the PSQI against wrist actigraphy in a community-based convenience sample of 71 healthy premenopausal women (aged 40-50 years). For convergent validity, PSQI and its component scores were compared with homologous actigraphy measures. For discriminant validity, characteristics known to affect sleep quality were compared, including body mass index, exercise, menopausal status, menopausal symptoms, and depressive symptoms measured with the Center for Epidemiological Studies-Depression (CES-D) Scale. Results: The PSQI global score and Components 1 (quality) and 5 (disturbance) were correlated (p < 0.05) with actigraphy-measured wake after sleep onset. The PSQI global score and Components 1 (quality) and 7 (daytime dysfunction) were correlated with CES-D scores. PSQI Components 2 (onset latency) and 4 (efficiency) were not congruent with homologous actigraphy measures, while component 3 (duration) was congruent with actigraphy duration. The single-factor PSQI global score had a higher McDonald's omega (0.705) and Cronbach's alpha (0.702) than the two-factor or three-factor models. Conclusions: The PSQI global score is a valid measure of sleep quality in healthy midlife women, performing better than two-factor or three-factor models. However, overlapping CES-D and PSQI scores warrant further clinical assessment and research to better differentiate poor sleep quality from depression.

Quality Improvement Project to Increase Postpartum Clinic Visits for Publicly Insured Women.

OBJECTIVE: To increase the percentage of women who attend postpartum visits and decrease the number of days to the first postpartum visit by implementing a scheduling change. DESIGN: Quality improvement project. SETTING/LOCAL PROBLEM: A small nurse practitioner maternity care clinic in an academic health center at which only 74% of the women who attended two or more prenatal visits attended postpartum clinic visits. PARTICIPANTS: A diverse sample of 25 publicly insured women who gave birth during the 5-month implementation period. INTERVENTION/MEASUREMENTS: We added a 2- to 3-week postpartum appointment to our standard 6-week postpartum appointment. The measurable outcomes were the percentage of women who attended postpartum clinic visits and the number of days to the first postpartum visit. RESULTS: During the first 4 months of the 5-month project implementation phase, 14 of the 20 (70%) women who gave birth attended postpartum visits. The attendance at postpartum visits in the last month of the project was 100% (all five women). Days to first postpartum visit decreased from a mean of 40.7 in the baseline year to a mean of 21.8 by the last month of project implementation. CONCLUSION: Despite the small scope of this project, our outcomes support continuing the practice of scheduling an earlier postpartum clinic appointment. The timing for when to preschedule postpartum appointments and contextual factors, such as the availability and use of telehealth technology and COVID-19 pandemic challenges, should be considered when implementing similar projects in other settings.

COVID Toes: Concurrent Lower Limb Arterial and Venous Thromboembolism in a Patient with COVID-19 Pneumonitis Presenting with Foot Ischaemia.

We present a 74-year-old gentleman, who presented with foot ischaemia requiring bilateral amputation in the absence of radiological signs of occlusive peripheral arterial disease. He was found to have COVID-19 pneumonitis and concurrent arterial and venous thromboemboli despite no initial respiratory symptoms or signs, nor pre-existing risk factors for cardiovascular disease. Patients who present with foot ischaemia with or without respiratory symptoms or signs warrant a high index of suspicion for COVID-19 infection, particularly in those with no predisposing risk factors.

The glass is half full: gender diversity in sleep medicine award recognition.

CITATION: Zak RS, Lee KA. The glass is half full: gender diversity in sleep medicine award recognition. J Clin Sleep Med. 2021;17(8):1517-1518.

Sleep disruption and duration are associated with variants in genes involved in energy homeostasis in adults with HIV/AIDS.

OBJECTIVE: To determine whether selected genes and plasma markers involved in energy homeostasis are associated with sleep disruption or duration in adults with HIV/AIDS. METHODS: A sample of 289 adults with HIV/AIDS wore a wrist actigraph for 72 h to estimate total sleep time (TST) and wake after sleep onset (WASO). Twenty-three single nucleotide polymorphisms (SNP) spanning 5 energy homeostasis genes (adiponectin [ADIPOQ], ghrelin [GHRL], leptin [LEP], peroxisome proliferator-activated receptor-alpha [PPARA], and -gamma [PPARG]) were genotyped using a custom array. Plasma markers of energy homeostasis (adiponectin, ghrelin, leptin) were measured by commercial multiplex assay. RESULTS: After adjusting for demographic and clinical characteristics (race/ethnicity, gender, CD4 cell count, waist circumference, medications), both WASO and TST were associated with SNPs in ADIPOQ (rs182052), LEP (rs10244329, rs3828942), PPARA (rs135551, rs4253655), and PPARG (rs709151). Additional SNPs in ADIPOQ were associated with WASO (rs1501299, rs3821799, rs6773957) and TST (rs2241766). TST was also associated with SNPs in GHRL (rs26802), LEP (rs11760956), PPARA (rs135547, rs8138102, rs4253776), and PPARG (rs12490265, rs796313). Many covariate-adjusted associations involved a significant interaction with markers of HIV (viral load, years since diagnosis). Among plasma markers, higher adiponectin was associated with less WASO, higher ghrelin and glucose levels with shorter TST, and higher leptin with longer TST. CONCLUSIONS: Replication of SNPs in all five genes and three plasma markers of energy homeostasis were associated with objective sleep measures. HIV disease influenced many of the associations. Findings strengthen evidence for associations between energy homeostasis genetics and poor sleep, and provide direction for pharmacological intervention research.