Patient Pain Experiences and the Emergency Department Encounter: A Qualitative Analysis.

BACKGROUND: Legislation, practice recommendations, and the likely link between therapeutic opioid exposure and iatrogenic opioid use disorder (OUD) have led to reduced opioid prescribing. The effects of this change on unrelieved pain and the overdose crisis are not well-characterized. AIM: We explored emergency department (ED) patients' beliefs and experiences involving pain and emergency care to inform the development of future psychosocial interventions that balance the need for acute pain management with risks from opioid exposure. METHODS: Qualitative, semi-structured interviews were conducted after discharge from an urban, academic Level 1 trauma center ED from September 2020 to May 2021 with 18 adult patients presenting with acute pain. After transcription of audio recording, common themes were identified using framework analysis. Thematic hierarchy was validated with Pearson correlation coefficients for cluster analysis of word similarity. RESULTS: Of the 18 participants, most were Black (n = 11, 61%) and male (n = 12, 66.7%). Analysis identified one overarching theme: locus of control with an emergency pain encounter. Four themes were identified surrounding internal and external influences on pain management: (1) accessing healthcare for acute pain; (2) managing the pain after discharge; (3) seeking opioids: self-medicating and misuse; and (4) opioid crisis makes people in pain suffer. CONCLUSIONS: Patients discharged from the ED reported unrelieved pain, factors that influence their pain management, and an ability to seek opioids from non-medical sources. There is a significant disconnect between patients and providers in terms of priorities in pain management and the importance of individualized care.

Estimating Glycemia From HbA1c and CGM: Analysis of Accuracy and Sources of Discrepancy.

OBJECTIVE: To examine the accuracy of different periods of continuous glucose monitoring (CGM), hemoglobin A1c (HbA1c), and their combination for estimating mean glycemia over 90 days (AG90). RESEARCH DESIGN AND METHODS: We retrospectively studied 985 CGM periods of 90 days with <10% missing data from 315 adults (86% of whom had type 1 diabetes) with paired HbA1c measurements. The impact of mean red blood cell age as a proxy for nonglycemic effects on HbA1c was estimated using published theoretical models and in comparison with empirical data. Given the lack of a gold standard measurement for AG90, we applied correction methods to generate a reference (eAG90) that we used to assess accuracy for HbA1c and CGM. RESULTS: Using 14 days of CGM at the end of the 90-day period resulted in a mean absolute error (95th percentile) of 14 (34) mg/dL when compared with eAG90. Nonglycemic effects on HbA1c led to a mean absolute error for average glucose calculated from HbA1c of 12 (29) mg/dL. Combining 14 days of CGM with HbA1c reduced the error to 10 (26) mg/dL. Mismatches between CGM and HbA1c >40 mg/dL occurred more than 5% of the time. CONCLUSIONS: The accuracy of estimates of eAG90 from limited periods of CGM can be improved by averaging with an HbA1c-based estimate or extending the monitoring period beyond ∼26 days. Large mismatches between eAG90 estimated from CGM and HbA1c are not unusual and may persist due to stable nonglycemic factors.

Retirement Center Worker Sleep Health Assessment During the COVID-19 Pandemic.

BACKGROUND: Sleep health disturbances can increase risks for workplace injury, error, and poor worker health. Essential workers have reported sleep disturbances since the COVID-19 pandemic onset, which may jeopardize their health and safety. The aims of this project were to assess sleep health among Continuing Care Retirement Community (CCRC) workers, examine potential differences between worker types, and describe the self-perceived impact of COVID-19 on workers' workload and sleep. METHODS: Through an academic-practice partnership, this needs assessment used a cross-sectional design that collected self-report data during fall 2020 from CCRC workers. Guided by the Workplace Health Model, survey questions included work characteristics, sleep health, and COVID-19 impact on sleep and workload. FINDINGS: Ninety-four respondents completed the survey across multiple departments. Respondents (n = 34, 36.2%) reported sleeping below recommended hours on workdays. The majority scored above the population mean on Patient-Reported Outcomes Measurement (PROMIS) measures of sleep disturbance (n = 52, 55.3%), sleep-related impairment (n = 49, 52.1%), and fatigue (n = 49, 52.1%). Differences in workday total sleep time and fatigue were noted among shift workers versus nonshift workers, with shift workers reporting less sleep and more fatigue. Shorter sleep duration was noted among respondents working shifts 10 or more hours compared with those working 8 hours. Pandemic-related workload increase was reported by 22.3% (n = 21) of respondents, with 17% (n = 16) noting more than one type of workload change. Since COVID-19 onset, 36.2% (n = 34) reported no sleep changes and 35.1% (n = 33) reported sleeping less. A medium, positive relationship was found between increased changes in work due to COVID-19 and increased difficulties sleeping (r = .41, n = 73, p = .000). CONCLUSION/APPLICATION TO PRACTICE: Proper sleep health is essential to workplace safety and worker health. By assessing sleep health during a crisis, occupational health nurses can identify opportunities to support worker health and safety, through sleep education, monitoring for sleepiness and fatigue, ensuring countermeasures are available (e.g., caffeine), and assessing for opportunities to change organizational policies.