Psychometric Evaluation of the Revised Iowa Pain Thermometer (IPT-R) in a Sample of Diverse Cognitively Intact and Impaired Older Adults: A Pilot Study.

Self-report pain assessment tools are commonly used in clinical settings to determine patients' pain intensity. The Iowa Pain Thermometer (IPT) is a tool that was developed for research, but also can be used in clinical settings. However, its utility in clinical settings is challenging because it uses a 13-point scale (0-12 scale) that does not align with common electronic pain scoring metrics. Therefore, this study evaluated the psychometric properties of an 11-point (0-10 scale) adaptation of the Iowa Pain Thermometer (IPT-R) to evaluate the psychometric properties of the IPT-R and to determine patient preference for a self-report pain assessment tool. A descriptive, correlational design was employed. The IPT-R was compared with the original IPT and a numeric rating scale (NRS). This study was conducted in the southeastern United States with 75 adults ranging in age from 65-95 years with varying levels of cognition. Participants were primarily representative of black and white backgrounds. Participants were asked to rate current pain, worst pain during the past week, and reassessment of current pain after 10-minute intervals using three scales (IPT-R, IPT, and NRS) presented in random order. Participants were asked to identify the tool preferred (the easiest to use and that best represented their pain intensity). Spearman-rank correlations were performed to determine convergent validity and test-retest reliability. Based on the results of this preliminary study, the IPT-R has good validity and reliability. The participants in this sample preferred the IPT-R over the original IPT (0-12 scale) and the traditional NRS (0-10 scale). Clinicians may consider using this tool with diverse older patients to assess pain intensity.

Nursing Perspectives on the Use of Continuous Glucose Monitoring in the Intensive Care Unit.

BACKGROUND: The COVID-19 pandemic necessitated rapid implementation of continuous glucose monitoring (CGM) in the intensive care unit (ICU). Although rarely reported, perceptions from nursing staff who used the systems are critical for successful implementation and future expanded use of CGM in the inpatient setting. METHODS: A 22-item survey focused on CGM use was distributed to ICU nurses at two large academic medical centers in the United States in 2022. Both institutions initiated inpatient CGM in the spring of 2020 using the same CGM+point of care (POC) hybrid protocol. The survey employed a 1- to 5-point Likert scale regarding CGM sensor insertion, accuracy, acceptability, usability, training, and perceptions on workload. RESULTS: Of the 71 surveys completed, 68 (96%) nurses reported they cared for an ICU patient on CGM and 53% reported they had independently performed CGM sensor insertion. The ICU nurses overwhelmingly reported that CGM was accurate, reduced their workload, provided safer patient care, and was preferred over POC glucose testing alone. Interestingly, nearly half of nurses (49%) reported that they considered trend arrows in dosing decisions although trends were not included in the CGM+POC hybrid protocol. Nurses received training through multiple modalities, with the majority (80%) of nurses reporting that CGM training was sufficient and prepared them for its use. CONCLUSION: These results confirm nursing acceptance and preference for CGM use within a hybrid glucose monitoring protocol in the ICU setting. These data lay a blueprint for successful implementation and training strategies for future widespread use.

Remote Continuous Glucose Monitoring With a Computerized Insulin Infusion Protocol for Critically Ill Patients in a COVID-19 Medical ICU: Proof of Concept.

OBJECTIVE: The use of remote real-time continuous glucose monitoring (CGM) in the hospital has rapidly emerged to preserve personal protective equipment and reduce potential exposures during coronavirus disease 2019 (COVID-19). RESEARCH DESIGN AND METHODS: We linked a hybrid CGM and point-of-care (POC) glucose testing protocol to a computerized decision support system for continuous insulin infusion and integrated a validation system for sensor glucose values into the electronic health record. We report our proof-of-concept experience in a COVID-19 intensive care unit. RESULTS: All nine patients required mechanical ventilation and corticosteroids. During the protocol, 75.7% of sensor values were within 20% of the reference POC glucose with an associated average reduction in POC of 63%. Mean time in range (70-180 mg/dL) was 71.4 ± 13.9%. Sensor accuracy was impacted by mechanical interferences in four patients. CONCLUSIONS: A hybrid protocol integrating real-time CGM and POC is helpful for managing critically ill patients with COVID-19 requiring insulin infusion.