Intervention Study with Algoplus®: A Pain Behavioral Scale for Older Patients in the Emergency Department

Validation of the Japanese version of Algoplus® for the assessment of acute postoperative pain in older patients with cancer

AIM

This study aimed to validate a Japanese version of the Algoplus® tool by assessing postoperative pain in older Japanese patients with cancer and examining the scale's psychometric properties.

METHODS

After translating Algoplus® into Japanese, we conducted a cross-sectional study of patients aged 65 years or older who underwent surgery to remove malignant tumors. Two registered nurse-certified investigators used the Numerical Rating Scale, the Japanese version of Algoplus®, and the Japanese version of the Abbey Pain Scale before and after analgesic use on postoperative days 3 and 5 to evaluate response to pharmacologic therapy. Validity was tested by a correlation analysis between the Japanese version of Algoplus®, two pain scales, and nine hypotheses related to demographic variables and surgical invasions. The Kuder-Richardson-20 test and Cohen's Kappa coefficient were used for internal consistency and inter-rater reliability, respectively.

RESULTS

The total score of the Japanese version of Algoplus® showed strong to moderate correlations with the two pain scales. Demographic characteristics were not associated with the total score of the Japanese version, but significant correlations with operative time and postoperative analgesia administration existed. The scale demonstrated good internal consistency (Kuder-Richardson-20 α: .70) and inter-rater reliability (Kappa coefficient .72). The total score of the Japanese version decreased significantly after analgesic use in both postoperative assessments.

CONCLUSIONS

The Japanese version of Algoplus® is a reliable and valid instrument for nurses to easily assess acute postoperative pain in older Japanese patients with cancer and shows good responsiveness for detecting the change in pain status.

Pain Assessment for Patients with Dementia and Communication Impairment: Feasibility Study of the Usage of Artificial Intelligence-Enabled Wearables

BACKGROUND

Recent studies on machine learning have shown the potential to provide new methods with which to assess pain through the measurement of signals associated with physiologic responses to pain detected by wearables. We conducted a prospective pilot study to evaluate the real-world feasibility of using an AI-enabled wearable system for pain assessment with elderly patients with dementia and impaired communication.

METHODS

Sensor data were collected from the wearables, as well as observational data-based conventional everyday interventions. We measured the adherence, completeness, and quality of the collected data. Thereafter, we evaluated the most appropriate classification model for assessing the detectability and predictability of pain.

RESULTS

A total of 18 patients completed the trial period, and 10 of them had complete sensor and observational datasets. We extracted 206 matched records containing a 180 min long data segment from the sensor's dataset. The final dataset comprised 153 subsets labelled as moderate pain and 53 labelled as severe pain. After noise reduction, we compared the recall and precision performances of 14 common classification algorithms. The light gradient-boosting machine (LGBM) classifier presented optimal values for both performances.

CONCLUSIONS

Our findings tended to show that electrodermal activity (EDA), skin temperature, and mobility data are the most appropriate for pain detection.

Adult pain and anticipatory anxiety assessment in the emergency department: An integrative literature review

INTRODUCTION

Patients presenting to the emergency departments in pain often experience co-occurring symptoms. Anticipatory anxiety in the emergency department may be currently under-recognised. Clinical tools to facilitate the assessment of co-occurring symptoms aligns with providing more patient centred care and improved outcomes and experience.

AIMS

This integrative review aimed to identify and examine the psychometric properties of tools currently used for pain and anticipatory anxiety assessment in adult patients presenting to the emergency department. This study also aimed to identify the current clinical practice used to assess adult pain and anticipatory anxiety.

METHODS

Whittemore and Knafl's methodology guided the review process, and it is reported according to relevant items from PRISMA checklist. Studies were included if they focused on tools for pain or anxiety assessment of adults in emergency departments in English language publications since 2010. Quality of studies was evaluated using the Mixed Methods Appraisal Tool (MMAT). The results were summarised through narrative synthesis.

RESULTS

A total of 15 studies were identified for narrative synthesis. Six tools for pain, and four tools for anticipative anxiety were found. All currently used clinical tools assess symptoms in isolation. There was limited discussion of the clinical context of identified tools within the included studies.

CONCLUSION

Pain and anxiety assessment are currently performed in symptom isolation with a variety of tools with varying degrees of reliability. There exists a lack of clinical tools able to assess co-occurring symptoms of pain and anticipatory anxiety in the clinical setting of the emergency department. No studies discussed clinical tool use in current practice.

RELEVANCE TO CLINICAL PRACTICE

The reconstruction of available pain and anxiety assessment tools into one validated and holistic tool for assessment in the ED clinical setting, would provide a contextually appropriate guide to clinical assessment and treatment. Acknowledging and measuring these symptoms may facilitate future rigorous testing of experimental studies of novel methods to reduce pain and anxiety in the ED.

NO PATIENT OR PUBLIC CONTRIBUTION

Patient or public contribution does not apply to this Integrative Review.

CLINICAL TRIAL REGISTRATION NUMBER

Not applicable.

Effectiveness of interventions on the appropriate use of opioids for noncancer pain among hospital inpatients: A systematic review

AIMS

To summarise the effectiveness of interventions on appropriate opioid use for noncancer pain among hospital inpatients.

METHODS

Two reviewers independently searched 6 databases up to March 2018 original research articles reporting on quantitative outcomes of interventions on appropriate opioid use among hospital inpatients. Appropriate opioid use was measured by changes in prescribing, such as the lowest effective opioid dose and duration, or clinical outcomes such as adequate pain control. Quality and intervention complexity assessments were performed by 2 independent reviewers. The full methodological approach was published on PROSPERO (ID: CRD42019145947).

RESULTS

Of 398 full-text articles assessed for eligibility, 37 articles were included in the review. Most articles had a moderate or high risk of bias (27 of 37 studies). Thirty-one articles primarily addressed appropriate opioid use and 6 articles targeted opioid safety as a secondary outcome. A multifaceted approach was the most common primary intervention (16 studies) and adequate pain control was the main outcome measured (14 studies). Health provider education, reinforced by hard-copy material and feedback, was associated with a 13.0 to 29.5% increase in the proportion of opioid prescriptions written in concordance with local guidelines and reduced pain scores ranging from 7.0 to 34.5%. Interventions to improve opioid safety in patient-controlled analgesia reduced medication errors by up to 89.1%.

CONCLUSION

Interventions involving academic detailing and education, especially when reinforced by feedback, show positive effects on appropriate opioid use among hospital inpatients. Future studies investigating the impact of administrative interventions on opioid use and related outcomes are warranted.