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Aims and ObjectivesTo translate and validate the Nonverbal Pain Assessment Tool.BackgroundTimely assessment of the pain degree of nonverbal intensive care unit (ICU) patients can provide humanistic care. However, there is a lack of pain assessment tools that can meet the needs of patients who cannot use language in ICUs in China.DesignA cross‐sectional survey.MethodsWe conducted forward–backward translation of the Nonverbal Pain Assessment Tool. A total of 300 critically ill patients in the intensive care unit who could not communicate verbally completed the Chinese version of the Nonverbal Pain Assessment Tool and the Critical Care Pain Observation Tool. Exploratory and confirmatory factor analyses were performed to verify structural validity, and content validity and reliability analyses were also conducted.ResultsThe Nonverbal Pain Assessment Tool demonstrated high internal consistency (α = 0.901) and interrater reliability (intraclass correlation coefficient = 0.981), with good split‐half reliability. Content validity was established through acceptable item‐level content validity index and scale‐level content validity index scores. Exploratory factor analysis showed a single factor explaining 71.79% of total variance, and confirmatory factor analysis confirmed good model fit. The Spearman rank correlation coefficient was 0.917 between the Nonverbal Pain Assessment Tool and the Critical Care Pain Observation Tool. The Chinese Nonverbal Pain Assessment Tool demonstrated significant differences in scores between different states of consciousness and illness severity, supporting its known‐groups validity.ConclusionThe Chinese version of the Nonverbal Pain Assessment Tool is a reliable and valid tool for nonverbal pain assessment in ICU patients in China.Relevance to Clinical PracticeThe Chinese version of the Nonverbal Pain Assessment Tool can assess the pain of patients who cannot use language in ICU, which provides a new valuable assessment tool for Chinese clinicians and nurses in pain assessment and management.Reporting MethodOur study followed the STROBE Checklists.Patient or Public ContributionPatients actively cooperated and participated in data collection during the implementation of the study.
Aims and ObjectivesTo translate and validate the Nonverbal Pain Assessment Tool.BackgroundTimely assessment of the pain degree of nonverbal intensive care unit (ICU) patients can provide humanistic care. However, there is a lack of pain assessment tools that can meet the needs of patients who cannot use language in ICUs in China.DesignA cross‐sectional survey.MethodsWe conducted forward–backward translation of the Nonverbal Pain Assessment Tool. A total of 300 critically ill patients in the intensive care unit who could not communicate verbally completed the Chinese version of the Nonverbal Pain Assessment Tool and the Critical Care Pain Observation Tool. Exploratory and confirmatory factor analyses were performed to verify structural validity, and content validity and reliability analyses were also conducted.ResultsThe Nonverbal Pain Assessment Tool demonstrated high internal consistency (α = 0.901) and interrater reliability (intraclass correlation coefficient = 0.981), with good split‐half reliability. Content validity was established through acceptable item‐level content validity index and scale‐level content validity index scores. Exploratory factor analysis showed a single factor explaining 71.79% of total variance, and confirmatory factor analysis confirmed good model fit. The Spearman rank correlation coefficient was 0.917 between the Nonverbal Pain Assessment Tool and the Critical Care Pain Observation Tool. The Chinese Nonverbal Pain Assessment Tool demonstrated significant differences in scores between different states of consciousness and illness severity, supporting its known‐groups validity.ConclusionThe Chinese version of the Nonverbal Pain Assessment Tool is a reliable and valid tool for nonverbal pain assessment in ICU patients in China.Relevance to Clinical PracticeThe Chinese version of the Nonverbal Pain Assessment Tool can assess the pain of patients who cannot use language in ICU, which provides a new valuable assessment tool for Chinese clinicians and nurses in pain assessment and management.Reporting MethodOur study followed the STROBE Checklists.Patient or Public ContributionPatients actively cooperated and participated in data collection during the implementation of the study.
BackgroundAssessing pain in critically ill patients who cannot communicate verbally poses significant challenges. Traditional self-report measures are ineffective for these patients, making the need for reliable observational tools crucial.ObjectiveTo evaluate the effectiveness, reliability, and clinical applicability of the Critical Care Pain Observation Tool (CPOT) in various intensive care unit (ICU) settings and to explore potential innovations for improving its use and integration into clinical practice.MethodsA narrative review evaluated the Critical Care Pain Observation Tool (CPOT) for non-communicative ICU patients, comparing it to the Behavioral Pain Scale (BPS) and the FLACC scale. The review assessed CPOT's effectiveness across different ICU settings, identified limitations and challenges, and explored potential enhancements such as electronic scoring, additional physiological indicators, and improved training protocols.ResultsThe CPOT has been validated as an effective pain assessment tool for non-verbal ICU patients. It evaluates pain through facial expressions, body movements, muscle tension, and ventilator compliance. The CPOT shows superior sensitivity at 76.5% compared to 62.7% for the BPS and offers a more comprehensive assessment of pain indicators like muscle tension and ventilator compliance than the FLACC scale. Despite its strengths, the CPOT has limitations, including inter-rater variability and challenges in certain patient populations. Barriers to implementation include resource constraints and the need for extensive training.ConclusionThe Critical Care Pain Observation Tool (CPOT) is a highly effective instrument for assessing pain in non-verbal ICU patients, demonstrating superior accuracy and reliability compared to other tools like the Behavioral Pain Scale (BPS) and FLACC scale. Its detailed approach, covering facial expressions, body movements, muscle tension, and ventilator compliance, offers a detailed measure of pain. However, challenges such as inter-rater variability and limitations in specific patient populations highlight the need for ongoing refinement and research.
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