Identifying Barriers to Optimal Pain Management in ICU Nurses: A Cross-Sectional Analysis

Pain is a sensitive indicator in the nursing process, so assessment and pain management are the key factors to determining the quality of care and patient satisfaction, especially in critical care areas. The poor handling of pain can have a negative impact on critical patients. Pain management is influenced by internal factors and external factors. Internal factors are knowledge and attitudes while external factors are factors of organizational support and professional authority. This study aims to analyze the factors associated with the implementation of pain management. This study is a quantitative study with an analytic correlation design. The total sample of 84 nurses was taken using the total sampling technique. Data were collected using five questionnaires, namely Regarding Pain Knowledge and Attitudes Survey questionnaire, Perceived Organizational Support, Nursing Autonomy, and Current Practice Related to Pain Assessment and Pain Management. The results showed that the implementation of pain management was quite optimal (51.2%), factors related to the value (p <0.005), The dominant factors contribution score (35.7% for knowledge). The implementation of pain management is quite optimal, but there are some obstacles related to the implementation of pain management including knowledge, attitudes, and professional authority. Nurses are expected to increase their knowledge and competence through education and training to maintain the quality of the implementation of pain management.

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Publication Details

Journal
Journal Medical Informatics Technology
Published
2025-03-30
DOI
https://doi.org/10.37034/medinftech.v3i1.67
Citations
1
Primary Topic
Pain Management and Opioid Use
Type
article
Field-Weighted Citation Impact
2.19
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article

Identifying Barriers to Optimal Pain Management in ICU Nurses: A Cross-Sectional Analysis

Nurul Iklima, Maidartati Maidartati, Erna Irawan, Lia Nurlianawati et al.
1 citations
Journal Medical Informatics Technology
Pain Management and Opioid Use
2.19
article

Identifying Barriers to Optimal Pain Management in ICU Nurses: A Cross-Sectional Analysis

Nurul Iklima, Maidartati Maidartati, Erna Irawan, Lia Nurlianawati, Lisna Nuryanti
article en
1 citations

Abstract

Pain is a sensitive indicator in the nursing process, so assessment and pain management are the key factors to determining the quality of care and patient satisfaction, especially in critical care areas. The poor handling of pain can have a negative impact on critical patients. Pain management is influenced by internal factors and external factors. Internal factors are knowledge and attitudes while external factors are factors of organizational support and professional authority. This study aims to analyze the factors associated with the implementation of pain management. This study is a quantitative study with an analytic correlation design. The total sample of 84 nurses was taken using the total sampling technique. Data were collected using five questionnaires, namely Regarding Pain Knowledge and Attitudes Survey questionnaire, Perceived Organizational Support, Nursing Autonomy, and Current Practice Related to Pain Assessment and Pain Management. The results showed that the implementation of pain management was quite optimal (51.2%), factors related to the value (p <0.005), The dominant factors contribution score (35.7% for knowledge). The implementation of pain management is quite optimal, but there are some obstacles related to the implementation of pain management including knowledge, attitudes, and professional authority. Nurses are expected to increase their knowledge and competence through education and training to maintain the quality of the implementation of pain management.

Journal Medical Informatics Technology
Indonesian Orthopaedic Association (ID), ARS University
Openalex Percentile: Top 16%
Pain Management and Opioid Use
2.19
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Identifying Barriers to Optimal Pain Management in ICU Nurses: A Cross-Sectional Analysis — Nurul Iklima, Maidartati Maidartati, et al. · Journal Medical Informatics Technology (2025) | TGRS Research Map | TGRS