Pain Management Practices by Nurses: An Application of the Knowledge, Attitude and Practices (KAP) Model

Glob J Health Sci. 2015 Oct 26;8(6):154-60. doi: 10.5539/gjhs.v8n6p154.

Abstract

Pain is one of the most common reasons that drive people to go to hospitals. It has been found that several factors affect the practices of pain management. In this regard, this study aimed at investigating the underlying determinants in terms of pain management practices. Based on reviewing the previous studies and the suggestions of the KAP model, it was hypothesized that the main elements of the KAP model (attitudes and knowledge) significantly predict the variation in the practices of nurses regarding pain management. A questionnaire comprising the KAP model' s constructs, i.e. knowledge and attitude towards pain management, as well as pain management practices, was used to collect data from 266 registered nurses (n=266) who are deemed competent in the management of patients' pain in the Jordanian public hospitals. The two constructs, attitude and knowledge, which are the main determinants of the KAP model were found to independently predict nurses' practices of managing patients' pain. Knowledge of pain management was found to be the strongest predictor. Additionally, it was found that about 69% of the variance in pain management could be explained by the constructs of the KAP model. Therefore, it is recommended that the Jordanian hospitals and universities focus on nurses' knowledge and attitude towards pain management in order to enhance their practices in the field of pain management.

MeSH terms

  • Adult
  • Attitude of Health Personnel*
  • Cross-Sectional Studies
  • Female
  • Health Knowledge, Attitudes, Practice*
  • Humans
  • Jordan
  • Male
  • Nurses / psychology*
  • Nurses / statistics & numerical data
  • Nursing Staff, Hospital / psychology*
  • Nursing Staff, Hospital / statistics & numerical data
  • Pain Management / methods
  • Pain Management / psychology*
  • Pain Management / statistics & numerical data*
  • Surveys and Questionnaires