Literature DB >> 16129380

Developing and testing a questionnaire to assess the quality of pain management in acute care in Sweden.

Elisabeth Hansson1, Bengt Fridlund, Inger Hallström.   

Abstract

Pain management is an important indicator of the quality of patient care. The aim of this study was to develop and test a questionnaire to assess the quality of pain management in acute care in Sweden with emphasis on validity and reliability, as well as pain severity, interference with function, and patient participation. A descriptive cross-sectional study was conducted with consecutively selected patients in pain (n=100 in study group I and n=127 in study group II) who completed the questionnaire. Cronbach's reliability coefficient alpha for 20 items in the questionnaire was 0.80. The construct validity of the questionnaire was estimated using a principal components analysis. Four orthogonal factors were identified: (1) "Interference with function," (2) "Pain severity," (3) "Communication," and (4) "Participation." The results indicate that the item "pain right now" is reliable and valid, although the item was divided to assess pain at rest as well as with movement. Interference scores were significantly and positively correlated with pain scores at rest and with movement, as well as with average pain scores. High numeric rating scale scores influenced both the patients' enjoyment of life and their capacity to walk and general activity. The questionnaire is considered to be a useful, reliable, and valid self-report tool to assess the quality of pain management in acute care. A few items need to be refined, tested, and evaluated in future research.

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Year:  2005        PMID: 16129380     DOI: 10.1016/j.pmn.2005.06.002

Source DB:  PubMed          Journal:  Pain Manag Nurs        ISSN: 1524-9042            Impact factor:   1.929


  1 in total

1.  Psychometric evaluation of the Chinese version of the revised American Pain Society Patient Outcome Questionnaire concerning pain management in Chinese orthopedic patients.

Authors:  Huan Fang; Jingjuan Liang; Zhen Hong; Kenji Sugiyama; Takao Nozaki; Susumu Kobayashi; Tetsuro Sameshima; Hiroki Namba; Tetsuya Asakawa
Journal:  PLoS One       Date:  2017-05-25       Impact factor: 3.240

  1 in total

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