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Association of pain ratings with the prediction of early physical recovery after general and orthopaedic surgery-A quantitative study with repeated measures
Jonköping University, Sweden; Ryhov County Hospital, Sweden.
Jonköping University, Sweden; Ryhov County Hospital, Sweden.
Jonköping University, Sweden.
Linköping University, Department of Medical and Health Sciences, Division of Nursing Science. Linköping University, Faculty of Health Sciences. Linnaeus University, Sweden; Kalmar County Hospital, Sweden.
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2017 (English)In: Journal of Advanced Nursing, ISSN 0309-2402, E-ISSN 1365-2648, Vol. 73, no 11, p. 2664-2675Article in journal (Refereed) Published
Abstract [en]

Aim: To compare different levels of self-rated pain and determine if they predict anticipated early physical recovery in patients undergoing general and orthopaedic surgery. Background: Previous research has indicated that average self-rated pain reflects patients ability to recover the same day. However, there is a knowledge gap about the feasibility of using average pain ratings to predict patients physical recovery for the next day. Design: Descriptive, quantitative repeated measures. Methods: General and orthopaedic inpatients (n = 479) completed a questionnaire (October 2012-January 2015) about pain and recovery. Average pain intensity at rest and during activity was based on the Numeric Rating Scale and divided into three levels (0-3, 4-6, 7-10). Three out of five dimensions from the tool "Postoperative Recovery Profile" were used. Because few suffered severe pain, general and orthopaedic patients were analysed together. Results: Binary logistic regression analysis showed that average pain intensity postoperative day 1 significantly predicted the impact on recovery day 2, except nausea, gastrointestinal function and bladder function when pain at rest and also nausea, appetite changes, and bladder function when pain during activity. High pain ratings (NRS 7-10) demonstrated to be a better predictor for recovery compared with moderate ratings (NRS 4-6), day 2, as it significantly predicted more items in recovery. Conclusion: Pain intensity reflected general and orthopaedic patients physical recovery postoperative day 1 and predicted recovery for day 2. By monitoring patients pain and impact on recovery, patients need for support becomes visible which is valuable during hospital stays.

Place, publisher, year, edition, pages
WILEY , 2017. Vol. 73, no 11, p. 2664-2675
Keyword [en]
assessment; nurse-patient interaction; nurse-patient relationships; pain; postoperative care; quantitative approaches
National Category
Other Medical Sciences not elsewhere specified
Identifiers
URN: urn:nbn:se:liu:diva-144158DOI: 10.1111/jan.13331ISI: 000418363000018PubMedID: 28475240OAI: oai:DiVA.org:liu-144158DiVA: diva2:1171789
Note

Funding Agencies|Futurum [598311]; Academy for Health and Care; County Council of Jonkoping, Sweden; FORSS, Medical Research Council of Southeast Sweden [376851]

Available from: 2018-01-08 Created: 2018-01-08 Last updated: 2018-01-08

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Årestedt, KristoferBroström, Anders
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