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Predictors for Early Physical Recovery for General and Orthopedic Patients after Major Surgery: Structural Equational Model Analyses
Jönköping University, School of Health and Welfare. Department of Anesthesia and Intensive Care, Ryhov County Hospital, Jönköping, Sweden.
Jönköping University, School of Health and Welfare, HHJ. ADULT. Jönköping University, School of Health and Welfare, HHJ, Dep. of Nursing Science. Department of Anesthesia and Intensive Care, Ryhov County Hospital, Jönköping, Sweden.
Jönköping University, School of Health and Welfare, HHJ, Dep. of Nursing Science. Jönköping University, School of Health and Welfare, HHJ. ADULT. Department of Clinical Neurophysiology, University Hospital, Linköping, Sweden.ORCID iD: 0000-0003-1884-5696
Jönköping University, School of Health and Welfare, HHJ, Dep. of Nursing Science. Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran.ORCID iD: 0000-0002-8798-5345
2019 (English)In: Pain Management Nursing, ISSN 1524-9042, E-ISSN 1532-8635Article in journal (Refereed) Epub ahead of print
Abstract [en]

Background:

Attention to factors that may affect patients’ ability to experience enhanced recovery after surgery is essential in planning for postoperative care.

Aims:

To create models of predefined pre,- peri-, and postoperative variables in order to analyze their impact on patients’ physical recovery on postoperative days 1 and 2 after major orthopedic and general surgery.

Design:

An exploratory design with repeated measures was used, including 479 patients who had undergone orthopedic (289) or general surgery (190) at three hospitals.

Methods:

Pain, nausea, and level of physical ability were measured preoperatively and on postoperative days 1 and 2 by using the Numerical Rating Scale and items from the Postoperative Recovery Profile. Structural equation modeling was used to explore the impact of the predefined variables on patients’ physical recovery.

Results:

The orthopedic group contained significantly more women and significantly more patients with pain and opioid use. Although the models showed good fit, “traditional” preoperative (pain, nausea, physical abilities, chronic pain, opioid use) and perioperative variables (anesthesia, length of surgery) constituted few (orthopedic) or no (general surgery) predictive properties for physical recovery. Postoperative average pain intensity, average nausea intensity, and physical ability explained physical recovery on day 1, and physical recovery on day 1 predicted physical recovery on day 2.

Conclusions:

“Traditional” predictors had little effect on patients’ postoperative physical recovery, while associations with common postoperative symptoms were shown. Further research is needed to explore additional variables affecting early physical recovery and to understand how soon patients are physically ready to return home. 

Place, publisher, year, edition, pages
2019.
National Category
Physiotherapy
Identifiers
URN: urn:nbn:se:hj:diva-46987DOI: 10.1016/j.pmn.2019.10.001Scopus ID: 2-s2.0-85075379398Local ID: ;HHJADULTIS, HHJÖvrigtISOAI: oai:DiVA.org:hj-46987DiVA, id: diva2:1375685
Available from: 2019-12-05 Created: 2019-12-05 Last updated: 2019-12-05

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Eriksson, KerstinWikström, LottaBroström, AndersPakpour, Amir H.

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