Predictors for Early Physical Recovery for General and Orthopedic Patients after Major Surgery: Structural Equational Model Analyses

Pain Manag Nurs. 2020 Aug;21(4):371-378. doi: 10.1016/j.pmn.2019.10.001. Epub 2019 Nov 9.

Abstract

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Female
  • Humans
  • Latent Class Analysis
  • Male
  • Middle Aged
  • Orthopedic Procedures / adverse effects*
  • Orthopedic Procedures / methods
  • Orthopedic Procedures / statistics & numerical data
  • Pain Measurement / methods
  • Pain, Postoperative / etiology
  • Pain, Postoperative / psychology
  • Recovery of Function / physiology*
  • Surveys and Questionnaires
  • Sweden