Literature DB >> 4047705

Surgical patients' expectations of pain and discomfort: does accuracy of expectations minimise post-surgical pain and distress?

L M Wallace.   

Abstract

The predictive relationship of expectancies of pain and symptoms to the experience of postoperative pain, symptoms and distress are examined in two studies of adult patients undergoing minor gynaecological surgery. The first hypothesis is based on the clinical wisdom that patients who expect pain to occur will report greater pain intensity than patients who do not hold these expectancies. That is, pain and symptom expectation and experience are positively associated. A second hypothesis based on a cognitive information processing model suggests that the greater the discrepancy between expected and actual pain the greater the experience of postoperative distress. A third hypothesis suggests that the direction of the discrepancy is important such that those patients who expect pain to be more intense than it is in actuality will report being least distressed. Data are presented which partially support all 3 hypotheses. A critical test between the second and third hypotheses did not provide support for either hypothesis. The positive correlations between expected and reported pain and emotional variables suggest that the manipulation of patients' emotional responses may be as effective as manipulating pain expectancies in controlling the pain and distress of surgery. This is supported by the finding that patients who receive accurate preparatory information about their surgery, in comparison to those who had no additional information, reported lower pain intensity but did not differ on expected pain intensity before the operation. However, the experimental manipulation was associated with reduced pain and emotional responses after surgery. The implications for the design of preparatory psychological interventions to reduce the pain and distress of surgery are discussed.

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Year:  1985        PMID: 4047705     DOI: 10.1016/0304-3959(85)90042-9

Source DB:  PubMed          Journal:  Pain        ISSN: 0304-3959            Impact factor:   6.961


  7 in total

1.  Patient expectations and postoperative depression, anxiety, and psychosocial adjustment after temporal lobectomy: a prospective study.

Authors:  K J Rose; P A Derry; R S McLachlan
Journal:  Int J Behav Med       Date:  1995

Review 2.  Patient expectations and patient-reported outcomes in surgery: a systematic review.

Authors:  Jennifer Waljee; Evan P McGlinn; Erika Davis Sears; Kevin C Chung
Journal:  Surgery       Date:  2013-12-16       Impact factor: 3.982

3.  [Perioperative patient management. Evaluation of subjective stress and demands of patients undergoing elective gynaecological surgery].

Authors:  B Gauter-Fleckenstein; R Kaviani; C Weiss; A Burges; M Korell; C Anthuber; H-D Hermann; E Weninger; U Kreimeier
Journal:  Anaesthesist       Date:  2007-06       Impact factor: 1.041

4.  Patient knowledge of operative care.

Authors:  O A Williams
Journal:  J R Soc Med       Date:  1993-06       Impact factor: 5.344

5.  Predictors of expectancies for post-surgical pain and fatigue in breast cancer surgical patients.

Authors:  Julie B Schnur; Michael N Hallquist; Dana H Bovbjerg; Jeffrey H Silverstein; Angelina Stojceska; Guy H Montgomery
Journal:  Pers Individ Dif       Date:  2007

6.  Randomised, double-blind, parallel group, placebo-controlled study to evaluate the analgesic efficacy and safety of VVZ-149 injections for postoperative pain following laparoscopic colorectal surgery.

Authors:  Srdjan S Nedeljkovic; Darin J Correll; Xiaodong Bao; Natacha Zamor; Jose L Zeballos; Yi Zhang; Mark J Young; Johanna Ledley; Jessica Sorace; Kristen Eng; Carlyle P Hamsher; Rajivan Maniam; Jonathan W Chin; Becky Tsui; Sunyoung Cho; Doo H Lee
Journal:  BMJ Open       Date:  2017-02-17       Impact factor: 2.692

Review 7.  A systematic review of factors associated with side-effect expectations from medical interventions.

Authors:  Louise E Smith; Rebecca K Webster; G James Rubin
Journal:  Health Expect       Date:  2020-04-13       Impact factor: 3.377

  7 in total

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