Factors Influencing Postoperative Symptom Clusters

Monday, 30 July 2012: 10:45 AM

Supaporn Duangpaeng, DNS
Faculty of Nursing, Burapha University, Muang Chonburi, Thailand
Julaluk Baramee, PhD
Nursing, Burapha University, Chonburi, Thailand

Learning Objective 1: The learner will be able to describe the important of postoperative symptom clusters

Learning Objective 2: The learner will be able to explain factor influencing postoperative symptom clusters among Persons Undergone Abdominal Surgery

Purpose:

Post abdominal surgery symptom clusters not only have an effect on patient suffering but also cause complication and delay recovery. This secondary study aims to examine factors influencing post abdominal surgery symptom clusters.

 Methods:

The sample was 150 patients having abdominal surgery. Data were collected by demographic data form, post abdominal surgery complication and symptom assessment scale. Descriptive statistics, factor analysis and stepwise multiple regression were used to analyze data.

Results:

The results revealed that, on the first, third and fifth post-operative day, there were two symptom clusters for each day. The first symptom cluster of first post-operative day were 1) post-operative pain, flatulence and fatigue, and 2) anxiety and insomnia. The first cluster could be significantly predicted by wound size and type of surgery (Beta= .236 and .179 respectively; R2 = 8.9). Patients undergone emergency surgery had higher symptom cluster scores than those having elective surgery. No factor could predict the second cluster.

Two symptom clusters of the third post-operative day were 1) post-operative pain, flatulence fatigue and insomnia, and 2) anxiety and nausea/vomiting. The first cluster could be significantly predicted by wound size, post-operative complication and type of surgery (Beta= .338, .242 and .213 respectively; R2 = 8.9), whereas the second could be significantly predicted by age (Beta= .279, R2 = 7.8).

Two symptom clusters of the fifth post-operative day were 1) post-operative pain, flatulence and fatigue, and 2) anxiety and insomnia. The first cluster could be significantly predicted by wound size (Beta= .282, R2 = 8.0) whereas the second could be significantly predicted by wound size and operative time (Beta=.286 and .226 respectively; R2 = 19.1).

 Conclusion:

The results of this study could be used as a basic knowledge for developing guidelines to effectively manage post-operative symptom for persons undergone abdominal surgery and research program related to post-operative symptom cluster.