Podium (General) 16

A 5-Year Analysis of The Quality Of Life Of Patients After Surgery With Ipsilateral Femoral And Tibial Fractures From January 2012-December 2017 Using Sf-36

John Louie Escarda, MD
VSMMC

Introduction: This study will be conducted to provide   evidence-based reference that could serve as useful guidance for surgeons in   dealing with this type of injury in a tertiary, government-owned facility   that caters mostly to morbid cases.


Methods: A total of 30 patients admitted last January   2012- December 2017 with ipsilateral femur and tibia fractures who underwent   surgery in our institution were included in the study. The instrument used   was a web-based SF 36 questionnaire to investigate quality of life. To   correlate the profile of patients with the quality of life,   independent-sample T test, ANOVA, Mann-Whitney U test and Tukey HSD was used.


Results: From the year   2012 to 2017, a total of 56 patients had an ipsilateral femur and tibia   fracture admitted in our institution who underwent operation for the   fracture. Thirty of the 56 responded when contacted to answer the   questionnaire and were included in the study. Most of the patients were   aged ≥ 30 years at 50% followed by age   group of 31-45 years at 33.33%, 13.33%   from age 46-60 years and 3.33% from over 61 years old. There was an equal   prevalence in gender among male and female. It was also noted that 76.67% (23 out of 30) were unemployed and   33.33% (7 out of 30) were employed prior to the injury. Motor vehicular   accident accounted for all ipsilateral femur and tibia fractures. Analysis of Gender, Employment status,   Rehabilitation status and Presence of associated injuries with Quality of   life has no significant correlation. However, Age, Surgery Performed and   Hospital stay showed significant correlation.


Conclusion: Analysis of quality of life correlates an increase in age also has an   increase in physical limitation, external fixation of both femur and tibia   had poorer outlook of general health and longer hospital stays have lower   energies based on SF-36 questionnaire.