PT  - JOURNAL ARTICLE
AU  - Honeymol John
AU  - Abdelrahman Nimeri
AU  - SAMER ELLAHHAM
TI  - Improved Surgical Site Infection (SSI) rate through accurately assessed surgical wounds
AID  - 10.1136/bmjquality.u205509.w2980
DP  - 2015 Jan 01
TA  - BMJ Quality Improvement Reports
PG  - u205509.w2980
VI  - 4
IP  - 1
4099  - http://bmjopenquality.bmj.com/content/4/1/u205509.w2980.short
4100  - http://bmjopenquality.bmj.com/content/4/1/u205509.w2980.full
SO  - BMJ Qual Improv Report2015 Jan 01; 4
AB  - Sheikh Khalifa Medical City’s (SKMC) Surgery Institute was identified as a high outlier in Surgical Site Infections (SSI) based on the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) - Semi-Annual Report (SAR) in January 2012. The aim of this project was to improve SSI rates through accurate wound classification.We identified SSI rate reduction as a performance improvement and safety priority at SKMC, a tertiary referral center. We used the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) best practice guidelines as a guide. ACS NSQIP is a clinical registry that provides risk-adjusted clinical outcome reports every six months. The rates of SSI are reported in an observed/expected ratio. The expected ratio is calculated based on the risk factors of the patients which include wound classification.We established a multidisciplinary SSI taskforce. The members of the SSI taskforce included the ACS NSQIP team members, quality, surgeons, nurses, infection control, IT, pharmacy, microbiology, and it was chaired by a colorectal surgeon. The taskforce focused on five areas: pre-op showering and hair removal, skin antisepsis, prophylactic antibiotics, peri-operative maintenance of glycaemia, and normothermia. We planned audits to evaluate our wound classification and our SSI rates based on the SAR.Our expected SSI rates in general surgery and the whole department were 2.52% and 1.70% respectively, while our observed SSI rates were 4.68% and 3.57% respectively, giving us a high outlier status with an odd’s ratio of 1.72 and 2.03. Wound classifications were identified as an area of concern. For example, wound classifications were preoperatively selected based on the default wound classification of the booked procedure in the Electronic Medical Record (EMR) which led to under classifying wounds in many occasions.A total of 998 cases were reviewed, our rate of incorrect wound classification assignment was 36%, and the worst rates were in appendectomies (97%). Over time our incorrect wound classification decreased down to 22%, while at the same time our actual SSI wound occurrences per month and our odds ratio of SSI in the department have decreased an average of six to three per month.We followed the best practice guidelines of the ACS NSQIP. Accurate assessment of wound classification is necessary to make sure the expected SSI rates are not falsely high if wounds are under-classified. The present study shows that accurate wound classification in contaminated and dirty wounds can lead to lower odds ratio of SSI.