Web Application Development for Postdischarge Surgical Site Infection Surveillance
Keywords:
Web application, Surgical Site Infection, Surveillance, Post-discharge PatientAbstract
It is estimated that 23-44% of surgical site infections (SSIs) are detected after the patient is discharged. Effective post-discharge surveillance methods should be developed to obtain accurate SSI rates. This developmental research study aimed to develop a web application for post-discharge SSI surveillance and to study the effectiveness of the web application. The sample included 42 patients undergoing major surgery in a regional hospital. The web application was developed and data were collected between November 2017 and March 2018. The research instruments consisted of two parts: demographic data questionnaire and the web application for post-discharge SSI surveillance which included a SSI surveillance form and a satisfaction questionnaire. These instruments were validated by five content experts. The content validity index of the SSI surveillance form and web application satisfaction questionnaire were 1.0 and the reliability were 1.0 and .89 respectively. The effectiveness of the web application for post-discharge SSI surveillance was tested using one to one, small groups, and field tests. Data were analyzed using descriptive statistics.
The web application developed for post-discharge SSI surveillance consisted of two parts. The first part was the web frontend which included user login, demographic data, the SSI surveillance form, knowledge on assessment and care for surgical wound, summary of SSI signs and symptoms, surgical wound photos and communication with a healthcare provider, the web application satisfaction questionnaire, the user manual, duration of SSI surveillance and log out. The second part was a web application backend for administrator use which included information on the administrator, users, summary of patient data, daily summary of patient data, summary of web application satisfaction questionnaire, summary of SSI signs and symptoms and log out. The web application was found to be effective as all participants provided information on SSI signs and symptoms and all participants with SSO symptoms were diagnosed within 24 hours. Overall, user satisfaction for the web application was high to very high with regards to content (mean 4.40 – 4.51), design and presentation (mean 4.14 – 4.51), usability (mean 4.33 – 4.62) and overall satisfaction (mean 4.55).
The results of the study show that the web application for SSI surveillance was effective and could be used for post-discharge SSI surveillance to obtain complete information and accurate SSI rates. In addition, patients with SSI were detected early and quickly treated.
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