Original Research Article
Year: 2017 | Month: February | Volume: 7 | Issue: 2 | Pages: 19-23
Analysis of No Show Patients at Day Surgery Program in a Multidisciplinary 1500 Bedded Hospital
Albalawi, Abdulaziz A1; Althwaibi, Abdullah T2; Alghamdi, Ali H3
1Armed Forces Hospital in Jubail, Saudi Arabia.
2Armed Forces Hospital Southern Region
3Prince Mansour Military Hospital
Corresponding Author: Albalawi, Abdulaziz A
ABSTRACT
Aims: To identify causes of patients not showing to their day surgery which will help to apply measures to reduce it.
Settings and Design: This is a cross-sectional study. All patients who didn’t show on their elective surgery from January 2016 until June 2016 at our 1500 bedded hospital were prospectively enrolled in this study.
Methods and Material: A list of patients who didn't show on their surgery day from January 2016 until June 2016 was obtained. A clerk from operating room services contacted the patients through the phone using a form which included patient’s name, gender, age, medical number, MRP, surgery department and reasons for no show.
Statistical analysis used: The collected data included the total number, gender, age, surgical specialties and reasons of no show were all entered into SPSS software for analysis. We calculated the number of scheduled cases and no show in each surgical division and compared the percentage of no show with gender and age groups. Pearson’s chi-squared test was used to compare between reasons of no show with each surgical division.
Results: A total of (5704) patients in 12 departments were scheduled for elective surgeries during 6-month study period. 583 (10.2%) surgeries were cancelled, 200 patients out of 583 (34.4%) were cancelled because of no show.
(36%) didn’t answer when confirming the surgery, (30%) had personal reason, (16%) were sick, (9%) claimed that their surgery was cancelled by the hospital, (8%) forgot their surgery appointment, 2 (1%) had their surgeries done elsewhere.
Conclusions: We believe that many of no show cases were potentially avoidable and we must take actions to reduce it by addressing each problem beginning with the initial booking and patient notification along with developing improved methods to ensure attendance.
Key words: Cancellation, no show, Operation room, Elective Surgery.