Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT02017951 |
Other study ID # |
XRB13069-GA |
Secondary ID |
|
Status |
Completed |
Phase |
|
First received |
|
Last updated |
|
Start date |
January 2001 |
Est. completion date |
August 2013 |
Study information
Verified date |
December 2013 |
Source |
University of Edinburgh |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
Introduction
Appendicitis is a common condition which represents a significant resource burden for the
Scottish National Health Service (NHS). It is unknown whether there are significant
differences in outcomes following appendicectomy which may be explained by geographic
factors.
Aims
The aim of this study is to describe appendicectomy outcomes in Scotland as they vary by the
urban-rural nature of the patient's home location and travel time from hospital.
Methods
This research study is a retrospective observational enquiry which will utilise
administrative data from the Information Services Division (ISD) of NHS National Services
Scotland. Patient episodes will be identified by a procedure code for appendicectomy, and the
urban-rural classification of patients will be derived from postcode data. Travel time from
hospital will also be estimated through postcode data. The investigators will study a 10 year
period from January 2001 to December 2010.
Primary outcome measures will be risk-adjusted 30 day/inpatient mortality, 30 day readmission
rate, 30 day re-operation rate, length of stay and negative appendicectomy rates.
Description:
The aim of this study is to explore the possibility that outcome from appendicectomy may vary
according to:
1. the urban-rural nature of the patient's home location and
2. travel time from hospital.
This is a retrospective study of all appendicectomies performed in Scotland during the period
from 1st January 2001 - 31st December 2010. It will use routinely collected administrative
data from the Information Services Division (ISD) of NHS National Services Scotland.
Potentially significant confounding variables such as age, gender, and co-morbidity will be
studied for their predictive value in a univariate model and included in a multivariate model
if they remain significant.
There is no single appendicectomy outcome measure which is a literature standard, so all of
the following will be evaluated as primary outcome measures: risk-adjusted 30 day/inpatient
mortality, 30 day readmission rate, 30 day re-operation rate, length of stay and negative
appendicectomy rates.
The registry which will supply the data for this study is the Scottish Morbidity Record 01
(SMR01), the full title of which is the "General / Acute Inpatient and Day Case dataset" (see
http://www.adls.ac.uk/nhs-scotland/general-acute-inpatient-day-case-smr01/?detail). SMR01 is
collated and administered by ISD, and data submission is mandatory for all Scottish NHS
providers of in-patient or day-case care. Approximately 1.4 million records are added each
year. Diagnoses are coded according to International Classification of Diseases (ICD)-10
standards and procedures are coded according to the United Kingdom's Office of Population
Census Statistics (OPCS) standards, the most recent of which is version 4.5.
The data quality in SMR01 is high and is assured by regular internal audits. In the 2010
audit of accuracy, Main Condition was recorded with an accuracy of 88% and Main Procedure was
recorded with an accuracy of 94%. Where data inconsistencies are identified in the extract
supplied for this study, further clarification will be obtained where possible with ISD's
data retrieval support team. Data completeness is very high in SMR01. However, where
significant volumes of data are missing or unusable, the need for data imputation will be
explored.
The study period was decided on pragmatically by a desire to provide an assessment of current
practice, fully within the era of widely practised laparoscopic surgery. A power calculation
also suggested that this would provide an adequate sample size to demonstrate differences.
Our power calculation- specific to length of stay- was based on Faiz O, Clark J, Brown T,
Bottle A, Antoniou A, Farrands P, et al. Traditional and Laparoscopic Appendectomy in Adults.
Ann Surg. 2008 Nov;248(5):800-6. In their cohort of 259,735 appendicectomies performed from
1996-2006, the geometric mean length of stay was 3.52, with SD 1.8. We decided that a
difference of 0.5 days would be 'clinically significant'. We specified alpha 0.05 and Power
0.9, and an allocation ratio of 2 (allowing comparison of one tertile to two others). A
two-sided t-test of difference between two independent means was performed in G*Power 3.1.7.
This demonstrated that a total N of 616 was required to demonstrate this difference.
According to ISD figures, there were 3,712 appendicectomy procedures performed in 2010/11, so
with numbers available we will be able to detect a clinically significant difference in
length of stay.
The investigators will use the Scottish government's own 8-fold urban-rural classification
system (see
http://www.scotland.gov.uk/Topics/Statistics/About/Methodology/UrbanRuralClassification) to
investigate the possible relationship between patient geographical location and outcome.
Urban-rural categories may be grouped for analysis, depending on initial exploratory work.
The investigators will further calculate the approximate travelling time from patient home
location (using postcode) to the treating hospital, by constructing isochrones at
time/distance intervals from hospitals. Travel time will be evaluated as a continuous and
discrete variable.