Effect of RR (coefficient and standard error) on hospital cost.

<p>Effect of RR (coefficient and standard error) on hospital cost.</p

Outcomes, the corresponding explanatory variables and the regression models.

<p>Outcomes, the corresponding explanatory variables and the regression models.</p

Main characteristics of patients with liver disease.

<p>Main characteristics of patients with liver disease.</p

Effect of RR (coefficient and standard error) on in-hospital mortality.

<p>Effect of RR (coefficient and standard error) on in-hospital mortality.</p

Additional file 1: Table S1. of Development and validation of method for defining conditions using Chinese electronic medical record

EMR definitions for liver diseases, disease severity conditions, comorbidities and treatments. Table S2. Validity results of the 29 EMR definitions for comorbidities and treatments. (DOC 251 kb

Incidence of Appendicitis over Time: A Comparative Analysis of an Administrative Healthcare Database and a Pathology-Proven Appendicitis Registry

<div><p>Importance</p><p>At the turn of the 21^st century, studies evaluating the change in incidence of appendicitis over time have reported inconsistent findings.</p><p>Objectives</p><p>We compared the differences in the incidence of appendicitis derived from a pathology registry versus an administrative database in order to validate coding in administrative databases and establish temporal trends in the incidence of appendicitis.</p><p>Design</p><p>We conducted a population-based comparative cohort study to identify all individuals with appendicitis from 2000 to2008.</p><p>Setting & Participants</p><p>Two population-based data sources were used to identify cases of appendicitis: 1) a pathology registry (n = 8,822); and 2) a hospital discharge abstract database (n = 10,453).</p><p>Intervention & Main Outcome</p><p>The administrative database was compared to the pathology registry for the following <i>a priori</i> analyses: 1) to calculate the positive predictive value (PPV) of administrative codes; 2) to compare the annual incidence of appendicitis; and 3) to assess differences in temporal trends. Temporal trends were assessed using a generalized linear model that assumed a Poisson distribution and reported as an annual percent change (APC) with 95% confidence intervals (CI). Analyses were stratified by perforated and non-perforated appendicitis.</p><p>Results</p><p>The administrative database (PPV = 83.0%) overestimated the incidence of appendicitis (100.3 per 100,000) when compared to the pathology registry (84.2 per 100,000). Codes for perforated appendicitis were not reliable (PPV = 52.4%) leading to overestimation in the incidence of perforated appendicitis in the administrative database (34.8 per 100,000) as compared to the pathology registry (19.4 per 100,000). The incidence of appendicitis significantly increased over time in both the administrative database (APC = 2.1%; 95% CI: 1.3, 2.8) and pathology registry (APC = 4.1; 95% CI: 3.1, 5.0).</p><p>Conclusion & Relevance</p><p>The administrative database overestimated the incidence of appendicitis, particularly among perforated appendicitis. Therefore, studies utilizing administrative data to analyze perforated appendicitis should be interpreted cautiously.</p></div

Additional file 1: of ACSC Indicator: testing reliability for hypertension

Canadian Institute for Health Information methodology to identify ACSC hospitalizations for uncomplicated hypertension in the discharge abstract database. (DOC 33 kb

Comparative analysis in incidence and temporal trends between cohorts of appendicitis patients derived from a pathology-proven registry and an administrative healthcare database.

<p>Comparative analysis in incidence and temporal trends between cohorts of appendicitis patients derived from a pathology-proven registry and an administrative healthcare database.</p

Flow-chart of the study populations derived for the pathology proven registry and the administrative healthcare database.

<p>Flow-chart of the study populations derived for the pathology proven registry and the administrative healthcare database.</p

Incidence of Appendicitis over Time: A Comparative Analysis of an Administrative Healthcare Database and a Pathology-Proven Appendicitis Registry - Fig 2

<p>Annual incidence of appendicitis stratified by perforated and non-perforated from cohorts derived by A) a pathology proven registry; and B) an administrative healthcare database.</p