Objectives This paper aimed to determine the baseline accu- codes were included. Overall, HES codes for comorbidities racy, sensitivity, specificity, positive predictive value (PPV), in patients undergoing colectomy had substandard accuracy and negative predictive value (NPV) of routinely collected 94% (kappa 0.542), sensitivity (39%), and NPV (89%). The comorbidity data in patients undergoing any types of HES codes were 100% specific with PPVof 100%. The results colectomy. were consistent when individual comorbidities were analyzed Methods All patients aged >18 who underwent right separately. hemicolectomy, left hemicolectomy, sigmoid colectomy, sub- Conclusions Our results demonstrated that HES comorbidity total colectomy, or total colectomy between 1 January 2015 codes in patients undergoing colectomy are specific with good and 1 November 2016 were identified. The following comor- positive predictive value; however, they have substandard ac- bidities were considered: hypertension, ischemic heart disease curacy, sensitivity, and negative predictive value. Better doc- (IHD), diabetes, asthma, chronic obstructive pulmonary dis- umentation of comorbidities in admission clerking proforma ease (COPD), cerebrovascular disease (CVD), chronic kidney may help to improve the quality of source documents for disease (CKD), and hypercholesterolemia. The comorbidity coders, which in turn may improve the accuracy of coding. data from clinical notes were compared
International Journal of Colorectal Disease – Springer Journals
Published: May 8, 2017
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