2015
DOI: 10.12968/hmed.2015.76.12.707
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Improving the accuracy of HES comorbidity codes by better documentation in surgical admission proforma

Abstract: Although HES codes can confidently predict the actual presence of the comorbidities, they have substandard accuracy and ability to rule out the presence of the comorbidities. Better documentation in clerking proforma can improve the accuracy and 'ruling out' ability of the HES codes. This can be achieved by improving knowledge and accountability of clinicians about documenting comorbidities.

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Cited by 12 publications
(7 citation statements)
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“…The accuracy of the clinical coding underlying the diagnostic and procedural coding can be a concern but accuracy rates are improving and the routinely collected data are robust for research 28 . Secondary diagnoses are likely under‐recorded but are accurate when included 29,30 . This study is unable to quantify the morbidity of untreated disease outside of hospital.…”
Section: Discussionmentioning
confidence: 98%
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“…The accuracy of the clinical coding underlying the diagnostic and procedural coding can be a concern but accuracy rates are improving and the routinely collected data are robust for research 28 . Secondary diagnoses are likely under‐recorded but are accurate when included 29,30 . This study is unable to quantify the morbidity of untreated disease outside of hospital.…”
Section: Discussionmentioning
confidence: 98%
“… 28 Secondary diagnoses are likely under‐recorded but are accurate when included. 29 , 30 This study is unable to quantify the morbidity of untreated disease outside of hospital. Some of the procedures that have not been performed due to the pandemic may no longer be indicated and the deficits are overestimated.…”
Section: Discussionmentioning
confidence: 99%
“…This Charlson Index was constructed based on diagnoses codes recorded at the indexed admission and during previous admissions that occurred within 1 year. Because the Charlson Index may be affected by changes in how health conditions are recorded in HES, 34 we entered interaction terms between the Charlson Index and financial year into our logistic regression model. Length of stay was entered into the risk-adjustment process, as every extra day spent in hospital was found to be associated with an increased risk of incurring an adverse health event, 35 possibly affecting the patients’ likelihood of recovery, but it might also indicate disease severity in the absence of any other adequate measures recorded within the HES database.…”
Section: Methodsmentioning
confidence: 99%
“…Improving the protocol for documenting comorbidities with clinicians and providing further training to administrative clerks could enhance the assessment of comorbidities using HES. [41]…”
Section: Discussionmentioning
confidence: 99%