Literature DB >> 16054867

Do discharge codes underestimate hospitalisation due to heart failure? Validation study of hospital discharge coding for heart failure.

Aleem U Khand1, Morag Shaw, Islay Gemmel, John G F Cleland.   

Abstract

BACKGROUND: Discharge codes are frequently used to describe hospital activity related to heart failure (HF).
OBJECTIVES: To determine whether discharge codes for HF underestimated or overestimated hospital activity related to HF.
DESIGN: Patients with atrial fibrillation (AF), who commonly have HF, were identified and their case notes reviewed to identify cases of HF missed by discharge codes. PARTICIPANTS AND METHODS: Patients admitted between November 1997 and January 1998 with either HF or AF. Identification of HF and AF by ICD10 hospital discharge codes. Identification of additional cases of AF from a central hospital-wide ECG database.
RESULTS: We identified 330 cases with an ICD 10 code for HF, of which 43 (13%) were deemed to be miscoded, 32 patients (10%) were classified as possible, 39 (12%) as probable and 216 (65%) as definite HF. Results were similar whether or not HF was the primary discharge diagnosis. We identified 452 patients with AF, of whom 45 (10%) were classified as probable and 193 (43%) as definite HF. 129 (54%) of these cases had no diagnostic discharge code for HF. ICD 10 discharge codes for HF were correct in 77% of cases but identified only 66% of patients with probable or definite HF in this analysis. Screening of other diagnoses would have identified further cases of HF.
CONCLUSIONS: Hospital discharge codes substantially underestimate hospital events related to HF in the UK.

Entities:  

Mesh:

Year:  2005        PMID: 16054867     DOI: 10.1016/j.ejheart.2005.04.001

Source DB:  PubMed          Journal:  Eur J Heart Fail        ISSN: 1388-9842            Impact factor:   15.534


  24 in total

Review 1.  Administrative data have high variation in validity for recording heart failure.

Authors:  Susan Quach; Claudia Blais; Hude Quan
Journal:  Can J Cardiol       Date:  2010-10       Impact factor: 5.223

2.  Temporal Trends in Hospitalization for Acute Decompensated Heart Failure in the United States, 1998-2011.

Authors:  Sunil K Agarwal; Lisa Wruck; Miguel Quibrera; Kunihiro Matsushita; Laura R Loehr; Patricia P Chang; Wayne D Rosamond; Jacqueline Wright; Gerardo Heiss; Josef Coresh
Journal:  Am J Epidemiol       Date:  2016-02-19       Impact factor: 4.897

3.  Misclassification of incident hospitalized and outpatient heart failure in administrative claims data: the Atherosclerosis Risk in Communities (ARIC) study.

Authors:  Ricky Camplain; Anna Kucharska-Newton; Carmen C Cuthbertson; Jacqueline D Wright; Alvaro Alonso; Gerardo Heiss
Journal:  Pharmacoepidemiol Drug Saf       Date:  2017-01-25       Impact factor: 2.890

4.  Incidence, prevalence and 1-year all-cause mortality of heart failure in Germany: a study based on electronic healthcare data of more than six million persons.

Authors:  Christoph Ohlmeier; Rafael Mikolajczyk; Johann Frick; Franziska Prütz; Wilhelm Haverkamp; Edeltraut Garbe
Journal:  Clin Res Cardiol       Date:  2015-03-17       Impact factor: 5.460

5.  Measuring quality of care in syncope: case definition affects reported electrocardiogram use but does not bias reporting.

Authors:  Jeremiah D Schuur; Amy Justice
Journal:  Acad Emerg Med       Date:  2009-01       Impact factor: 3.451

6.  HbA 1c as a risk factor for heart failure in persons with diabetes: the Atherosclerosis Risk in Communities (ARIC) study.

Authors:  A Pazin-Filho; A Kottgen; A G Bertoni; S D Russell; E Selvin; W D Rosamond; J Coresh
Journal:  Diabetologia       Date:  2008-10-01       Impact factor: 10.122

7.  Positive predictive value and impact of misdiagnosis of a heart failure diagnosis in administrative registers among patients admitted to a University Hospital cardiac care unit.

Authors:  Shan Mard; Finn Erland Nielsen
Journal:  Clin Epidemiol       Date:  2010-10-21       Impact factor: 4.790

Review 8.  Economic burden of heart failure in the elderly.

Authors:  Lawrence Liao; Larry A Allen; David J Whellan
Journal:  Pharmacoeconomics       Date:  2008       Impact factor: 4.981

9.  Validity of coronary heart diseases and heart failure based on hospital discharge and mortality data in the Netherlands using the cardiovascular registry Maastricht cohort study.

Authors:  Audrey H H Merry; Jolanda M A Boer; Leo J Schouten; Edith J M Feskens; W M Monique Verschuren; Anton P M Gorgels; Piet A van den Brandt
Journal:  Eur J Epidemiol       Date:  2009-04-01       Impact factor: 8.082

Review 10.  Hospitalisation costs associated with heart failure with preserved ejection fraction (HFpEF): a systematic review.

Authors:  Hannah Clark; Rezwanul Rana; Jeff Gow; Melissa Pearson; Tom van der Touw; Neil Smart
Journal:  Heart Fail Rev       Date:  2021-03-25       Impact factor: 4.214

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.