Positive predictive value of peptic ulcer diagnosis codes in the Danish National Patient Registry

نویسندگان

  • Søren Viborg
  • Kirstine Kobberøe Søgaard
  • Peter Jepsen
چکیده

BACKGROUND Diagnoses of peptic ulcer are registered in the Danish National Patient Registry (DNPR) for administrative as well as research purposes, but it is unknown whether the coding validity depends on the location of the ulcer. OBJECTIVE To validate the International Classification of Diseases, 10th revision diagnosis codes of peptic ulcer in the DNPR by estimating positive predictive values (PPVs) for gastric and duodenal ulcer diagnoses. METHODS We identified all patients registered with a hospital discharge diagnosis of peptic ulcer from Aarhus University Hospital, Denmark, in 1995-2006. Among them, we randomly selected 200 who had an outpatient gastroscopy at the time of ulcer diagnosis. We reviewed the findings from these gastroscopies to confirm the presence of peptic ulcer and its location. We calculated PPVs and corresponding 95% confidence intervals (CIs) of gastric and duodenal ulcer diagnoses, using descriptions from the gastroscopic examinations as standard reference. RESULTS In total, 182 records (91%) were available for review. The overall PPV of peptic ulcer diagnoses in DNPR was 95.6% (95% CI 91.5-98.1), with PPVs of 90.3% (95% CI 82.4-95.5) for gastric ulcer diagnoses, and 94.4% (95% CI 87.4-98.2) for duodenal ulcer diagnoses. PPVs were constant over time. CONCLUSION The PPV of uncomplicated peptic ulcer diagnoses in the DNPR is high, and the location of the ulcers is registered correctly in most cases, indicating that the diagnoses are useful for research purposes.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Validation of diagnostic codes for Charcot–Marie–Tooth disease in the Danish National Patient Registry

PURPOSE To validate the diagnostic codes for Charcot-Marie-Tooth disease (CMT) in the Danish National Patient Registry (DNPR) using positive predictive value (PPV) as a measure of validity. PATIENTS AND METHODS We used the DNPR to identify all patients diagnosed with at least one primary CMT diagnosis at a specialized department in the Central Denmark Region during the period 1977-2012. From ...

متن کامل

Validity and underrecording of diagnosis of COPD in the Danish National Patient Registry.

INTRODUCTION We examined the positive predictive value of diagnoses of acute exacerbation of chronic obstructive pulmonary disease (COPD) in the Danish National Patient Registry. We also examined the negative predictive value of acute pneumonia or respiratory failure discharge diagnoses for absence of underlying COPD. METHODS We identified all patients aged 30 years or older with acute hospit...

متن کامل

Validity of the recorded codes of gonadotropin-releasing hormone agonist treatment and orchiectomies in the Danish National Patient Registry

PURPOSE Large-scale observational studies based on existing medical databases may have an important role in studies of long-term effects of different treatments in prostate cancer patients if the coding of the treatment is valid. We therefore estimated the positive predictive value (PPV) and negative predictive value (NPV) of hospital codes for gonadotropin-releasing hormone (GnRH) agonist trea...

متن کامل

Positive predictive value of the infant respiratory distress syndrome diagnosis in the Danish National Patient Registry

BACKGROUND Infant respiratory distress syndrome (IRDS) is the most common respiratory disease in preterm infants, and is associated with considerable morbidity and mortality. Valid data on IRDS are important in clinical epidemiological research. OBJECTIVES The objective of this study was to estimate the positive predictive value (PPV) of the IRDS diagnosis registered in the population-based D...

متن کامل

Positive predictive value of the ICD-10 hospital diagnosis of pleural empyema in the Danish National Registry of Patients

OBJECTIVE Health care databases are a valuable source for epidemiological research in respiratory diseases if diagnoses are valid. We validated the International Classification of Diseases, 10th revision (ICD-10) diagnosis of pleural empyema in the Danish National Registry of Patients (DNRP). METHODS We randomly selected hospitalized patients registered in the DNRP with a discharge diagnosis ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره 9  شماره 

صفحات  -

تاریخ انتشار 2017