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Table 1 Case ascertainment algorithms for diabetes, ischaemic heart disease, heart failure and COPD

From: Chronic disease prevalence from Italian administrative databases in the VALORE project: a validation through comparison of population estimates with general practice databases and national survey

Disease

Administrative data

GP data

 

HOSP

DRUG

EXE

PROBLEM

 

(ICD9CM)+

(ATC)++

(ICD9CM)

(ICD9CM)

Diabetes mellitus

250*

A10

250

250*

Treated diabetes

 

A10

 

250* AND

    

A10++++

Ischaemic heart disease

410-*414*

C01DA

414

410-*414*

Heart failure

428*, 40201,

-

428

428*, 40201,

 

40211, 40291,

  

40211, 40291,

 

40401, 40403,

  

40401, 40403,

 

40411, 40413,

  

40411, 40413,

 

40491, 40493

  

40491, 40493

COPD

490*-492*,

R0+++

-

490*-492*,

 

494*, 496*

  

494*, 496*

  1. Algorithms for case ascertainment of diabetes, ischaemic heart disease, heart failure, and chronic obstructive pulmonary disease (COPD), respectively from regional administrative databases and from GP databases. Regional administrative databases link Hospital discharge records (HOSP), Drug dispensation records (DRUG), and Disease-specific exemptions (EXE) from 2003 to 2008, and a patient was classified as having the selected disease if at least one of the listed conditions were met, ie condition 1 OR condition 2 OR condition 3. GP databases were queried in the PROBLEM field of the clinical database, where diagnosis are coded.
  2. +Either in main or in one of the secondary diagnoses.
  3. ++At least two dispensations in different dates in a single year.
  4. +++A specific algorithm involving number, heterogeneity of ATC codes and time span of dispensations is used, see [21].
  5. ++++Patients having at least 2 prescriptions in one of the previous 2 years.