Validity of ICD-9-CM codes for breast, lung and colorectal cancers in three Italian administrative healthcare databases: a diagnostic accuracy study protocol

被引:16
作者
Abraha, Iosief [1 ]
Serraino, Diego [2 ]
Giovannini, Gianni [1 ]
Stracci, Fabrizio [3 ]
Casucci, Paola [4 ]
Alessandrini, Giuliana [4 ]
Bidoli, Ettore [2 ]
Chiari, Rita [5 ]
Cirocchi, Roberto [6 ,7 ]
De Giorgi, Marcello [4 ]
Franchini, David [4 ]
Vitale, Maria Francesca [8 ]
Fusco, Mario [8 ]
Montedori, Alessandro [1 ]
机构
[1] Reg Hlth Author Umbria, Hlth Planning Serv, Perugia, Italy
[2] Ctr Riferimento Oncol Aviano, Epidemiol & Biostat Unit, Aviano, Italy
[3] Univ Perugia, Dept Publ Hlth, I-06100 Perugia, Italy
[4] Reg Hlth Author Umbria, Hlth ICT Serv, Perugia, Italy
[5] Azienda Osped Perugia, Dipartimento Oncol, Perugia, Italy
[6] Univ Perugia, Dept Digest Surg, I-06100 Perugia, Italy
[7] Univ Perugia, Liver Unit, I-06100 Perugia, Italy
[8] Registro Tumori Reg Campania, ASL NA3 Sud, Brusciano, Italy
关键词
administrative database; validating ICD-9 codes; breast; lung and colorectal cancers; POSITIVE PREDICTIVE-VALUE; VALIDATION; ALGORITHM; OUTCOMES; DISEASE; SURGERY; PROJECT; STROKE; WOMEN;
D O I
10.1136/bmjopen-2015-010547
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction Administrative healthcare databases are useful tools to study healthcare outcomes and to monitor the health status of a population. Patients with cancer can be identified through disease-specific codes, prescriptions and physician claims, but prior validation is required to achieve an accurate case definition. The objective of this protocol is to assess the accuracy of International Classification of Diseases Ninth RevisionClinical Modification (ICD-9-CM) codes for breast, lung and colorectal cancers in identifying patients diagnosed with the relative disease in three Italian administrative databases. Methods and analysis Data from the administrative databases of Umbria Region (910000 residents), Local Health Unit 3 of Napoli (1170000 residents) and Friuli-Venezia Giulia Region (1227000 residents) will be considered. In each administrative database, patients with the first occurrence of diagnosis of breast, lung or colorectal cancer between 2012 and 2014 will be identified using the following groups of ICD-9-CM codes in primary position: (1) 233.0 and (2) 174.x for breast cancer; (3) 162.x for lung cancer; (4) 153.x for colon cancer and (5) 154.0-154.1 and 154.8 for rectal cancer. Only incident cases will be considered, that is, excluding cases that have the same diagnosis in the 5years (2007-2011) before the period of interest. A random sample of cases and non-cases will be selected from each administrative database and the corresponding medical charts will be assessed for validation by pairs of trained, independent reviewers. Case ascertainment within the medical charts will be based on (1) the presence of a primary nodular lesion in the breast, lung or colon-rectum, documented with imaging or endoscopy and (2) a cytological or histological documentation of cancer from a primary or metastatic site. Sensitivity and specificity with 95% CIs will be calculated. Dissemination Study results will be disseminated widely through peer-reviewed publications and presentations at national and international conferences.
引用
收藏
页数:5
相关论文
共 40 条
[1]   Haemoptysis in adults: a 5-year study using the French nationwide hospital administrative database [J].
Abdulmalak, Caroline ;
Cottenet, Jonathan ;
Beltramo, Guillaume ;
Georges, Marjolaine ;
Camus, Philippe ;
Bonniaud, Philippe ;
Quantin, Catherine .
EUROPEAN RESPIRATORY JOURNAL, 2015, 46 (02) :503-511
[2]  
[Anonymous], PHARMACOEPIDEMIOLOGY
[3]  
[Anonymous], 2014, INT J STAT MED RES, DOI DOI 10.6000/1929-6029.2014.03.03.10
[4]  
[Anonymous], 1992, INT STAT CLASS DIS H
[5]   A high positive predictive value algorithm using hospital administrative data identified incident cancer cases [J].
Baldi, Ileana ;
Vicari, Piera ;
Di Cuonzo, Daniela ;
Zanetti, Roberto ;
Pagano, Eva ;
Rosato, Rosalba ;
Sacerdote, Carlotta ;
Segnan, Nereo ;
Merletti, Franco ;
Ciccone, Giovannino .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2008, 61 (04) :373-379
[6]   Development and use of reporting guidelines for assessing the quality of validation studies of health administrative data [J].
Benchimol, Eric I. ;
Manuel, Douglas G. ;
To, Teresa ;
Griffiths, Anne M. ;
Rabeneck, Linda ;
Guttmann, Astrid .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2011, 64 (08) :821-829
[7]   Validity-of hospital discharge diagnoses for public health surveillance of the Guillain-Barre syndrome [J].
Bogliun, G ;
Beghi, E .
NEUROLOGICAL SCIENCES, 2002, 23 (03) :113-117
[8]   Towards complete and,accurate reporting of studies of diagnostic accuracy: the STARD initiative [J].
Bossuyt, PM ;
Reitsma, JB ;
Bruns, DE ;
Gatsonis, CA ;
Glasziou, PP ;
Irwig, LM ;
Lijmer, JG ;
Moher, D ;
Rennie, D ;
de Vet, HCE .
BRITISH MEDICAL JOURNAL, 2003, 326 (7379) :41-44
[9]   A systematic review of discharge coding accuracy [J].
Campbell, SE ;
Campbell, MK ;
Grimshaw, JM ;
Walker, AE .
JOURNAL OF PUBLIC HEALTH MEDICINE, 2001, 23 (03) :205-211
[10]   Positive predictive value of ICD-9th codes for upper gastrointestinal bleeding and perforation in the Sistema Informativo Sanitario Regionale database [J].
Cattaruzzi, C ;
Troncon, MG ;
Agostinis, L ;
Rodríguez, LAG .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 1999, 52 (06) :499-502