Is hospital discharge administrative data an appropriate source of information for cancer registries purposes? Some insights from four Spanish registries
| Autor: | Natalia Martínez, M.ª Cres Tobalina, Yoe Ling Chang, Enrique Bernal-Delgado E, Isabel Izarzugaza, María Dolores Chirlaque, Carmen Martos, Nerea Larrañaga, Joseba Bidaurrazaga, Lauro Hernando, Carmen Martinez, María José Sánchez, Olatz Mokoroa, Joaquín A Palomar, Carmen Navarro, Miguel Rodríguez, Esther Enríquez Pérez, Mirari Márquez |
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| Přispěvatelé: | [Bernal-Delgado E, Martínez, N] Instituto de Ciencias de la Salud de Aragón, Zaragoza, Spain. [Martos, C] Registro de Cáncer de Zaragoza, Departamento de Salud, Zaragoza, Spain. [Izarzugaza, I, Larranaga, N, Mokoroa, O, Tobalina, MC., Bidaurrazaga, J] Registro de Cáncer del País Vasco, Departamento de Salud, Vitoria, Spain. [Chirlaque, MD, Marquez, M, Navarro, C] Registro de Cáncer de Murcia, Departamento de Salud Pública, Murcia, Spain. [Hernando, L, Palomar, J] Consejería de Salud, Departamento de Planificación y Economía de la Salud, Murcia, Spain. [Sánchez, MJ, Martinez, C, Rodriguez, M, Perez, E, Chang, YL] Escuela Andaluza de Salud Pública, Registro de Cáncer de Granada, Granada, Spain. [Chirlaque, MD, Navarro, C, Izarzugaza, I, Sanchez, MJ, Chang, YL] CIBERESP Consorcio de Investigación Biomédica de Epidemiología y Salud Pública, Madrid, España |
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
Male
Pathology medicine.medical_specialty Pediatrics Neoplasias de la próstata España Population MEDLINE Sensitivity and Specificity Health administration Diseases::Neoplasms::Neoplasms by Site::Urogenital Neoplasms::Genital Neoplasms Male::Prostatic Neoplasms [Medical Subject Headings] Prostate cancer Publication Characteristics::Study Characteristics::Validation Studies [Medical Subject Headings] Research article medicine Humans Registros de hospitales Registries Publication Characteristics::Study Characteristics::Case Reports [Medical Subject Headings] Medical diagnosis Diagnostic Errors education Health Care::Environment and Public Health::Public Health::Epidemiologic Methods::Data Collection::Registries [Medical Subject Headings] Geographicals::Geographic Locations::Europe::Spain [Medical Subject Headings] education.field_of_study business.industry Health Policy lcsh:Public aspects of medicine Cancer Prostatic Neoplasms Health Care::Environment and Public Health::Public Health::Epidemiologic Methods::Data Collection::Records as Topic::Medical Records::Medical Record Linkage [Medical Subject Headings] lcsh:RA1-1270 Gold standard (test) medicine.disease Hospital Records Patient Discharge Estudios de validación Spain Population Surveillance Sistema de registros Diagnosis code Forms and Records Control Medical Record Linkage Registro médico oordinado Health Care::Environment and Public Health::Public Health::Epidemiologic Methods::Data Collection::Records as Topic::Medical Records [Medical Subject Headings] business Algorithms |
| Zdroj: | BMC Health Services Research BMC Health Services Research, Vol 10, Iss 1, p 9 (2010) BMC HEALTH SERVICES RESEARCH r-FISABIO. Repositorio Institucional de Producción Científica instname BMC Health Services Research Vol. 10 pp. 9-9 RODERIC. Repositorio Institucional de la Universitat de Valéncia |
| ISSN: | 1472-6963 |
| Popis: | Background The use of hospital discharge administrative data (HDAD) has been recommended for automating, improving, even substituting, population-based cancer registries. The frequency of false positive and false negative cases recommends local validation. Methods The aim of this study was to detect newly diagnosed, false positive and false negative cases of cancer from hospital discharge claims, using four Spanish population-based cancer registries as the gold standard. Prostate cancer was used as a case study. Results A total of 2286 incident cases of prostate cancer registered in 2000 were used for validation. In the most sensitive algorithm (that using five diagnostic codes), estimates for Sensitivity ranged from 14.5% (CI95% 10.3-19.6) to 45.7% (CI95% 41.4-50.1). In the most predictive algorithm (that using five diagnostic and five surgical codes) Positive Predictive Value estimates ranged from 55.9% (CI95% 42.4-68.8) to 74.3% (CI95% 67.0-80.6). The most frequent reason for false positive cases was the number of prevalent cases inadequately considered as newly diagnosed cancers, ranging from 61.1% to 82.3% of false positive cases. The most frequent reason for false negative cases was related to the number of cases not attended in hospital settings. In this case, figures ranged from 34.4% to 69.7% of false negative cases, in the most predictive algorithm. Conclusions HDAD might be a helpful tool for cancer registries to reach their goals. The findings suggest that, for automating cancer registries, algorithms combining diagnoses and procedures are the best option. However, for cancer surveillance purposes, in those cancers like prostate cancer in which care is not only hospital-based, combining inpatient and outpatient information will be required. |
| Databáze: | OpenAIRE |
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