Identifying clinical/translational research cohorts: ascertainment via querying an integrated multi-source database.
J Am Med Inform Assoc
; 20(1): 164-71, 2013 Jan 01.
Article
en En
| MEDLINE
| ID: mdl-23059733
ABSTRACT
BACKGROUND:
Ascertainment of potential subjects has been a longstanding problem in clinical research. Various methods have been proposed, including using data in electronic health records. However, these methods typically suffer from scaling effects-some methods work well for large cohorts; others work for small cohorts only.OBJECTIVE:
We propose a method that provides a simple identification of pre-research cohorts and relies on data available in most states in the USA merged public health data sources. MATERIALS ANDMETHODS:
The Utah Population Database Limited query tool allows users to build complex queries that may span several types of health records, such as cancer registries, inpatient hospital discharges, and death certificates; in addition, these can be combined with family history information. The architectural approach incorporates several coding systems for medical information. It provides a front-end graphical user interface and enables researchers to build and run queries and view aggregate results. Multiple strategies have been incorporated to maintain confidentiality.RESULTS:
This tool was rapidly adopted; since its release, 241 users representing a wide range of disciplines from 17 institutions have signed the user agreement and used the query tool. Three examples are discussed pregnancy complications co-occurring with cardiovascular disease; spondyloarthritis; and breast cancer. DISCUSSION ANDCONCLUSIONS:
This query tool was designed to provide results as pre-research so that institutional review board approval would not be required. This architecture uses well-described technologies that should be within the reach of most institutions.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Registro Médico Coordinado
/
Bases de Datos Factuales
/
Almacenamiento y Recuperación de la Información
/
Sistemas de Registros Médicos Computarizados
/
Selección de Paciente
/
Investigación Biomédica
Tipo de estudio:
Prognostic_studies
Límite:
Adolescent
/
Adult
/
Female
/
Humans
/
Pregnancy
País/Región como asunto:
America do norte
Idioma:
En
Revista:
J Am Med Inform Assoc
Asunto de la revista:
INFORMATICA MEDICA
Año:
2013
Tipo del documento:
Article
País de afiliación:
Estados Unidos