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Comparison of Administrative Data and Medical Records to Measure the Quality of Medical Care Provided to Vulnerable Older Patients

Datos Bibliográficos

ID9103511
AutoresCatherine H MacLean (0000-0003-2581-189X, RAND Corporation, autor de correspondencia), Rachel Louie (RAND Corporation), Paul G Shekelle (VA Greater Los Angeles Healthcare System, autor de correspondencia), Carol P Roth (VA Greater Los Angeles Healthcare System, autor de correspondencia), Debra Saliba (0000-0001-5177-6616, RAND Corporation, autor de correspondencia), Takahiro Higashi (0000-0002-9933-2106, RAND Corporation), John Adams (0000-0002-2727-615X, VA Greater Los Angeles Healthcare System, autor de correspondencia), John T Chang (0009-0003-5419-0225, VA Greater Los Angeles Healthcare System, autor de correspondencia), CAREN J KAMBERG, Caren Kamberg, David H Solomon (0000-0001-8765-7045, RAND Corporation), Roy T Young (RAND Corporation), Neil Wenger (0000-0002-9884-3967, RAND Corporation), Neil S Wenger
Año2006
Volumen44
Número2
Páginas141-148
Fecha de publicación2006-02-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaMedical Care (JOURNAL)
Identificadores de la revistaISSN: 0025-7079 • E-ISSN: 1537-1948
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/01.mlr.0000196960.12860.de
PMID16434913
OpenAlexW2091273618
IdiomaEN
Citas recibidas5
Referencias citadas21

BACKGROUND: Administrative data are used to determine performance for publicly reported in health plan "report cards," accreditation status, and reimbursement. However, it is unclear how performance based on administrative data and medical records compare. METHODS: We compared applicability, eligibility, and performance on 182 measures of health care quality using medical records and administrative data during a 13-month period for a random sample of 399 vulnerable older patients enrolled in managed care. RESULTS: Of 182 quality indicators (QIs) spanning 22 conditions, 145 (80%) were applicable only to medical records and 37 (20%) to either medical records or administrative data. Among 48 QIs specific to geriatric conditions, all were applicable to medical records; 2 of these also were applicable to administrative data. Eligibility for the 37 QIs that were applicable to both medical records and administrative data was similar for both data sources (94% agreement, kappa = 0.74). With the use of medical records, 152 of the 182 the QIs that were applicable to medical records were triggered and yielded an overall performance of 55%. Using administrative data, 30 of the 37 QIs that were applicable to administrative data were triggered and yielded overall performance of 83% (P < 0.05 vs. medical records). Restricting to QIs applicable to both data sources, overall performance was 84% and 83% (P = 0.21) for medical records and administrative data, respectively. CONCLUSIONS: The number and spectrum of QIs that can be measured for vulnerable elderly patients is far greater for medical records than for administrative data. Although summary estimates of health care quality derived from administrative data and medical records do not differ when using identical measures, summary scores from these data sources vary substantially when the totality of care that can be measured by each data source is measured

Data mining · Family medicine · Measure (data warehouse) · Medical care · Medical emergency · Medical record · MEDLINE · Political science · Quality (philosophy) · Computer Science · Frailty in Older Adults · Medicine · Patient Satisfaction in Healthcare · Primary Care and Health Outcomes

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Obras citantes distintas5
Citas por año0,26
Intervalo de citas2007 - 2020 (14)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 4
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