Using Administrative Data to Measure Ambulatory Mental Health Service Provision in Primary Care
Bibliographic Data
| ID | 9102173 |
|---|---|
| Authors | Leah S Steele (St Michael’s Hospital, corresponding author), Richard H Glazier (0000-0002-7952-8320, St Michael’s Hospital, corresponding author), Elizabeth Lin (0000-0002-9653-0764, Centre for Addiction and Mental Health), Michael Evans (0000-0002-6909-6579), M Blair Evans (0000-0003-0668-4928, University of Toronto, corresponding author) |
| Year | 2004 |
| Volume | 42 |
| Issue | 10 |
| Pages | 960-965 |
| Publication date | 2004-10-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/00005650-200410000-00004 |
| PMID | 15377928 |
| OpenAlex | W1986966996 |
| Language | EN |
| Citations received | 15 |
| References cited | 10 |
OBJECTIVE: We sought to determine the accuracy of administrative data for identifying mental health service provision in primary care. STUDY DESIGN: This was a chart abstraction study measuring agreement between billing data and clinical data on the binary variable "mental health visit." Data were collected from the charts and billing records of 5 academic family practice clinics in Toronto, Ontario (1999 to 2000). Billing claims (n = 952) were selected from the billings for all visits by a stratified random sampling technique. A blinded data abstractor reviewed the clinical charts and assigned diagnostic codes for each patient visit associated with the selected claims. Any visit with at least 1 abstracted mental health diagnostic code was defined as a mental health visit. The test characteristics of 4 administrative measures of mental health service provision, based on different combinations of billing codes, were calculated. RESULTS: The accuracy of the administrative data was 86.8% when compared with clinical data. The sensitivity of the 4 administrative measures ranged from 22.3% to 80.7%. The specificity ranged from 97.0% to 99.5%. CONCLUSIONS: This is the first study to establish the performance of administrative data in measuring mental health service provision in a primary care setting. In our setting, broadly defined administrative measures of mental health have excellent specificity and adequate sensitivity for exploring and understanding mental health service utilization
Business · Data collection · Family medicine · Health care · Mental health · Psychiatry · Service (business) · Statistics · Stratified sampling · Medicine · Mental Health Treatment and Access · Patient Satisfaction in Healthcare · Primary Care and Health Outcomes
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| Unique citing works | 15 |
|---|---|
| Citations per year | 0,71 |
| Citation span | 2005 - 2025 (21) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 14 |