Measuring Medication
Do Interviews Agree With Medical Record and Pharmacy Data
Bibliographic Data
| ID | 9101109 |
|---|---|
| Authors | P Todd Korthuis (0000-0001-5556-3597, VA Greater Los Angeles Healthcare System), Steven M Asch (0000-0001-5838-5335, corresponding author), Steven Asch, Martha Mancewicz, Martin F Shapiro (0000-0003-1879-5430, corresponding author), William C Mathews (0000-0002-2352-0725, University of California San Diego), William E Cunningham (0000-0002-9927-134X, corresponding author), J Allen McCutchan (0000-0001-9583-4531, University of California San Diego), Allen L Gifford (0000-0001-6442-1128, University of California San Diego), Allen Gifford, Martin L Lee (0000-0002-8421-7295, corresponding author), Samuel A Bozzette (University of California San Diego) |
| Year | 2002 |
| Volume | 40 |
| Issue | 12 |
| Pages | 1270-1282 |
| Publication date | 2002-12-01 |
| 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 | 10.1097/00005650-200212000-00014 |
| PMID | 12458308 |
| OpenAlex | W2062289141 |
| Language | EN |
| Citations received | 2 |
| References cited | 25 |
BACKGROUND: Medication measurement is crucial in assessing quality for chronic conditions yet agreement of alternate data sources remains uncertain. OBJECTIVES: To evaluate medication agreement between interviews, medical records, and pharmacy data; to assess data source contribution to attributing medication exposure; and to describe the impact of combining data sources on models that predict medication use. RESEARCH DESIGN: Prospective cohort study. SUBJECTS: Probability sample of HIV-infected participants in the HIV Cost and Services Utilization Study. MEASURES: Medications reported in 2267 interviews, 1936 medical records, and 457 pharmacy records were compared using crude agreement, kappa, and the proportion of average positive and negative agreement. The percent of medications reported in each source alone was used to assess their relative contribution to attributing exposure status. We performed weighted logistic regression in alternate data sources. RESULTS: Kappa varied from 0.38 for nucleoside reverse transcriptase inhibitors to 0.70 for protease inhibitors, when comparing drug classes in interview versus medical record, interview versus pharmacy data, and medical record versus pharmacy data. The percentage of medications reported in medical records was greater than that reported in interviews or pharmacy data. Pharmacy data contributed little to the attribution of medication exposure. Adding medication data to interview data did not appreciably change analytic models predicting medication use. CONCLUSIONS: For specific medications, agreement between alternative data sources is fair to substantial, but is lower for key drug classes. Relying on one data source may lead to misclassification of drug exposure status, but combining data sources does not change the results of analytic models predicting appropriate medication use
Cohen's kappa · Cohort · Family medicine · Kappa · Logistic regression · Medical prescription · Medical record · Pharmacoepidemiology · Statistics · Internal Medicine · Medicine · Pharmacology · Pharmacovigilance and Adverse Drug Reactions · Pharmacy · Reliability and Agreement in Measurement · Survey Methodology and Nonresponse
Quality-of-Care Assessment
Statistical Methods for Rates and Proportions
Agreement Between Questionnaire Data and Medical Records
High agreement but low kappa
Incidence of Adverse Events and Negligence in Hospitalized Patients
Variations in the Care of HIV-Infected Adults in the United States
High agreement but low Kappa
The Measurement of Observer Agreement for Categorical Data
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,11 |
| Citation span | 2007 - 2008 (2) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |