Skip to main content
Top
Published in: Drugs & Aging 1/2008

01-01-2008 | Original Research Article

Accuracy of Telephone Self-Report of Drug Use in Older People and Agreement with Pharmaceutical Claims Data

Authors: Dr Sabrina Winona Pit, Julie Ellen Byles, Jill Cockburn

Published in: Drugs & Aging | Issue 1/2008

Login to get access

Abstract

Objective

To determine the agreement between two measures of medication use, namely telephone interview self-report and pharmaceutical claims data, in an elderly population.

Methods

An agreement study of 566 community-dwelling, general practice patients aged ≥65 years was conducted to compare self-reported use of medicines with pharmaceutical claims data for different retrieval periods. Classes of drugs commonly used in the elderly were selected for comparison.

Results

1094 people were eligible for the main study. Of these, 697 people completed a follow-up survey and 625 of these patients consented to the release of pharmaceutical claims data. A further 59 participants were excluded from the analysis because they had a home visit instead of a telephone interview. The proportion of observed agreement between the telephone self-report and the various retrieval periods was consistently high. Kappa coefficients showed good to very good agreement (≥0.75) with retrieval periods of 30, 60 and 90 days for benzodiazepines, low-risk NSAIDs, thiazide diuretics and most other drugs. The specificity of self-reported medication use compared with claims data was consistently high across all drug classes, suggesting that people usually did not mention drugs that were not included in the claims data. Sensitivity values varied according to drug class and retrieval period, and were lower for NSAIDs than for benzodiazepines and thiazide diuretics. Decline in sensitivity with increased retrieval periods was most marked for benzodiazepines, NSAIDs and low-risk NSAIDs, which are often used on an as-needed basis. Positive predictive values increased with longer retrieval periods

Conclusion

High agreement and accuracy were demonstrated for self-reported use of medicines when patients were interviewed over the telephone compared with pharmaceutical claims data. The telephone inventory method can be used in future studies for accurately measuring drug use in older people when claims data are not available.
Literature
1.
go back to reference Australian Bureau of Statistics. National Health Survey 1995: use of medications. Canberra (ACT): Australian Bureau of Statistics, 1999 Australian Bureau of Statistics. National Health Survey 1995: use of medications. Canberra (ACT): Australian Bureau of Statistics, 1999
2.
go back to reference Hancock L, Walsh R, Henry DA, et al. Drug use in Australia: a community prevalence study. Med J Aust 1992; 156: 759–64PubMed Hancock L, Walsh R, Henry DA, et al. Drug use in Australia: a community prevalence study. Med J Aust 1992; 156: 759–64PubMed
3.
go back to reference Metlay JP, Hardy C, Strom BL. Agreement between patient self-report and a Veterans’ Affairs national pharmacy database for identifying recent exposures to antibiotics. Pharmacoepidemiol Drug Saf 2003; 12(1): 9–15PubMedCrossRef Metlay JP, Hardy C, Strom BL. Agreement between patient self-report and a Veterans’ Affairs national pharmacy database for identifying recent exposures to antibiotics. Pharmacoepidemiol Drug Saf 2003; 12(1): 9–15PubMedCrossRef
4.
go back to reference Bonevski B, Sanson-Fisher RW, Campbell EM, et al. Do general practice patients find computer health risk surveys acceptable? A comparison with pen and paper method. Health Promot J Austr 1997; 7(2): 100–6 Bonevski B, Sanson-Fisher RW, Campbell EM, et al. Do general practice patients find computer health risk surveys acceptable? A comparison with pen and paper method. Health Promot J Austr 1997; 7(2): 100–6
5.
go back to reference Silman A. Epidemiological studies: a practical guide. Cambridge: Cambridge University Press, 1995 Silman A. Epidemiological studies: a practical guide. Cambridge: Cambridge University Press, 1995
6.
go back to reference Bonevski BA. Increasing preventive care in general practice: an examination [doctoral dissertation]. Newcastle (NSW): University of Newcastle, 1996 Bonevski BA. Increasing preventive care in general practice: an examination [doctoral dissertation]. Newcastle (NSW): University of Newcastle, 1996
7.
go back to reference Farmer KC. Methods for measuring and monitoring medication regimen adherence in clinical trials and clinical practice. Clin Ther 1999; 21(6): 1074–90; discussion 3PubMedCrossRef Farmer KC. Methods for measuring and monitoring medication regimen adherence in clinical trials and clinical practice. Clin Ther 1999; 21(6): 1074–90; discussion 3PubMedCrossRef
8.
go back to reference Cockburn J. Variables related to antibiotic compliance in general practice patients: the application of behavioural science methodologies [doctoral dissertation]. Newcastle (NSW): University of Newcastle, 1986 Cockburn J. Variables related to antibiotic compliance in general practice patients: the application of behavioural science methodologies [doctoral dissertation]. Newcastle (NSW): University of Newcastle, 1986
9.
go back to reference Klungel OH, de Boer A, Paes AH, et al. Influence of question structure on the recall of self-reported drug use. J Clin Epidemiol 2000; 53(3): 273–7PubMedCrossRef Klungel OH, de Boer A, Paes AH, et al. Influence of question structure on the recall of self-reported drug use. J Clin Epidemiol 2000; 53(3): 273–7PubMedCrossRef
10.
go back to reference Hancock L. Drug use in the Australian community: prevalence, sociodemographic characteristics of users, and context of use [doctoral dissertation]. Newcastle (NSW): University of Newcastle, 1991 Hancock L. Drug use in the Australian community: prevalence, sociodemographic characteristics of users, and context of use [doctoral dissertation]. Newcastle (NSW): University of Newcastle, 1991
11.
go back to reference Stewart M. The validity of an interview to assess a patient’s drug taking. Am J Prev Med 1987; 3(2): 95–100PubMed Stewart M. The validity of an interview to assess a patient’s drug taking. Am J Prev Med 1987; 3(2): 95–100PubMed
12.
go back to reference Kehoe R, Wu SY, Leske MC, et al. Comparing self-reported and physician-reported medical history. Am J Epidemiol 1994; 139(8): 813–8PubMed Kehoe R, Wu SY, Leske MC, et al. Comparing self-reported and physician-reported medical history. Am J Epidemiol 1994; 139(8): 813–8PubMed
13.
go back to reference Paganini-Hill A, Ross RK. Reliability of recall of drug usage and other health-related information. Am J Epidemiol 1982; 116(1): 114–22PubMed Paganini-Hill A, Ross RK. Reliability of recall of drug usage and other health-related information. Am J Epidemiol 1982; 116(1): 114–22PubMed
14.
go back to reference Lau HS, de Boer A, Beuning KS, et al. Validation of pharmacy records in drug exposure assessment. J Clin Epidemiol 1997; 50(5): 619–25PubMedCrossRef Lau HS, de Boer A, Beuning KS, et al. Validation of pharmacy records in drug exposure assessment. J Clin Epidemiol 1997; 50(5): 619–25PubMedCrossRef
15.
go back to reference West SL, Savitz DA, Koch G, et al. Recall accuracy for prescription medications: self-report compared with database information. Am J Epidemiol 1995; 142(10): 1103–12PubMed West SL, Savitz DA, Koch G, et al. Recall accuracy for prescription medications: self-report compared with database information. Am J Epidemiol 1995; 142(10): 1103–12PubMed
16.
go back to reference Klungel OH, de Boer A, Paes AH, et al. Agreement between self-reported antihypertensive drug use and pharmacy records in a population-based study in The Netherlands. Pharm World Sci 1999; 21(5): 217–20PubMedCrossRef Klungel OH, de Boer A, Paes AH, et al. Agreement between self-reported antihypertensive drug use and pharmacy records in a population-based study in The Netherlands. Pharm World Sci 1999; 21(5): 217–20PubMedCrossRef
17.
go back to reference Sjahid SI, van der Linden PD, Stricker BH. Agreement between the pharmacy medication history and patient interview for cardiovascular drugs: the Rotterdam elderly study. Br J Clin Pharmacol 1998; 45(6): 591–5PubMedCrossRef Sjahid SI, van der Linden PD, Stricker BH. Agreement between the pharmacy medication history and patient interview for cardiovascular drugs: the Rotterdam elderly study. Br J Clin Pharmacol 1998; 45(6): 591–5PubMedCrossRef
18.
go back to reference Wang PS, Benner JS, Glynn RJ, et al. How well do patients report noncompliance with antihypertensive medications? A comparison of self-report versus filled prescriptions. Pharmacoepidemiol Drug Saf 2004; 13(1): 11–9PubMedCrossRef Wang PS, Benner JS, Glynn RJ, et al. How well do patients report noncompliance with antihypertensive medications? A comparison of self-report versus filled prescriptions. Pharmacoepidemiol Drug Saf 2004; 13(1): 11–9PubMedCrossRef
19.
go back to reference Johnson RE, Vollmer WM. Comparing sources of drug data about the elderly. J Am Geriatr Soc 1991; 39(11): 1079–84PubMed Johnson RE, Vollmer WM. Comparing sources of drug data about the elderly. J Am Geriatr Soc 1991; 39(11): 1079–84PubMed
20.
go back to reference Robertson J, Fryer JL, O’Connell DL, et al. Limitations of Health Insurance Commission (HIC) data for deriving prescribing indicators. Med J Aust 2002; 176(9): 419–24PubMed Robertson J, Fryer JL, O’Connell DL, et al. Limitations of Health Insurance Commission (HIC) data for deriving prescribing indicators. Med J Aust 2002; 176(9): 419–24PubMed
21.
go back to reference King MA, Purdie DM, Roberts MS. Matching prescription claims with medication data for nursing home residents: implications for prescriber feedback, drug utilisation studies and selection of prescription claims database. J Clin Epidemiol 2001; 54(2): 202–9PubMedCrossRef King MA, Purdie DM, Roberts MS. Matching prescription claims with medication data for nursing home residents: implications for prescriber feedback, drug utilisation studies and selection of prescription claims database. J Clin Epidemiol 2001; 54(2): 202–9PubMedCrossRef
22.
go back to reference Young AF, Dobson AJ, Byles JE. Health services research using linked records: who consents and what is the gain?. Aust N Z J Public Health 2001; 25(5): 417–20PubMed Young AF, Dobson AJ, Byles JE. Health services research using linked records: who consents and what is the gain?. Aust N Z J Public Health 2001; 25(5): 417–20PubMed
23.
go back to reference Pit S, Byles J, Henry D, et al. A Quality Use of Medicines program for general practitioners and older people: a cluster randomised controlled trial. Med J Aust 2007; 187(1): 23–30PubMed Pit S, Byles J, Henry D, et al. A Quality Use of Medicines program for general practitioners and older people: a cluster randomised controlled trial. Med J Aust 2007; 187(1): 23–30PubMed
24.
go back to reference WHO Collaborating Centre for Drug Statistics Methodology. Anatomical therapeutic chemical (ATC) classification index with defined daily doses (DDDs). Oslo: WHO Collaborating Centre for Drug Statistics Methodology, 2001 WHO Collaborating Centre for Drug Statistics Methodology. Anatomical therapeutic chemical (ATC) classification index with defined daily doses (DDDs). Oslo: WHO Collaborating Centre for Drug Statistics Methodology, 2001
25.
26.
go back to reference Robertson J, Fryer JL, O’Connell DL, et al. The impact of specialists on prescribing by general practitioners. Med J Aust 2001; 175(8): 407–11PubMed Robertson J, Fryer JL, O’Connell DL, et al. The impact of specialists on prescribing by general practitioners. Med J Aust 2001; 175(8): 407–11PubMed
27.
go back to reference Choo PW, Rand CS, Inui TS, et al. Validation of patient reports, automated pharmacy records, and pill counts with electronic monitoring of adherence to antihypertensive therapy. Med Care 1999 Sep; 37(9): 846–57PubMedCrossRef Choo PW, Rand CS, Inui TS, et al. Validation of patient reports, automated pharmacy records, and pill counts with electronic monitoring of adherence to antihypertensive therapy. Med Care 1999 Sep; 37(9): 846–57PubMedCrossRef
28.
go back to reference Smith NL, Psaty BM, Heckbert SR, et al. The reliability of medication inventory methods compared to serum levels of cardiovascular drugs in the elderly. J Clin Epidemiol 1999; 52(2): 143–6PubMedCrossRef Smith NL, Psaty BM, Heckbert SR, et al. The reliability of medication inventory methods compared to serum levels of cardiovascular drugs in the elderly. J Clin Epidemiol 1999; 52(2): 143–6PubMedCrossRef
29.
go back to reference Kable S. An application of interactive computer programs to promote adherence to clinical practice guidelines for childhood asthma in general practice [doctoral dissertation]. Newcastle (NSW): University of Newcastle, 2004 Kable S. An application of interactive computer programs to promote adherence to clinical practice guidelines for childhood asthma in general practice [doctoral dissertation]. Newcastle (NSW): University of Newcastle, 2004
30.
go back to reference Reeve JF, Peterson GM, Rumble RH, et al. Programme to improve the use of drugs in older people and involve general practitioners in community education. J Clin Pharm Ther 1999; 24(4): 289–97PubMedCrossRef Reeve JF, Peterson GM, Rumble RH, et al. Programme to improve the use of drugs in older people and involve general practitioners in community education. J Clin Pharm Ther 1999; 24(4): 289–97PubMedCrossRef
Metadata
Title
Accuracy of Telephone Self-Report of Drug Use in Older People and Agreement with Pharmaceutical Claims Data
Authors
Dr Sabrina Winona Pit
Julie Ellen Byles
Jill Cockburn
Publication date
01-01-2008
Publisher
Springer International Publishing
Published in
Drugs & Aging / Issue 1/2008
Print ISSN: 1170-229X
Electronic ISSN: 1179-1969
DOI
https://doi.org/10.2165/00002512-200825010-00008

Other articles of this Issue 1/2008

Drugs & Aging 1/2008 Go to the issue

Adis Drug Profile

Fondaparinux

Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.