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International Journal of Methods in Psychiatric Research logoLink to International Journal of Methods in Psychiatric Research
. 2010 Mar 7;19(2):88–96. doi: 10.1002/mpr.304

Agreement between self‐reported and pharmacy data on medication use in the Northern Finland 1966 Birth Cohort

Marianne Haapea 1,2,, Jouko Miettunen 1,3, Sari Lindeman 1, Matti Joukamaa 4, Hannu Koponen 5,6
PMCID: PMC6878330  PMID: 20209650

Abstract

Objective: To compare self‐reported (SR) medication use and pharmacy data for major psychoactive medications and three classes of medications used for different indications, and to determine the socio‐economic factors associated with the congruence.

Methods: Postal questionnaire data collected in 1997 were compared with the register of the Social Insurance Institution of Finland on the reimbursed prescriptions purchased during 1997. Altogether 7625 subjects were included in this study. Drugs were categorized according to the Anatomical Therapeutic Chemical (ATC) system.

Results: Kappa values were 0.77, 0.68, 0.84, 0.92 and 0.55 for antipsychotics, antidepressants, antiepileptics, antidiabetics and beta‐blocking agents, respectively. Prevalence‐adjusted and bias‐adjusted kappa values were almost perfect (0.98–1.00). Reliability of antipsychotics use was better for married subjects than for those who were not married; and of antidepressants use for highly educated and married subjects than for those who were less educated and were not married. Altogether 414 (5.4%) responders and 285 (7.1%) non‐responders had used at least one of the selected medications.

Conclusion: Agreement between the SR and pharmacy data was moderate for psychoactive medication use. Even though data collected by postal questionnaire may underestimate the prevalence of medication use due to non‐participation it can be assumed accurate enough for study purposes. Copyright © 2010 John Wiley & Sons, Ltd.

Keywords: agreement, pharmacy data, questionnaire, register, reliability, self‐report

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REFERENCES

  1. Abramson J.H. (2004) WINPEPI (PEPI‐for‐Windows): Computer programs for epidemiologists. Epidemiologic Perspectives & Innovations, 1, 6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Boudreau D.M., Daling J.R., Malone K.E., Gardner J.S., Blough D.K., Heckbert S.R. (2004) A validation study of patient interview data and pharmacy records for antihypertensive, statin and antidepressant medication use among older women. American Journal of Epidemiology, 159, 308–317, DOI: 10.1093/aje/kwh048. [DOI] [PubMed] [Google Scholar]
  3. Brown D.W., Anda R.F., Felitti V.J. (2007) Self‐reported information and pharmacy claims were comparable for lipid‐lowering medication exposure. Journal of Clinical Epidemiology, 60, 525–529, DOI: 10.1016/j.jclinepi.2006.08.007. [DOI] [PubMed] [Google Scholar]
  4. Byrt T., Bishop J., Carlin J.B. (1993) Bias, prevalence and kappa. Journal of Clinical Epidemiology, 46, 423–429, DOI: 10.1016/0895‐4356(93)90018‐V. [DOI] [PubMed] [Google Scholar]
  5. Caskie G.I., Willis S.L. (2004) Congruence of self‐reported medications with pharmacy prescription records in low‐income older adults. Gerontologist, 44, 176–185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Caskie G.I., Willis S.L., Schaie K.W., Zanjani F.A. (2006) Congruence of medication information from a brown bag data collection and pharmacy records: findings from the Seattle longitudinal study. Experimental Aging Research, 32, 79–103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Cicchetti D.V., Feinstein A.R. (1990) High agreement but low kappa: II. Resolving the paradoxes. Journal of Clinical Epidemiology, 43, 551–558, DOI: 10.1016/0895‐4356(90)90159‐M. [DOI] [PubMed] [Google Scholar]
  8. Cohen J. (1960) A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20, 37–46. [Google Scholar]
  9. Cotterchio M., Kreiger N., Darlington G., Steingart A. (1999) Comparison of self‐reported and physician‐reported antidepressant medication use. Annals of Epidemiology, 9, 283–289, DOI: 10.1016/S1047‐1797(98)00072‐6. [DOI] [PubMed] [Google Scholar]
  10. Curtis J.R., Westfall A.O., Allison J., Freeman A., Kovac S.H., Saag K.G. (2006) Agreement and validity of pharmacy data versus self‐report for use of osteoporosis medications among chronic glucocorticoid users. Pharmacoepidemiology and Drug Safety, 15, 710–718, DOI: 10.1002/pds.1226. [DOI] [PubMed] [Google Scholar]
  11. Fleiss J.L. (1981) Statistical Methods for Rates and Proportions, the Measurement of Interrater Agreement, second edition, pp. 212–236, John Wiley & Sons. [Google Scholar]
  12. Garber M.C., Nau D.P., Erickson S.R., Aikens J.E., Lawrence J.B. (2004) The concordance of self‐report with other measures of medication adherence: A summary of literature. Medical Care, 42, 649–652, DOI: 10.1097/01.mlr.0000129496.05898.02. [DOI] [PubMed] [Google Scholar]
  13. Glintborg B., Hillestrom P.R., Olsen L.H., Dalhoff K.P., Poulsen H.E. (2007) Are patients reliable when self‐reporting medication use? Validation of structured drug interviews and home visits by drug analysis and prescription data in acutely hospitalized patients. Journal of Clinical Pharmacology, 47, 1440–1449, DOI: 10.1177/0091270007307243. [DOI] [PubMed] [Google Scholar]
  14. Guénette L., Moisan J., Préville M., Boyer R. (2005) Measures of adherence based on self‐report exhibited poor agreement with those based on pharmacy records. Journal of Clinical Epidemiology, 58, 924–933, DOI: 10.1016/j.jclinepi.2005.02.002. [DOI] [PubMed] [Google Scholar]
  15. Guidelines for ATC classification . (1990) WHO Collaborating Centre for Drug Statistics Methodology – Nordic Council on Medicines, Oslo.
  16. Haapea M., Miettunen J., Läärä E., Joukamaa M., Järvelin M.‐R., Isohanni M., Veijola J. (2008) Non‐participation in a field survey with respect to psychiatric disorders. Scandinavian Journal of Public Health, 36, 728–736, DOI: 10.1177/1403494808092250. [DOI] [PubMed] [Google Scholar]
  17. Haapea M., Miettunen J., Veijola J., Lauronen E., Tanskanen P., Isohanni M. (2007) Non‐participation may bias the results of a psychiatric survey: An analysis from the survey including magnetic resonance imaging within the Northern Finland 1966 Birth Cohort. Social Psychiatry and Psychiatric Epidemiology, 42, 403–409, DOI: 10.1007/s00127‐007‐0178‐z. [DOI] [PubMed] [Google Scholar]
  18. Haukka J., Suvisaari J., Tuulio‐Henriksson A., Lönnqvist J. (2007) High concordance between self‐reported medication and official prescription database information. European Journal of Clinical Pharmacology, 63, 1069–1074, DOI: 10.1007/s00228‐007‐0349‐6. [DOI] [PubMed] [Google Scholar]
  19. Klungel O.H., De Boer A., Paes A.H., Herings R.M., Seidell J.C., Bakker A. (1999) Agreement between self‐reported antihypertensive drug use and pharmacy records in a population‐based study in the Netherlands. Pharmacy World and Science, 21, 217–220, DOI: 10.1023/A:1008741321384. [DOI] [PubMed] [Google Scholar]
  20. Klungel O.H., De Boer A., Paes A.H., Herings R.M., Seidell J.C., Bakker A. (2000) Influence of question structure on the recall of self‐reported drug use. Journal of Clinical Epidemiology, 53, 273–277, DOI: 10.1016/S0895‐4356(99)00167‐5. [DOI] [PubMed] [Google Scholar]
  21. Kwon A., Bungay K.M., Pei Y., Rogers W.H., Wilson I.B., Zhou Q., Adler D.A. (2003) Antidepressant use: Concordance between self‐report and claims records. Medical Care, 41, 368–374. [DOI] [PubMed] [Google Scholar]
  22. Landis J.R., Koch G.G. (1997) The measurement of observer agreement for categorical data. Biometrics, 33, 159–147. [PubMed] [Google Scholar]
  23. Lau H.S., de Boer A., Beuning K.S., Porsius A. (1997) Validation of pharmacy records in drug exposure assessment. Journal of Clinical Epidemiology, 50, 619–625, DOI: 10.1016/S0895‐4356(97)00040‐1. [DOI] [PubMed] [Google Scholar]
  24. Lundberg I., Damström Thakker K., Hällström T., Forsell Y. (2005) Determinants of non‐participation, and the effects of non‐participation on potential cause‐effect relationships, in the PART study on mental disorders. Social Psychiatry and Psychiatric Epidemiology, 40, 475–483, DOI: 10.1007/s00127‐005‐0911‐4. [DOI] [PubMed] [Google Scholar]
  25. Monster T.B., Janssen W.M., de Jong P.E., De Jong‐van den Berg L.T., PREVEND Study Group Prevention of REnal and Vascular ENT Stage Disease . (2002) Pharmacy data in epidemiological studies: An easy to obtain and reliable tool. Pharmacoepidemiology and Drug Safety, 11, 379–384, DOI: 10.1002/pds.722. [DOI] [PubMed] [Google Scholar]
  26. Nielsen M.W., Søndergaard B., Kjøller M., Hansen E.H. (2008) Agreement between self‐reported data on medicine use and prescription records vary according to method of analysis and therapeutic group. Journal of Clinical Epidemiology, 61, 919–924, DOI: 10.1016/j.jclinepi.2007.10.021. [DOI] [PubMed] [Google Scholar]
  27. Rantakallio P. (1969) Groups at risk in low birth weight infants and perinatal mortality. Acta Paediatrica Scandinavica, 193(Supplement), 1–71. [PubMed] [Google Scholar]
  28. Skurtveit S., Selmer R., Tverdal A., Furu K. (2008) The validity of self‐reported prescription medication use among adolescents varied by therapeutic class. Journal of Clinical Epidemiology, 61, 714–717, DOI: 10.1016/j.jclinepi.2007.11.013. [DOI] [PubMed] [Google Scholar]
  29. van den Brandt P.A., Petri H., Dorant E., Goldbohm R.A., Van De Crommert S. (1991) Comparison of questionnaire information and pharmacy data on drug use. Pharmaceutisch weekblad (Scientific edition), 13, 91–96. [DOI] [PubMed] [Google Scholar]
  30. West S.L., Savitz D.A., Koch G., Strom B.L., Guess H.A., Hartzema A. (1995) Recall accuracy for prescription medications: Self‐report compared with database information. American Journal of Epidemiology, 142, 1103–1112. [DOI] [PubMed] [Google Scholar]

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