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The relationship between self-reported and registry-based data on use of psychoactive medications in postmenopausal women

Abstract

Background

Self-report is commonly used as a source of information on the use of medicine. The aim of this study was to investigate the relationship between self-reported and register-based information on the use of psychoactive medication, especially in respect to antidepressants, and reasons of non-reporting.

Methods

Study subjects (n = 11,031) originated from a population-based cohort of postmenopausal women born in 1932–41 from Eastern Finland who responded to a postal enquiry in 1999. Self-reported currently used prescribed medications were compared to the National prescription register data. Diuretics served as a reference for psychoactive medications.

Results

Only 44% out of 1,638 women reported their use of psychoactive medication when compared to the prescription register within a 4-month time window preceding their response to enquiry. Altogether, 55% out of 777 women reported their use of antidepressants and 29% out of 861 reported their use of other psychoactive medications. In comparison 83% reported their use of diuretics. After excluding the occasional use, an increase in sensitivity by approximately 10 percentage points was seen regardless of the group of psychoactive medication. High use and history of work disability pension due to psychiatric cause were associated with a much higher likelihood of reporting psychoactive medication use (for antidepressants 70% and 81%, respectively).

Conclusions

For research purposes, self-reported current use of psychoactive medication seems to be a sufficient indicator for regular use of antidepressants or in respect of use of any psychoactive medication, for subjects with severe psychiatric disease.

Peer Review reports

Background

Self-report is commonly used as a source for information regarding medication exposure in epidemiological studies. This type of data is dependent on memory and maybe vulnerable to recall bias, but also unwillingness to report may play a role. Thus, for valid results, accurate information or at least knowledge of the degree of misreports is needed. The validity of self-reported medication use can be assessed by comparing self-reports to other data sources such as pharmacy data or medical records. Previous studies have investigated several different groups of medications [110]. For example, Klungel et al.[10] reported that approximately 70% of all medications currently used by patients with hypertension were correctly recalled in a self-administered questionnaire. However, the validity of self-reports has been found to vary extensively according to the type of medication taken [9, 1113]. The use of psychoactive medication has been shown to be less accurately reported than other medications [9, 11, 13].

Depression is one of the leading causes of disease burden in the world and a major public health problem also among the elderly [14]. The occurrence of depression is higher in women than men and its incidence peaks again after menopause [15]. There is limited validation data focusing solely [1619] or among others [9, 1113, 2022] on the use of antidepressants or other psychoactive agents. Especially large cohort studies are rare [13, 22]. Only few studies have investigated factors affecting accuracy of self-reported use of these medications [16, 22]. Thus, more knowledge is needed regarding the extent and reasons associated with non-reporting of psychoactive medications, which could serve as a guide for future research.

The aim of the present study is to investigate among postmenopausal women from Eastern Finland, the agreement between self-reported use and registry-based data on purchased psychoactive medications, with particular reference to antidepressants. The causes for non-reports will also be investigated.

Methods

Study design and subjects

The study population (n = 11,031) for this cross-sectional population-based study was formed as follows: in 1989, a baseline postal enquiry was sent to all the 14,220 female residents born in 1932–41 of Kuopio Province, Finland (OSTPRE Study) [23, 24]. The 10-year follow-up enquiry in 1999 was sent to 12,562 women alive and with known address out of the 13,100 baseline respondents. This enquiry was returned by 11,537 women. Out of these 11,537 women, 11,031 women responded to the question determining current medication usage in 1999. The study has been approved by the ethics committee of Kuopio University Hospital. Informed consent of the study subjects was obtained by postal enquiry.

Questionnaire data

The study questionnaire included questions on marital status, residency (rural/city), height, weight, number of chronic health disorders, number of prescribed medications, use of hormone therapy (HT) (no/yes), life satisfaction (LS), physical activity (hours per week), smoking (no/yes) and consumption of beer, wine and distilled alcoholic beverages. The total use of alcohol was computed as grams (12 g/drink) per month and categorized (none/<360 g/≥360 g). Body mass index (BMI) was calculated as weight (kg)/height (m) squared and categorized (<25/25-29/≥30 kg/m2). LS was measured with a 4-item scale (range 4–20) [2529]. It was used as a 3-category variable: 4–6 (satisfied), 7–11 (intermediate) and 12–20 (dissatisfied) based on the standard deviation of the mean [27]. Education (4-category) was asked on a subsample (n = 3,222) who underwent bone densitometry. All these factors were tested as covariates in multivariate analyses.

Participants were asked current medication usage: “Are you at the moment under medication prescribed by a doctor? Specify the names of the medications.” The reported medications were coded according to the Anatomical Therapeutic Chemical (ATC) code [30]. The ATC-categories investigated in the present study were: any psychoactive medications (N05, N06), antidepressants (N06A, N06CA) (with or without using other psychoactive medications) and other psychoactive medications (N05, N06B, N06CB, N06D) (without using antidepressants). In addition, “sole use of antidepressants” was also investigated. Purchasing of anti-dementia drugs (ATC: N06D) or psychostimulants/nootropics (N06B) during 2000–2005 according to National prescription register was used as memory variable (no/yes). Diuretics (C03), which are an independent, usual and regularly used medication group, were chosen to serve as a reference for psychoactive medications. Diuretics were used as follows: 1) any use (in tables), 2) together with psychoactive medication and 3) without psychoactive medication.

Register data

The study questionnaire data was linked with the National prescription register and the National Register for Work Disability Pensions by personal identification codes. The prescription register from the Social Insurance Institution of Finland (KELA) contains data regarding all reimbursed prescription medicines purchased in any pharmacy in Finland. It does not include information on 1) medication use in hospitals or community nursing homes, where medicines are included in the services; 2) medications which are not reimbursable such as small packages costing under a fixed deductible share (i.e. 8.41 € in 1999) unless being a specially refunded medicine due to the selected chronic diseases including psychosis [31]. The defined daily doses (DDD) for medical products have been obtained from the Finnish Medicines Agency (FIMEA).

History of work disability pension up to the year 1996 (no/due to somatic cause/due to psychiatric cause) and medications purchased from a pharmacy within four or within 12 months before response to the enquiry in 1999 as DDD tertiles were used in the analysis. In Finland, only 3 months’ refunded medication can be purchased from pharmacy at a time. Thus, a 4-month time window preceding the date of response to enquiry was chosen for prescription register data to ensure that a person would purchase a medication at least once (if used continuously) [19]. In order to explore the agreement of self-report, also a 12-month time window preceding the enquiry and a 4-month time window after the enquiry were applied. For loss analysis, the index date for women who did not return the questionnaire was the date the questionnaire was sent.

Statistical analyses

Statistical analyses were performed using the SPSS statistical package 17.0 for Windows (SPSS Inc., Chicago, IL, USA). Differences between study groups were examined with the Chi-squared test and the t-test for independent groups, or, in the case of variables not following a normal distribution, the non-parametric Mann–Whitney U-test. Agreement between the self-reported use and the National prescription register data as the golden standard were analyzed with sensitivity (i.e. recall rate or accuracy), specificity and Kappa-values (overall agreement).

To study factors affecting agreement of self-report and register data, logistic regression models were used. Only those women who according to the prescription register had purchased antidepressants or psychoactive medications were selected. Self-report (no/yes) was the outcome measure (i.e. dependent variable). Multivariate analysis was used to assess the independent effect of certain personal and health-related factors. Covariates were chosen into models if they were significantly associated with outcome. In the multivariate model 1, age, marital status, BMI, alcohol consumption and LS were covariates. In model 2, additional covariates included history of work disability pension up to the year 1996 and number of self-reported prescribed medications as well as amount of purchased psychoactive medications from the prescription register.

Results

Characteristics

According to the prescription register, 1,638 (14.8%) of the 11,031 participants, had purchased psychoactive medications during the four months preceding the self-report. A total of 777 (7.0%) women had purchased antidepressants with or without other psychoactive medications, while 861 (7.8%) had purchased other psychoactive medications than antidepressants. Out of the 777 antidepressant users, 393 (3.6%) were “sole antidepressant users”, while 384 women also used other psychoactive medications. Among these 384 women, antipsychotics were used by 123 women, anxiolytics by 198 women and hypnotics or sedatives by 184 women. In the entire group of users of other psychoactive medications (n = 861), antipsychotics were used by 147 women, anxiolytics by 315 and hypnotics or sedatives by 513 women. Users of psychoactive medications based on prescription register differed from non-users for all the study variables (Table 1). Users had more diseases and were less satisfied with their lives, while non-users were better off in terms of smoking and BMI, but not in terms of alcohol use. Of the entire study population, 22.7% had a history of work disability pension, this proportion being highest among users of antidepressants (43.2%).

Table 1 Characteristics of study population (n = 11,031) by use of medication based on the National prescription register

Sensitivity between self-reported and prescription register data

Self-reported use of medication was compared to the prescription register data within a 4-month time window preceding the response to enquiry (Tables 2 and 3). The sensitivity of self-reports was 44.2% for all psychoactive medication. It was higher for use of antidepressants (54.8%) than for use of other psychoactive medications (29.0%). For sole antidepressants users, the proportion was 50.1%. Altogether, 66 women reported use of antidepressants and 152 women reported use of any psychoactive medication, though they had not purchased the medication within the 4-month time window preceding the self-report (Table 2). For the preceding 12 months prior to the self-report, these figures were 12 and 40 persons, respectively.

Table 2 Comparison of self-reports and the National prescription register data for psychoactive medication and diuretics
Table 3 Sensitivity (%) of self-reported psychoactive medication use by characteristics of study subjects compared to the National prescription register data during the four months preceding the self-report

Self-reported use of diuretics covered a much higher percentage (83.2%) of the register-based data than use of psychoactive medication. Users of psychoactive medication also reported their use of diuretics less accurately (76.0%) than non-users (85.1%) (P = 0.001).

The sensitivity in use of psychoactive medication between the two data sources was better when only regular use was considered by taking into account medication purchased within four months both before and after the enquiry: the proportion of those reporting their use of medication was, thus, 55% for all psychoactive medications and 65% for antidepressants.

The exclusion of the low use tertile (i.e. occasional/irregular use) and the widening of the register data time window improved the sensitivity between self-report and register data. Thus, the sensitivity of self-reported regular use of antidepressants was 71.3%, if the medication purchase precondition was four months before and after the response to enquiry. The proportion of false positive self-reports decreased from 13.4 to 2.5%, if the time window was widened from 4 to 12 months before the response to enquiry.

Sensitivity and specificity of self-reports were 0.44 and 0.98 respectively, for psychoactive medication and 0.83 and 0.98 respectively for diuretics (Table 2). Kappa-values were 0.53 for all psychoactive medication, 0.65 for antidepressants, 0.30 for other psychoactive medications and 0.82 for diuretics (all P < 0.001). Sensitivity of self-reported psychoactive medication increased markedly according to the amount of use (Table 3).

Factors affecting sensitivity of self-report

The amount of purchased psychoactive medications (DDDs/four months), history of work disability pension due to psychiatric cause and the number of any self-reported prescribed medications as well as being unmarried were strongly associated with higher sensitivity between self-reported and register-based data regardless of type of medication (Table 3). Among users of any psychoactive medication also life dissatisfaction and higher BMI were associated with better sensitivity.

In multivariate models, greater alcohol consumption was associated with lower sensitivity for use of antidepressants (odds ratios, ORmodel1 = 0.39, P = 0.045 and ORmodel2 = 0.34, P = 0.043) (Table 4). In respect to marital status, those who are single had higher sensitivity than others (Tables 4 and 5). Higher number of any self-reported prescribed medication, higher use of antidepressants or any psychoactive medication according to prescription register and work disability pension due to psychiatric cause (model 2) were all associated independently with higher sensitivity, while work disability pension due to somatic cause was associated with lower sensitivity.

Table 4 Factors related to the sensitivity of self-reported use of antidepressants compared to register-based data (n = 777) by logistic models
Table 5 Factors related to the sensitivity of self-reported use of any psychoactive medication compared to register-based data (n = 1,638) by logistic models

Among women using any psychoactive medication (n = 1,638) (Table 5), improved sensitivity between self-report and register-based data was associated with younger age (all models), but not with residence or physical activity nor was it related to education in the sample of 3,222 women, or to registry-based data on subsequent use of medication for dementia. However, only 92 women out of the entire study population had purchased anti-dementia medication in 2000–2005. Obesity was associated with better sensitivity in the use of any psychoactive medication (model 1), but the inclusion of the number of self-reported prescribed medications and history of work disability variables into the model totally abolished this association (Table 5).

Also among women with register-based sole antidepressants use (n = 393), a greater number of any prescribed medication (OR = 1.33, P < 0.001), amount of purchased antidepressants (ORmoderate use = 2.89, P < 0.001 and ORhigh use = 3.57, P < 0.001) and history of work disability due to psychiatric cause (OR = 4.04, P = 0.002) remained correlates of self-report in the multivariate model 2 (Cf. Table 4).

Loss analysis

According to the prescription register, the 1,025 women who did not return the questionnaire, purchased (during the four months preceding the follow-up enquiry in 1999) more often than the responders who reported any psychoactive medication (23.3 vs. 14.8%, P < 0.001), antidepressants (9.3 vs. 7.0%, P = 0.010) or other psychoactive medications (14.0 vs. 7.8%, P < 0.001). The corresponding proportions, for the 506 women who returned the questionnaire but did not answer the medication question were similar with those of the responders (15.2, 6.3 and 8.9%, respectively). Correction of non-response to the enquiry or the medication question increased the population estimate for use of any psychoactive medication from 14.8 to 15.5%, use of antidepressants from 7.0 to 7.2% and use of other psychoactive medication from 7.8 to 8.4%.

Discussion

Postmenopausal women are at increased risk of depression. This study investigated agreement between self-reported use of psychoactive medication and the National prescription register data and possible related factors among postmenopausal women. The sensitivity of self-report was 44% for any psychoactive medication and 55% for antidepressants, while it was over 80% for diuretics. However, higher use and history of work disability pension due to psychiatric cause increased sensitivity strongly.

Methodological differences such as selected golden standard, interview vs. enquiry method or structure and wording of questions might be reasons for the differences in the results between studies. Other Finnish studies have previously found high overall agreement (ad 0.87) for antidepressants [18, 19] and antipsychotics [18, 19, 22] with the same golden standard as in this study. This agreement difference might be due to longer purchase time window [18, 22], younger population [18, 22] or the interview vs. enquiry method and prescriptions brought to the interview [18, 19]. A large study by Nielsen et al.[13] with home interview but pharmacy records as a reference, found self-report sensitivity of antidepressant use (56%) similar to ours. Also Boudreau et al. [9] found lower sensitivity for antidepressants (44-66%) when using interview with specific medication questions. However, higher sensitivities for self-report of antidepressants and psychoactive medication (70-89%) have generally been obtained with different methodologies; such as medical records [12] or physician-reported data as golden standard [16], when asked “never/ever” use [16] or a direct question on medication use [17, 21] or when prescriptions were brought to the interview [18]. On the other hand, Nielsen et al.[13] also found low sensitivity for psycholeptics (38%) and especially for hypnotics and sedatives (27%). Thus, the low sensitivity in our study (29%) for the group of other psychoactive medication might be due to the high proportion of users of hypnotics and sedatives in our study sample. Similar to our study, moderate overall agreement (>0.50) for psycholeptics [13] (vs. psychoactive medication) and even better for antidepressants reporting [12, 13, 16, 17, 22] has been shown by others.

In the present study, users of psychoactive medication showed lower sensitivity for diuretics than non-users, but they reported the use of diuretics better than the use of psychoactive medication. Also in previous studies, the use of psychoactive medication has been less accurately reported than other medications [9, 11, 13]. Interestingly, however, a lower sensitivity in respect to psychoactive medication in this study was linearly related to less severe psychiatric problems (i.e. no work disability pension due to psychiatric cause) and lower use of psychoactive medication. One explanation may simply be that psychoactive medicines such as hypnotics are not used as regularly as diuretics. One might just not feel that occasional use is important enough to be mentioned in a questionnaire or the medicine may not be used at the moment or at all after purchase. Lin et al.[32] found that 28% of patients discontinued their antidepressant medication during the first month of therapy and 44% by the third month of therapy. Longer and regular use may increase recall or reduce self-perceived shame or unwillingness to report the use [10, 11, 16, 33].

In Finland the use of antidepressants doubled between 1999–2009 [34], which might decrease the unwillingness to report use of medication. However, our study subjects increased less their use of antidepressants between 1999–2009 and the sensitivity of self-report of antidepressants in 2009 was similar to that in 1999 (data not shown). It seems that regular use of antidepressants and/or long-term severe mental illness (as indicated by work disability pension) are the most important correlates of sufficient self-report.

In general, several factors may affect the agreement between self-reports and register-based data. Obesity has been previously positively associated with agreement when self-reports have been compared to medical records [12], but higher BMI is associated also with depression [35]. Thus, after including the amount of antidepressants or psychoactive medication (model 2), the significance of BMI in respect to sensitivity disappeared. Lower income [5, 16] and education level [3, 5, 10, 22] have been associated with poorer agreement, but Sjahid et al.[6] found no differences according to educational or socio-economic status. Homogeneity of our cohort may have played a role in some of the factors. In our female sample, only a small number of women had a higher education, which may have contributed to the non-significance of education. Older age has [11, 36] or has not [6] been associated with decreased validity of self-reports, while narrow age window in our study (57–68 years) might explain the found minimal age effect. In this study, being single was associated with the highest sensitivity in reporting psychoactive medication use, while in another Finnish cohort born in 1966 [22] the same was true for the married subjects. Lastly, even if Van den Brandt et al.[11] study suggested a decrease in recall along with increasing number of prescribed medications, in our study higher number of any prescribed medication currently in use was associated with better sensitivity. Stability of disease status indicated by history of work disability pension and amount of psychoactive medication in our study seemed to be more important positive determinants of agreement than putative (negative) effects of mental disease or its medication.

The strengths of this study include a large population-based cohort, high response rate and utilization of the National prescription register, which has a coverage of 97% and ability to detect also slight (i.e. irregular) use [31]. The narrow age range increased the homogeneity of the sample, but provides data on important period around retirement. Lastly, our results apply to postmenopausal women, a risk group for depression, and a base for future growing elderly population. Our method of asking current use of any prescribed medications may give lower agreement when compared to the results obtained by never-ever -type questions. Since the prescription register as a reference indicates only the medication purchased and not the actual use, it possesses a possibility to non-agreement, but this inaccuracy was minimized by checking also purchase of medication after enquiry.

Conclusions

Less than half of the women reported their use of any psychoactive medication and just over half their use of antidepressants compared to register-based data on purchased medication. The sensitivity of self-report increased considerably with higher use, with a history of work disability pension due to psychiatric cause or when occasional use was excluded. In conclusion, for research purposes, self-reported current medication use seems in general to be a sufficient indicator of regular use of antidepressants or in respect of use of any psychoactive medication, for those with severe psychiatric disease. However, prescription register data is more reliable for those using these medications irregularly and with less severe mental disorders.

Ethical standards

This study was approved by the ethics committee of Kuopio University Hospital, Finland.

Abbreviations

ATC:

Anatomical-Therapeutic-Chemical

BMI:

Body mass index

CI:

Confidence interval

DDD:

Defined daily doses

HT:

Hormone therapy

LS:

Life satisfaction

OR:

Odds ratio

OSTPRE:

Kuopio Osteoporosis Risk Factor and Prevention Study

SD:

Standard deviation.

References

  1. Jain MG, Rohan TE, Howe GR: Agreement of self-reported use of menopausal hormone replacement therapy with physician reports. Epidemiology. 1999, 10 (3): 260-263. 10.1097/00001648-199905000-00012.

    Article  CAS  PubMed  Google Scholar 

  2. Banks E, Beral V, Cameron R, Hogg A, Langley N, Barnes I, Bull D, Elliman J, Harris CL: Agreement between general practice prescription data and self-reported use of hormone replacement therapy and treatment for various illnesses. J Epidemiol Biostat. 2001, 6 (4): 357-363. 10.1080/13595220152601837.

    Article  CAS  PubMed  Google Scholar 

  3. Sandini L, Pentti K, Tuppurainen M, Kröger H, Honkanen R: Agreement of self-reported estrogen use with prescription data: an analysis of women from the Kuopio Osteoporosis Risk Factor and Prevention Study (OSTPRE). Menopause. 2008, 15 (2): 282-289. 10.1097/gme.0b013e3181334b6c.

    Article  PubMed  Google Scholar 

  4. Norell SE, Boethius G, Persson I: Oral contraceptive use: interview data versus pharmacy records. Int J Epidemiol. 1998, 27 (6): 1033-1037. 10.1093/ije/27.6.1033.

    Article  CAS  PubMed  Google Scholar 

  5. Curtis JR, Westfall AO, Allison J, Freeman A, Kovac SH, Saag KG: Agreement and validity of pharmacy data versus self-report for use of osteoporosis medications among chronic glucocorticoid users. Pharmacoepidemiol Drug Saf. 2006, 15 (10): 710-718. 10.1002/pds.1226.

    Article  PubMed  Google Scholar 

  6. 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): 591-595. 10.1046/j.1365-2125.1998.00716.x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Smith NL, Psaty BM, Heckbert SR, Tracy RP, Cornell ES: The reliability of medication inventory methods compared to serum levels of cardiovascular drugs in the elderly. J Clin Epidemiol. 1999, 52 (2): 143-146. 10.1016/S0895-4356(98)00141-3.

    Article  CAS  PubMed  Google Scholar 

  8. Klungel OH, de Boer A, Paes AH, Herings RM, Seidell JC, Bakker A: Agreement between self-reported antihypertensive drug use and pharmacy records in a population-based study in the Netherlands. Pharm World Sci. 1999, 21 (5): 217-220. 10.1023/A:1008741321384.

    Article  CAS  PubMed  Google Scholar 

  9. Boudreau DM, Daling JR, Malone KE, Gardner JS, Blough DK, Heckbert SR: A validation study of patient interview data and pharmacy records for antihypertensive, statin and antidepressant medication use among older women. Am J Epidemiol. 2004, 159 (3): 308-317. 10.1093/aje/kwh038.

    Article  PubMed  Google Scholar 

  10. Klungel OH, de Boer A, Paes AHP, Herings RMC, Seidell JC, Bakker A: Influence of question structure on the recall of self-reported drug use. J Clin Epidemiol. 2000, 53 (3): 273-277. 10.1016/S0895-4356(99)00167-5.

    Article  CAS  PubMed  Google Scholar 

  11. Van den Brandt PA, Petri H, Dorant E, Goldbohm RA, Van de Crommert S: Comparison of questionnaire information and pharmacy data on drug use. Pharm Weekbl Sci. 1991, 13 (2): 91-96. 10.1007/BF01974987.

    CAS  PubMed  Google Scholar 

  12. Tisnado DM, Adams JL, Liu H, Damberg CL, Chen W-P, Hu FA, Carlisle DM, Mangione CM, Kahn KL: What is the concordance between the medical record and patient self-report as data sources for ambulatory care?. Med Care. 2006, 44 (2): 132-140. 10.1097/01.mlr.0000196952.15921.bf.

    Article  PubMed  Google Scholar 

  13. Nielsen MW, Søndergaard B, Kjøller M, Hansen EH: Agreement between self-reported data on medicine use and prescription records vary according to method of analysis and therapeutic group. J Clin Epidemiol. 2008, 61 (9): 919-924. 10.1016/j.jclinepi.2007.10.021.

    Article  PubMed  Google Scholar 

  14. World Health Organization: The Global Burden of Disease: 2004 Update. 2008, Geneva, Switzerland: WHO Press

    Google Scholar 

  15. Eaton WW, Anthony JC, Gallo J, Cai G, Tien A, Romanoski A, Lyketsos C, Chen LS: Natural history of Diagnostic Interview Schedule/DSM-IV major depression. The Baltimore Epidemiologic Catchment Area follow-up. Arch Gen Psychiatry. 1997, 54 (11): 993-999. 10.1001/archpsyc.1997.01830230023003.

    Article  CAS  PubMed  Google Scholar 

  16. Cotterchio M, Kreiger N, Darlington G, Steingart A: Comparison of self-reported and physician-reported antidepressant medication use. Ann Epidemiol. 1999, 9 (5): 283-289. 10.1016/S1047-2797(98)00072-6.

    Article  CAS  PubMed  Google Scholar 

  17. Kwon A, Bungay KM, Pei Y, Rogers WH, Wilson IB, Zhou Q, Adler DA: Antidepressant use: concordance between self-report and claims records. Med Care. 2003, 41 (3): 368-374.

    PubMed  Google Scholar 

  18. Haukka J, Suvisaari J, Tuulio-Henriksson A, Lönnqvist J: High concordance between self-reported medication and official prescription database information. Eur J Clin Pharmacol. 2007, 63 (11): 1069-1074. 10.1007/s00228-007-0349-6.

    Article  PubMed  Google Scholar 

  19. Rikala M, Hartikainen S, Sulkava R, Korhonen MJ: Validity of the Finnish Prescription Register for measuring psychotropic drug exposures among elderly finns: a population-based intervention study. Drugs Aging. 2010, 27 (4): 337-349. 10.2165/11315960-000000000-00000.

    Article  PubMed  Google Scholar 

  20. Gilchrist WJ, Lee YC, Tam HC, Macdonald JB, Williams BO: Prospective study of drug reporting by general practitioners for an elderly population referred to a geriatric service. Br Med J (Clin Res Ed). 1987, 294 (6567): 289-290. 10.1136/bmj.294.6567.289.

    Article  CAS  Google Scholar 

  21. Pit SW, Byles JE, Cockburn J: Accuracy of telephone self-report of drug use in older people and agreement with pharmaceutical claims data. Drugs Aging. 2008, 25 (1): 71-80. 10.2165/00002512-200825010-00008.

    Article  PubMed  Google Scholar 

  22. Haapea M, Miettunen J, Lindeman S, Joukamaa M, Koponen H: Agreement between self-reported and pharmacy data on medication use in the Northern Finland 1966 Birth Cohort. Int J Methods Psychiatr Res. 2010, 19 (2): 88-96.

    PubMed  Google Scholar 

  23. Tuppurainen M, Honkanen R, Kröger H, Saarikoski S, Alhava E: Osteoporosis risk factors, gynaecological history and fractures in perimenopausal women – The results of the baseline postal enquiry of the Kuopio Osteoporosis Risk Factor and Prevention Study. Maturitas. 1993, 17 (2): 89-100. 10.1016/0378-5122(93)90004-2.

    Article  CAS  PubMed  Google Scholar 

  24. Saarelainen J, Kiviniemi V, Kröger H, Tuppurainen M, Niskanen L, Jurvelin J, Honkanen R: Body mass index and bone loss among postmenopausal women: the 10-year follow-up of the OSTPRE cohort. J Bone Miner Metab. 2012, 30 (2): 208-216. 10.1007/s00774-011-0305-5.

    Article  PubMed  Google Scholar 

  25. Koivumaa-Honkanen H, Honkanen R, Viinamäki H, Heikkilä K, Kaprio J, Koskenvuo M: Self-reported life satisfaction and 20-year mortality in healthy Finish adults. Am J Epidemiol. 2000, 152 (10): 983-991. 10.1093/aje/152.10.983.

    Article  CAS  PubMed  Google Scholar 

  26. Koivumaa-Honkanen H, Honkanen R, Viinamäki H, Heikkilä K, Kaprio J, Koskenvuo M: Life satisfaction and suicide, a 20-year follow-up study. Am J Psychiatry. 2001, 158 (3): 433-439. 10.1176/appi.ajp.158.3.433.

    Article  CAS  PubMed  Google Scholar 

  27. Koivumaa-Honkanen H, Kaprio J, Honkanen R, Viinamäki H, Koskenvuo M: Life satisfaction and depression in a 15-year follow-up of healthy adults. Soc Psychiatry Psychiatr Epidemiol. 2004, 39 (12): 994-999. 10.1007/s00127-004-0833-6.

    Article  PubMed  Google Scholar 

  28. Rissanen T, Viinamäki H, Honkalampi K, Lehto SM, Hintikka J, Saharinen T, Koivumaa-Honkanen H: Long term life dissatisfaction and subsequent major depressive disorder and poor mental health. BMC Psychiatry. 2011, 23 (11): 140-146.

    Article  Google Scholar 

  29. Paunio T, Korhonen T, Hublin C: Longitudinal study on poor sleep and life dissatisfaction in a nationwide cohort of twins. Am J Epidemiol. 2009, 169 (2): 206-213.

    Article  PubMed  Google Scholar 

  30. World Health Organization: Guidelines for ATC classification and DDD assignment 2010. WHO Collaborating Centre for Drug Statistics Methodology. 2009, Oslo: World Health Organization

    Google Scholar 

  31. Peura S, Rajaniemi S, Kurkijärvi U: Pharmaceutical Pricing and Reimbursement Information Project: Finland 2007. 2007, http://whocc.goeg.at/Literaturliste/Dokumente/CountryInformationReports/Finland_PPRI_2007.pdf,

    Google Scholar 

  32. Lin EH, Von Korff M, Katon W, Bush T, Simon GE, Walker E, Robinson P: The role of the primary care physician in patients’ adherence to antidepressant therapy. Med Care. 1995, 33 (1): 67-74. 10.1097/00005650-199501000-00006.

    Article  CAS  PubMed  Google Scholar 

  33. Goldman LS, Nielsen NH, Champion HC: Awareness, diagnosis and treatment of depression. J Gen Intern Med. 1999, 14: 569-580. 10.1046/j.1525-1497.1999.03478.x.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Finnish Medicines Agency Fimea and Social Insurance Institution: Finnish statistics on medicines 2010. 2011, Helsinki: Edita Prima Oy

    Google Scholar 

  35. Luppino FS, de Wit LM, Bouvy PF, Stijnen T, Cuijpers P, Penninx BWJH, Zitman FG: Overweight, obesity and depression. A systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry. 2010, 67 (3): 220-229. 10.1001/archgenpsychiatry.2010.2.

    Article  PubMed  Google Scholar 

  36. West SL, Savitz DA, Koch G, Strom BL, Guess HA, Hartzema A: Recall accuracy for prescription medications: Self-report compared with database information. Am J Epidemiol. 1995, 142 (10): 1103-1112.

    CAS  PubMed  Google Scholar 

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Acknowledgements

Research has been supported by the strategic of the University of Eastern Finland, by an EVO grant of Lapland Hospital District (to HK-H, PR and RH) and by Academy of Finland (grants 115969 and 250707; to HK). The authors thank Finnish Medicines Agency (FIMEA) and Social Insurance Institution of Finland (KELA). We would also like to thank Prof. Riitta Ahonen for initial ideas, Dr. Lana Williams for linguistic check and Ms. Seija Oinonen and MSc Kimmo Ronkainen for technical help.

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Correspondence to Päivi H Rauma.

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All authors declare that they have no conflicts of interest.

Authors’ contributions

PR, HK-H and RH designed the study. PR conducted data analysis, data interpretation, and the writing of the manuscript. HK-H, RH and JK were responsible for the data and contributed to data interpretation. RH, MT and HK were responsible for the original OSTPRE study design. All the authors contributed to the revision of the manuscript and approved the final version.

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Rauma, P.H., Koivumaa-Honkanen, H., Kröger, H. et al. The relationship between self-reported and registry-based data on use of psychoactive medications in postmenopausal women. BMC Psychiatry 13, 180 (2013). https://doi.org/10.1186/1471-244X-13-180

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