Antidepressant Self-Discontinuation: Results From the Collaborative Psychiatric Epidemiology Surveys
Abstract
Objective:
The goal of this study was to examine the extent and correlates of self-discontinuation of antidepressant medications without physician advice.
Methods:
Among 1,411 participants of the nationally representative Collaborative Psychiatric Epidemiology Surveys who reported using antidepressants in the past year, sociodemographic and clinical correlates of self-discontinuation of medication without physician advice or approval were examined, along with participants’ reasons for discontinuation.
Results:
A total of 313 (22%) antidepressant users in the preceding year reported discontinuing their antidepressant medication without physician advice or approval. Older individuals had reduced odds of self-discontinuing antidepressants. Participants with an anxiety or substance use disorder and those prescribed an antidepressant by a provider other than a psychiatrist had higher odds of self-discontinuation. Participants with public insurance had lower odds of self-discontinuation than those with private insurance. The two most commonly reported reasons for self-discontinuation of antidepressants were side effects and experiencing no benefit from the medication.
Conclusions:
Physicians prescribing antidepressants need to clearly communicate the expected benefits of treatment, the minimum duration of use required to experience benefits, and the potential side effects of these medications, particularly to younger patients, those with anxiety disorders, and patients treated in general medical settings, all of whom have increased odds of self-discontinuation.
Extensive research evidence supports antidepressant efficacy in treating depression and anxiety disorders (1–5). Nevertheless, antidepressant treatments in the community commonly fall short of evidence-based guidelines (6). Many patients use antidepressants inconsistently or stop them prematurely (7). Practice guidelines for treatment of mood and anxiety disorders generally recommend continuing antidepressant treatment for several months after the symptoms have resolved. In the STAR*D (Sequenced Treatment Alternatives to Relieve Depression) trial comparing antidepressant treatments for patients with major depression, half of patients who remitted did so after six weeks of treatment (8). Yet in one study, over 40% of patients in a representative community sample stopped medication within 30 days of initiation (7).
Knowing who is at greater risk of stopping antidepressants and the reasons they stop would benefit prescribing clinicians and provide guidance for interventions aimed at improving continuation of treatment. Past research has identified a number of sociodemographic and clinical factors associated with stopping antidepressants (7–17) but has mainly focused on clinical samples (13,16,17) or used pharmacy or other administrative data (9,15,18). Past research rarely examined self-reported reasons for stopping antidepressants in conjunction with clinical information in a representative population sample. This study aimed to address this deficiency by examining self-discontinuation of antidepressants in a large and representative population sample of U.S. adults.
Specifically, we compared sociodemographic (sex, age, race-ethnicity, education, income, and insurance status) and clinical (diagnosis, impairment, antidepressant medication class, and prescriber) characteristics of antidepressant users who discontinued medication with those who did not and assessed the self-reported reasons for self-discontinuation. In further analyses, we explored the characteristics associated with specific reasons for self-discontinuation.
Methods
Sample
Data were drawn from the Collaborative Psychiatric Epidemiology Survey (CPES), which included 20,013 U.S. adults participating in three similar surveys of the U.S. population between 2001 and 2003 (19). The component surveys included the National Comorbidity Survey–Replication (NCS-R) (20), the National Survey of American Life (NSAL) (21), and the National Latino and Asian American Study (NLAAS) (22). The NCS-R recruited noninstitutionalized English-speaking civilians in the U.S. general population. The response rate for primary respondents was 70.9% (19). The NSAL and NLAAS focused on specific racial-ethnic groups. The NSAL focused on black Americans and had a total response rate of 71.5%; the NLAAS focused on Latinos and Asian Americans, with an overall response rate of 74.7% (19). All three surveys interviewed adults 18 years old and older who were living in households in the coterminous United States. The surveys used very similar sampling and ascertainment methods. Detailed information regarding the CPES is provided elsewhere (23). The sample was further limited to 1,411 (9%) participants who reported taking one or more antidepressants at some point during the preceding year.
Measures
Antidepressant use.
Participants were asked to indicate which medications they had taken in the past year if they endorsed receiving any prescription for “emotions, nerves, mental health, substance use, energy, concentration, sleep, or ability to cope with stress.” Up to 20 different medications were recorded. Analyses were limited to the first three the participant cited because other relevant variables, including stopping medication and prescriber type, were ascertained only for the first three medications. Most antidepressant mentions (98%) were captured by participants’ first three mentions.
Participants were asked whether they were still taking each of the first three medications they listed. If participants discontinued their medication, they were asked whether a health professional either instructed or approved the discontinuation and whether they stopped because they felt so much better that the medication was no longer needed or for another reason. Those reporting continuing to take medication or stopping because of professional directive or approval or because the medication was no longer needed were coded as non–self-discontinuers. Those who reported stopping medication for any other reason were coded as self-discontinuers.
Participants who self-discontinued were asked about the reasons for stopping. Options included the medicine not helping, thinking the problem would resolve without medication, considering the medication costs unaffordable, being too embarrassed to continue medication, wanting to solve the problem without medication, experiencing side effects, fearing dependence on the medication, feeling pressure from someone to stop, or other reasons not specified. Participants could endorse multiple reasons.
Antidepressants were categorized as selective serotonin reuptake inhibitors (SSRIs), selective norepinephrine reuptake inhibitors, tricyclic antidepressants (TCAs), and other antidepressants. Participants were asked whether a psychiatrist, a general or family doctor, or another doctor or health professional prescribed the medication. Individual antidepressant medications included are described elsewhere (24). In addition to clinically relevant factors, such as antidepressant class and diagnosis, covariates were chosen on the basis of associations with antidepressant use from past research (7–17).
Diagnosis and impairment.
Twelve-month diagnoses were based on DSM-IV criteria (25) and were ascertained with the Composite International Diagnostic Interview (CIDI) (26). Diagnoses for this study included anxiety disorders (generalized anxiety disorder, posttraumatic stress disorder, social phobia, panic disorder, or agoraphobia without panic disorder), mood disorders (bipolar I or II disorders, dysthymia, or major depressive disorder), and substance use disorders (alcohol or drug abuse or dependence). Impairment associated with mental health problems was assessed for participants reporting symptoms of depression, generalized anxiety disorders, panic disorder, agoraphobia, and social phobia. Respondents were asked how much the problem interfered with work, social life, or personal relationships. Responses were recorded with a Likert scale that ranged from 1, “not at all,” to 5, “extremely.” For individuals reporting interference due to two or more sets of symptoms, we used the highest level of interference reported.
Sociodemographic characteristics.
Statistical Analysis
Analyses were conducted in two stages. First, we examined the prevalence of self-discontinuation of antidepressants among participants who reported using these medications in the past year. We also conducted unadjusted and adjusted binary logistic regression analyses to examine the sociodemographic and clinical correlates of stopping antidepressants. Next, we examined the proportion of participants who reported specific reasons for stopping antidepressants among those who used and self-discontinued these medications.
In further analyses, we explored the correlates of self-discontinuation according to the reasons given. Separate binary logistic regression analyses were conducted for each specific reason or group of reasons if the number of participants reporting specific reasons was too few. These further analyses were exploratory because of small sample sizes and multiple testing.
All analyses were conducted with version 12.1 of Stata statistical software (27). CPES survey weights, clustering, and stratification were included in analyses to account for multistage sampling and nonresponse and to ensure representativeness of the survey sample. All percentages reported were weighted by the CPES sampling weights. We used p<.05 as a threshold for determining statistical significance.
Results
Antidepressant Self-Discontinuation
Of the 1,411 CPES participants who reported taking one or more antidepressants at some point during the preceding year, 1,098 (79% weighted) reported either continuing to take the medication (76%) or stopping because of professional directive or approval (13%) or because the medication was no longer needed (6%; percentages do not add to 79% because some participants took multiple antidepressants). A total of 313 (21% weighted) reported stopping medication for other reasons and constituted the sample of antidepressant self-discontinuers for this study. Self-discontinuers had 334 antidepressant discontinuation episodes in total (some of the 313 participants who reported stopping antidepressants reported stopping more than one antidepressant in the past year).
Seventy-five (23%) of the 334 antidepressant treatment episodes lasted two weeks or less, 151 (46%) lasted more than two weeks but less than six months, and 102 (31%) lasted more than six months (data not shown). Data on duration of treatment for six medication episodes were missing. Because follow-up questions regarding reasons for discontinuation were asked about each medication, the analyses focused on antidepressant treatment episodes.
Sociodemographic and Clinical Correlates of Self-Discontinuation
In logistic regression analyses, younger age was associated with greater odds of self-discontinuation, with a gradient along the age spectrum, where persons ages 18–30 had the highest odds of self-discontinuation. Any anxiety or substance use disorder diagnosis was associated with higher odds of self-discontinuation (Table 1); however, there was no association between level of impairment and self-discontinuation. The specialty of the prescriber was also a significant correlate of self-discontinuation. In adjusted analyses, participants prescribed antidepressants by a primary care or other prescriber who was not a psychiatrist had higher odds of self-discontinuation compared with participants who were prescribed antidepressants by psychiatrists. In addition, participants with public insurance—Medicaid, Medicare, military benefit, or state-based programs—had significantly lower odds of self-discontinuation than those with private insurance, whether it was employer sponsored, individually purchased, or a Medicare supplement.
| Total sample | Self-discontinued | Did not self-discontinue | Unadjusted | Adjusted | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Characteristic | N | % | N | % | N | % | OR | 95% CI | p | AOR | 95% CI | p |
| Sex | ||||||||||||
| Female (reference) | 1,049 | 71 | 247 | 72 | 802 | 70 | ||||||
| Male | 362 | 29 | 66 | 28 | 296 | 30 | .90 | .69–1.18 | .458 | .86 | .6–1.22 | .711 |
| Age (years)a | ||||||||||||
| 18–30 | 228 | 16 | 77 | 28 | 151 | 13 | 8.11 | 4.39–15.00 | <.001 | 3.09 | 1.37–6.96 | .007 |
| 31–40 | 295 | 18 | 81 | 21 | 214 | 18 | 4.59 | 2.30–9.16 | <.001 | 2.35 | .99–5.56 | .052 |
| 41–50 | 378 | 26 | 92 | 28 | 286 | 26 | 4.20 | 2.24–7.89 | <.001 | 2.46 | .93–6.46 | .069 |
| 51–64 | 338 | 26 | 48 | 18 | 290 | 28 | 2.55 | 1.44–4.52 | .002 | 1.42 | .59–3.42 | .432 |
| ≥65 (reference) | 172 | 13 | 15 | 4 | 157 | 16 | ||||||
| Race-ethnicity | ||||||||||||
| White (reference) | 803 | 84 | 160 | 81 | 643 | 85 | ||||||
| Black | 226 | 5 | 49 | 5 | 177 | 5 | 1.03 | .69–1.55 | .887 | 1.43 | .82–2.49 | .206 |
| Latino | 249 | 7 | 56 | 9 | 193 | 6 | 1.37 | .85–2.21 | .188 | 1.69 | .92–3.12 | .093 |
| Other | 133 | 4 | 48 | 6 | 85 | 4 | 1.59 | .89–2.86 | .118 | .76 | .22–2.68 | .672 |
| Education (years) | ||||||||||||
| 0–11 (reference) | 281 | 16 | 66 | 15 | 215 | 16 | ||||||
| 12 | 399 | 31 | 88 | 33 | 311 | 31 | 1.13 | .71–1.79 | .604 | 1.38 | .80–2.40 | .244 |
| 13–15 | 425 | 31 | 98 | 32 | 327 | 30 | 1.13 | .72–1.80 | .588 | 1.00 | .61–1.64 | .990 |
| ≥16 | 306 | 23 | 61 | 20 | 245 | 23 | .90 | .57–1.42 | .655 | 1.13 | .55–2.32 | .729 |
| Income ($) | ||||||||||||
| ≤15,000 (reference) | 325 | 18 | 66 | 15 | 259 | 18 | ||||||
| 15,001–50,000 | 483 | 33 | 113 | 36 | 370 | 32 | 1.41 | .86–2.33 | .173 | 1.03 | .58–1.85 | .913 |
| 50,001–100,000 | 336 | 27 | 74 | 26 | 262 | 27 | 1.19 | .63–2.24 | .595 | .83 | .39–1.77 | .621 |
| >100,000 | 168 | 23 | 36 | 23 | 132 | 23 | 1.21 | .66–2.19 | .538 | .92 | .40–2.10 | .845 |
| Insurance | ||||||||||||
| Private (reference) | 652 | 61 | 154 | 77 | 498 | 58 | ||||||
| Public | 477 | 34 | 69 | 19 | 408 | 37 | .38 | .23–.64 | <.001 | .44 | .22–.87 | .019 |
| Other | 60 | 5 | 13 | 4 | 47 | 5 | .59 | .31–1.15 | .121 | .47 | .20–1.10 | .081 |
| Diagnosisa | ||||||||||||
| No mood, anxiety, or substance use disorder | 711 | 53 | 152 | 49 | 559 | 54 | .82 | .62–1.07 | .141 | 1.83 | .64–5.21 | .258 |
| Mood disorder | 402 | 28 | 84 | 26 | 318 | 29 | .86 | .61–1.21 | .394 | .73 | .38–1.40 | .339 |
| Anxiety disorder | 512 | 34 | 131 | 42 | 381 | 32 | 1.53 | 1.17–2.00 | .002 | 2.58 | 1.12–5.96 | .026 |
| Substance use disorder | 75 | 6 | 25 | 10 | 50 | 5 | 2.24 | 1.31–3.83 | .003 | 2.84 | 1.44–5.61 | .003 |
| Impairment | ||||||||||||
| Not at all (reference) | 356 | 24 | 81 | 20 | 275 | 25 | ||||||
| A little | 136 | 9 | 31 | 8 | 105 | 9 | 1.04 | .53–2.03 | .911 | 1.07 | .46–2.49 | .874 |
| Some | 214 | 17 | 45 | 20 | 169 | 16 | 1.59 | .90–2.81 | .113 | 1.30 | .69–2.46 | .414 |
| A lot | 382 | 27 | 90 | 30 | 292 | 26 | 1.44 | .94–2.20 | .093 | 1.47 | .80–2.72 | .216 |
| Extremely | 323 | 23 | 66 | 23 | 257 | 24 | 1.20 | .69–2.08 | .511 | .90 | .47–1.70 | .741 |
| Prescriberb | ||||||||||||
| Psychiatrist (reference) | 397 | 25 | 62 | 19 | 335 | 26 | ||||||
| Primary care physician | 769 | 60 | 174 | 63 | 595 | 59 | 1.47 | .96–2.26 | .079 | 2.26 | 1.23–4.14 | .009 |
| Other | 198 | 15 | 50 | 18 | 148 | 14 | 1.68 | 1.04–2.71 | .033 | 2.82 | 1.49–5.34 | .002 |
| Medication groupc | ||||||||||||
| SSRI | 923 | 66.7 | 220 | 70.7 | 703 | 65.6 | 1.26 | .87–1.84 | .222 | 1.74 | .92–3.27 | .086 |
| SNRI | 99 | 7.5 | 19 | 5.9 | 80 | 7.9 | .74 | .40–1.36 | .327 | .57 | .29–1.10 | .091 |
| TCA | 201 | 12.8 | 41 | 9.8 | 160 | 13.6 | .69 | .45–1.05 | .083 | 1.06 | .47–2.37 | .887 |
| Other | 354 | 25.5 | 76 | 28.7 | 278 | 24.7 | 1.23 | .85–1.79 | .278 | 1.70 | .93–3.11 | .083 |
a
Each diagnostic category was compared with all other diagnostic categories. Percentages add to more than 100% because some participants met criteria for more than one diagnosis.
b
Percentages add to more than 100% because multiple providers prescribed some participants antidepressants in the past year. The reference group (prescribed by psychiatrists) included those who received any antidepressant prescription from a psychiatrist whether or not they received prescriptions from other providers.
c
Each medication group was compared with all other medication groups. Percentages add to more than 100% because some participants used more than one medication type in the past year. SSRI, selective serotonin reuptake inhibitor; SNRI, selective norepinephrine reuptake inhibitor; TCA, tricyclic antidepressant
Reasons for Self-Discontinuation
Participants reported stopping antidepressants for various reasons (Figure 1). The two most commonly reported reasons for discontinuing individual antidepressants were side effects (20%) and the medication not helping (21%). A relatively high number of self-discontinuations resulted because participants wanted to resolve their mental health problems without medication or expected such resolution. A smaller proportion stopped because the medication was unaffordable or for other attitudinal reasons, such as embarrassment or pressure from others. Almost a quarter of self-discontinued antidepressants were stopped for other unspecified reasons.
Figure 1. Reasons for self-discontinuation of 334 antidepressant medication treatment episodes among participants in the 2001–2003 Collaborative Psychiatric Epidemiology Surveys who reported past-year antidepressant usea
a Vertical lines represent 95% confidence intervals.
In further analyses, age, race-ethnicity, education, diagnosis, the type of prescriber, and medication class were each related to stopping antidepressants for specific reasons. [A table in the online supplement provides details.] Compared with participants 18–30 years old, those 31–40 years old had lower odds of stopping antidepressants because they found medication not helpful (odds ratio [OR]=.33, 95% confidence interval [CI]=.14–.83, p=.019), whereas participants age 51 and older had lower odds of reporting attitudinal reasons for self-discontinuation (OR=.10, CI=.01–.91, p=.041). The latter analysis, however, was based on very small sample sizes, in that only one person over age 50 reported attitudinal reasons for discontinuation.
Compared with whites, Latinos had higher odds of reporting side effects (OR=2.19, CI=1.12–4.33, p=.025) and more than threefold higher odds of reporting attitudinal reasons for discontinuation (OR=3.33, CI=1.07–10.33, p=.038).
Compared with participants who had attained up to 11 years of education, those with 12 years of education (OR=.45, CI=.20–.99, p=.049) and those with ≥16 years (OR=.40, CI=.17–.95, p=.039) had reduced odds of reporting that they discontinued their medication because it was not helping. In addition, compared with participants with up to 11 years of education, those with 12 years of education had lower odds of reporting attitudinal reasons for discontinuation (OR=.06, CI=.01–.46, p=.007). Again, the analyses of attitudinal reasons were based on very small samples.
Discussion
Self-discontinuation of antidepressant medications is common. A sizable proportion of this community sample reported discontinuing antidepressants on their own in a one-year period. Research on antidepressant treatment quality for depression and anxiety disorders in community settings repeatedly finds brief duration, especially for patients treated in primary care settings (6,7,28). Premature self-discontinuation of antidepressants is a major barrier to achieving the full benefit of medication treatment and is associated with increased risk of relapse and incomplete response (1,29–31).
This study also found that antidepressant self-discontinuation was more common with younger age. This finding is consistent with other research suggesting a greater prevalence of long-term use among older adults compared with younger adults (32); however, the reasons for the age difference in discontinuation rates remain unclear. Side effects and finding medication unhelpful were the most common reported reasons for stopping antidepressants in all age groups [table in online supplement ]. Future research should explore other reasons for the age gradient in antidepressant self-discontinuation.
The relatively high prevalence of self-discontinuation associated with anxiety disorders is consistent with past research (12,33). Discontinuation in this population may be attributable to negative attitudes toward antidepressant medication use, such as embarrassment or outside pressure [table in online supplement ]. Discontinuation may also reflect the activating side effects associated with some antidepressants, which may be associated with heightened anxiety or agitation (34), although analyses did not reveal differences among diagnostic groups for participants who responded that side effects were a reason for discontinuation. Alternatively, this relationship may suggest less severe symptoms or impairment in common anxiety disorders compared with other common mental illnesses, such as mood disorders. Discontinuation patterns may also signify the episodic and context-dependent nature of symptoms in anxiety disorders. It is noteworthy, however, that individuals without any mood, anxiety, or substance use disorders did not have higher odds of discontinuation.
Lesser severity and impairment associated with the target psychiatric conditions may partly explain greater prevalence of discontinuation in general medical settings where patients typically have a shorter duration of treatment (24,33). Preferences and attitudes of patients regarding treatment might also lead patients to differentially select providers. Alternatively, differences in practice styles of primary care providers and psychiatrists, such as differences in communication style and content of communications, have been shown to affect treatment adherence patterns (35). Providers who are not psychiatrists also tend to have less comprehensive knowledge of successful antidepressant treatment strategies. To differentiate contributing factors, more detailed assessments of illness severity, expectations of patients, and practice styles of providers are needed.
The finding of no association between medication type and self-discontinuation is noteworthy. Fewer side effects of newer antidepressants, such as SSRIs, are often noted as a “practice innovation” (36), leading to greater acceptability of newer medications by patients and providers. This study did not find that TCAs were more likely to be self-discontinued compared with other medication groups, nor were TCAs more likely to be discontinued due to side effects. This trend may reflect changing patterns of antidepressant use, such as declining use of TCAs between the 1990s and 2000s (37). Individuals who remain on these medications likely include a larger proportion of long-term users who tolerated these medications well, without significant adverse effects. Thus cohort differences may have obscured differences in discontinuation rates among medication groups.
There were few consistent associations between participants’ clinical and sociodemographic characteristics and their stopping medications for specific reasons, although these analyses were limited by small sample sizes and multiple testing. What was not observed with regard to reasons for self-discontinuation of medications is perhaps more noteworthy than the few striking differences across medication groups, diagnoses, and prescribers.
The most commonly reported reasons for self-discontinuing antidepressants included side effects, perceptions that the medication was not helpful, and a desire or expectation that the mental health problem should resolve without pharmaceutical intervention. Fears of dependence on medication may also influence decisions to stop antidepressants prematurely (38). Providing patients with realistic information regarding the expected side effects, benefits of treatment, and the minimum recommended length of treatment may help them adjust their expectations and reduce the risk of premature self-discontinuation. Moreover, cultural sensitivity when treating Latinos may address some of the unique social pressures that might affect Latinos’ concerns and attitudes about antidepressants. Indeed, quality improvement interventions involving counseling patients and regular follow-ups have had promising results with regard to continuity of treatment in primary care settings (39).
The results of this study should be considered in the context of its limitations. First, data were collected over ten years ago. Mental health care in the United States has changed in important ways since then. There were several policy developments in this period with potential impact on treatment of mental disorders, including the passage of the Mental Health Parity and Addiction Equity Act of 2008 and the Affordable Care Act of 2010. There have also been significant changes in prescribing practices for antidepressants, including an overall increase in antidepressant prescriptions, especially in primary care, mainly because patients are using these medications for longer periods (37,40). The impact of these policy initiatives and trends on self-discontinuation of antidepressants must be examined in future research.
Second, the survey did not assess duration of antidepressant use before discontinuation. Individuals in the early phases of treatment may be at greater risk of discontinuation than those in later phases. The risk factors for discontinuation may also vary according to treatment phase. Longitudinal data could identify treatment phase and correlates of discontinuation at different phases. These data would also be useful for identifying individuals who stop an antidepressant medication and restart the same or another medication at a later time.
Third, response rates varied somewhat among the component surveys of CPES, but overall response rates were relatively high (19), and the survey weights adjusted for nonresponse. Fourth, both medication use and reasons for discontinuation were self-reported, which could be affected by recall bias; however, self-reports of antidepressant medication use have demonstrated acceptable concordance with pharmacy records and other administrative data (41–48). In most (41,42,44,46) but not all studies (43,47), the specificity of self-report against the gold standard of pharmacy or other administrative data were much higher (typically >.90) than the sensitivity of such reports, suggesting few false-positive self-reports of medication use. Nonetheless, data regarding the validity of self-reported reasons for stopping medications are lacking.
Fifth, analyses of reasons for discontinuation are limited by multiple testing, which could result in spurious statistically significant findings. These findings need to be corroborated in future studies. Sixth, the sample size for assessing racial-ethnic variations in discontinuation was limited. In view of the past research on racial-ethnic disparities in psychiatric medication use, the findings from this study should be viewed cautiously. Finally, the clinical and functional outcomes associated with medication discontinuation were not examined.
Conclusions
In the context of these limitations, the data presented allowed for a general overview of the extent, correlates, and reasons for antidepressant medication self-discontinuation in the U.S. general population. Although randomized controlled trials provide persuasive evidence supporting the efficacy of antidepressants in selected clinical populations, translating efficacy of treatments in randomized trials to real-world effectiveness requires a better understanding of provider and patient factors that determine treatment patterns.
There is growing evidence that more positive attitudes toward medications, as well as improved physician-patient communications regarding the appropriate management and expected benefits of treatment would improve adherence with antidepressant treatment, particularly in primary care settings, where a majority of antidepressants are prescribed (40,49). With the implementation of the Affordable Care Act, the role of primary care in management of mental health conditions is expected to grow. This growth highlights the need for improved quality of diagnosis and treatment of mental disorders, including improved adherence with antidepressant and other psychiatric medications.
Supplementary Material
File (appi.ps.201400021.ds001.pdf)
- View/Download
- 30.61 KB
References
1.
Trivedi MH, Rush AJ, Wisniewski SR, et al: Evaluation of outcomes with citalopram for depression using measurement-based care in STAR*D: implications for clinical practice. American Journal of Psychiatry 163:28–40, 2006
2.
Arroll B, Macgillivray S, Ogston S, et al: Efficacy and tolerability of tricyclic antidepressants and SSRIs compared with placebo for treatment of depression in primary care: a meta-analysis. Annals of Family Medicine 3:449–456, 2005
3.
van der Linden GJ, Stein DJ, van Balkom AJ: The efficacy of the selective serotonin reuptake inhibitors for social anxiety disorder (social phobia): a meta-analysis of randomized controlled trials. International Clinical Psychopharmacology 15(suppl 2):S15–S23, 2000
4.
Cipriani A, Furukawa TA, Salanti G, et al: Comparative efficacy and acceptability of 12 new-generation antidepressants: a multiple-treatments meta-analysis. Lancet 373:746–758, 2009
5.
Clum GA, Clum GA, Surls R: A meta-analysis of treatments for panic disorder. Journal of Consulting and Clinical Psychology 61:317–326, 1993
6.
Young AS, Klap R, Sherbourne CD, et al: The quality of care for depressive and anxiety disorders in the United States. Archives of General Psychiatry 58:55–61, 2001
7.
Olfson M, Marcus SC, Tedeschi M, et al: Continuity of antidepressant treatment for adults with depression in the United States. American Journal of Psychiatry 163:101–108, 2006
8.
Rush AJ: STAR*D: what have we learned? American Journal of Psychiatry 164:201–204, 2007
9.
Serna MC, Cruz I, Real J, et al: Duration and adherence of antidepressant treatment (2003 to 2007) based on prescription database. European Psychiatry 25:206–213, 2010
10.
Wu CH, Erickson SR, Piette JD, et al: The association of race, comorbid anxiety, and antidepressant adherence among Medicaid enrollees with major depressive disorder. Research in Social and Administrative Pharmacy 8:193–205, 2012
11.
Rivero-Santana A, Perestelo-Perez L, Perez-Ramos J, et al: Sociodemographic and clinical predictors of compliance with antidepressants for depressive disorders: systematic review of observational studies. Journal of Patient Preference and Adherence 7:151–169, 2013
12.
Samples H, Mojtabai R: Antidepressant use in the European Union: perceived indications and patterns. Psychiatric Services 64:208, 2013
13.
Montgomery SA, Henry J, McDonald G, et al: Selective serotonin reuptake inhibitors: meta-analysis of discontinuation rates. International Clinical Psychopharmacology 9:47–53, 1994
14.
Hunot VM, Horne R, Leese MN, et al: A cohort study of adherence to antidepressants in primary care: the influence of antidepressant concerns and treatment preferences. Primary Care Companion to the Journal of Clinical Psychiatry 9:91–99, 2007
15.
Milea D, Guelfucci F, Bent-Ennakhil N, et al: Antidepressant monotherapy: a claims database analysis of treatment changes and treatment duration. Clinical Therapeutics 32:2057–2072, 2010
16.
Tanno S, Ohhira M, Tsuchiya Y, et al: Frequent early discontinuation of SSRI prescribed by primary care physicians in young males in Japan. Internal Medicine 48:1263–1266, 2009
17.
Trifirò G, Tillati S, Spina E, et al: A nationwide prospective study on prescribing pattern of antidepressant drugs in Italian primary care. European Journal of Clinical Pharmacology 69:227–236, 2013
18.
Hansen RA, Dusetzina SB, Dominik RC, et al: Prescription refill records as a screening tool to identify antidepressant non-adherence. Pharmacoepidemiology and Drug Safety 19:33–37, 2010
19.
Heeringa SG, Wagner J, Torres M, et al: Sample designs and sampling methods for the Collaborative Psychiatric Epidemiology Studies (CPES). International Journal of Methods in Psychiatric Research 13:221–240, 2004
20.
Kessler RC, Merikangas KR: The National Comorbidity Survey Replication (NCS-R): background and aims. International Journal of Methods in Psychiatric Research 13:60–68, 2004
21.
Jackson JS, Torres M, Caldwell CH, et al: The National Survey of American Life: a study of racial, ethnic and cultural influences on mental disorders and mental health. International Journal of Methods in Psychiatric Research 13:196–207, 2004
22.
Alegria M, Takeuchi D, Canino G, et al: Considering context, place and culture: the National Latino and Asian American Study. International Journal of Methods in Psychiatric Research 13:208–220, 2004
23.
Pennell BE, Bowers A, Carr D, et al: The development and implementation of the National Comorbidity Survey Replication, the National Survey of American Life, and the National Latino and Asian American Survey. International Journal of Methods in Psychiatric Research 13:241–269, 2004
24.
Mojtabai R, Olfson M: National patterns in antidepressant treatment by psychiatrists and general medical providers: results from the National Comorbidity Survey Replication. Journal of Clinical Psychiatry 69:1064–1074, 2008
25.
Diagnostic and Statistical Manual of Mental Disorders, 4th ed. Washington, DC, American Psychiatric Association, 1994
26.
Wittchen HU: Reliability and validity studies of the WHO—Composite International Diagnostic Interview (CIDI): a critical review. Journal of Psychiatric Research 28:57–84, 1994
27.
Stata Statistical Software: Release 12. College Station, Tex, Stata Corp, 2011
28.
Katon W, von Korff M, Lin E, et al: Adequacy and duration of antidepressant treatment in primary care. Medical Care 30:67–76, 1992
29.
Altshuler L, Suppes T, Black D, et al: Impact of antidepressant discontinuation after acute bipolar depression remission on rates of depressive relapse at 1-year follow-up. American Journal of Psychiatry 160:1252–1262, 2003
30.
Littrell J: Relationship between time since reuptake-blocker antidepressant discontinuation and relapse. Experimental and Clinical Psychopharmacology 2:82, 1994
31.
Geddes JR, Carney SM, Davies C, et al: Relapse prevention with antidepressant drug treatment in depressive disorders: a systematic review. Lancet 361:653–661, 2003
32.
Middleton DJ, Cameron IM, Reid IC: Continuity and monitoring of antidepressant therapy in a primary care setting. Quality in Primary Care 19:109–113, 2011
33.
Stein MB, Cantrell CR, Sokol MC, et al: Antidepressant adherence and medical resource use among managed care patients with anxiety disorders. Psychiatric Services 57:673–680, 2006
34.
Brambilla P, Cipriani A, Hotopf M, et al: Side-effect profile of fluoxetine in comparison with other SSRIs, tricyclic and newer antidepressants: a meta-analysis of clinical trial data. Pharmacopsychiatry 38:69–77, 2005
35.
Bull SA, Hu XH, Hunkeler EM, et al: Discontinuation of use and switching of antidepressants: influence of patient-physician communication. JAMA 288:1403–1409, 2002
36.
Frank RG, Glied S: Better but Not Well: Mental Health Policy in the United States Since 1950. Baltimore, Johns Hopkins University Press, 2006
37.
Olfson M, Marcus SC: National patterns in antidepressant medication treatment. Archives of General Psychiatry 66:848–856, 2009
38.
Cooper LA, Gonzales JJ, Gallo JJ, et al: The acceptability of treatment for depression among African-American, Hispanic, and white primary care patients. Medical Care 41:479–489, 2003
39.
Peveler R, George C, Kinmonth AL, et al: Effect of antidepressant drug counselling and information leaflets on adherence to drug treatment in primary care: randomised controlled trial. British Medical Journal 319:612–615, 1999
40.
Mojtabai R, Olfson M: National trends in long-term use of antidepressant medications: results from the US National Health and Nutrition Examination Survey. Journal of Clinical Psychiatry 75:169–177, 2014
41.
Boudreau DM, Daling JR, Malone KE, et al: 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, 2004
42.
Haukka J, Suvisaari J, Tuulio-Henriksson A, et al: High concordance between self-reported medication and official prescription database information. European Journal of Clinical Pharmacology 63:1069–1074, 2007
43.
Cotterchio M, Kreiger N, Darlington G, et al: Comparison of self-reported and physician-reported antidepressant medication use. Annals of Epidemiology 9:283–289, 1999
44.
Sarangarm P, Young B, Rayburn W, et al: Agreement between self-report and prescription data in medical records for pregnant women. Birth Defects Research: Part A, Clinical and Molecular Teratology 94:153–161, 2012
45.
Haapea M, Miettunen J, Lindeman S, et al: Agreement between self-reported and pharmacy data on medication use in the Northern Finland 1966 Birth Cohort. International Journal of Methods in Psychiatric Research 19:88–96, 2010
46.
Tisnado DM, Adams JL, Liu H, et al: What is the concordance between the medical record and patient self-report as data sources for ambulatory care? Medical Care 44:132–140, 2006
47.
Kwon A, Bungay KM, Pei Y, et al: Antidepressant use: concordance between self-report and claims records. Medical Care 41:368–374, 2003
48.
Boudreau DM, Doescher MP, Saver BG, et al: Reliability of Group Health Cooperative automated pharmacy data by drug benefit status. Pharmacoepidemiology and Drug Safety 14:877–884, 2005
49.
Sun GC, Hsu MC, Moyle W, et al: Mediating roles of adherence attitude and patient education on antidepressant use in patients with depression. Perspectives in Psychiatric Care 47:13–22, 2011
Information & Authors
Information
Published In
Cover: By the Pond, by Mary Cassatt, circa 1898. Color print with dry point and aquatint, fourth and final state (classmark: MEZAP+). Print collection, Miriam and Ira D. Wallach Division of Art, Prints and Photographs, New York Public Library. Photo credit: The New York Public Library/Art Resource, New York City.
History
Received: 17 January 2014
Revision received: 14 July 2014
Accepted: 2 September 2014
Published online: 15 December 2014
Published in print: May 01, 2015
Authors
Funding Information
Dr. Mojtabai has received consulting fees from Lundbeck Pharmaceuticals. Ms. Samples reports no financial relationships with commercial interests.
Metrics & Citations
Metrics
Citations
Export Citations
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.
For more information or tips please see 'Downloading to a citation manager' in the Help menu.
View Options
View options
PDF/EPUB
View PDF/EPUBGet Access
Login options
Already a subscriber? Access your subscription through your login credentials or your institution for full access to this article.
Personal login Institutional Login Open Athens loginNot a subscriber?
PsychiatryOnline subscription options offer access to the DSM-5-TR® library, books, journals, CME, and patient resources. This all-in-one virtual library provides psychiatrists and mental health professionals with key resources for diagnosis, treatment, research, and professional development.
Need more help? PsychiatryOnline Customer Service may be reached by emailing [email protected] or by calling 800-368-5777 (in the U.S.) or 703-907-7322 (outside the U.S.).