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Antidepressant use in clinical practice: efficacy v. effectiveness

Published online by Cambridge University Press:  02 January 2018

John Donoghue*
Affiliation:
School of Pharmacy and Chemistry, Liverpool John Moores University, Liverpool, UK
Timothy R. Hylan
Affiliation:
CNS Medical Service Liaison Team, Pfizer, Inc., USA
*
Mr John Donoghue, PCS Health, 4 Wrenfield Grove, Liverpool L17 9QD, UK. Tel: +44 151 726 1860; e-mail: john@donoghue.u-net.com.
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Abstract

Background

Although the efficacy of antidepressants has been demonstrated in randomised, controlled clinical trials, it is how an antidepressant is used in clinical practice that determines its clinical effectiveness, or real-world efficacy.

Aims

To explore the frequency with which antidepressants are used at adequate dose and duration to obtain remission of symptoms and prevent relapse in clinical practice and discuss potential implications for clinical outcomes.

Method

Studies of antidepressant prescribing were reviewed and comparisons made between antidepressant classes and individual compounds within those classes.

Results

Naturalistic studies show that patients who begin therapy on tricyclic antidepressants often receive sub-therapeutic doses for inadequate duration; conversely patients who begin therapy on selective serotonin reuptake inhibitors more often receive an adequate dose of therapy for a longer duration.

Conclusions

How antidepressants are used in clinical practice can determine the clinical outcomes that are achieved. Antidepressants that are more forgiving of sub-optimal prescribing and use patterns by providers and patients, respectively, may help to improve real-world efficacy.

Type
Research Article
Copyright
Copyright © Royal College of Psychiatrists, 2001 

The efficacy of antidepressants in the treatment of depression and other related affective disorders has been demonstrated in randomised controlled trials (RCTs) (Reference Song, Freemantle and SheldonSong et al, 1993; Reference Anderson and TomensonAnderson & Tomenson, 1994; Reference Hotopf, Lewis and NormandHotopf et al, 1996; Reference Geddes, Freemantle and MasonGeddes et al, 1999; Reference AndersonAnderson, 2000). Taking an antidepressant drug at an effective dose for an adequate period reduces the number and severity of acute symptoms (Reference Anderson and TomensonAnderson & Tomenson, 1994; Reference Montejo, Gilaberte and FombellidaMontejo et al, 1998), improves the patient's ability to function (Reference Mintz, Mintz and ArrudaMintz et al, 1992; Reference Sturm and WellsSturm & Wells, 1995) and minimises the risk of relapse or recurrence (Reference Prien and KupferPrien & Kupfer, 1986; Reference Maj, Veltro and PirozziMaj et al, 1992; British Association for Psychopharmacology, 1993). In major depression, pooled data from meta-analyses of clinical trials have failed to show consistently that any one antidepressant or group of antidepressants has superior efficacy over any other (Anon., 1993; Reference Song, Freemantle and SheldonSong et al, 1993; Reference Anderson and TomensonAnderson & Tomenson, 1994; Reference Hotopf, Lewis and NormandHotopf et al, 1996; Reference Geddes, Freemantle and MasonGeddes et al, 1999; Reference AndersonAnderson, 2000). Although one meta-analysis found tricyclic antidepressants (TCAs) to be more efficacious than selective serotonin reuptake inhibitors (SSRIs) in hospital in-patients (Reference AndersonAnderson, 1998), another meta-analysis using different methodology failed to find any difference (Reference Geddes, Freemantle and MasonGeddes et al, 1999).

However, the conditions in which clinical trials are conducted may be very different from the conditions of clinical practice. Clinical trials typically take place in highly selected populations treated under controlled and optimal conditions, with treatment determined by a clear study protocol. This type of study design is quite deliberate — to reduce the potential for bias and to ensure that any differences found can be attributed to differences in the properties of the compounds being investigated.

In contrast, treatment conditions in clinical practice are far removed from those of clinical trials, with no patient selection, no randomisation, and with variations in the behaviour of prescribers and patients and in the systems of health care in which treatment is delivered (Reference Simon, Wagner and Von KorffSimon et al, 1995). Data suggest that patient compliance and adherence to medications in clinical practice may also differ from that in RCTs (Reference DemyttenaereDemyttenaere, 1997).

While the efficacy findings of RCTs are certainly important factors in antidepressant selection, the efficacy of a compound is no more than a measure of its therapeutic potential under standardised and optimal conditions. A more useful concept is that of real-world efficacy or ‘effectiveness’: the use of the compound in ways that will deliver the desired outcomes of treatment. Given the complexities of clinical practice, an antidepressant's efficacy as demonstrated by RCTs is likely to overestimate its effectiveness in clinical practice settings. Differences in effectiveness between antidepressant classes and individual compounds may help to guide antidepressant selection when efficacy is similar.

TREATMENT GUIDELINES

The findings of efficacy from clinical trials, and the conditions that need to be met to ensure effectiveness in clinical practice, have influenced the content of both national and international guidelines for the management of depression (Reference Donoghue and TaylorDonoghue & Taylor, 2000). Generally, guidelines recommend that to be effective antidepressants need to be used at a known effective dose, and to reduce the likelihood of relapse, treatment should be maintained at the same dose for a minimum period, usually 4-6 months following resolution of acute symptoms (Reference Donoghue and TaylorDonoghue & Taylor, 2000). In clinical practice there are many factors that may influence whether these conditions are met, including the pharmacological properties of the drug (half-life, dosing regimen); tolerability; patients' beliefs and behaviour (compliance); providers' beliefs and behaviour (experience, preferences); health care system characteristics (financing of health care benefits and ease of access to treatment); and societal factors (stigma of treatment, discrimination).

Importance of dose

The use of an efficacious dose is the first step in achieving a positive clinical outcome. Because dose and adverse effects are usually linked (i.e. the higher the dose, the greater the incidence and severity of adverse effects), in clinical practice physicians may seek to treat patients with as low a dose as possible (Reference Wernicke, Bosomworth and AshbrookWernicke et al, 1989; Reference Dunner and DunbarDunner & Dunbar, 1992; Reference Fabre, Abuzzahab and AminFabre et al, 1995; Reference Rudolph, Entsuah and ChitraRudolph et al, 1998). However, treating patients with the lowest possible dose may subject them to adverse drug effects without the benefit of an efficacious drug treatment (Reference Dunn, Donoghue and OzminkowskiDunn et al, 1999). Compliance with the prescribed treatment is also an important factor in the patient receiving an appropriate dose (Reference JohnsonJohnson, 1986; Reference DemyttenaereDemyttenaere, 1997).

Importance of duration

Depression is a recurrent and chronic disorder. As many as 50% of patients who have an initial episode of depression will have a recurrent episode (Agency for Health Care Policy Research, 1993) and 12-15% will become chronically depressed (Reference ScottScott, 1988). Controlled studies have found that the initial duration of antidepressant therapy is an important determinant of relapse or recurrent episodes, with the risk of relapse decreasing as treatment time increases (Reference Maj, Veltro and PirozziMaj et al, 1992; Reference Montgomery, Rasmussen and LybyMontgomery et al, 1992; Reference Altamura and PercudaniAltamura & Percudani, 1993). The importance of therapy length for symptom improvement in the acute phase (Reference Montejo, Gilaberte and FombellidaMontejo et al, 1998; Reference Hylan, Meneades and CrownHylan et al, 1999b ), restoration of patient functioning (Reference Sturm and WellsSturm & Wells, 1995) and reduced risk of relapse or recurrence (Reference Li, Claxton and McKendrickLiet al, 1998; Reference Melfi, Chawla and CroghanMelfiet al, 1998) has also been confirmed in naturalistic studies. For example, one such study found that compared with 1 month of antidepressant treatment, 4 months of treatment increased measures of work restoration four-fold (Reference Mintz, Mintz and ArrudaMintz et al, 1992). A second study found that doubling the proportion of patients receiving adequate antidepressant therapy resulted in a significant reduction in depression-related disabilities (Reference Sturm and WellsSturm & Wells, 1995).

Clinical practice realities

A growing body of naturalistic research has contributed to our understanding of how antidepressants are used in clinical practice and whether such use fulfils the requirements of effectiveness (Reference Donoghue and TaylorDonoghue & Taylor, 2000). This research is especially valuable from the perspective of primary care, where the majority of cases of depression are treated (Reference Paykel and PriestPaykel & Priest, 1992). Evidence has been available since the early 1970s that antidepressants are not used effectively in clinical practice (Johnson, Reference Johnson1973, Reference Johnson1981; Kotin et al, 1973; Reference Keller, Klerman and LavoriKeller et al, 1982). More recently, large population-based studies in several countries have confirmed, and indeed strengthened, the evidence from previous small studies that antidepressants are not being used effectively in primary care settings (Reference Rosholm, Hallas and GramRosholm et al, 1993; Reference Munizza, Tibaldi and BolliniMunizza et al, 1995; Reference Bingefors, Isacson and von KnorringBingefors et al, 1997). For physicians attempting to optimise treatment, these findings raise obvious questions of whether there are differences between antidepressants in how they are used in clinical practice and whether those differences are important in determining the likelihood of achieving effectiveness.

This review of the adequacy of antidepressant therapy in clinical practice focuses on TCAs and the SSRIs. Newer antidepressants — such as nefazodone, venlafaxine, mirtazapine and reboxetine — have only recently been introduced and few analyses of their use in clinical practice have been published.

ADEQUACY OF DOSE

Tricyclic antidepressants

In both primary and secondary care settings, TCAs are frequently prescribed at doses below those shown to be efficacious in RCTs, with a resultant decrease in effectiveness (Reference Paykel, Mueller and De la VergnePaykel et al, 1973; Reference Berken, Weinstein and SternBerken et al, 1984; Reference Garland, Remick and ZisGarland et al, 1988; Reference Rosholm, Hallas and GramRosholm et al, 1993; Reference Henry, Alexander and SenerHenry et al, 1995; Reference Beaumont, Baldwin and LaderBeaumont et al, 1996; Donoghue & Tylee, 1996; Reference Donoghue, Taylor and WildgustDonoghue et al, 1996; Reference Katzelnick, Kobak and JeffersonKatzelnick et al, 1996; Reference Phillips, Brent and KuligPhillips et al, 1997; Reference Donoghue and TaylorDonoghue & Taylor, 2000). This may be due to a variety of factors, including concern about their side-effect and toxicity profiles, as well as continuing debate over their clinically effective dose (Reference Thompson and ThompsonThompson & Thompson, 1989a ; Reference Beaumont, Baldwin and LaderBeaumontet al, 1996; Canadian Coordinating Office, 1998; Reference DonoghueDonoghue, 1998a ).

Low-dose prescribing of TCAs is not limited to a single geographical region, but has been found across Europe, North America and Australasia (Reference Donoghue and TaylorDonoghue & Taylor, 2000). For example, in 1993, Rosholm and colleagues found that in a Danish population of over 200 000 patients, average doses of TCAs never reached 100 mg daily (Reference Rosholm, Hallas and GramRosholm et al, 1993). Similar findings have been made in Italy (Reference Munizza, Tibaldi and BolliniMunizza et al, 1995) and in Sweden (Reference Bingefors, Isacson and von KnorringBingefors et al, 1997).

In the UK, a study using a national primary care database (DIN-Link, Compufile Ltd, Woking, UK) in a population of over 750 000 patients revealed the all-pervasive extent of the use of TCAs at low doses, with 88% of patients receiving doses below the minimum recommended in the national guidelines (Donoghue & Tylee, 1996). This study was repeated comparing data on antidepressant use patterns from 1993 with data from 1995 — a period during which a national Defeat Depression campaign was being conducted (Reference Donoghue, Taylor and WildgustDonoghue et al, 1996). No differences were found in the doses of TCAs prescribed or the proportion of patients receiving an adequate dose. A further population-based study from Scotland, in a population of over 400 000 patients, found that only 7% of prescriptions for TCAs reached therapeutic doses (Reference MacDonald, McMahon and ReidMacDonald et al, 1996). However, these studies were limited by their cross-sectional design and by their inability to demonstrate outcomes of these patterns of treatment.

More recently, data have become available from the 5 years of the Defeat Depression campaign (further details available from the author upon request). There has been a slow trend for TCAs to be prescribed at effective doses in more patients, increasing from 12% in 1992 to 15% in 1996. However, for the most commonly prescribed TCAs, amitriptyline and dothiepin, the most commonly prescribed daily doses were 50 mg and 75 mg respectively, and these remained unchanged throughout the 5 years of the campaign. These doses are considerably less than the 125 mg per day recommended as the minimum effective dose for these compounds (Reference Paykel and PriestPaykel & Priest, 1992). However, these cross-sectional findings may fail to reveal the full extent of the problem. Under this study design, a patient who was prescribed an effective dose for only one day would be included in the ‘adequate dose’ cohort.

Data published in 1998 demonstrated that these patterns of low-dose prescribing in the UK were not due to disproportionate numbers of elderly patients being treated with low doses; on the contrary, younger patients were more likely to receive an inadequate dose of TCA (Reference Donoghue, Katona and TyleeDonoghue et al, 1998). The resultant decrease in effectiveness with low-dose prescribing has been demonstrated in studies by Blashki et al (Reference Blashki, Mowbray and Davies1971) and Thompson & Thompson (Reference Thompson and Thompson1989b ), where patients treated with sub-optimal doses of amitriptyline or dothiepin had the same response as patients treated with placebo, and in a naturalistic study in primary care which found that three-quarters of patients treated with sub-therapeutic doses of antidepressants remained depressed despite long-term treatment (Reference AliAli, 1998).

SSRIs

In contrast, SSRIs as a class are almost always prescribed at efficacious doses in the clinical practice setting, probably because of a combination of their better safety and toxicity profiles, tolerability and well-established simple dosing regimens (Donoghue & Tylee, 1996; Reference Donoghue, Taylor and WildgustDonoghue et al, 1996; Reference Katzelnick, Kobak and JeffersonKatzelnick et al, 1996; Donoghue, Reference Donoghue1998a ,Reference Donoghue b ; Reference Montejo, Gilaberte and FombellidaMontejo et al, 1998; Reference Dunn, Donoghue and OzminkowskiDunn et al, 1999). However, differences in dosing patterns also appear to exist between the SSRIs, although the clinical significance of these differences has not been established. Patients starting therapy with fluoxetine are less likely to have their dose increased above the initial dose than patients starting therapy with other SSRIs (Reference Gregor, Coons and MacDonaldGregor et al, 1994; Reference Navarro, Valler and SpanglerNavarro et al, 1995; Reference Sclar, Robison and SkaerSclar et al, 1995; Donoghue & Tylee, 1996; Reference Truter and KotzeTruter & Kotze, 1996; Reference Bingefors, Isacson and von KnorringBingefors et al, 1997; Reference DonoghueDonoghue, 1998b ; Reference Dunn, Donoghue and OzminkowskiDunn et al, 1998; Hylan et al, Reference Hylan, Dossenbach and Meneades1998a , Reference Hylan, Crown and Meneades1999a ; Reference Montejo, Gilaberte and FombellidaMontejo et al, 1998).

ADHERENCE TO DOSING REGIMEN

Naturalistic data suggest that between 30% and 60% of patients do not take their medication as prescribed (Reference CramerCramer, 1995; Reference DemyttenaereDemyttenaere, 1997). A 9-week RCT found that only 42.5% of patients took their antidepressant medication correctly (right dose, right time of day) 80% of the time (Reference Demyttenaere, Van Ganse and GregoireDemyttenaere et al, 1998); in a non-controlled clinical setting, adherence might be expected to be even worse. Another study found that between 15% and 25% of patients had a gap of 2 weeks or more between their antidepressant prescriptions, which raises obvious questions about adherence to their medication (Reference Hylan, Dunn and TepnerHylan et al, 1998b ). Many factors contribute to non-compliance with antidepressants, including the health care system, intrinsic pharmacological characteristics of the antidepressant (including adverse effects), and patient and prescriber behaviour (Reference DemyttenaereDemyttenaere, 1998).

A general perception exists that patients are more compliant with SSRIs than with TCAs. However, definitive evidence supporting this perception is lacking, although this may be attributable to the difficulty in studying issues of compliance (Reference DemyttenaereDemyttenaere, 1997). Simple methods of assessing compliance, such as pill counts and interrogation, are often inaccurate and generally overestimate adherence. More accurate methods of compliance assessment, such as electronic monitoring of medication bottle openings, are not simple to employ (Reference DemyttenaereDemyttenaere, 1997).

In a 9-week evaluation of compliance, assessed by use of a microelectromechanical system (MEMS) to monitor patients taking amitriptyline or fluoxetine (Reference Demyttenaere, Van Ganse and GregoireDemyttenaere et al, 1998), both patient groups were found to have poor compliance in general, with more than half the patients having treatment adherence of less than 50%. No significant differences in treatment adherence were seen between groups. Interestingly, therapeutic effect was not correlated with compliance.

Another study has evaluated compliance in out-patients prescribed dothiepin or fluoxetine (Reference Thompson, Peveler and StephensonThompson et al, 2000) using these methods: pill count, patient report and MEMS monitoring. Similar compliance rates were found using pill count (76% fluoxetine; 64% dothiepin) and patient report (79% fluoxetine; 80% dothiepin) with both methods, suggesting that patients were generally compliant with their dosing regimen. However, when assessed using the MEMS, compliance was found to be less than that assessed by either pill count or patient report. The authors suggested that long windows (7 days or more) of total non-compliance over the course of the treatment period would be more damaging to treatment response than brief episodes spread out over the course of treatment, and defined a compliance index as a measure of this. Using the MEMS data to calculate the compliance index, adjusted mean compliance rates were significantly greater for fluoxetine-treated patients compared with dothiepin-treated patients (70.0% fluoxetine; 55.8% dothiepin;P=0.01). Additionally, treatment response for both medications was significantly correlated with the compliance index (P<0.001), but not with the 80% MEMS compliance measure. The discrepancy between the crude compliance measures (pill count and patient report) and the more rigorous method (MEMS) highlights some of the difficulties in studying this complex phenomenon.

One potential consequence of non-adherence to the prescribed regimen is the possibility of discontinuation symptoms, which have been described for both TCAs and SSRIs, with symptoms sometimes reported to occur after as little as one missed dose (Reference Charney, Heninger and SternbergCharney et al, 1982; Reference Dilsaver and GredenDilsaver & Greden, 1984; Reference Dilsaver, Greden and SniderDilsaver et al, 1987; Reference Schatzberg, Haddad and KaplanSchatzberg et al, 1997; Reference Parker and BlennerhassettParker & Blennerhassett, 1998). Comparative studies of individual SSRIs show that they have different propensities for discontinuation symptoms (Reference Coupland, Bell and PotokarCoupland et al, 1996; Reference Lejoyeux, Ades and MouradLejoyeux et al, 1996; Reference Price, Waller and WoodPrice et al, 1996), with patients taking sertraline or paroxetine more likely to experience adverse events and a re-emergence of depressive symptoms on discontinuation than patients taking fluoxetine (Reference Rosenbaum, Fava and HoogRosenbaum et al, 1998).

DURATION OF THERAPY

In clinical practice, only a small proportion of patients with depression experience adequate duration of therapy (Reference Katon, von Korff and LinKaton et al, 1992; Reference MacDonald, McMahon and ReidMacDonald et al, 1996; Reference Lepine, Gastpar and MendlewiczLepine et al, 1997; Reference DonoghueDonoghue, 1998b ; Reference Dunn, Donoghue and OzminkowskiDunn et al, 1999), which is defined as 4-6 months beyond acute symptom resolution (World Health Organization Mental Health Collaborating Centers, 1989; Reference Paykel and PriestPaykel & Priest, 1992; Agency for Health Care Policy Research, 1993; British Association for Psychopharmacology, 1993; Reference Reimherr, Amsterdam and QuitkinReimherr et al, 1998). For example, in a population-based study from Scotland of over 400 000 patients, only 32% of patients prescribed an antidepressant received more than 90 days of treatment (Reference MacDonald, McMahon and ReidMacDonald et al, 1996). This duration of therapy is often required for acute symptom resolution, and does not meet the criteria for appropriate continuation therapy.

In primary care there is some limited evidence that TCA-treated patients discontinue treatment more rapidly than SSRI-treated patients, with one study reporting that during a year's treatment, patients who began therapy on the TCA dothiepin received fewer prescriptions for the initially prescribed antidepressant than patients who began therapy on the SSRI fluoxetine (Reference Treglia, Neslusan and DunnTreglia et al, 1999). In a retrospective Swedish study, patients who began treatment on an SSRI were more likely to have a longer initial therapy length (and possibly a reduced risk of recurrence) than patients who began therapy on a TCA. Subsequently, TCA-treated patients were more than twice as likely to have a recurrent episode of antidepressant treatment (at least 9 months between the end of the initial episode and restarting an antidepressant) than patients who began therapy on an SSRI (Reference Isacsson, Boethius and HenrikssonIsacsson et al, 1999).

Naturalistic studies of SSRIs have found that patients started on fluoxetine are more likely to complete a minimum course of therapy than patients started on other antidepressants (Reference Katon, von Korff and LinKaton et al, 1992; Sclar et al, Reference Sclar, Robison and Skaer1994, Reference Sclar, Robison and Skaer1995; Reference Simon, Von Korff and HeiligensteinSimon et al, 1996; Reference Croghan, Lair and EngelhartCroghan et al, 1997; Reference Montejo, Gilaberte and FombellidaMontejo et al, 1998; Reference Dunn, Donoghue and OzminkowskiDunn et al, 1999; Reference Hylan, Crown and MeneadesHylan et al, 1999a ; Reference McCombs, Nichol and StimmelMcCombs et al, 1999). In a large naturalistic study, patients initially prescribed sertraline were found to drop out of treatment at a significantly faster rate than patients prescribed fluoxetine (sertraline v. fluoxetine P<0.001) or paroxetine (sertraline v. paroxetine P<0.001) (Reference DonoghueDonoghue, 1998b ).

LONGITUDINAL STUDIES OF TREATMENT PATTERN

TCA v. SSRI

To overcome some of the limitations of RCTs and small naturalistic studies, a method was developed to conduct a longitudinal study in a large population. Using the DIN-Link database (Reference Dunn, Donoghue and OzminkowskiDunn et al, 1999), the study was designed to investigate the effect of the first antidepressant prescribed (by class, TCAs v. SSRIs) on the subsequent pattern of treatment in patients starting treatment for a new episode of depression. The main outcome measure was whether the patterns of treatment complied with national treatment guidelines (Reference Paykel and PriestPaykel & Priest, 1992).

Patients admitted to the study were initially prescribed one of the most commonly used TCAs (amitriptyline, dothiepin, imipramine or lofepramine) or SSRIs (fluoxetine, paroxetine or sertraline) for a new episode of depression (this was determined by a 6-month prior period during which time no treatment with any antidepressant had been prescribed). A population of 16 204 patients entered the study, and the data were analysed on an intent-to-treat basis with all subsequent outcomes being assigned to the first antidepressant prescribed for each patient.

There may be several factors that influence prescribing patterns, so the data were subjected to logistic regression analysis to control for possible confounding variables and to determine the effect of the first antidepressant prescribed. The outcome measure was whether patients received antidepressant treatment at an effective dose for an adequate period. Factors that may have influenced the outcome, and which were controlled for in the analysis, included patient demographics (age and gender), region of the country, use of other health care resources, diagnosis of depression (the database permitted the use of five diagnostic labels for depression, including reactive depression and endogenous depression), comorbid physical illness and comorbid psychiatric conditions.

Of the 16 204 patients entering the study, 62% were prescribed a TCA, with the remainder prescribed an SSRI. Even before controlling for factors that might have influenced outcome, patients initially prescribed an SSRI appeared much more likely to complete an effective course of therapy compared with those beginning treatment with a TCA. After controlling for potential confounding influences through logistic regression analysis, the odds of having an adequate dose of antidepressant and duration of treatment were over seven times higher for patients starting treatment with an SSRI (odds ratio 7.473, P<0.001). Patients prescribed TCAs failed to have their doses titrated to effective levels, with only 9% of patients having their dose increased. Even so, the majority of patients treated with a TCA discontinued treatment prematurely. Patients taking an SSRI always received an effective dose, but many discontinued treatment before an adequate duration of therapy had been achieved. The findings for the TCAs were skewed by the inclusion of lofepramine, which may be regarded as an atypical TCA, considerably less toxic in overdose (Reference Henry, Alexander and SenerHenry et al, 1995) and generally considered to be better tolerated than older TCAs such as amitriptyline and imipramine. If lofepramine is excluded, the percentage of patients beginning treatment on TCAs who received adequate therapy falls to 2.8%, and the odds ratio for SSRI-treated patients compared with TCA-treated patients receiving effective therapy increases to 17.1 (P<0.001).

SSRIs

Differences in the use patterns of the SSRIs (in dosage and duration of treatment) in clinical practice are an unexpected finding. Since these compounds have many similarities (Reference LeonardLeonard, 1993; Reference Song, Freemantle and SheldonSong et al, 1993; Reference Anderson and TomensonAnderson & Tomenson, 1994; Reference FinleyFinley, 1994; Reference Henry, Alexander and SenerHenry et al, 1995), it seems possible that the differences in use patterns found in clinical practice may be due to external factors rather than to intrinsic properties of the compounds. To investigate this, data from the cohort prescribed SSRIs in the previous study were subjected to additional analysis (Reference Dunn, Donoghue and OzminkowskiDunn et al, 1998) to determine the effect of initiating treatment with fluoxetine, paroxetine or sertraline on the subsequent pattern of treatment. The main outcome measure was the likelihood of completing 6 months of continuous stable therapy on the initial antidepressant without switching to an alternative antidepressant, augmenting with a second antidepressant, or increasing the dose of the initial antidepressant. These alternatives were not considered to be inappropriate forms of treatment, but for the purposes of the study were regarded as signals of a delay in achieving the desired outcomes of antidepressant treatment, namely control of acute symptoms and subsequent recovery.

Patients admitted to the study were starting treatment with fluoxetine, paroxetine or sertraline for a new episode of depression (this was determined by a 6-month prior period during which time no treatment with any antidepressant had been prescribed). Of the 6150 patients entering the study, 3845 began treatment with fluoxetine, 1563 with paroxetine and 742 with sertraline. The data were analysed on an intent-to-treat basis with all subsequent outcomes being assigned to the first antidepressant prescribed for each patient. As in the previous study, observable factors that may have influenced the outcome were controlled for using logistic regression analysis.

Before adjustment for observable factors that might have influenced outcomes, patients beginning treatment with fluoxetine seemed most likely to achieve a minimum period of stable therapy. After controlling for potential confounding variables through logistic regression analysis, the odds of having a minimum period of stable therapy (relative to fluoxetine, which was assigned a value of 1) were 0.44 (P<0.001) for patients starting treatment with sertraline and 0.82 (P<0.01) for patients starting treatment with paroxetine. However, since the study was not able to investigate outcomes, the clinical significance of these findings is unknown.

DISCUSSION: WHY DO THESE OBSERVED DIFFERENCES OCCUR?

Longitudinal studies of antidepressant use patterns confirm the findings of previous cross-sectional studies. Differences in use patterns are clearly demarcated by the class of antidepressant prescribed: patients who begin therapy on a TCA generally receive sub-therapeutic doses and discontinue the medication rapidly. In contrast, patients who begin therapy on an SSRI are more likely to have an adequate dose, although the duration of treatment is still shorter than that recommended in treatment guidelines. Within the SSRIs, differences also exist, although to a lesser degree. These differences are likely to affect the effectiveness of antidepressant treatment in the clinical setting.

It is possible that a single influence, a range of influences, or an interaction between them could cause these differences to occur. They could be due to pharmacological differences between the compounds. This seems plausible, as TCAs as a group have many similarities, as do the SSRIs. Controlled trials have shown that both groups of compounds have similar efficacy, so pharmacological differences are likely to be manifested as differences in tolerability, which could then be reflected in the prescribing patterns. Additionally, prescribing patterns are likely to be influenced by both the patient's behaviour and expectations of treatment, and the physician's behaviour and experience with treatments. Co-prescription of other medicines, concomitant physical or psychiatric illnesses, use of other health services and disease severity are also likely to influence prescribing patterns. Indeed, in the large longitudinal database studies described earlier (Dunn et al, Reference Dunn, Donoghue and Ozminkowski1998, Reference Dunn, Donoghue and Ozminkowski1999), the diagnostic criteria were not defined and disease severity was not assessed, both factors that might have influenced the outcomes observed. It has been suggested that many patients in primary care treated with TCAs at low doses actually suffer from mild, mixed anxiety-depression disorders and can be treated effectively with lower antidepressant doses than patients with major depression, although evidence to support this is lacking (Reference Thompson and ThompsonThompson & Thompson, 1989a ; Reference AliAli, 1998; Reference DonoghueDonoghue, 1998a ). Similarly, a dose of dothiepin of 75 mg per day was found to be effective in preventing recurrence of depression in elderly patients (Old Age Depression Interest Group, 1993), although doses prescribed for the elderly in clinical practice in primary care were found to be much lower than this (Reference Donoghue, Katona and TyleeDonoghue et al, 1998). None the less, differences in use patterns, especially between TCAs and SSRIs, appear to be consistent across national boundaries, among patient populations who are likely to have very different health beliefs and expectations, in doctors who experience widely different training, and in systems of health care that deliver services in very different ways. The only constant influence appears to be biological: the differences in prescribing patterns occur as a result of pharmacological differences between the compounds.

The tolerability profile of an antidepressant can be expected to influence both adherence to dosing and overall duration of treatment (Reference Kuzel, De Wester and RichardsonKuzel et al, 1996; Reference Demyttenaere, Van Ganse and GregoireDemyttenaere et al, 1998). The SSRIs are generally considered to have tolerability advantages over TCAs, as they have a more benign adverse effect profile (Reference Benfield and WardBenfield & Ward, 1986; Reference Benfield, Heel and LewisBenfield et al, 1986; Reference Dechant and ClissoldDechant & Clissold, 1991; Reference Feighner, Gardner and JohnstonFeighner et al, 1991; Reference EdwardsEdwards, 1992; Reference Grimsley and JannGrimsley & Jann, 1992; Reference Murdoch and McTavishMurdoch & McTavish, 1992; Reference Edwards, Inman and WiltonEdwards et al, 1994; Reference Montgomery and KasperMontgomery & Kasper, 1998). In addition, the adverse effects associated with TCAs typically do not decrease in severity with continued therapy (Reference Reimherr, Byerley and WardReimherr et al, 1988), whereas the side-effects of SSRIs generally tend to be transient (Reference Reimherr, Byerley and WardReimherr et al, 1988; Reference Zajecka, Amsterdam and QuitkinZajecka et al, 1999) and more easily managed, for example by altering the time of administration (morning or evening) or taking the drug with food (Reference Rickels and SchweizerRickels & Schweizer, 1990; Reference NemeroffNemeroff, 1994; Reference Kuzel, De Wester and RichardsonKuzel et al, 1996). Of course, some patients on SSRIs do not experience symptom relief with continued therapy, and some side-effects associated with SSRIs (such as sexual dysfunction) are not expected to be short-lived.

Meta-analyses of clinical trials have confirmed that more patients discontinue treatment because of adverse events on TCAs than on SSRIs (Reference Montgomery, Henry and McDonaldMontgomery et al, 1994; Reference Anderson and TomensonAnderson & Tomenson, 1995; Reference Montgomery and KasperMontgomery & Kasper, 1995; Reference Geddes, Freemantle and MasonGeddes et al, 1999), although the differences in drop-out rates are modest. Other analyses have reported a higher incidence of adverse events with TCAs relative to fluoxetine, with significantly higher discontinuation rates for TCAs (Reference Pande and SaylerPande & Sayler, 1993), and have found more adverse events reported with TCAs than with the SSRI citalopram (Reference Bech and CialdellaBech & Cialdella, 1992). Further evidence can be found in a study that accounted for both frequency and severity of side-effects, in which the side-effect burden of amitriptyline was found to be substantially greater than that of sertraline (Reference Reimherr, Chouinard and CohnReimherr et al, 1990), and in a controlled study where the rate of discontinuation due to adverse events was three times higher for the TCAs desipramine and imipramine than for fluoxetine (Reference Simon, Von Korff and HeiligensteinSimon et al, 1996).

The possibility that differences in prescribing patterns occur as a result of pharmacological differences is given additional weight by the logistic regression analyses conducted by Dunn et al (Reference Dunn, Donoghue and Ozminkowski1998, Reference Dunn, Donoghue and Ozminkowski1999). This technique allows the potentially confounding influences of patient characteristics, region of the country, diagnosis of depression, concomitant physical and psychiatric illness, co-prescription of other medicines and the use of other health resources to be controlled for, with the results as reported above. It may be that there are still more influences at work of which we are as yet unaware, but on the evidence currently available, the most significant predictor of the subsequent pattern of treatment (which will, in its turn, determine the outcome in terms of response, recovery or likelihood of relapse) is the antidepressant with which treatment is initiated. The evidence clearly shows the advantage of initiating treatment with an SSRI.

Differences between the SSRIs are more difficult to explain, as pharmacological differences between them are small and none has been shown consistently to be better tolerated (Reference LeonardLeonard, 1993; Reference FinleyFinley, 1994). Clinical trials and pooled data from meta-analyses suggest that the SSRIs have more similarities than differences: similar efficacy, similar side-effects, similar tolerability and similar toxicity in overdose (Reference LeonardLeonard, 1993; Reference Song, Freemantle and SheldonSong et al, 1993; Reference Anderson and TomensonAnderson & Tomenson, 1994; Reference FinleyFinley, 1994; Reference Henry, Alexander and SenerHenry et al, 1995). However, despite these similarities, differences have been reported in their adverse effect profiles. Paroxetine has been associated with the highest incidence of antimuscarinic side-effects because of its affinity for cholinergic receptors (Reference GagianoGagiano, 1993; Reference DeVaneDeVane, 1995; Reference PreskornPreskorn, 1995; Reference NelsonNelson, 1997), and citalopram has been associated with a higher degree of sedation because of its degree of binding to H1 receptors (Reference FinleyFinley, 1994). Fluoxetine has been reported to produce an increase in the frequency of anxiety or anxiety-related symptoms including nervousness and agitation (Reference DeVaneDeVane, 1995; Reference Fisher, Kent and BryantFisher et al, 1995; Reference PreskornPreskorn, 1995; Reference Price, Waller and WoodPrice et al, 1996; Reference NelsonNelson, 1997; Reference MacKay, Dunn and MartinMacKay et al, 1999), although other studies found fluoxetine to be similar to other SSRIs (Reference TignolTignol, 1993; Reference Patris, Bouchard and BougerolPatris et al, 1996; Reference Fava, Rosenbaum and HoogFava et al, 1998). Weight loss and anorexia have been associated with fluoxetine (Reference TignolTignol, 1993; Reference PreskornPreskorn, 1995; Reference NelsonNelson, 1997; Reference Michelson, Amsterdam and QuitkinMichelson et al, 1999), while weight gain has been associated with paroxetine (Reference Fava, Rosenbaum and HoogFava et al, 1998) and citalopram (Reference Bouwer and HarveyBouwer & Harvey, 1996). Headache has been associated with fluoxetine (Reference DeVaneDeVane, 1995; Reference PreskornPreskorn, 1995; Reference NelsonNelson, 1997; Reference Ontiveros and Garcia-BarrigaOntiveros & Garcia-Barriga, 1997). Based on data from clinical practice, the incidence of adverse events has been reported to be highest with fluvoxamine (Reference MacKay, Dunn and WiltonMacKay et al, 1997; Reference Arias, Padin and GilaberteArias et al, 1998). Gastrointestinal complaints, including nausea and vomiting, have been reported with fluvoxamine (Reference Price, Waller and WoodPrice et al, 1996; Reference Arias, Padin and GilaberteArias et al, 1998), paroxetine (Reference MacKay, Dunn and MartinMacKayet al, 1999) and sertraline (Reference DeVaneDeVane, 1995; Reference Fisher, Kent and BryantFisher et al, 1995). Tremor has been reported with paroxetine (Reference Price, Waller and WoodPrice et al, 1996; MacKay et al, Reference MacKay, Dunn and Wilton1997, Reference MacKay, Dunn and Martin1999), fluvoxamine (Reference MacKay, Dunn and WiltonMacKay et al, 1997) and sertraline (Reference Arias, Padin and GilaberteArias et al, 1998). Sexual dysfunction has been observed with all SSRIs, although reported to occur more frequently with paroxetine (Reference Price, Waller and WoodPrice et al, 1996; Reference MacKay, Dunn and WiltonMacKay et al, 1997; Reference NelsonNelson, 1997; Reference Fava, Rosenbaum and HoogFava et al, 1998; Reference Rosen, Lane and MenzaRosen et al, 1999) and sertraline (Reference DeVaneDeVane, 1995; Reference Fisher, Kent and BryantFisher et al, 1995; Reference NelsonNelson, 1997).

There is, however, one property that separates fluoxetine from the other SSRIs. The pharmacokinetics of fluoxetine, with the very long half-life of its active metabolite norfluoxetine, suggest that until steady-state plasma levels are achieved (which may take up to 5 weeks), patients taking 20 mg daily undergo very gradual incremental increase in plasma concentration. The incidence and discomfort of adverse effects is likely to be experienced more acutely in situations where treatment is initiated at a high dose, or where doses are increased rapidly. Thus, the long half-life of fluoxetine/norfluoxetine may confer greater tolerability, at least in the important early stages of treatment where the dropout rate is highest, which in turn results in more patients achieving a minimum period of stable therapy. The corollary to this, however, is that although adverse effects may be experienced less acutely, when they occur they will persist for longer than similar effects experienced with drugs with shorter half-lives. Similarly, problems may occur with drug interactions and on switching from fluoxetine to another antidepressant, when a long wash-out period may be required before another agent can be prescribed.

Because non-compliance and non-adherence to dosage in clinical practice is common, therapeutic coverage that is maintained despite missing doses may be beneficial. This benefit may be further enhanced if the potential for adverse effects when patients miss doses or abruptly discontinue therapy is reduced.

The data presented here show the disparity between the findings of controlled trials and those of observational studies. Controlled trials show no important differences in efficacy, and only modest tolerability advantages for the SSRIs compared with TCAs. Observational studies show that SSRIs appear to have important clinical advantages over TCAs, but the findings may be subject to bias. This creates a dilemma for practitioners over which results should take precedence. Although there seems to be a compelling case to abandon control of bias (controlled studies) in favour of generalisability (observational studies), a careful consideration of all the available evidence suggests that both sources of data are needed to make fully informed clinical decisions. Data from RCTs are essential to ensure that interventions for which efficacy has not been demonstrated are not applied in clinical practice, and observational studies provide information indicating which of a number of interventions of proven efficacy is most likely to deliver the desired outcome in a practice rather than a research setting.

CONCLUSION

Common behaviours in clinical practice include sub-therapeutic dosing, missing doses during therapy and inadequate lengths of therapy. These practices decrease the likelihood of acute symptoms improving and increase the likelihood of relapse or recurrent depressive episodes, demonstrating that there are significant opportunities for improvement in antidepressant prescribing. One possible opportunity is for individual prescribers to consistently select antidepressants that naturally maximise the potential for real-world efficacy.

Despite the proven efficacy of TCAs in controlled trials, patients treated with these antidepressants appear to have little hope of receiving adequate therapy. The findings of small naturalistic studies over many years — that patients prescribed TCAs are treated at doses that are not effective for the treatment of their depression — have been confirmed by large epidemiological studies which have revealed the pervasiveness of this practice, which seems to be independent of nationality or system of health care. More recent longitudinal analyses find that patients beginning treatment with a TCA start and remain on low doses, and still discontinue treatment prematurely.

In contrast, patients beginning treatment with an SSRI are at least seven times more likely to receive an adequate course of antidepressant therapy. Even so, a large proportion of patients drop out of treatment prematurely, leaving considerable scope for improvement.

These findings are restricted to the TCAs and SSRIs most commonly prescribed for the treatment of depression in primary care, and come largely from studies performed in the UK. On the basis of these data, SSRIs must be regarded as the gold standard for the treatment of depression in primary care. As newer antidepressants become used more widely, further studies will be required to evaluate the outcomes obtained from their use, and their potential to improve the management of depression.

Footnotes

Declaration of interest

J. D. received an honorarium and travel expenses from Eli Lilly & Co. At the time of manuscript preparation, T. R. H. was employed at Eli Lilly & Co.

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