Organized Self-Management Support Services for Chronic Depressive Symptoms: A Randomized Controlled Trial
Abstract
Objective:
This study aimed to determine whether a self-management support service was more effective than treatment as usual in reducing depressive symptoms and major depressive episodes and increasing personal recovery among individuals with chronic or recurrent depressive symptoms.
Methods:
The study was a randomized controlled trial of a self-management support service consisting of depression self-management training, recovery coaching, and care coordination. The 18-month intervention included regular telephone or in-person contacts with a care manager and a structured group program co-led by a professional therapist and a trained peer specialist. Intervention (N=150) and control (N=152) participants ages ≥18 with chronic or recurrent depressive symptoms were recruited from five clinics in Seattle, Washington. Outcome measures included the Hopkins Symptom Checklist depression scale, the Recovery Assessment Scale, the Patient-Rated Global Improvement scale, and the percentage of participants with a major depressive episode. Interviewers were masked to treatment condition.
Results:
Repeated-measures estimates of the long-term effect of the intervention versus usual care (average of the six-, 12-, and 18-month outcomes adjusted for age, gender, and site) indicated that intervention participants had less severe symptoms (p=.002) and higher recovery scores (p=.03), were less likely to be depressed (odds ratio [OR]=.52, p=.001), and were more likely to be much improved (OR=1.96, p=.001).
Conclusions:
These findings support providing regular outreach care management and a self-care group offering a combined behavioral and recovery-oriented approach for people with chronic or recurrent depressive symptoms.
The personal and societal burden of depression weighs most heavily on persons with chronic or recurrent illness. Up to 30% of patients with depression have a chronic course with protracted episodes or incomplete remission between episodes (1–9). Community surveys estimate that at any given time, at least 3% of the population experiences chronic depression (6,10–12). Persistent depression is associated with high utilization of general medical services (11,13), poor general health, and greater impairment in psychosocial and work functioning (4,14–17). Chronic depression is one of the strongest risk factors for suicide attempts and hospitalization (18). Among primary care patients treated for depression, 15% have persistent depression, but they account for 35% of health care expenditures and 45% of lost work productivity due to the illness (19).
Efforts to improve the effectiveness of community depression care have primarily focused on initial treatment. Various collaborative care or care management programs have attempted to bridge the gap between efficacy and effectiveness by increasing the proportion of people who receive evidence-based care when they begin depression treatment. Such programs have been repeatedly proven to improve quality of treatment, satisfaction with care, and clinical outcomes (20,21). Key ingredients of these programs have included persistent outreach to promote engagement, systematic measurement of outcomes, application of evidence-based treatment algorithms, and support for self-management of depression (including both psychoeducation and structured psychotherapy) (22–24).
A similar effort is needed to improve the effectiveness of care for chronic depression (25). Efficacy of specific treatments for chronic depression, both pharmacotherapy and psychotherapy, is well established (26–33), but the actual reach of those treatments is limited. Extending successful collaborative care or care management models to chronic depression must address two challenges. First, chronic depressive symptoms can lead to hopelessness regarding the effectiveness of treatment and the possibility of recovery. Care programs for people living with chronic symptoms must emphasize the possibility of recovery while acknowledging disappointing experiences with treatment (34–36). Second, pathways to chronic depression are highly varied in terms of life experience and treatment history (9,37). Effective care programs must improve the quality of treatment while accommodating this diversity.
This study compared the effectiveness of a self-management support service and treatment as usual in reducing depressive symptoms and major depressive episodes and increasing personal recovery among individuals with chronic or recurrent depressive symptoms. This effectiveness trial enrolled a heterogeneous sample of patients with chronic depressive symptoms. The intervention consisted of a flexible program that included outreach care management to improve engagement with mental health services and pharmacotherapy and a self-management skills group program incorporating wellness and recovery elements. We hypothesized that the intervention program would produce greater long-term symptom improvement and perceived recovery compared with usual depression care.
Methods
Participants and Recruitment
Between January 2010 and October 2011, participants were recruited from four primary care clinics of Group Health (GH) Cooperative and from the Swedish Family Medicine Residency Clinic at Cherry Hill. Both GH and Swedish are nonprofit health care organizations in the Seattle, Washington, area. GH clinics provide coverage and care to approximately 600,000 Washington residents; the Cherry Hill clinic provides primary care to an economically disadvantaged population numbering about 20,000 per year.
Potential participants were identified through population-based screening and provider referral. Electronic medical records data from the GH and Cherry Hill clinics were used to identify potentially eligible patients. Identified patients were at least 18 years old, had at least two visits for depression associated with antidepressant treatment in the past year, had no diagnosis of bipolar or psychotic disorder in the past two years, and were not currently participating in other depression-related studies. Providers at participating GH clinics and Cherry Hill were also notified about the study, and patients at both organizations were allowed to self-refer to the study. Brochures and flyers were designed to help providers at Cherry Hill inform other potentially eligible patients (missed by electronic identification) about the study and how to self-refer.
Study staff at each site mailed invitation letters to potentially eligible patients that included a $2 bill as a “preincentive” and an option to decline further contact. Staff followed up with a phone call to assess interest in participation. GH study staff were responsible for conducting eligibility assessment by phone with all patients expressing interest in participation. Staff at Cherry Hill asked interested patients for verbal permission to release their contact information to the GH study staff.
Eligibility and Baseline Assessments
Inclusion criteria were assessed by telephone screening. Eligibility requirements included significant residual symptoms (score of ≥10 on the Patient Health Questionnaire–9 [PHQ-9]) (38,39), history of recurrent major depression (three or more episodes in the past five years) or dysthymia, and willingness to attend groups. Exclusion criteria included history of mania or hypomania, cognitive impairment, metastatic cancer, chronic renal failure, or having a plan to move out of state in the next 18 months. Co-occurring alcohol or drug use, personality, or anxiety disorders were not exclusion criteria.
Following telephone screening, participants were asked to complete an in-person baseline assessment. Research study staff obtained written informed consent, and participants received $20 for time and travel.
At baseline, trained interviewers assessed current depression with the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) (40) and the 20-item Hopkins Symptom Checklist (SCL-20) for depression (41). The Recovery Assessment Scale (RAS) was included to assess participants’ perceptions of recovery and included five subscales (personal confidence and hope, willingness to ask for help, goal and success orientation, reliance on others, and no domination by symptoms) (42). Co-occurring anxiety disorders were assessed with the Psychiatric Diagnostic Screening Questionnaire (PDSQ) (43), and borderline personality disorder was assessed by using the self-report screener from the Structured Clinical Interview for DSM-IV Axis II Personality Disorders (SCID-II) (44). Cutoff scores for the SCID-II and PDSQ were selected to maximize specificity. Bipolar spectrum disorder was assessed with the Mood Disorder Questionnaire (45). We included additional questions regarding use of depression services (including inpatient and outpatient mental health specialty services, medical visits addressing depression, and antidepressant medication).
Randomization
Following the baseline interview, participants were randomly assigned to the intervention or usual care by using electronically generated randomization tables. Randomization was stratified by site and blocked in randomly allocated block sizes ranging from 4 to 12 through the use of a scheme that was designed by the study statistician and incorporated into the tracking database; interviewers were blinded to treatment group. Participants assigned to the intervention group were notified by a study care manager. Participants assigned to usual care were notified by mail.
Participants assigned to either group were free to use any primary care or mental health specialty services normally available at GH or Cherry Hill or available elsewhere.
Intervention
The 18-month intervention included regular telephone or in-person contacts with a care manager and a structured group program. The meetings were co-led by a care manager and a trained peer specialist. After random assignment, participants who were assigned to the intervention were invited to attend an engagement session modeled on the work of Grote and colleagues (46) and Zuckoff and colleagues (47). During the engagement sessions, the care manager and peer specialist followed an outline and a suggested script that employed evocative and motivational strategies to increase initial engagement in all aspects of the intervention program (46,47). As part of the group program, participants met weekly for ten weeks, twice a month for two months, and then once a month for maintenance of progress.
Over the course of the study, four clinicians with varied professional training functioned as care managers, including a social worker, a marriage and family therapist, a health educator, and a psychologist. All had extensive experience working with patients with depression. Three individuals with personal experience of depression served as paid peer specialists. Each specialist completed a five-day training and certification program from the Depression and Bipolar Support Alliance. Peer specialists held drop-in office hours and made group reminder calls, in addition to cofacilitating groups. During these contacts, peer specialists engaged in conversations focused on goals and strategies to facilitate recovery. Peer specialists referred all clinical concerns to the care manager, treating providers, or supervisory team.
The tracking database supported systematic tracking of patient contacts, assessment of depressive symptoms (PHQ-9), documentation of self-care and recovery goals, and participation in the group program. The care manager contacted patients at specified intervals no longer than a month apart during the first 12 months, after which the intervals between contacts varied according to symptoms, treatment adherence, and patient engagement with treatment providers. During each contact, care managers helped participants identify, plan, and troubleshoot actions to meet personal self-management goals.
Care managers also sent quarterly reports to treating providers via e-mail (for GH providers) or by fax (for Swedish providers). Reports included information about patients’ current depressive symptoms (PHQ-9), participation in the group program, and self-care and recovery goals. The care manager also provided care coordination and facilitated follow-up care. All intervention staff received weekly supervision by the study psychologist and psychiatrist. These weekly sessions were used to discuss patients with moderate or more severe depressive symptoms or who were overdue for contact or to respond to concerns by care managers about a particular patient.
The manualized self-management group program was adapted from the cognitive-behavioral therapy program used in our pilot study (48) and supplemented with recovery-oriented content (49,50). [The content of weekly classes is summarized in an online supplement to this article.] The peer specialist acted as both a cofacilitator and a participant role model for the groups.
Blinded Outcome Assessments
Interviewers blinded to treatment assignment contacted participants by telephone for outcome assessments at three, six, 12, and 18 months after randomization. Participants were paid $20 for completion of each interim assessment and $30 for completion of the final assessment (regardless of treatment assignment or level of participation in treatment). Each assessment included the SCL-20 (41); the current depression module of the SCID-I (40); the RAS (42); the Patient-Rated Global Improvement (PGI) (51), a 7-point rating of treatment effectiveness from a patient’s perspective; and questions about mental health care utilization and antidepressant use since the previous assessment.
Protection of Human Subjects
All participants provided documented oral consent for participation in telephone screening and written informed consent prior to study enrollment. Study procedures and materials were approved by both the GH and Swedish Medical Center institutional review boards. Study safety was monitored by a Data Safety Monitoring Board, which met every six to 12 months to review reports on recruitment, data collection, patient safety, and outcomes.
Data Analysis
We compared the intervention and control groups at baseline by using t tests for continuous variables and chi square tests for binary or categorical variables.
Our primary outcome measure was the mean score on the SCL-20. Secondary outcome measures included percentage of participants with major depression on the basis of SCID-I diagnosis, percentage of participants with a PGI rating of “much improved” or better, and mean score on the RAS. The primary analysis assessed the long-term effect of the intervention by comparing the average of the six-, 12- and 18-month outcomes for each group. We estimated this effect by using repeated-measures methods, including random-effects mixed models for continuous or ordinal outcomes (such as the SCL-20), and generalized estimating equations (GEE) for binary outcomes. GEE models used an independent working correlation with empirical standard errors. We also compared the groups on rate of improvement over the first six months by using random-effects mixed models and GEEs and at each time point (cross-sectional analysis) by using t tests and chi square tests. All analyses were completed with and without adjustment for site, age, gender, and baseline value of the outcome variable (except for the model for initial rate of change).
Analyses classified participants according to initial treatment assignment without regard to their degree of participation in the intervention (intent-to-treat approach.) The study had 80% power to detect an 11.3% difference on the SCL-20. All analyses used SAS 9.1.
Results
Recruitment
Between January 2010 and September 2011, a total of 2,166 potentially eligible patients were identified either by review of computerized records or by referral by treating providers. Of those invited for screening, 1,150 completed screening interviews; 302 patients were eligible to participate, completed baseline interviews, and were randomly assigned to the intervention (N=150) or to a usual care control group (N=152). [A flowchart documenting participation in the intervention is available in an online supplement to this article.] Enrollment continued until we reached our enrollment goal of 300, chosen on the basis of power analyses.
Of the 150 patients assigned to the intervention, 138 (92%), 137 (91%), 135 (90%), and 134 (89%) completed the three-, six-, 12-, and 18-month follow-up interviews, respectively. Of the 152 patients assigned to usual care, 145 (95%), 140 (92%), 138 (91%, and 140 (92%) completed the three-, six-, 12-, and 18-month follow-up interviews, respectively. There were no significant differences between the treatment groups in follow-up rates overall or at any time point.
Characteristics of Participants
As shown in Table 1, the modal participant was a middle-aged female with moderate symptoms of depression. Those assigned to the intervention group were more often female, but treatment groups were similar in all other baseline characteristics.
Control (N=152) | Intervention (N=150) | ||||
---|---|---|---|---|---|
Characteristic | N | % | N | % | p |
Age (M±SD) | 50.9±13.1 | 48.7±14.7 | .16 | ||
18–44 | 42 | 28 | 53 | 35 | |
45–64 | 92 | 61 | 73 | 49 | .12 |
≥65 | 18 | 12 | 24 | 16 | |
Female | 93 | 61 | 112 | 75 | .01 |
College graduate or some college | 133 | 88 | 128 | 85 | .58 |
Caucasian | 111 | 73 | 112 | 75 | .99 |
Married | 57 | 38 | 54 | 36 | .85 |
Employed | 80 | 53 | 72 | 48 | .42 |
Major depression | 109 | 72 | 105 | 70 | .74 |
Panic disorder | 9 | 6 | 7 | 5 | .63 |
General anxiety disorder | 29 | 19 | 29 | 19 | .96 |
Borderline personality disorder | 85 | 56 | 87 | 58 | .71 |
SCL-20 (mean±SD score)a | 1.93±.63 | 1.91±.53 | .67 | ||
Recovery Assessment Scale (mean±SD score)b | 3.45±.45 | 3.48±.41 | .58 |
Baseline characteristics of participants in depression self-management support services and a control group
Participation in the Intervention
Of the 150 participants randomly assigned to the intervention, 148 (99%) had at least one care manager contact, 133 (89%) had four or more care manager contacts, and 127 (85%) remained engaged (received some care management contacts) during the last six months of their enrollment. A total of 124 (83%) participants attended at least one group session, 71 (47%) completed seven or more weekly group sessions, and 54 (35%) attended some group sessions in the last six months of their enrollment. Study participants attended 10±11 group sessions, including approximately 6±4 weekly sessions and 4±5 maintenance sessions. Thirteen groups were initiated during the course of the study. All sessions were audiotaped; a sampling of sessions (N=7) were independently rated for fidelity, and all were rated excellent.
Primary Outcomes
To determine if the intervention was efficacious, we examined the long-term effects on four outcomes (selected a priori): the SCL-20, the RAS, percentage with major depression (according to the SCID-I), and percentage who reported being greatly improved (PGI). The intervention had significant long-term effects—defined as the average of the six-, 12-, and 18-month follow-ups—on all four outcomes in repeated-measures analyses, with or without adjustment for age, gender, site, and baseline value of the outcome variable (adjusted p<.002, except for the RAS and the SCL-20 [p=.03]) (Table 2).
Outcome | Control (N=152) | Intervention (N=150) | Unadjusted analysis | Adjusted analysis | ||||
---|---|---|---|---|---|---|---|---|
M | SD | M | SD | Difference in means | p | Difference in means | p | |
SCL-20b | ||||||||
Baseline | 1.93 | .63 | 1.91 | .53 | –.02 | .69 | na | na |
Month 3 | 1.55 | .68 | 1.47 | .63 | –.08 | .27 | –.07 | .27 |
Month 6 | 1.48 | .69 | 1.32 | .67 | –.16 | .055 | –.18 | .015 |
Month 12 | 1.41 | .71 | 1.27 | .69 | –.14 | .11 | –.16 | .03 |
Month 18 | 1.35 | .75 | 1.07 | .68 | –.28 | .001 | –.29 | <.001 |
Averagec | 1.42 | 1.22 | –.20 | .003 | –.19 | .003 | ||
Recovery Assessment Scaled | ||||||||
Baseline | 3.45 | .45 | 3.48 | .41 | .03 | .56 | na | na |
Month 3 | 3.59 | .43 | 3.67 | .45 | .08 | .11 | .057 | .12 |
Month 6 | 3.67 | .45 | 3.76 | .41 | .09 | .11 | .07 | .07 |
Month 12 | 3.69 | .50 | 3.79 | .48 | .10 | .10 | .11 | .02 |
Month 18 | 3.75 | .51 | 3.92 | .43 | .17 | .003 | .13 | .01 |
Averagec | 3.69 | 3.82 | .13 | .01 | .11 | .03 | ||
N | % | N | % | OR | p | AOR | p | |
Major depressione | ||||||||
Baseline | 109 | 72 | 105 | 70 | .92 | .74 | na | na |
Month 3 | 72 | 50 | 40 | 29 | .41 | <.001 | .37 | <.001 |
Month 6 | 53 | 38 | 41 | 30 | .69 | .16 | .67 | .14 |
Month 12 | 54 | 39 | 35 | 26 | .55 | .02 | .49 | .01 |
Month 18 | 45 | 32 | 28 | 21 | .56 | .04 | .52 | .03 |
Averagec | 36 | 26 | .55 | .003 | .52 | .001 | ||
Much improvedf | ||||||||
Month 3 | 26 | 18 | 40 | 29 | 1.89 | .03 | 1.86 | .03 |
Month 6 | 29 | 21 | 53 | 39 | 2.42 | .001 | 2.39 | .002 |
Month 12 | 41 | 30 | 50 | 37 | 1.40 | .20 | 1.47 | .15 |
Month 18 | 44 | 31 | 67 | 50 | 2.18 | .002 | 1.95 | .001 |
Averagec | 27 | 42 | 1.92 | <.001 | 1.96 | .001 |
We also examined whether the intervention affected the rate of improvement over the first six months of the trial (“initial improvement”). The intervention resulted in faster rates of initial improvement on the SCL-20 and the RAS (adjusted p=.003 for the SCL and .013 for the RAS). Initial improvement for the control and intervention groups did not differ significantly for either the percentage with major depression or the percentage who reported being greatly improved.
We tested whether the effect of the intervention on the SCL depended on receipt of specialty mental health care at baseline. We found no evidence of such an interaction (data not shown).
Use of Antidepressants and Mental Health Services
Rates of self-reported utilization of nonstudy services for depression and antidepressant medication are shown in Table 3. Of GH participants for whom complete computerized pharmacy records were available, five of 122 in the intervention group and six of 128 in usual care initiated antidepressant treatment between baseline and three months (pharmacy records were not available at the Cherry Hill site). Intervention participants were more likely than members of the control group to be taking antidepressant medication at six, 12, and 18 months. Participants in the intervention group had significantly more nonstudy-related visits for depression at six months, but otherwise the rates of mental health visits between the two groups were comparable.
Control (N=152) | Intervention (N=150) | |||||||
---|---|---|---|---|---|---|---|---|
Outcome | N with data | N | % | N with data | N | % | ORa | pb |
Use of antidepressantsc | ||||||||
Month 3 | 144 | 124 | 86 | 138 | 127 | 92 | 1.87 | .11 |
Month 6 | 140 | 115 | 82 | 137 | 125 | 91 | 2.22 | .03 |
Month 12 | 138 | 113 | 82 | 134 | 121 | 90 | 1.98 | .05 |
Month 18 | 140 | 108 | 77 | 134 | 117 | 87 | 2.00 | .03 |
Percentage of doses taken (M±SD)c,d | ||||||||
Month 3 | 124 | 90%±23% | 127 | 93%±19% | 3% | .28 | ||
Month 6 | 115 | 92%±21% | 125 | 94%±18% | 2% | .36 | ||
Month 12 | 113 | 91%±19% | 121 | 92%±19% | 1% | .82 | ||
Month 18 | 107 | 89%±23% | 117 | 90%±22% | 1% | .94 | ||
Any mental health visits | ||||||||
Baseline | 152 | 106 | 70 | 150 | 109 | 73 | 1.16 | .49 |
Month 3 | 152 | 90 | 59 | 150 | 99 | 66 | 1.35 | .22 |
Month 6 | 152 | 73 | 48 | 150 | 98 | 65 | 2.01 | .003 |
Month 12 | 152 | 91 | 60 | 150 | 97 | 65 | 1.24 | .33 |
Month 18 | 152 | 96 | 64 | 150 | 99 | 67 | 1.14 | .6 |
Mental health visits per year (M±SD)e | ||||||||
Baseline | 106 | 21.5±24.5 | 109 | 18.6±18.8 | –14% | .35 | ||
Month 3 | 90 | 23.0±26.6 | 99 | 22.1±28.1 | –4% | .81 | ||
Month 6 | 73 | 27.0±27.6 | 98 | 22.8±24.8 | –15% | .31 | ||
Month 12 | 91 | 22.0±32.8 | 97 | 18.7±21.8 | –15% | .42 | ||
Month 18 | 96 | 20.9±29.8 | 99 | 18.7±30.6 | –11% | .61 |
Antidepressant use and mental health visits during follow-up among participants in depression self-management support services and a control group
Discussion
The intervention offered outreach care management and a self-management skills group program that included contributions and perspectives of both mental health professionals and peer support specialists. Results of the study showed broad support for this intervention across the domains of depressive symptoms and episodes, patient-rated global improvement, and recovery. An explicit goal of the intervention was to integrate the perspectives of the chronic care model and the recovery model in a single program. The chronic care model proposes a reorganization of the health care system to manage chronic or recurring illnesses more effectively (22,23). A unique contribution of this model is the focus on outreach to and engagement of people who are not already receiving services. The recovery model focuses on delivery of peer support to improve patients’ enjoyment of life by promoting a sense of well-being, hope, and optimism (52).
Our results suggest that these models can be successfully integrated, but in doing so, we cannot disentangle the effects of different intervention components. As in all multicomponent interventions, it is impossible to isolate the components that helped each individual. However, given the heterogeneity of chronic depression, a flexible program with patient-driven selection of components may meet the needs of the greatest number of people with chronic depression.
The terms self-management and recovery describe complementary, ongoing processes in which a person is the central determinant of his or her health and well-being (53). The intervention aimed to simultaneously diminish symptoms of depression and promote the separate dimension of well-being and life satisfaction. It achieved positive outcomes across both of these domains, similar to results among individuals with serious mental illness (50). Peer providers serve as important coping role models for both of these processes. Including peers as leaders in group programs emphasizes the strengths and experiential knowledge of persons with depression and demonstrates that strengths and internal resources are highly valued. Peer-led groups assist with destigmatization for those whose social identities have been put at risk by their illness. The social support and connectivity of groups enable members to better withstand crisis and alienation (54).
Not surprisingly, improvement of symptoms in both the intervention and the usual care groups was not as great as the improvement seen in trials focused on acute-phase treatment (20,21). Compared with participants in programs focused on acute or new episodes of depression, the participants in our study were likely to have tried treatments before, both pharmacological and psychotherapeutic (although not necessarily at adequate doses or duration). However, in this study, the effects at 18 months were larger compared with the effects that are usually observed in trials of other organized care programs, indicating that the effects of the intervention persisted to an unusual degree.
Strengths of the study included a large sample size, broad eligibility criteria, and recruitment from a variety of practice settings. We measured several outcomes of interest to patients and clinicians and found consistent positive results. Contributions of this study include a focus on persons with chronic depressive symptoms, collaboration between consumers and professionals in the design and delivery of the intervention, and an expansion of measurement-based care to include not only depressive symptoms but also recovery-oriented outcomes.
Delivery of a group program combining elements of traditional CBT for depression with recovery-oriented content was not without its challenges. Others hoping to deliver similar programs must expect ongoing negotiation about how to bridge differences in orientation and culture between two approaches that have not always been historically aligned.
There were several limitations to this study. We used treatment records to identify potential participants and thus did not recruit persons who had longstanding symptoms of depression but had no prior diagnosis. Participants came from two urban clinical systems and were well educated, limiting generalizability. Recruitment from the two sites was lopsided, and the lower number of participants from the clinic serving more disadvantaged patients precludes subgroup comparisons by site. Automated utilization data were available only for GH patients, so we used self-report for the whole sample. Nevertheless, we believe this limitation was offset by including two clinical systems and a more diverse population.
Conclusions
A systematic program of care management and group self-management support is a worthy addition to outpatient care for patients with chronic depressive symptoms. By combining elements of the chronic care model and the recovery model in a single program, the program successfully integrated the management strengths of the chronic care model with the sense of optimism and well-being provided by a care management approach.
1 : Long-term outcome of episodes of major depression: clinical and public health significance. JAMA 252:788–792, 1984Crossref, Medline, Google Scholar
2 : Fortnightly review: a regular review of the long-term follow-up of depression. BMJ 315:1143–1146, 1997Crossref, Medline, Google Scholar
3 : The role and clinical significance of subsyndromal depressive symptoms (SSD) in unipolar major depressive disorder. Journal of Affective Disorders 45:5–17, 1997Crossref, Medline, Google Scholar
4 : Long-term outcomes of initial antidepressant drug choice in a “real world” randomized trial. Archives of Family Medicine 8:319–325, 1999Crossref, Medline, Google Scholar
5 : Treatment process and outcomes for managed care patients receiving new antidepressant prescriptions from psychiatrists and primary care physicians. Archives of General Psychiatry 58:395–401, 2001Crossref, Medline, Google Scholar
6 : Prevalence and correlates of the proposed DSM-5 diagnosis of chronic depressive disorder. Journal of Affective Disorders 139:172–180, 2012Crossref, Medline, Google Scholar
7 : Epidemiology of chronic and nonchronic major depressive disorder: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Depression and Anxiety 28:622–631, 2011Crossref, Medline, Google Scholar
8 : Prevalence and predictors of recurrence of major depressive disorder in the adult population. Acta Psychiatrica Scandinavica 122:184–191, 2010Crossref, Medline, Google Scholar
9 : Chronic depression: update on classification and treatment. Current Psychiatry Reports 10:458–464, 2008Crossref, Medline, Google Scholar
10 : Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States: results from the National Comorbidity Survey. Archives of General Psychiatry 51:8–19, 1994Crossref, Medline, Google Scholar
11 : The epidemiology of dysthymia in five communities: rates, risks, comorbidity, and treatment. American Journal of Psychiatry 145:815–819, 1988Link, Google Scholar
12 : The epidemiology of chronic major depressive disorder and dysthymic disorder: results from the National Epidemiologic Survey on Alcohol and Related Conditions. Journal of Clinical Psychiatry 71:1645–1656, 2010Crossref, Medline, Google Scholar
13 : Chronic depression. Hospital and Community Psychiatry 44:633–639, 1993Abstract, Google Scholar
14 : The course of depression in adult outpatients: results from the Medical Outcomes Study. Archives of General Psychiatry 49:788–794, 1992Crossref, Medline, Google Scholar
15 : Functioning and well-being outcomes of patients with depression compared with chronic general medical illnesses. Archives of General Psychiatry 52:11–19, 1995Crossref, Medline, Google Scholar
16 : The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). JAMA 289:3095-3105, 2003Crossref, Medline, Google Scholar
17 : Clinical factors associated with relapse in primary care patients with chronic or recurrent depression. Journal of Affective Disorders 101:57–63, 2007Crossref, Medline, Google Scholar
18 : Thirty-month naturalistic follow-up study of early-onset dysthymic disorder: course, diagnostic stability, and prediction of outcome. Journal of Abnormal Psychology 107:338–348, 1998Crossref, Medline, Google Scholar
19 : Recovery from depression, work productivity, and health care costs among primary care patients. General Hospital Psychiatry 22:153–162, 2000Crossref, Medline, Google Scholar
20 : Collaborative care for depression in primary care: making sense of a complex intervention: systematic review and meta-regression. British Journal of Psychiatry 189:484–493, 2006Crossref, Medline, Google Scholar
21 : Collaborative care for depression and anxiety problems. Cochrane Database of Systematic Reviews 10:CD006525, 2012Medline, Google Scholar
22 : Organizing care for patients with chronic illness. Milbank Quarterly 74:511–544, 1996Crossref, Medline, Google Scholar
23 : Collaborative management of chronic illness. Annals of Internal Medicine 127:1097–1102, 1997Crossref, Medline, Google Scholar
24 : Collaborative depression care: history, evolution and ways to enhance dissemination and sustainability. General Hospital Psychiatry 32:456–464, 2010Crossref, Medline, Google Scholar
25 : Relief of chronic or resistant depression (Re-ChORD): a pragmatic, randomized, open-treatment trial of an integrative program intervention for chronic depression. Journal of Affective Disorders 123:243–248, 2010Crossref, Medline, Google Scholar
26 : Maintenance phase efficacy of sertraline for chronic depression: a randomized controlled trial. JAMA 280:1665–1672, 1998Crossref, Medline, Google Scholar
27 : A comparison of nefazodone, the cognitive behavioral-analysis system of psychotherapy, and their combination for the treatment of chronic depression. New England Journal of Medicine 342:1462–1470, 2000Crossref, Medline, Google Scholar
28 : Prevention of relapse/recurrence in major depression by mindfulness-based cognitive therapy. Journal of Consulting and Clinical Psychology 68:615–623, 2000Crossref, Medline, Google Scholar
29 : Preventing recurrent depression using cognitive therapy with and without a continuation phase: a randomized clinical trial. Archives of General Psychiatry 58:381–388, 2001Crossref, Medline, Google Scholar
30 : Effectiveness of psychotherapy and combination treatment for chronic depression. Journal of Clinical Psychology 59:893–905, 2003Crossref, Medline, Google Scholar
31 : Cognitive-behavioral analysis system of psychotherapy as a maintenance treatment for chronic depression. Journal of Consulting and Clinical Psychology 72:681–688, 2004Crossref, Medline, Google Scholar
32 : Efficacy of interpersonal psychotherapy plus pharmacotherapy in chronically depressed inpatients. Journal of Affective Disorders 109:65–73, 2008Crossref, Medline, Google Scholar
33 : Psychotherapy for chronic major depression and dysthymia: a meta-analysis. Clinical Psychology Review 30:51–62, 2010Crossref, Medline, Google Scholar
34 : What is recovery? A conceptual model and explication. Psychiatric Services 52:482–485, 2001Link, Google Scholar
35 : Recovery from serious mental illness: trajectories, characteristics, and the role of mental health care. Psychiatric Services 64:1203–1210, 2013Link, Google Scholar
36 : The Illness Management and Recovery program: rationale, development, and preliminary findings. Schizophrenia Bulletin 32(suppl 1):S32–S43, 2006Crossref, Medline, Google Scholar
37 : Factors associated with chronic depressive episodes: a preliminary report from the STAR-D project. Acta Psychiatrica Scandinavica 112:425–433, 2005Crossref, Medline, Google Scholar
38 : The PHQ-9: validity of a brief depression severity measure. Journal of General Internal Medicine 16:606–613, 2001Crossref, Medline, Google Scholar
39 : Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire. JAMA 282:1737–1744, 1999Crossref, Medline, Google Scholar
40 : Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) Clinical Version. Washington, DC, American Psychiatric Press, 1997Google Scholar
41 Derogatis L, Rickels K, Uhlenhuth E, et al: The Hopkins Symptom Checklist: a measure of primary symptom dimensions; in Psychological Measurements in Psychopharmacology: Problems in Pharmacopsychiatry. Edited by Pichot P. Basel, Switzerland, Kargerman, 1974Google Scholar
42 : Examining the factor structure of the Recovery Assessment Scale. Schizophrenia Bulletin 30:1035–1041, 2004Crossref, Medline, Google Scholar
43 : The Psychiatric Diagnostic Screening Questionnaire: development, reliability and validity. Comprehensive Psychiatry 42:175–189, 2001Crossref, Medline, Google Scholar
44 : User's Guide for the Structured Clinical Interview for DSM-IV Axis II Personality Disorders: SCID-II. Washington, DC, American Psychiatric Press, 1997Google Scholar
45 : Development and validation of a screening instrument for bipolar spectrum disorder: the Mood Disorder Questionnaire. American Journal of Psychiatry 157:1873–1875, 2000Link, Google Scholar
46 : Engaging women who are depressed and economically disadvantaged in mental health treatment. Social Work 52:295–308, 2007Crossref, Medline, Google Scholar
47 Zuckoff A, Swartz HA, Grote NK: Motivational interviewing as a prelude to psychotherapy of depression; in Motivational Interviewing in the Treatment of Psychological Problems. Edited by Arkowitz H, Westra HA, Miller WR, et al. New York, Guilford, 2008Google Scholar
48 : A pilot study of telephone care management and structured disease self-management groups for chronic depression. Psychiatric Services 58:1065–1072, 2007Link, Google Scholar
49 : Results of a randomized controlled trial of mental illness self-management using Wellness Recovery Action Planning. Schizophrenia Bulletin 38:881–891, 2012Crossref, Medline, Google Scholar
50 : A randomized controlled trial of effects of Wellness Recovery Action Planning on depression, anxiety, and recovery. Psychiatric Services 63:541–547, 2012Link, Google Scholar
51 Guy W: ECDEU Assessment Manual for Psychopharmacology. Rockville, Md, US Department of Health, Education and Welfare, Alcohol, Drug Abuse and Mental Health Administration, 1976Google Scholar
52 : Illness Management and Recovery: a review of the research. Psychiatric Services 53:1272–1284, 2002Link, Google Scholar
53 : Integrating wellness, recovery, and self-management for mental health consumers. Community Mental Health Journal 46:130–138, 2010Crossref, Medline, Google Scholar
54 : A marriage of opposites: self-help and the health care system. American Psychologist 56:173–174, 2001Crossref, Medline, Google Scholar