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Special ArticleFull Access

Research on the Tufts Be Well at Work Program for Employees With Depression: 2005–2020

Abstract

Objective:

Although depression is a prevalent and costly health problem exacting a large toll on work productivity, interventions targeting occupational functioning are rare. This article describes the development of the Tufts Be Well at Work intervention, a brief telephonic program designed to improve occupational functioning among employees with depression and reduce depression symptom severity. Results from 15 years of research are summarized evaluating the occupational, clinical, and economic impact of Be Well at Work.

Methods:

The design, methods, and results of all six Tufts Be Well at Work studies are reported. Studies included an initial workplace pilot study, two workplace randomized clinical trials (RCTs), one RCT in a health care system, and two pilot implementation studies conducted in a workplace and in an academic medical center. RCTs compared Tufts Be Well at Work to usual care.

Results:

Tufts Be Well at Work consistently and significantly improved occupational functioning, work productivity, and depression symptom severity. Employees randomly assigned to usual care experienced smaller gains. The program also delivered a positive return on investment.

Conclusions:

Evidence suggests that Tufts Be Well at Work is an effective intervention for improving occupational and clinical functioning. Its relatively low cost and its impact on work productivity contribute to its positive economic impact.

Highlights

  • Tufts Be Well at Work is a new short-term, low-cost, work-focused, telephone-based treatment program designed to improve the occupational functioning of working people with depression.

  • This work-focused intervention has four integrated components, each addressing a specific barrier to recovering occupational functioning: private electronic screening, work coaching and modification strategies, work-focused cognitive-behavioral therapy, and psychoeducational and care coordination interventions.

  • Tufts Be Well at Work significantly improved occupational functioning, work productivity, and depression symptom severity and showed a positive return on investment.

  • Tufts Be Well at Work may be implemented in the workplace or in health care systems and aligns well with the increased use of telehealth services.

In 2011, our Psychiatric Services editorial urged researchers, clinicians, and employers to help depressed employees participate fully and effectively in the labor market (1). This recommendation was based on research that found high rates of depression-related job loss, absenteeism, and presenteeism (at-work functional difficulties) and associated productivity costs (28). In the United States, depression is one of the most prevalent and costly health problems (9). One in eight working-age adults is estimated to be clinically depressed, and half will experience a recurrence within 1 year of remission (10). Access to high-quality care has been constrained by gaps in insurance coverage, provider supply, physician practice patterns, stigma, and lack of consumer knowledge of depression and its treatment (11, 12).

The U.S. direct cost of care for commercially insured persons with depression is at least $98.9 billion annually (13), even though only 50% of adults with depression are diagnosed and under half of those diagnosed receive guideline-concordant care (1, 14). At the societal level, the indirect costs of depression’s morbidity and mortality, costs related to lost productivity, have been estimated to be $111.7 billion annually in the United States (in 2010 dollars) (13). This extraordinary cost is separate from the economic burden at the employer and employee levels. For example, it has been estimated that a company with 10,000 employees and $70 million in profits will accrue depression costs of $17.2 million (25% of profit), including just under $10 million in absenteeism and presenteeism (12). Individual employees, blue collar and white collar, are also paying a price, although not well documented, through lost wages and benefits, diminished opportunities for career advancement, and economic insecurity and their consequences in terms of the quality of life of employees and their families.

The aim of this article is to describe the research and development process for the Tufts Be Well at Work program, an intervention for improving the occupational functioning of employees with depression and reducing productivity loss. In this article, we organize the evidence regarding the program’s effectiveness and cost and discuss progress and remaining challenges. The program was intended to fill a gap in care that mainly consisted of (and continues to consist of) medical care options to reduce depression symptoms (e.g., antidepressants and psychotherapy) and employer-sponsored programs, such as employee assistance programs (EAPs). Over 15 years, with the help of federal grants, the program was developed and tested in an initial pilot study (15), three randomized clinical trials (RCTs) (7, 16, 17), and two pilot implementation studies (no publications).

Clinical research on depression treatment has been focused on addressing problems of access and quality, with the goal of improving depression symptoms. Relatively few clinical research studies have considered work outcomes as the primary endpoint (18) (exceptions include a few high-quality care approaches, such as the collaborative care model, but these have been slow to disseminate [1921]). Similarly, research on the efficacy of employer-sponsored options, such as EAPs for employees with depression, is sparse, and average annual EAP use rates remain relatively low (2%−3% of employee populations) (22). Other employer- or payer-sponsored services, such as depression screening, resiliency training, case management for complex health conditions, and disability or absence management programs, vary considerably, and there is limited evidence to support effects on depression or its work outcomes (23).

Since approximately 2014, almost a decade after we began our intervention research, several systematic reviews and meta-analyses have been published to determine the efficacy of interventions, some delivered through the workplace, on the clinical or work outcomes of adults with depression. A systematic review by Lee and colleagues (24) of 17 RCTs testing the efficacy of different antidepressants on work functioning and work absences found positive effects. Another meta-systematic review conducted by Joyce and colleagues (25) included workplace interventions of any duration for employees with depression or anxiety, most of which involved the use of cognitive-behavioral therapy (CBT), using a variety of approaches. CBT reduced symptoms but did not have a significant impact on work outcomes unless it was combined with other approaches, such as problem-solving therapy.

Tan and colleagues (26) implemented a meta-analysis of nine RCTs testing universal workplace programs for depression prevention, most of which involved CBT, and found a small positive effect on depression symptoms. A Cochrane Collaborative systematic review, updated in 2020 (27), investigated the effects of clinical and work-directed interventions aimed at reducing disability among employees with depression. In 45 studies with more than 12,000 individuals, they found moderate evidence for the efficacy of interventions that combined clinical and work-directed strategies for reducing the number of sickness absence days and functioning. They noted gaps in evidence for longer-term effects and the need for studies to identify which specific combinations of interventions performed best. Our three RCTs were included in the clinical or work-directed studies group (7, 16, 17).

The Tufts Be Well at Work Program

Tufts Be Well at Work is aimed at addressing this large unmet need for services with integrated and tailored mental health and vocational strategies. Although the program gives primacy to occupational functioning, the knowledge and skills that employees gain often generalize to other life domains.

Tufts Be Well at Work is a telephone-based program and, therefore, can be provided by employers; service suppliers, such as contracted EAPs; behavioral health provider organizations; health insurers; and health care systems. Care is provided by counselors who have a master’s degree or higher during eight approximately 50-minute biweekly telephone sessions. The total duration is 16 weeks. Although the program is compatible with videoconferencing, we have tested the telephonic version only.

The program is supported by an electronic data system that is public facing (for employee screening, enrollment, informed consent, and data collection) and counselor facing (for scheduling, care documentation, standardized assessment, self-management planning, monitoring of counselor fidelity to the protocol, clinical supervision, and outcome reporting). The websites are privacy protected, password protected, and HIPAA compliant.

The program has four integrated components, each addressing a specific barrier to recovering occupational functioning. They are private electronic screening, accessible from a computer or mobile device to improve participation; work coaching and modification strategies targeting work-related barriers to functioning; work-focused CBT strategies to address maladaptive thoughts, feelings, and behaviors interfering with working; and psychoeducational and care coordination interventions to strengthen linkages to primary care physicians or other providers. The program also makes use of motivational interviewing, monthly reassessment, and self-management of depression principles.

Screening uses the self-administered nine-item Patient Health Questionnaire (PHQ-9) (28, 29) to assess depression symptoms and the Work Limitations Questionnaire (WLQ) (30, 31) to assess deficits in occupational functioning. Both employee and counselor receive the results. Work coaching and modification addresses barriers to effective functioning through acquiring new work strategies. The intervention includes a detailed discussion of the employee’s job demands, job control, stressors, and supports. With methods applied in vocational rehabilitation, supported employment, and management, the counselor and employee develop a work modification plan. This plan, which is designed to be self-administered and does not require employer involvement, promotes improved functioning through adopting changes in work behavior (e.g., new time management techniques), work routines (e.g., collaborating versus staying isolated), or the work environment (e.g., reducing distractions).

Work-focused CBT addresses psychological barriers to functional improvement, promoting strategies to change behaviors and cognitions that interfere with effective functioning (20, 32). Employees learn to identify the maladaptive patterns of thinking, feelings, and acting that are eroding work functioning and to substitute more adaptive habits. A series of work-related experiments, customized to the employee, are carried out.

The program also employs some of the principles of high-quality care associated with the more extensive collaborative care model (18, 33). This core component supports patient activation through motivational interviewing, psychoeducation, care coordination, self-management support, and monthly assessments. With the employee’s permission, monthly assessments of symptoms and occupational functioning are sent to the employee’s regular care provider. More detailed description of the intervention is available elsewhere (3, 7, 1517).

Tufts Be Well at Work Studies Designs and Methods

Over the course of 15 years, we have conducted six studies (Tables 1–3). (A table in an online supplement to this article presents further details.) These six studies were conducted in different settings and study populations, partly by design and partly opportunistically. Because we are interested in presenting both the journey and the results, we report on each study, including the nuances of design and methods, results, and conclusions, rather than conducting a meta-analysis of these studies. A recent and comprehensive systematic review, which includes our three RCTs, is available (27).

TABLE 1. Overview of studies of Tufts Be Well at Work program

Study characteristicStudy 1: Global security company (U.S. only) (15)Study 2: State government employer (7)Study 3: Health care services group and individual employers (16)Study 4: VA medical center (VAMC) behavioral health lab (17)Study 5: State government employerStudy 6: Academic medical center
SitePrivate employer (3 locations)Government employerMultiple employers (24 employers)aOutpatient health clinicGovernment employer (2 divisions)Private employer
Duration (N months)April 2006– March 2007 (12)October 2007–April 2008 (7)2010–2013 (36)2014–2018 (39)August 2015–October 2016 (14)April 2019– November 2019 (8)
DesignObservational study with external comparator2-arm randomized controlled trial (RCT) with 2:1 ratio2-arm RCT with 1:1 ratio2-arm RCT with 1:1 ratioPre-postPre-post
Screening methodWeb-based, privacy-protected study websiteWeb-based, privacy-protected study websiteWeb-based, privacy-protected study websitePhone prescreening and in-person screening interviewWeb-based, privacy-protected, study websiteWeb-based, privacy-protected, study website
Experimental intervention8 biweekly 50-minute phone sessions8 biweekly 50-minute phone sessions8 biweekly 50-minute phone sessions8 biweekly 50-minute phone sessions plus 1 phone session visit 4 months later8 biweekly 50-min phone sessions8 biweekly 50-min phone sessions
Intervention provider qualificationsMaster's-level, licensed employee assistance program (EAP) counselorsMaster's-level, licensed EAP counselorsMaster's-level, licensed EAP counselorsVAMC doctoral-level psychologistsMaster’s-level licensed counselorMaster's-level licensed counselor
ComparatorbSecondary data on usual careUsual careUsual careVAMC integrated behavioral careUsual careUsual care
Eligibility criteria
 Age≥1818–62≥45≥18≥18≥18
 Employment≥15 hours per week≥15 hours per week≥15 hours per week≥15 hours per week, in job ≥6 months≥15 hours per week≥15 hours per week
 OtherNoneNoneNoneVA health plan enrollmentEmployer-sponsored plan enrollment >1 yearEmployer-sponsored plan enrollment
 ExclusionRetiring in ≤2 years, current or pending disability claim, pregnant, severe physical limitations, non-English speaking or readingRetiring in ≤2 years, current disability claim, current alcohol abuse or dependence or drug abuse, pregnant or 6 months postpartum, schizophrenia, bipolar disorder, diagnosed as having ≥12 potentially disabling conditions, recent bereavement, non-English speaking or readingMania or bipolar disorder, psychosis, current alcohol abuse or dependence, severe physical limitations, non-English speaking or readingBipolar disorder, psychosis, planned maternity leave, non-English speaking or readingCurrent alcohol abuse or dependence, mania, bipolar disorder, psychosisCurrent alcohol abuse or dependence, mania, bipolar disorder, psychosis
 WLQ productivity loss score in past 2 weeksc≥5%≥5%≥5%≥5%≥5%≥4%
 PHQ-9 symptom severity scored≥10≥5≥5≥5≥5≥7
Outcome metric, primary (P) or secondary (S)
 WLQ at-work productivity loss scoreePPPPPP
 Limitations in ability to perform job tasksfPPPPPP
 Productivity loss due to absencegPPPPPP
 PHQ-9 symptom severity scoredPSSPPP
 Return on investmenthSSSSSS
Postbaseline timing of follow-up measurement
 Monthly
 4 months
 6 months
 8 months
 12 months
 18 months
Data collection modalityOnline self-reportOnline self-reportOnline self-reportInterviewer-administered phone surveyOnline self-report plus phone administration of surveys for nonrespondersOnline self-report

aSome study sites included grouped customers of the health services organization.

bUsual care refers to any care obtained by the study participant, which may have included employer-sponsored health care, EAP or other services, other noncovered services, or no care. Usual care was not paid for by the study.

cWLQ, Work Limitations Questionnaire. Possible scores range from 0% to 25%, with higher scores indicating greater productivity loss.

dPossible scores on the nine-item Patient Health Questionnaire (PHQ-9) range from 0 to 27, with higher scores indicating greater severity.

eAt-work productivity loss reflects the estimated percentage difference in at-work productivity between a person (or group) completing the WLQ and an external benchmark of healthy workers.

fAs measured by the WLQ. Measure of the percentage of time the person was limited in the past 2 weeks in ability to perform job tasks (for example, time management, physical tasks, mental and interpersonal tasks, output tasks).

gBased on responses to the WLQ time loss module.

hDollars saved: cost minus benefit divided by cost.

TABLE 1. Overview of studies of Tufts Be Well at Work program

Enlarge table

TABLE 2. Baseline characteristics of Tufts Be Well at Work study populations

Study 3:Study 4:
Study 1:Study 2:Health care servicesVA medical center
Global securityState governmentgroup and individual(VAMC) behavioralStudy 5:Study 6:
company (U.S. only)employeremployershealth labState governmentAcademic medical
(15)(7)(16)(17)employercenter
CharacteristicN%N%N%N%N%N%
Enrollment data
 N screeneda1,3921,52518,1023674,670300
 Eligible2251619312.71,2276.8287782946258.3
 Eligible and enrolled in study9341794143135253881565325100
 Enrolled in intervention86925266217501395515610025100
 Enrolled in usual carena27342145011445nana
 Included in analysis76827291380882118387561976
Demographic and general medical
 Age (M±SD)44.6±9.145.6±9.454.7±6.145.7±11.648.0±1036.1
 Female47506279310723514136872288
 Non-Hispanic White869378993798813453126814756
 Married or cohabitating6166374722452nana89571040
 Bachelor’s degree or higher29368712897621768
 Annual income (median dollars and IQR)b64K35K31K21K63K40K45K40Kna58Kna60K
 ≥1 comorbid general medical conditionsc77836279375872459715197na
Depression symptoms
 PHQ-9 symptom severity score (M±SD)d13.5±4.412.8±5.214.3±5.014.5±4.812.3±5.217.5±5.0
 Ever taken an antidepressantna455733678682711272na
 Taking antidepressant2729435424156228.74529624
Presenteeism
  % of at-work productivity loss in past 2 weeks (M±SD)e9.7±4.310.2±4.110.3±4.412.3±4.79.3±4.510.8±4.1
  % of time with at-work limitations (M±SD)f
  Time management45.3±23.344.9±19.742.7±22.052.0±23.541.0±22.648.7±20.2
  Physical job tasks15.4±17.421.5±21.522.3±20.241.3±24.726.0±24.121.1±17.0
  Mental or interpersonal job tasks35.3±16.337.7±15.338.1±17.346.8±21.432.4±17.839.0±15.4
  Output tasks39.1±22.240.1±22.942.3±23.546.1±24.336.2±23.239.5±24.2
Absenteeismg
 Absence days in past 2 weeks (M±SD)2.7±1.21.5±1.61.6±2.21.8±2.42.0±2.11.12±1.9
 % productivity loss due to absence (M±SD)25.9±12.815.0±14.614.6±18.818.6±22.421.3±22.5na

aMay include duplicates because individuals were permitted to take the screener more than once.

bIQR, interquartile range for the median value.

cChosen from a list of chronic conditions, which varied in number enumerated depending on the study. Each list included an “other” response option, with space for inserting names of conditions not included in the list.

dPossible scores on the nine-item Patient Health Questionnaire (PHQ-9) range from 0 to 27, with higher scores indicating more severe depressive symptoms.

eBased on responses to the Work Limitations Questionnaire (WLQ). At-work productivity loss reflects the estimated percentage difference in at-work productivity between a person (or group) completing the WLQ and an external benchmark sample of healthy workers. Possible scores range from 0% to 25%, with higher scores indicating greater productivity loss.

fBased on WLQ scale score indicating the percentage of time the person was limited in the past 2 weeks in ability to perform job tasks (for example, time management). Possible scale scores range from 0 to 100, with higher scores indicating a greater percentage of time limited.

gBased on responses to the WLQ absence module. Productivity loss is the mean percentage of hours missed in the past 2 weeks divided by the total number of hours usually worked in that period. Possible days missed range from 0 to 14. Possible percentage productivity loss due to absence ranges from 0 to 100, with higher scores indicating greater productivity loss.

TABLE 2. Baseline characteristics of Tufts Be Well at Work study populations

Enlarge table

TABLE 3. Changes from baseline to follow-up in productivity loss and depression symptom severity, by study group

WLQ % of at-work productivity lossbPHQ-9 depression symptom severity scorec
BaselinePre-post change (M)BaselinePre-post change (M)
StudyDesigna(M)InterventionUsual care(M)InterventionUsual care
1. Global security firm (15)Observational9.7–6.4na15.5–6.5na
2. State government employer (7)RCT10.3–3.5–.313.1–5.4.6
3. Health care services group and individual employers (16)RCT10.2–4.5–1.414.4–7.3–3.7
4. VA medical center behavioral health lab (17)RCT12.4–2.1–.114.1–3.8–1.6
5. State government employerImplementation pilot9.3–3.0na12.3–6.1na
6. Academic medical centerImplementation pilot10.8–6.9na17.5–10.6na

aRCT, randomized controlled trial.

bAs measured by the Work Limitations Questionnaire (WLQ), at-work productivity loss reflects the estimated percentage difference in at-work productivity between a person (or group) completing the WLQ and an external benchmark sample of healthy workers. Possible scores range from 0% to 25%, with higher scores indicating greater productivity loss.

cPossible scores on the nine-item Patient Health Questionnaire (PHQ-9) range from 0 to 27, with higher scores indicating more severe depressive symptoms.

TABLE 3. Changes from baseline to follow-up in productivity loss and depression symptom severity, by study group

Enlarge table

The primary objective of each of the six studies was to test the effectiveness of the program and secondarily to determine whether a return on investment (ROI) was obtained. Our research objectives, as well as the study designs and methods, reflect our original vision of the intervention as a program for employees delivered through the workplace directly by employers or their service providers. Because employers as well as employees were considered key stakeholders in the outcome of the research, most of the study sites were connected to the workplace (e.g., private-sector companies and public-sector government employers and benefits administrators). Over time, as health care systems diversified their services and telephonic care became more common, we conducted two studies (studies 4 [17] and 6) within health care systems. By 2020, we had conducted one relatively large multisite, multiemployer RCT (study 3 [16]); three single-employer studies, each involving multiple decentralized work locations (studies 1 [15], 2 [7], and 5); and two single-site studies (studies 4 [17] and 6) (Table 1 presents a detailed overview).

From the outset, we were committed to both preserving the applied, real-world nature of our research, which was important to employer stakeholders, and maintaining scientific rigor, and studies were designed to have a high degree of internal validity. We placed a priority on high-quality, uniform methods of screening, randomly assigning, and sampling employees, as well as data collection, measurement, and statistical analysis.

Each study included employed adults (based in the United States) who met criteria for major depression or dysthymia or (with the adoption of DSM-5) persistent depressive disorder, had productivity loss of 5% or higher in the past 2 weeks, could read and understand English, worked at least 15 hours per week, and had no history of psychosis or bipolar disorder. Five of the six studies had a minimum age requirement of 18 (study 3 enrolled middle-aged and older employees). Eligibility criteria related to health plan or source of care were included in three studies (studies 4–6).

In five of the six studies, screening and eligibility procedures were fully web based and self-administered; study 4 required in-person and telephone screening. Several employers had specific preferences related to the intensity, timing, frequency, and content of study advertising and the use of incentives—some required us to offer screening to all employees rather than directing advertising to those with symptoms. Such open screening increased the volume of website hits and decreased site eligibility rates (Table 2) while increasing variation in rates across studies. Ultimately, we completed 26,356 screenings, 2,251 individuals met study eligibility criteria, and 1,037 enrolled. The enrollment rate for the RCTs ranged from 35% to 88%. The lower rate reflects the variety in the study involving 24 workplaces (study 3). The higher rate reflects the benefits of enrolling in an academic medical center (study 4).

Among the studies, similar screening and data collection tools were used. Every study had a core set of screening, baseline, and follow-up questionnaires, which included validated and internationally used tools, such as the PHQ-9 for depression, the WLQ for presenteeism, and the WLQ time loss module for absenteeism. The timing of study observations was consistent with baseline at preintervention and follow-up at immediately postintervention (month 4). In the study at the Veterans Affairs medical center (VAMC) (study 4 [17]), a second follow-up at study month 8 was included, and all follow-up data were collected by telephone interviewers blinded to participant treatment group.

Intervention Protocol

For the RCTs (studies 2–4 [7, 16, 17]), we used simple random sampling generally, assigning participants to the intervention or to usual care. Prior to intervening, we tested for treatment group equivalency on multiple clinical and demographic variables at baseline (preintervention). We also went the extra step of testing for group equivalence on occupational variables, such as psychosocial job demands and control, by using validated assessment metrics (34). Bias related to randomization, enrollment, and attrition was explored in detail throughout each study. In all studies, counselors were not blinded to treatment group assignment. To minimize treatment contamination, program counselors did not provide usual care.

In all RCTs, all participants could participate in usual care, although the nature of the usual care was not specified in advance and not paid for by the study. Subsequently, across studies, the usual care (whatever usual employer-sponsored health care, EAP, or other services were offered by the employer health insurer and EAP) obtained by study enrollees was highly variable, even within study sites. This variability reflects the realities of service access and use and employee preferences.

Five of the six studies used identical intervention models and each of the four components. In the VAMC study (17), care coordination was already available, and only work coaching and modification and CBT were provided as the intervention. Consistent with our general approach to real-world testing, three RCTs (studies 2–4 [7, 16, 17]) and one pilot implementation study (study 5) involved collaborations with the EAP contracted to the main collaborating organization. For example, study 2 involved the employer’s EAP in providing counselors, whereas in study 3, which involved many employers, Optum EAP supplied the study counselors.

Every study used our counselor-facing website to standardize intervention procedures. Because the counselors have some discretion in choosing specific intervention strategies, such as designing experiments for the CBT and work coaching portions, the website included several reference materials, including “Tools and Tips” containing strategies to improve functioning.

Tufts Be Well at Work Study Results

Except for the VAMC study (study 4), most participants were female (Table 2). Differences in age, race-ethnicity, and income were also reflective of the composition of the study sites. Although not shown, many different occupations were represented across the six studies.

Mean baseline PHQ-9 scores in the six studies ranged from 12.3 to 17.5 (on a scale of 0–27), indicating moderate levels of depression severity. In the RCTs, 25%−44% of participants had major depressive disorder only, 16%−50% had dysthymia or persistent depressive disorder, and 25%−40% had double depression (i.e., both). More than 50% had a history of antidepressant treatment, except in the VAMC sample (study 4), in which the rate was 27% (Table 2).

Regarding baseline occupational functioning (Table 2), the mean amount of time in the prior 2 weeks that enrollees had difficulty with time management ranged from 41.0% to 52.0%. Limitations performing physical job tasks ranged from 15.4% to 41.3%. Limitations in performing mental and interpersonal job tasks ranged from 32.4% to 46.8%. Difficulty performing output-related tasks ranged from 36.2% to 46.1%, Assuming 40 weekly work hours (80 hours over 2 weeks), occupational functioning was impaired approximately 32 to 40 hours in a 2-week period. These scores are typical of those we have observed in our other studies. On the basis of the WLQ productivity loss score algorithm, these scores translate into an estimated productivity loss at work of between 9.3% and 12.3% across studies. The mean number of days missed in the 2 weeks prior to baseline ranged from 1.1 to 2.7 days. Related productivity losses were between 15.0% and 25.9%.

Table 3 highlights the change from baseline to follow-up in outcomes and, for the RCTs, the degree to which the change differed between the intervention and the usual care groups. The specific statistical techniques included multiple regression, analysis of covariance to test for group differences, and mixed models for confirmation of effects and reporting of group differences. The non-RCTs analyzed changes from baseline to follow-up without adjustment (see table in online supplement).

In the RCTs, the adjusted mean changes in the percentage of at-work productivity loss in the intervention group were –3.5 for study 2, –4.5 for study 3, and –2.1 for study 4. In the usual care group, the mean changes in this primary endpoint were –0.3, –1.4, and –0.1, respectively (Table 3). In each RCT, the between-group differences in the changes were statistically significant. In the intervention group, the productivity gains were between 2% and 6%. In the usual care group, gains were minimal (0.3% to 1.4%).

For depression symptom severity, the adjusted mean changes in the PHQ-9 score for the intervention group were –5.4, –7.3, and –3.8 in each RCT, and in the usual care group, they were 0.6, –3.7, and –1.6, respectively (Table 3). Each of the differences in changes was statistically significant in the intervention group, demonstrating substantial improvement in PHQ-9 symptom severity (4–10 points).

In the non-RCTs (the original pilot and two implementation studies), the unadjusted mean changes in the percentage of at-work productivity loss ranged from –3.0 to –6.9. The unadjusted mean changes in depression symptom severity ranged from –6.1 to –10.6 (Table 3).

In the VAMC study (study 4), we conducted a second follow-up 4 additional months from the immediate postintervention period. Using mixed models, we found that the intervention group’s initial gain in at-work productivity loss at first follow-up did not erode at second follow-up (mean difference between the two follow-ups, −0.5; 95% confidence interval [CI]=−1.9 to 0.9, p=0.46). No significant loss was noted in the initial improvement in depression severity (mean difference between the two follow-ups, 0.6; 95% CI, −0.9 to 2.1, p=0.44).

As to whether the changes from baseline to 4 months are meaningful clinically or financially, several guideposts are useful for putting these into perspective. The improvement in symptom severity observed in the intervention groups in all studies (VAMC study 4 had smaller gains) is comparable to the reductions seen in antidepressant RCT trials that compared treatment to placebo (18, 35). For the presenteeism and absenteeism productivity parameters, a 1–percentage point productivity improvement is meaningful at group, company, and national levels. For example, a 2%−3% change in output nationally is regarded as an important indicator (36). On an employer level, if 6% of employees in a 10,000-person company with mean annual earnings of $45,000 were to have depression, a 1% improvement in productivity would generate productivity savings of $450 per employee with depression, or $270,000 companywide.

Finally, to assess ROI, we computed the intervention’s marginal benefits over those of usual care, minus the marginal program cost, divided by the marginal program cost. ROI is annualized. Marginal cost excluded website maintenance and research administrative costs. The benefit was the monetized value of the reduction in productivity loss due to presenteeism and absenteeism. Incremental benefits in productivity loss were then multiplied by median earnings to convert savings into dollars. In the three RCTs, the ROI was 5.4:1, 5.2:1, and 1.6:1. The lowest ROI was from the VAMC study (study 4), which had a smaller effect on productivity loss because of work absences and a relatively higher counselor cost (see table in online supplement). The bottom line is that the Tufts Be Well at Work program was both effective and worth the investment, particularly from the employer perspective, with a cost savings range of $671–$979 per treated employee.

Discussion

Much of the focus around psychiatric services delivery has been on individuals with identified mental disorders treated in the mental health system. We used a population-based approach, including universal screening for depression, to address the greater need of employed individuals, who seldom see mental health professionals, through a work-focused intervention (37). Our experience with the entire set of studies suggests that the Tufts Be Well at Work program is practical to implement and certainly has a place in the health care delivery system, which increasingly relies on telemental health services. As reviewed in the recent Cochrane Collaborative systematic review (27), results from the three RCTs suggest that the intervention is effective for employees with depression and deficits in occupational functioning and provides an ROI both in the workplace and in a health care system. We also have some evidence, although limited, that effects remained after the program ended. We are optimistic that we will have further studies, which will facilitate further evidence synthesis and economic analysis.

From the very beginning, we considered the importance of translating the Tufts Be Well at Work program to the workplace and working people. We were committed to moving care outside the clinical setting, making it accessible to busy people who may not have been willing or able to leave work and go to appointments. We were also aware that employer adoption of the intervention depended on making both a clinical and a business case. The business case is mainly based on cost considerations, although both payers and purchasers are becoming more interested in evidence of value that includes both treatment benefits and costs for employees and their employed dependents.

In the years between the first and last study, the employee health services landscape and patient care have changed. Workplace service offerings have become quite diversified, and companies frequently have contracts with multiple vendors, whose services have become more specialized. As a result, the EAP is no longer the only place for Tufts Be Well at Work to reach the workplace. Employers and payers have become more reliant on Internet-based mental health services, which are lower cost and relatively easy to implement and, at least in theory, offer access to care. These changes suggest that there is more opportunity for Tufts Be Well at Work to become part of a comprehensive workplace mental health care strategy. However, although many payers and purchasers can appreciate the importance of addressing occupational functioning and productivity loss, they are still bogged down by trying to reduce barriers to primary care and specialty care.

We also deliberately sought to address the concerns of a clinical audience interested in high-quality care by developing a manual-based, protocol-driven program that relies on developments in CBT, psychoeducation, patient activation, telemedicine, and, importantly, measurement-based care delivery and outcome assessment. We understood that for Tufts Be Well at Work to be disseminated and implemented, health care providers will need to appreciate both the need for such services, the effectiveness of the program for their patients, and the ease of using it. In the overburdened world of health care providers and systems generally, and during the COVID-19 pandemic specifically, this is still a challenge. However, when we started testing the program, there was no reimbursement mechanism to cover the care. Telehealth as a successful mode of behavioral treatments has slowly emerged, but until the pandemic, reimbursement for counseling was restricted by both federal and state regulations. This situation has changed, possibly making it more feasible financially to integrate Be Well at Work with patient care delivery systems.

The ability to move beyond the research arena into pilot implementation programs was strengthened by the conceptual model and study design, as well as by a primary emphasis on work outcomes as the clinical goal delivered in multiple real-world employment settings. The studies of Tufts Be Well at Work used extensively validated self-report measures of depression and work outcomes and an accessible protocol-driven intervention with careful monitoring and documentation of treatment and systematic efforts to follow up enrollees. Limitations included the reliance on self-report measures of outcomes; lack of administrative, independent work-functioning data; and the generally brief follow-up periods that did not permit observation of whether effects are long lasting. In addition, no head-to-head comparisons of our program with other programs have been conducted. Finally, we were unable to perform a formal cost-effectiveness analysis.

Conclusions

Clinical and translational research and development of Tufts Be Well at Work was not entirely a linear process of phases, with one study building upon another through several implementation phases. By necessity, we responded to available funding and collaborative opportunities in order to advance the science and practice of functional improvement for people with depression. We have learned that we can improve occupational functioning with an evidenced-based, short-term, low-cost program and provide care that is highly convenient, acceptable, and accessible to working people. The rationale and need for this program were strong before the COVID-19 pandemic. Now, with mental distress and job insecurity skyrocketing and creating additional pressures on working people, the rationale and need are even stronger. Accelerating the dissemination and sustainable implementation of high-quality, efficient care is imperative to improve the employment outlook of adults with depression.

Program on Health, Work and Productivity, Institute for Clinical Research and Health Policy Studies (Lerner, Adler, Rogers), and Departments of Psychiatry and Medicine (Lerner, Adler), Tufts Medical Center, Boston; Department of Psychiatry, University of Massachusetts Medical School, Worcester (Shayani)
Send correspondence to Dr. Adler ().

Drs. Lerner and Adler contributed equally to this article.

The six studies described here were supported by grant 5R01DP00101 from the Centers for Disease Control and Prevention; grants 5R34MH72735 and 5R01MH058243 from the National Institute of Mental Health; grant 5R01AG033125 from the National Institute on Aging; and Department of Veterans Affairs Merit Award 5101RX001132.

The authors acknowledge the contributions of the many collaborators on Tufts Be Well at Work studies, including John Allen, Ph.D., Francisca Azocar, Ph.D., Eugene W. Baker, Ph.D., Tom Blumenthal, L.I.C.S.W., Kevin Caskey, M.S.W., Hong Chang, Ph.D., Elina Cymerman, Ph.D., W. Dennis Derr, Ed.D., Rebecca Deusser, M.S., Andrea Dowdy, D.C., Gail Duncan, M.S.W., David Goehner, L.C.S.W., Annabel Greenhill, M.A., Amy Helstrom, Ph.D., Richard C. Hermann, M.D., Doris Hernandez, Margaret Hollins, M.S., Erin Ingram, B.A., Evette J. Ludman, Ph.D., Mercedes Lyson, Ph.D., William McPeck, M.S.W., David W. Oslin, M.D., and Pamella Thomas, M.D., M.P.H.,

Drs. Lerner, Adler, and Rogers are cofounders of Health and Productivity Sciences, a company with no current assets. Dr. Lerner reports owning stock in Mylan and serving as a consultant for Janssen Scientific Affairs, LLC. Dr. Adler reports receipt of grant support from Janssen Pharmaceuticals. The other authors report no financial relationships with commercial interests.

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