Skip to main content

Efficacy of team-based collaborative care for distressed patients in secondary prevention of chronic coronary heart disease (TEACH): study protocol of a multicenter randomized controlled trial

This article has been updated



Coronary heart disease (CHD) is the leading cause of death and years of life lost worldwide. While effective treatments are available for both acute and chronic disease stages there are unmet needs for effective interventions to support patients in health behaviors required for secondary prevention. Psychosocial distress is a common comorbidity in patients with CHD and associated with substantially reduced health-related quality of life (HRQoL), poor health behavior, and low treatment adherence.


In a confirmatory, randomized, controlled, two-arm parallel group, multicenter behavioral intervention trial we will randomize 440 distressed CHD patients with at least one insufficiently controlled cardiac risk factor to either their physicians' usual care (UC) or UC plus 12-months of blended collaborative care (TeamCare = TC). Trained nurse care managers (NCM) will proactively support patients to identify individual sources of distress and risk behaviors, establish a stepwise treatment plan to improve self-help and healthy behavior, and actively monitor adherence and progress. Additional e-health resources are available to patients and their families. Intervention fidelity is ensured by a treatment manual, an electronic patient registry, and a specialist team regularly supervising NCM via videoconferences and recommending protocol and guideline-compliant treatment adjustments as indicated. Recommendations will be shared with patients and their physicians who remain in charge of patients’ care. Since HRQoL is a recommended outcome by both, several guidelines and patient preference we chose a ≥ 50% improvement over baseline on the HeartQoL questionnaire at 12 months as primary outcome. Our primary hypothesis is that significantly more patients receiving TC will meet the primary outcome criterion compared to the UC group. Secondary hypotheses will evaluate improvements in risk factors, psychosocial variables, health care utilization, and durability of intervention effects over 18–30 months of follow-up.


TEACH is the first study of a blended collaborative care intervention simultaneously addressing distress and medical CHD risk factors conducted in cardiac patients in a European health care setting. If proven effective, its results can improve long-term chronic care of this vulnerable patient group and may be adapted for patients with other chronic conditions.

Trial registration: German Clinical Trials Register, DRKS00020824, registered on 4 June, 2020;

Peer Review reports


A recent survey estimates coronary heart disease (CHD) prevalence among Germans aged 40–79 years at 9.3% [1]. Despite advances in treatment, CHD is still the leading cause of death and years of life lost in Germany and worldwide, causing the largest burden of disability (DALY) [2]. In Germany it produces per year 650,000 hospitalizations and overall costs of € 6.8 billion [3]. Psychosocial distress is a major risk factor in > 25% of patients with CHD [4] impairing health-related quality of life (HRQoL), healthy lifestyles, and treatment adherence [5, 6], and thereby increasing mortality and morbidity [7].

While excellent treatments and rehabilitation programs are available for acute CHD, patients’ long-term prognosis and HRQoL are closely tied to their subsequent health behaviors [7]. However, patients and their families are often left unsupported in the task of daily managing the chronic stage of CHD (e.g., coping with illness, adhering to lifestyle changes and medication regimens), and current programs for behavior change (rehabilitation, disease management) have not shown the desired long-term effects, mainly due to lack of: timely follow-up, attention to patient preferences, and coordination with their treating physicians [8].

A meta-analysis has shown that in the U.S. depression collaborative care (CC), a team-based care strategy exclusively focusing on mood, is effective in improving depressive symptoms in CHD patients [9]. Consequently, current European guidelines recommend CC for CHD patients with coexisting depression or anxiety [7]. However, focusing primarily on depression treatment seems to confer no clear somatic benefit [9, 10]. We searched pertinent databases for published and ongoing trials providing collaborative care to CHD patients. Most relevant to our research question, the U.S. TeamCare trial, targeting both mental health and cardiovascular risk factors, showed that this “blended” CC strategy (TeamCare [TC]) can improve both conditions [11], at no or minimal extra cost [12].

In a pilot study in Göttingen (n = 40) we tested the feasibility and acceptance of a TC approach in patients with CHD in the German health care system [13, 14] For the first time in Germany, we combined the theoretical framework from U.S. trials [11, 15,16,17] with our clinical expertise from multiprofessional psychosomatic, family medicine, and cardiac rehabilitation facilities. Our pilot data showed that a brief six-month intervention significantly reduced distress and cardiac risk factor burden and 83% of patients rated their satisfaction with the study intervention as high or very high [13, 14].


Study design and objectives

TEACH is a confirmatory, randomized, controlled, two-arm parallel group, observer blind, interventional (behavioral) trial. If positive, it will confirm the efficacy of a multidisciplinary, team-based intervention addressing both medical and psychosocial risk factors delivered via the collaborative TeamCare strategy. This will close the gap in comprehensive long-term follow-up care for patients burdened by both chronic CHD and psychosocial distress by improving their HRQoL and overall treatment adherence, which then can reduce risk factor burden, morbidity and mortality.

We will randomize 440 psychosocially distressed CHD patients with at least one insufficiently controlled somatic CHD risk factor to 12 months of either (a) their physicians’ usual care (UC); or (b) UC plus TC for both distress and CHD risk factors (Fig. 1).

Fig. 1

Trial flow. CHD coronary heart disease, LDL  low density lipoprotein, HADS hospital anxiety and depression scale; PSS-4 perceived stress scale (4-item version)

Our primary hypothesis is that TC for both CHD and psychosocial distress will improve patients’ HRQoL more than their physicians’ UC for these conditions. Secondary hypotheses are that TC will improve health behaviors, treatment adherence, cardiac risk factors, mood and anxiety symptoms, and health care utilization.

Study setting and sample

We recruit from the following six German University Hospitals: Göttingen, Cologne, Bonn, Hannover, Leipzig, and Mainz, where we screen hospitalized patients aged 18–85 with CHD for psychological distress, and those who screen positive will remain eligible. Since many patients will receive cardiac rehabilitation after hospital discharge for typically 3–4 weeks, we expect that their cardiac risk factors will initially be controlled and that their distress levels will improve. However, after returning to their home environment, they are challenged with implementing health behaviors and treatment adherence into their daily routines. We will therefore re-screen all screen-positive patients three months later to ensure that they still report psychological distress, have at least one uncontrolled cardiac risk factor, and meet all other eligibility criteria. Those who continue to be eligible and give their written consent are randomized 1:1 into one of the study groups (N = 440).

Eligibility screening

We will use a stepwise screening and enrollment procedure.

Step 1: Screening at the hospital (Screen 1)

Our study nurses approach cardiac units personnel of our study hospitals to inquire about any new admissions for CHD who may be appropriate for our study. In keeping with the privacy rules, they ask hospital staff who have routine clinical contact with identified patients to request patient’s’ verbal agreement to be approached before entering their room. Study nurses then provide a brief description of our study and seek their written informed consent to undergo our screening procedure. Patients meeting all inclusion and with no exclusion criteria are then administered the 14-item Hospital Anxiety and Depression Scale (HADS) [18] and the 4-item Perceived Stress Scale (PSS-4) [19] to establish their level of psychological distress (Table 1).

Table 1 Inclusion/exclusion criteria

All eligible patients receive a brief study brochure and we inform hospital physicians of patients’ HADS/PSS-4 scores, so that they can start treatment, if indicated.

Step 2: Screening for the study (Screen 2)

After hospital discharge many German patients with CHD are enrolled in a rehabilitation program that is in most cases delivered on an inpatient basis and typically lasts several weeks. In these programs patients are instructed in general health behaviors, but often struggle to implement these in their daily routines afterwards. Hence, many continue to be at-risk for a decline in their health [8]. Therefore, we contact all patients who screened positive in hospital (Screen 1) and rescreen them via telephone to confirm that they still have at least one uncontrolled cardiac risk factor and continue to be at least moderately distressed and meet our other study eligibility criteria. If the risk factor level cannot be determined by patient self-report, we will obtain the relevant information from medical records and/or treating physicians. All patient who continue to be eligible (see Table 1) and are interested in participation in our study are then asked to come to the recruiting center.

Baseline assessment and randomization

All patients eligible for the study are invited to come to the respective recruitment center, where they sign their study consent and complete their baseline assessment. A study physician assesses patients’ detailed medical history, performs a basic medical exam (for details see Additional file 1), and records their prescribed medications (Table 2). Afterwards a study member administers the psychometric assessment. All data are pseudonymized and directly entered into our certified central SecuTrial data base via password-protected tablet computers, that are programmed with skip patterns, drop-down menus, check-off boxes, and error checking routines monitoring forms for out-of-range values and missing data. A data safety plan has been developed for ensuring data protection.

Table 2 Visit schedule and assessments


If patients continue to meet our study eligibility criteria following the baseline assessment and are still interested in participating in the study, our data management system automatically assigns patients in a 1:1 ratio stratified by study site based on permuted blocks of varying size to one of two treatments: (1) physicians’ usual care plus TC for both CHD and psychosocial distress; or (2) physicians’ usual care only (Fig. 1). Then the study personnel informs the patients of their group assignment, and if randomized to TC, they schedule the first intervention telephone call. Afterwards the project coordinator sends a letter to patients’ treating physicians to inform them of their study participation and group allotment.

Study treatments

Team care intervention

Our TC intervention is a stepwise patient-centered treatment strategy that promotes proactive, timely follow-up and support by a specifically trained nurse care manager (NCM). Intervention manual and NCM training materials are adapted from materials published in earlier studies [e.g. 11] or developed during our own previous studies [14, 15, 17]. Each recruitment center assigns at least one NCM to the intervention cohort recruited at that site. NCMs contact their patients during regular telephone or video calls to promote health behaviors crucial for CHD secondary prevention and impart skills to cope with distress.

During their first contact, the NCM assesses patient’s treatment preferences and discusses in a shared-decision making manner an individual care plan and its implementation into daily routine (e.g., blood pressure control, stress reduction, exercise). Over the course of 12 months NCMs will then support patients by: (a) monitoring symptoms, risk factors and treatment adherence; (b) assessing vitals (by self-report or direct measurement), medications, and behavioral goals and progress; (c) identifying obstacles in implementing behavior change and offering solutions; (d) connecting patients with external resources (specialists, programs for supervised exercise, smoking cessation etc., or self-help groups) to improve self-management; and (e) offering care coordination across health care providers in close collaboration with patients’ treating physicians. NCMs use psychoeducation and motivational interviewing techniques to promote patients’ adherence with care plans (Table 3).

Table 3 Overview of treatment components

Starting with existing educational materials developed for our pilot study, we also provide a patient website with relevant audiovisual health information and regularly featured tips in support of behavioral change and stress reduction that is open to all participants and their family members. Furthermore, in a password-protected internet chat room for intervention participants only we offer weekly moderated text chats with an NCM, psychologist, or TC Team (TCT) member to obtain emotional support and learn from other patients’ experiences. At the end of each weekly session, we close the chat function, but all chats remain accessible to intervention participants in read-only mode. Participants are advised to choose nicknames and not disclose any identifiable information, which we will monitor during the chats. To further enhance the TC support, we send individualized text messages and recommendations for freely available mobile applications to remind patients of desired activities (such as exercising, taking medications, etc.) and encourage adherence to the treatment plan.

During each patient contact NCMs enter all information into our electronic patient registry (EPR) that will also guide the NCM through the contacts and prompt for relevant questions based on our manual. Based on own experiences from the U.S.A. (BHB) we programed the EPR so that NCMs can easily sort their patient panel by: last contact, symptom level, risk factors, and goal progression, and will be alerted to treatment gaps or deterioration. During the first 3–4 months of the intervention phase, NCMs contact patients twice a month for typically 30 min on average, after which contacts are once a month, unless different intervals are indicated.

Case review

We hold weekly case review meetings, in two groups of 3 local NCMs each, via videoconference, where the patient panel and records are projected from the EPR. At case review meetings, each NCM presents their patients to a central TCT, consisting of a cardiologist/internist and mental health specialist. With the aid of the EPR sort function the TCT can readily review all newly randomized participants and those who continue to show insufficiently controlled risk factors or no progression in their goals. Periodically, a random sample of all patients will be discussed as a quality control measure.

The TCT (a) monitors that patients receive evidence-based treatment for both conditions, (e.g., “classical” CHD risk factors, depression); (b) makes guideline-based treatment recommendations, if necessary; and (c) assists the NCMs in addressing treatment barriers. Recommendations may include but are not limited to (i) brief behavioral interventions delivered either by the NCM, through electronic media (e.g., our study website), or bibliotherapy, (ii) initiation or adjustment of medications by the treating physician, (iii) referral to external resources (Table 3).

Following each case review, the NCMs contact their patients to relay the treatment recommendations and later to assess the clinical response. The NCMs also work closely with the patients’ treating physicians and ensure that patients keep all appointments, pick up their prescriptions, and follow other treatment agreements. The NCMs regularly update the treating physician(s) about the patient’s treatment progress, TCT recommendations, and alert him/her, if any concerning or safety issues arise. The treating physician remains the primary care provider who adjusts the treatment including adjustment of medications and/or referral to specialty cardiac or mental health care, while the NCM supports the treatment implementation (Table 3).

Usual care (UC)

A study member informs all participants randomized to the UC group of their assignment status at the conclusion of their in-person baseline assessment and provides a leaflet summarizing their individual psychosocial, behavioral, and medical risk factor status together with relevant sections of the current German patient guideline for chronic CHD patients [20]. They also send a letter to their treating physician indicating their patients’ study assignment and encouraging a follow-up appointment to discuss the patient's insufficiently controlled cardiac risk factors and elevated level of distress. Beyond that, UC patients continue to receive care at the discretion of their physicians (Table 3).

Follow-up assessments and outcomes

At 12- (end of treatment) and 18-months after randomization participants are invited to come to their recruitment center, where a study physician and a study assessor blinded to participants’ randomization status administer the medical and psychometric assessment batteries. All patients are followed for a minimum of 18 months, 6 months after the completion of our TC, in order to document sustainability of our intervention. In addition, centrally located, blinded assessors will administer self-report psychometric and medical questionnaires via telephone or video call 6 months after randomization. and every 6 months after the 18-month assessment until the end of the trial, if applicable (Table 2). Study personnel will enter all data collected during assessments directly into our SecuTrial database as described in 2.3.

At every in-person assessment (baseline, 12-, 18-months) we will collect blood and urine samples to determine risk factors, such as LDL HbA1c, and cotinine. Blood and urine samples will be centrifuged, aliquoted and stored at − 80 °C for central analysis before the end of the trial. Samples may be stored for up to ten years and will be disposed of afterwards. Details on the biological specimen handling, storage and shipping are described in our Biological Specimen Handling Manual.

To guide the TC treatment, open assessments of risk factors are performed for intervention patients at baseline and at least once during the intervention period, either by review of routine medical assessments by treating physician(s) or—if no current records are available—by the study center.

Primary outcome

Quality of life is a widely recognized outcome, especially for chronic conditions. Indeed, recent German treatment guidelines for CHD patients recommend HRQoL as a primary outcomes goal [21], and we confirmed in a meeting with a local self-help group of cardiac patients that HRQoL coincides with their preference as an outcome. Furthermore, as there is not a single measure that assesses both our target conditions, CHD and distress, HRQoL can serve as a global measure of health. Therefore, our primary hypothesis is that compared to UC more patients in our TC intervention group will report a clinically meaningful improvement in HRQoL at 12-months.

The HeartQoL questionnaire [22] assesses HRQoL for patients with CHD, thus allowing to measure overall treatment response for our multimorbid population. It is a 14-item self-rating instrument that is proven reliable, valid, and responsive to change across various CHD populations, including the German version used in our study [23]. In the survey from de Smedt et al. [23], 7,449 patients completed the HeartQoL questionnaire with an excellent internal consistency for the global HeartQoL scale (Cronbach's alpha α = 0.92) and the physical subscale (α = 0.91), as well as good internal consistency for the emotional subscale (α = 0.87). We defined response to treatment as ≥ 50% increase in HeartQoL score (mean of 14 items scored 0–3, range 0–3) (i.e. (score12 months-scorebaseline)/(3-scorebaseline) ≥ 50%).

Secondary outcomes

Our main secondary outcome measure is a composite medical risk factor score based on current European Society of Cardiology (ESC) cardiovascular prevention guidelines [7]. Composite risk factor scores have been used in previous intervention research aiming to reduce risk factor burden (e.g., [11, 59]), and different ways for computing such scores (e.g. by weighting) have been proposed. Established scores such as the ESC SCORE [7] or the PROCAM score [24] have only been validated for individuals without known CHD, thus rendering all CHD patients as uniformly high risk. Therefore, Katon et al. [11] computed a composite measure by means of a multivariate scaled marginal model, where each outcome measure is scaled by its standard error. However, that model requires continuous data and does not seem to be feasible for the risk factors of interest in our trial. We will therefore use dichotomous data based on either presence vs. absence of a risk factor (e.g. smoking) or sufficient vs. insufficient control according to the ESC guideline. In accordance with Khaw et al. [25], our score will be computed as a sum (range 0–5) of the following most important, modifiable but often insufficiently controlled CHD risk factors: (1) Blood pressure > = 140/90 mmHg; (2) LDL-cholesterol > = 70 mg/dl; (3) current smoking; (4) HbA1c > = 7.0%; (5) physical inactivity as defined: < 150 min. of moderate or < 75 min. of vigorous physical activity per week.

Additional secondary endpoints include change in body mass index, medical events, health care utilization, and use of evidence-based medications. Disease-relevant health behaviors (e.g., physical activity, smoking, medication adherence) are assessed by self–report and objective measures (e.g. electronic activity trackers, cotinine in urine samples).

To further examine the impact of distress and mental health on patients’ outcomes, we will (a) explore patients’ change in HADS and PSS-4 scores across the time from hospitalization to end of study and (b) further assess their psychosocial risk and well-being with validated instruments (Table 4).

  • HADS

  • The Hospital Anxiety and Depression Scale (HADS) [18, 26] assesses the severity of anxiety and depressive symptoms in physically ill patients. It is a self-rating instrument on a four-step Likert-Scale with 14 items, with higher scores signifying increased severity. The German version has been validated in several large samples of cardiac patients, mainly with coronary artery disease (e.g. [27,28,29]), is equivalent to the original English version [26], and norms are available for these patients. In a review of 747 studies using the HADS for different purposes, Bjelland et al. [30] found a mean Cronbach’s alpha of 0.82 for the subscale “anxiety” and of 0.83 for the subscale “depression”. For the inclusion criteria of elevated distress in our study, we define the relevant cut-off at a total score > 12 (range 0–21), which is expected to detect even mild symptomatology as this has already been shown to be prognostically relevant [18].

  • PSS-4.

  • The PSS-4 [31] is the short version of the well-established Perceived Stress Scale (PSS; [32]) that measures subjectively perceived distress. To assure equal validity in the German sample, the items are drawn from the German version of the PSS-10 [33], which yielded good psychometric properties equivalent to the original version. The items are answered on a 5-step frequency scale (range 0–16), where a higher score reflects the respondent’s perception that the demands exceed his/her ability to cope. For the present study we define a relevant screening cut-off score > 5 for defining elevated distress as we did in our pilot study [14].

  • All outcomes will be assessed in all participants at baseline, month 12 (primary endpoint) and month 18. Selected self-report variables will additionally be assessed at month 6, and later until the end of the trial, i.e. after 24 months and 30 months in patients included during the early phase of the trial to test sustainability. We will track cardiac events and all-cause mortality by self-report, discharge notes, and death certificates, and document hospitalizations, numbers of outpatient visits, medication, and disability/return to work or early retirement for later cost-effectiveness analyses.

Table 4 List of assessment instruments

Trial status

Prescreening for the TEACH Trial has started in August 2020 and enrollment in the main trial has started in November, 2020.

Data safety monitoring

An independent Data Safety Monitoring Committee (DSMC) reviews a defined data set in regular intervals and evaluates whether patient safety is ensured and whether the conduct of the trial complies with ethical requirements. Regular on-site monitoring by the UMG Clinical Trials Unit ensures compliance of study conduct with all applicable regulatory and ethical standards. The work of the DSMC is governed by a DSMC charter.

Furthermore, the study coordinating team will generate up-to-date administrative reports by the data management system to monitor: (1) trial enrollment by study center; (2) NCMs’ caseloads; (3) rates of follow-up assessments; (4) missed study assessments so that patients may be recontacted; (5) patients’ clinical status for data safety monitoring purposes; and (6) potential protocol deviations that the study investigators review at staff meetings as appropriate.

Adverse events

Our blinded assessors inquire routinely about any adverse events (e.g. emergency room visits, hospitalizations, mental health visits) participants may have experienced since their past assessment. Since TEACH does not test any medicinal product or medical device, we decided to define attempted suicide, acute coronary syndrome, or death as serious adverse events of special interest requiring immediate notification of the coordinating investigator. Adverse events reported during care management are also documented.

In case the participant’s adverse event warrants medical attention, the assessors and NCMs will follow our standard operating procedures to initiate emergency care, to encourage participants to seek professional help, or to provide information about local emergency care or mental health resources.

All severe adverse events of special interest are reviewed by the coordinating investigator and reported to the DSMC.

An insurance will cover any accidents occurring to patients while attending scheduled trial visits.

Statistical analysis

The primary analysis is based on the intention to treat with no exclusions (full analysis set). The odds of responding to treatment (i.e. ≥ 50% increase in HRQoL from baseline to month 12) are compared between treatment groups (TC vs. UC) by the Mantel–Haenszel test stratified by study site. Heterogeneity of the common odds ratio over strata is evaluated by the Breslow-Day test. A missing response status is counted as failure. Numbers needed to treat are derived from the Mantel–Haenszel odds ratio. Analysis of all subjects who were essentially treated and observed per protocol (PP set) is supportive.

Moreover, the main outcome measure “change in HeartQoL global scale from baseline to month 12” is evaluated by mixed model for repeated measures (MMRM) with fixed effects baseline, study site, treatment, time and the interaction treatment*time (ARH1-structured covariance matrix over time) and estimation of corresponding marginal means and treatment contrasts. It will be expressed in absolute values and in relation to minimal clinically important differences (MCID). The possibly moderating influence of study site, age, sex, disease severity (number of diseased coronary arteries, history of myocardial infarction, CCS and NYHA classes, baseline distress level), and risk factor burden is explored. Since mixed models can be expected to yield valid results only in case of missingness-at-random, multiple imputation approaches are taken to assess the robustness of the results. Specifically, missing values due to death, illness, or chance are separately imputed assuming mixtures of missingness-not-at-random patterns. Imputation data sets are post-processed by multiplication with factors and addition of offsets (tipping point analysis [55]). The influence of clustering of subjects by care providers (particularly in TC) is investigated by multilevel modeling [56].

Secondary outcomes are analyzed along the same lines. The count of present dichotomous risk factors over time is analyzed by means of generalized estimating equations (GEE). Moreover, a resampling approach for the analysis of correlated multiple endpoints is taken, e.g. as recently described by Ristl et al. [57]. Time-to-event (e.g., survival) distributions are summarized by the Kaplan–Meier method and compared by the (stratified) log-rank test. Since mortality rates will be low only small survival differences are expected to emerge during the trial. A subgroup analysis will be done by sex (expected male to female ratio about 2:1 [11]). Adverse events will be aggregated by category (e.g., MedDRA) and listed.

Sample size calculation

Katon et al. [11] observed in their TeamCare Trial proportions for the response to treatment of 60% (intervention group) and 30% (control group), respectively, for ≥ 50% decrease in depression score. Thus, assuming a ≥ 50% increase in HRQoL on the HeartQoL score, we expect response proportions of 50% (TC) and 35% (UC), i.e. a difference of 15% absolute. The chi-square test requires 170 subjects per group to detect this difference with a power of 80% and a two-sided type-I-error of 5% (Stata/SE 16.1, StataCorp LLC, College Station, TX, USA). Similar to Katon et al. [11] we expect a standardized effect of at least 0.3 in favor of TC. The two-sample t-test requires 176 subjects per group to reach an 80% power at a two-sided type-I-error of 5%. Accounting for 15% attrition and (partial) therapist clustering [56] in TC (+ 5%), 220 (≈176/0.8) patients need to get randomized per group, i.e. 440 subjects in total. Adjusting for baseline in a mixed model for repeated measures (MMRM) approach is likely to further increase the statistical power.


One of the major challenges in chronic care is the sustainable implementation of complex treatment regimens for patients with multiple chronic diseases. Indeed, 80% of patients with CHD, one of the most prevalent chronic conditions, report three or more chronic conditions, substantially impacting their HRQoL [58]. Specifically patients with comorbid psychosocial distress are especially challenged with the implementation of healthy behaviors into their daily lives [59]. Although collaborative care programs have been shown effective in improving HRQoL and symptoms in chronic conditions, it would be impractical to deploy separate collaborative care treatments for each condition.

TEACH is the first randomized clinical trial to evaluate the effectiveness of a “blended” strategy of collaborative care (TC) for treating both CHD and emotional distress in a European health care system. If proven effective, it will not only improve care for distressed patients with CHD, but serve as a benchmark for a treatment strategy of other clusters of chronic medical conditions.

We designed our TC intervention to be easily integrated into routine care for CHD by: (1) screening patients in hospital by two brief and well accepted instruments; (2) confirm the positive screen 3-months after their hospital discharge as persistent distress increases risk in CHD patients; [60] (3) delivery of intervention via telephone or video calls; (4) providing regular follow-up and motivational support calls; (5) deploying a shared decision technique to allow for patients’ treatment preferences; (6) promoting delivery of guideline-recommended care for the target conditions; and (7) coordinating care across patients’ physicians. Our NCMs are supervised by a multidisciplinary team of study physicians and psychologists who discuss patients’ progress at weekly case review meetings and make treatment recommendations, if necessary that are related to patients’ treating physicians who remain responsible for their patient’s treatment. Innovative to our study design is the incorporation of a patients website to promote patients self-management by using its educational tools and exchange experiences with other patients in the weekly chat room. Furthermore, we will also use short text messages to remind patients of upcoming appointments or regular health behaviors (e.g., blood pressure check, weighing) to promote their adherence.

Our TEACH study design has several limitations. We focused our primary hypothesis on HRQoL and not on differences in morbidity or mortality. Nevertheless, we collect data on major clinical events to inform future larger trials to establish TC’s impact on “hard” clinical outcomes. Second, we require patients to have moderate levels of emotional distress (HADS > 12 or PSS > 5) as they have been shown to impact CHD (e.g., [61, 62]). However, patients with an even lower distress level may also benefit from an intervention. Third, as many CHD patients in the German health care typically participate in a rehabilitation program post hospital discharge, we rescreen patients after 3 months to identify those at continued risk, which may delay care for patients who would have benefitted from a more specific early intervention. Fourth, it will need to be tested how our intervention needs to be modified for use in other health care systems.

The TEACH trial will provide trial-derived evidence on whether a nurse-led and telephone-delivered “blended” collaborative care intervention (TC) for treating both CHD and emotional distress can be provided at scale at multiple German hospitals and is more effective at improving clinical outcomes than physicians’ standard care for these conditions.

Availability of data and materials

Research data will be stored, managed and monitored at the UMG. The anonymized original data set will be published in a certified data repository for future use after completion of the trial and acceptance of the primary results publication. The study steering committee will form a subgroup for approving requests from external researchers to access the data.

Change history

  • 23 December 2020

    The original publication was missing the supplementary file. The article has been updated to include this file.



Adverse event


Bundesministerium für Bildung und Forschung (German Ministry for Education and Research)


Blood pressure


Collaborative care


Coronary heart disease


Data Safety Monitoring Commitee


End of treatment


Electronic patient registry


European Society of Cardiology




Hospital Anxiety and Depression Scale


Haemoglobin A1c


Health-related quality of life


Institute for Medical Statistics and Bioinformatics


Low density lipoprotein


Nurse care manager


Short version of perceived stress scale


Randomized controlled trial


Team care (intervention)


TeamCare Team


Usual care (standard medical care)


Universitätsmedizin Göttingen (University of Göttingen Medical Center)


World Health Organisation


  1. 1.

    Gößwald A, Schienkiewitz A, Nowossadeck E, Busch MA. Prävalenz von Herzinfarkt und koronarer Herzkrankheit bei Erwachsenen im Alter von 40 bis 79 Jahren in Deutschland. Bundesgesundheitsbl. 2013;56:650–5.

    Google Scholar 

  2. 2.

    WHO Health statistics and information systems. Estimates for 2000–2016. Accessed 1/25/2019.

  3. 3.

    Statistisches Bundesamt. Krankheitskostenrechnung, Table 23631-0001. 2018 Accessed 01/25/2019.

  4. 4.

    Herrmann-Lingen C, Beutel ME, Bosbach A, Deter HC, Fritzsche K, Hellmich M, Jordan J, Jünger J, Ladwig KH, Michal M, Petrowski K, Pieske B, Ronel J, Söllner W, Stöhr A, Weber C, de Zwaan M, Albus C; SPIRR-CAD Study Group. A Stepwise Psychotherapy Intervention for Reducing Risk in Coronary Artery Disease (SPIRR-CAD)—Results of an observer-blinded, multicenter, randomized trial in depressed patients with CAD. Psychosom Med. 2016;78:704–15.

  5. 5.

    Crawshaw J, Auyeung V, Norton S, Weinman J. Identifying psychosocial predictors of medication non-adherence following acute coronary syndrome: a systematic review and meta-analysis. J Psychosom Res. 2016;90:10–32.

    PubMed  Google Scholar 

  6. 6.

    Sin NL, Kumar AD, Gehi AK, Whooley MA. Direction of association between depressive symptoms and lifestyle behaviors in patients with coronary heart disease: the heart and soul study. Ann Behav Med. 2016;50:523–32.

    PubMed  PubMed Central  Google Scholar 

  7. 7.

    Piepoli MF, Hoes AW, Agewall S, Albus C, Brotons C, Catapano AL, Cooney MT, Corrà U, Cosyns B, Deaton C, Graham I, Hall MS, Hobbs FDR, Løchen ML, Löllgen H, Marques-Vidal P, Perk J, Prescott E, Redon J, Richter DJ, Sattar N, Smulders Y, Tiberi M, van der Worp HB, van Dis I, Verschuren WMM, Binno S. 2016 European Guidelines on cardiovascular disease prevention in clinical practice. Eur Heart J. 2016;2016(37):2315–81.

    Google Scholar 

  8. 8.

    Mittag O, Schramm S, Böhmen S, Hüppe A, Meyer T, Raspe H. Medium-term effects of cardiac rehabilitation in Germany: systematic review and meta- analysis of results from national and international studies. Eur J Cardiovasc Prev Rehabil. 2011;18:587–93.

    PubMed  Google Scholar 

  9. 9.

    Tully PJ, Baumeister H. Collaborative care for comorbid depression and coronary heart disease: a systematic review and meta-analysis of randomized controlled trials. BMJ Open. 2015;5:e009128.

    PubMed  PubMed Central  Google Scholar 

  10. 10.

    Carney RM, Freedland KE, Steinmeyer BC, Rubin EH, Ewald G. Collaborative care for depression symptoms in an outpatient cardiology setting: a randomized clinical trial. Int J Cardiol. 2016;219:164–71.

    PubMed  PubMed Central  Google Scholar 

  11. 11.

    Katon WJ, Lin EH, Von Korff M, Ciechanowski P, Ludman EJ, Young B, Peterson D, Rutter CM, McGregor M, McCulloch D. Collaborative care for patients with depression and chronic illnesses. N Engl J Med. 2010;363:2611–20.

    CAS  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Katon WJ, Russo J, Lin EH, Schmittdiel J, Ciechanowski P, Ludman E, Peterson D, Young B, Von Korff M. Cost-effectiveness of a multicondition collaborative care intervention. Arch Gen Psychiatry. 2012;69:506–14.

    PubMed  Google Scholar 

  13. 13.

    Fangauf SV, Herrmann-Lingen C, Belnap BH. Ganzheitliche Langzeitbehandlung bei koronarer Herzkrankheit durch TeamCare. Machbarkeit im Rahmen des deutschen Gesundheitssystems. Psychotherapeut 2017;62:528–36.

  14. 14.

    Bosselmann L, Fangauf SV, Herbeck Belnap B, Chavanon ML, Nagel J, Neitzel C, Schertz A, Hummers E, Wachter R, Herrmann-Lingen C. Blended collaborative care in the secondary prevention of coronary heart disease improves risk factor control: results of a randomized feasibility study. Eur J Cardiovasc Nurs. 2020;19:134–41.

    PubMed  Google Scholar 

  15. 15.

    Rollman BL, Herbeck Belnap B, LeMenager MS, Mazumdar S, Houck PR, Counihan PJ, Kapoor WN, Schulberg HC, Reynolds CF 3rd. Telephone-delivered collaborative care for treating post-CABG depression: a randomized controlled trial. JAMA. 2009;302:2095–103.

    CAS  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Davidson KW, Rieckmann N, Clemow L, Schwartz JE, Shimbo D, Medina V, Albanese G, Kronish I, Hegel M, Burg MM. Enhanced depression care for patients with acute coronary syndrome and persistent depressive symptoms: coronary psychosocial evaluation studies randomized controlled trial. Arch Intern Med. 2010;170:600–8.

    PubMed  PubMed Central  Google Scholar 

  17. 17.

    Herbeck Belnap B, Anderson A, Abebe KZ, et al. Blended collaborative care to treat heart failure and comorbid depression: rationale and study design of the hopeful heart trial. Psychosom Med. 2019;81:495–505.

    PubMed  Google Scholar 

  18. 18.

    Herrmann-Lingen C, Buss U, Snaith R.P. HADS-D. Hospital anxiety and depression scale—Deutsche Version. Deutsche Adaptation der Hospital Anxiety and Depression Scale (HADS) von R. P. Snaith und A. S. Zigmond. 4. Aktualisierte Auflage. Bern: Hogrefe; 2018

  19. 19.

    Warttig SL, Forshaw MJ, South J, White AK. New, normative, English-sample data for the Short Form Perceived Stress Scale (PSS-4). J Health Psychol. 2013;8:1617–28.

    Google Scholar 

  20. 20.

    Bundesärztekammer (BÄK), Kassenärztliche Bundesvereinigung (KBV), Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften (AWMF). Chronische Koronare Herzkrankheit: KHK. Patientenleitlinie zur Nationalen VersorgungsLeitlinie, 3. Auflage. Version 1. 2019b. Accessed: 02.09.2020.

  21. 21.

    Bundesärztekammer, Kassenärztliche Bundesvereinigung (KBV), Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften (AWMF). Nationale Versorgungsleitlinie Chronische KHK—Langfassung, 5. Auflage,. 2019. Accessed: 2020/01/10.

  22. 22.

    Oldridge N, Höfer S, McGee H, Conroy R, Doyle F, Saner H. The HeartQoL: Part II. Validation of a new core health-related quality of life questionnaire for patients with ischemic heart disease. Eur J Prevent Cardiol. 2014;21:98–106.

  23. 23.

    De Smedt D, Clays E, Höfer S, Oldridge N, Kotseva K, Maggioni AP, Janssen B, De Bacquer D; EUROASPIRE Investigators. Validity and reliability of the HeartQoL questionnaire in a large sample of stable coronary patients: The EUROASPIRE IV Study of the European Society of Cardiology. Eur J Prev Cardiol. 2016;23:714–21.

  24. 24.

    Assmann G, Cullen P, Schulte H. Simple scoring scheme for calculating the risk of acute coronary events based on the 10-year follow-up of the prospective cardiovascular Münster (PROCAM) study. Circulation. 2002;105:310–5.

    PubMed  Google Scholar 

  25. 25.

    Khaw KT, Wareham N, Bingham S, Welch A, Luben R, Day N. Combined impact of health behaviours and mortality in men and women: the EPIC-Norfolk prospective population study. PLoS medicine. 2008;5(1):e12.

    PubMed  PubMed Central  Google Scholar 

  26. 26.

    Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67:361–70.

    CAS  PubMed  Google Scholar 

  27. 27.

    Herrmann C. International experiences with the Hospital Anxiety and Depression Scale—a review of validation data and clinical results. J Psychosom Res. 1997;42:17–41.

    CAS  PubMed  Google Scholar 

  28. 28.

    Barth J, Martin C.R. Factor structure of the Hospital Anxiety and Depression Scale (HADS) in German coronary heart disease patients. Health Qual Life Outcomes. 2005;3:15.

  29. 29.

    Hinz A, Zweynert U, Kittel J, Igl W, Schwarz R. Measurement of change with the hospital anxiety and depression scale (HADS): sensitivity and reliability of change. Psychother Psychosom Med Psychol. 2008;59:394–400.

    PubMed  Google Scholar 

  30. 30.

    Bjelland I, Dahl AA, Haug TT, Neckelmann D. The validity of the Hospital Anxiety and Depression Scale. An updated literature review. J Psychosom Res. 2002; 2:69–77.

  31. 31.

    Ingram PB, Clarke E, Lichtenberg JW. Confirmatory factor analysis of the perceived stress scale-4 in a community sample. Stress Health. 2016;32:173–6.

    PubMed  Google Scholar 

  32. 32.

    Cohen S, Kamarck T, Mermelstein R. A global measure of perceived stress. J Health Soc Behav. 1983;24:385–96.

    CAS  PubMed  PubMed Central  Google Scholar 

  33. 33.

    Klein E. M, Brähler E, Dreier M, Reinecke L, Müller K.W, Schmutzer G, Wölfling K, Beutel, M.E. The German version of the Perceived Stress Scale–psychometric characteristics in a representative German community sample. BMC psychiatry. 2016;16:159.

  34. 34.

    ENRICHD Investigators. Enhancing Recovery in Coronary Heart Disease Patients (ENRICHD). Study design and methods. Am Heart J. 2000;139:1–9.

  35. 35.

    Cordes A, Herrmann-Lingen C, Büchner B, Hessel A. Repräsentative Normierung des ENRICHD-Social-Support-Instrument (ESSI)—Deutsche Version. Klin Diagnostik Eval. 2009;2:16–32.

    Google Scholar 

  36. 36.

    Sorensen K, Van den Brouke S, Fullam J, Doyle G, Pelikan J, Slonska, Z, Brand H, for the HLS-EU Consortium Health Literacy Project Europe. Health Literacy and Public Health: A systematic Review and integration of definition and models. BMC Public Health 2012;12:80.

  37. 37.

    Röthlin F, Pelikan J.M, Ganahl K. Die Gesundheitskompetenz der 15-jährigen Jugendlichen in Österreich. Abschlussbericht der österreichischen Gesundheitskompetenz Jugendstudie im Auftrag des Hauptverbands der österreichischen Sozialversicherungsträger (HVSV). 2013. Accessed 03/03/2020

  38. 38.

    Fraley RC, Shaver PR. Adult romantic attachment: theoretical developments, emerging controversies, and unanswered questions. Rev Gen Psychol. 2000;4:132–54.

    Google Scholar 

  39. 39.

    Ehrenthal JC, Dinger U, Lamla A, Funken B, Schauenburg H. Evaluation der deutschsprachigen Version des Bindungsfragebogens “Experience in close relationship- Revised” (ECR-RD). Psychother Psychosom Med Psychol. 2008;59:215–23.

    PubMed  Google Scholar 

  40. 40.

    Wagnild GM, Young HM. Development and psychometric evaluation of the resilience scale. J Nurs Measure. 1993;1:165–78.

    CAS  Google Scholar 

  41. 41.

    Leppert K, Koch B, Brähler E, Strauß B. Die Resilienzskala (RS)—Überprüfung der Langform RS-25 und einer Kurzform RS-13. Klin Diagnost Eval. 2008;1:226–43.

    Google Scholar 

  42. 42.

    Kissane DW, Wein S, Love A, Lee XQ, Kee PL, Clarke DM. The demoralization scale: a report of its development and preliminary validation. J Palliat Care. 2004;20:269–76.

    PubMed  Google Scholar 

  43. 43.

    Mehnert A, Vehling S, Höcker A, Lehmann C, Koch U. Demoralization and depression in patients with advanced cancer: validation of the German version of the demoralization scale. J Pain Sympt Manage. 2011;42:768–76.

    Google Scholar 

  44. 44.

    Eifert GH, Thompson RN, Zvolensky MJ, Edwards K, Frazer NL, Haddad JW, Davig J. The cardiac anxiety questionnaire: development and preliminary validity. Behav Res Ther. 2000;38:1039–53.

    CAS  PubMed  Google Scholar 

  45. 45.

    Hoyer J, Eifert GH (2004). Herzangstfragebogen (HAF-17)—überarbeitete deutsche Version. Accessed 03/03/2020

  46. 46.

    Einsle F, Köllner V, Herzberg P, Bernardy K, Nitschke-Bertaud M, Dannemann S, Hoyer J. Psychometrische Analysen zum Herzangstfragebogen Verhaltensther Verhaltensmed. 2009;30:439–57.

    Google Scholar 

  47. 47.

    Spertus JA, Winder JA, Dewhurst TA, Deyo RA, Fihn SD. Monitoring the quality of life in patients with coronary artery disease. Am J Cardiol. 1994;74:1240–4.

    CAS  PubMed  Google Scholar 

  48. 48.

    Höfer S, Benzer W, Schüßler G, von Steinbüchel N, Oldridge NB. Health-related quality of life in patients with coronary artery disease treated for angina: validity and reliability of German translations of two specific questionnaires. Qual Life Res. 2003;12:199–212.

    PubMed  Google Scholar 

  49. 49.

    Glombiewski JA, Nestoriuc Y, Rief W, Glaesmer H, Braehler E. Medication adherence in the general population. PLoS ONE. 2012;7:e50537.

    CAS  PubMed  PubMed Central  Google Scholar 

  50. 50.

    Horvath AO, Greenberg LS. The development of the Working Alliance Inventory. In: Greenberg LS, Pinsof WM, editors. The psychotherapeutic process: a research handbook. New York, NY: Guilford; 1986. p. 529–56.

    Google Scholar 

  51. 51.

    Wilmers F, Munder T, Leonhart R, Herzog T, Plassmann R, Barth J, Linster HW. Die deutschsprachige Version des Working Alliance Inventory—short revised (WAI-SR)—Ein schulenübergreifendes, ökonomisches und empirisch validiertes Instrument zur Erfassung der therapeutischen Allianz. Klin Diagnost Eval. 2008;1:343–58.

    Google Scholar 

  52. 52.

    Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exer. 2003;35:1381–95.

    Google Scholar 

  53. 53.

    Ehrenthal JC, Dinger U, Schauenburg H, Horsch L, Dahlbender RW, Gierk B. Entwicklung einer Zwölf-Item-Version des OPD-Strukturfragebogens (OPD-SFK). Z Psychosom Med Psychother. 2015;61:262–74.

    PubMed  Google Scholar 

  54. 54.

    Ehrenthal JC, Düx A, Baie L, Burgmer M. Levels of personality functioning and not depression predict decline of plasma glucose concentration in patients with type 2 diabetes mellitus. Diab Res and Clin Pract. 2019;15:106–13.

    Google Scholar 

  55. 55.

    Sv B. Flexible imputation of missing data. Boca Raton, FL: CRC Press; 2012.

    Google Scholar 

  56. 56.

    Roberts C, Roberts SA. Design and analysis of clinical trials with clustering effects due to treatment. Clinical trials. 2005;2:152–62.

    PubMed  Google Scholar 

  57. 57.

    Ristl R, Urach S, Rosenkranz G, Posch M. Methods for the analysis of multiple endpoints in small populations: A review. J Biopharm Stat. 2019;29:1–29.

    PubMed  Google Scholar 

  58. 58.

    Murray MIK, Thalmann IN, Mossialos EA, Zeiher AM. Comorbidities of coronary heart disease and the impact on healthcare usage and productivity loss in a nationally-based study. Epidemiology (Sunnyvale). 2018;8:347.

    Google Scholar 

  59. 59.

    Katon W, Lin EH, Von Korff M, Ciechanowski P, Ludman E, Young B, Rutter C, Oliver M, McGregor M. Integrating depression and chronic disease care among patients with diabetes and/or coronary heart disease: the design of the TEAMcare study. Contemp Clin Trials. 2010;31:312–22.

    PubMed  PubMed Central  Google Scholar 

  60. 60.

    Stewart RAH, Colquhoun DM, Marschner SL, Kirby AC, Simes J, Nestel PJ, Glozier N, O'Neil A, Oldenburg B, White HD, Tonkin AM; LIPID Study Investigators. Persistent psychological distress and mortality in patients with stable coronary artery disease. Heart. 2017;103:1860–6.

  61. 61.

    Arnold SV, Smolderen KG, Buchanan DM, Li Y, Spertus JA. Perceived stress in myocardial infarction: long-term mortality and health status outcomes. J Am Coll Cardiol. 2012;60:1756–63.

    PubMed  PubMed Central  Google Scholar 

  62. 62.

    Barth J, Schumacher M, Herrmann-Lingen C. Depression as a risk factor for mortality in patients with coronary heart disease: a meta-analysis. Psychosom Med. 2004;66:802–13.

    PubMed  Google Scholar 

Download references


The authors wish to thank Prof. Bruce L. Rollman, University of Pittsburgh Medical Center, for reviewing a draft version of the study protocol. We acknowledge support by the Open Access Publication Funds of the University of Göttingen.

Role of funders and legal sponsor in study design

The funder has suggested changes to the initial trial concept based on the results of the competitive peer-review process. The legal sponsor has been involved in the development of the study design by providing expert advice through its Clinical Trials Unit. The sponsor did not influence study design and will not influence the collection, management, analysis, and interpretation of data; writing of the report; and the decision to submit the report for publication. The ultimate authority over any trial-related issues remains with the trial steering committee.

Trial governance

TEACH is coordinated at the University of Göttingen Medical Center (UMG) and supported by the UMG clinical trials unit (RT), where all data are hosted and managed. It is governed by a trial steering committee, consisting of the coordinating investigator (CH-L), the medical coordinator (MS), the psychological PI (BHB), the biostatistician (MH), and the local investigators at the participating sites (CA, FG, MM, RW, MdZ).

Data Safety and Monitoring Committee (DSMC)

The DSMC consists of the following independent members: Prof. Frank Konietschke, Berlin (biostatistics). Prof. Susanne S. Pedersen, Odense (cardiac psychology). Prof. Anna Ratzliff, Seattle (collaborative care).


Open Access funding enabled and organized by Projekt DEAL. This trial is funded by a grant from the German Ministry for Education and Research (BMBF #01KG2011, PI: C. Herrmann-Lingen), allocated after competitive international peer review. The University of Göttingen Medical Center serves the legal role of a study sponsor.

Author information




CHL has developed the overall study concept, together with BHB, CA, and MH. CHL and BHB have drafted the text of the study protocol with support from RT, MH, and KH. The draft manuscript was reviewed by all authors and discussed during telephone and videoconferences and comments from all authors were taken up and integrated. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Christoph Herrmann-Lingen.

Ethics declarations

Ethics approval and consents to participate

This study protocol, Version 1.0, was approved by the Ethics Committee of the University of Göttingen Medical Center (#31/4/20) and all participating sites, i.e. the Ethics Committees at the Universities of Bonn (#347/20), Cologne (#20-1397_1), and Leipzig (#363/20-lk), the Medical University of Hannover (#9253_BO_K_2020), and the Medical Association of Rhineland-Palatinate (#2020-15252_1). Patient recruitment only started after ethical approval has become available at the respective sites. TEACH has a two-step enrollment process (see “Eligibility screening”). Study staff explains both the screening and study procedures to patients in detail, and gives patients ample time and opportunity to obtain answers to any open questions. Patients are informed that their participation is voluntary and that they may withdraw at any time without having to give reasons and without penalty or loss of benefits to which they are otherwise entitled. In addition, the patient receives a "Patient Information Sheet”, which contains all the important information about the study in writing. Written informed consent is obtained from each participant before any trial-related procedures are performed and patients receive a copy of the signed and dated written consent form.

Consent for publication

Not applicable.

Competing interests

During the last 3 years, CHL has received lecture honoraria from Novartis and Pfizer and royalties for the German version of the Hospital Anxiety and Depression Scale from Hogrefe Huber Publishers. CA has received honoraria from Bayer Vital, UCB and Boehringer Ingelheim. MM has received lecture honoraria from DAIICHI SANKYO. RW has received honoraria from Bayer, Bristol-Myers Squibb, Boehringer Ingelheim, CVRx, Medtronic, Novartis, Pfizer, Sanofi und Servier. His research is supported by Deutsche Forschungsgemeinschaft (DFG), European Union and German Federal Ministry of Education and Research (BMBF). BHB received compensation from West Virginia University, Morgantown, WV, USA for her consultant work. MdZ, FG, KH, MH, MS, and RT report no competing interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1

. Case Report Forms for the TEACH trial.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Herrmann-Lingen, C., Albus, C., de Zwaan, M. et al. Efficacy of team-based collaborative care for distressed patients in secondary prevention of chronic coronary heart disease (TEACH): study protocol of a multicenter randomized controlled trial. BMC Cardiovasc Disord 20, 520 (2020).

Download citation


  • Coronary heart disease
  • Secondary prevention
  • Psychological distress
  • Blended collaborative care
  • Randomized controlled trial