Abstract
Background
Around 17% of people attending UK cardiac rehabilitation programmes have depression. Optimising psychological wellbeing is a rehabilitation goal, but provision of psychological care is limited. We developed and piloted an Enhanced Psychological Care (EPC) intervention embedded within cardiac rehabilitation, aiming to test key areas of uncertainty to inform the design of a definitive randomised controlled trial (RCT) and economic evaluation.
Methods
An external pilot randomised controlled trial (RCT) randomised eight cardiac rehabilitation teams (clusters) to either usual care of cardiac rehabilitation provision (UC), or EPC in addition to UC. EPC comprised mental health care coordination and patient-led behavioural activation with nurse support. Adults eligible for cardiac rehabilitation following an acute coronary syndrome and identified with new-onset depressive symptoms during an initial nurse assessment were eligible. Measures were performed at baseline and 5- and 8-month follow-ups and compared between EPC and UC. Team and participant recruitment and retention rates, and participant outcomes (clinical events, depression, anxiety, health-related quality of life, patient experiences, and resource use) were assessed.
Results
Eight out of twenty teams were recruited and randomised. Of 614 patients screened, 55 were eligible and 29 took part (5%, 95% CI 3 to 7% of those screened), with 15 patient participants cluster randomised to EPC and 14 to UC. Nurse records revealed that 8/15 participants received the maximum number of EPC sessions offered; and 4/15 received no sessions. Seven out of fifteen EPC participants were referred to another NHS psychological service compared to none in UC. We followed up 27/29 participants at 5 months and 17/21 at 8 months. The mean difference (EPC minus UC) in depressive symptoms (Beck Depression Inventory) at follow-up (adjusting for baseline score) was 1.7 (95% CI − 3.8 to 7.3; N = 26) at 5 months and 4.4 (95% CI − 1.4 to 10.2; N = 17) at 8 months.
Discussion
While valued by patients and nurses, organisational and workload constraints are significant barriers to EPC implementation. There remains a need to develop and test new models of psychological care within cardiac rehabilitation. Our study offers important data to inform the design of future trials of similar interventions.
Trial registration
ISRCTN34701576. Registered on 29 May 2014.
Funding details: UK NIHR HTA Programme (project 12/189/09).
Electronic supplementary material
The online version of this article (10.1186/s13063-018-2576-9) contains supplementary material, which is available to authorized users.
Keywords: Depression, Coronary heart disease, Multimorbidity, Behavioural activation, Mental health care coordination, Cardiac rehabilitation, Randomised controlled trial, Qualitative interviews
Background
Depression is common in people with coronary heart disease (CHD), affecting approximately a fifth of individuals following an acute coronary syndrome (ACS) [1], coronary artery bypass grafting (CABG) [2] and chronic heart failure [3]. Such depression is important as it is associated with worse health-related quality of life [4–6], greater use of unscheduled care [7, 8], increased health care costs [9] and a doubling of risk of subsequent morbidity and mortality [10–14]. The detection and appropriate management of depression among people with CHD is a policy priority in the UK and in many other countries with well-developed health care systems [15–18].
For most people in the UK who have experienced an ACS or have had coronary revascularisation, cardiac rehabilitation is offered by the National Health Service (NHS) as part of routine care to help people return to optimal functioning. This rehabilitation usually incorporates education, exercise and psychological support, although the exact form of the psychological support provided is not well defined in guidance documents [19] and remains open to interpretation by individual services. While psychological treatments, such as cognitive behavioural therapy, for example, are effective for depression in people with CHD [20, 21], very few rehabilitation services provide access specific psychological treatments part of cardiac rehabilitation. Furthermore, only a minority of rehabilitation services (18% in 2014) provide direct access to specialist psychological care [1]. Thus, despite the availability of evidence-based interventions in primary and secondary care, the majority of people attending cardiac rehabilitation in the UK do not receive adequate treatment for depression.
To improve access to evidence-based psychological treatment for depression among people attending cardiac rehabilitation, we developed and conducted a preliminary evaluation of a complex intervention (Enhanced Psychological Care or ‘EPC’) for delivery by cardiac rehabilitation nurses alongside routine cardiac rehabilitation. Our aim was to pilot the methods and procedures required to undertake a fully powered evaluation of the clinical effectiveness and cost-effectiveness of implementing EPC for patients with new-onset depressive symptoms using cardiac rehabilitation compared with treatment as usual [22]. This paper reports on three specific objectives: to document the flow of patients through a pilot trial (i.e. study eligibility, recruitment and attrition rates); collect participant outcome data to support sample size calculations for a definitive trial; and to establish the optimal data collection methods required to support an economic evaluation. We also undertook qualitative interviews with patients and nurses recruited into the study to explore their views on the acceptability of EPC and of our study procedures. The methods and results of these interviews have been reported elsewhere [23].
Methods
The full methods employed in the CADENCE study are described in a protocol paper [22].
Study design
An external pilot cluster randomised controlled trial (RCT) [24, 25], including the piloting of economic data collection, was undertaken. We sought to recruit and randomise eight teams (clusters) delivering a comprehensive cardiac rehabilitation programme to either the intervention (EPC) or control (usual care (UC)) arms in a 5:3 ratio. This randomisation ratio was used to ensure that sufficient nurses and patients were exposed to EPC to support the aims of the qualitative interview study.
Randomisation was carried out by the trial statistician (FW) who was independent of the recruitment of rehabilitation teams and patient participants. The allocation sequence was determined using computer-generated random numbers. Cluster randomisation was balanced by team type (community, hospital or mixed community and hospital teams) and patient throughput at the initial cardiac rehabilitation assessment (‘low’ ≤ 22 patients per month vs ‘high’ > 22 patients per month), the latter facilitating division into small and large teams. The cluster randomised design was essential to avoid contamination between trial arms (for example, it was deemed unrealistic that nurses trained in mental health care coordination would be expected to offer this management approach only to intervention group participants and not those in the control arm). To conceal the allocation sequence from cardiac teams, the cluster randomisation took place immediately after the last team was recruited.
Interventions tested
Usual care (controls)
Usual care was defined as cardiac rehabilitation, commencing at the point the patient attended a specialist cardiac rehabilitation nurse assessment clinic prior to starting a structured rehabilitation programme. The UK British Association of Cardiovascular Prevention and Rehabilitation (BACPR) publish core standards regarding the content of structured rehabilitation, which is commonly delivered in one or two sessions per week for approximately 8 weeks. Sessions last around 2 h and include structured exercise and education (e.g. managing cardiac risk factors) and psychological input (e.g. stress management and/or relaxation training). The 2012 BACPR standards [26] were in effect during this trial (new standards came into effect in 2017 [27]). The 2012 standards advocated the provision of psychosocial care and routine monitoring of mood (anxiety and depression) upon referral and discharge. However, detailed guidance on how psychosocial care should be delivered is not provided. National audit data reports that psychological expertise within cardiac rehabilitation teams is uncommon (< 15%) [1]. Informal discussions with mental health specialists and cardiac rehabilitation staff suggest that there is considerable variation in local cardiac team protocols across the UK, with specialist referrals to mental health services frequently resulting from clinical observation and intuition.
EPC (treatment)
A detailed description of the development of our EPC intervention [28], and of the rationale and content supporting its design is reported elsewhere [29]. Briefly, EPC was designed to be embedded within the existing cardiac rehabilitation care pathway and delivered by cardiac nurse specialists supported by an intervention manual. EPC consisted of mental health care coordination [30, 31], including an embedded participant-led behavioural activation (BA) programme [32–37] designed to tackle depressive symptoms. Nurses were trained to apply best-practice clinical decision-making rules [30, 31], matching the intensity of treatment with participant preferences for mental health care. Nurses were also supplied with a manual to support intervention delivery.
The nurse explained the evidence-based treatment options available to all potentially eligible patients. This included BA self-help materials supported by the nurse as part of the cardiac rehabilitation programme, and/or referrals to their general practitioner (GP), local mental health services, or referral to specific cardiac patient psychological support services where available. Nurses were trained to coordinate care while the participant attended cardiac rehabilitation by monitoring depressive symptoms, assessing risk to self or others and agreeing/reviewing any changes to the mental health care plan with participants, including onward referral to other services.
All participants were also offered nurse-supported self-help using a participant BA handbook. The handbook consisted of a structured programme designed to support participants in re-engaging with sources of positive reinforcement from their environment and to develop future strategies for managing their depressive symptoms. A functional analytical approach was adopted, with the handbook designed to help participants develop an understanding of behaviours that interfere with meaningful, goal-oriented behaviours. By teaching the participant to self-monitor mood, individuals were shown how to identify patterns of behaviour associated with their depression. Participants were then encouraged to develop alternative behaviours which were goal-orientated, targeting routine, pleasurable and necessary activities and using diaries to plan these behaviours into daily schedules.
Although our pilot intervention involved a participant-led, self-help BA handbook, nurses were trained to actively support participants. A 2-day training course was delivered by experienced mental health practitioners, during which nurses were trained in key techniques of mental health care coordination, managing safety and risks, and BA. Supported by an intervention manual, nurses were also provided with a session by session guide, detailing the types of coordination actives required as participants moved through their 6–8-week cardiac rehabilitation programme (Additional file 1: Table S1). This guide was flexible to accommodate participant preferences for care. Nurses delivering EPC to participants also received bi-weekly clinical supervision by an experienced mental health practitioner over the telephone.
On completion of their cardiac rehabilitation programme, nurses were required to send structured details of the mental health care that they had delivered to the participant to the participant’s GP. All participants, including those receiving BA and whose depressive symptoms do not respond, were given an opportunity to review their management options with the nurse. Here, treatment response was defined as achieving a minimally clinical important difference (MCID) for the Patient Health Questionnaire-9 (PHQ-9) equivalent to a 5-point reduction in score [38]. It was expected that some people who achieved this MCID remained above the PHQ-9 diagnostic threshold (≥ 10) for depression; as part of their care coordination, these individuals were referred for continuing mental health management upon discharge from cardiac rehabilitation services.
Settings and study population
We aimed to recruit and randomise eight cardiac rehabilitation teams. We wrote to the lead nurse in each of the 20 operationally distinct teams in South West England, providing detailed information about the study and inviting participation. Each team expressing an interest received a briefing visit, where the trial design and methods were explained by a researcher, and the staff were given an opportunity to ask questions before being asked to provide written consent to participate. All teams agreeing to participate received training in study procedures. Nurses in teams allocated to the EPC intervention arm received EPC training before participant recruitment began.
Participant eligibility criteria
Nurses were trained to apply a structured checklist to ascertain participant eligibility. All adult patients (aged 18 years or over) referred for cardiac rehabilitation based on local clinical referral protocols were screened for eligibility. The sample comprised individuals previously admitted with an acute coronary syndrome (unstable angina, non-ST-elevation myocardial infarction (MI) or ST-elevation MI) and/or following a coronary revascularisation procedure (percutaneous coronary intervention (PCI), CABG), with or without heart failure [1].
Patients were routinely screened for depressive symptoms using the nine-item Patient Health Questionnaire (PHQ-9) [39, 40], with individuals scoring 10 or more deemed potentially eligible for inclusion. Patients were excluded if they reported active treatment for depression (psychological or drug therapy) within the previous 6 months. Individuals were also excluded where there was evidence of alcohol or drug dependency, active suicidal intention or having poorly controlled bipolar disorder or psychosis/psychotic symptoms based on a clinical review. Although no language exclusions were applied, we anticipated that the majority of patients would require sufficiently good English language skills to engage with the manual-based EPC intervention, with NHS translation services employed if needed.
Patient participant recruitment procedure
Eligible participants were invited to take part by a nurse during their initial clinic appointment (prior to commencing a structured rehabilitation programme), and given a brief study sheet to take away and review. The nurse also gained permission to pass the individual’s contact details on to the research team. A researcher then contacted the patient within 7 days to discuss participation and provide them with a detailed Participant Information Sheet. The researcher arranged a visit to obtain written consent and to undertake the baseline trial assessment before the participant commenced the structured rehabilitation programme. Participants were informed that trial participation was voluntary, and that they could withdraw from the study at any time without reason, and that withdrawing would not affect their ongoing clinical care in any way.
Sample size
Using UK national audit data (2010–2011), 55,452 patients (for MI, PCI, CABG) engaged in cardiac rehabilitation with one of 280 teams (an average of 200 patients per team per year). Assuming that 17% had depressive symptoms [27], this equated to 35 eligible patients per team each year. Establishing participant eligibility and consent rates were key goals of this pilot study as there was no applicable UK data employing a cluster RCT design. For planning purposes we assumed a participation rate of 50%, aiming to recruit 64 patients through the eight teams in 6 months; this target was subsequently amended to 47 participants on completion of a feasibility study (which preceded the pilot trial), which identified that unless the participant recruitment period was extended beyond 6 months, we would be unlikely to achieve our initial target (full details are described elsewhere [29]). This sample size is sufficient to estimate a follow-up percentage as low as 50% with margin of error ± 15% based on the width of the 95% confidence interval (CI), and as high as 90% with a margin of error of ± 13% based on the lower bound of the 95% CI. We did not estimate the intra-cluster (intra-CR team) correlation coefficients (ICC) for key outcomes as the pilot sample was small and estimates would have been imprecise. Using national audit data available during the planning phases of this research (2010–2011; 6272 patients; 119 cardiac rehabilitation teams), we estimated the ICC for depression measured using the Hospital Anxiety and Depression Scale [41] to be 0.047 (95% CI, 0.034 to 0.062). This ICC estimate and CI were used to inform the sample size calculations for the definitive trial.
Data collection
All participants were assessed by a researcher completing measurements on up to three occasions. Baseline measures were completed prior to commencing cardiac rehabilitation, and then two follow-up interviews were scheduled at 5 and 8 months post randomisation (Fig. 1). A summary of the measures collected at each time point can be found in Additional file 1: Table S2. Blinding of patients, practitioners or researchers extracting data on study outcomes was not possible in this cluster design, but the final analysis was carried out by a statistician who was blind to treatment allocation. Data were collected on process measures, patient outcomes, and resource use and costs.
Process measures
Process data on study eligibility and participant recruitment were collected by nurses. We extracted data on the number of patients attending an initial nurse assessment, the proportion identified with depressive symptoms during this assessment, the prevalence of new-onset (as opposed to recently treated) depression and the number of patients deemed eligible for trial participation. For eligible patients, we documented the numbers: offered study entry; agreeing to be contacted by a researcher; and those subsequently consenting to take part and undergoing a baseline interview. Participant socio-demographic characteristics (age, sex, Index of Multiple Deprivation (IMD) score [42], ethnicity/preferred language) and underlying cardiac condition were also collected. The proportion of participants completing follow-ups at 5 months (primary endpoint) and 8 months was also reported.
Intervention fidelity was assessed through a review of nurse clinical records. We extracted data on the number of cardiac rehabilitation sessions attended by each participant and the proportion where there was documentary evidence of mental health care coordination in their notes and the type of psychological referrals made (where appropriate). For participants in the EPC arm we also assessed intervention adherence by recording the number of cardiac rehabilitation sessions attended and where the BA component of EPC was reviewed.
Participant outcomes measures
Baseline assessment only
Although not determining study eligibility, the Revised Clinical Interview Schedule (CIS-R) [43, 44] was administered for the purposes of research to ascertain a clinical diagnosis of depression and other disorders. Participants were also asked for their treatment preferences [45] prior to commencing rehabilitation. Data from clinical records (GP and cardiac nurse notes) were extracted regarding known cardiac risk factors (Body Mass Index (BMI), blood pressure, glycosylated hemoglobin (HbA1c), lipids, smoking status) as recorded at the participant’s latest clinical assessment prior to recruitment.
Baseline and follow-up measures
We requested that NHS providers inform us of any participant deaths between baseline and the 8-month follow-up. At the last follow-up we also recorded the date and last recorded known cardiac risk factors in nurse notes. At the same time, we contacted the participant’s GP to arrange for a researcher to extract relevant data from primary care records, including the incidence of any new cardiac events, i.e. death and/or hospital admissions for acute coronary syndromes or revascularisation procedures (CABG or PCI), or mental health events (e.g. self-harm, suicidality) arising since study enrolment. In addition to being outcomes, these were part of the safety monitoring of serious adverse events (SAEs) and adverse events (AE) within the trial.
The baseline and follow-up interviews included participant-reported cardiac-related and non-cardiac-related morbidity and smoking status, antidepressant medication use [46], and resource use. Cardiac nurses used the PHQ-9 to identify and monitor depressive symptoms as part of clinical care. As patients in the EPC arm were likely to complete this tool more often than those in UC, this might differentially impact on its scoring independent of any treatment effects, as EPC participants become familiarised with it. Thus, for the purposes of research, depressive symptom severity was measured using the Beck Depression Inventory (BDI-II) [47, 48] (range 0–63), with minimal (0–13), mild (14–19), moderate (20–28) and severe (29–63) symptom severity ranges specified.
The Beck Anxiety Inventory (BAI) [49, 50] was assessed as anxiety is commonly comorbid with depression. Item scores are summed with total scores of 8–15, 16–25 and 26–63 taken as ranges defining categories for mild, moderate or severe anxiety, respectively. Health-related quality of life (HRQL) was quantified using both generic and disease-specific measures. The EuroQoL Index (EQ-5D-5 L) [51, 52] is a standardised generic HRQL measure commonly used for economic evaluations alongside clinical trials. The HeartQoL questionnaire [53, 54] is a disease-specific measure comprising 14 items covering physical and emotional domains. For both tools lower scores representing poorer HRQL.
To assess patient activation over the course of their EPC, we administered the nine-item Behavioral Activation for Depression Scale – Short Form (BADS-SF) [55], with scores ranging from 0 to 54 and high scores representing greater activation.
Participant experiences of care were assessed at the 5-month follow-up using the self-reported Client Satisfaction Questionnaire (CSQ-8) [56] and an adapted version of the NHS Friends and Family Test (FFT). The CSQ-8 is composed of eight items with scores ranging from 8 to 32 with higher values indicating greater satisfaction. The FFT asks whether you would recommend the care received to family and friends, and includes a single item with a 5-point rating scale (‘Extremely likely’ to ‘Extremely unlikely’) and two free-text items (‘What was good about your experience?’; and ‘What would have made your experience better?’).
Economic evaluation
We adopted a societal perspective as this is the analytic approach recommended by the UK National Institute for Clinical Excellence. We tested the methods of resource and service-use data collection to enable estimation of the costs to the NHS, costs to social care and personal social services, and relevant costs to patients and their carers/families (including NHS and privately funded mental health care). A preliminary assessment of the cost of providing EPC within cardiac rehabilitation was undertaken. Service-use data were extracted by researchers from routine/administrative sources (e.g. cardiac nurse records, GP records) and participant self-report using the Service and Resource Use Questionnaire (SRUQ). The SRUQ was adapted from the Client Services Receipt Inventory [57], with input from our lay advisors. The completeness and reliability of participant reporting was compared with routine administrative data for the types/amounts of health care/service used over the follow-up periods.
Statistical analysis plan
As this is a pilot study we do not report definitive estimates of effectiveness and costs. Pilot study data were reported according to the Consolidated Standards of Reporting Trials (CONSORT) extension for cluster randomised trials [58]. Recruitment, intervention and control uptake, outcome completion rates and dropout rates were reported with 95% CIs. Recruitment rates and participant characteristics at baseline were compared between the trial arms to assess whether there was evidence of selection bias resulting from cluster randomisation which took part prior to participant recruitment [59].
Baseline characteristics of the participants were summarised by trial arm status using means and standard deviations (SDs) (or medians and interquartile ranges) for continuous variables, and numbers and percentages for categorical variables. Participant-reported outcomes were compared between trial arms (i.e. EPC minus UC), adjusting for baseline scores, using linear regression for continuous variables and logistic regression for binary variables based on an intention-to-treat analysis. As this is a pilot study we reported only 95% CIs and no p values. We did not use analytical methods that allow for clustering because the number of clusters and participants per cluster was too small. For this reason, and the fact that this is a pilot study, the CIs should be interpreted cautiously. We carried out a complete case analysis, including only those participants who provided outcome data. No data were imputed as this is not a definitive trial of intervention effectiveness.
In addition, as part of piloting the BDI-II, treatment effects regarding depression symptom severity were reported in five ways: (1) mean (SD) and between-group mean difference; (2) the proportion of participants demonstrating a reduction in score from baseline by > 50% (deemed a clinically important ‘response’ to treatment [60]); (3) the proportion of participants demonstrating remission (going from scores ≥ 14 to < 14); (4) the proportion of participants demonstrating a minimal clinically important difference (MCID) in the BDI-II scores of 17.5%; [61] and (5) a clinically significant and reliable change (CSRC), where participants meet two criteria: (a) passing below the BDI-II remission threshold (see (3) above) and (b) establishing that the magnitude of the participant’s change in score is statistically reliable, i.e. the difference between the participant’s scores at baseline and follow-up was calibrated by the standard error of the difference between two scores [62]. All statistical analysis was undertaken in Stata v14.
Ethical and governance considerations
The Royal Devon and Exeter NHS Foundation Trust acted as the trial sponsor. The CADENCE study protocol (version 4, 19 June 2015), was reviewed and received a favourable ethical opinion from the NHS National Research Ethics Service Committee South West – Exeter (reference: 14/SW/0139) and the relevant NHS research governance approvals were obtained. All nurse and patient participants provided written consent prior to participating in this study.
This study is registered with the IRCTN trials registry (ISRCTN34701576) and was adopted by the UK Comprehensive Research Network (UKCRN ID: 17105). All researchers and nurses involved in participant recruitment undertook Good Clinical Practice (GCP) training.
Patient and public involvement
Patient and public involvement (PPI) was sought during protocol development following a published framework for PPI involvement in research [63]. Four lay advisors with relevant lived experience, reviewed and commented on our research proposal. PPI continued throughout the project, with the precise roles of advisors negotiated across time. In the early stages, our advisors reviewed outcome measures and informed the design of all study-related materials, including Participant Information Sheets and the development of intervention manuals. Lay advisors also attended project management meetings on a quarterly basis and actively participated in decisions related to the ongoing running of the project; for example, advising on the acceptability to patients of modifications to EPC intervention.
Results
Recruitment
The recruitment and flow of cardiac teams and patient participants are summarised in Fig. 1. Between December 2014 and February 2015, 20 cardiac rehabilitation teams were approached, of which eight agreed to participate (40%), nine declined, two did not respond and one ceased to exist due to service reconfiguration. Teams were then randomised (five to EPC and three to usual care (UC)), with one team withdrawing from the EPC arm immediately post randomisation. This team was replaced with another team recruited from the West Midlands that was similar with respect to patient throughput and population mix.
Of the eight participating teams, two were hospital based, three were community based and the remainder based both in the community and at the hospital (Table 1). Team size and throughput varied considerably, with teams comprised of between one and seven cardiac nurses working either part-time or full-time, and providing care for between 12 and 70 patients per month. Most of the teams offered centre-based programmes either in the community and/or at the hospital, clinic-based individual appointments and home-based programmes with one team offering only centre-based programmes. The majority of teams were in urban and rural settings, with only two teams serving inner-city patient populations. The three UC teams had no access to psychological support integrated within their cardiac rehabilitation programme, although one team reported having limited access to a clinical psychologist. Three of the EPC teams had little or no access to psychological support; the other two EPC teams, located in inner city areas, had established close links to the clinical psychology and community mental health services.
Table 1.
Team | Allocation | Team location (setting) | Cardiac team clinical staffing | Type of cardiac rehabilitation programme offered (including usual psychological carea) | N patients assessed per monthb |
---|---|---|---|---|---|
A | UC | Hospital (rural) | 7 nurses (2 full-time; 5 part-time) | Centre-based groups, Clinic-based individual appointments, Home-based programmes | 40 |
B | UC | Community (rural) | 7 nurses (1 full-time; 6 part-time) | Centre-based groups – with some support from a clinical psychologist, Clinic-based individual appointments, Home-based programmes | 60 |
C | UC | Community (rural) | 3 nurses (part-time), 1 team manager (part-time) | Centre-based groups | 12–16 |
D | EPC | Community (rural/urban) | 2 nurses (1 full-time; 1 part-time) | Centre-based groups, Clinic-based individual appointments, Home-based programmes | 26 |
E | EPC | Hospital (rural/urban) | 2 nurses (part-time) | Centre-based groups, Clinic-based individual appointments, Home-based programmes | 70 |
F | EPC | Mixed hospital + community (urban) | 1 nurse (part-time) | Centre-based groups, Clinic-based individual appointments, Home-based programmes | 32 |
G | EPC | Mixed hospital + community (inner-city) | 4 nurses (part-time) | Centre-based groups – limited psychological input via referral to community mental health workers, Clinic-based individual appointments, Home-based programmes | 33 |
H | EPC | Mixed hospital + community (inner-city) | 6 nurses (part-time) | Centre-based groups, Clinic-based individual appointments – part-time clinical psychologist linked to team, Home-based programmes | 50–60 |
EPC Enhanced Psychological Care, UC usual care
aUnless stated there is no dedicated psychological support available (either within the team, or through an established referral pathway)
bData derived from the team profile questionnaire completed prior to randomisation. Teams reported the ‘average’ number of patients assessed per month
Due to unforeseen delays in securing regulatory approvals in some areas, individual teams recruited patients for between 3 and 6 months during the period June 2015 to December 2015. A total of 614 patients (389 EPC arm, 225 UC arm) were screened for eligibility, of whom the mean age was 66.2 years (range 32 to 95 years), 70.2% were male (481/614) and 94.3% reported their ethnicity as ‘White’ (579/614). Eighty-nine out of 614 (14.5%) scored 10 or more on the PHQ-9, of whom 55/614 were deemed eligible for the trial (9%, 95% CI 7% to 12%); 33 were ineligible as they were either actively being treated for depression (n = 21, 3% 95 CI 2% to 5%), or excluded for other reasons (e.g. alcohol and/or drug dependency problems, were currently ineligible for cardiac rehabilitation based on their cardiac condition, or had language and communication problems).
Fifty-one of the 55 patients deemed to be eligible by a nurse were invited to participate. Of the four patients not invited, one patient declined any further input from the cardiac rehabilitation service, two patients were not offered EPC as the nurse was at capacity and could not take on more patients, and the final patient reported a marked improvement in mood and did not feel that they required EPC. Of the 51 patients offered study entry, 21 declined participation (41%) for a variety of reasons including: a preference to see their GP (n = 6); feeling better and would prefer to see how mood goes while taking part in cardiac rehabilitation (n = 3); that their mood was a long-standing problem unrelated to this current hospital stay (n = 2); or they did not want the EPC intervention (n = 2) (nine patients did not give a reason). Thus, of the 55 eligible patients, 30 (54%, 95% CI 41 to 68%) were initially recruited (one of whom withdrew prior to providing baseline data) and 29 participants were effectively (cluster) randomised (15 EPC; 14 UC), equivalent to 5% (95% CI 3 to 7%) of the 614 patients screened.
At the 5-month follow-up 27/29 participants completed an assessment (93%, 95% CI 77 to 99%). At 8 months we were unable to collect data for 8/29 participants, due to slower than anticipated recruitment to the trial such that these participants could only contribute data to the 5-month follow-up before data collection closed due to funding constraints. Of the 21 participants for whom 8-month data could have been obtained, 17 (81%, 95% CI 58 to 95%) provided data.
Sample characteristics
Of the 51 eligible participants who were offered study entry, 15/29 (52%) male patients and 15/22 (68%) female patients accepted. Of 49 eligible White patients invited to participate, 19 declined (39%), as did both of the two Asian/Asian British patients. The mean age among 30 eligible patients who accepted participation was 63.8 years (SD 9.5), range 47 to 78 years; among 21 patients who declined, mean age was 61.1 years (SD 12.3), range 36 to 83 years. For the acceptors, mean PHQ-9 score was 13.4 (SD 4.1), range 10 to 25; for the decliners, mean PHQ-9 score was 14.4 (SD 4.6), range 10 to 24.
The socio-demographic characteristics, smoking status, and health status of trial participants are reported in Table 2. While both trial arms were broadly similar across a range of baseline characteristics, there was some imbalance, with the EPC arm having a greater proportion of participants in the three most deprived deciles compared with UC (40% (6/15) versus 14% (2/14)). Despite recruiting in some ethnically diverse areas, all participants reported their ethnicity to be White. Some imbalance was also observed regarding baseline health characteristics. The EPC group reported higher levels of depression at baseline compared with UC (mean PHQ-9 score 14.2 versus 11.9) and BDI-II (18.4 versus 12.5); 67% (10/15) participants in EPC had a BDI-II score of ≥ 14 compared with 50% (7/14) in UC.
Table 2.
UC, N = 14 | EPC, N = 15 | |
---|---|---|
Gender; n (%) | ||
Male | 7 (50) | 8 (53) |
Age (years); mean (SD) | 68.1 (8.6) | 62.7 (8.9) |
Ethnicity; n (%) | ||
White | 14 (100) | 15 (100) |
Preferred language; n (%) | ||
English | 13 (93) | 15 (100) |
Other | 1 (7) | 0 (0) |
Smoking status; n (%) | ||
Never smoked | 5 (36) | 4 (27) |
Ex-smoker | 9 (64) | 11 (73) |
Time since quitting smoking (ex-smokers only); n (%) | ||
Less than 6 months | 3 (33) | 3 (27) |
6 to 12 months | 0 (0) | 0 (0) |
1 to 5 years | 0 (0) | 2 (18) |
5 to 10 years | 1 (11) | 0 (0) |
More than 10 years | 5 (56) | 6 (55) |
Index of Multiple Deprivation median decile (IQR) (lower deciles are more deprived) | 6 (4, 8) | 5 (1, 7) |
Index cardiac event and/or and proceduresa | ||
ACS and/or revascularisation | 11 (79) | 11 (73) |
Other heart conditionb | 3 (21) | 1 (7) |
Other cardiac procedure (pacemaker, valve surgery) | 0 (0) | 3 (20) |
CIS-R primary diagnosis category; n (%) | N = 13c | N = 14c |
No psychiatric diagnosis identified | 9 (69) | 6 (43) |
Mixed anxiety and depressive disorder – mild | 1 (8) | 1 (7) |
Mild depressive episode | 3 (23) | 4 (29) |
Moderate depressive episode | 0 (0) | 3 (21) |
Secondary diagnosis category; n (%) | ||
No psychiatric diagnosis identified | 12 (92) | 9 (64) |
Mixed anxiety and depressive disorder – mild | 1 (8) | 1 (7) |
Generalised anxiety disorder – mild | 0 (0) | 1 (7) |
Mixed anxiety and depressive disorder | 0 (0) | 2 (14) |
Specific (isolated) phobia | 0 (0) | 1 (7) |
Emotional health | ||
PHQ-9; mean (SD) | 11.9 (1.8) | 14.2 (4.7) |
BDI; mean (SD) | 12.5 (4.9) | 18.4 (7.4) |
BAI; mean (SD) | 12.5 (4.4) | 19.3 (10.7) |
Do you believe you have low mood?; n (%) | ||
Yes | 11 (79) | 11 (73) |
No | 3 (21) | 4 (27) |
Do you want any professional help for your low mood?; n (%)d | ||
N = 11 | N = 11 | |
Strongly prefer help | 1 (9) | 5 (45) |
Prefer help | 4 (36) | 2 (18) |
Prefer not to receive help | 3 (27) | 3 (27) |
Strongly prefer not to receive help | 3 (27) | 1 (9) |
What type of professional help would you prefer?; n (%)d | ||
N = 11 | N = 11 | |
Strongly prefer non-drug help | 6 (55) | 9 (82) |
Prefer non-drug help | 3 (27) | 0 (0) |
Prefer drug-based help | 1 (9) | 0 (0) |
Strongly prefer drug-based help | 0 (0) | 0 (0) |
Do not mind | 1 (9) | 2 (18) |
Health-related quality of life | ||
EQ-5D-5 L; mean (SD) | 0.801 (0.097) | 0.644 (0.226) |
EQ-5D VAS; mean (SD) | 63.0 (23.5) | 48.7 (19.3) |
HeartQoL; mean (SD) | 21.3 (9.1) | 15.2 (9.9) |
ACS acute coronary syndrome, BAI Beck Anxiety Inventory, BDI-II Beck Depression Inventory, CIS-R Revised Clinical Interview Schedule, EPC Enhanced Psychological Care, EQ-5D-5 L EuroQoL Index, IQR interquartile range, PHQ Patient Health Questionnaire-9, SD standard deviation, UC usual care, VAS Visual Analogue Scale
aClear diagnostic information was not always present
bIncludes atrial fibrillation, chest pain, heart failure or ischaemic heart disease
cSome participants did not complete this component of the baseline assessment
dOnly completed by participants who believed themselves to have low mood
The precipitating cardiac events as recorded in GP or cardiac nurse records at baseline are reported in Table 2. The majority of patients attended cardiac rehabilitation following an acute coronary syndrome and/or revascularisation, and these were equally distributed between the two groups.
EPC delivery
Seven nurses from four teams provided EPC to one or more participants (one team recruited no participants to the study). Three teams had two nurses providing EPC and one team had a single practitioner. Most nurses had their own participants allocated to them, occasionally sharing cases when the allocated nurse was unavailable. Thirty clinical supervision calls were made to the teams over a 7-month period.
The number of cardiac rehabilitation sessions attended recorded in nurse notes ranged from 0 to 22 (mean 8.3, SD 8.1) for EPC participants and 1 to 12 (mean 7.4, SD 2.7) in UC (Table 3). Consistent with the training provided, there was documentary evidence that a maximum of eight sessions of EPC were offered. Approximately half received the maximum number of sessions (8/15, 53%), while 4/15 (27%) of participants had no EPC sessions recorded (Table 3). Documentary evidence of mental health care coordination activities was observed for 47% (7/15) of EPC participants referred on to another NHS service (e.g. GP or another psychological care service). This compared with 0/14 (0%) of UC participants. No participants in either arm self-reported accessing private mental health care.
Table 3.
Outcome | Usual care (UC), N = 14 | EPC, N = 15 |
---|---|---|
Number of cardiac rehabilitation sessions; median (min, max) | ||
Offered | 8 (2, 14) | 7 (0, 24) |
Attended | 7.5 (1, 12) | 7 (0, 22) |
Number of EPC sessions attended; n (%) | ||
8 | N/A | 8 (53) |
7 | 1a (7) | |
6 | 1b (7) | |
1 | 1c (7) | |
0 | 4 (27) | |
Days elapsed from consent date to starting cardiac rehabilitation; median (min, max) | 3 (− 15, 27) | 5 (− 35, 22) |
Participants who started cardiac rehabilitation prior to trial recruitment; n/N (%) | 6 (43) | 2 (13) |
Days elapsed from trial entry to start of EPC; median (min, max) | N/A | 5 (0, 19) |
Days elapsed from trial entry to discharge from cardiac rehabilitation; median (min, max) | 69 (13, 112) | 89 (48, 185) |
Evidence of psychological care coordination activities provided in nurse notes; n (%) | N/A | 5 (33) |
Referral to GP/other psychological care services; n (%) | 0 (0) | 7 (47)d |
aParticipant had only seven sessions scheduled
bParticipant had eight sessions scheduled but did not attend two sessions
cParticipant had only one session scheduled
dFor some patients, there was no evidence of psychological care coordination in the nurse notes, but there evidence of onward referral describe in the GP discharge letter
Clinical outcomes
No deaths were recorded in either arm of the trial between baseline and the final follow-up. Eight new cardiac events/diagnoses were recorded between baseline and the 5-month follow-up period and a further four events occurred between 5 months and 8 months (Table 4).
Table 4.
Baseline to 5 months | 5 months to 8 months | |||
---|---|---|---|---|
Cardiac eventa; n | UC, N = 14 | EPC, N = 13 | UC, N = 8 | EPC, N = 9 |
ACS or revascularisation | 2 | 3 | 0 | 1 |
Other diagnosisb | 2 | 1 | 1 | 2 |
ACS acute coronary syndrome, EPC Enhanced Psychological Care, UC usual care
aMultiple outcomes can occur in an individual participant
bOther diagnoses recorded include atrial fibrillation, heart failure, ischaemic coronary disease and left ventricular dysfunction
Between baseline and the 5-month follow-up only two participants (one EPC, one UC) had evidence of a mental health event related to a newly diagnosed condition recorded in GP records, and two participants (one EPC, one UC) had evidence of prescribing antidepressant medication.
To test the feasibility of collecting physiological and biochemical measurements from routine records, we assessed data availability from either GP or cardiac nurse records. The routine recording of such measurements was highly variable (Additional file 1: Table S3); blood pressure measurements were the most frequently reported, with other measures (HbA1c and triglycerides) frequently omitted.
During the trial, the protocol relating to managing self-harm/suicide risk was triggered for three participants. Three of these were recorded by the nurse during an EPC intervention session and one managed by a researcher during an assessment. For each participant, the initial risk was identified as the individual reporting plans/preparations to self-harm but with protective factors identified, and the individual advised to seek help from their GP. One participant was subsequently escalated to a higher risk as they had taken no action to talk to their GP regarding their mood, and their GP was contacted (with the participant’s permission) to alert them to the risk.
Eleven serious adverse events relating to six participants were recorded, including participant admissions to hospital on account of infective conditions, asthma or cardiac complications (e.g. chest pain, additional stent requirement, postural hypotension). None were judged to be related to the trial intervention or research procedures by an independent monitoring committee.
Participant-reported outcome measures
Participant-reported outcomes reported at 5- and 8-month follow-up are presented in Table 5. In terms of depressive symptoms, the mean difference (EPC minus UC) in BDI-II score at follow-up (with adjustment for baseline score) was 1.7 (95% CI − 3.8 to 7.3; N = 26) at 5 months and 4.4 (95% CI − 1.4 to 10.2; N = 17) at 8 months. Around half of participants with data available at both baseline and 5 months (N = 26) had a 50% reduction in BDI-II at 5 months. A 17% reduction from baseline symptoms (the MCID) was observed for 10/12 (83%) in EPC and 11/14 (79%) in UC, with 43% (3/7) and 86% (6/7), respectively, considered to be in remission (BDI < 14) at 5 months. Among those in remission, in the EPC arm 2/7 (29%) had a clinically significant and reliable change, compared with 3/7 (43%) in UC.
Table 5.
Outcome variable | 5 months | 8 months | ||||
---|---|---|---|---|---|---|
UC, N = 14 | EPC, N = 13 | Mean difference or ORa (95% CI) | UC, N = 8 | EPC, N = 9 | Mean difference or ORa (95% CI) | |
BDI-II; mean (SD), n | 7.4 (3.7), 14 | 10.2 (8.4), 12 | 1.7 (− 3.8, 7.3) | 7.0 (3.5), 8 | 12.6 (6.6), 9 | 4.4 (− 1.4, 10.2) |
50% reduction in BDI-II from baseline; n/N (%) | 7/14 (50) | 5/12 (42) | 0.71 (0.16, 3.25) | 4/8 (50) | 2/9 (22) | 0.29 (0.04, 2.09) |
Remission (< 14 BDI-II) from baselineb; n/N (%) | 6/7 (86) | 3/7 (43) | 0.13 (0, 1.37) | 4/4 (100) | 2/5 (40) | 0 (0, 1.10) |
BDI-II MCID (17.5% reduction post baseline); n/N (%) | 11/14 (79) | 10/12 (83) | 1.36 (0.22, 8.31) | 5/8 (63) | 6/9 (67) | 1.20 (0.18, 7.99) |
BDII-II CSRC from baselinec; n/N (%) | 3/7 (43) | 2/7 (29) | 0.53 (0.07, 4.33) | 2/4 (50) | 1/5 (20) | 0.25 (0, 3.56) |
BAI; mean (SD), n | 9.2 (4.0), 14 | 14.7 (8.3), 13 | 4.6 (− 0.8, 10.0) | 6.4 (4.6), 8 | 12.7 (7.1), 9 | 5.0 (− 1.2, 11.1) |
EQ-5D-5 L; mean (SD), n | 0.875 (0.115), 13 | 0.885 (0.065), 13 | 0.045 (− 0.023, 0.113) | 0.876 (0.092), 8 | 0.827 (0.116), 9 | − 0.041 (− 0.145, 0.064) |
EQ-5D VAS, mean (SD), n | 72 (21), 14 | 72 (21), 12 | 5 (− 13, 22) | 64 (18), 7 | 64 (12), 8 | 1 (− 17, 19) |
HeartQoL; mean (SD) | 31.5 (4.9), 14 | 22.9 (10.3), 13 | − 8.2 (− 14.9, − 1.4) | 28.3 (6.7), 8 | 28.6 (7.6), 9 | 0.1 (− 7.9, 8.0) |
BAI Beck Anxiety Inventory, BDI-II Beck Depression Inventory, CI confidence interval, CSRC clinically significant and reliable change, EPC Enhanced Psychological Care, EQ-5D L EuroQoL Index, MCID minimally clinical important difference, OR odds ratio, SD standard deviation, UC usual care, VAS Visual Analogue Scale
aBetween-group comparison. The mean difference is adjusted for baseline score. No adjustments for clustering were made
bAt baseline, 7/14 UC participants and 10/15 EPC participants had a BDI-II score ≥ 14; participants with scores ≤ 13 at baseline excluded
cClinically significant and reliable change can only be calculated for participants with a baseline BDI-II score of ≥ 14
In terms of anxiety, the mean difference (EPC minus UC) in the BAI was 4.6 (95% CI − 0.8 to 10.0) at 5-month follow-up and 5.0 (95% CI − 1.2 to 11.1) at the 8-month follow-up.
In terms of HRQL, the mean difference in EQ-5D-5 L index and Visual Analogue Scale (VAS) scores (adjusted for baseline score) between EPC and UC at 5-month follow-up was 0.045 (95% CI − 0.023 to 0.113) and − 0.014 (95% CI − 0.145 to 0.064), respectively. At 8 months the mean differences were − 0.041 (95% CI − 0.145, 0.064) for the EQ-5D-5 L index and 1 (95% CI − 17, 19) for the VAS scores, respectively. The mean difference in HeartQoL (adjusted for baseline score) between EPC and UC at 5-month follow-up was − 8.2 (95% CI − 14.9 to − 1.4), although by 8 months, this difference was negligible (0.1, 95% CI − 7.9 to 8.0).
At 5 months, participants in both arms reported a positive experience of their care on both the CSQ-8 and the FFT (Table 6), although there was some evidence that individuals receiving EPC reported higher satisfaction levels. For example, all the participants in the EPC arm were extremely satisfied with the amount of help they received (11/11), and most of the participants in the UC arm were extremely satisfied (8/13). The majority of participants in both arms were extremely likely to recommend the service to friends and family (EPC = 11/13; UC = 10/14).
Table 6.
Patient-reported outcome; n (%) | UC, N = 14 | EPC, N = 13 |
---|---|---|
Client Satisfaction Questionnaire | ||
How would you rate the quality of service you have received? | N = 13 | N = 11 |
Excellent | 9 (69) | 9 (82) |
Good | 3 (23) | 2 (18) |
Fair | 1 (8) | 0 (0) |
Poor | 0 (0) | 0 (0) |
Did you get the kind of service you wanted?a | N = 13 | N = 11 |
Yes, definitely | 8 (62) | 10 (91) |
Yes, generally | 5 (38) | 1 (9) |
To what extent has our programme met your needs?a | N = 13 | N = 11 |
Almost all of my needs have been met | 9 (69) | 9 (82) |
Most of my needs have been met | 3 (23) | 2 (18) |
Only a few of my needs have been met | 1 (8) | 0 (0) |
If a friend were in need of similar help, would you recommend our programme to him or her?a | N = 14 | N = 11 |
Yes, definitely | 9 (64) | 11 (100) |
Yes, I think so | 5 (36) | 0 (0) |
How satisfied are you with the amount of help you have received?a | N = 13 | N = 11 |
Very satisfied | 8 (62) | 11 (100) |
Mostly satisfied | 5 (38) | 0 (0) |
Have the services you received helped you to deal more effectively with your problems?a | N = 13 | N = 11 |
Yes, they helped a great deal | 8 (62) | 9 (82) |
Yes, they helped somewhat | 5 (38) | 2 (18) |
In an overall, general sense, how satisfied are you with the services you have received?a | N = 13 | N = 11 |
Very satisfied | 9 (69) | 10 (91) |
Mostly satisfied | 4 (31) | 1 (9) |
If you were to seek help again, would you come back to our programme?a | N = 13 | N = 11 |
Yes, definitely | 7 (54) | 10 (91) |
Yes, I think so | 4 (31) | 1 (9) |
No, I don’t think so | 2 (15) | 0 (0) |
Friends and Family Test | ||
How likely are you to recommend this help or support to friends and family if they needed similar care or treatment?a | N = 14 | N = 13 |
Extremely likely | 10 (71) | 11 (85) |
Likely | 4 (29) | 0 (0) |
I did not receive any help or support | 0 (0) | 2 (15) |
EPC Enhanced Psychological Care, UC usual care
aResponses were highly skewed to positive assessments. Unless reported, no participants used the neutral or negative response categories provided
Calculating the required samples size for a future trial
Assuming an ICC of 0.05, we estimated the sample size in each of scenarios for a future, definitive cluster RCT based on the BDI-II MCID observed at the 8-month follow-up Additional file 1: Table S4). An adequately powered definitive cluster RCT would require 50 cardiac teams and 650 participants (13 participants recruited per team), randomising 25 cardiac teams and 325 participants to each trial arm. This sample size is large enough to detect an effect size of 0.35 SD units on the BDI-II with 90% power at the two-sided 5% level of significance. Consistent with our pilot data, this calculation assumed 80% follow-up at participant level at 8 months. Using pilot data, on average it took a cardiac team 1.38 months to recruit a participant. Thus, the length of recruitment for the definitive trial is estimated to be 18 months (13 × 1.38).
Methods to support economic evaluation
Costing the intervention
The estimated elements of costs, and the cost per participant receiving the EPC intervention is presented in Table 7.
Table 7.
Unitsd | Unit costs £ | Cost £ | |
---|---|---|---|
Initial costs | |||
For 15 nurses attending training (trainers’ and facilitator’s time, delivery and preparation) | 45 + 41 ha | Various | 7157 |
Nurse training (nurses’ time) | 56 + 21 hc | 35b | 2695 |
Nurse manuals (printing) | 8 manuals | 4 | 32 |
Ongoing costs | |||
Telephone clinical supervision of behavioural activation (BA) delivery | 35 h | 50 | 1750 |
Nurses’ time for having supervision (estimated 50 h overall) | 50 h | 35b | 1750 |
Total overhead cost of providing EPC | 13,384 | ||
Number of participants in EPC trial arm | 15 | ||
Mean allocated overhead cost of EPC per patient (in feasibility trial) | 892 | ||
Per participant nurse time for delivering EPC within cardiac rehabilitation sessions | 1.8 hc | 35b | 63 |
Patient booklet print costs | 1 | 4 | 4 |
Estimated cost per EPC recipient | 959 |
aTwo figures presented as EPC training was delivered to two different nurse cohorts
bCost per working hour for a Band-5 hospital-based nurse (excluding qualification costs). Unit Costs of Health and Social Care 2015, PSSRU
cMean of 7.8 rehabilitation sessions attended. First, mid-point and final session 20 min each; other 4.8 sessions 10 min each = mean of 1 h 48 mins per participant in total
dData sources: trial records (e.g. invoices) or interviews with relevant study personnel, unless otherwise stated
The calculation of intervention costs makes no adjustment for the small scale of the pilot trial, and so it is inevitably an overestimate of what the actual cost would be if the intervention were to be delivered routinely to larger numbers of patients. For example, here the initial nurse training costs account for a significant proportion of the overall cost of providing EPC, and the relative contribution to the cost per patient will reduce as a larger number of patients receiving EPC over a longer period. The estimated time that nurses take to deliver EPC elements within rehabilitation accounts for a relatively small amount of the overall cost (£63 of the estimated £959 per participant).
Participants self-reported service use in the time periods (baseline to 5 months, and 5 months to 8 months). The types of health service used and associated costs are presented in the Additional file 1: Table S5. All participants reported using GP services in both periods, and the majority also had hospital outpatient appointments. Although a minority had hospital inpatient stays, these account for a large proportion of the total costs of health care use.
Due to the small sample size, any differences in costs between the trial arms should not be interpreted, as they could easily be due to chance. However, these costs could provide useful point estimates and SDs for planning future definitive randomised trials of similar interventions in similar patient groups, as do the data presented previously on HRQL and EQ-5D-5 L index scores (Table 5).
Sources of data to support economic evaluation
Service-use data for the total 8-month follow-up period were available from GP records for 27/29 participants and via self-report for 17/29 participants. For the 17 participants with data from both sources, we calculated the level of agreement for the number of GPs or practice nurses visits, emergency department visits and inpatient hospital admissions (Additional file 1: Table S6). The lowest agreement was observed for the number of visits to GPs or practice nurses, with no participants recalling the same number of GP visits as recorded in GP notes, and only 3/17 (18%) of participants recalling the same number of practice nurse visits. In contrast, 11/17 (65%) participants recalled the same number of emergency department attendances as their GP records show, and 14/17 (82%) of participants recalled the same number of hospital inpatient stays. While the crude agreement was variable for all four types of health service use there seems to be no systematic tendency to either over-estimate or under-estimate service usage. For example, while crude agreement between sources was poor for GP visits, the mean number of GP visits was the same whether calculated from self-report or GP records data.
Cardiac nurse notes only consistently recorded the use of hospital services and thus the level of agreement could only be estimated for the number of hospital admissions reported by participants and nurse records. The crude agreement was high (15/17; 88%) between participant reports and nurse records of inpatient stays for the 8-month follow-up period. The mean (SD) number of self-reported hospital admissions was 0.5 (0.9) compared with 0.3 (0.6) as recorded in nurse notes (intraclass correlation coefficient = 0.55). No participants underestimated the number of hospital stays, although two individuals overestimated hospital admissions.
Discussion
In this pilot trial, we successfully tested the methods and procedures required to undertake a fully powered evaluation of using cardiac rehabilitation nurses to implement EPC for their patients with new-onset depression. We recruited eight cardiac rehabilitation nursing teams drawn from a range of settings in South West England and the West Midlands, and compared a range of outcomes against those observed in UC. While the cluster randomisation process was successfully implemented, the withdrawal of one randomised team required responsive action from the research team.
Of 614 patients screened for eligibility over a 6-month recruitment period, 55 met trial eligibility criteria, of whom 29 provided baseline data. Follow-up rates at 5- and 8- months post baseline were 93% and 81%, respectively. A further 21 patients met baseline eligibility criteria, but were not eligible for inclusion on account of having received pre-existing treatment for depression. We were unable to recruit patients from ethnic minority backgrounds. This, and other observed imbalances between the two trial arms, are likely to be addressed in a larger, fully powered study.
We successfully collected participant outcome data to inform key design parameters of a future, definitive trial, such as recruitment and attrition rates, and participant-reported outcomes. In addition, we undertook a case note review of cardiac nurse and GP notes. A review of these procedures suggested that a future trial might require capture of data from case note review of cardiology records for some domains. Collection of BDI-II data proved satisfactory with only minimal missing data. Although the number of patients completing the 8-month follow-up was small, we were able to estimate the distribution of BDI-II scores, and investigate several approaches to calculate treatment effects for depression status at follow-up. We were also able to show that an adequately powered definitive cluster RCT would be challenging. The National Audit of Cardiac Rehabilitation identified 266 cardiac rehabilitation teams in England in 2013–2014 [1]. Our sample size calculations estimated that a definitive RCT would be required to recruit 50 cardiac teams and 650 participants (recruiting for 18 months) to detect a clinically meaningful difference in depression severity (BDI-II) between EPC and UC arms.
In undertaking our economic evaluation, relevant data were captured with a view to identifying costs across the whole system of care. Service-use data were collected from routine and administrative sources, as well as via participant self-report. We encountered challenges in identifying time spent by nurses in delivering EPC since this was distributed across all of the nurse interactions with the patient rather than in discrete, quantifiable periods of consultation time. Our study found some evidence to support the use of self-report service-use data, particularly regarding recall of emergency department attendance, hospital admission and GP attendance. Although intensive, requiring considerable researcher effort, our data capture processes appeared satisfactory.
The findings from a nested qualitative study have been reported elsewhere [29], the core findings of which are summarised here. Some patients who might have benefitted from EPC did not attend subsequent cardiac rehabilitation sessions. In addition, some eligible patients were not offered EPC because of nurse workload. Some patients chose not to take part in the trial, reporting that they did not identify themselves as experiencing ‘low mood’, or did not wish to receive more information relating to their cardiac event. EPC participants, however, viewed one-to-one dedicated nurse time addressing psychological issues as important in helping them achieve timely recovery from their depression. In addition, some patients identified and valued the holistic approach to care. Despite this, it was clear that explanation of BA as a key component of EPC was needed, and that approaches to delivering the intervention need to be tailored to the needs of the individual.
Qualitative interviews with nurses [29] revealed that they felt equipped to deliver the EPC intervention, and valued training in mental health care coordination and mental health risk assessment, particularly in respect of the use of the PHQ-9 instrument during their initial screening appointment. While participating nurses were generally supportive of the study, it was evident that accommodating EPC within the context of their existing workload proved extremely challenging and ultimately unsustainable; this has the potential to undermine the viability of any future trial.
Strengths and weaknesses
This external pilot study benefitted from a multi-methods approach, adopted to address clear and pre-specified research aims. We successfully developed and delivered an intervention providing EPC to patients who were depressed following an acute cardiac event, and who were attending a cardiac rehabilitation programme. Nested qualitative data found the intervention to be broadly acceptable to patients, and was welcomed by patients as reflecting a holistic approach to their care [23, 28, 29]. The intervention was developed by experts in the field and supported by the development of two manuals, targeting nurses and patients. Nurse-participants welcomed the opportunity of extending their clinical expertise, particularly in gaining confidence around the risk assessment of the psychological status of patients attending cardiac rehabilitation.
We successfully recruited cardiac rehabilitation teams and depressed participants being managed by these teams to the pilot study, although we were unable to meet recruitment targets, largely because of nurse-participant workload limiting nurses’ ability to accommodate the intervention within routine care, combined with a lower than anticipated rate of eligible and consenting patients.
In line with the original commissioning brief, our intention was to recruit patients who had evidence of new-onset depression occurring since the cardiac event, and as a result approximately a quarter of all patients identified with depressive symptoms during screening were excluded due to being actively treated for depression in the previous 6 months. While having an obvious impact on the sample size available for recruitment, it also possible that patients with pre-existing depression might also benefit from improved access to psychological care in cardiac rehabilitation settings, although this remains untested in our research.
Selection bias is a known feature of cluster randomised trials where participants are recruited after clusters have been randomised and the recruiting clinician is not blind to the treatment allocation [59]; to explore this, we compared the recruitment rates and participant characteristics at baseline between the trial arms. Recruitment rates were broadly comparable, although there was some imbalance in participant characteristics and outcomes at baseline between trial arms with EPC arm participants were younger, from more deprived areas, and with higher depression scores than UC participants. While these findings may have arisen by chance due to the small number of clusters and participants recruited into this pilot trial, the potential for selection bias remains an important design consideration for a future, definitive trial.
Although we reported effect sizes and associated 95% CIs for between-group differences in participant-reported outcomes (including the BDI-II), as this was a pilot study we did not use analytic methods that allow for clustering as the number of clusters and participants per cluster were too small. Our results provided important new data to inform future sample size calculations; however, we do not report p values for the observed effects and the confidence intervals must be interpreted with caution due to the lack of adjustment for clustering in the data.
We undertook follow-up of trial participants over a period of 8 months, and achieved good follow-up rates. Challenges of delayed recruitment, combined with funding constraints, meant that a small number of patients could only be followed up at our primary endpoint (5 months), rather than the full 8 months. Furthermore, we were unable to recruit patients from ethnic minority backgrounds, which potentially threatens the external validity of trial results, although the reasons why we were unable to do so were not entirely clear.
Substantial challenges were encountered in embedding supported EPC within routine cardiac rehabilitation, even when the intervention itself was largely patient-led, informed by principles of behaviour activation. Thus, while nurses and patients welcomed the focus on psychological aspects of care, workload challenges for cardiac rehabilitation nurses significantly limited the potential to effectively deliver this within the context of routine cardiac rehabilitation.
Findings in context
In 2012, Leung et al. [6] reported the findings of a meta-analysis of 22 cohort studies investigating what timeframe around depression onset was associated with greater mortality and cardiac morbidity. Estimates of the prevalence of new-onset depression ranged from 5.5 to 27.9% and recurrent depression from 5.1 to 41.4%. The pooled analysis identified that both pre-ACS diagnosed depression and post-ACS diagnosed depression were potentially hazardous. Given this observation, excluding patients with pre-ACS depression from a future similar trial may be inappropriate.
The recently reported COBRA trial [64] identified the potential for effective psychological therapy targeting depression, such as we adopted here, to be delivered without the need for using costly and highly trained professionals. Given the key constraint of cardiac nurse workload identified in our study, embedding psychological practitioners within cardiac rehabilitation teams might better meet the mental health needs of such patients.
While the CADENCE study was ongoing, in 2016 Blumenthal et al. [65] published a RCT in the US that found that providing cardiac rehabilitation enhanced by stress management training delivered by psychological practitioners was associated with significant reductions in stress and the rate of adverse clinical events when compared with standard cardiac rehabilitation alone. Thus, although not directly addressing depression, Blumenthal and colleagues’ study provides further support for the incorporation of targeted psychological support for psychologically vulnerable groups of patients in the context of cardiac rehabilitation.
Implications for future research
While EPC is desirable, embedding our nurse-supported EPC intervention within routine cardiac rehabilitation practice is not realistic in the current UK setting. One alternative might be use dedicated psychological-wellbeing practitioners, trained in the delivery of low-intensity psychological therapies, to deliver the intervention working closely with, and preferably embedded within, routine cardiac rehabilitation services. This change in EPC intervention would require new feasibility testing prior to undertaking a full-powered trial.
From a trial perspective, we successfully followed up patients at both 5 and 8 months. However, a future trial might consider a longer period of follow-up to allow sufficient time to accrue data on clinical events, although this would add considerably to the cost of a future trial. The BDI-II functioned effectively as an outcome for assessing the severity of depression, although consideration might be given to precisely which threshold might be implemented to secure a suitable group of patients for a future fully powered trial. Our data provide the basis for assessment of the size of a future fully powered study. It is likely that such a study would involve a cluster randomised design and include patients with pre-existing depression as well as those new-onset depression following a recent acute cardiac event. Given the observations reported here, it is likely that a future study would be considerably larger in scope; for example, potentially extending across a substantial proportion of cardiac rehabilitation teams currently operating in the UK.
Conclusion
Cardiac rehabilitation nurses can be trained to deliver EPC. While valued by both patients and nurses, organisational and workload constraints are significant barriers to implementation. There remains a need to develop and test new models of psychological care within cardiac rehabilitation. This pilot study offers important data to inform the design and implementation of future trials of similar interventions to provide psychological care for patients with depression attending cardiac rehabilitation.
Additional file
Acknowledgements
We would like to thank Dr. Christine Wright, Mr. Luke Knight and Dr. David Kessler who made a substantive contributions to the design and set-up of the pilot RCT. We also thank the external members of the CADENCE Trial Steering Committee for their ongoing advice and support for the project: Professor Glyn Lewis (University College London), Professor Anne Rogers (Southampton University), Professor Gill Furze (Coventry University, President of BACPR), Dr. Sally Kerry (Queen Mary’s University London), Reverend Paul Lanham (Patient Representative), Mr. Ron Grant (Patient Representative). We are also grateful to our Patient and Public Involvement Group for their insightful advice and input throughout the trial.
We thank the staff and patients of our participating cardiac rehabilitation programmes who gave generously of their time to support the study. We also thank staff from the NIHR Clinical Research Network South West Peninsula and our sponsors, the Royal Devon and Exeter NHS Foundation Trust, who continue to provide us with valuable advice and support in the conduct of this trial.
Funding
This project was funded by the UK NIHR Health Technology Assessment Programme (project number 12/189/06). The Royal Devon and Exeter NHS Foundation Trust is acting as trial sponsor. The Funding Agency and trial sponsors have not been substantively involved in the design, or data acquisition for this research, nor the drafting of this manuscript; the views and opinions expressed in this paper are those of the authors and do not necessarily reflect those of the Health Technology Assessment Programme, NIHR, NHS or the Department of Health.
Rob Anderson, John Campbell, Christopher Dickens, David Richards, Suzanne Richards, Rod Taylor, Obioha Ukoumunne and Fiona Warren were centrally funded by the University of Exeter Medical School. Suzanne Richards was also centrally funded by the University of Leeds during the drafting of this manuscript. Katrina Turner is funded by the University of Bristol, Andrew Gibson by the University of the West of England and Willem Kuyken by Oxford University. Katrina Turner is also supported by the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care West (CLAHRC West) at University Hospitals Bristol NHS Foundation Trust. Manish Gandhi is funded by the Royal Devon and Exeter NHS Foundation Trust. Antoinette Davey and Rachel Winder were employed by the University of Exeter Medical School on the above funding award. David Richards, Rod Taylor and Obioha Ukoumunne are also supported by the NIHR Collaboration for Leadership in Applied Health Research and Care South West Peninsula.
Availability of data and materials
The study is stored in a secure repository at the University of Exeter Medical School. Although not publically available, requests to access the dataset will be considered, and sent to the chief investigator, Professor John Campbell.
Abbreviations
- ADM
Antidepressant medication
- AE
Adverse event
- BA
Behavioural activation
- BACPR
British Association for Cardiovascular Prevention and Rehabilitation
- BADS-SF
Behavioural Activation for Depression Scale – Short Form
- BAI
Beck Anxiety Inventory
- BDI-II
Beck Depression Inventory – Version 2
- BMI
Body Mass Index
- CABG
Coronary artery bypass grafting
- CIS-R
Revised Clinical Interview Schedule
- CSQ-8
Client Satisfaction Questionnaire-8 (CSQ-8)
- CSRC
Clinically significant and reliable change
- EQ-5D
EuroQoL Index
- FFT
Friends and Family Test
- IAPT
Improving Access to Psychological Therapies
- ICC
Intra-cluster correlation coefficient
- MCID
Minimal clinically important difference
- MI
Myocardial infarction
- NHS
National Health Service
- NIHR
National Institute for Health Research
- PCI
Percutaneous coronary intervention
- PHQ-9
Patient Health Questionnaire-9
- SAE
Serious adverse event
- SD
Standard deviation
- SRUQ
Service and Resource Use Questionnaire
- UK
United Kingdom
Authors’ contributions
JC was chief investigator and co-conceived and designed the study with the involvement of SHR, CD and DAR. MG and RST provided clinical expertise regarding cardiology and cardiac rehabilitation service organisation and CD, DK and WK designed the Enhanced Psychological Care intervention under the lead of DAR. SHR was the scientific lead and drafted the study protocol. SHR and CW jointly secured ethics and NHS research and development approvals with input from RW and AD, and the methodological leads for qualitative (KMT), statistical (OU), economic (RA) and Patient and Public Involvement (AG) elements of the study design. The study researcher (RW) drafted materials to support the study implementation and ethics review, and developed methods to ensure successful implementation of the study protocol. The study researchers (AD, RW) collected the patient and nurse data. FW was the trial analyst, contributing to the development of both statistical and economic analysis plans. SHR, CD and JC drafted the manuscript. All authors contributed to editing of the final manuscript and the refining of its intellectual content. All authors read and approved the final manuscript.
Ethics approval and consent to participate
The CADENCE study protocol (version 4, 19 June 2015), was reviewed and received a favourable ethical opinion from the NHS National Research Ethics Service Committee South West – Exeter (reference: 14/SW/0139). All nurse and patient participants provided written consent prior to participating in this study.
Consent for publication
Not applicable
Competing interests
RST is a co-chief investigator on the REACH-HF programme of research, which is developing and evaluating a home-based cardiac rehabilitation intervention for people with heart failure and their carers (NIHR PGfAR RP-PG-0611-12,004) and leads a portfolio of Cochrane reviews of cardiac rehabilitation that includes psychological interventions. None of the other authors have any competing interests to declare.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Footnotes
Electronic supplementary material
The online version of this article (10.1186/s13063-018-2576-9) contains supplementary material, which is available to authorized users.
Contributor Information
Suzanne H. Richards, Email: s.h.richards@leeds.ac.uk
Chris Dickens, Email: c.m.dickens@exeter.ac.uk.
Rob Anderson, Email: r.anderson@exeter.ac.uk.
David A. Richards, Email: d.a.richards@exeter.ac.uk
Rod S. Taylor, Email: r.taylor@exeter.ac.uk
Obioha C. Ukoumunne, Email: o.c.ukoumunne@exeter.ac.uk
Katrina M. Turner, Email: katrina.turner@bristol.ac.uk
Manish Gandhi, Email: manish.gandhi@nhs.net.
Willem Kuyken, Email: willem.kuyken@psych.ox.ac.uk.
Andrew Gibson, Email: andy.gibson@uwe.ac.uk.
Antoinette Davey, Email: antoinette.davey@exeter.ac.uk.
Fiona Warren, Email: f.c.warren@exeter.ac.uk.
Rachel Winder, Email: r.e.winder@exeter.ac.uk.
John Campbell, Email: john.campbell@exeter.ac.uk.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The study is stored in a secure repository at the University of Exeter Medical School. Although not publically available, requests to access the dataset will be considered, and sent to the chief investigator, Professor John Campbell.