Effectiveness of collaborative care in reducing suicidal ideation: An individual participant data meta-analysis.

To assess whether CC is more effective at reducing suicidal ideation in people with depression compared with usual care, and whether study and patient factors moderate treatment effects. METHOD: We searched Medline, Embase, PubMed, PsycINFO, CINAHL, CENTRAL from inception to March 2020 for Randomised Controlled Trials (RCTs) that compared the effectiveness of CC with usual care in depressed adults, and reported changes in suicidal ideation at 4 to 6 months post-randomisation. Mixed-effects models accounted for clustering of participants within trials and heterogeneity across trials. This study is registered with PROSPERO, CRD42020201747. RESULTS: We extracted data from 28 RCTs (11,165 patients) of 83 eligible studies. We observed a small significant clinical improvement of CC on suicidal ideation, compared with usual care (SMD, -0.11 [95%CI, -0.15 to -0.08]; I2, 0·47% [95%CI 0.04% to 4.90%]). CC interventions with a recognised psychological treatment were associated with small reductions in suicidal ideation (SMD, -0.15 [95%CI -0.19 to -0.11]). CC was more effective for reducing suicidal ideation among patients aged over 65 years (SMD, - 0.18 [95%CI -0.25 to -0.11]). CONCLUSION: Primary care based CC with an embedded psychological intervention is the most effective CC framework for reducing suicidal ideation and older patients may benefit the most.

Assessing Costs Using the Treatment Inventory Cost in Psychiatric Patients (TIC-P), TIC-P Mini and TIC-P Midi.

BACKGROUND: The Treatment Inventory Cost in Psychiatric patients (TIC-P) instrument is designed to measure societal costs in patients with psychiatric disorders and to be applied in economic evaluations. Efforts have been made to minimize respondents' burden by reducing the number of questions and meanwhile retaining the comprehensiveness of the instrument. Previously, a TIC-P Mini version and a TIC-P Midi version were developed and tested in a predominantly inpatient patient population. AIMS OF THE STUDY: The aims of this study are to examine the comprehensiveness of the abridged questionnaires in estimating the societal costs for patients with anxiety or depressive disorders and to assess the impact of productivity costs on the total costs. METHODS: The comprehensiveness of the abridged versions of the TIC-P was assessed in four populations: a group of primary care patients with anxiety disorders (n=175) and three groups of patients with major depressive disorders in various outpatient settings (n=140; n=125; and n=79). Comprehensiveness was measured using the proportion of total health care costs and productivity costs covered by the abridged versions compared to the full-length TIC-P. Costs were calculated according to the guidelines for costing studies using the Dutch costing manual. RESULTS: Our results showed that the TIC-P Mini covered 26%-64% of health care costs and the TIC-P Midi captured 54%-79% of health care costs. Health care costs in these populations were predominantly dispersed over primary care, outpatient hospital care, outpatient specialist care and inpatient hospital care. The TIC-P Midi and TIC-P Mini captured 22% and 0% of primary care costs respectively. In contrast, inpatient hospital care costs and outpatient specialist mental health care costs were almost fully included in the abridged versions. Costs due to lost productivity as measured by the full-length TIC-P were substantial, representing 38% to 92% of total costs. DISCUSSION: A reduction of the number of items resulted in a substantial loss in the ability to measure health care costs compared to the full-length TIC-P, because these outpatient populations consumed health care from a variety of health care providers. Two limitations of the study need to be stressed. Firstly, the number of patients in each of the four studies was relatively small. However, results were consistent over the four studies despite the small number of patients. Secondly, we did not take costs of medication into account. IMPLICATIONS FOR HEALTH POLICIES: In developing mental health policy, it is important to include considerations on cost-effectiveness. Increasing the evidence on instruments to measure costs from a societal perspective may support policymakers to adopt a broader perspective. IMPLICATIONS FOR FURTHER RESEARCH: The TIC-P Mini is not suitable to capture health care costs in outpatients with anxiety or depressive disorders. The comprehensiveness of TIC-P Midi compared to the full-length TIC-P varied. The TIC-P Midi should therefore be revised in order to better capture costs in all patient groups.

Effectiveness of a digital platform-based implementation strategy to prevent work stress in a healthcare organization: a 12-month follow-up controlled trial.

Objectives Healthcare workers frequently deal with work stress. This is a risk factor for adverse mental and physical health effects. The objective of this study was to investigate the effectiveness of a digital platform-based implementation strategy - compared to a control group - on stress, work stress determinants (ie. psychosocial work factors) and the level of implementation among healthcare workers. Methods By way of matching, 30 teams from a healthcare organization were assigned to the experimental (15 teams; N=252) or wait-list control (15 teams; N=221) group. The experimental group received access to the strategy for 12 months. They were asked to complete the 5-step protocol within six months. The primary outcome was stress (DASS-21) and secondary outcomes were psychological demands, social support, autonomy, and the level of implementation. Questionnaire-based data were collected at baseline, and at 6- and 12-months follow-up. Linear mixed model analyses were used to test differences between the two groups. Results In total, 210 participants completed the baseline questionnaire and at least one follow-up questionnaire. There was a significant effect of the strategy on stress in favor of the experimental group [B=-0.95, 95% confidence interval (CI) -1.81 - -0.09]. No statistically significant differences were found for any secondary outcomes. Conclusions The strategy showed potential for primary prevention of work stress, mainly explained by an increase in stress in the control group that was prevented in the experimental group. More research is necessary to assess the full potential of the strategy.

Return-to-work intervention versus usual care for sick-listed employees: health-economic investment appraisal alongside a cluster randomised trial.

OBJECTIVE: To evaluate the health-economic costs and benefits of a guided eHealth intervention (E-health module embedded in Collaborative Occupational healthcare (ECO)) encouraging sick-listed employees to a faster return to work. DESIGN: A two-armed cluster randomised trial with occupational physicians (OPs) (n=62), clustered and randomised by region into an experimental and a control group, to conduct a health-economic investment appraisal. Online self-reported data were collected from employees at baseline, after 3, 6, 9 and 12 months. SETTING: Occupational health care in the Netherlands. PARTICIPANTS: Employees from small-sized and medium-sized companies (≥18 years), sick-listed between 4 and 26 weeks with (symptoms of) common mental disorders visiting their OP. INTERVENTIONS: In the intervention group, employees (N=131) received an eHealth module aimed at changing cognitions regarding return to work, while OPs were supported by a decision aid for treatment and referral options. Employees in the control condition (N=89) received usual sickness guidance. OUTCOMES MEASURES: Net benefits and return on investment based on absenteeism, presenteeism, health care use and quality-adjusted life years (QALYs) gained. RESULTS: From the employer's perspective, the incremental net benefits were €3187 per employee over a single year, representing a return of investment of €11 per invested Euro, with a break-even point at 6 months. The economic case was also favourable from the employee's perspective, partly because of QALY health gains. The intervention was costing €234 per employee from a health service financier's perspective. The incremental net benefits from a social perspective were €4210. This amount dropped to €3559 in the sensitivity analysis trimming the 5% highest costs. CONCLUSIONS: The data suggest that the ECO intervention offers good value for money for virtually all stakeholders involved, because initial investments were more than recouped within a single year. The sometimes wide 95% CIs suggest that the costs and benefits are not always very precise estimates and real benefits could vary considerably. TRIAL REGISTRATION: NTR2108; Results.

Stress Prevention@Work: a study protocol for the evaluation of a multifaceted integral stress prevention strategy to prevent employee stress in a healthcare organization: a cluster controlled trial.

BACKGROUND: Adequate implementation of work-related stress management interventions can reduce or prevent work-related stress and sick leave in organizations. We developed a multifaceted integral stress-prevention strategy for organizations from several sectors that includes a digital platform and collaborative learning network. The digital platform contains a stepwise protocol to implement work-related stress-management interventions. It includes stress screeners, interventions and intervention providers to facilitate access to and the selection of matching work-related stress-management interventions. The collaborative learning network, including stakeholders from various organizations, plans meetings focussing on an exchange of experiences and good practices among organizations for the implementation of stress prevention measures. This paper describes the design of an integral stress-prevention strategy, Stress Prevention@Work, and the protocol for the evaluation of: 1) the effects of the strategy on perceived stress and work-related outcomes, and 2) the barriers and facilitators for implementation of the strategy. METHODS: The effectiveness of Stress Prevention@Work will be evaluated in a cluster controlled trial, in a large healthcare organization in the Netherlands, at six and 12 months. An independent researcher will match teams on working conditions and size and allocate the teams to the intervention or control group. Teams in the intervention group will be offered Stress Prevention@Work. For each intervention team, one employee is responsible for applying the strategy within his/her team using the digital platform and visiting the collaborative learning network. Using a waiting list design, the control group will be given access to the strategy after 12 months. The primary outcome is the employees' perceived stress measured by the stress subscale of the Depression, Anxiety, and Stress Scale (DASS-21). Secondary outcome measures are job demands, job resources and the number of preventive stress measures implemented at the team level. Alongside the trial, a process evaluation, including barriers and facilitators of the implementation of Stress Prevention@Work, will be conducted in one healthcare organisation. DISCUSSION: If Stress Prevention@Work is found to be effective in one healthcare organisation, further implementation on a broader scale might lead to increased productivity and decreased stress and sick leave in other organizations. Results are expected in 2018. TRIAL REGISTRATION: NTR5527 . Registered 7 Dec 2015.

Association Between Chronic Physical Conditions and the Effectiveness of Collaborative Care for Depression: An Individual Participant Data Meta-analysis.

IMPORTANCE: Collaborative care is an intensive care model involving several health care professionals working together, typically a physician, a case manager, and a mental health professional. Meta-analyses of aggregate data have shown that collaborative care is particularly effective in people with depression and comorbid chronic physical conditions. However, only participant-level analyses can rigorously test whether the treatment effect is influenced by participant characteristics, such as chronic physical conditions. OBJECTIVE: To assess whether the effectiveness of collaborative care for depression is moderated by the presence, type, and number of chronic physical conditions. DATA SOURCES: Data were obtained from MEDLINE, EMBASE, PubMed, PsycINFO, CINAHL Complete, and Cochrane Central Register of Controlled Trials, and references from relevant systematic reviews. The search and collection of eligible studies was ongoing until May 22, 2015. STUDY SELECTION: This was an update to a previous meta-analysis. Two independent reviewers were involved in the study selection process. Randomized clinical trials that compared the effectiveness of collaborative care with usual care in adults with depression and reported measured changes in depression severity symptoms at 4 to 6 months after randomization were included in the analysis. Key search terms included depression, dysthymia, anxiety, panic, phobia, obsession, compulsion, posttraumatic, care management, case management, collaborative care, enhanced care, and managed care. DATA EXTRACTION AND SYNTHESIS: Individual participant data on baseline demographics and chronic physical conditions as well as baseline and follow-up depression severity symptoms were requested from authors of the eligible studies. One-step meta-analysis of individual participant data using appropriate mixed-effects models was performed. MAIN OUTCOMES AND MEASURES: Continuous outcomes of depression severity symptoms measured using self-reported or observer-rated measures. RESULTS: Data sets from 31 randomized clinical trials including 36 independent comparisons (N = 10 962 participants) were analyzed. Individual participant data analyses found no significant interaction effects, indicating that the presence (interaction coefficient, 0.02 [95% CI, -0.10 to 0.13]), numbers (interaction coefficient, 0.01 [95% CI, -0.01 to 0.02]), and types of chronic physical conditions do not influence the treatment effect. CONCLUSIONS AND RELEVANCE: There is evidence that collaborative care is effective for people with depression alone and also for people with depression and chronic physical conditions. Existing guidance that recommends limiting collaborative care to people with depression and physical comorbidities is not supported by this individual participant data meta-analysis.

Effectiveness of a blended web-based intervention on return to work for sick-listed employees with common mental disorders: results of a cluster randomized controlled trial.

BACKGROUND: Common mental disorders are strongly associated with long-term sickness absence, which has negative consequences for the individual employee's quality of life and leads to substantial costs for society. It is important to focus on return to work (RTW) during treatment of sick-listed employees with common mental disorders. Factors such as self-efficacy and the intention to resume work despite having symptoms are important in the RTW process. We developed "E-health module embedded in Collaborative Occupational health care" (ECO) as a blended Web-based intervention with 2 parts: an eHealth module (Return@Work) for the employee aimed at changing cognitions of the employee regarding RTW and a decision aid via email supporting the occupational physician with advice regarding treatment and referral options based on monitoring the employee's progress during treatment. OBJECTIVE: This study evaluated the effect of a blended eHealth intervention (ECO) versus care as usual on time to RTW of sick-listed employees with common mental disorders. METHODS: The study was a 2-armed cluster randomized controlled trial. Employees sick-listed between 4 and 26 weeks with common mental disorder symptoms were recruited by their occupational health service or employer. The employees were followed up to 12 months. The primary outcome measures were time to first RTW (partial or full) and time to full RTW. Secondary outcomes were response and remission of the common mental disorder symptoms (self-assessed). RESULTS: A total of 220 employees were included: 131 participants were randomized to the ECO intervention and 89 to care as usual (CAU). The duration until first RTW differed significantly between the groups. The median duration was 77.0 (IQR 29.0-152.3) days in the CAU group and 50.0 (IQR 20.8-99.0) days in the ECO group (hazard ratio [HR] 1.390, 95% CI 1.034-1.870, P=.03). No significant difference was found for duration until full RTW. Treatment response of common mental disorder symptoms did not differ significantly between the groups, but at 9 months after baseline significantly more participants in the ECO group achieved remission than in the CAU group (OR 2.228, 95% CI 1.115-4.453, P=.02). CONCLUSIONS: The results of this study showed that in a group of sick-listed employees with common mental disorders, applying the blended eHealth ECO intervention led to faster first RTW and more remission of common mental disorder symptoms than CAU. TRIAL REGISTRATION: Netherlands Trial Register NTR2108; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=2108. (Archived by WebCite at http://www.webcitation.org/6YBSnNx3P).

Let's get back to work: survival analysis on the return-to-work after depression.

PURPOSE: Absence from work due to mental disorders is substantial. Additionally, long-term absence from work is associated with a reduced probability of return-to-work (RTW). Major depressive disorder (MDD) is a prevalent condition in Dutch occupational health care settings. An early estimate of the prognosis regarding RTW in patients with MDD could serve both as a point of departure for the identification of high-risk cases and as an instrument to monitor the course of the disorder and of RTW. In the current study, we aimed to assess the added value of health-related quality of life (HRQoL) and severity of depression to predict the time to RTW. PATIENTS AND METHODS: Data were derived from a prospective longitudinal study aimed to evaluate the cost effectiveness of a collaborative care treatment in sick-listed workers with MDD. We included demographic, job-related, and health-related variables. Severity of depression was measured using the Patient Health Questionnaire Depression Scale-9 (PHQ-9). HRQoL was measured using two generic preference-based instruments, the EuroQol 5-Dimension (EQ-5D™) and the Medical Outcomes Study Short Form Health Survey (SF-36). A survival model was constructed by applying different survival functions to assess the best fit for the data. Additionally, survival analyses were performed to assess the added value of the two HRQoL measures and depression severity for predicting RTW. RESULTS: Females and older patients had a longer time to RTW. The same was true for patients with a full-time job and patients with more decision latitude. Patients in a management position and patients with more social support had a shorter time to RTW. Severity of depression was not predictive for the time to RTW. HRQoL measured by the SF-36 was a significant predictor for the time to RTW. CONCLUSION: HRQoL emerged as a significant predictor for the time to RTW. However, severity of depression was not predictive for the time to RTW. These results suggest the importance of assessing HRQoL in addition to severity of disease to assess functionality.