The EMPOWER Occupational e-Mental Health Intervention Implementation Checklist to Foster e-Mental Health Interventions in the Workplace: Development Study.

BACKGROUND: Occupational e-mental health (OeMH) interventions significantly reduce the burden of mental health conditions. The successful implementation of OeMH interventions is influenced by many implementation strategies, barriers, and facilitators across contexts, which, however, are not systematically tracked. One of the reasons is that international consensus on documenting and reporting the implementation of OeMH interventions is lacking. There is a need for practical guidance on the key factors influencing the implementation of interventions that organizations should consider. Stakeholder consultations secure a valuable source of information about these key strategies, barriers, and facilitators that are relevant to successful implementation of OeMH interventions. OBJECTIVE: The objective of this study was to develop a brief checklist to guide the implementation of OeMH interventions. METHODS: Based on the results of a recently published systematic review, we drafted a comprehensive checklist with a wide set of strategies, barriers, and facilitators that were identified as relevant for the implementation of OeMH interventions. We then used a 2-stage stakeholder consultation process to refine the draft checklist to a brief and practical checklist comprising key implementation factors. In the first stage, stakeholders evaluated the relevance and feasibility of items on the draft checklist using a web-based survey. The list of items comprised 12 facilitators presented as statements addressing "elements that positively affect implementation" and 17 barriers presented as statements addressing "concerns toward implementation." If a strategy was deemed relevant, respondents were asked to rate it using a 4-point Likert scale ranging from "very difficult to implement" to "very easy to implement." In the second stage, stakeholders were interviewed to elaborate on the most relevant barriers and facilitators shortlisted from the first stage. The interview mostly focused on the relevance and priority of strategies and factors affecting OeMH intervention implementation. In the interview, the stakeholders' responses to the open survey's questions were further explored. The final checklist included strategies ranked as relevant and feasible and the most relevant facilitators and barriers, which were endorsed during either the survey or the interviews. RESULTS: In total, 26 stakeholders completed the web-based survey (response rate=24.8%) and 4 stakeholders participated in individual interviews. The OeMH intervention implementation checklist comprised 28 items, including 9 (32.1%) strategies, 8 (28.6%) barriers, and 11 (39.3%) facilitators. There was widespread agreement between findings from the survey and interviews, the most outstanding exception being the idea of proposing OeMH interventions as benefits for employees. CONCLUSIONS: Through our 2-stage stakeholder consultation, we developed a brief checklist that provides organizations with a guide for the implementation of OeMH interventions. Future research should empirically validate the effectiveness and usefulness of the checklist.

Cost Effectiveness of Splenic Artery Embolization versus Splenectomy after Trauma in the Netherlands.

PURPOSE: To demonstrate that splenic artery embolization (SAE) is more cost-effective than splenectomy from a societal perspective in the Netherlands. MATERIALS AND METHODS: Patient-level data obtained from the SPLENIQ study were used to populate a health economic model and were supplemented with expert opinion when necessary. Propensity score matching was used to correct for baseline differences in injury severity scores. The health economic model consisted of 3 health states (complications after intervention, SAE failure, and recovery) and a dead state. Model outcomes were incremental quality-adjusted life years (QALYs) and incremental costs of SAE over splenectomy. The Dutch health economic guidelines were followed. The model used a lifetime time horizon. Uncertainty was assessed using probabilistic sensitivity analysis and scenario analyses. RESULTS: Patients undergoing SAE had a higher life expectancy than patients undergoing splenectomy. Incremental QALYs were 3.1 (mostly explained by difference in life expectancy), and incremental costs were €34,135 (explained by costs related to medical consumption and lost productivity in additional life years), leading to an incremental cost-effectiveness ratio of €11,010 per QALY. SAE was considered cost-effective in >95% of iterations using a threshold of €20,000 per QALY. CONCLUSIONS: SAE results in more QALYs than splenectomy. Intervention costs for SAE are lower than that for splenectomy, but medical consumption and productivity costs in later years are higher for SAE due to better survival. SAE was found to be cost-effective compared with splenectomy under appropriate Dutch cost-effectiveness thresholds.

Strategies for Implementing Occupational eMental Health Interventions: Scoping Review.

BACKGROUND: The implementation of eMental health interventions, especially in the workplace, is a complex process. Therefore, learning from existing implementation strategies is imperative to ensure improvements in the adoption, development, and scalability of occupational eMental health (OeMH) interventions. However, the implementation strategies used for these interventions are often undocumented or inadequately reported and have not been systematically gathered across implementations in a way that can serve as a much-needed guide for researchers. OBJECTIVE: The objective of this scoping review was to identify implementation strategies relevant to the uptake of OeMH interventions that target employees and detail the associated barriers and facilitation measures. METHODS: A scoping review was conducted. The descriptive synthesis was guided by the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework and the Consolidated Framework for Implementation Research. RESULTS: A total of 31 of 32,916 (0.09%) publications reporting the use of the web-, smartphone-, telephone-, and email-based OeMH interventions were included. In all, 98 implementation strategies, 114 barriers, and 131 facilitators were identified. The synthesis of barriers and facilitators produced 19 facilitation measures that provide initial recommendations for improving the implementation of OeMH interventions. CONCLUSIONS: This scoping review represents one of the first steps in a research agenda aimed at improving the implementation of OeMH interventions by systematically selecting, shaping, evaluating, and reporting implementation strategies. There is a dire need for improved reporting of implementation strategies and combining common implementation frameworks with more technology-centric implementation frameworks to fully capture the complexities of eHealth implementation. Future research should investigate a wider range of common implementation outcomes for OeMH interventions that also focus on a wider set of common mental health problems in the workplace. This scoping review's findings can be critically leveraged by discerning decision-makers to improve the reach, effectiveness, adoption, implementation, and maintenance of OeMH interventions.

Measurement Instruments of Productivity Loss of Paid and Unpaid Work: A Systematic Review and Assessment of Suitability for Health Economic Evaluations From a Societal Perspective.

OBJECTIVES: This study aimed (1) to perform a systematic literature review of instruments for measuring productivity loss of paid and unpaid work and (2) to assess the suitability (in terms of identification, measurement, and valuation) of these instruments for use in health economic evaluations from a societal perspective. METHODS: Articles published from 2018 were sourced from PubMed/Medline, PsycInfo, Embase, and Econlit. Using 2 separate search strategies, eligible economic evaluations and validation studies were selected and unique measurement instruments identified. A data-extraction form was developed by studying previous literature and consulting an international panel of experts in the field of productivity costs. This data-extraction form was applied to assess the suitability of instruments for use in economic evaluations. RESULTS: A total of 5982 articles were retrieved from the databases, of which 99 economic evaluations and 9 validation studies were included in the review. A total of 42 unique measurement instruments were identified. Nine instruments provided quantified measures of absenteeism, presenteeism, and unpaid work. Five instruments supplied the necessary information to enable the use of at least 1 common valuation method. The Health and Labour Questionnaire-Short Form, Health and Labour Questionnaire, and Institute for Medical Technology Assessment Productivity Cost Questionnaire met both criteria. Nevertheless, the developers replaced the Health and Labour Questionnaire-Short Form and Health and Labour Questionnaire by the more recently developed Institute for Medical Technology Assessment Productivity Cost Questionnaire. CONCLUSIONS: Although many instruments for measuring productivity loss were identified, most were not suitable for capturing productivity changes for economic evaluations from a societal perspective. Future research can benefit from this study by making an informed instrument choice for the measurement of productivity loss of paid and unpaid work.

Patient, family and productivity costs of end-stage renal disease in the Netherlands; exposing non-healthcare related costs.

BACKGROUND: Healthcare costs related to ESRD are well-described, but broader societal costs of ESRD are less known. This study aimed to estimate patient and family costs, including informal care costs and out-of-pocket costs, and costs due to productivity loss related to ESRD, for patients receiving dialysis and living with a kidney transplant, using a bottom-up approach. METHODS: A total of 655 patients were asked to complete a digital questionnaire consisting of two standardised instruments (iMCQ and iPCQ) from November 2016 through January 2017. We applied a retrospective bottom-up cost estimation by combining data from the questionnaire with unit prices from the Dutch costing manual. RESULTS: Our study sample consisted of 230 patients, of which 165 were kidney transplant recipients and 65 received dialysis. The total annual non-healthcare related costs were estimated at €8284 (SD: €14,266) for transplant recipients and €23,488 (SD: €39,434) for dialysis patients. Costs due to productivity loss contributed most to the total non-healthcare costs (66% for transplant recipients and 65% for dialysis patients), followed by informal care costs (26% resp. 29%) and out-of-pocket costs, such as medication and travel expenses (8% resp. 6%). CONCLUSION: By exposing patient, family and productivity costs, our study revealed that dialysis and transplantation are not only costly within the healthcare system, but also incur high non-healthcare costs (18-23% resp. 35% of the total societal costs). It is important to reveal these types of non-healthcare costs in order to understand the full burden of ESRD for society and the potential impact of new therapies.

Age-related difference in health care use and costs of patients with chronic kidney disease and matched controls: analysis of Dutch health care claims data.

BACKGROUND: The financial burden of chronic kidney disease (CKD) is increasing due to the ageing population and increased prevalence of comorbid diseases. Our aim was to evaluate age-related differences in health care use and costs in Stage G4/G5 CKD without renal replacement therapy (RRT), dialysis and kidney transplant patients and compare them to the general population. METHODS: Using Dutch health care claims, we identified CKD patients and divided them into three groups: CKD Stage G4/G5 without RRT, dialysis and kidney transplantation. We matched them with two controls per patient. Total health care costs and hospital costs unrelated to CKD treatment are presented in four age categories (19-44, 45-64, 65-74 and ≥75 years). RESULTS: Overall, health care costs of CKD patients ≥75 years of age were lower than costs of patients 65-74 years of age. In dialysis patients, costs were highest in patients 45-64 years of age. Since costs of controls increased gradually with age, the cost ratio of patients versus controls was highest in young patients (19-44 years). CKD patients were in greater need of additional specialist care than the general population, which was already evident in young patients. CONCLUSION: Already at a young age and in the earlier stages of CKD, patients are in need of additional care with corresponding health care costs far exceeding those of the general population. In contrast to the general population, the oldest patients (≥75 years) of all CKD patient groups have lower costs than patients 65-74 years of age, which is largely explained by lower hospital and medication costs.

The decision tool unipolar depression (DTUD): a new measure to facilitate the early identification of patients with major depressive disorder in need of highly specialized care.

BACKGROUND: Selection of the optimal initial treatment in patients with major depressive disorder (MDD) in need of highly specialized care has the potential to benefit treatment outcomes and cost-effectiveness of treatment strategies. However, to date, there is a paucity of measures that could guide the selection of the initial treatment, in particular to indicate which patients with MDD are in need of highly specialized care. Recognizing this gap, this paper reports on the development and psychometric evaluation of the Decision Tool Unipolar Depression (DTUD), aimed to facilitate the early identification of patients with MDD in need of highly specialized care. METHODS: The DTUD was developed using a mixed-methods approach, consisting of a systematic review and a concept mapping study. To evaluate the psychometric features of the DTUD, a cross-sectional multicenter study was conducted. A total of 243 patients with MDD were evaluated with the DTUD. Feasibility was operationalized as the time required to complete the DTUD and the content clarity of the DTUD. Inter-rater reliability was evaluated using Krippendorf's alpha. The Maudsley Staging Method (MSM) and the Dutch Measure for quantification of Treatment Resistance in Depression (DM-TRD) were administered to assess the convergent validity. A receiver operator characteristic curve was generated to evaluate the criterion validity and establish the optimal cut-off value. RESULTS: The mean administration time was 4.49 min (SD = 2.71), and the content of the total DTUD was judged as clear in 94.7% of the evaluations. Inter-rater reliability values ranged from 0.69 to 0.91. Higher scores on the DTUD were associated with higher scores on the MSM (rs = 0.47) and DM-TRD (rs = 0.53). Based on the maximum Youden index (0.494), maximum discrimination was reached at a cut-off score of ≥5 (sensitivity 67%, specificity 83%). CONCLUSION: The DTUD demonstrated to be a tool with solid psychometric properties and, therefore, is a promising measure for the early identification of patients with MDD in need of highly specialized care. Use of the DTUD has the potential to facilitate the selection and initiation of the optimal initial treatment in patients with MDD, which in turn may improve the clinical effectiveness and cost-effectiveness of treatment strategies.

Unit Costs of Delinquent Acts for Use in Economic Evaluations.

BACKGROUND: Youth mental health interventions aimed at reducing substance use and delinquency in adolescents compete with other types of interventions for reimbursement from public funding. Within the youth mental health domain, delinquent acts impose high costs on society. These costs should be included in economic evaluations conducted from a societal perspective. Although the relevance of these costs is recognized, they are often left out because the unit costs of delinquent acts are unknown. AIMS OF THE STUDY: This study aims to provide a method for estimating the unit costs per perpetrator of 14 delinquent acts common in the Netherlands and included in self reported delinquency questionnaires: robbery/theft with violence, simple theft/pickpocketing, receiving stolen goods, destruction/vandalism of private or public property, disorderly conduct/discrimination, arson, cybercrime, simple and aggravated assault, threat, forced sexual contact, unauthorised driving, driving under the influence, dealing in soft drugs, and dealing in hard drugs. METHODS: Information on government expenditures and the incidence of crimes, number of perpetrators, and the percentage of solved and reported crimes was obtained from the national database on crime and justice of the Research and Documentation Centre of the Ministry of Justice and Security, Statistics Netherlands, and the Council for the Judiciary in the Netherlands. We applied a top-down micro costing approach to calculate the point estimate of the unit costs for each of the delinquent acts and, subsequently, estimated the mean (SD) unit costs for each of the delinquent acts by taking random draws from a triangular distribution while taking into account a 10% uncertainty associated with the associated point estimate. RESULTS: The mean (SD) unit costs per delinquent act per perpetrator ranged between EUR495 (EUR1.30) for "Driving under the influence" and EUR33,813 (EUR78.30) for a "Cybercrime". These unit costs may be considered as outliers as most unit costs ranged between EUR 2,600 and EUR 13,500 per delinquent act per perpetrator. DISCUSSION: This study is the first to estimate the unit costs per delinquent act per perpetrator in the Netherlands. The results of this study enable the inclusion of government expenditures associated with crime and justice in economic evaluations conducted from a societal perspective. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: Youth mental health interventions aimed at reducing substance use and delinquency in adolescents are increasingly subjected to economic evaluations. These evaluations are used to inform decisions concerning the allocation of scarce healthcare resources and should cover all the costs and benefits for society, including those associated with delinquent acts. IMPLICATIONS FOR HEALTH POLICIES: The results of this study facilitate economic evaluations of youth mental health interventions aimed at reducing substance use and delinquency in adolescents, conducted from a societal perspective. IMPLICATIONS FOR FURTHER RESEARCH: Based on health-economic evaluations conducted in the field of youth mental health and the results of the current study, we recommend including the estimated unit costs in guidelines for health-economic evaluations conducted from a societal perspective. Future research could aim at examining whether these unit costs require regular updating. The methodology applied in this study allows for this.

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.

Development and Validation of a Decision Tool for Early Identification of Adult Patients with Severe and Complex Eating Disorder Psychopathology in Need of Highly Specialized Care.

Patients with complex and severe eating disorders often receive a number of ineffective or/and insufficient treatments. Direct referral of these patients to highly specialized tertiary treatment facilities in an earlier stage of the disorder is likely to be more (cost)-effective. The aim of the study was to develop a decision tool that aids clinicians in early identification of these patients. After identification of criteria that were indicative of severity and complexity of eating disorder psychopathology by means of a systematic review of literature and consultation of a focus group, a Delphi method was applied to obtain consensus from experts on the list of relevant criteria. Finally, the decision tool was validated in clinical practice, and cut-off criteria were established. The tool demonstrated good feasibility and validity to identify patients for highly specialized tertiary care. The final decision tool consisted of five criteria that can easily be implemented in clinical practice. Copyright © 2017 John Wiley & Sons, Ltd and Eating Disorders Association.

The cost-effectiveness of family/family-based therapy for treatment of externalizing disorders, substance use disorders and delinquency: a systematic review.

BACKGROUND: Family therapy and family-based treatment has been commonly applied in children and adolescents in mental health care and has been proven to be effective. There is an increased interest in economic evaluations of these, often expensive, interventions. The aim of this systematic review is to summarize and evaluate the evidence on cost-effectiveness of family/family-based therapy for externalizing disorders, substance use disorders and delinquency. METHODS: A systematic literature search was performed in PubMed, Education Resource information Centre (ERIC), Psycinfo and Cochrane reviews including studies conducted after 1990 and before the first of August of 2013. Full economic evaluations investigating family/family-based interventions for adolescents between 10 and 20 years treated for substance use disorders, delinquency or externalizing disorders were included. RESULTS: Seven hundred thirty-one articles met the search criteria and 51 studies were initially selected. The final selection resulted in the inclusion of 11 studies. The quality of these studies was assessed. Within the identified studies, there was great variation in the specific type of family/family-based interventions and disorders. According to the outcomes of the checklists, the overall quality of the economic evaluations was low. Results varied by study. Due to the variations in setting, design and outcome it was not feasible to pool results using a meta-analysis. CONCLUSIONS: The quality of the identified economic evaluations of family/family-based therapy for treatment of externalizing disorders, adolescent substance use disorders and delinquency was insufficient to determine the cost-effectiveness. Although commonly applied, family/family-based therapy is costly and more research of higher quality is needed.

Development of the Treatment Inventory of Costs in Psychiatric Patients: TIC-P Mini and Midi.

BACKGROUND: Medical costs of (psychiatric) illness can be validly measured with patient report questionnaires. These questionnaires comprise many detailed items resulting in lengthy administrations. OBJECTIVES: We set out to find the minimal number of items needed to retrieve 80% and 90% of the costs as measured by the Treatment Inventory of Costs in Patients with psychiatric disorders (TIC-P). METHODS: The TIC-P is a validated patient-reported outcome measure concerning the utilization of medical care and productivity losses. The present study focused on direct medical costs. We applied data of 7756 TIC-P administrations from three studies in patients with mental health care issues. Items that contribute least to the total cost were eliminated, providing that 80% and 90% of the total cost was retained. RESULTS: Average medical costs per patient were €658 over the last 4 weeks. The distribution of cost was highly skewed, and 5 of the 14 items of the TIC-P accounted for less than 10% of the total costs. The 80% Mini version of the TIC-P required five items: ambulatory services, private practice, day care, general hospital, and psychiatric clinic. The TIC-P Midi 90% inventory required eight items. Both had variance between the three samples in the optimal choice of the items. CONCLUSIONS: The number of items of the TIC-P can be reduced considerably while maintaining 80% and 90% of the medical costs estimated by the complete TIC-P. The reduced length makes the questionnaire more suitable for routine outcome monitoring.

The iMTA Productivity Cost Questionnaire: A Standardized Instrument for Measuring and Valuing Health-Related Productivity Losses.

BACKGROUND: Productivity losses often contribute significantly to the total costs in economic evaluations adopting a societal perspective. Currently, no consensus exists on the measurement and valuation of productivity losses. OBJECTIVE: We aimed to develop a standardized instrument for measuring and valuing productivity losses. METHODS: A group of researchers with extensive experience in measuring and valuing productivity losses designed an instrument suitable for self-completion, building on preknowledge and evidence on validity. The instrument was designed to cover all domains of productivity losses, thus allowing quantification and valuation of all productivity losses. A feasibility study was performed to check the questionnaire's consistency and intelligibility. RESULTS: The iMTA Productivity Cost Questionnaire (iPCQ) includes three modules measuring productivity losses of paid work due to 1) absenteeism and 2) presenteeism and productivity losses related to 3) unpaid work. Questions for measuring absenteeism and presenteeism were derived from existing validated questionnaires. Because validated measures of losses of unpaid work are scarce, the questions of this module were newly developed. To enhance the instrument's feasibility, simple language was used. The feasibility study included 195 respondents (response rate 80%) older than 18 years. Seven percent (n = 13) identified problems while filling in the iPCQ, including problems with the questionnaire's instructions and routing (n = 6) and wording (n = 2). Five respondents experienced difficulties in estimating the time that would be needed for other people to make up for lost unpaid work. CONCLUSIONS: Most modules of the iPCQ are based on validated questions derived from previously available instruments. The instrument is understandable for most of the general public.

DRG systems in Europe: variations in cost accounting systems among 12 countries.

BACKGROUND: Diagnosis-related group (DRG)-based hospital payment systems have gradually become the principal means of reimbursing hospitals in many European countries. Owing to the absence or inaccuracy of costs related to DRGs, these countries have started to routinely collect cost accounting data. The aim of the present article was to compare the cost accounting systems of 12 European countries. METHODS: A standardized questionnaire was developed to guide comprehensive cost accounting system descriptions for each of the 12 participating countries. RESULTS: The cost accounting systems of European countries vary widely by the share of hospital costs reimbursed through DRG payment, the presence of mandatory cost accounting and/or costing guidelines, the share of cost collecting hospitals, costing methods and data checks on reported cost data. Each of these aspects entails a trade-off between accuracy of the cost data and feasibility constraints. CONCLUSION: Although a 'best' cost accounting system does not exist, our cross-country comparison gives insight into international differences and may help regulatory authorities and hospital managers to identify and improve areas of weakness in their cost accounting systems. Moreover, it may help health policymakers to underpin the development of a cost accounting system.

Effectiveness and cost-effectiveness of ehealth interventions in somatic diseases: a systematic review of systematic reviews and meta-analyses.

BACKGROUND: eHealth potentially enhances quality of care and may reduce health care costs. However, a review of systematic reviews published in 2010 concluded that high-quality evidence on the benefits of eHealth interventions was still lacking. OBJECTIVE: We conducted a systematic review of systematic reviews and meta-analyses on the effectiveness/cost-effectiveness of eHealth interventions in patients with somatic diseases to analyze whether, and to what possible extent, the outcome of recent research supports or differs from previous conclusions. METHODS: Literature searches were performed in PubMed, EMBASE, The Cochrane Library, and Scopus for systematic reviews and meta-analyses on eHealth interventions published between August 2009 and December 2012. Articles were screened for relevance based on preset inclusion and exclusion criteria. Citations of residual articles were screened for additional literature. Included papers were critically appraised using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement before data were extracted. Based on conclusions drawn by the authors of the included articles, reviews and meta-analyses were divided into 1 of 3 groups: suitable, promising, or limited evidence on effectiveness/cost-effectiveness. Cases of uncertainty were resolved by consensus discussion. Effect sizes were extracted from papers that included a meta-analysis. To compare our results with previous findings, a trend analysis was performed. RESULTS: Our literature searches yielded 31 eligible reviews, of which 20 (65%) reported on costs. Seven papers (23%) concluded that eHealth is effective/cost-effective, 13 (42%) underlined that evidence is promising, and others found limited or inconsistent proof. Methodological quality of the included reviews and meta-analyses was generally considered high. Trend analysis showed a considerable accumulation of literature on eHealth. However, a similar percentage of papers concluded that eHealth is effective/cost-effective or evidence is at least promising (65% vs 62%). Reviews focusing primarily on children or family caregivers still remained scarce. Although a pooled (subgroup) analysis of aggregate data from randomized studies was performed in a higher percentage of more recently published reviews (45% vs 27%), data on economic outcome measures were less frequently reported (65% vs 85%). CONCLUSIONS: The number of reviews and meta-analyses on eHealth interventions in patients with somatic diseases has increased considerably in recent years. Most articles show eHealth is effective/cost-effective or at least suggest evidence is promising, which is consistent with previous findings. Although many researchers advocate larger, well-designed, controlled studies, we believe attention should be given to the development and evaluation of strategies to implement effective/cost-effective eHealth initiatives in daily practice, rather than to further strengthen current evidence.

Association between quality of life and treatment response in children with attention Deficit Hyperactivity Disorder and their parents.

BACKGROUND: It has been shown that Attention Deficit Hyperactivity Disorder (ADHD) lowers the Quality of Life (QoL) of patients and their families. Medication as part of the treatment has a favourable effect on symptoms as well as functioning. Evidence on the impact of pharmacological treatment on symptoms of ADHD and the QoL of the patient and their family is still limited. There is a need for further research on QoL in ADHD as well as the relationship between ADHD and the impact on families rather than solely on patients. AIMS OF THE STUDY: Measure QoL of children with ADHD and their parents and explore the association of QoL with treatment response. METHODS: A cross-sectional survey was performed using an online questionnaire to collect QoL data of children with ADHD (based on proxy reporting of parents) and their parents in a sample of members of an ADHD parent association. QoL was measured by EQ-5D and KIDSCREEN-10. Treatment response was based on descriptions by experts, based on compliance and functioning. RESULTS: Analyses were based on 618 questionnaires (treatment responder n=428, treatment non-responder n=190). Mean age of the children was 11.8 years (82.4% male). QoL according to EQ-5D utility was 0.83 and 0.74 for responders and non-responders, respectively (p<0.001). For KIDSCREEN-10 the index was 42.24 and 40.33 for responders and non-responders, respectively (p<0.001). EQ-5D utility scores of the parents were 0.83 on average; no association with their child's treatment response could be established. A significant positive correlation between EQ-5D utility of the children and EQ-5D utility of the parents (R2=0.207, p<0.001) was found. The association between treatment response and children's QoL was significantly influenced by age category, having a sibling with ADHD, and presence of comorbidity. DISCUSSION: Strengths of this study are its sample size and the inclusion of QoL of parents, which has not been reported simultaneously before. The facts that data were derived from members of the ADHD parent association, the data for children were based on parents' report, and lack of possibility for confirmation of the clinical diagnosis are the main study limitations. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: QoL of children with ADHD was shown to be significantly positively associated with response to treatment and negatively affected by comorbidity. In determining the treatment effects in ADHD, QoL and family overall well-being should be a standard consideration as well as an integrated part of health policy discussions on ADHD. IMPLICATIONS FOR HEALTH POLICIES: Policymakers in the field of ADHD should focus on QoL of the patient, but also on the broader effects of effective treatment on the well-being of the parents. IMPLICATIONS FOR FURTHER RESEARCH: Suggestions for further research include the repetition of this study including a control group and obtaining children's self-report on QoL and clinicians report on diagnosis.

Cost-utility analysis of a collaborative care intervention for major depressive disorder in an occupational healthcare setting.

PURPOSE: Major depression is associated with high levels of absence and reduced productivity. Therefore the costs to society are high. The aim of this study was to evaluate the cost-utility of collaborative care for major depressive disorder (MDD) compared to care as usual in an occupational healthcare setting. A societal perspective was taken. METHODS: In this randomised controlled trial, 126 sick-listed workers with MDD were included (65 collaborative care, 61 care as usual). Baseline measurements and follow up measures (3, 6, 9 and 12 months) were assessed by questionnaire. We applied the Trimbos/iMTA questionnaire for costs associated with psychiatric illness, the SF-HQL and the EQ-5D respectively measuring the health care utilization, production losses and general health related quality of life. RESULTS: The average annual healthcare costs in the collaborative care group were €3,874 (95 % CI €2,778-€ 5,718) compared to €4,583 (95 % CI €3,108-€6,794) in the care as usual group. The average quality of life years (QALY's) gained were lower in the collaborative care group, 0.05 QALY. The majority of the ICERS (69 %) indicate that collaborative care is less costly but also less effective than care as usual. Including the productivity costs did not change this result. CONCLUSIONS: The cost-utility analysis showed that collaborative care generated reduced costs and a reduction in effects compared to care as usual and was therefore not a cost-effective intervention.

The effect of outcome monitoring feedback to clinicians and patients in short and long-term psychotherapy: a randomized controlled trial.

OBJECTIVE: Outcome monitoring feedback has become popular, but its effect on treatment outcome has been mixed. Feedback seems most effective for patients who are not progressing well ("not on track" (NOT) cases). There are some indications that patient feedback has an additional effect and that feedback effects differentiate between short- and long-term therapy. This study aimed to evaluate the effect of outcome monitoring feedback to therapists and patients on outcome in short- and long-term psychotherapy. METHODS: Patients (n = 475) were randomly assigned to three conditions: Feedback to therapist (FbT), feedback to therapist and patient (FbTP), and no feedback (NFb). Feedback consisted of progress charts based on the Outcome Questionnaire and a feedback message. RESULTS: In short-term therapies (<35 weeks) FbT and FbTP was preventive of negative change for NOT cases. In long-term therapy only FbTP had a small positive effect on the rate of change. Feedback did not result in better outcomes at treatment ending, although there was a trend for FbTP to have fewer deteriorated cases. CONCLUSIONS: Benefits of feedback were strongest for cases that were not progressing well in short-term therapies when both the patient and therapist received feedback on the patients' progress. Contrary to previous findings, we also found a small effect of feedback to therapists and patients in long-term therapies. Feedback to both patients and therapists may be more effective than feedback to therapists alone due to implementation issues or empowerment of the patient.

The impact of informal care provision on the quality of life of adults caring for persons with mental health problems: A cross-sectional assessment of caregiver quality of life.

This study assessed the quality of life of informal caregivers for individuals with mental health problems in the Netherlands. An online survey was administered to a panel of informal caregivers in June 2020 (n = 261). Informal caregivers of persons with mental problems were found to have an exceptionally low quality of life. A high subjective burden (p < .001), lower perseverance time (p = .016), low caregiver overall health status (p = .004) and psychological wellbeing (p = .008), younger caregiver age (p = .011), child caregiving responsibilities (p = .025), and no social support network (p = .038) were associated with worse quality of life scores. These findings shed light on the significant challenges faced by informal caregivers of persons with mental health problem. This raises concerns about the long-term sustainability of informal care and mental healthcare reform.

Estimating a Preference-Based Value Set for the Mental Health Quality of Life Questionnaire (MHQoL).

BACKGROUND: Health economic evaluations using common health-related quality of life measures may fall short in adequately measuring and valuing the benefits of mental health care interventions. The Mental Health Quality of Life questionnaire (MHQoL) is a standardized, self-administered mental health-related quality of life instrument covering 7 dimensions known to be relevant across and valued highly by people with mental health problems. The aim of this study was to derive a Dutch value set for the MHQoL to facilitate its use in cost-utility analyses. METHODS: The value set was estimated using a discrete choice experiment (DCE) with duration that accommodated nonlinear time preferences. The DCE was embedded in a web-based self-complete survey and administered to a representative sample (N = 1,308) of the Dutch adult population. The matched pairwise choice tasks were created using a Bayesian heterogeneous D-efficient design. The overall DCE design comprised 10 different subdesigns, with each subdesign containing 15 matched pairwise choice tasks. Each participant was asked to complete 1 of the subdesigns to which they were randomly assigned. RESULTS: The obtained coefficients indicated that "physical health,""mood," and "relationships" were the most important dimensions. All coefficients were in the expected direction and reflected the monotonic structure of the MHQoL, except for level 2 of the dimension "future." The predicted values for the MHQoL ranged from -0.741 for the worst state to 1 for the best state. CONCLUSIONS: This study derived a Dutch value set for the recently introduced MHQoL. This value set allows for the generation of an index value for all MHQoL states on a QALY scale and may hence be used in Dutch cost-utility analyses of mental healthcare interventions. HIGHLIGHTS: A discrete choice experiment was used to derive a Dutch value set for the MHQoL.This allows the use of the MHQoL in Dutch cost-utility analyses.The dimensions physical health, mood, and relationships were the most important.The utility values range from -0.741 for the worst state to 1 for the best state.