12-Month Cost Outcomes of Community Engagement Versus Technical Assistance for Depression Quality Improvement: A Partnered, Cluster Randomized, Comparative-Effectiveness Trial.
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ABSTRACT:
SUBMITTER: Chung B
PROVIDER: S-EPMC6128344 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
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12-Month Cost Outcomes of Community Engagement Versus Technical Assistance for Depression Quality Improvement: A Partnered, Cluster Randomized, Comparative-Effectiveness Trial.
Chung Bowen B Ong Michael M Ettner Susan L SL Jones Felica F Gilmore James J McCreary Michael M Ngo Victoria K VK Sherbourne Cathy C Tang Lingqi L Dixon Elizabeth E Koegel Paul P Miranda Jeanne J Wells Kenneth B KB
Ethnicity & disease 20180906 Suppl 2
<h4>Objective</h4>To compare community engagement and planning (CEP) for coalition support to implement depression quality improvement (QI) to resources for services (RS) effects on service-use costs over a 12-month period.<h4>Design</h4>Matched health and community programs (N=93) were cluster-randomized within communities to CEP or RS.<h4>Setting</h4>Two Los Angeles communities.<h4>Participants</h4>Adults (N=1,013) with depressive symptoms (Patient Health Questionnaire (PHQ-8) ≥10); 85% Africa ...[more]
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Project description:Depression collaborative care implementation using community engagement and planning (CEP) across programs improves 6-month client outcomes in minority communities, compared with technical assistance to individual programs (resources for services [RS]). However, 12-month outcomes are unknown.To compare effects of CEP and RS on mental health-related quality of life (MHRQL) and use of services among depressed clients at 12 months.Matched health and community programs (n = 93) in 2 communities randomly assigned to receive CEP or RS. (ClinicalTrials.gov: NCT01699789).Self-reported MHRQL and services use at baseline, 6 months, and 12 months.Los Angeles, California.1018 adults with depressive symptoms (8-item Patient Health Questionnaire score ?10), 88% of whom were an ethnic minority.CEP and RS to implement depression collaborative care.The primary outcome was poor MHRQL (12-item mental health composite score ?40) at baseline, 6 months, and 12 months; the secondary outcome was use of services at 12 months.At 6 months, the finding that CEP outperformed RS to reduce poor MHRQL was significant but sensitive to underlying statistical assumptions. At 12 months, some analyses suggested that CEP was advantageous to MHRQL, whereas others did not confirm a significant difference favoring CEP. The finding that CEP reduced behavioral health hospitalizations at 6 months was less evident at 12 months and was sensitive to underlying statistical assumptions. Other services use did not significantly differ between interventions at 12 months.Data are self-reported, and findings are sensitive to modeling assumptions.In contrast to 6-month results, no consistent effects of CEP on reducing the likelihood of poor MHRQL and behavioral health hospitalizations were found at 12 months. Still, given the needs of underresourced communities, the favorable profile of CEP, and the lack of evidence-based alternatives, CEP remains a viable strategy for policymakers and communities to consider.National Institute of Mental Health, Robert Wood Johnson Foundation, California Community Foundation, National Library of Medicine, and National Institutes of Health/National Center for Advancing Translational Science for the UCLA Clinical and Translational Science Institute.
| S-EPMC4235578 | biostudies-literature
Project description:OBJECTIVE:Community Partners in Care, a community-partnered, cluster-randomized trial with depressed clients from 93 Los Angeles health and community programs, examined the added value of a community coalition approach (Community Engagement and Planning [CEP]) versus individual program technical assistance (Resources for Services [RS]) for implementing depression quality improvement in underserved communities. CEP was more effective than RS in improving mental health-related quality of life, reducing behavioral health hospitalizations, and shifting services toward community-based programs at six months. At 12 months, continued evidence of improvement was found. This study examined three-year outcomes. METHODS:Among 1,004 participants with depression who were eligible for three-year follow-up, 600 participants from 89 programs completed surveys. Multiple regression analyses estimated intervention effects on poor mental health-related quality of life and depression, physical health-related quality of life, behavioral health hospital nights, and use of services. RESULTS:At three years, no differences were found in the effects of CEP versus RS on depression or mental health-related quality of life, but CEP had modest effects in improving physical health-related quality of life and reducing behavioral health hospital nights, and CEP participants had more social- and community-sector depression visits and greater use of mood stabilizers. Sensitivity analyses with longitudinal modeling reproduced these findings but found no significant differences between groups in change from baseline to three years. CONCLUSIONS:At three years, CEP and RS did not have differential effects on primary mental health outcomes, but CEP participants had modest improvements in physical health and fewer behavioral health hospital nights.
| S-EPMC5711579 | biostudies-literature
Project description:Significance:Prior research suggests that Community Engagement and Planning (CEP) for coalition support compared with Resources for Services (RS) for program technical assistance to implement depression quality improvement programs improves 6- and 12-month client mental-health related quality of life (MHRQL); however, effects for clients with multiple chronic medical conditions (MCC) are unknown. Objective:To explore effectiveness of CEP vs RS in MCC and non-MCC subgroups. Design:Secondary analyses of a cluster-randomized trial. Setting:93 health care and community-based programs in two neighborhoods. Participants:Of 4,440 clients screened, 1,322 depressed (Patient Health Questionnaire, PHQ8) provided contact information, 1,246 enrolled and 1,018 (548 with ?3 MCC) completed baseline, 6- or 12-month surveys. Intervention:CEP or RS for implementing depression quality improvement programs. Outcomes and Analyses:Primary: depression (PHQ9 <10), poor MHRQL (Short Form Health Survey, SF-12<40); Secondary: mental wellness, good physical health, behavioral health hospitalization, chronic homelessness risk, work/workloss days, services use at 6 and 12 months. End-point regressions were used to estimate intervention effects on outcomes for subgroups with ?3 MCC, non-MCC, and intervention-by-MCC interactions (exploratory). Results:Among MCC clients at 6 months, CEP vs RS lowered likelihoods of depression and poor MHRQL; increased likelihood of mental wellness; reduced work-loss days among employed and likelihoods of ?4 behavioral-health hospitalization nights and chronic homelessness risk, while increasing faith-based and park community center depression services; and at 12 months, likelihood of good physical health and park community center depression services use (each P<.05). There were no significant interactions or primary outcome effects for non-MCC. Conclusions:CEP was more effective than RS in improving 6-month primary outcomes among depressed MCC clients, without significant interactions.
| S-EPMC6128327 | biostudies-literature
Project description:BACKGROUND:Depression contributes to disability and there are ethnic/racial disparities in access and outcomes of care. Quality improvement (QI) programs for depression in primary care improve outcomes relative to usual care, but health, social and other community-based service sectors also support clients in under-resourced communities. Little is known about effects on client outcomes of strategies to implement depression QI across diverse sectors. OBJECTIVE:To compare the effectiveness of Community Engagement and Planning (CEP) and Resources for Services (RS) to implement depression QI on clients' mental health-related quality of life (HRQL) and services use. DESIGN:Matched programs from health, social and other service sectors were randomized to community engagement and planning (promoting inter-agency collaboration) or resources for services (individual program technical assistance plus outreach) to implement depression QI toolkits in Hollywood-Metro and South Los Angeles. PARTICIPANTS:From 93 randomized programs, 4,440 clients were screened and of 1,322 depressed by the 8-item Patient Health Questionnaire (PHQ-8) and providing contact information, 1,246 enrolled and 1,018 in 90 programs completed baseline or 6-month follow-up. MEASURES:Self-reported mental HRQL and probable depression (primary), physical activity, employment, homelessness risk factors (secondary) and services use. RESULTS:CEP was more effective than RS at improving mental HRQL, increasing physical activity and reducing homelessness risk factors, rate of behavioral health hospitalization and medication visits among specialty care users (i.e. psychiatrists, mental health providers) while increasing depression visits among users of primary care/public health for depression and users of faith-based and park programs (each p?<?0.05). Employment, use of antidepressants, and total contacts were not significantly affected (each p?>?0.05). CONCLUSION:Community engagement to build a collaborative approach to implementing depression QI across diverse programs was more effective than resources for services for individual programs in improving mental HRQL, physical activity and homelessness risk factors, and shifted utilization away from hospitalizations and specialty medication visits toward primary care and other sectors, offering an expanded health-home model to address multiple disparities for depressed safety-net clients.
| S-EPMC3785665 | biostudies-literature
Project description:ObjectiveWe documented organizational costs for depression care quality improvement (QI) to develop an evidence-based, Veterans Health Administration (VA) adapted depression care model for primary care practices that performed well for patients, was sustained over time, and could be spread nationally in VA.Data sources and study settingProject records and surveys from three multistate VA administrative regions and seven of their primary care practices.Study designDescriptive analysis.Data collectionWe documented project time commitments and expenses for 86 clinical QI and 42 technical expert support team participants for 4 years from initial contact through care model design, Plan-Do-Study-Act cycles, and achievement of stable workloads in which models functioned as routine care. We assessed time, salary costs, and costs for conference calls, meetings, e-mails, and other activities.Principle findingsOver an average of 27 months, all clinics began referring patients to care managers. Clinical participants spent 1,086 hours at a cost of $84,438. Technical experts spent 2,147 hours costing $197,787. Eighty-five percent of costs derived from initial regional engagement activities and care model design.ConclusionsOrganizational costs of the QI process for depression care in a large health care system were significant, and should be accounted for when planning for implementation of evidence-based depression care.
| S-EPMC2669623 | biostudies-literature
Project description:This report assesses peer-reviewed and grey literature on risk communication concepts and practices, as requested by the European Commission to support the implementation of a 'General Plan for Risk Communication', i.e. an integrated framework for EU food safety risk assessors and risk managers at Union and national level, as required by the revised EU General Food Law Regulation. We conducted a scoping review of social research studies and official reports in relation to risk communication in the following areas: understanding and awareness of risk analysis roles and tasks, reducing misunderstanding of the different meaning of the terms 'hazard' and 'risk', tackling misinformation and disinformation, enhancing confidence in EU food safety, taking account of risk perceptions, key factors in trade-offs about risks, audience segmentation and tools, channels and mechanisms for coordinated risk communications. We structured our findings as follows: i) definitions of key concepts, ii) audience analysis and information requirements, iii) risk profiling, models and mechanisms, iv) contributions to communication strategies. We make several recommendations for consideration by the Commission, both in terms of actions to support the design and implementation of the general plan, and research needs that we consider crucial to further inform appropriate risk communication in the EU. EFSA carried out a targeted consultation of experts and a public consultation open to all interested parties including the general public, in preparing and finalising this report.
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Project description:BackgroundClinical practice guidelines for the treatment of major depressive disorder (MDD) recommend antidepressants for patients with moderate-severe depression and active monitoring for patients with mild-moderate symptoms. The feasibility and efficiency of active monitoring has not been proven conclusively. The aim of this study is to evaluate the cost-effectiveness of active monitoring in comparison to antidepressants for primary care patients with mild-moderate MDD.Methods/designThis is a 12-month follow-up multicenter observational prospective controlled trial. Patients are enrolled in 12 primary care centers in Barcelona (Spain). Eligible patients are adults (≥18 years-old) with a new episode of MDD that sign a written consent to participate. This is a naturalistic study in which general practitioners (GPs) use their professional judgment to allocate patients into active monitoring or antidepressants groups. GPs treat the patients following their clinical criteria. At baseline, GPs complete a questionnaire (sociodemographic/job characteristics, training, attitude towards depression, interest on mental health and participation in communication groups). Patients' measurements take place at baseline and after six and 12 months. Main outcome measures include severity of depression (PHQ-9), health-related quality of life (EuroQol-5D) and use of healthcare and social care services (Client Service Receipt Inventory). Secondary outcomes include diagnosis of MDD according to DSM-IV diagnostic criteria (SCID-I), disability (WHO-DAS), anxiety (BAI), comorbidities, medication side-effects and beliefs about medicines (BMQ). The analysis will be done according to the intention to treat analysis. Missing data will be imputed using multiple imputation by chained equations. To minimize the bias resulting from the lack of randomization, a propensity score will be used. Incremental effects and costs between groups will be modelled in each of the imputed databases using multivariate generalized linear models and then combined as per Rubin's rules. Propensity scores will be used to adjust the models. Incremental cost-effectiveness ratios will be calculated by dividing the difference in costs between groups by the difference in effects. To deal with the uncertainty, resampling techniques with bootstrapping will be used and cost-effectiveness planes and cost-effectiveness acceptability curves will be constructed. A series of sensitivity analyses will be performed.DiscussionGiven the high burden and costs generated by depressive disorder, it is important that general practitioners treat major depression efficiently. Recent evidence has suggested that antidepressants have low benefits for patients with mild to moderate major depression. For such cases of depression, active monitoring exists as a treatment option, but it is not without difficulties for implementation and its effectiveness and efficiency have not been demonstrated conclusively. The results of the study will provide information on which is the most efficient approach to treat patients with mild to moderate major depression in primary care.Trial registrationClinicalTrials.gov: NCT02245373.
| S-EPMC4394418 | biostudies-literature
Project description:ObjectivesThe prevalence of depression in patients with cancer ranges from 8% to 24% within the first year of receiving a cancer diagnosis. Identifying predictors of depression outcomes may facilitate tailored or more intensive treatment in patient subgroups with a poorer prognosis for depression improvement. The objective of this study was to determine predictors of depression severity and improvement over 12 months among adults with cancer.MethodsLongitudinal analysis of data from the Indiana Cancer Pain and Depression trial was performed in 309 patients (n = 309) with cancer-related depression. Depression outcomes were assessed at baseline, 1, 3, 6, and 12 months and included depression severity (Hopkins Symptom Checklist-20) and global improvement (Depression Global Rating of Improvement (DGRI)). Multivariable repeated measures analyses, adjusting for treatment group, baseline depression, and time point, were conducted to determine symptom (pain), demographic, and clinical predictors of depression outcomes over 12 months.ResultsPain was particularly important, with a clinically meaningful reduction in pain predicting a 12-24% greater odds of depression global improvement. Other factors that independently predicted better depression outcomes over 12 months included female sex, newly-diagnosed or maintainence/disease-free cancer, fewer comorbid medical conditions, and higher socioeconomic status. As expected, the three covariates adjusted for in the model (treatment group, passage of time, and baseline depression severity) also predicted depression outcomes.ConclusionPain as well as several demographic and clinical factors predict depression outcomes over 12 months. These findings may help identify patient subgroups requiring closer monitoring and more intensive or tailored depression treatment. Trial Registration clinicaltrials.gov Identifier: NCT00313573.
| S-EPMC7484175 | biostudies-literature
Project description:There are concerns regarding what young people are exposed to on TikTok due to trending content promoting e-cigarette use through humour, marketing and lifestyle acceptability. Using baseline data from November 2020, we aimed to examine how much content from a sample of popular vaping videos remained accessible at 9- and 12-month follow-ups. We aimed to monitor changes in viewer engagement (using metadata) before and after the U.S. Congressional Hearing on youth protection measures on social media in October 2021. Hashtag-based keywords were used to collect the most viewed publicly available e-cigarette related videos on TikTok (N = 802) from inception to November 2020 to form a baseline. Researchers conducted a longitudinal descriptive study using this data, with 9- and 12-month follow-ups to measure changes in viewer engagement (using metadata) and content availability. Of the 802 videos from the baseline, 562 remained at the 9-month follow-up and 511 remained at the 12-month follow-up. At the 12-month follow-up, the majority of vaping-related hashtags were removed by TikTok after the Congressional Hearing. Between the baseline and 9-month follow up, views increased by 1.4% and likes increased by 4.4%. At 12-month follow-up, views had increased by 1.7% and likes by 4.2% compared to baseline data. Whilst 291 videos were no longer publicly accessible at 12-month follow-up, 39 of these were made inaccessible by the content creators. The most viewed and most liked vaping videos at baseline were still publicly available. Whilst the depiction type and thematic distribution of removed videos suggest that TikTok may be removing a small proportion of content that promotes the use of e-cigarettes, metadata of remaining videos indicate an increase in viewer engagement. TikTok's removal of explicit substance-related hashtags from the platform could be a step towards preventing adolescents from being exposed to harmful behaviours and substances online. However, the platform should consider enforcing effective age restrictions on content that promotes substance use in a positive light.
| S-EPMC8834819 | biostudies-literature
Project description:BackgroundMany gait impairments are characterized by asymmetry and result in reduced mobility. Exoskeletons could be useful for restoring gait symmetry by assisting only one leg. However, we still have limited understanding of the effects of unilateral exoskeleton assistance. Our aim was to compare the effects of unilateral and bilateral assistance using a within-subject study design.MethodsEleven participants walked in different exoskeleton conditions. In the Unilateral conditions, only one leg was assisted. In Bilateral Matched Total Work, half of the assistance from the Unilateral conditions was applied to both legs such that the bilateral sum was equal to that of the Unilateral conditions. In Bilateral Matched Work Per Leg, the same assistance as in the Unilateral conditions was provided to both legs such that the bilateral sum was the double of that of the Unilateral conditions. In the Powered-Off condition, no assistance was provided. We measured metabolic energy consumption, exoskeleton mechanics and kinematics.ResultsOn average, the Unilateral, Bilateral Matched Total Work and Bilateral Matched Work Per Leg conditions reduced the metabolic rate by 7, 11 and 15%, respectively, compared with the Powered-Off condition. A possible explanation for why the Unilateral conditions effectively reduced the metabolic rate could be that they caused only very little asymmetry in gait biomechanics, except at the ankle and in the horizontal center-of-mass velocity. We found the highest ratio of metabolic rate reduction versus positive work assistance with bilateral assistance and low work per leg (Bilateral Matched Total Work). Statistical analysis indicated that assistance symmetry and assistance per leg are more important than the bilateral summed assistance for reducing the metabolic rate of walking.ConclusionsThese data bridge the gap between conclusions from studies with unilateral and bilateral exoskeletons and inform how unilateral assistance can be used to influence gait parameters, such as center-of-mass velocity.
| S-EPMC6085709 | biostudies-literature