Randomized Trial of Academic Training and Medication Decision-Making for Adolescents with ADHD in Usual Care.
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ABSTRACT:
SUBMITTER: Hogue A
PROVIDER: S-EPMC7438261 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The conflicting recommendations for prostate cancer (PCa) screening and the mixed messages communicated to the public about screening effectiveness make it critical to assist men in making informed decisions.To assess the effectiveness of 2 decision aids in helping men make informed PCa screening decisions.A racially diverse group of male outpatients aged 45 to 70 years from 3 sites were interviewed by telephone at baseline, 1 month, and 13 months, from 2007 through 2011. We conducted intention-to-treat univariate analyses and multivariable linear and logistic regression analyses, adjusting for baseline outcome measures.Random assignment to print-based decision aid (n?=?628), web-based interactive decision aid (n?=?625), or usual care (UC) (n?=?626).Prostate cancer knowledge, decisional conflict, decisional satisfaction, and whether participants underwent PCa screening.Of 4794 eligible men approached, 1893 were randomized. At each follow-up assessment, univariate and multivariable analyses indicated that both decision aids resulted in significantly improved PCa knowledge and reduced decisional conflict compared with UC (all P <.001). At 1 month, the standardized mean difference (Cohen’s d) in knowledge for the web group vs UC was 0.74, and in the print group vs UC, 0.73. Decisional conflict was significantly lower for web vs UC (d?=?0.33) and print vs UC (d?=?0.36). At 13 months, these differences were smaller but remained significant. At 1 month, high satisfaction was reported by significantly more print (60.4%) than web participants (52.2%; P?=?.009) and significantly more web (P?=?.001) and print (P?=?.03) than UC participants (45.5%). At 13 months, differences in the proportion reporting high satisfaction among print (55.7%) compared with UC (49.8%; P?=?.06) and web participants (50.4%; P?=?.10) were not significant. Screening rates at 13 months did not differ significantly among groups.Both decision aids improved participants’ informed decision making about PCa screening up to 13 months later but did not affect actual screening rates. Dissemination of these decision aids may be a valuable public health tool.clinicaltrials.gov Identifier: NCT00196807.
| S-EPMC3992617 | biostudies-literature
Project description:Shared decision-making is a collaborative process in which clinicians and patients make treatment decisions together. Although it is considered essential to patient-centred care, the adoption of shared decision-making into routine clinical practice has been slow, and there is a need to increase implementation. This paper describes the development and delivery of a training intervention to promote shared decision-making in medication management in mental health as part of the Shared Involvement in Medication Management Education (ShIMME) project. Three stakeholder groups (service users, care coordinators and psychiatrists) received training in shared decision-making, and their feedback was evaluated. The programme was mostly well received, with all groups rating interaction with peers as the best aspect of the training. This small-scale pilot shows that it is feasible to deliver training in shared decision-making to several key stakeholders. Larger studies will be required to assess the effectiveness of such training.
| S-EPMC5537578 | biostudies-other
Project description:ObjectiveTo test cognitive behavioral therapy (CBT) for persistent attention-deficit hyperactivity disorder (ADHD) symptoms in a sample of medication-treated adolescents.MethodsForty-six adolescents (ages 14-18), with clinically significant ADHD symptoms despite stable medication treatment were randomly assigned to receive CBT for ADHD or wait list control in a cross-over design. Twenty-four were randomized to CBT, 22 to wait list, and 15 crossed-over from wait list to CBT. A blind independent evaluator (IE) rated symptom severity on the ADHD Current Symptom Scale, by adolescent and parent report, and rated each subject using the Clinical Global Impression Severity Scale (CGI), a global measure of distress and impairment. These assessments were performed at baseline, 4-months (post-CBT or post wait list), and 8-months (post-treatment for those originally assigned to the wait list condition and 4-month follow-up for those originally assigned to CBT).Trial registrationhttp://clinicaltrials.gov/show/NCT01019252.ResultsUsing all available data, mixed effects modeling, and pooling for the wait list cross-over, participants who received CBT received a mean score 10.93 lower on the IE-rated parent assessment of symptom severity (95% CI: -12.93, -8.93; p < .0001), 5.24 lower on the IE-rated adolescent assessment of symptom severity (95% CI: -7.21, -3.28; p < .0001), and 1.17 lower IE-rated CGI (95% CI: -1.39, -.94; p < .0001). Results were consistent across 100 multiple imputations (all p < .0001). There was a greater proportion of responders after CBT by parent (50% vs. 18%, p = .00) and adolescent (58% vs. 18% p = .02) report.ConclusionsThis study demonstrates initial efficacy of CBT for adolescents with ADHD who continued to exhibit persistent symptoms despite medications.
| S-EPMC5026858 | biostudies-literature
Project description:Background: Working memory (WM) deficits and impaired decision making are among the characteristic symptoms of patients affected by attention deficit/hyperactivity disorder (ADHD). The inattention associated with the disorder is likely to be due to functional deficits of the neural networks inhibiting irrelevant sensory input. In the presence of unnecessary information, a good decisional process is impaired and ADHD patients tend to take risky decisions. This study is aimed to test the hypothesis that the level of difficulty of a WM training (WMT) is affecting the top-down modulation of the attentional processes in a probabilistic gambling task. Methods: Event-related potentials (ERP) triggered by the choice of the amount wagered in the gambling task were recorded, before and after WMT with a the dual n-back task, in young ADHD adults and matched controls. For each group of participants, randomly assigned individuals were requested to perform WMT with a fixed baseline level of difficulty. The remaining participants were trained with a performance-dependent adaptive n-level of difficulty. Results: We compared the ERP recordings before and after 20 days of WMT in each subgroup. The analysis was focused on the time windows with at least three recording sites showing differences before and after training, after Bonferroni correction ( p < 0.05 ). In ADHD, the P1 wave component was selectively affected at frontal sites and its shape was recovered close to controls' only after adaptive training. In controls, the strongest contrast was observed at parietal level with a left hemispheric dominance at latencies near 900 ms, more after baseline than after adaptive training. Conclusion: Partial restoration of early selective attentional processes in ADHD patients might occur after WMT with a high cognitive load. Modified frontal sites' activities might constitute a neural marker of this effect in a gambling task. In controls, conversely, an increase in late parietal negativity might rather be a marker of an increase in transfer effects to fluid intelligence.
| S-EPMC7017173 | biostudies-literature
Project description:A central aim of research in the psychological and decision sciences is to establish interventions that enhance performance, investigating the efficacy of modern approaches to improve human inference and decision-making. Whereas the decision sciences have established interventions to reduce decision biases by promoting strategies for critical thought and reasoning, methods from psychology have instead focused on enhancing cognition through skill-based training of executive functions. Contemporary research in psychology has engaged these operations through multi-modal interventions designed to enhance cognition and physical health through training of executive functions, mindfulness meditation, and physical fitness. Despite the comparable aims of research in the psychological and decision sciences, the efficacy of multi-modal interventions to enhance decision-making remain to be established. We therefore conducted a comprehensive, 16-week, randomized controlled trial (RCT) to investigate this issue, enrolling 160 healthy adults in one of four interventions: (1) high-intensity cardioresistance fitness training (HICRT); (2) HICRT and cognitive training of core executive functions; (3) HICRT and cognitive training, along with mindfulness meditation training; or (4) active control training. The results of our RCT demonstrate that HICRT training and multi-modal interventions that also incorporate cognitive training and mindfulness meditation have beneficial effects on decision-making competence. The observed pattern of findings motivate the application of modern interventions from psychology and cognitive neuroscience to enhance human judgment and decision-making in complex, real-world environments.
| S-EPMC6683193 | biostudies-literature
Project description:ObjectiveEvaluate whether stimulant medication improves acquisition of academic material in children with attention deficit hyperactivity disorder (ADHD) receiving small-group, content-area instruction in a classroom setting.MethodParticipants were 173 children between the ages of 7 and 12 years old (77% male, 86% Hispanic) who met Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria for ADHD and were participating in a therapeutic summer camp. The design was a triple-masked, within-subject, AB/BA crossover trial. Children completed two consecutive phases of daily, 25-min instruction in both (a) subject-area content (science, social studies) and (b) vocabulary. Each phase was a standard instructional unit lasting for 3 weeks. Teachers and aides taught the material to small groups in a summer classroom setting. Each child was randomized to be medicated with daily osmotic-release oral system methylphenidate (OROS-MPH) during either the first or second of the instructional phases, receiving placebo during the other.ResultsMedication had large, salutary, statistically significant effects on children's academic seatwork productivity and classroom behavior on every single day of the instructional period. However, there was no detectable effect of medication on learning the material taught during instruction: Children learned the same amount of subject-area and vocabulary content whether they were taking OROS-MPH or placebo during the instructional period.ConclusionsAcute effects of OROS-MPH on daily academic seatwork productivity and classroom behavior did not translate into improved learning of new academic material taught via small-group, evidence-based instruction. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
| S-EPMC9443328 | biostudies-literature
Project description:ObjectiveAsthma is a common chronic illness affecting 19 million US adults. Inhaled corticosteroids are a safe and effective treatment for asthma, yet, medication adherence among patients remains poor. Shared decision-making, a patient activation strategy, can improve patient adherence to inhaled corticosteroids. This study aimed to explore whether audio-recorded patient-primary care provider encounters can be used to: 1. Evaluate the level of patient-perceived shared decision-making during the encounter, and 2. Predict levels of patient's inhaled corticosteroid adherence.Materials and methodsShared decision-making and inhaled corticosteroid adherence were assessed using the SDM Questionnaire-9 and the Medication Adherence Report Scale for Asthma (MARS-A). Speech-to-text algorithms were used to automatically transcribe 80 audio-recorded encounters between primary care providers and asthmatic patients. Machine learning algorithms (Naive Bayes, Support Vector Machines, Decision Tree) were applied to achieve the study's predictive goals.ResultsThe accuracy of automated speech-to-text transcription was relatively high (ROUGE F-score = .9). Machine learning algorithms achieved good predictive performance for shared decision-making (the highest F-score = .88 for the Naive Bayes) and inhaled corticosteroid adherence (the highest F-score = .87 for the Support Vector Machines).DiscussionThis was the first study that trained machine learning algorithms on a dataset of audio-recorded patient-primary care provider encounters to successfully evaluate the quality of SDM and predict patient inhaled corticosteroid adherence.ConclusionMachine learning approaches can help primary care providers identify patients at risk for poor medication adherence and evaluate the quality of care by measuring levels of shared decision-making. Further work should explore the replicability of our results in larger samples and additional health domains.
| S-EPMC9352008 | biostudies-literature
Project description:IMPORTANCE:For antidepressants, the translation of evidence of comparative effectiveness into practice is suboptimal. This deficit directly affects outcomes and quality of care for patients with depression. To overcome this problem, we developed the Depression Medication Choice (DMC) encounter decision aid, designed to help patients and clinicians consider the available antidepressants and the extent to which they improved depression and other issues important to patients. OBJECTIVE:Estimate the effect of DMC on quality of the decision-making process and depression outcomes. DESIGN, SETTING, AND PARTICIPANTS:We conducted a cluster randomized trial of adults with moderate to severe depression considering treatment with an antidepressant. Primary care practices in 10 rural, suburban, and urban primary care practices across Minnesota and Wisconsin were randomly allocated to treatment of depression with or without use of the DMC decision aid. INTERVENTION:Depression Medication Choice, a series of cards, each highlighting the effect of the available options on an issue of importance to patients for use during face-to-face consultations. MAIN OUTCOMES AND MEASURES:Decision-making quality as judged by patient knowledge and involvement in decision making, patient and clinician decisional comfort (Decisional Conflict Scale) and satisfaction, encounter duration, medication adherence, depression symptoms, and the Patient Health Questionnaire for depression (PHQ-9). RESULTS:We enrolled 117 clinicians and 301 patients (67% women; mean [SD] age, 44 [15] years; mean [SD] PHQ-9 score, 15 [4]) into the trial. Compared with usual care (UC), use of DMC significantly improved patients' decisional comfort (DMC, 80% vs UC, 75%; P = .02), knowledge (DMC, 65% vs UC, 56%; P =?.03), satisfaction (risk ratio [RR], from 1.25 [P =?.81] to RR, 2.4 [P =?.002] depending on satisfaction domain), and involvement (DMC, 47% vs UC, 33%; P<.001). It also improved clinicians' decisional comfort (DMC, 80% vs UC, 68%; P <?.001) and satisfaction (RR, 1.64; P =?.02). There were no differences in encounter duration, medication adherence, or improvement of depression control between arms. CONCLUSIONS AND RELEVANCE:The DMC decision aid helped primary care clinicians and patients with moderate to severe depression select antidepressants together, improving the decision-making process without extending the visit. On the other hand, DMC had no discernible effect on medication adherence or depression outcomes. By translating comparative effectiveness into patient-centered care, use of DMC improved the quality of primary care for patients with depression. TRIAL REGISTRATION:clinicaltrials.gov Identifier: NCT01502891.
| S-EPMC4754973 | biostudies-literature
Project description:Comparative effectiveness research (CER) documents important differences in antidepressants in terms of efficacy, safety, cost, and burden to the patient. Decision aids can adapt this evidence to help patients participate in making informed choices. In turn, antidepressant therapy will more likely reflect patients' values and context, leading to improved adherence and mood outcomes.The objective of this study is to develop the Depression Medication Choice decision aid for use during primary care encounters, and to test its efficacy by conducting a clustered practical randomized trial comparing the decision aid to usual depression care in primary care practices.We will use a novel practice-based, patient-centered approach based on participatory action research that involves a multidisciplinary team of designers, investigators, clinicians, patient representatives, and other stakeholders for the development of the decision aid. We will then conduct a clustered practical randomized trial enrolling clinicians and their patients (n = 300) with moderate to severe depression from rural, suburban and inner city primary care practices (n = 10). The intervention will consist of the use of the depression medication choice decision aid during the clinical encounter. This trial will generate preliminary evidence of the relative impact of the decision aid on patient involvement in decision making, decision making quality, patient knowledge, and 6-month measures of medication adherence and mental health compared to usual depression care.Upon completion of the proposed research, we will have developed and evaluated the efficacy of the decision aid depression medication choice as a novel translational tool for CER in depression treatment, engaged patients with depression in their care, and refined the process by which we conduct practice-based trials with limited research footprint.Clinical Trials.gov: NCT01502891.
| S-EPMC3663744 | biostudies-literature
Project description:BACKGROUND:Due to the gradual loss of function, it is crucial for persons with dementia to discuss advance care planning in due course. However, nursing home staff, residents and their families feel uncomfortable to start this type of conversation, resulting in unknown (care) preferences. 'We DECide optimized' will provide tools to nursing home staff for discussing advance care planning. The primary objective is to enhance the level of shared decision-making in advance care planning conversations. We hypothesize that the training will enhance the perception of the importance, competence and frequency in which participants engage in advance care planning conversations. The secondary objective is to assess barriers and facilitators in the implementation of advance care planning policies at the ward level. METHODS:'We DECide optimized' will consist of two four-hour workshops and a homework assignment between sessions. Training components will include information on advance care planning and shared decision-making, role-play exercises and group discussions on implementation barriers at the ward level. Participating wards will receive supporting materials to stimulate residents and their families to initiate conversations. The study uses a cluster randomized controlled design, with 65 Flemish nursing home wards taking part (311 staff members). Data will be collected through a pretest-posttest model, with measurements up to 9?months after training. The RE-AIM framework will be used to evaluate the effectiveness of the implementation. Quantitative and qualitative data at the clinical, organizational and resident level will be collected. DISCUSSION:This study describes a hands-on, in-depth and multi-level training approach to improve shared decision-making in advance care planning conversations. By providing tools to ward staff, engaging the management and informing residents and their families, 'We DECide optimized' aims to decrease evidence-based barriers and to provide all stakeholders with incentives to engage in conversations about (care) preferences in an informative and participatory manner.
| S-EPMC6360673 | biostudies-other