9 research outputs found
AA and DHA are Decreased in Paediatric AD/HD and Inattention is Ameliorated by Increased Plasma DHA
The purpose of this study was to assess long chain polyunsaturated fatty acid (LCPUFA) status in relation to socio-behavioral outcomes in children with Attention Deficit/Hyperactivity Disorder (AD/HD). In a case-control design, plasma phospholipid fatty acid content was assessed in children aged 5–12 years with AD/HD and in typically functioning children. Dietary intakes of LCPUFAs arachidonic acid (AA; 20:4n6) and docosahexaenoic acid (DHA; 22:6n3) were quantified using a four-day food record, polymorphisms were determined in FADS1 and FADS2, and socio-behavioral outcomes were assessed using the Conners 3 Parent Rating Scales in a cross section of children with AD/HD. Compared to typically functioning children, plasma AA and DHA were 40% lower in children with AD/HD. Median intake of AA, but not DHA, was higher in children with AD/HD compared to typically functioning children. Polymorphisms in FADS1 (rs174546) and FADS2 (174575) were associated with higher plasma linoleic acid (LA; 18:2n6) level. Plasma DHA level was inversely associated with inattention score. Despite having an elevated intake of AA, children diagnosed with AD/HD have a reduction in plasma AA level which may be due in part to polymorphisms in the fatty acid desaturase (FADS) gene cluster or increased conversion to AA-derived metabolites. Increasing intake of DHA may ameliorate symptoms of inattention in AD/HD
The Use of Long-Acting Injectable Antipsychotic Therapy for Schizophrenia
Introduction
Antipsychotic medications form the cornerstone of schizophrenia treatment. However, only a minority of patients adhere to their initial antipsychotic regimen. It’s expected that Long-Acting Injectable (LAI) antipsychotics improves patient adherence to treatment, however previous research comparing the use of first generation LAI’s against oral antipsychotics reported results that were inconclusive.
Objectives and Approach
Explore the effectiveness of the use of LAI’s in the delivery of mental health services in Alberta.
Using linked data from AHS Analytics:
• Physician claims
• National Ambulatory Care Reporting System (NACRS),
• Discharge Abstract database (DAD)
• Pharmacy Information Network (PIN)
• Alberta Provincial Registry data
• Define a cohort of patients on antipsychotic medications.
• Explore and contrast outcomes related to the use of LAIs against other antipsychotic medication types. Specifically using linked data to define:
• Treatment Adherence
• Utilization of LAI vs. other medication
• Demographic differences
• Outcomes pre- and post-LAI treatment
Results
A patient cohort was established containing only cases from April 1, 2013 to March 31, 2015. Additional data was used to perform a two year washout and a one year follow-up.
Case and medication definitions were determined by a team of psychiatric clinicians. Patient comorbidity information was extracted using previously validated methods.
Overall, 6349 incident cases were identified.
Preliminary analysis indicate:
• Overall patient cohort is older than expected
• Use of additional medication types is correlated with greater health services utilization after diagnosis
• Patients on only oral medications appear to have lower treatment adherence
• Males seem to have higher treatment adherence than females
• No significant differences were found between patients with rural vs. urban postal codes
Conclusion/Implications
We faced significant challenges when defining cases, medication use and outcomes. However, the linkage of a large number of data sources gives us powerful and multi-faceted insight into the use of antipsychotic medication use in Alberta. Future work will include work on definition validations and deeper analysis of outcomes
To meta-analyze or not to meta-analyze? A combined meta-analysis of N-of-1 trial data with RCT data on amphetamines and methylphenidate for pediatric ADHD
Objectives To assess how the inclusion of N-of-1 trial data into randomized controlled trial (RCT) meta-analyses impacts the magnitude and precision of yielded treatment effects, using amphetamines and methylphenidate for pediatric attention deficit hyperactivity disorder\ua0as a model. Study Design and Setting We combined the N-of-1 and RCT data generated from previously conducted systematic reviews using parent and teacher ratings of hyperactivity and/or impulsivity as the outcome. Data were combined using standardized mean differences assuming a random effects model. The amphetamine and methylphenidate evidence were synthesized separately. Results We found that the inclusion of N-of-1 trial data in the meta-analysis impacted both magnitude and precision. The addition of the N-of-1 trial data narrowed the confidence intervals in three of the four comparisons as compared to the treatment effect yielded by RCT-only data. Furthermore, the addition of N-of-1 trials changed the overall treatment effects yielded by the RCT-only meta-analyses from statistically nonsignificant to statistically significant in one of the four outcomes. Conclusions If the overall goal of a meta-analysis is to synthesize all available evidence on a given topic, then N-of-1 trials should be included. This study shows it is possible to combine N-of-1 trial data with RCT data and the potential merits of this approach
N-of-1 trials can be aggregated to generate group mean treatment effects: a systematic review and meta-analysis
Shared Care Practices in Community Addiction and Mental Health Services: A Qualitative Study on the Experiences and Perspectives of Stakeholders
Shared care involves collaboration between primary care, secondary and tertiary care that enables the allocation of responsibilities of care according to the treatment needs of patients over the course of a mental illness. This study aims to determine stakeholders’ perspectives on the features of an ideal shared care model and barriers to practicing shared care within addiction and mental health programs in Edmonton, Canada. This is a qualitative cross-sectional study with data collected through focus group discussions. Participants included patients, general practitioners, psychiatrists, management, and therapists working in primary and secondary addiction and mental health. Responses were audio-recorded, transcribed, and analyzed thematically. Perceived barriers to the implementation of an ideal shared care model identified by participants include fragmented communication between primary and secondary healthcare providers, patient and family physician discomfort with discussing addiction and mental health, a lack of staff capacity, confidentiality issues, and practitioner buy-in. Participants also identified enablers to include implementing shared electronic medical record systems, improving communication and collaboration, physical co-location, and increasing practitioner awareness of appropriate referrals and services. This original research provides stakeholders’ perspectives on the features of an ideal shared care model and barriers to practicing shared care within addiction and mental health programs
Clinical Outcomes in Routine Evaluation Measures for Patients Discharged from Acute Psychiatric Care: Four-Arm Peer and Text Messaging Support Controlled Observational Study
Background: Peer support workers (PSW) and text messaging services (TxM) are supportive health services that are frequently examined in the field of mental health. Both interventions have positive outcomes, with TxM demonstrating clinical and economic effectiveness and PSW showing its utility within the recovery-oriented model. Objective: To evaluate the effectiveness of PSW and TxM in reducing psychological distress of recently discharged patients receiving psychiatric care. Methods: This is a prospective, rater-blinded, pilot-controlled observational study consisting of 181 patients discharged from acute psychiatric care. Patients were randomized into one of four conditions: daily supportive text messages only, peer support only, peer support plus daily text messages, or treatment as usual. Clinical Outcomes in Routine Evaluation—Outcome Measure (CORE-OM), a standardized measure of mental distress, was administered at four time points: baseline, six weeks, three months, and six months. MANCOVA was used to assess the impact of the interventions on participants’ scores on four CORE-OM subscales across the three follow-up time points. Recovery, clinical change, and reliable change in CORE-OM all-item analysis were examined across the four groups, and the prevalence of risk symptoms was measured. Results: A total of 63 patients completed assessments at each time point. The interaction between PSW and TxM was predictive of differences in scores on the CORE-OM functioning subscale with a medium effect size (F1,63 = 4.19; p = 0.045; ηp2 = 0.07). The PSW + TxM group consistently achieved higher rates of recovery and clinical and reliable improvement compared to the other study groups. Additionally, the text message group and the PSW + TxM group significantly reduced the prevalence of risk of self/other harm symptoms after six months of intervention, with 27.59% (χ2(1) = 4.42, p = 0.04) and 50% (χ2(1) = 9.03, p < 0.01) prevalence reduction, respectively. Conclusions: The combination of peer support and supportive text messaging is an impactful intervention with positive clinical outcomes for acute care patients. Adding the two interventions into routine psychiatric care for patients after discharge is highly recommended
Study of natural health product–drug adverse reactions (S.O.N.A.R.) in patients seeking mental health services
Reducing readmission rates for individuals discharged from acute psychiatric care in Alberta using peer and text message support: Protocol for an innovative supportive program
Abstract
Background
Individuals discharged from inpatient psychiatry units have the highest readmission rates of all hospitalized patients. These readmissions are often due to unmet need for mental health care compounded by limited human resources. Reducing the need for hospital admissions by providing alternative effective care will mitigate the strain on the healthcare system and for people with mental illnesses and their relatives. We propose implementation and evaluation of an innovative program which augments Mental Health Peer Support with an evidence-based supportive text messaging program developed using the principles of cognitive behavioral therapy.
Methods
A pragmatic stepped-wedge cluster-randomized trial, where daily supportive text messages (Text4Support) and mental health peer support are the interventions, will be employed. We anticipate recruiting 10,000 participants at the point of their discharge from 9 acute care psychiatry sites and day hospitals across four cities in Alberta. The primary outcome measure will be the number of psychiatric readmissions within 30 days of discharge. We will also evaluate implementation outcomes such as reach, acceptability, fidelity, and sustainability. Our study will be guided by the Consolidated Framework for Implementation Research, and the Reach-Effectiveness-Adoption-Implementation-Maintenance framework. Data will be extracted from administrative data, surveys, and qualitative methods. Quantitative data will be analysed using machine learning. Qualitative interviews will be transcribed and analyzed thematically using both inductive and deductive approaches.
Conclusions
To our knowledge, this will be the first large-scale clinical trial to assess the impact of a daily supportive text message program with and without mental health peer support for individuals discharged from acute psychiatric care. We anticipate that the interventions will generate significant cost-savings by reducing readmissions, while improving access to quality community mental healthcare and reducing demand for acute care. It is envisaged that the results will shed light on the effectiveness, as well as contextual barriers and facilitators to implementation of automated supportive text message and mental health peer support interventions to reduce the psychological treatment and support gap for patients who have been discharged from acute psychiatric care.
Trial registration
clinicaltrials.gov,
NCT05133726
. Registered 24 November 202