Supplemental Material - Self-evaluation and depression in adolescents with a chronic illness: A systematic review

Supplemental Material for Self-evaluation and depression in adolescents with a chronic illness: A systematic review by E Hards, F Orchard, S Khalid, C D’souza, F Cohen, E Gowie and ME Loades in Clinical Child Psychology and Psychiatry</p

Self-evaluation and depression in adolescents with a chronic illness: a systematic review

Objective To conduct a systematic review to establish what is known about the relationship between depression and self-evaluation in adolescents with a chronic illness. Methods A systematic search was conducted using MEDLINE, EMBASE, PsycINFO, Web of Science, The Cochrane Library, and hand-searching. We sought to identify primary research that examined both the cross-sectional and longitudinal associations between depression and self-evaluation in adolescents with chronic illness. The search resulted in 8941 retrieved articles that were screened against an inclusion criteria. A total of 4 papers were included in the review. The MMAT used to assess study methodological quality. Results A narrative synthesis was conducted, and a summary figure was included. These 4 studies included 236 adolescents aged 9–18 years with depression and either Type 1 Diabetes (T1D), chronic pain, headaches, or Inflammatory Bowel Disease (IBD). The limited existing evidence indicated that that depression was associated with negative self-evaluation in adolescents in some but not all chronic illnesses investigated to date. We also found some evidence that psychological intervention can help to improve self-evaluation, specifically in adolescents with T1D. Conclusions More robust studies of the association between self-evaluation and depression in adolescents with a chronic illness is needed, with attention to the nuances of differences between chronic illnesses. The existing evidence indicates that there may be a stronger association in some chronic illnesses. Pilot data suggest that specific psychological therapies may improve self-evaluation, although much more extensive evaluation is needed

Physiologically Based Pharmacokinetic Model To Predict Metoprolol Disposition in Healthy and Disease Populations

The evolution in the development of drugs has increased the popularity of physiologically based pharmacokinetic (PBPK) models. This study seeks to assess the PK of metoprolol in populations with healthy, chronic kidney disease (CKD), and acute myocardial infarction (AMI) conditions by developing and evaluating PBPK models. An extensive literature review for identifying and selecting plasma concentration vs time profile data and other drug-related parameters was undergone for their integration into the PK-Sim program followed by the development of intravenous, oral, and diseased models. The developed PBPK model of metoprolol was then evaluated using the visual predictive checks, mean observed/predicted ratios (Robs/pre), and average fold error for all PK parameters, i.e., the area under the curve (AUC), maximal plasma concentration, and clearance. The model evaluation depicted that none of the PK parameters were out of the allowed range (2-fold error) in the case of the mean Robs/pre ratios. The model anticipations were executed to determine the influence of diseases on unbound and total AUC after the application of metoprolol in healthy, moderate, and severe CKD. The dosage reductions were also suggested based on differences in unbound and total AUC in different stages of CKD. The developed PBPK models have successfully elaborated the PK changes of metoprolol occurring in healthy individuals and those with renal and heart diseases (CKD & AMI), which may be fruitful for dose optimization among diseased patients

A review on the clinical pharmacokinetics of hydralazine

Hydralazine is a vasodilator used to treat hypertension, pre-eclampsia, and heart failure. The current article reviews the clinical pharmacokinetics (PK) of hydralazine, which can be useful for clinicians in optimizing its dose and dosing frequency to avoid adverse effects and unexpected interactions that could risk patients’ lives. This review has summarized the PK parameters for hydralazine after performing an extensive literature search. It includes 20 publications that were selected after applying eligibility criteria out of a pool of literature that was searched using Google Scholar, PubMed, Cochrane Central, and EBSCO databases. The included studies consisted of concentration vs. time profiles of hydralazine. If the PK data were not tabulated in the given study, the concentration vs. time profiles were scanned for the extraction of the PK data. The PK parameters were calculated by applying a non-compartmental analysis (NCA). The current review will aid clinicians in understanding hydralazine PK in different disease populations. This clinical PK data might also be helpful in the development of a pharmacokinetic model of hydralazine.</p

Datasheet1_What interventions should we implement in England's mental health services? The mental health implementation network (MHIN) mixed-methods approach to rapid prioritisation.docx

IntroductionSetting mental health priorities helps researchers, policy makers, and service funders improve mental health services. In the context of a national mental health implementation programme in England, this study aims to identify implementable evidence-based interventions in key priority areas to improve mental health service delivery.MethodsA mixed-methods research design was used for a three step prioritisation approach involving systematic scoping reviews (additional manuscript under development), expert consultations and data triangulation. Groups with diverse expertise, including experts by experience, worked together to improve decision-making quality by promoting more inclusive and comprehensive discussions. A multi-criteria decision analysis (MCDA) model was used to combine participants' varied opinions, data and judgments about the data's relevance to the issues at hand during a decision conferencing workshop where the priorities were finalised.ResultsThe study identified mental health interventions in three mental health priority areas: mental health inequalities, child and adolescent mental health, comorbidities with a focus on integration of mental and physical health services and mental health and substance misuse problems. Key interventions in all the priority areas are outlined. The programme is putting some of these evidence-based interventions into action nationwide in each of these three priority mental health priority areas.ConclusionWe report an inclusive attempt to ensure that the list of mental health service priorities agrees with perceived needs on the ground and focuses on evidence-based interventions. Other fields of healthcare may also benefit from this methodological approach if they need to make rapid health-prioritisation decisions.</p