Prevalence of common mental health disorders in adults who are high or costly users of healthcare services: protocol for a systematic review and meta-analysis

Abstract

IntroductionIn all healthcare settings, a small proportion of patients account for a large level of healthcare use and associated high healthcare costs. Depression and anxiety are common co-morbidities in patients who are high users of care. The aims of this systematic review are to: (1) estimate the prevalence of anxiety/depression in adults who are high users of general physical healthcare services and/or who accrue high healthcare costs (2) estimate the magnitude of healthcare use associated with the presence of anxiety/depression.Methods and analysisThis review will include any studies where patients are high users of primary, secondary or emergency healthcare services and/or accrue high healthcare costs. This is the first systematic review to focus on patients who are over the age of 18, whose degree of anxiety/depression has been evaluated with a standardised questionnaire or by a clinical interview generating a diagnosis according to international diagnostic criteria. The review will include eligible studies indexed in Medline, PsychINFO, Embase, Cumulative Index to Nursing and Allied Health Literature, Prospective Register of Systematic Reviews, Cochrane Library from inception to 1 April 2019. We will estimate the prevalence of anxiety/depression in these populations and the magnitude of use associated with anxiety/depression across various general physical healthcare settings. We will provide a narrative description of findings and factors that may influence them. A meta-analysis may be pursued if the degree of heterogeneity across studies is acceptable.Ethics and disseminationThis systematic review will use data from existing studies, hence no ethical approvals are required. Findings will be disseminated in a peer-reviewed publication and at relevant academic meetings.PROSPERO registration numberPROSPERO CRD42018102628.

A Method for Predicting Hemolytic Potency of Chemically Modified Peptides From Its Structure

“…Hence, modification is an important aspect of peptide-based therapeutic drug development. Thus, various computational research is being focused on modified peptides such as "Prediction of Cell-Penetrating Potential of Modified Peptides Containing Natural and Chemically Modified Residues" (Gautam et al, 2013;Gautam et al, 2015;Kumar et al, 2018), "Antimicrobial Potential of a Chemically Modified Peptide" , etc. While developing therapeutic peptides, consideration of its hemolytic activity is an important step.…”

Dietary intake of branched-chain amino acids in relation to depression, anxiety and psychological distress

“…Detailed information about the design, foods included as well as the face validity of this questionnaire has been reported elsewhere [ 18 ]. Briefly, the questionnaire contained five categories of foods and dishes: [ 1 ] mixed dishes (cooked or canned, 29 items) [ 2 ]; carbohydrate-based foods (different types of bread, cakes, biscuits and potato, 10 items) [ 3 ]; dairy products (dairies, butter and cream, 9 items) [ 4 ]; fruits and vegetables (22 items); and [ 5 ] miscellaneous food items and beverages (including sweets, fast foods, nuts, desserts and beverages, 36 items). For each food item, a commonly consumed portion size was defined.…”

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Unsupervised Classifications of Depression Levels Based on Machine Learning Algorithms Perform Well as Compared to Traditional Norm-Based Classifications

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“…Researchers have also determined different cutoff points (norms) for various categories of depression. For example, for BDI-13, the score ranges for various levels of depression are 0-4 (No Depression), 5-7 (Mild), [8][9][10][11][12][13][14][15], and . These cutoff points were based on the original study of Beck et al (13).…”