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      Examination of Telemental Health Practices in Caregivers of Children and Adolescents with Mental Illnesses: A Systematic Review

      1 , 2
      Issues in Mental Health Nursing
      Informa UK Limited

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          Abstract

          In this systematic review, effects of telemental health (TMH) practices' on caregivers of children/adolescents with mental illnesses were investigated. The literature review included databases, and reference lists of published studies. All studies published until September 2021 were reviewed. Eleven studies were included. Several services were provided via TMH: education, cognitive behavioral therapy (CBT), parent training, caregiver behavior training, family CBT. The effectiveness of TMH interventions on caregivers varied from low to high. Most reproducible findings were on caregivers' satisfaction, stress, therapeutic alliance and caregiver burden. Studies had a low to high bias risk. Most studies had small samples. Results built on the small but growing literature support TMH interventions' promising role in caregivers of children with mental illness. Future studies should estimate outcomes with medium to low effect size. Other caregiver groups, rarely considered in previous studies, should be included. Bias risk should be minimized. Larger, more methodologically rigorous studies should be conducted.

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          Most cited references72

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          The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials

          Flaws in the design, conduct, analysis, and reporting of randomised trials can cause the effect of an intervention to be underestimated or overestimated. The Cochrane Collaboration’s tool for assessing risk of bias aims to make the process clearer and more accurate
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              The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories

              The psychometric properties of the Depression Anxiety Stress Scales (DASS) were evaluated in a normal sample of N = 717 who were also administered the Beck Depression Inventory (BDI) and the Beck Anxiety Inventory (BAI). The DASS was shown to possess satisfactory psychometric properties, and the factor structure was substantiated both by exploratory and confirmatory factor analysis. In comparison to the BDI and BAI, the DASS scales showed greater separation in factor loadings. The DASS Anxiety scale correlated 0.81 with the BAI, and the DASS Depression scale correlated 0.74 with the BDI. Factor analyses suggested that the BDI differs from the DASS Depression scale primarily in that the BDI includes items such as weight loss, insomnia, somatic preoccupation and irritability, which fail to discriminate between depression and other affective states. The factor structure of the combined BDI and BAI items was virtually identical to that reported by Beck for a sample of diagnosed depressed and anxious patients, supporting the view that these clinical states are more severe expressions of the same states that may be discerned in normals. Implications of the results for the conceptualisation of depression, anxiety and tension/stress are considered, and the utility of the DASS scales in discriminating between these constructs is discussed.
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                Author and article information

                Journal
                Issues in Mental Health Nursing
                Issues in Mental Health Nursing
                Informa UK Limited
                0161-2840
                1096-4673
                July 03 2022
                January 12 2022
                July 03 2022
                : 43
                : 7
                : 625-637
                Affiliations
                [1 ]Medical Services and Techniques Department, Vocational School of Health Sciences, Uşak University, Uşak, Turkey
                [2 ]Nursing Faculty, Psychiatric Nursing Department, Dokuz Eylül University, İzmir, Turkey
                Article
                10.1080/01612840.2021.2013366
                35021018
                975cd396-d1fd-4a50-a570-22a905ce22f1
                © 2022
                History

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