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Can linguistic analysis be used to identify whether adolescents with a chronic illness are depressed?

ABSTRACT: Comorbid depression is common in adolescents with chronic illness. We aimed to design and test a linguistic coding scheme for identifying depression in adolescents with chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME), by exploring features of e-consultations within online cognitive behavioural therapy treatment. E-consultations of 16 adolescents (aged 11-17) receiving FITNET-NHS (Fatigue in teenagers on the interNET in the National Health Service) treatment in a national randomized controlled trial were examined. A theoretically driven linguistic coding scheme was developed and used to categorize comorbid depression in e-consultations using computerized content analysis. Linguistic coding scheme categorization was subsequently compared with classification of depression using the Revised Children's Anxiety and Depression Scale published cut-offs (t-scores ?65, ?70). Extra linguistic elements identified deductively and inductively were compared with self-reported depressive symptoms after unblinding. The linguistic coding scheme categorized three (19%) of our sample consistently with self-report assessment. Of all 12 identified linguistic features, differences in language use by categorization of self-report assessment were found for "past focus" words (mean rank frequencies: 1.50 for no depression, 5.50 for possible depression, and 10.70 for probable depression; p < .05) and "discrepancy" words (mean rank frequencies: 16.00 for no depression, 11.20 for possible depression, and 6.40 for probable depression; p < .05). The linguistic coding profile developed as a potential tool to support clinicians in identifying comorbid depression in e-consultations showed poor value in this sample of adolescents with CFS/ME. Some promising linguistic features were identified, warranting further research with larger samples.

SUBMITTER: Jones LS

PROVIDER: S-EPMC7316571 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Can linguistic analysis be used to identify whether adolescents with a chronic illness are depressed?

Jones Lauren Stephanie LS Anderson Emma E Loades Maria M Barnes Rebecca R Crawley Esther E

Clinical psychology & psychotherapy 20200109 2

Comorbid depression is common in adolescents with chronic illness. We aimed to design and test a linguistic coding scheme for identifying depression in adolescents with chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME), by exploring features of e-consultations within online cognitive behavioural therapy treatment. E-consultations of 16 adolescents (aged 11-17) receiving FITNET-NHS (Fatigue in teenagers on the interNET in the National Health Service) treatment in a national randomized c ...[more]

PMID: 31840339

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Project description:BackgroundDepression is common in people with chronic physical illness and is associated with worse medical outcomes. Cognitive behavioural therapy and problem-solving improve depression, although usually have small to moderate effects among people with chronic physical illness. Behavioural activation interventions for depression, which aim to increase positive reinforcement from the environment by encouraging individuals to increase pleasant/rewarding activities, have been reported to be equivalent to cognitive behavioural therapy. However, the effectiveness of behavioural activation interventions for depression in individuals with chronic physical illness is unclear. The aims of this systematic review are to identify the extent to which different forms of behavioural activation have been used as a treatment for depression in this population, examine the effectiveness of the interventions, and identify any adaptations which have been made specifically to the interventions for individuals with a range of chronic physical illnesses.Methods/designElectronic databases will be systematically searched using terms relevant to behavioural activation and depression, and the subset of studies in people with chronic physical illnesses will be identified by manual searching. References and citations of eligible studies will be searched and experts in this field will be contacted to identify additional papers. All study designs will be included in this review to allow for a more extensive identification of the extent of different forms of behavioural activation interventions. The different forms of behavioural activation and the specific chronic physical health conditions for which this intervention has been used will be reviewed narratively. For the effectiveness of the interventions, if sufficient randomised controlled trials have been undertaken the results will be meta-analysed. Non-randomised studies will be narratively synthesised and adaptations to the interventions will also be narratively reviewed.DiscussionThe findings will inform the design, development and subsequent evaluation of a behavioural activation intervention for depression in people with a chronic physical illness. PROSPERO registration number: CRD42013004500.

Project description:IntroductionFamily and friends of seriously ill patients are key partners in providing support and health care at home, managing relationships with clinicians, and navigating complex health care systems. Becoming a knowledgeable, confident, and effective caregiver is a developmental process we term 'caregiver activation' and could be facilitated by clinicians equipped with suitable tools. Managing Your Loved One's Health (MYLOH) is a new tool to identify gaps in caregivers' knowledge, skills, and access to clinical and personal support. Created in partnership with caregivers and clinicians, MYLOH items reflect the essential dimensions of caregiving and can be used to tailor caregiver coaching to domains of greatest need. In this study, we extend MYLOH's initial focus on dementia care to caregivers of patients with other chronic life-limiting illnesses.MethodsMYLOH was completed by primary caregivers (n = 190) of people with a range of advanced chronic illnesses enrolled in the LifeCourse study, an innovative, whole-person approach to health management. Item relevance and responses were compared by group across MYLOH items and domains using z-tests for equality of proportions.ResultsAll MYLOH items were relevant to caregiving for all types of chronic illness; only 13% of caregivers answered "not my responsibility" to any question. MYLOH identified caregiving struggles across patient diagnosis groups with a few, disease-specific 'hotspots'. Overall, 64% of caregivers scored low in activation on at least one healthcare management task, especially getting enough help with caregiving, managing everyday caregiving tasks, understanding/managing medications, and knowing how to respond to rapid changes in care recipients' health status. No difficulty was unique to a specific type of care recipient illness.ConclusionsMYLOH has potential as a tool for identifying caregiver coaching and support needs in managing a range of serious chronic illnesses. Caregiving difficulties endorsed by over 20% of caregivers should be core components of chronic illness management programs regardless of disease focus, with disease-specific tailoring as required. MYLOH may be useful in evaluating caregiver interventions and health systems' performance in integrating caregivers into the care management of patients with complex life-limiting illness.

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Can linguistic analysis be used to identify whether adolescents with a chronic illness are depressed?

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Can linguistic analysis be used to identify whether adolescents with a chronic illness are depressed?

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