| Literature DB >> 35247182 |
Abstract
When conceptualising engagement with treatment, it may be useful to contrast 'disease', which refers to underlying psychobiological dysfunction, with 'illness', which describes the experience of the person with that disease. Knowledge of disease, as well as understanding of illness, including patients' explanatory models of symptoms, may be useful in facilitating shared decision-making. Ideally, physicians are able to integrate evidence-based medicine with values-based medicine by combining the best research evidence with patients' unique needs and preferences. This, in turn, requires taking a systematic approach to the assessment of a range of domains (i.e. symptom profile, clinical subtype, severity and comorbidity) in individuals with depression, and individualising treatment accordingly. While data are now available from a range of randomised clinical trials addressing treatments for depressive symptoms, it is also notable that a decrease in symptom severity does not necessarily correlate with an increase in functioning, which highlights the need to monitor patients for the effect of treatment on a range of outcomes including comorbid anxiety, emotional responsiveness, and sleep quality. Importantly, recent epidemiological data emphasise the importance of persistence with treatment; most patients with major depression who persist with treatment eventually feel helped.Entities:
Keywords: Depression; Patient engagement; Shared decision-making; Treatment outcomes; Treatment persistence
Mesh:
Year: 2022 PMID: 35247182 PMCID: PMC9016040 DOI: 10.1007/s12325-021-02029-6
Source DB: PubMed Journal: Adv Ther ISSN: 0741-238X Impact factor: 4.070
Fig. 1Forest plot of a large network meta-analysis. Antidepressant agents were compared with placebo [9]. OR odds ratio, CrI credible interval. Reprinted from Cipriani et al. [9]
Fig. 2Effect of agomelatine on anxiety-related subscores (questions 10 and 11) of the Hamilton Depression Rating Scale in a pooled analysis of three randomised, double-blind, placebo-controlled studies [16]. E(SE) Effect size (standard error), W week. Used with permission of John Wiley & Sons Ltd, from Ref. [16]; permission conveyed through Copyright Clearance Center, Inc
| Patient engagement with treatment is facilitated by shared decision-making which combines the best research evidence with the patient’s unique values. |
| Individualised treatment of depression requires systematic assessment of a range of domains; findings may be used to tailor interventions appropriately. |
| The majority of adults with a lifetime history of treated depression eventually receive treatment that they consider helpful, but many stop seeking treatment after early unhelpful treatment; persistence is therefore key. |