Psychosocial Impact Of Depression On Chronic Illness

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Psychosocial impact of depression on chronic illness1Psychosocial impact of depression on chronic illnessStudent's Name:Instructor's Name:Date:
Psychosocial impact of depression on chronic illness2Psychosocial impact of depression on chronic illnessGathright, E.C., Goldstein, C.M., Josephson, R.A., and Hughes, J.W., 2017. Depressionincreases the risk of mortality in patients with heart failure: a meta-analysis.Journal ofpsychosomatic research,94: 82-89This study examines the coexistence of depression and heart failure (Gathright et al, 2017). Thestudy clearly notes that there is a high existence of co-morbid depression cases of heart diseasesand resultant heart failure (Gathright et al, 2017). The study additionally mentions the predictedincrease in the occurrence of these disorders in the near future (Gathright et al, 2017). Theauthors observe that although the rates of survival in heart failure have improved, its mortalityrate is still high. The authors make a clear connection of depression and heart failure in patientsadmitted for myocardial infarction or heart failure in hospitals. The study points out thatliterature does not present much evidence connection between depression and mortality fromheart failure and hypothesises that elevation in symptoms of depression mortality due to heartfailure (Gathright et al, 2017). The study additionally aims to assess the factors involved inestablishing a connection between the two conditions. The study design is a standard and reliablemethod i.e. a meta- analysis that allows for wider horizon of understanding and broader scope fordata procurement. The study design eliminates bias by using a random effects model ofmultivariate statistical analysis. Heterogeneous and subgroup analysis is used in the study andthis ensures reliability. The authors have eliminated literature bias by publication as well. Theprimary findings of the study include the observation that prognosis of heart failure wasnegatively impacted by depression along with increased mortality (Gathright et al, 2017). Thus,they deduce that depression is a crucial prognostic marker of heart failure. The current study islimited study population, limited information for moderator analyses, impact on antidepressant
Psychosocial impact of depression on chronic illness3on heart failure prognosis, types of comorbidities, onset of depression, duration and frequency ofhospital admission etc (Gathright et al, 2017). The authors relevantly suggest that futureendeavours in this direction must include analyses of impact of anti-depressant use, frequency ofhospitalizations, and types of comorbidities as important considerations (Gathright et al, 2017).Hopko, D.R., Clark, C.G., and Cannity, K. 2016. Pretreatment depression severity inbreast cancer patients and its relation to treatment response to behaviour therapy.HealthPsychology,35(1): 10-18Breast cancer patients report the highest number of depression incidents according to research.The authors indicate that there is a deficit for research that is existent on the different variablesand elements that impact the severity of depression (Hopko et al, 2016). Research has notestablished a plausible connection between the severity of the phase of depression and theresponse of patients to psychotherapy (Hopko et al, 2016). The authors emphasise the criticalneed of assessing the several correlates of the severity of depression along with examining theresponse of patients to treatment (Hopko et al, 2016). This study has used a randomized trialmethod and thus eliminates bias or limitation. The study has an unprecedented aim of promotingactivation of behaviour and has adopted a problem-solving therapeutic strategy for patients withdepression co-morbid with breast cancer (Hopko et al, 2016). The current study displays a broadscope of evaluation and coverage of critical issues as it has successfully evaluated variables suchas psychosocial, socio-demographic, and those related to cancer occurrence and living withcancer. The findings of the study have been consistent with the models of behaviour indepression as established by research. The findings are reliable and indicate that greater levels ofanxiety and lack of environmental stimulation lead to increased depression in patients (Hopko etal, 2016). The study displays a reliable and consistent approach and establishes a plausible
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