Title: | Symptoms of anxiety and depression in surgical patients at the hospital, 6 weeks and 6 months postsurgery : A questionnaire study |
Author: |
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Date: | 2020-09-16 |
Language: | English |
Scope: | 14 |
University/Institute: | Landspitali - The National University Hospital of Iceland |
Department: | Faculty of Nursing and Midwifery Faculty of Nursing |
Series: | Nursing Open; 8(1) |
ISSN: | 2054-1058 |
DOI: | https://doi.org/10.1002/nop2.620 |
Subject: | Kannanir; Kvíði; Skurðsjúklingar; Eftirlit; Þunglyndi; Spurningalistar; anxiety; depression; nursing; perioperative care; surgical patients; Depression/diagnosis; Prospective Studies; Follow-Up Studies; Humans; Patient Discharge; Anxiety/diagnosis; Hospitals; Aftercare; Surveys and Questionnaires; Skurðlækningar; Kvíði; anxiety; depression; nursing; perioperative care; surgical patients; Skurðlækningar; Kvíði; Perioperative Care; Nursing (all) |
URI: | https://hdl.handle.net/20.500.11815/2765 |
Citation:Sveinsdóttir , H , Zoëga , S , Ingadóttir , B & Blöndal , K 2020 , ' Symptoms of anxiety and depression in surgical patients at the hospital, 6 weeks and 6 months postsurgery : A questionnaire study ' , Nursing Open , vol. 8 , no. 1 , pp. 210-223 . https://doi.org/10.1002/nop2.620
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Abstract:Aims: To describe prevalence of symptoms of anxiety and depression in surgical patients at three time points: at hospital postsurgery (T1), 6 weeks (T2) and 6 months (T3) postdischarge from hospital; and detect situations and experiences that predict symptoms of anxiety and depression at T2 and T3. Design: Prospective, explorative two-site follow-up study. Methods: Patients having selected surgeries from January–July 2016 were invited to participate. Final participation was 390 patients. Participation involved answering questionnaires, including the Hospital Anxiety and Depression Scale (HADS). A stepwise multiple linear regression model was employed to calculate predictors of anxiety and depression. Results: The proportion of patients presenting with moderate-to-severe anxiety or depression ranged from 5.4%–20.2% at different times. Major predictors of anxiety at both times were not feeling rested upon awakening and higher scores on HADS-Anxiety at T1 and T2 and at T2 also experiencing more distressing postoperative symptoms. For depression, the major predictors were at both times higher scores on HADS-Depression at T2 and T3 and also at T2 not feeling rested upon awakening and at T3 reporting delayed or very delayed recovery. The four models explained from 43.9%–55.6% of the variance in symptoms of anxiety and depression. Our findings show that patients presenting with psychological distress at the hospital are in a vulnerable position. Also, that benefits of good sleep during the recovery should be emphasized during hospital stay.
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Description:The study was funded by the University of Iceland Science Fund, the Landspitali University Hospital Science Fund and the Icelandic Nurses Association Science Fund. Publisher Copyright: © 2020 The Authors. Nursing Open published by John Wiley & Sons Ltd
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