0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Anxiety and associated factors among medical and surgical patients in Ethiopia: A systematic review and meta-analysis

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Individuals diagnosed with chronic medical conditions and patients appointed to undergo surgery face various degrees of anxiety as a result of doubts related to the outcome of surgery, and the psycho-socioeconomic costs of the medical illness. This can affect the treatment process and even the outcome of patients with medical and surgical cases. Though different studies were conducted on anxiety and associated factors among medical and surgical patients in Ethiopia, the findings were found to be inconsistent and had a wide discrepancy. So, this systematic review and meta-analysis estimated the pooled effect size of anxiety among this population and guides to plan appropriate intervention at a national level.

          Methods

          Studies conducted on anxiety and associated factors among medical and surgical patients in Ethiopia were included. Data was extracted using Microsoft Excel and analyzed using STATA version 11. The random-effects model was used to estimate the pooled effect size of anxiety and its determinants with 95% confidence intervals. Funnel plots and Egger’s regression tests were employed to check publication bias. Sub-group and sensitivity analyses were also conducted.

          Results

          The pooled prevalence of anxiety among medical and surgical patients in Ethiopia was found to be 48.82% with a 95% CI (42.66, 54.99). Being female[OR = 2.84(2.02, 4.01)], fear of death [OR = 2.93(1.57, 5.50)], and history of surgery[OR = 0.42(0.27, 0.065)], among surgical patients and being female[OR = 2.35(1.94, 2.850], having poor social support[OR = 2.22(1.62, 3.05)], perceived stigma[OR = 4.25(1.97, 9.18)] and family history of mental illness[OR = 1.86(1.21, 2.86)] among medical patients were significantly associated with anxiety in this systematic review and meta-analysis.

          Conclusion and recommendation

          The pooled prevalence of anxiety among medical and surgical patients in Ethiopia was found to be high. Therefore, it would be good for professionals to screen patients for anxiety besides managing their medical or surgical cases to detect them early and address them.

          Related collections

          Most cited references76

          • Record: found
          • Abstract: not found
          • Article: not found

          Bias in meta-analysis detected by a simple, graphical test

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Quantifying heterogeneity in a meta-analysis.

            The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity. Copyright 2002 John Wiley & Sons, Ltd.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis.

              We study recently developed nonparametric methods for estimating the number of missing studies that might exist in a meta-analysis and the effect that these studies might have had on its outcome. These are simple rank-based data augmentation techniques, which formalize the use of funnel plots. We show that they provide effective and relatively powerful tests for evaluating the existence of such publication bias. After adjusting for missing studies, we find that the point estimate of the overall effect size is approximately correct and coverage of the effect size confidence intervals is substantially improved, in many cases recovering the nominal confidence levels entirely. We illustrate the trim and fill method on existing meta-analyses of studies in clinical trials and psychometrics.
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                24 July 2024
                2024
                : 19
                : 7
                : e0306413
                Affiliations
                [001] Department of Psychiatry, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
                University of Oulu: Oulun Yliopisto, FINLAND
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-4081-790X
                Article
                PONE-D-23-22543
                10.1371/journal.pone.0306413
                11268606
                39046996
                a6f8e089-c8fb-430c-b1af-87881a3fc4a7
                © 2024 Rtbey et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 7 December 2023
                : 12 June 2024
                Page count
                Figures: 7, Tables: 3, Pages: 17
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Surgical and Invasive Medical Procedures
                Biology and Life Sciences
                Psychology
                Emotions
                Anxiety
                Social Sciences
                Psychology
                Emotions
                Anxiety
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Metaanalysis
                Physical Sciences
                Mathematics
                Statistics
                Statistical Methods
                Metaanalysis
                Research and Analysis Methods
                Research Assessment
                Systematic Reviews
                People and Places
                Population Groupings
                Ethnicities
                African People
                Amhara People
                People and Places
                Geographical Locations
                Africa
                Ethiopia
                Science Policy
                Research Integrity
                Publication Ethics
                Research and Analysis Methods
                Database and Informatics Methods
                Database Searching
                Custom metadata
                All the data is available in the paper.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article