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      Prevalence and Measurement of Anxiety in Samples of Patients With Heart Failure : Meta-analysis

      research-article
      , PhD, MRes, BSc (Hons), , PhD, MSc, MA (Econ), BSc, , PhD, MSc, BA (Hons), RN, , MSc, , PhD, RN, FAHA, FESC
      The Journal of Cardiovascular Nursing
      Lippincott Williams & Wilkins
      anxiety, heart failure, long-term conditions, mental health, prevalence, systematic review

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          Abstract

          Objectives:

          Rates of anxiety in patients with heart failure (HF) vary widely, and not all assessment instruments used in this patient population are appropriate. It is timely to consolidate the evidence base and establish the prevalence and variance of anxiety in HF samples.

          Methods:

          A systematic review, meta-analysis, and meta-regression were conducted to identify the prevalence, variance, and measurement of anxiety in patients with HF.

          Results:

          A total of 14,367 citations were identified, with 73 studies meeting inclusion criteria. A random effects pooled prevalence of 13.1% (95% confidence interval [CI], 9.25%–16.86%) for anxiety disorders, 28.79% (95% CI, 23.30%–34.29) for probable clinically significant anxiety, and 55.5% (95% CI, 48.08%–62.83%) for elevated symptoms of anxiety was identified. Rates of anxiety were highest when measured using the Brief Symptom Scale-Anxiety scale (72.3%) and lowest when measured using the Generalised Anxiety Disorder-7 (6.3%).

          Conclusion:

          Many patients with HF would benefit if screened for anxiety and treated. The conceptualization and measurement of anxiety accounted for most variance in prevalence rates. The Generalised Anxiety Disorder-7 or the Hospital Anxiety and Depression Scale appear to be the most appropriate instruments for this clinical population, with evidence to suggest they can discriminate between depression and anxiety, omit somatic items that may contaminate identification of anxiety in a population with physical comorbidities, and provide thresholds with which to differentiate patients and target treatments. Although there are limitations with the collation of diverse measurement methods, the current review provides researchers and clinicians with a more granular knowledge of prevalence estimates of anxiety in a population of HF patients.

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          Most cited references45

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          Utility of a new procedure for diagnosing mental disorders in primary care. The PRIME-MD 1000 study.

          To assess the validity and utility of PRIME-MD (Primary Care Evaluation of Mental Disorders), a new rapid procedure for diagnosing mental disorders by primary care physicians. Survey; criterion standard. Four primary care clinics. A total of 1000 adult patients (369 selected by convenience and 631 selected by site-specific methods to avoid sampling bias) assessed by 31 primary care physicians. PRIME-MD diagnoses, independent diagnoses made by mental health professionals, functional status measures (Short-Form General Health Survey), disability days, health care utilization, and treatment/referral decisions. Twenty-six percent of the patients had a PRIME-MD diagnosis that met full criteria for a specific disorder according to the Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition. The average time required of the primary care physician to complete the PRIME-MD evaluation was 8.4 minutes. There was good agreement between PRIME-MD diagnoses and those of independent mental health professionals (for the diagnosis of any PRIME-MD disorder, kappa = 0.71; overall accuracy rate = 88%). Patients with PRIME-MD diagnoses had lower functioning, more disability days, and higher rates of health care utilization than did patients without PRIME-MD diagnoses (for all measures, P < .005). Nearly half (48%) of 287 patients with a PRIME-MD diagnosis who were somewhat or fairly well-known to their physicians had not been recognized to have that diagnosis before the PRIME-MD evaluation. A new treatment or referral was initiated for 62% of the 125 patients with a PRIME-MD diagnosis who were not already being treated. PRIME-MD appears to be a useful tool for identifying mental disorders in primary care practice and research.
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            What makes self-help interventions effective in the management of depressive symptoms? Meta-analysis and meta-regression.

            Although self-help interventions are effective in treating depression, less is known about the factors that determine effectiveness (i.e. moderators of effect). This study sought to determine whether the content of self-help interventions, the study populations or aspects of study design were the most important moderators. Randomized trials of the effectiveness of self-help interventions versus controls in the treatment of depressive symptoms were identified using previous reviews and electronic database searches. Data on moderators (i.e. patient populations, study design, intervention content) and outcomes were extracted and analysed using meta-regression. Thirty-four studies were identified with 39 comparisons. Study design factors associated with greater effectiveness were unclear allocation concealment, observer-rated outcome measures and waiting-list control groups. Greater effectiveness was also associated with recruitment in non-clinical settings, patients with existing depression (rather than those 'at risk'), contact with a therapist (i.e. guided self-help) and the use of cognitive behavioural therapy (CBT) techniques. However, only guided self-help remained significant in the multivariate analysis [regression coefficient 0.36, 95% confidence interval (CI) 0.05-0.68, p=0.03]. In the subset of guided studies, there were no significant associations between outcomes and the session length, content, delivery mode or therapist background. The results provide some insights into moderators of self-help interventions, which might assist in the design of future interventions. However, the present study did not provide a comprehensive description, and other research methods might be required to identify factors associated with the effectiveness of self-help.
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              Avoidant coping moderates the association between anxiety and patient-rated physical functioning in heart failure patients.

              Previous research has indicated that anxiety may be associated with adverse health outcomes in heart failure patients. Little research, however, has explored whether anxiety interacts with patients' coping strategies in their associations with physical functioning. The present study examined whether coping strategies moderated the association between anxiety and self-rated physical functioning in 273 heart failure patients. Hierarchical multiple regression analysis, adjusting for demographic and medical covariates, indicated that both anxiety (b=1.15, β=0.46, P<0.001) and avoidant coping (b=0.43, β=0.16, P<0.01) were significantly associated with poorer physical functioning in separate models. Results also demonstrated a significant interaction between avoidant coping and anxiety (b=0.56, β=0.14, P<0.01), such that the association between anxiety and poorer physical functioning was stronger for patients who frequently used avoidant coping strategies than for those who avoided less frequently. Approach coping, however, was not directly associated with physical functioning, nor did it moderate the association between anxiety and physical functioning. The findings suggest that anxious heart failure patients who engage in avoidant coping may be at particular risk for physical dysfunction.
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                Author and article information

                Journal
                J Cardiovasc Nurs
                J Cardiovasc Nurs
                CNJ
                The Journal of Cardiovascular Nursing
                Lippincott Williams & Wilkins
                0889-4655
                1550-5049
                July 2016
                24 June 2016
                : 31
                : 4
                : 367-379
                Affiliations
                Katherine Easton, PhD, MRes, BSc (Hons) Translational Research Scientist, CATCH (Centre for Assistive Technology and Connected Healthcare), University of Sheffield, United Kingdom.
                Peter Coventry, PhD, MSc, MA (Econ), BSc Senior Research Fellow, Institute of Population Health, University of Manchester, United Kingdom.
                Karina Lovell, PhD, MSc, BA (Hons), RN Director of Research and Professor of Mental Health, School of Nursing, Midwifery & Social Work, University of Manchester, United Kingdom.
                Lesley-Anne Carter, MSc NHR Doctoral Fellow, Institute of Population Health, University of Manchester, United Kingdom.
                Christi Deaton, PhD, RN, FAHA, FESC Florence Nightingale Foundation Professor of Clinical Nursing Research, Department of Public Health and Primary Care, Cambridge Institute of Public Health, University of Cambridge School of Clinical Medicine, United Kingdom.
                Author notes
                Correspondence Katherine Easton, PhD, MRes, BSc (Hons), CATCH, The Innovation Centre, 217 Portobello, Sheffield, S1 4DP, United Kingdom ( k.a.easton@ 123456sheffield.ac.uk ).
                Article
                CNJ14287 00013
                10.1097/JCN.0000000000000265
                4915759
                25930162
                ee5db3f1-6a1e-4a8d-9033-a9596e0ae3b7
                Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved.

                This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 3.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially.

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                Categories
                ARTICLES: Systematic Reviews and Meta-analyses
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                anxiety,heart failure,long-term conditions,mental health,prevalence,systematic review

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