• Appl Nurs Res · Dec 2018

    Meta Analysis

    Are noise reduction interventions effective in adult ward settings? A systematic review and meta analysis.

    • Joanne Garside, John Stephenson, Helen Curtis, Mary Morrell, Christine Dearnley, and Felicity Astin.
    • HW2/10, University of Huddersfield, Queensgate, Huddersfield HD13DH, United Kingdom of Great Britain and Northern Ireland. Electronic address: j.garside@hud.ac.uk.
    • Appl Nurs Res. 2018 Dec 1; 44: 6-17.

    ObjectiveHigh levels of environmental noise in hospitals disturbs sleep. We aimed to identify, critically appraise and summarise primary research that reports studies that tested interventions to reduce night-time noise levels in ward-settings.DesignSystematic review and meta-analysis in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement.Data SourcesKey health-related and specialist acoustic databases (CINAHL, EMBASE, MEDLINE, The Cochrane Library, PsycINFO, NHS Evidence, Knovel, Journal of the Audio Engineering Society, Journal of the Acoustical Society of America, IEEE Xplore Digital Library, Acta Acustica and Acoustics in Practice) were searched from their inception to April 2017, with no language restrictions.Review MethodsExperimental, quasi-experimental and observational study designs assessing the effect of noise reduction interventions on patient outcomes and/or environmental noise levels were included. Two reviewers independently conducted a quality appraisal using a published framework.ResultsIn total, 834 records were identified with nine studies meeting inclusion criteria. Quality appraisal showed that the level of evidence was generally weak. A range of noise reduction interventions were identified: one study implemented a single intervention, whilst the remainder were complex, multi-faceted interventions. Findings from individual studies showed mixed results but preliminary evidence suggests that noise reduction interventions can reduce environmental noise levels in ward settings and improve patients' sleep ratings. Quantitative data from 6 studies were pooled. A random effects meta-analysis determined that a synthesised estimate for the standardised mean difference in total hours sleep (no intervention - intervention) was -0.11 h (95% CI -0.46 to 0.25 h; p = 0.556), with moderate statistical heterogeneity. A random effects meta-analysis determined that a synthesised estimate for the standardised mean difference in awakenings per night (no intervention - intervention) was 0.05 (95% CI -0.20 to 0.29; p = 0.715), with negligible statistical heterogeneity. A random effects meta-analysis determined that a synthesised estimate for the odds ratio for disturbed nights (no intervention: intervention) was 0.75 (95% CI 0.55 to 1.01; p = 0.059), with low statistical heterogeneity.ConclusionsIndividual studies show that noise reduction interventions are feasible in ward settings and suggest they have potential to improve patients' in-hospital sleep experiences. However meta-analyses show insufficient evidence to support the use of such interventions at present. There is a lack of appropriately designed studies to test intervention effectiveness. Robust studies are required to identify the most effective interventions to address this significant and ubiquitous problem.What Is Known About The TopicWHAT THIS PAPER ADDS.Copyright © 2018 Elsevier Inc. All rights reserved.

      Pubmed     Full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…

What will the 'Medical Journal of You' look like?

Start your free 21 day trial now.

We guarantee your privacy. Your email address will not be shared.