• Int J Nurs Stud · Oct 2020

    Review Meta Analysis

    The suffering measurement instruments in palliative care: A systematic review of psychometric properties.

    • Daniel Gutiérrez-Sánchez, Rafael Gómez-García, Antonio I Cuesta-Vargas, and David Pérez-Cruzado.
    • Department of Nursing and Podiatry, University of Málaga, Spain; Biomedical Research Institute of Málaga (IBIMA), Spain.
    • Int J Nurs Stud. 2020 Oct 1; 110: 103704.

    BackgroundThe relief of suffering is considered one of the main goals to reach at the end of life, and nurses play an essential role in the prevention and relief of suffering. Validated instruments for assessing suffering can be useful, and selection of the most appropriate measure is crucial. To date, no systematic review has been performed that contrasts the measurement properties of instruments assessing suffering in the palliative care population, according to the most up-to-date COnsensus-based Standards for the selection of health status Measurement INstruments methodology.ObjectivesThe aim of this systematic review is twofold: (1) identify the measures assessing suffering in the palliative care population, and (2) assess the measurement properties of these measures.DesignA systematic review of the measurement properties of instruments assessing suffering in palliative care was carried out.Data SourcesThe search strategy was conducted in Medline, CINAHL, PsycINFO, Web of Science, Cochrane Library, SciELO, Scopus, Cosmin database of systematic reviews and Open gray.Review MethodsThe following methodologies were applied: updated COnsensus-based Standards for the selection of health status Measurement INstruments, the Meta-Analysis of Observational Studies in Epidemiology, and the Assessing the Methodological Quality of Systematic Reviews tool. A protocol for this systematic review was registered in PROSPERO (Registration number: CRD42018106488). Eligible studies were those that satisfied the following criteria: a) validation studies of measures assessing suffering in the palliative care population, b) assessing at least one measurement property of a measure, c) published in English or Spanish and d) published between January 1980 and September 2019. The included studies were assessed for the methodological quality of the measurement properties and then compared in terms of both the measurement properties and the methodological quality of the processes used. The evidence for each measurement property was summarised and the quality of the evidence was graded using the Grading of Recommendations, Assessment, Development and Evaluation approach.ResultsThe search strategy yielded a total of nine studies and six instruments assessing suffering. The methodological quality of the studies was doubtful and the quality of the evidence was moderate for most of the measurement properties analysed. The Suffering Pictogram was the instrument with the best rating for methodological quality and quality of evidence, for most of the measurement properties evaluated.ConclusionsInstruments assessing suffering in palliative care have been identified in this systematic review. The Suffering Pictogram seems to be the most useful instrument identified. Tweetable abstract: The relief of suffering is one of the main goals to reach at the end of life, and the selection of the most appropriate measure for assessing this construct is crucial.Copyright © 2020. Published by Elsevier Ltd.

      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…