30
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      PReventing early unplanned hOspital readmission aFter critical ILlnEss (PROFILE): protocol and analysis framework for a mixed methods study

      protocol

      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

          Introduction

          Survivors of critical illness experience multidimensional disabilities that reduce quality of life, and 25–30% require unplanned hospital readmission within 3 months following index hospitalisation. We aim to understand factors associated with unplanned readmission; develop a risk model to identify intensive care unit (ICU) survivors at highest readmission risk; understand the modifiable and non-modifiable readmission drivers; and develop a risk assessment tool for identifying patients and areas for early intervention.

          Methods and analysis

          We will use mixed methods with concurrent data collection. Quantitative data will comprise linked healthcare records for adult Scottish residents requiring ICU admission (1 January 2000–31 December 2013) who survived to hospital discharge. The outcome will be unplanned emergency readmission within 90 days of index hospital discharge. Exposures will include pre-ICU demographic data, comorbidities and health status, and critical illness variables representing illness severity. Regression analyses will be used to identify factors associated with increased readmission risk, and to develop and validate a risk prediction model. Qualitative data will comprise recorded/transcribed interviews with up to 60 patients and carers recently experiencing unplanned readmissions in three health board regions. A deductive and inductive thematic analysis will be used to identify factors contributing to readmissions and how they may interact. Through iterative triangulation of quantitative and qualitative data, we will develop a construct/taxonomy that captures reasons and drivers for unplanned readmission. We will validate and further refine this in focus groups with patients/carers who experienced readmissions in six Scottish health board regions, and in consultation with an independent expert group. A tool will be developed to screen for ICU survivors at risk of readmission and inform anticipatory interventions.

          Ethics and dissemination

          Data linkage has approval but does not require ethical approval. The qualitative study has ethical approval. Dissemination with key healthcare stakeholders and policymakers is planned.

          Trial registration number

          UKCRN18023.

          Related collections

          Most cited references29

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

          The MOS social support survey.

          This paper describes the development and evaluation of a brief, multidimensional, self-administered, social support survey that was developed for patients in the Medical Outcomes Study (MOS), a two-year study of patients with chronic conditions. This survey was designed to be comprehensive in terms of recent thinking about the various dimensions of social support. In addition, it was designed to be distinct from other related measures. We present a summary of the major conceptual issues considered when choosing items for the social support battery, describe the items, and present findings based on data from 2987 patients (ages 18 and older). Multitrait scaling analyses supported the dimensionality of four functional support scales (emotional/informational, tangible, affectionate, and positive social interaction) and the construction of an overall functional social support index. These support measures are distinct from structural measures of social support and from related health measures. They are reliable (all Alphas greater than 0.91), and are fairly stable over time. Selected construct validity hypotheses were supported.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The development of a comorbidity index with physical function as the outcome.

            Physical function is an important measure of success of many medical and surgical interventions. Ability to adjust for comorbid disease is essential in health services research and epidemiologic studies. Current indices have primarily been developed with mortality as the outcome, and are not sensitive enough when the outcome is physical function. The objective of this study was to develop a self-administered Functional Comorbidity Index with physical function as the outcome. The index was developed using two databases: a cross-sectional, simple random sample of 9,423 Canadian adults and a sample of 28,349 US adults seeking treatment for spine ailments. The primary outcome measure was the SF-36 physical function (PF) subscale. The Functional Comorbidity Index, an 18-item list of diagnoses, showed stronger association with physical function (model R(2) = 0.29) compared with the Charlson (model R(2) = 0.18), and Kaplan-Feinstein (model R(2) = 0.07) indices. The Functional Comorbidity Index correctly classified patients into high and low function, in 77% of cases. This new index contains diagnoses such as arthritis not found on indices used to predict mortality, and the FCI explained more variance in PF scores compared to indices designed to predict mortality.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Posttraumatic stress disorder in critical illness survivors: a metaanalysis.

              To conduct a systematic review and metaanalysis of the prevalence, risk factors, and prevention/treatment strategies for posttraumatic stress disorder symptoms in critical illness survivors.
                Bookmark

                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2016
                28 June 2016
                : 6
                : 6
                : e012590
                Affiliations
                [1 ]University Department of Anaesthesia, Critical Care, and Pain Medicine, School of Clinical Sciences, University of Edinburgh , Edinburgh, UK
                [2 ]MRC Centre for Inflammation Research, University of Edinburgh , Edinburgh, UK
                [3 ]Usher Institute , Centre for Population Health Sciences, University of Edinburgh , Edinburgh, UK
                [4 ]Department of Nursing Studies, University of Dundee , Dundee, UK
                Author notes
                [Correspondence to ] Professor Timothy S Walsh; twalsh@ 123456staffmail.ed.ac.uk
                Article
                bmjopen-2016-012590
                10.1136/bmjopen-2016-012590
                4932276
                27354086
                7932dc29-6f13-49e3-8502-2cd504c45c2c
                Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

                This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/

                History
                : 10 May 2016
                : 19 May 2016
                Funding
                Funded by: Chief Scientist Office, http://dx.doi.org/10.13039/501100000589;
                Award ID: CZH/401026
                Categories
                Intensive Care
                Protocol
                1506
                1707
                1704
                1722
                1725
                1727
                1730

                Medicine
                qualitative research,rehabilitation medicine
                Medicine
                qualitative research, rehabilitation medicine

                Comments

                Comment on this article