Gemma Pearce1, Hannah L Parke2, Hilary Pinnock3, Eleni Epiphaniou2, Claire L A Bourne4, Aziz Sheikh3, Stephanie J C Taylor5. 1. Centre for Technology Enabled Health Research (CTEHR), Coventry University, UK. 2. Centre for Primary Care and Public Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, UK. 3. Asthma UK Centre for Applied Research, Allergy and Respiratory Research Group, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, UK. 4. Centre for Exercise and Rehabilitation Science (CERS), Respiratory Biomedical Research Unit, Glenfield Hospital, UK. 5. Centre for Primary Care and Public Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, UK s.j.c.taylor@qmul.ac.uk.
Abstract
BACKGROUND: Supporting self-management is a core response of health care systems globally to the increasing prevalence of long-term conditions. Lack of a comprehensive taxonomy (or classification) of self-management support components hinders characterization and, ultimately, understanding of these frequently complex, multi-component interventions. OBJECTIVE: To develop a comprehensive, descriptive taxonomy of self-management support components. METHODS: Components were derived from the 969 unique randomized controlled trials described in the 102 systematic reviews and 61 implementation trials, examining 14 diverse long-term conditions included in the Practical Reviews in Self-Management Support (PRISMS) project followed by discussion at an expert stakeholder workshop. The utility of the taxonomy was then tested using a self-management support intervention for cancer survivors. RESULTS: The PRISMS taxonomy comprises 14 components that might be used to support self-management (e.g. information about condition/management, provision of equipment, social support), when delivered to someone with a long-term condition or their carer. Overarching dimensions are delivery mode; personnel delivering the support; intervention targeting; and intensity, frequency and duration of the intervention. The taxonomy does not consider the effectiveness or otherwise of the different components or the overarching dimensions. CONCLUSIONS: The PRISMS taxonomy offers a framework to researchers describing self-management support interventions, to reviewers synthesizing evidence and to developers of health services for people with long-term conditions.
BACKGROUND: Supporting self-management is a core response of health care systems globally to the increasing prevalence of long-term conditions. Lack of a comprehensive taxonomy (or classification) of self-management support components hinders characterization and, ultimately, understanding of these frequently complex, multi-component interventions. OBJECTIVE: To develop a comprehensive, descriptive taxonomy of self-management support components. METHODS: Components were derived from the 969 unique randomized controlled trials described in the 102 systematic reviews and 61 implementation trials, examining 14 diverse long-term conditions included in the Practical Reviews in Self-Management Support (PRISMS) project followed by discussion at an expert stakeholder workshop. The utility of the taxonomy was then tested using a self-management support intervention for cancer survivors. RESULTS: The PRISMS taxonomy comprises 14 components that might be used to support self-management (e.g. information about condition/management, provision of equipment, social support), when delivered to someone with a long-term condition or their carer. Overarching dimensions are delivery mode; personnel delivering the support; intervention targeting; and intensity, frequency and duration of the intervention. The taxonomy does not consider the effectiveness or otherwise of the different components or the overarching dimensions. CONCLUSIONS: The PRISMS taxonomy offers a framework to researchers describing self-management support interventions, to reviewers synthesizing evidence and to developers of health services for people with long-term conditions.
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