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McBain, Hayley; Shipley, Michael; Newman, Stanton (2015)
Publisher: BioMed Central
Journal: BMC Health Services Research
Languages: English
Types: Article
Subjects: Health Policy, Research Article, Healthcare utilization, Hospitalization, Chronic illness, Complex interventions, Meta-analysis, Systematic review, Self-monitoring, R1
Background Self-management interventions have been found to reduce healthcare utilisation in people with long-term conditions, but further work is needed to identify which components of these interventions are most effective. Self-monitoring is one such component and is associated with significant clinical benefits. The aim of this systematic review of reviews is to assess the impact of self-monitoring interventions on healthcare utilisation across a range of chronic illnesses. Methods An overview of published systematic reviews and meta-analyses. Multiple databases were searched (MEDLINE, CINAHL, PsycINFO, EMBASE, AMED, EBM and HMIC) along with the reference lists of included reviews. A narrative synthesis was performed, accompanied by calculation of the Corrected Cover Area to understand the impact of overlapping primary research papers. Results A total of 17 systematic reviews and meta-analyses across three chronic conditions, heart failure, hypertension and chronic obstructive pulmonary disease, were included. Self-monitoring was associated with significant reductions in hospitalisation and re-admissions to hospital. Conclusions Self-monitoring has the potential to reduce the pressure placed on secondary care services, but this may lead to increase in services elsewhere in the system. Further work is needed to determine how these findings affect healthcare costs. Electronic supplementary material The online version of this article (doi:10.1186/s12913-015-1221-5) contains supplementary material, which is available to authorized users.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    The results below are discovered through our pilot algorithms. Let us know how we are doing!

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