The impact of self-monitoring in chronic illness on healthcare utilisation: a systematic review of reviews

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 ben...

Full description

Saved in:
Bibliographic Details
Published inBMC health services research Vol. 15; no. 1; p. 565
Main Authors McBain, Hayley, Shipley, Michael, Newman, Stanton
Format Journal Article
LanguageEnglish
Published England BioMed Central Ltd 18.12.2015
BioMed Central
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary: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. 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. 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. 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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Review-3
content type line 23
ObjectType-Undefined-4
ISSN:1472-6963
1472-6963
DOI:10.1186/s12913-015-1221-5