Outputs (3)

Self-reported sleep duration and quality and cardiovascular disease and mortality: a dose-response meta-analysis (2018)
Journal Article
Chew-Graham, & Mamas. (2018). Self-reported sleep duration and quality and cardiovascular disease and mortality: a dose-response meta-analysis. Journal of the American Heart Association Cardiovascular and Cerebrovascular Disease, https://doi.org/10.1161/jaha.118.008552

Abstract Background: There is growing evidence that sleep duration and quality may be associated with cardiovascular harm and mortality. Methods and Results: We conducted a systematic review, meta-analysis and spline analysis of prospective cohort st... Read More about Self-reported sleep duration and quality and cardiovascular disease and mortality: a dose-response meta-analysis.

Long-term clinical and cost-effectiveness of collaborative care (versus usual care) for people with mental–physical multimorbidity: cluster-randomised trial (2018)
Journal Article
Chew-Graham, C. (2018). Long-term clinical and cost-effectiveness of collaborative care (versus usual care) for people with mental–physical multimorbidity: cluster-randomised trial. British Journal of Psychiatry, 456-463. https://doi.org/10.1192/bjp.2018.70

Background Collaborative care can support the treatment of depression in people with long-term conditions, but long-term benefits and costs are unknown. Aims To explore the long-term (24-month) effectiveness and cost-effectiveness of collaborati... Read More about Long-term clinical and cost-effectiveness of collaborative care (versus usual care) for people with mental–physical multimorbidity: cluster-randomised trial.

Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design (2018)
Journal Article
Mamas, Chew-Graham, & Mallen. (2018). Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design. BMJ Open, https://doi.org/10.1136/bmjopen-2017-020926

Introduction: The increasing prevalence of type 2 diabetes (T2DM) presents a significant burden on affected individuals and health-care systems internationally. There is, however, no agreed validated measure to infer diabetes severity from electronic... Read More about Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design.