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Computerised clinical decision support systems and absolute improvements in care: meta-analysis of controlled clinical trials.
Kwan, Janice L; Lo, Lisha; Ferguson, Jacob; Goldberg, Hanna; Diaz-Martinez, Juan Pablo; Tomlinson, George; Grimshaw, Jeremy M; Shojania, Kaveh G.
Affiliation
  • Kwan JL; Sinai Health System, Department of Medicine, 600 University Avenue, Toronto, ON M5G 1X5, Canada janice.kwan@utoronto.ca.
  • Lo L; Department of Medicine, University of Toronto, Toronto, ON, Canada.
  • Ferguson J; Centre for Quality Improvement and Patient Safety, University of Toronto, Toronto, ON, Canada.
  • Goldberg H; Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Diaz-Martinez JP; Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
  • Tomlinson G; Biostatistics Research Unit, University Health Network and Sinai Health System, Toronto, ON, Canada.
  • Grimshaw JM; Biostatistics Research Unit, University Health Network and Sinai Health System, Toronto, ON, Canada.
  • Shojania KG; Clinical Epidemiology Program, Ottawa Hospital Research Institute and Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
BMJ ; 370: m3216, 2020 09 17.
Article de En | MEDLINE | ID: mdl-32943437
ABSTRACT

OBJECTIVE:

To report the improvements achieved with clinical decision support systems and examine the heterogeneity from pooling effects across diverse clinical settings and intervention targets.

DESIGN:

Systematic review and meta-analysis. DATA SOURCES Medline up to August 2019. ELIGIBILITY CRITERIA FOR SELECTING STUDIES AND

METHODS:

Randomised or quasi-randomised controlled trials reporting absolute improvements in the percentage of patients receiving care recommended by clinical decision support systems. Multilevel meta-analysis accounted for within study clustering. Meta-regression was used to assess the degree to which the features of clinical decision support systems and study characteristics reduced heterogeneity in effect sizes. Where reported, clinical endpoints were also captured.

RESULTS:

In 108 studies (94 randomised, 14 quasi-randomised), reporting 122 trials that provided analysable data from 1 203 053 patients and 10 790 providers, clinical decision support systems increased the proportion of patients receiving desired care by 5.8% (95% confidence interval 4.0% to 7.6%). This pooled effect exhibited substantial heterogeneity (I2=76%), with the top quartile of reported improvements ranging from 10% to 62%. In 30 trials reporting clinical endpoints, clinical decision support systems increased the proportion of patients achieving guideline based targets (eg, blood pressure or lipid control) by a median of 0.3% (interquartile range -0.7% to 1.9%). Two study characteristics (low baseline adherence and paediatric settings) were associated with significantly larger effects. Inclusion of these covariates in the multivariable meta-regression, however, did not reduce heterogeneity.

CONCLUSIONS:

Most interventions with clinical decision support systems appear to achieve small to moderate improvements in targeted processes of care, a finding confirmed by the small changes in clinical endpoints found in studies that reported them. A minority of studies achieved substantial increases in the delivery of recommended care, but predictors of these more meaningful improvements remain undefined.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Systèmes d'aide à la décision clinique / Amélioration de la qualité Type d'étude: Clinical_trials / Guideline / Prognostic_studies / Systematic_reviews Limites: Humans Langue: En Journal: BMJ Sujet du journal: MEDICINA Année: 2020 Type de document: Article Pays d'affiliation: Canada

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Systèmes d'aide à la décision clinique / Amélioration de la qualité Type d'étude: Clinical_trials / Guideline / Prognostic_studies / Systematic_reviews Limites: Humans Langue: En Journal: BMJ Sujet du journal: MEDICINA Année: 2020 Type de document: Article Pays d'affiliation: Canada
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