Impact of clinical registries on quality of patient care and health outcomes: protocol for a systematic review

被引:25
|
作者
Hoque, Dewan Md Emdadul [1 ,2 ]
Kumari, Varuni [1 ]
Ruseckaite, Rasa [1 ]
Romero, Lorena [3 ]
Evans, Sue M. [1 ]
机构
[1] Monash Univ, Dept Epidemiol & Prevent Med, Sch Publ Hlth & Prevent Med, Alfred Ctr, Melbourne, Vic 3004, Australia
[2] Int Ctr Diarrhoeal Dis Res, GPO Box 128, Dhaka 1000, Bangladesh
[3] The Alfred, Ian Potter Lib, AMREP, Ground Floor, Melbourne, Vic, Australia
来源
BMJ OPEN | 2016年 / 6卷 / 04期
关键词
DISEASE REGISTRIES; IMPROVEMENT; COUNTRIES; SURGERY;
D O I
10.1136/bmjopen-2015-010654
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: Many developed countries have regional and national clinical registries aimed at improving health outcomes of patients diagnosed with particular diseases or cared for in particular healthcare settings. Clinical quality registries (CQRs) are clinical registries established with the purpose of monitoring quality of care and providing feedback to improve health outcomes. The aim of this systematic review is to understand the impact of CQRs on (1) mortality/survival; (2) measures of outcome that reflect a process or outcome of healthcare; (3) healthcare utilisation and (4) costs. Methods and analysis: The PRISMA-P methodology, checklist and standard strategy using predefined inclusion and exclusion criteria and structured data abstraction tools will be followed. A search of the electronic databases MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials (CENTRAL) and CINAHL will be undertaken, in addition to Google Scholar and grey literature, to identify studies in English covering the period January 1980 to December 2014. Case-control, cohort, randomised controlled trials and controlled clinical trials which describe the registry as an intervention will be eligible for inclusion. Narrative synthesis of study findings will be conducted, guided by a conceptual framework developed to analyse the outcome measure of the registry using defined criteria. If sufficient studies are identified with a similar outcome of interest and measure using the same comparator and time of interval, results will be pooled for random-effects meta-analysis. Test for heterogeneity and sensitivity analysis will be conducted. To identify reporting bias, forest plots and funnel plots will be created and, if required, Egger's test will be conducted. Ethics and dissemination: Ethical approval is not required as primary data will not be collected. Review results will be published as a part of thesis, peer-reviewed journal and conferences.
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页数:7
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