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Automated recruitment and randomisation for an efficient randomised controlled trial in primary care.
Cornelius, Victoria R; McDermott, Lisa; Forster, Alice S; Ashworth, Mark; Wright, Alison J; Gulliford, Martin C.
Afiliação
  • Cornelius VR; Department of Primary Care and Public Health Sciences, King's College, London, UK. v.cornelius@imperial.ac.uk.
  • McDermott L; Imperial Clinical Trials Unit, Imperial College London, 68 Wood Lane, London, W12 7RH, UK. v.cornelius@imperial.ac.uk.
  • Forster AS; Department of Primary Care and Public Health Sciences, King's College, London, UK.
  • Ashworth M; Department of Primary Care and Public Health Sciences, King's College, London, UK.
  • Wright AJ; Department of Behavioural Science and Health, University College, London, UK.
  • Gulliford MC; Department of Primary Care and Public Health Sciences, King's College, London, UK.
Trials ; 19(1): 341, 2018 Jun 27.
Article em En | MEDLINE | ID: mdl-29945656
ABSTRACT
BACKGROUND/

AIMS:

Use of electronic health records and information technology to deliver more efficient clinical trials is attracting the attention of research funders and researchers. We report on methodological issues and data quality for a comparison of 'automated' and manual (or 'in-practice') methods for recruitment and randomisation in a large randomised controlled trial, with individual patient allocation in primary care.

METHODS:

We conducted a three-arm randomised controlled trial in primary care to evaluate interventions to improve the uptake of invited NHS health checks for cardiovascular risk assessment. Eligible participants were identified using a borough-wide health check management information system. An in-practice recruitment and randomisation method used at 12 general practices required the research team to complete monthly visits to each general practice. For the fully automated method, employed for six general practices, randomisation of eligible participants was performed automatically and remotely using a bespoke algorithm embedded in the health check management information system.

RESULTS:

There were 8588 and 4093 participants recruited for the manual and automated methods, respectively. The in-practice method was ready for implementation 3 months sooner than the automated method and the in-practice method allowed for full control and documentation of the randomisation procedure. However the in-practice approach was labour intensive and the requirement for participant records to be stored locally resulted in the loss of data for 10 practice months. No records for participants allocated using the automated method were lost. A fixed-effects meta-analysis showed that effect estimates for the primary outcome were consistent for the two allocation methods.

CONCLUSIONS:

This trial demonstrated the feasibility of automated recruitment and randomisation methods into a randomised controlled trial performed in primary care. Future research should explore the application of these techniques in other clinical contexts and health care settings. TRIAL REGISTRATION Current Controlled Trials, ID ISRCTN42856343 . Registered on 21 March 2013.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Atenção Primária à Saúde / Seleção de Pacientes / Acidente Vascular Cerebral / Diabetes Mellitus / Insuficiência Renal Crônica / Registros Eletrônicos de Saúde / Mineração de Dados / Cardiopatias Tipo de estudo: Clinical_trials / Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Trials Assunto da revista: MEDICINA / TERAPEUTICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Atenção Primária à Saúde / Seleção de Pacientes / Acidente Vascular Cerebral / Diabetes Mellitus / Insuficiência Renal Crônica / Registros Eletrônicos de Saúde / Mineração de Dados / Cardiopatias Tipo de estudo: Clinical_trials / Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Trials Assunto da revista: MEDICINA / TERAPEUTICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Reino Unido