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Estimating Site Performance (ESP): can trial managers predict recruitment success at trial sites? An exploratory study.
Bruhn, Hanne; Treweek, Shaun; Duncan, Anne; Shearer, Kirsty; Cameron, Sarah; Campbell, Karen; Innes, Karen; McRae, Dawn; Cotton, Seonaidh C.
Afiliación
  • Bruhn H; Health Services Research Unit, University of Aberdeen, Health Sciences Building, Foresterhill, Aberdeen, UK. hanne.bruhn@abdn.ac.uk.
  • Treweek S; Health Services Research Unit, University of Aberdeen, Health Sciences Building, Foresterhill, Aberdeen, UK.
  • Duncan A; CHaRT, University of Aberdeen, Health Sciences Building, Foresterhill, Aberdeen, UK.
  • Shearer K; NHS Grampian, Aberdeen Royal Infirmary, Foresterhill, Aberdeen, UK.
  • Cameron S; CHaRT, University of Aberdeen, Health Sciences Building, Foresterhill, Aberdeen, UK.
  • Campbell K; CHaRT, University of Aberdeen, Health Sciences Building, Foresterhill, Aberdeen, UK.
  • Innes K; CHaRT, University of Aberdeen, Health Sciences Building, Foresterhill, Aberdeen, UK.
  • McRae D; CHaRT, University of Aberdeen, Health Sciences Building, Foresterhill, Aberdeen, UK.
  • Cotton SC; CHaRT, University of Aberdeen, Health Sciences Building, Foresterhill, Aberdeen, UK.
Trials ; 20(1): 192, 2019 Apr 03.
Article en En | MEDLINE | ID: mdl-30944022
BACKGROUND: Multicentre randomised trials provide some of the key evidence underpinning healthcare practice around the world. They are also hard work and generally expensive. Some of this work and expense are devoted to sites that fail to recruit as many participants as expected. Methods to identify sites that will recruit to target would be helpful. METHODS: We asked trial managers at the Centre for Healthcare Randomised Trials (CHaRT), University of Aberdeen to predict whether a site would recruit to target. Predictions were made after a site initiation visit and were collected on a form comprising a simple 'Yes/No' prediction and a reason for the prediction. We did not provide guidance as to what trial managers might want to think about when making predictions. After a minimum of eight months of recruitment at each site for which a prediction had been made, all trial mangers in CHaRT were invited to a group discussion where predictions were presented together with sites' actual recruitment performance over that period. Individual trial managers reflected on their predictions and there was a general discussion about predicting site recruitment. The prediction reasons from the forms and the content of the group discussion were used to identify features linked to correct predictions of recruitment failure. RESULTS: Ten trial managers made predictions for 56 site visits recruiting to eight trials. Trial managers' sensitivity was 82% and their specificity was 32%, correctly identifying 65% of sites that would hit their recruitment target and 54% of those that did not. Eight 'red flags' for recruitment failure were identified: previous poor site performance; slow approvals process; strong staff/patient preferences; the site recruitment target; the trial protocol and its implementation at the site; lack of staff engagement; lack of research experience among site staff; and busy site staff. We used these red flags to develop a guided prediction form. CONCLUSIONS: Trial managers' unguided recruitment predictions were not bad but were not good enough for decision-making. We have developed a modified prediction form that includes eight flags to consider before making a prediction. We encourage anyone interested in contributing to its evaluation to contact us.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Investigadores / Ensayos Clínicos Controlados Aleatorios como Asunto / Estudios Multicéntricos como Asunto / Técnicas de Apoyo para la Decisión / Selección de Paciente Tipo de estudio: Clinical_trials / Guideline / Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: Trials Asunto de la revista: MEDICINA / TERAPEUTICA Año: 2019 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Investigadores / Ensayos Clínicos Controlados Aleatorios como Asunto / Estudios Multicéntricos como Asunto / Técnicas de Apoyo para la Decisión / Selección de Paciente Tipo de estudio: Clinical_trials / Guideline / Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: Trials Asunto de la revista: MEDICINA / TERAPEUTICA Año: 2019 Tipo del documento: Article