Abstract
Abstract The aim of this study is to evaluate the utilisation of CSRs by Quebec's local health technology assessment (HTA) units to promote efficiency in hospital decision-making. A survey was conducted using a structured online questionnaire to examine: Characteristics of the HTA units; Knowledge about works and services from the Cochrane Collaboration; Level of satisfaction about the use of CSRs; Facilitating factors and barriers to the implementation of CSRs evidence in a local context; Suggestions to improve the use of CSRs. Data accuracy was checked by two independent evaluators (TGP and CAB). Ten HTA units participated. Mean number of staff was 6.3 [2-18], producing about 4.7 reports per year [2-7.3]. From their implementation a total of 321 HTA reports were published (49.8% included a SR). Works and services provided by the Cochrane collaboration were very well known and HTA units were highly satisfied with CSRs (80-100%). However, only 24.7% (21/85) of topics were searched with success. As regards to applicability in HTA and use of CSRs, major strengths were as follow: Useful as resource for search terms and background material; May reduce the workload (e.g. brief review instead of full SR); Use to update a current review. Major weaknesses were: Limited use since no CSRs were available for many HTA projects; Difficulty to apply findings to local context (lack of contextualisation); Focused only on efficacy and innocuity; Cannot be used as a substitute to a full HTA report. This study provided a unique context of assessment with a familiar group of producers, users and disseminators of CSRs in hospital setting. HTA units generally use other articles from the literature or produce an original systematic review in complement with CSRs. These results led to some suggestions to improve the use of CSRs by HTA units. However, the main limit for the use of CRS in local HTA will remain its lack of contextualisation. Key messages The main limit for the use of CRS in local HTA will remain its lack of contextualization. Context and scientific data are complementary.
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