Record Status This is a bibliographic record of a published health technology assessment from a member of INAHTA. No evaluation of the quality of this assessment has been made for the HTA database. Citation Chambers D, Booth A, Baxter S K, Johnson M, Dickinson K C & Goyder E C. Evidence for models of diagnostic service provision in the community: literature mapping exercise and focused rapid reviews. Health Services and Delivery Research 2016; 4(35) Authors' objectives Current NHS policy favours the expansion of diagnostic testing services in community and primary care settings.
Our objectives were to identify current models of community diagnostic services in the UK and internationally and to assess the evidence for quality, safety and clinical effectiveness of such services. We were also interested in whether or not there is any evidence to support a broader range of diagnostic tests being provided in the community. Authors' conclusions In the absence of clear evidence of superior clinical effectiveness and cost-effectiveness, the expansion of community-based services appears to be driven by other factors. These include policies to encourage moving services out of hospitals; the promise of reduced waiting times for diagnosis; the availability of a wider range of suitable tests and/or cheaper, more user-friendly equipment; and the ability of commercial providers to bid for NHS contracts. However, service development also faces a number of barriers, including issues related to staffing, training, governance and quality control. Indexing Status Subject indexing assigned by CRD MeSH Diagnostic Services; Humans; Publications Language Published English Country of organisation England English summary An English language summary is available. Address for correspondence HS&DR Programme, National Institute for Health Research, Evaluation, Trials and Studies Coordinating Centre, University of Southampton, Alpha House, Enterprise Road, Southampton, SO16 7NS, UK Tel: +44 23 8059 4304
Email: hsdrinfo@southampton.ac.uk AccessionNumber 32017000087 Date abstract record published 10/01/2017 |