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DHSC: OHID: Decision analytic model and cost effectiveness evaluation SMA

DHSC Published 16 Feb 2024 Contracts Finder
The value below is a framework or dynamic market ceiling: the maximum that could be spent across all call-offs, not the value of a single contract. Aggregate figures on this site exclude these to avoid double counting.

key details

Value£250,000
Statuscomplete
Category (CPV) 73110000 +1 more
Deadline8 Nov 2023
Contract start4 Feb 2024
Contract end3 Nov 2024
Procedureselective
SME suitableYes
OCIDocds-b5fd17-81cb812c-4b01-4726-b644-491f281e83a5

Awards (2)

This procurement was awarded to 1 suppliers. Values shown are per-award; the notice total is £250,000.

SupplierValueDateStatus
THE UNIVERSITY OF SHEFFIELD £195,711 8 Feb 2024 active
THE UNIVERSITY OF SHEFFIELD · · active

description

The Department of Health and Social Care has appointed an experienced and knowledgeable contractor for the development of a decision analytic model and cost effectiveness evaluation of the impact of newborn screening for SMA (Spinal Muscular Atrophy). This model will project and compare the health benefits, harms, resource use and costs associated with newborn screening for SMA.

The contract will be for a period of 9 months with the option to extend for a further period or periods of up to 12 months, contingent upon the sole discretion of the Buyer, budget availability, and internal approvals.

Value of the contract £195,711 exclusive of VAT with the possibility to make variation up to the value of £50,000 for the delivery of additional services of same nature of the contract that may include but not be limited to the following: Impact assessment on the model proposed.

Total value of contract including extensions and possible variations: £245,711 exclusive of VAT (£294,854 inclusive of VAT).

Project reference: C215655

Contract reference: C232787

notice history

2 notices published against this procurement.

PublishedTypeRegimeNotice
16 Feb 2024 Contract award notice (F03) Earlier regulations 005235-2024
16 Feb 2024 Award (award) · e6c0999b-d86d-4ccf-b35e-35c7484d9169-724231

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