Screening for spinal muscular atrophy (SMA)-Scoping of Work
key details
| Value | £80,922 |
|---|---|
| Status | complete |
| Category (CPV) | 73200000 +2 more |
| Deadline | 5 Sept 2022 |
| Contract start | 19 Oct 2022 |
| Contract end | 18 Oct 2023 |
| Procedure | open |
| SME suitable | Yes |
| OCID | ocds-b5fd17-8715dbfc-201e-48ec-b806-d59f2a1ca182 |
Award
| Supplier | Value | Date | Status |
|---|---|---|---|
| University of Sheffield | £80,922 | 18 Oct 2022 | active |
description
Scoping work for a decision analytic model and cost effectiveness evaluation of newborn screening for SMA.
provision of a rapid review of the literature and for a plan to prepare for a future modelling study with clinical and cost effectiveness outcomes. It is not a screening pilot or an evaluation of one.
The purpose of this work is to prepare for a modelling study by:
- Objective 1: Conducting a review of available decision analytic modelling studies and cost effectiveness evaluations which address new-born screening for SMA in the era of novel treatments
- Objective 2: Developing an evidence map of published studies and evaluations of PCR based screening and treatment in presymptomatic SMA
- Objective 3: Proposing a plan for a modelling study with clinical and cost effectiveness outcomes
Contract term: 12 months with the option to extend for a period or periods of up to further 18 months
documents
- https://www.contractsfinder.service.gov.uk/Notice/ad550b95-b48f-4865-9f59-b80f7bbda5ba , tenderNotice
Documents are linked, not mirrored. They are served by the publishing authority and may require registration.
notice history
5 notices published against this procurement.
| Published | Type | Regime | Notice |
|---|---|---|---|
| 21 Mar 2022 | Prior information notice (F01) | Earlier regulations | 007547-2022 |
| 22 Mar 2022 | Corrigendum (F14) | Earlier regulations | 007649-2022 |
| 1 Aug 2022 | Contract notice (F02) | Earlier regulations | 020900-2022 |
| 1 Aug 2022 | Tender (tender) | · | ad550b95-b48f-4865-9f59-b80f7bbda5ba-559213 |
| 19 Oct 2022 | Award (award) | · | 3d687cff-3ea8-4741-8094-9e95a6dd8628-582003 |
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source
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