National Child Parent Screening Service Evaluation

Award

Value

£39,850

Classifications

  • Evaluation consultancy services
  • Research and development services and related consultancy services

Tags

  • award
  • contract

Published

9 months ago

Description

Funding was received by Health Innovation North East and North Cumbria (HI NENC) in April 2021 to implement and lead on the national Child Parent Screening Programme. This was in order to support the ambition set out in the NHS Long Term Plan to improve the identification of Familial Hypercholesterolaemia (FH) to 25% by 2025.
Previously, HI NENC had embarked on a programme of work to search primary care records for those at risk of FH. Alone this was unlikely to achieve the NHS LTP ambition - the addition of a child-parent screening (CPS) programme was introduced to help increase identification of FH patients and their families.
FH, an autosomal dominant inherited disorder, is a common cause of ischaemic cardiovascular disease in young adult life. There are about 200,000 undiagnosed people with FH in the UK. Identifying affected individuals before the onset of disease is important so diet and lifestyle modifications can be made and medication initiated as appropriate.
As each affected child will have one affected parent, testing children provides a means of identifying and treating both child and parent together in a systematic manner.
This project aims to evaluate the effectiveness of the implementation of the child parent screening service as well as the impact it has had. A mixed methods approach will be used drawing on a variety of techniques.

Documents

Premium

Bypass the hassle of outdated portals. Get all the information you need right here, right now.

  • Contract Agreement

    The official contract terms, conditions, and scopes of work.

    Download
  • Award Notice

    Details on the tender award and selected suppliers.

    Download

Similar Contracts

Open

Research Web Scraping ECI Labour Market

The ECITB wishes to appoint a provider to fulfil its requirement for a research project to develop comprehensive labour market intelligence for the Engineering Construction Industry by using web scraping techniques to analyse job advertisements from online platforms. This project seeks to: • Understand the evolving skills landscape within the ECI sector. • Map the geographical and sectoral distribution of skills demand. • Provide evidence-based insights to support workforce development strategies. The following objectives will guide the research: 1. Identify which vacancy platforms ECI employers use. 2. Develop and implement web scraping algorithms to extract job posting data from Indeed, Glassdoor, LinkedIn and other platforms. 3. Create and enhance an occupational and skills taxonomy for the ECI built upon SOC codes with additional ECI-specific classifications. 4. Analyse the extracted data to identify skills gaps, emerging skills requirements and high-demand occupations across regions and sectors. 5. Quantify occupational shortages and estimate occupational demands across ECI sectors and regions. 6. Produce periodic reports and dashboards to inform ECITB's stakeholders. 7. Look at the educational pathways of the five most in-demand vacancies. Full details of the requirements can be found within the detailed specification. The initial Contract term will be for six (6) months, with an optional extension of three (3) months, commencing late August 2025. The full procurement pack consists of the following documents which are available for download here on Find a Tender Service: 1. Invitation to Tender (ITT) - includes full guidance on the procurement process 2. Specification 3. Pricing Schedule 4. ECITB Services agreement (Contract) ***Tenderers should register their interest in the ITT via [email protected] after download of the documents from Find a Tender Service, to ensure they are included in the clarification process *** We thank you for your interest in the ECITB and this opportunity.

Katy Reed

Published 1 day ago
Open

Research Web Scraping ECI Labour Market

The ECITB wishes to appoint a provider to fulfil its requirement for a research project to develop comprehensive labour market intelligence for the Engineering Construction Industry by using web scraping techniques to analyse job advertisements from online platforms. This project seeks to: • Understand the evolving skills landscape within the ECI sector. • Map the geographical and sectoral distribution of skills demand. • Provide evidence-based insights to support workforce development strategies. The following objectives will guide the research: 1. Identify which vacancy platforms ECI employers use. 2. Develop and implement web scraping algorithms to extract job posting data from Indeed, Glassdoor, LinkedIn and other platforms. 3. Create and enhance an occupational and skills taxonomy for the ECI built upon SOC codes with additional ECI-specific classifications. 4. Analyse the extracted data to identify skills gaps, emerging skills requirements and high-demand occupations across regions and sectors. 5. Quantify occupational shortages and estimate occupational demands across ECI sectors and regions. 6. Produce periodic reports and dashboards to inform ECITB's stakeholders. 7. Look at the educational pathways of the five most in-demand vacancies. Full details of the requirements can be found within the detailed specification. The initial Contract term will be for six (6) months, with an optional extension of three (3) months, commencing late August 2025. The full procurement pack consists of the following documents which are available for download here on Find a Tender Service: 1. Invitation to Tender (ITT) - includes full guidance on the procurement process 2. Specification 3. Pricing Schedule 4. ECITB Services agreement (Contract) ***Tenderers should register their interest in the ITT via [email protected] after download of the documents from Find a Tender Service, to ensure they are included in the clarification process *** We thank you for your interest in the ECITB and this opportunity.

Katy Reed

Published 2 days ago

AI Bid Assistant

Our AI-powered tool to help you create winning bids is coming soon!

View Contract Source Save Contract

Timeline complete

Publish
Bid
Evaluate
Award
Complete