Tender

Statistical Analysis of Recruitment

HEALTH EDUCATION ENGLAND

This public procurement record has 1 release in its history.

Tender

31 May 2022 at 16:53

Summary of the contracting process

The procurement process is being conducted by Health Education England (HEE) for the contract titled "Statistical Analysis of Recruitment." This project falls under the services category, specifically focusing on analysis services (CPV code 71620000). The procurement is currently at the active tender stage, with submissions closing on 16 June 2022. The total estimated value of the contract is £450,000, and the delivery will occur over a period of three years, initiating after the award period starts on 17 June 2022. The contract is expected to be executed in Leeds, UK, along with a requirement for electronic and written submission of proposals.

This tender presents a significant opportunity for businesses specialising in statistical analysis, data-driven recommendations, and recruitment solutions. Companies that excel in analysing recruitment methods and diversity metrics will be particularly well-suited to compete for this contract. The successful provider will have the chance to establish a long-term relationship with HEE, delivering vital insights into recruitment trends and the effectiveness of traditional versus digital methods, which can enhance their professional reputation and visibility in the healthcare sector.

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Notice Title

Statistical Analysis of Recruitment

Notice Description

HEE are seeking to procure a provider organisation, to conduct a robust and relevant analysis of recruitment data to date and over the course of the next three years.<br/><br/>Core themes:<br/><br/>Within the scope of this work the following themes will need to shape analysis and form the structure of regular reporting:<br/><br/>Digital vs traditional face-to-face methods:<br/><br/>- Fairness of recruitment based on protected characteristics<br/>- Fairness of recruitment based on country of primary qualification <br/>- How do face-to-face and digital methods compare in their effectiveness of identifying the most suitable applicants that will continue to be successful in the training programme they have been appointed to?<br/>- How has applicant behaviour changed?<br/>- Are applicants applying for training programmes coming through traditional training routes - how has the dynamics changed. For example, are Foundation trainees progressing straight into core training

Lot Information

Lot 1

HEE are seeking to procure a provider organisation, to conduct a robust and relevant analysis of recruitment data to date and over the course of the next three years.

Core themes:

Within the scope of this work the following themes will need to shape analysis and form the structure of regular reporting:

Digital vs traditional face-to-face methods:

- Fairness of recruitment based on protected characteristics
- Fairness of recruitment based on country of primary qualification
- How do face-to-face and digital methods compare in their effectiveness of identifying the most suitable applicants that will continue to be successful in the training programme they have been appointed to?
- How has applicant behaviour changed?
- Are applicants applying for training programmes coming through traditional training routes - how has the dynamics changed. For example, are Foundation trainees progressing straight into core training? Are Core Surgical Trainees progressing directly into higher surgical training, or are these posts being awarded by applicants who have applied through a different route?
- Does level of experience have an impact on fairness and suitability of different recruitment methods (i.e. is digital recruitment fairer in R2 or R1)
- Does one type of recruitment (i.e Digital vs Traditional) work better for certain staff groups over others. I.e. Is digital recruitment more effective in Dental recruitment vs Pharmacy recruitment

HEE are looking to commission an external supplier to conduct statistical analysis of recruitment data with the vision that detailed information associated with key areas of recruitment can be derived from all accessible historic, current and future data.
The successful provider will deliver a number of key reports and supporting infographics with in-depth information across the following areas, across the three-year period:
1. Assessment of the reliability and validity of the selection methods and tools used by the various specialities.

2. Evaluation of recruitment outcomes against widening participation and equality and diversity policies. For example, identifying if there is any discrimination or bias around any protected characteristics (e.g. gender, ethnicity, nationality).

3. Evaluation of outcomes between historical methods of assessment and Covid-19 contingency recruitment methods.
.
4. Reviewing the success of UK trainees, and career progression and continuity, in the selection process. For example, foundation trainees to core training or core trainees to higher training.

5. The predictive validity of assessments for future training progression.

It is expected that detailed reports for the themes outlined above will be provided for each of the recruitment rounds listed below for each year of the contract.

- Medical Round 1
- Medical Round 2
- Medical Round 3
- Dental Round 1
- Foundation Pharmacy
- Healthcare Science

The successful provider will also be expected to provide in depth analysis of key themes across data supplied for all years of the project, as well as historic data. For example, a comparison between year 1 'data' and year 2 'data' for the 'evaluation of recruitment outcomes against widening participation and equality and diversity policies.'

Analysis should also be conducted to identify trends between different rounds within the same recruitment years as well as identifying any similarities between the different staff groups. Additional information: Documents can be found at
http://health.atamis.co.uk

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-034254
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/015278-2022
Current Stage
Tender
All Stages
Tender

Procurement Classification

Notice Type
Tender Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Open
Procurement Method Details
Open procedure
Tender Suitability
Not specified
Awardee Scale
Not specified

Common Procurement Vocabulary (CPV)

CPV Divisions

71 - Architectural, construction, engineering and inspection services


CPV Codes

71620000 - Analysis services

Notice Value(s)

Tender Value
£450,000 £100K-£500K
Lots Value
£450,000 £100K-£500K
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
31 May 20223 years ago
Submission Deadline
16 Jun 2022Expired
Future Notice Date
Not specified
Award Date
Not specified
Contract Period
Not specified - Not specified
Recurrence
Not specified

Notice Status

Tender Status
Active
Lots Status
Active
Awards Status
Not Specified
Contracts Status
Not Specified

Contracting Authority (Buyer)

Main Buyer
HEALTH EDUCATION ENGLAND
Contact Name
Phil Scott
Contact Email
philip.scott@hee.nhs.uk
Contact Phone
Not specified

Buyer Location

Locality
LEEDS
Postcode
LS1 4PL
Post Town
Leeds
Country
England

Major Region (ITL 1)
TLE Yorkshire and The Humber
Basic Region (ITL 2)
TLE4 West Yorkshire
Small Region (ITL 3)
TLE42 Leeds
Delivery Location
TLE42 Leeds

Local Authority
Leeds
Electoral Ward
Little London & Woodhouse
Westminster Constituency
Leeds Central and Headingley

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.

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