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Background

This page documents details of standard reports, based on study leave data in NDW, that could be commonly generated for all regions.

Currently East Midlands region use the accent leave manager and generate their own reports based on archived intrepid leave manager data, Accent leave manager from NDW and TIS. This is an Excel based dashboard

South region also generate some reports on an adhoc basis using the NDW.

Challenges to get standard reports for all regions

  1. The way costs are calculated is different in the 2 regions that use accent leave manager

2. Different methods of approval of study leave

3. Only 2 regions currently use this.

4. NHS trusts need to engage in consistent reporting

Working Group

Kavitha.Shankar Who’s involved?

Reporting Requirements

No.

Report Name/Summary

Detailed Description

Report Type - Dynamic
or Static

Priority (L/M/H)

Target Users/ Audience/ Nations

Aggregate/ Row-level data

Columns to be included

Filters/ Sortable by

Comments

1

Expenses associated with Study leave application -  Requested and/or Paid

Total cost of any study leave application with breakdown of

  1. type of cost -Course fee, Travel, Subsistence, Accommodation) need to look at any other type of expenses

  2. Month/Quarter/Year in which monies were requested /paid

  3. Trusts/ sites involved with the study 

  

Dynamic

H

Internal - Local HEE offices, Regions, Finance, Senior management
External - Trusts, Funding bodies

Mostly Aggregate data
Row-level data may be required for Local HEE admin teams for different purposes

 

 

 

2

Spend on protected characteristics

Total cost of study leave applications made wrt protected characteristics

Dynamic

L

Internal - Local HEE offices, Regions, Finance, Senior management
External - Trusts, Funding bodies

Mostly Aggregate data
Row-level data may be required for Local HEE admin teams for different purposes

 

 

 

3

Pending Approvals

For each region / Trust
Number of study leave application that are pending and at which stage ( in the approval chain) are the applications pending
  

Dynamic

M

Internal - Local HEE offices admin team
External - Trusts / Sites which have approvers

Row-level data

 

 

 

4

Length of Approval

Average days for approval of a request per programme / Trust / Region

Dynamic

M

Internal - HEE local office, Finance teams
External Trusts

Aggregate Data

 

 

 

5

Rejected Applications

Number of rejected applications by programme / Region / Specialty etc.
A separate report with numbers are needed to see that all trainees are having equal opportunities for study leave / attending courses
 
  

Dynamic

L

Internal - Local HEE Admin team, Senior management

Aggregate Data. Row level data may be needed to further investigation where required

 

 

 

6

Reasons for rejection of applications

Reasons why study leave applications were rejected. By programme / region / Specialty

Dynamic

L

Internal - Local HEE Admin team, Senior management

Aggregate Data. Row level data may be needed to further investigation where required

 

 

 

7

Approver's list

List of Approvers in the Approval chain - Names / role/ trust. These could be changing as people move from one role/trust to another. This list required maintaining
Each programme / region has a different approval chain and these have to be maintained

  

Dynamic

L

Internal & External

Row-level data

 

 

 

8

Entitlement of Study leave

Number of days a doctor-in-training(DiT) can take study leave. Maintained as some DiT are not full time.
Need to explore if Entitlement has to be fixed in terms of spend too?
Not all regions have a fixed entitlement - needs further investigation

  

Static

L

Internal - Local HEE offices 

Row-level data

 

 

 

9

List of approved courses

List of approved courses for every programme / specialty.
This is required so that courses on these lists can be automatically approved, work load on TPM will be reduced

  

Dynamic

L

Internal - Local HEE Offices
External - Trusts

Row-level data

 

 

Challenge - Trusts do not want trainees to feel restricted to approved list so don’t want to maintain this. A work around could be calling these popular courses

Dataset - List of Fields in NDW Accent.DataRepository

Kavitha.Shankar Could you extract this into a confluence table and an additional column for comments please?

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