My Example Report

My Example Report

Report reference: EG.001

Report creation date-time: 03/03/2024, 19:21 PM

Data cutoff date-time: 30/09/2022, 23:59 PM

Logo

Notes:

A key explaining how to read the icons for Variation, Assurance, and Data Quality is at the bottom of this document.

Domain 1

# 1 - Attendances

Updated to

26-Jul-2020

Target

-

Set by

-

Actual

222

This is a comment about the attendances metric, which has been re-based as a demonstration. This text is added via ‘report_config.xlsx’

Attendances plot

Rebase comments: Rebased to demonstrate the method. Add the rebase_dates and rebase_comment to ‘measure_config.xlsx’.

Data Owner: Central Information Team

# 5 - Capacity

Updated to

26-Jul-2020

Target

≤ 69.7%

Set by

NHSE

Actual

73%

Capacity plot

Accountable Person: Hannah Harvey (Service GM)

Reviewed at: Service performance meeting

Escalated (if needed) to: Divisional perfomance meeting

Data Owner: Divisional Information Team

# 10 - Answers per day

Updated to

26-Jul-2020

Target

≥ 0.71

Set by

Trust

Actual

0.46

Answers per day plot

Accountable Person: Hannah Harvey (Service GM)

Data Owner: Divisional Information Team

Area 2

# 11 - Widgets

Updated to

31-Aug-2022

Target

-

Set by

Trust

Actual

0.38

Widgets plot

Accountable Person: Tony Smith (Divisional Governance)

Data Owner: Divisional Information Team

# 16 - % Test passes

Updated to

26-Jul-2020

Target

≥ 90%

Set by

Division

Actual

47%

% Test passes plot

Accountable Person: Sally Fenwick (Divisional HR)

Data Owner: Corporate HR

Zone 3

# 43 - Miles of smiles

Updated to

26-Jul-2020

Target

≥ 0.49

Set by

Trust

Actual

0.63

Recent points demonstrate special-cause improvement. Congratulations and carry on!

Miles of smiles plot

Accountable Person: Hannah Harvey (Service GM)

Data Owner: Central Information Team

# 1 - Attendances

Updated to

31-Aug-2022

Target

-

Set by

-

Actual

97

Attendances plot

Rebase comments: Rebased to demonstrate the method. Add the rebase_dates and rebase_comment to ‘measure_config.xlsx’.

Data Owner: Central Information Team

Room 101

# 99 - Problems

Updated to

31-Aug-2022

Target

0

Set by

Trust

Actual

1

Problems plot

Data Owner: Central Information Team

# 99 - Problems (time-between)

Updated to

30-Sep-2022

Target

-

Set by

Trust

Actual

0d

Problems (time-between) plot

Data Owner: Central Information Team

# 101 - No more problems (time-between)

Updated to

30-Sep-2022

Target

-

Set by

Division

Actual

272d

No more problems (time-between) plot

Data Owner: Central Information Team

How to read the icons used in this document

SPC Variation Icons

Used to summarise the type of variation seen in the most recent data point of a given measure.

Icons Variation Type
SC_HI_CON icon SC_LO_CON icon The most recent data point exhibits special cause variation (in a concerning direction). H is high, L is low.
SC_HI_IMP icon SC_LO_IMP icon The most recent data point exhibits special cause variation (in an improving direction). H is high, L is low.
SC_HI_NEUTRAL icon SC_LO_NEUTRAL icon The most recent data point exhibits special cause variation, but neither direction represents concern or improvement (ie. the measure is neutral). H is high, L is low.
CC icon The most recent data point exhibits common cause variation (ie. naturally-occurring variation, that is not statistically significant).

SPC Assurance Icons

Used to summarise whether a measure is assured to meet a target.

Icons Assurance Type
PASS_TARG icon The process is assured, and is likely to consistently pass the target set.
RND_TARG icon The process is not assured, and will pass and fail the target based on variation in the process.
FAIL_TARG icon The process is not assured, and is likely to consistently fail to meet the target set.

Data Quality Icons

Used to summarise the data quality status of a given measure, across the four domains detailed below:

Icons Domain Summary Detail
A icon S Sign-off and Validation Is there a named accountable person, who can sign off the data as a true reflection of the activity? Has the data been checked for validity and consistency? Is there exec-level oversight of this process?
B icon T Timely & Complete Is the data available and up to date at the time of the submission or publication? Are all elements of required information present in the designated data source, and no elements need to be changed at a later date?
C icon A Audit & Accuracy Are processes in place for either external or internal audits of the data, and are these regularly scheduled (eg. quarterly, annually)? Are accuracy checks built into the data collection and reporting processes?
D icon R Robust systems & Data-capture Are there robust systems which have been documented according to data dictionary standards for data capture such that it is at a sufficiently granular level?