the challenges of developing composite measures - 10am, pop up uni, 2 september 2015

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Masking or un-masking quality of services? The challenges of developing composite measures

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Page 1: The challenges of developing composite measures - 10am, pop up uni, 2 september 2015

Masking or un-masking quality of services?

The challenges of developing composite measures

Page 2: The challenges of developing composite measures - 10am, pop up uni, 2 september 2015

How well services are

performing and meeting our

(patients’) needs?

Page 3: The challenges of developing composite measures - 10am, pop up uni, 2 september 2015

Is the information about services easy to find?

Stroke

Cancer

Cardiac

Dementia

MI

Diabetes

Page 4: The challenges of developing composite measures - 10am, pop up uni, 2 september 2015

What do we know about these services?

Page 6: The challenges of developing composite measures - 10am, pop up uni, 2 september 2015

What are Clinical Services Quality Measures? • An at-a-glance indication of how well services are performing

• Developed as composite measures, i.e. based on multiple data items

• Patients, the general public, service providers, commissioners and

clinicians will all also have access to the underlying, constituent data

items, where appropriate and secure

Page 7: The challenges of developing composite measures - 10am, pop up uni, 2 september 2015

What are the aims of the programme? • Better, more accessible information for patients

• Providing patients and commissioners with further insight into outcomes.

• Driving service improvement and reduction in unwarrented variation

• Allowing NHS staff to see how well their services are performing within the

context of their peers

Page 8: The challenges of developing composite measures - 10am, pop up uni, 2 september 2015

How are we going to develop CSQMs?

Page 9: The challenges of developing composite measures - 10am, pop up uni, 2 september 2015

Are we masking or un-masking

the quality of services such as

cancer, stroke, mental health?

Page 10: The challenges of developing composite measures - 10am, pop up uni, 2 september 2015

• Offers a summary of complex, multi-dimensional issues

• Presents the ‘big picture’ to support decision makers and patients’ choice.

• Facilitates communication with general public

• Easier to interpret than attempting to analyse quickly many separate indicators

• Indicates which service represents beacons of best performance and also services needing improvements

• May stimulate better analytic methods and data quality

• May be dismissed or ignored if the construction process is not transparent, lacking sound conceptual principles.

• It may distort behaviour in undesirable ways; perverse incentives

• May lead to inappropriate decisions should statistical methodology not being robust and consistent or poor data quality.

• The selection of indicators could be a target of political challenge as well as other aspects of the methodology including weighting

Advantages Limitations