How to Measure Quality of Care in Family Practice Using Administrative Data Alan Katz, Ruth-Ann...

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How to Measure Quality of Care in Family Practice Using Administrative Data Alan Katz, Ruth-Ann Soodeen, Bogdan Bogdanovic, Carolyn De Coster, and Dan Chateau MANITOBA CENTRE FOR HEALTH POLICY Winnipeg, Manitoba, Canada

Transcript of How to Measure Quality of Care in Family Practice Using Administrative Data Alan Katz, Ruth-Ann...

Page 1: How to Measure Quality of Care in Family Practice Using Administrative Data Alan Katz, Ruth-Ann Soodeen, Bogdan Bogdanovic, Carolyn De Coster, and Dan.

How to Measure Quality of Care in Family Practice Using

Administrative Data

Alan Katz, Ruth-Ann Soodeen, Bogdan Bogdanovic, Carolyn De Coster, and Dan Chateau

MANITOBA CENTRE FOR HEALTH POLICY

Winnipeg, Manitoba, Canada

Page 2: How to Measure Quality of Care in Family Practice Using Administrative Data Alan Katz, Ruth-Ann Soodeen, Bogdan Bogdanovic, Carolyn De Coster, and Dan.

Background

Primary care is the foundation of the Canadian health care system

A strong Primary Health Care (PHC) system results in a healthier population1,2 and may affect population health more than specialized services3,4

Page 3: How to Measure Quality of Care in Family Practice Using Administrative Data Alan Katz, Ruth-Ann Soodeen, Bogdan Bogdanovic, Carolyn De Coster, and Dan.

Quality of Care

“The degree to which health services for individuals and populations increase the likelihood of desired health outcomes and are consistent with current professional knowledge.”5

Page 4: How to Measure Quality of Care in Family Practice Using Administrative Data Alan Katz, Ruth-Ann Soodeen, Bogdan Bogdanovic, Carolyn De Coster, and Dan.

Measuring Quality of Care

Quality may be measured in terms of:

Structures: refers to measuring characteristics that may include personnel, equipment or finances

Processes: look at the actual care given by physicians which encompasses clinical and interpersonal effectiveness

Outcomes: refers to the consequences of the care which may include health status or user satisfaction

Page 5: How to Measure Quality of Care in Family Practice Using Administrative Data Alan Katz, Ruth-Ann Soodeen, Bogdan Bogdanovic, Carolyn De Coster, and Dan.

What is AdministrativeClaims Data?

Data routinely collected for administrative purposes (e.g., keeping track of individuals eligible for certain benefits, paying physicians or hospitals)

Allows longitudinal studies of entire population They have a high degree of reliability and validity

Page 6: How to Measure Quality of Care in Family Practice Using Administrative Data Alan Katz, Ruth-Ann Soodeen, Bogdan Bogdanovic, Carolyn De Coster, and Dan.

Finalizing Indicators

Physician focus group (included 3 groups) with independent review and group discussion

Examine feasibility of measuring indicators

Page 7: How to Measure Quality of Care in Family Practice Using Administrative Data Alan Katz, Ruth-Ann Soodeen, Bogdan Bogdanovic, Carolyn De Coster, and Dan.

Indicator Example

Childhood immunization Eligibility: Patients born in 1999 Recommended care: % who received their

primary course of immunization (i.e., DPT-HiB polio x 4, and MMR) by age 24 months

Page 8: How to Measure Quality of Care in Family Practice Using Administrative Data Alan Katz, Ruth-Ann Soodeen, Bogdan Bogdanovic, Carolyn De Coster, and Dan.

Step Two: Define Physician Practices

For each patient: Identify all physicians visited Determine physician providing most care

Each physician practice comprises patients

for whom they provided the most care

Page 9: How to Measure Quality of Care in Family Practice Using Administrative Data Alan Katz, Ruth-Ann Soodeen, Bogdan Bogdanovic, Carolyn De Coster, and Dan.

Step Three: Measure Indicators

For each physician:

Identify eligible patients as per indicator definition (excluding physicians with too few eligible patients)

Calculate number of patients receiving recommended care

Page 10: How to Measure Quality of Care in Family Practice Using Administrative Data Alan Katz, Ruth-Ann Soodeen, Bogdan Bogdanovic, Carolyn De Coster, and Dan.

Preventive Care

0

10

20

30

40

50

60

70

0-24 25-49 50-74 75+

Child Immunization

Influenza Vaccination

Cervical Screening

% P

hys

icia

ns

% Patients with recommended care

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Chronic Disease Management

0

10

20

30

40

50

60

70

80

0-24 25-49 50-75 75+

Antidepressant

Asthma

Diabetes

Post-MI care

% P

hys

icia

ns

% Patients with recommended care

Page 12: How to Measure Quality of Care in Family Practice Using Administrative Data Alan Katz, Ruth-Ann Soodeen, Bogdan Bogdanovic, Carolyn De Coster, and Dan.

Prescription(s) for Benzodiazepines

0

10

20

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70

80

90

100

0-24 25-49 50-74 75+

% P

hys

icia

ns

% Patients with potentially inappropriate prescriptions for benzodiazepines

Page 13: How to Measure Quality of Care in Family Practice Using Administrative Data Alan Katz, Ruth-Ann Soodeen, Bogdan Bogdanovic, Carolyn De Coster, and Dan.

Using Quality Indicators: Considerations

1. Focus solely on measurable components of care

2. Data availability across regions

3. Completeness of data

Page 14: How to Measure Quality of Care in Family Practice Using Administrative Data Alan Katz, Ruth-Ann Soodeen, Bogdan Bogdanovic, Carolyn De Coster, and Dan.

Implications

This work provides the potential for: Physicians to actively engage in the quality

improvement process, and to consider aspects of their own practice

Policy-makers to encourage family physicians to retain hospital privileges (important for preventive care) and to create a culture of support for quality improvement

Trainers/Educators to focus educational initiatives on areas identified as needing improved quality of care

Page 15: How to Measure Quality of Care in Family Practice Using Administrative Data Alan Katz, Ruth-Ann Soodeen, Bogdan Bogdanovic, Carolyn De Coster, and Dan.

Acknowledgments

The research presented in this lecture was supported as part of the project “Using Administrative Data to Develop Indicators of Quality in Family Practice,” under contract to Manitoba Health (Manitoba Health Project No. 2002/2003-17).

The authors thank Michelle Albl, Beth Edwards, and Stephanie Smith for their help in putting this lecture together.