Form 1 ED PQI Feedback Survey

Generic Clearance for the Collection of Qualitative Feedback on Agency Service Delivery

ED PQI Feedback Survey

ED PQI Feedback Survey

OMB: 0935-0179

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AHRQ Quality IndicatorsShape1

Emergency Department Prevention Quality Indicators (ED PQI) Beta Software, v2023 User Feedback

Introduction

Version 2023 of AHRQ’s Quality Indicators (QI) includes the beta release of a new module: The Emergency Department Prevention Quality Indicators (ED PQI).

The ED PQI include 5 measures:

  • PQE 01 Emergency Department (ED) Visits for non-Traumatic Dental Conditions

  • PQE 02 ED Visits for Chronic Ambulatory Care Sensitive Conditions

  • PQE 03 ED Visits for Acute Ambulatory Care Sensitive Conditions

  • PQE 04 ED Visits for Asthma

  • PQE 05 ED Visits for Back Pain

These QIs are area-level measures, like those included in the Prevention Quality Indicator (PQI) and Pediatric Quality Indicator (PDI) modules. While the measures in the PQI and PDI modules are rates of inpatient discharges, the PQEs are rates of ED visits.

AHRQ is seeking feedback on the new ED PQI module and invites users to beta test the software and provide their input.

Beta Testing Components

AHRQ requests two components be considered when beta testing.

  1. ED PQI Version 2023 Software and associated software instructions.

  2. ED PQI Version 2023 Technical Specifications

User feedback guidelines for each of these two components is provided in the Software and Software Instructions Feedback and Technical Specifications Feedback sections below. An additional section, Overall Feedback, is also included. AHRQ encourages users to submit comments via the technical support e-mail address for the AHRQ Quality Indicators: QISupport@ahrq.hhs.gov.

Overall Feedback


Please select the response that best rates your opinion.


  1. The ED PQI measures are easy to use.


Not at all easy………………………………………………Very easy

1 2 3 4 5


  1. The ED PQI measures are useful.



Not at all useful………………………………………………Very useful

1 2 3 4 5


  1. How likely are you to recommend the ED PQI measures to colleagues?



Not very likely ………………………………………………Very likely

1 2 3 4 5



Software and Software Instructions Feedback

  1. Which version of ED PQI software did you use?

    • SAS QI

    • Cloud QI

    • Other

    • Not applicable

  2. What data did you use to test ED PQI software?

    • Own data

    • HCUP data

    • Other

    • Not applicable

  3. Did you use the software instructions?

    • Yes

    • No

    • Other

    • Not applicable

  4. Please share any comments on the software instructions.





  1. Did you use the instructions for data preparation?

    • Yes

    • No

    • Other

    • Not applicable

  2. Please share any comments on data preparation instructions.





  1. Did you have any problems preparing your data?

    • Yes

    • No

    • Other

    • Not applicable

  2. Please describe any problems you may have had preparing the data.





  1. Please describe any problems in calculating any of the measures.






  1. Please describe any additional analytic capabilities you would like to see in the software (For example, additional geographic breakdowns, stratification by race, other stratifications, etc.).






Technical Feedback




PQE 01 Dental

PQE 02 Chronic ACSC

PQE 03 Acute ACSC

PQE 04 Asthma

PQE 05 Back Pain

  1. a. Do technical specifications contain information needed to understand the indicator?

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

b. Comments:








  1. a. Do technical specifications contain information needed to understand the indicator?

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

b. Comments:








  1. a. Do specifications appear to omit relevant conditions or diagnoses?

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

b. Specify which:








  1. a. Do specifications appear to include inconsistent or extraneous conditions or diagnoses

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

b. Specify which:








  1. a. Does the indicator help identify clinically relevant cases for review as currently specified

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

b. Comments:








  1. a. Does this indicator provide you with information that is useful for quality improvement?

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

b. Comments:








  1. a. Are the indicator names and labels (including the abbreviation PQE) clear in conveying the measures’ intent

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

 Yes

 No

 Other

b. Comments:











September 2023 1


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