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Updated: Jan 26, 2026

Interventional Diagnostic Procedure: A Practical Guide for the Assessment of Coronary Vascular Function
Published on: March 15, 2022
Using patient-reported outcome measures for primary percutaneous coronary intervention
Esther Kwong1, Jenny Neuburger1, Steffen Erhard Petersen2,3
1Department of Health Services Research and Policy, Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.
Patient-reported outcome measures (PROMs) are feasible for assessing myocardial infarction recovery. While quality of life improved, physical limitations persisted 3 months post-STEMI, indicating potential response bias.
Area of Science:
- Cardiology
- Health Outcomes Research
- Patient-Reported Outcomes
Background:
- Routine outcome assessment post-myocardial infarction often overlooks long-term patient experiences.
- Patient-reported outcome measures (PROMs) offer a valuable perspective on recovery beyond immediate clinical endpoints.
Purpose of the Study:
- To evaluate the feasibility of using PROMs 3 months after ST-segment-elevation myocardial infarction (STEMI).
- To identify potential response biases in PROM data collection.
- To compare patient outcomes with their recalled baseline health status.
Main Methods:
- A retrospective questionnaire including EQ-5D-3L and Seattle Angina Questionnaire (SAQ-7) was administered to STEMI patients.
- Response rates and potential biases were assessed for a 3-month follow-up.
- Paired t-tests and chi-squared tests were used to compare outcomes with baseline data.
Main Results:
- A 66.3% response rate was achieved for the 3-month follow-up.
- Responders generally reported better baseline health, suggesting potential bias.
- While angina symptoms and quality of life improved, physical limitations worsened compared to baseline.
Conclusions:
- Routine PROM use is feasible for assessing STEMI impact.
- Further research with larger, multi-center studies is needed to confirm findings and address response bias.
- Interpreting PROM data requires careful consideration of potential biases related to patient general health at baseline.
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