Evidence of non-response bias in patient reported outcome measurement information system surveys

PROMIS response rates are influenced by patient demographics, with lower response rates observed in unemployed, non-white, and socioeconomically deprived populations. These findings highlight the need for targeted interventions to increase response rates and ensure equitable data collection in PROMIS surveys to enhancing the generalizability of clinical decisions made using PROMIS data.

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Publication Details

Journal
Interventional Pain Medicine
Published
2025-05-09
DOI
https://doi.org/10.1016/j.inpm.2025.100588
Citations
5
Primary Topic
Patient Satisfaction in Healthcare
Type
article
Field-Weighted Citation Impact
14.08
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article

Evidence of non-response bias in patient reported outcome measurement information system surveys

Ramzi El-Hassan, Andrew R. Stephens, Rajul A. Patel, Nicholas R Bender
5 citations
Interventional Pain Medicine
Patient Satisfaction in Healthcare
14.08
article

Evidence of non-response bias in patient reported outcome measurement information system surveys

Ramzi El-Hassan, Andrew R. Stephens, Rajul A. Patel, Nicholas R Bender
article en
5 citations

Abstract

PROMIS response rates are influenced by patient demographics, with lower response rates observed in unemployed, non-white, and socioeconomically deprived populations. These findings highlight the need for targeted interventions to increase response rates and ensure equitable data collection in PROMIS surveys to enhancing the generalizability of clinical decisions made using PROMIS data.

Interventional Pain MedicineVol. 4(2)
University of Rochester Medical Center (US)
Openalex Percentile: Top 1%
Patient Satisfaction in Healthcare
14.08
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