What question did this study set out to answer?

To determine whether municipality-level median household income predicts survey response rates, educational nonresponse bias, and reported care quality in outpatient patient experience surveys.

January 31, 2020Journal of General Internal MedicineOpen Access

Income Disparities and Nonresponse Bias in Surveys of Patient Experience

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Authors

BRBrian W. RobertsCooper Medical School of Rowan University JYJady YaoCooper Medical School of Rowan University CTChristian J. TrzeciakCooper University Health Care

Discussion

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Overview

Observational study reveals lower response rates and demographic bias in low-income areas, highlighting systematic misrepresentation in outpatient patient experience surveys.

Key Points

To determine whether municipality-level median household income predicts survey response rates, educational nonresponse bias, and reported care quality in outpatient patient experience surveys.
Analyzed 1 month (May 2019) of CG-CAHPS outpatient clinic survey data across 21 municipalities served by an academic health system in New Jersey (N=16,272 sent surveys, 2,081 respondents; 12.8% response rate).
Abstracted median annual household income, race/ethnicity, and education data from US Census Bureau Population Estimates.
Evaluated associations using survey-weighted linear regression, ordered logistic regression for overall patient experience, and logistic regression for timely care access.
Higher median annual household income was significantly associated with higher survey response rates (β = 1.1 per $10,000 increment, 95% CI 0.8 to 1.4, p < 0.001), ranging from 6.3% (168/2,680) in the lowest-income municipality to 17.7% (66/372) in the highest-income municipality.
Lower median income was associated with greater educational nonresponse bias, with survey respondents being disproportionately college-educated relative to Census estimates (β = −0.1, 95% CI −0.2 to −0.03, p < 0.001; 130% relative difference in the lowest-income municipality).
Municipality household income was not significantly associated with overall patient experience (β = −0.004, 95% CI −0.04 to 0.04, p = 0.844) or access to timely care (OR 1.04, 95% CI 0.94 to 1.14, p = 0.463).

Cite This Study

Roberts et al. (2020) studied this question.

synapsesocial.com/papers/6aa9e6df3e26af5d367e5300 https://doi.org/10.1007/s11606-020-05677-6

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January 31, 2020Journal of General Internal MedicineOpen Access

Income Disparities and Nonresponse Bias in Surveys of Patient Experience

View Full Paper

Ask AI

Bookmark

Authors

BRBrian W. RobertsCooper Medical School of Rowan University JYJady YaoCooper Medical School of Rowan University CTChristian J. TrzeciakCooper University Health Care

Discussion

Member takes

Overview

Observational study reveals lower response rates and demographic bias in low-income areas, highlighting systematic misrepresentation in outpatient patient experience surveys.

Key Points

To determine whether municipality-level median household income predicts survey response rates, educational nonresponse bias, and reported care quality in outpatient patient experience surveys.
Analyzed 1 month (May 2019) of CG-CAHPS outpatient clinic survey data across 21 municipalities served by an academic health system in New Jersey (N=16,272 sent surveys, 2,081 respondents; 12.8% response rate).
Abstracted median annual household income, race/ethnicity, and education data from US Census Bureau Population Estimates.
Evaluated associations using survey-weighted linear regression, ordered logistic regression for overall patient experience, and logistic regression for timely care access.
Higher median annual household income was significantly associated with higher survey response rates (β = 1.1 per $10,000 increment, 95% CI 0.8 to 1.4, p < 0.001), ranging from 6.3% (168/2,680) in the lowest-income municipality to 17.7% (66/372) in the highest-income municipality.
Lower median income was associated with greater educational nonresponse bias, with survey respondents being disproportionately college-educated relative to Census estimates (β = −0.1, 95% CI −0.2 to −0.03, p < 0.001; 130% relative difference in the lowest-income municipality).
Municipality household income was not significantly associated with overall patient experience (β = −0.004, 95% CI −0.04 to 0.04, p = 0.844) or access to timely care (OR 1.04, 95% CI 0.94 to 1.14, p = 0.463).

Cite This Study

Roberts et al. (2020) studied this question.

synapsesocial.com/papers/6aa9e6df3e26af5d367e5300 https://doi.org/10.1007/s11606-020-05677-6

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