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Ophthalmology Provider Ratings and Patient, Disease, and Appointment Factors

The purpose of the current study is to examine how nonmodifiable sociodemographic, disease, appointment, management, and survey factors correlate with provider rating. This was a retrospective cross-sectional study conducted on 29 857 patient Clinician and Group Consumer Assessment of Healthcare Pro...

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Autores principales: Han, Michael M., Hsueh, Jessica, Chen, Andrew X., Greenlee, Tyler E., Conti, Thais F., Rose, Susannah L., Singh, Rishi P., Rachitskaya, Aleksandra V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358496/
https://www.ncbi.nlm.nih.gov/pubmed/34395846
http://dx.doi.org/10.1177/23743735211033750
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author Han, Michael M.
Hsueh, Jessica
Chen, Andrew X.
Greenlee, Tyler E.
Conti, Thais F.
Rose, Susannah L.
Singh, Rishi P.
Rachitskaya, Aleksandra V.
author_facet Han, Michael M.
Hsueh, Jessica
Chen, Andrew X.
Greenlee, Tyler E.
Conti, Thais F.
Rose, Susannah L.
Singh, Rishi P.
Rachitskaya, Aleksandra V.
author_sort Han, Michael M.
collection PubMed
description The purpose of the current study is to examine how nonmodifiable sociodemographic, disease, appointment, management, and survey factors correlate with provider rating. This was a retrospective cross-sectional study conducted on 29 857 patient Clinician and Group Consumer Assessment of Healthcare Providers and Systems surveys collected from January 2017 to January 2019 at a tertiary eye center. We included surveys of patients aged 18 years or older, who answered at least 4 of 6 subfield questions, and completed the survey within 90 days of the appointment. The main outcome was the odds of receiving top box score (TBS) of 10/10 on the survey question regarding overall provider rating. The results showed that the variables with higher odds of TBS included higher overall appointment attendance (odds ratio [OR]: 2.66 [95% CI: 1.23-5.75], P = .013); older patient age (OR 2.44 [95% CI: 2.08-2.87], P < .001]; higher percentage of survey questions completed (OR: 2.02 [95% CI: 1.79-2.27], P < .001); better best corrected visual acuity (OR: 1.85 [95% CI: 1.3-2.64], P = .001); optometry clinic visit (OR: 1.25 [95% CI: 1.15-1.36], P < .001); having procedures (OR: 1.19 [95% CI: 1.04-1.36], P = .013), surgery scheduled (OR: 1.18 [95% CI: 1.03-1.36], P = .020], or refraction done (OR: 1.16 [95% CI: 1.08-1.25], P < .001); being seen by male providers (OR: 1.11 [95% CI: 1.04-1.17], P = .001); and having additional eye testing performed (OR: 1.06 [95% CI: 1.00-1.13], P = .048). Variables associated with lower odds of TBS included longer time to complete survey (OR: 0.42 [95% CI: 0.3-0.58], P = .001); new patient encounter (OR: 0.62 [95% CI: 0.58-0.65], P < .001); and glaucoma (OR: 0.66 [95% CI: 0.59-0.75], P < .001), cornea (OR: 0.79 [95% CI: 0.71-0.87], P < .001), or comprehensive clinic visits (OR: 0.86 [95% CI: 0.79-0.94], P < .001). Thus, nonmodifiable factors may affect the provider rating, and these factors should be studied further and accounted for when interpreting the results of patient experience surveys.
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spelling pubmed-83584962021-08-13 Ophthalmology Provider Ratings and Patient, Disease, and Appointment Factors Han, Michael M. Hsueh, Jessica Chen, Andrew X. Greenlee, Tyler E. Conti, Thais F. Rose, Susannah L. Singh, Rishi P. Rachitskaya, Aleksandra V. J Patient Exp Research Article The purpose of the current study is to examine how nonmodifiable sociodemographic, disease, appointment, management, and survey factors correlate with provider rating. This was a retrospective cross-sectional study conducted on 29 857 patient Clinician and Group Consumer Assessment of Healthcare Providers and Systems surveys collected from January 2017 to January 2019 at a tertiary eye center. We included surveys of patients aged 18 years or older, who answered at least 4 of 6 subfield questions, and completed the survey within 90 days of the appointment. The main outcome was the odds of receiving top box score (TBS) of 10/10 on the survey question regarding overall provider rating. The results showed that the variables with higher odds of TBS included higher overall appointment attendance (odds ratio [OR]: 2.66 [95% CI: 1.23-5.75], P = .013); older patient age (OR 2.44 [95% CI: 2.08-2.87], P < .001]; higher percentage of survey questions completed (OR: 2.02 [95% CI: 1.79-2.27], P < .001); better best corrected visual acuity (OR: 1.85 [95% CI: 1.3-2.64], P = .001); optometry clinic visit (OR: 1.25 [95% CI: 1.15-1.36], P < .001); having procedures (OR: 1.19 [95% CI: 1.04-1.36], P = .013), surgery scheduled (OR: 1.18 [95% CI: 1.03-1.36], P = .020], or refraction done (OR: 1.16 [95% CI: 1.08-1.25], P < .001); being seen by male providers (OR: 1.11 [95% CI: 1.04-1.17], P = .001); and having additional eye testing performed (OR: 1.06 [95% CI: 1.00-1.13], P = .048). Variables associated with lower odds of TBS included longer time to complete survey (OR: 0.42 [95% CI: 0.3-0.58], P = .001); new patient encounter (OR: 0.62 [95% CI: 0.58-0.65], P < .001); and glaucoma (OR: 0.66 [95% CI: 0.59-0.75], P < .001), cornea (OR: 0.79 [95% CI: 0.71-0.87], P < .001), or comprehensive clinic visits (OR: 0.86 [95% CI: 0.79-0.94], P < .001). Thus, nonmodifiable factors may affect the provider rating, and these factors should be studied further and accounted for when interpreting the results of patient experience surveys. SAGE Publications 2021-08-09 /pmc/articles/PMC8358496/ /pubmed/34395846 http://dx.doi.org/10.1177/23743735211033750 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Research Article
Han, Michael M.
Hsueh, Jessica
Chen, Andrew X.
Greenlee, Tyler E.
Conti, Thais F.
Rose, Susannah L.
Singh, Rishi P.
Rachitskaya, Aleksandra V.
Ophthalmology Provider Ratings and Patient, Disease, and Appointment Factors
title Ophthalmology Provider Ratings and Patient, Disease, and Appointment Factors
title_full Ophthalmology Provider Ratings and Patient, Disease, and Appointment Factors
title_fullStr Ophthalmology Provider Ratings and Patient, Disease, and Appointment Factors
title_full_unstemmed Ophthalmology Provider Ratings and Patient, Disease, and Appointment Factors
title_short Ophthalmology Provider Ratings and Patient, Disease, and Appointment Factors
title_sort ophthalmology provider ratings and patient, disease, and appointment factors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358496/
https://www.ncbi.nlm.nih.gov/pubmed/34395846
http://dx.doi.org/10.1177/23743735211033750
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