Using HCAHPS data to model correlates of medication understanding at hospital discharge

Rebecca J Bartlett Ellis,1 Karen L Werskey,2 Rachel M Stangland,2 Susan Ofner,1,3 Giorgos Bakoyannis1,3 1Indiana University School of Nursing, Indianapolis, IN, 2Schneck Medical Center, Seymour, IN, 3Department of Biostatistics, School of Medicine, Indiana University, Indianapolis, IN, USA...

Full description

Bibliographic Details
Main Authors: Bartlett Ellis RJ, Werskey KL, Stangland RM, Ofner S, Bakoyannis G
Format: Article
Language:English
Published: Dove Medical Press 2017-02-01
Series:Nursing: Research and Reviews
Subjects:
Online Access:https://www.dovepress.com/using-hcahps-data-to-model-correlates-of-medication-understanding-at-h-peer-reviewed-article-NRR
_version_ 1818855496537341952
author Bartlett Ellis RJ
Werskey KL
Stangland RM
Ofner S
Bakoyannis G
author_facet Bartlett Ellis RJ
Werskey KL
Stangland RM
Ofner S
Bakoyannis G
author_sort Bartlett Ellis RJ
collection DOAJ
description Rebecca J Bartlett Ellis,1 Karen L Werskey,2 Rachel M Stangland,2 Susan Ofner,1,3 Giorgos Bakoyannis1,3 1Indiana University School of Nursing, Indianapolis, IN, 2Schneck Medical Center, Seymour, IN, 3Department of Biostatistics, School of Medicine, Indiana University, Indianapolis, IN, USA Background: Hospitals are challenged to improve hospital transitions to home and are held accountable through public reporting.Design: This cross-sectional study used patients’ self-reported experience data from the publicly reported Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey to describe correlates of medication understanding at hospital discharge, using data collected from adult patients discharged from one Midwestern community hospital (N=154).Results: The final logistic regression model included four correlates of medication understanding: 1) nurse always communicates well, 2) physician always communicates well, 3) new prescriptions during hospital stay, and 4) very good or better mental health, and these classified 72.6% of the cases. Significant correlates of the patient strongly agreeing that they understood discharge medications were the “nurse always communicates well” (odds ratio =3.10, 95% confidence interval: 1.25, 7.66) and “very good or better self-perceived mental health” (odds ratio =2.17, 95% confidence interval: 1.02, 4.64).Conclusion: HCAHPS data can be used to model correlates of medication understanding, which are then useful for evaluating intervention effects following quality improvement. Keywords: medication, nurse communication, provider communication, hospital quality, nurse, nursing, physician, patient experience, patient satisfaction
first_indexed 2024-12-19T08:09:32Z
format Article
id doaj.art-dddcd99fe972474da71df460e81260cc
institution Directory Open Access Journal
issn 2230-522X
language English
last_indexed 2024-12-19T08:09:32Z
publishDate 2017-02-01
publisher Dove Medical Press
record_format Article
series Nursing: Research and Reviews
spelling doaj.art-dddcd99fe972474da71df460e81260cc2022-12-21T20:29:40ZengDove Medical PressNursing: Research and Reviews2230-522X2017-02-01Volume 71731150Using HCAHPS data to model correlates of medication understanding at hospital dischargeBartlett Ellis RJWerskey KLStangland RMOfner SBakoyannis GRebecca J Bartlett Ellis,1 Karen L Werskey,2 Rachel M Stangland,2 Susan Ofner,1,3 Giorgos Bakoyannis1,3 1Indiana University School of Nursing, Indianapolis, IN, 2Schneck Medical Center, Seymour, IN, 3Department of Biostatistics, School of Medicine, Indiana University, Indianapolis, IN, USA Background: Hospitals are challenged to improve hospital transitions to home and are held accountable through public reporting.Design: This cross-sectional study used patients’ self-reported experience data from the publicly reported Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey to describe correlates of medication understanding at hospital discharge, using data collected from adult patients discharged from one Midwestern community hospital (N=154).Results: The final logistic regression model included four correlates of medication understanding: 1) nurse always communicates well, 2) physician always communicates well, 3) new prescriptions during hospital stay, and 4) very good or better mental health, and these classified 72.6% of the cases. Significant correlates of the patient strongly agreeing that they understood discharge medications were the “nurse always communicates well” (odds ratio =3.10, 95% confidence interval: 1.25, 7.66) and “very good or better self-perceived mental health” (odds ratio =2.17, 95% confidence interval: 1.02, 4.64).Conclusion: HCAHPS data can be used to model correlates of medication understanding, which are then useful for evaluating intervention effects following quality improvement. Keywords: medication, nurse communication, provider communication, hospital quality, nurse, nursing, physician, patient experience, patient satisfactionhttps://www.dovepress.com/using-hcahps-data-to-model-correlates-of-medication-understanding-at-h-peer-reviewed-article-NRRmedication communication nurse communication provider communication hopsital quality
spellingShingle Bartlett Ellis RJ
Werskey KL
Stangland RM
Ofner S
Bakoyannis G
Using HCAHPS data to model correlates of medication understanding at hospital discharge
Nursing: Research and Reviews
medication communication nurse communication provider communication hopsital quality
title Using HCAHPS data to model correlates of medication understanding at hospital discharge
title_full Using HCAHPS data to model correlates of medication understanding at hospital discharge
title_fullStr Using HCAHPS data to model correlates of medication understanding at hospital discharge
title_full_unstemmed Using HCAHPS data to model correlates of medication understanding at hospital discharge
title_short Using HCAHPS data to model correlates of medication understanding at hospital discharge
title_sort using hcahps data to model correlates of medication understanding at hospital discharge
topic medication communication nurse communication provider communication hopsital quality
url https://www.dovepress.com/using-hcahps-data-to-model-correlates-of-medication-understanding-at-h-peer-reviewed-article-NRR
work_keys_str_mv AT bartlettellisrj usinghcahpsdatatomodelcorrelatesofmedicationunderstandingathospitaldischarge
AT werskeykl usinghcahpsdatatomodelcorrelatesofmedicationunderstandingathospitaldischarge
AT stanglandrm usinghcahpsdatatomodelcorrelatesofmedicationunderstandingathospitaldischarge
AT ofners usinghcahpsdatatomodelcorrelatesofmedicationunderstandingathospitaldischarge
AT bakoyannisg usinghcahpsdatatomodelcorrelatesofmedicationunderstandingathospitaldischarge