Cargando…

Quantifying patient satisfaction with process metrics using a weighted bundle approach

BACKGROUND: Current patient satisfaction assessment results are delayed and obtained from select patient surveys. As a result, these assessments may not represent the experience of the entire patient population. This study developed a method to measure and evaluate all patients’ experiences while th...

Descripción completa

Detalles Bibliográficos
Autores principales: Riebling, Nancy B, Norouzzadeh, Shaghayegh, Reeder, George, Mouradian, Christina, Hillier, Alison, Cowan, Ryan, Doerfler, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440602/
https://www.ncbi.nlm.nih.gov/pubmed/30997417
http://dx.doi.org/10.1136/bmjoq-2018-000458
_version_ 1783407418108018688
author Riebling, Nancy B
Norouzzadeh, Shaghayegh
Reeder, George
Mouradian, Christina
Hillier, Alison
Cowan, Ryan
Doerfler, Martin
author_facet Riebling, Nancy B
Norouzzadeh, Shaghayegh
Reeder, George
Mouradian, Christina
Hillier, Alison
Cowan, Ryan
Doerfler, Martin
author_sort Riebling, Nancy B
collection PubMed
description BACKGROUND: Current patient satisfaction assessment results are delayed and obtained from select patient surveys. As a result, these assessments may not represent the experience of the entire patient population. This study developed a method to measure and evaluate all patients’ experiences while they are within the care episode and link it to processes within the organisation. METHODS: Using the Six Sigma methodology, sites assembled diverse teams to categorise and analyse negative experience comments from patients to understand the drivers of dissatisfaction. These customer expectations lead to the development of the four components in the Patient Experience Bundle (PEB): communication, environment, basic needs/comfort and logistics. Individual process elements were ranked to create a numerical relationship between service and the needs expressed by the voice of the customer. Sites created surveys incorporating questions that focused on the bundle elements and measured daily bundle compliance. Graphical analysis and hypothesis testing enabled sites to determine key drivers of patient dissatisfaction within the bundle elements. Improvement strategies were developed and implemented to address the key drivers of patient dissatisfaction. RESULTS: After implementing process improvements focused on issues identified by the PEB, bundle compliance improved from an average of 51% to an average of 82.5% and Press Ganey Likelihood to Recommend (PG LTR) scores improved from an average of 64.73% to an average 74.64%. The data demonstrated that the trends in improving PEB are followed by meaningful changes in PG LTR scores. CONCLUSION: This work is built on the identification of common elements of care that impact patient satisfaction and detailed mathematical analysis of the relationship between factors. Using the bundle concept, these improvement efforts maintain highly reliable processes to drive outcomes and provide real-time feedback on patient experience.
format Online
Article
Text
id pubmed-6440602
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-64406022019-04-17 Quantifying patient satisfaction with process metrics using a weighted bundle approach Riebling, Nancy B Norouzzadeh, Shaghayegh Reeder, George Mouradian, Christina Hillier, Alison Cowan, Ryan Doerfler, Martin BMJ Open Qual Original Article BACKGROUND: Current patient satisfaction assessment results are delayed and obtained from select patient surveys. As a result, these assessments may not represent the experience of the entire patient population. This study developed a method to measure and evaluate all patients’ experiences while they are within the care episode and link it to processes within the organisation. METHODS: Using the Six Sigma methodology, sites assembled diverse teams to categorise and analyse negative experience comments from patients to understand the drivers of dissatisfaction. These customer expectations lead to the development of the four components in the Patient Experience Bundle (PEB): communication, environment, basic needs/comfort and logistics. Individual process elements were ranked to create a numerical relationship between service and the needs expressed by the voice of the customer. Sites created surveys incorporating questions that focused on the bundle elements and measured daily bundle compliance. Graphical analysis and hypothesis testing enabled sites to determine key drivers of patient dissatisfaction within the bundle elements. Improvement strategies were developed and implemented to address the key drivers of patient dissatisfaction. RESULTS: After implementing process improvements focused on issues identified by the PEB, bundle compliance improved from an average of 51% to an average of 82.5% and Press Ganey Likelihood to Recommend (PG LTR) scores improved from an average of 64.73% to an average 74.64%. The data demonstrated that the trends in improving PEB are followed by meaningful changes in PG LTR scores. CONCLUSION: This work is built on the identification of common elements of care that impact patient satisfaction and detailed mathematical analysis of the relationship between factors. Using the bundle concept, these improvement efforts maintain highly reliable processes to drive outcomes and provide real-time feedback on patient experience. BMJ Publishing Group 2019-03-09 /pmc/articles/PMC6440602/ /pubmed/30997417 http://dx.doi.org/10.1136/bmjoq-2018-000458 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original Article
Riebling, Nancy B
Norouzzadeh, Shaghayegh
Reeder, George
Mouradian, Christina
Hillier, Alison
Cowan, Ryan
Doerfler, Martin
Quantifying patient satisfaction with process metrics using a weighted bundle approach
title Quantifying patient satisfaction with process metrics using a weighted bundle approach
title_full Quantifying patient satisfaction with process metrics using a weighted bundle approach
title_fullStr Quantifying patient satisfaction with process metrics using a weighted bundle approach
title_full_unstemmed Quantifying patient satisfaction with process metrics using a weighted bundle approach
title_short Quantifying patient satisfaction with process metrics using a weighted bundle approach
title_sort quantifying patient satisfaction with process metrics using a weighted bundle approach
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440602/
https://www.ncbi.nlm.nih.gov/pubmed/30997417
http://dx.doi.org/10.1136/bmjoq-2018-000458
work_keys_str_mv AT rieblingnancyb quantifyingpatientsatisfactionwithprocessmetricsusingaweightedbundleapproach
AT norouzzadehshaghayegh quantifyingpatientsatisfactionwithprocessmetricsusingaweightedbundleapproach
AT reedergeorge quantifyingpatientsatisfactionwithprocessmetricsusingaweightedbundleapproach
AT mouradianchristina quantifyingpatientsatisfactionwithprocessmetricsusingaweightedbundleapproach
AT hillieralison quantifyingpatientsatisfactionwithprocessmetricsusingaweightedbundleapproach
AT cowanryan quantifyingpatientsatisfactionwithprocessmetricsusingaweightedbundleapproach
AT doerflermartin quantifyingpatientsatisfactionwithprocessmetricsusingaweightedbundleapproach