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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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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 |
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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 |
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