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Does systematic analysis of patient complaints and compensation cases at hospitals provide useful information to guide quality improvement? Experience from Denmark

BACKGROUND: Patient complaints and compensation cases are analysed individually and do not allow for organisational learning. Systematic information on complaint patterns needs evidence-based measures. The Healthcare Complaints Analysis Tool (HCAT) can systematically code and analyse complaints and...

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Autores principales: Morsø, Lars, Birkeland, Søren Fryd, Walløe, Sisse, Grøn, Peter Sigerseth, Rexbye, Helle, Bogh, Søren Bie Bie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936271/
https://www.ncbi.nlm.nih.gov/pubmed/36796865
http://dx.doi.org/10.1136/bmjoq-2022-002101
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author Morsø, Lars
Birkeland, Søren Fryd
Walløe, Sisse
Grøn, Peter Sigerseth
Rexbye, Helle
Bogh, Søren Bie Bie
author_facet Morsø, Lars
Birkeland, Søren Fryd
Walløe, Sisse
Grøn, Peter Sigerseth
Rexbye, Helle
Bogh, Søren Bie Bie
author_sort Morsø, Lars
collection PubMed
description BACKGROUND: Patient complaints and compensation cases are analysed individually and do not allow for organisational learning. Systematic information on complaint patterns needs evidence-based measures. The Healthcare Complaints Analysis Tool (HCAT) can systematically code and analyse complaints and compensation claims, but whether this information is useful for quality improvement is underexplored. We aim to explore if and how HCAT information is perceived useful to inform healthcare quality gaps. METHODS: To explore the HCAT’s usefulness for quality improvement purposes, we used an iterative process. We accessed all complaints relating to a large university hospital. Trained HCAT raters systematically coded all cases, using the Danish version of HCAT. INTERVENTION: The intervention had four phases: (1) coding of cases, (2) education, (3) selection of HCAT analyses for dissemination, (4) ‘dashboard’ development and delivery of targeted HCAT reports. To study the interventions and phases, we used quantitative and qualitative approaches. The coding patterns were descriptively displayed on department and hospital level. The educational programme was monitored using passing rates, coding reliability checks and rater feedback. Online interviews recorded dissemination feedback. We used a phenomenological approach with thematised quotations from the interviews to analyse the usefulness of the information from cases coded. RESULTS: We coded 5217 complaint cases (11 056 complaint points). The average case coding time was 8.5 min (95% CI 8.2 to 8.7). All four raters passed the online test with >80% correct answers. Using rater feedback, we handled 25 cases of doubt. None affected the HCAT structure or categories. Interviews verified the usefulness of analyses after expert group dissemination. Three themes were important: ‘overview of complaints’, ‘learning from complaints’ and ‘listening to the patients’. Stakeholders perceived the ‘dashboard’ development as highly relevant. CONCLUSION: Through the development process with several adjustments, stakeholders found the systematic approach useful for quality improvement. The hospital management evaluated the approach as promising and decided to test the approach in clinical practice.
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spelling pubmed-99362712023-02-18 Does systematic analysis of patient complaints and compensation cases at hospitals provide useful information to guide quality improvement? Experience from Denmark Morsø, Lars Birkeland, Søren Fryd Walløe, Sisse Grøn, Peter Sigerseth Rexbye, Helle Bogh, Søren Bie Bie BMJ Open Qual Quality Improvement Report BACKGROUND: Patient complaints and compensation cases are analysed individually and do not allow for organisational learning. Systematic information on complaint patterns needs evidence-based measures. The Healthcare Complaints Analysis Tool (HCAT) can systematically code and analyse complaints and compensation claims, but whether this information is useful for quality improvement is underexplored. We aim to explore if and how HCAT information is perceived useful to inform healthcare quality gaps. METHODS: To explore the HCAT’s usefulness for quality improvement purposes, we used an iterative process. We accessed all complaints relating to a large university hospital. Trained HCAT raters systematically coded all cases, using the Danish version of HCAT. INTERVENTION: The intervention had four phases: (1) coding of cases, (2) education, (3) selection of HCAT analyses for dissemination, (4) ‘dashboard’ development and delivery of targeted HCAT reports. To study the interventions and phases, we used quantitative and qualitative approaches. The coding patterns were descriptively displayed on department and hospital level. The educational programme was monitored using passing rates, coding reliability checks and rater feedback. Online interviews recorded dissemination feedback. We used a phenomenological approach with thematised quotations from the interviews to analyse the usefulness of the information from cases coded. RESULTS: We coded 5217 complaint cases (11 056 complaint points). The average case coding time was 8.5 min (95% CI 8.2 to 8.7). All four raters passed the online test with >80% correct answers. Using rater feedback, we handled 25 cases of doubt. None affected the HCAT structure or categories. Interviews verified the usefulness of analyses after expert group dissemination. Three themes were important: ‘overview of complaints’, ‘learning from complaints’ and ‘listening to the patients’. Stakeholders perceived the ‘dashboard’ development as highly relevant. CONCLUSION: Through the development process with several adjustments, stakeholders found the systematic approach useful for quality improvement. The hospital management evaluated the approach as promising and decided to test the approach in clinical practice. BMJ Publishing Group 2023-02-16 /pmc/articles/PMC9936271/ /pubmed/36796865 http://dx.doi.org/10.1136/bmjoq-2022-002101 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/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/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Quality Improvement Report
Morsø, Lars
Birkeland, Søren Fryd
Walløe, Sisse
Grøn, Peter Sigerseth
Rexbye, Helle
Bogh, Søren Bie Bie
Does systematic analysis of patient complaints and compensation cases at hospitals provide useful information to guide quality improvement? Experience from Denmark
title Does systematic analysis of patient complaints and compensation cases at hospitals provide useful information to guide quality improvement? Experience from Denmark
title_full Does systematic analysis of patient complaints and compensation cases at hospitals provide useful information to guide quality improvement? Experience from Denmark
title_fullStr Does systematic analysis of patient complaints and compensation cases at hospitals provide useful information to guide quality improvement? Experience from Denmark
title_full_unstemmed Does systematic analysis of patient complaints and compensation cases at hospitals provide useful information to guide quality improvement? Experience from Denmark
title_short Does systematic analysis of patient complaints and compensation cases at hospitals provide useful information to guide quality improvement? Experience from Denmark
title_sort does systematic analysis of patient complaints and compensation cases at hospitals provide useful information to guide quality improvement? experience from denmark
topic Quality Improvement Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936271/
https://www.ncbi.nlm.nih.gov/pubmed/36796865
http://dx.doi.org/10.1136/bmjoq-2022-002101
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