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Harnessing patient complaints to systematically monitoring healthcare concerns through disproportionality analysis
Abstract Staff observations are the most common source of data for driving improvements in care. However, the patient perspective should also be considered, and healthcare complaints offer concrete details that health organizations might otherwise overlook and that can highlight areas for learning a...
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Published in: | International journal for quality in health care 2023-09, Vol.35 (3) |
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creator | Bie Bogh, Søren Fryd Birkeland, Søren Maj-Britt Hansen, Sebrina Alexandrovna Tchijevitch, Olga Hallas, Jesper Morsø, Lars |
description | Abstract
Staff observations are the most common source of data for driving improvements in care. However, the patient perspective should also be considered, and healthcare complaints offer concrete details that health organizations might otherwise overlook and that can highlight areas for learning and improvement in the healthcare system. However, because of the diverse nature of patient complaints, systematic analyses can be challenging. This study aimed to identify and prioritize areas for improvement using a data-driven approach to analysing patient complaints. The Danish version of the Healthcare Complaints Analysis Tool was used to categorize the content of complaint letters. All complaints managed by the national complaints authority, compensation claims to the Patient Compensation Association, and locally managed complaints that were filed directly at Odense University Hospital from 2017 to 2021 were included. Proportional reporting ratios (PRRs) were used to measure and display the top five signals of disproportionality and rank them by excess complaints at the hospital level and when divided into department types. The study included 6366 complaints containing 13 156 problems (on average, 2.1 problems mentioned per complaint letter). Surgical departments had the highest number of complaints (3818), followed by medical (1059), service (439), and emergency departments (239). Signal 1 of disproportionality, relating to quality problems during ward procedures, had the highest excess reporting of 1043 complaints at the hospital level and a PRR of 1.61 and was present in all department types. Signal 2, relating to safety problems during the examination and diagnosis stage, had an excess reporting of 699 problems and a PRR of 1.86 and was also present in all department types. Signal 3, relating to institutional problems during admission, had the highest PRR of 3.54 and was found in most department types. Signals 4 and 5, relating to environmental problems during ward procedures and care on the ward, respectively, had PRRs of 1.5 and 1.84 and were present in most department types. The study found that analysing patient complaints can identify potential areas for hospital improvement. The study identified recurring issues in multiple departments, including quality problems during ward procedures, safety problems during the examination, institutional problems during admission, and environmental problems on the ward. The study highlights disproportionality an |
doi_str_mv | 10.1093/intqhc/mzad062 |
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Staff observations are the most common source of data for driving improvements in care. However, the patient perspective should also be considered, and healthcare complaints offer concrete details that health organizations might otherwise overlook and that can highlight areas for learning and improvement in the healthcare system. However, because of the diverse nature of patient complaints, systematic analyses can be challenging. This study aimed to identify and prioritize areas for improvement using a data-driven approach to analysing patient complaints. The Danish version of the Healthcare Complaints Analysis Tool was used to categorize the content of complaint letters. All complaints managed by the national complaints authority, compensation claims to the Patient Compensation Association, and locally managed complaints that were filed directly at Odense University Hospital from 2017 to 2021 were included. Proportional reporting ratios (PRRs) were used to measure and display the top five signals of disproportionality and rank them by excess complaints at the hospital level and when divided into department types. The study included 6366 complaints containing 13 156 problems (on average, 2.1 problems mentioned per complaint letter). Surgical departments had the highest number of complaints (3818), followed by medical (1059), service (439), and emergency departments (239). Signal 1 of disproportionality, relating to quality problems during ward procedures, had the highest excess reporting of 1043 complaints at the hospital level and a PRR of 1.61 and was present in all department types. Signal 2, relating to safety problems during the examination and diagnosis stage, had an excess reporting of 699 problems and a PRR of 1.86 and was also present in all department types. Signal 3, relating to institutional problems during admission, had the highest PRR of 3.54 and was found in most department types. Signals 4 and 5, relating to environmental problems during ward procedures and care on the ward, respectively, had PRRs of 1.5 and 1.84 and were present in most department types. The study found that analysing patient complaints can identify potential areas for hospital improvement. The study identified recurring issues in multiple departments, including quality problems during ward procedures, safety problems during the examination, institutional problems during admission, and environmental problems on the ward. The study highlights disproportionality analysis of complaints as a valuable tool to monitor patient concerns systematically.</description><identifier>ISSN: 1353-4505</identifier><identifier>EISSN: 1464-3677</identifier><identifier>DOI: 10.1093/intqhc/mzad062</identifier><identifier>PMID: 37556110</identifier><language>eng</language><publisher>UK: Oxford University Press</publisher><ispartof>International journal for quality in health care, 2023-09, Vol.35 (3)</ispartof><rights>The Author(s) 2023. Published by Oxford University Press on behalf of International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2023</rights><rights>The Author(s) 2023. Published by Oxford University Press on behalf of International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c324t-93141940f37a6c014e2d52bfcb99fb9885b0bc2daa016934646ea811fb3179233</cites><orcidid>0000-0002-6207-0501 ; 0000-0002-8097-8708</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,1604,27924,27925</link.rule.ids><linktorsrc>$$Uhttps://dx.doi.org/10.1093/intqhc/mzad062$$EView_record_in_Oxford_University_Press$$FView_record_in_$$GOxford_University_Press</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37556110$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bie Bogh, Søren</creatorcontrib><creatorcontrib>Fryd Birkeland, Søren</creatorcontrib><creatorcontrib>Maj-Britt Hansen, Sebrina</creatorcontrib><creatorcontrib>Alexandrovna Tchijevitch, Olga</creatorcontrib><creatorcontrib>Hallas, Jesper</creatorcontrib><creatorcontrib>Morsø, Lars</creatorcontrib><title>Harnessing patient complaints to systematically monitoring healthcare concerns through disproportionality analysis</title><title>International journal for quality in health care</title><addtitle>Int J Qual Health Care</addtitle><description>Abstract
Staff observations are the most common source of data for driving improvements in care. However, the patient perspective should also be considered, and healthcare complaints offer concrete details that health organizations might otherwise overlook and that can highlight areas for learning and improvement in the healthcare system. However, because of the diverse nature of patient complaints, systematic analyses can be challenging. This study aimed to identify and prioritize areas for improvement using a data-driven approach to analysing patient complaints. The Danish version of the Healthcare Complaints Analysis Tool was used to categorize the content of complaint letters. All complaints managed by the national complaints authority, compensation claims to the Patient Compensation Association, and locally managed complaints that were filed directly at Odense University Hospital from 2017 to 2021 were included. Proportional reporting ratios (PRRs) were used to measure and display the top five signals of disproportionality and rank them by excess complaints at the hospital level and when divided into department types. The study included 6366 complaints containing 13 156 problems (on average, 2.1 problems mentioned per complaint letter). Surgical departments had the highest number of complaints (3818), followed by medical (1059), service (439), and emergency departments (239). Signal 1 of disproportionality, relating to quality problems during ward procedures, had the highest excess reporting of 1043 complaints at the hospital level and a PRR of 1.61 and was present in all department types. Signal 2, relating to safety problems during the examination and diagnosis stage, had an excess reporting of 699 problems and a PRR of 1.86 and was also present in all department types. Signal 3, relating to institutional problems during admission, had the highest PRR of 3.54 and was found in most department types. Signals 4 and 5, relating to environmental problems during ward procedures and care on the ward, respectively, had PRRs of 1.5 and 1.84 and were present in most department types. The study found that analysing patient complaints can identify potential areas for hospital improvement. The study identified recurring issues in multiple departments, including quality problems during ward procedures, safety problems during the examination, institutional problems during admission, and environmental problems on the ward. The study highlights disproportionality analysis of complaints as a valuable tool to monitor patient concerns systematically.</description><issn>1353-4505</issn><issn>1464-3677</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFkDtPwzAUhS0EoqWwMqKMMKT1I3HiEVW8pEosMEeO4zRGjp3azhB-Pa5SWJnule53ju45ANwiuEaQkY0y4dCJTf_NG0jxGViijGYpoUVxHneSkzTLYb4AV95_QYgoyeklWJAizylCcAncK3dGeq_MPhl4UNKERNh-0Dw6-yTYxE8-yD6eBNd6SnprVLDuyHeS69AJ7mSUGCGdiYLO2XHfJY3yg7ODdUFZw7UKU8LjnLzy1-Ci5drLm9Ncgc_np4_ta7p7f3nbPu5SQXAWUkZQhlgGW1JwKiDKJG5yXLeiZqytWVnmNawFbjiPsRiJsankJUJtTVDBMCErcD_7xkcOo_Sh6pUXUmtupB19hcusxLhEFEd0PaPCWe-dbKvBqZ67qUKwOvZczT1Xp56j4O7kPda9bP7w32Ij8DADdhz-M_sBA3qNeA</recordid><startdate>20230908</startdate><enddate>20230908</enddate><creator>Bie Bogh, Søren</creator><creator>Fryd Birkeland, Søren</creator><creator>Maj-Britt Hansen, Sebrina</creator><creator>Alexandrovna Tchijevitch, Olga</creator><creator>Hallas, Jesper</creator><creator>Morsø, Lars</creator><general>Oxford University Press</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6207-0501</orcidid><orcidid>https://orcid.org/0000-0002-8097-8708</orcidid></search><sort><creationdate>20230908</creationdate><title>Harnessing patient complaints to systematically monitoring healthcare concerns through disproportionality analysis</title><author>Bie Bogh, Søren ; Fryd Birkeland, Søren ; Maj-Britt Hansen, Sebrina ; Alexandrovna Tchijevitch, Olga ; Hallas, Jesper ; Morsø, Lars</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c324t-93141940f37a6c014e2d52bfcb99fb9885b0bc2daa016934646ea811fb3179233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bie Bogh, Søren</creatorcontrib><creatorcontrib>Fryd Birkeland, Søren</creatorcontrib><creatorcontrib>Maj-Britt Hansen, Sebrina</creatorcontrib><creatorcontrib>Alexandrovna Tchijevitch, Olga</creatorcontrib><creatorcontrib>Hallas, Jesper</creatorcontrib><creatorcontrib>Morsø, Lars</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>International journal for quality in health care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bie Bogh, Søren</au><au>Fryd Birkeland, Søren</au><au>Maj-Britt Hansen, Sebrina</au><au>Alexandrovna Tchijevitch, Olga</au><au>Hallas, Jesper</au><au>Morsø, Lars</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Harnessing patient complaints to systematically monitoring healthcare concerns through disproportionality analysis</atitle><jtitle>International journal for quality in health care</jtitle><addtitle>Int J Qual Health Care</addtitle><date>2023-09-08</date><risdate>2023</risdate><volume>35</volume><issue>3</issue><issn>1353-4505</issn><eissn>1464-3677</eissn><abstract>Abstract
Staff observations are the most common source of data for driving improvements in care. However, the patient perspective should also be considered, and healthcare complaints offer concrete details that health organizations might otherwise overlook and that can highlight areas for learning and improvement in the healthcare system. However, because of the diverse nature of patient complaints, systematic analyses can be challenging. This study aimed to identify and prioritize areas for improvement using a data-driven approach to analysing patient complaints. The Danish version of the Healthcare Complaints Analysis Tool was used to categorize the content of complaint letters. All complaints managed by the national complaints authority, compensation claims to the Patient Compensation Association, and locally managed complaints that were filed directly at Odense University Hospital from 2017 to 2021 were included. Proportional reporting ratios (PRRs) were used to measure and display the top five signals of disproportionality and rank them by excess complaints at the hospital level and when divided into department types. The study included 6366 complaints containing 13 156 problems (on average, 2.1 problems mentioned per complaint letter). Surgical departments had the highest number of complaints (3818), followed by medical (1059), service (439), and emergency departments (239). Signal 1 of disproportionality, relating to quality problems during ward procedures, had the highest excess reporting of 1043 complaints at the hospital level and a PRR of 1.61 and was present in all department types. Signal 2, relating to safety problems during the examination and diagnosis stage, had an excess reporting of 699 problems and a PRR of 1.86 and was also present in all department types. Signal 3, relating to institutional problems during admission, had the highest PRR of 3.54 and was found in most department types. Signals 4 and 5, relating to environmental problems during ward procedures and care on the ward, respectively, had PRRs of 1.5 and 1.84 and were present in most department types. The study found that analysing patient complaints can identify potential areas for hospital improvement. The study identified recurring issues in multiple departments, including quality problems during ward procedures, safety problems during the examination, institutional problems during admission, and environmental problems on the ward. The study highlights disproportionality analysis of complaints as a valuable tool to monitor patient concerns systematically.</abstract><cop>UK</cop><pub>Oxford University Press</pub><pmid>37556110</pmid><doi>10.1093/intqhc/mzad062</doi><orcidid>https://orcid.org/0000-0002-6207-0501</orcidid><orcidid>https://orcid.org/0000-0002-8097-8708</orcidid><oa>free_for_read</oa></addata></record> |
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title | Harnessing patient complaints to systematically monitoring healthcare concerns through disproportionality analysis |
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