期刊论文详细信息
International Journal of Otolaryngology
An Analysis of Complaints in Two Large Tertiary University Teaching Hospital ENT Departments: A Two-Year Retrospective Review
Iulia Bujoreanu1  Ali Taghi2  Ahmad Hariri2  Vikas Acharya2 
[1]Imperial College London, London, UK, imperial.ac.uk
[2]St. Mary’s Hospital, London, UK, ccmc.or.kr
DOI  :  10.1155/2020/1484687
来源: publisher
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【 摘 要 】
Introduction. Complaints relating to patient care are known to correlate with surgical complication rates and malpractice lawsuits. In a continually evolving health service and on-going financial pressures, identifying current complaint themes could drive future improvements in healthcare delivery. Objective. The aim of this paper is to review and analyse complaints received by the ENT department of two large teaching hospitals in London in order to determine current trends and mitigate future challenges. Method. All complaints registered with the Patient Advice and Liaison Service (PALS) from the ENT Department at our institution were collected between June 2016 and August 2018. Demographic information was collated and complaints were analysed and interpreted as per a standardised coding taxonomy. Results. A total of 242 complaints were collected. Most (91.7%) were logged by patients themselves with a mean age of 48.3 (range 3–98 years). The majority were directed at the administrative team (52%) followed by management (23.5%) and then clinicians (16.9%). Administrative issues were the most common (50.1%) followed by clinical (25.1%) and relationship/communication (24.7%). The bulk of complaints focused on delays in access to services and treatment in the form of cancellations and long appointment waiting times (37%). Conclusion. There has been a significant shift in complaints themes from clinical issues to administrative issues. This may reflect increasing financial and staffing pressures in the NHS. Complaints analysis is key in quality improvement and a cross-specialty integrated filing system in concordance with the recently proposed taxonomy would ease future collection and analysis of data.
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