Evidence map›Paper›PMID 42083987›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Reducing Elective Surgery Backlogs Through Centralized Waiting List Management: A Quality Improvement Study.

Rabbani Mahmoud Daoud, Moosa Alhoda, Zainab Jasim, Salim Fredericks, Juliane Kause

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Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Rabbani Mahmoud DaoudDepartment of Internal Medicine, Hull University Teaching Hospital, Hull, UK.ORCID 0000-0001-8141-961X
Moosa AlhodaDepartment of Internal Medicine, Mass General Brigham Salem Hospital, Massachusetts, USA.ORCID 0000-0003-2441-6249
Zainab JasimDepartment of Internal Medicine, Salmaniya Medical Complex, Manama, Bahrain.
Salim FredericksDepartment of Biochemistry, Royal College of Surgeons in Ireland, Muharraq, Bahrain.
Juliane KauseCEO Advisor of Government Hospitals in Bahrain, Salmaniya Medical Complex, Manama, Bahrain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionGrowing elective surgical waiting lists remain a persistent global challenge, exacerbated by the COVID-19 pandemic, which led to the widespread suspension of non-urgent procedures. In the Gulf region, elective surgery cancellation rates reached up to 72% by 2020, compounding surgical backlogs. At Salmaniya Medical Complex, Bahrain's largest public tertiary hospital, the resulting backlog overwhelmed existing systems that relied on fragmented spreadsheets and manual logs. This Quality Improvement Project (QIP) aimed to improve surgical waiting list management using a centralized, data-driven approach to reduce backlog, improve scheduling, and enhance theatre utilization.MethodsThis retrospective pre-post QIP included all adult patients (≥18 years) listed for elective, non-cancer surgery across secondary and tertiary surgical specialties between January 2019 and December 2023. Interventions, implemented from January to August 2024, included: (1) consolidating all waiting list data into a single computerized system; (2) validating and updating entries through direct patient contact; and (3) integrating a centralized repository within the Electronic Patient Record (EPR) system. This enabled real-time tracking, automated prioritization, and flexible scheduling. The primary outcome was waiting list volume. Secondary outcomes were mean waiting time to surgery and theatre utilization. Descriptive statistics and paired t-tests were applied to assess the significance of any differences observed with a significance of p<0.05.ResultsFrom January to August 2024, the surgical waiting list decreased by 51.74%, from 9,597 to 4,627 patients. Major reductions (relative to the baseline waiting list) were observed in Ophthalmology (69.40%), Urology (59.23%), and Orthopedics (58.59%). Mean waiting times (SD) decreased from 12.7 (7.72) to 7.2 (4.75) months (p = 0.014), corresponding to a 158-day reduction. Mean monthly caseload in the main operating theatres (MOT) increased from 1,469 (139.3) cases in 2023 to 1,608 (94.4) in 2024 (p < 0.001).ConclusionA centralized, EPR-integrated surgical waiting list system significantly reduced surgical backlogs and delays, while improving coordination, prioritization, and theatre utilization. Differences in outcomes across departments reflect varying case complexities and highlight the need for tailored strategies. This scalable model supports more efficient post-pandemic recovery and long-term service resilience.

Indexed as

Elective Surgical ProceduresQuality ImprovementWaiting ListsAppointments and SchedulesCOVID-19Electronic Health RecordsHumansPandemicsRetrospective StudiesSARS-CoV-2COVID-19elective surgery backlogelectronic patient recordhealthcare quality assuranceoperating roomsquality improvementsurgical waiting timetime to treatmentwaiting lists

Identifiers

PMID42083987
PMCPMC13158493

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.