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Record W4417008277 · doi:10.1182/blood-2025-7880

Assessing quality metrics in sickle cell disease: A multicenter review of community hospitals in southwestern Ontario from 2017-2024.

2025· article· en· W4417008277 on OpenAlexaffabout
Pedrom Farid, M Quijano, Rong Luo, Andrea Cervi

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsUniversity of WindsorWindsor Regional HospitalWestern University
Fundersnot available
KeywordsLogistic regressionHealth careEmergency departmentDescriptive statisticsQuality managementMEDLINERetrospective cohort studyCommunity hospitalDiseaseCommunity health

Abstract

fetched live from OpenAlex

Abstract Background: In Ontario, Canada, quality standards have been developed to promote the timely and effective management of patients with sickle cell disease (SCD) presenting to acute care settings; however, the uptake of recommended care metrics into routine clinical practice remains inconsistent. Most initiatives have focused on establishing protocols in tertiary care academic centers; however, many Canadian patients seek care at community-based institutions where SCD care pathways may be lacking. Our study aims to assess the quality of care provided to patients with SCD presenting to community emergency departments (EDs), using benchmark metrics outlined in current clinical guidelines from Ontario Health and the American Society of Hematology (ASH). Methods: We conducted a retrospective chart review of adult patients with SCD seen between January 2017 and December 2024 at four community EDs in southwestern Ontario, serving a catchment of approximately 230,000 people. Emergency and inpatient metrics were collected and stored in a REDCap database. Descriptive statistics were used to summarize demographic and clinical characteristics of ED visits and hospital admissions. Multivariable Cox, linear, negative binomial, and logistic regression models were used to examine associations with key outcomes, and statistical significance was defined as p < 0.05. Results: Between 2017 and 2024, a total of 160 ED SCD-related visits were recorded across four community hospitals in southwestern Ontario, involving 47 unique adult patients. The median age at presentation was 24.1 years [interquartile range (IQR) 20.4-30.9], and 55.7% of visits (n=89) involved male patients. Female patients had significantly more ED visits per individual, with an 83% higher visit rate than males [incidence rate ratio (IRR):1.83, p = 0.024]. Vaso-occlusive episodes (VOEs) were the most common reason for ED visit (n=125; 78.1%), followed by acute chest syndrome (ACS) (n=17; 10.6%), hepatobiliary complications (n=5; 3.1%), and priapism (n=4; 2.5%). Median length of ED stay was 11.2 hours (IQR 7.4-17.6) and median time to first analgesia from ED triage registration was 2.7 hours (IQR 1.6-5.5). Only four patients (2.5%) presenting with VOE received analgesia within the recommended 30-minute timeframe. Increasing age was independently associated with shorter time to analgesia, with each additional year reducing wait time by 6.5 minutes (p = 0.033). The type of analgesia used in the ED included opioids in 139 (86.9%) visits, NSAIDs in 45 (28.1%), and acetaminophen in 42 (26.3%). Most visits (83; 51.8%) involved opioid use alone. The majority (111; 69.4%) of visits required hospital admission. Median inpatient length of stay was 4.2 days (IQR 2.3-7.1). VOE was the most common reason for admission (n = 80, 72.1%). Forty-four inpatient admissions (40.4%) involved an RBC transfusion. Pharmacologic venous thromboembolism (VTE) prophylaxis with low-molecular-weight heparin was prescribed in 74.5% of admissions. Consulting services during hospitalization included Hematology (31; 27.9%), Acute Pain Service (14; 12.6%), Surgical (13; 11.7%), Internal Medicine (8; 7.2%), and ICU (7; 6.3%). ACS developed in 27 admitted patients (24.3%); incentive spirometry was documented in only 8 (7.6%) admissions. Ten (9.1%) patients required transfer to a higher acuity setting. Male sex was associated with a significantly increased likelihood of developing ACS (p= 0.030) and being transferred to a higher acuity setting (p= 0.008). Conclusions: In our study cohort, most patients with SCD presenting to community hospitals in southwestern Ontario did not receive care aligned with provincial quality standards or the ASH clinical practice guidelines. Gaps were identified in the timely administration of analgesia for VOE, use of multimodal analgesia, pharmacologic thromboprophylaxis, and incentive spirometry to reduce complications such as ACS. These findings demonstrate the need to enhance SCD resources in regional hospitals. We aim to use these data to advocate for system-level improvements to support guideline-based care for patients with SCD outside tertiary centers. Future studies will compare care metrics from community hospitals in our region to those of our academic partner to better understand disparities. With growing immigration in our region, building person-centered, evidence-based SCD pathways is essential to address persistent health inequities faced by individuals living with SCD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.233

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.020
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.325
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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