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Continuity of care for patients with chronic lymphocytic leukemia: an analysis of real-world data.

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Journal of medical economics 📖 저널 OA 43.5% 2021: 0/1 OA 2022: 0/1 OA 2023: 0/2 OA 2024: 1/2 OA 2025: 1/30 OA 2026: 25/26 OA 2021~2026 2025 Vol.28(1) p. 1500-1511
Retraction 확인
출처

PICO 자동 추출 (휴리스틱, conf 3/4)

유사 논문
P · Population 대상 환자/모집단
990 patients were included in the analysis; median follow-up was 31.
I · Intervention 중재 / 시술
covalent Bruton tyrosine kinase inhibitor (cBTKi)-based therapy
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
While interpretation may be limited in the retrospective design, sensitivity and post-hoc analyses support this relationship. The findings from this study suggest the importance of maintaining a consistent oncologist/hematologist for the patient with CLL to reduce these healthcare events; however, causality cannot be inferred from this study.

Gaballa S, Khanal M, Chen Y, Bhandari NR, Winfree KB, Abhyankar S, Hess LM

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[AIMS] This study hypothesized that greater continuity of care (CoC) would be associated with lower all-cause healthcare resource utilization and improved overall survival (OS) among patients with chr

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • 95% CI 0.92-0.94
  • OR 0.85
  • RR 0.89
  • 추적기간 31.8 months

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↓ .bib ↓ .ris
APA Gaballa S, Khanal M, et al. (2025). Continuity of care for patients with chronic lymphocytic leukemia: an analysis of real-world data.. Journal of medical economics, 28(1), 1500-1511. https://doi.org/10.1080/13696998.2025.2554514
MLA Gaballa S, et al.. "Continuity of care for patients with chronic lymphocytic leukemia: an analysis of real-world data.." Journal of medical economics, vol. 28, no. 1, 2025, pp. 1500-1511.
PMID 40880070 ↗

Abstract

[AIMS] This study hypothesized that greater continuity of care (CoC) would be associated with lower all-cause healthcare resource utilization and improved overall survival (OS) among patients with chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL) among patients who received covalent Bruton tyrosine kinase inhibitor (cBTKi)-based therapy.

[METHODS] Optum's de-identified Clinformatics Data Mart Database was used for this retrospective study. Patient-level CoC measured by continuity of hematologist/oncologist provider care was evaluated using published measures; the Herfindahl-Hirschman Index (HHI) was the primary measure (range 0 = no continuity to 1.0 = complete continuity). Outcomes included all-cause emergency room (ER) visits, inpatient hospitalizations, and OS. Multivariable regression models (logistic, negative binomial, and Cox proportional hazards), adjusted for baseline covariates, were conducted to evaluate the relationship of CoC with outcomes.

[RESULTS] In total, 5,990 patients were included in the analysis; median follow-up was 31.8 months. Median HHI was 0.7210 (interquartile range = 0.4749, 1.0000). With higher CoC, there were lower odds of having an ER visit (HHI odds ratio [OR] = 0.89; 95% confidence interval [CI]: 0.87-0.91;  < 0.0001), lower number of ER visits (HHI rate ratio [RR] = 0.93; 95%CI 0.92-0.94;  < 0.0001), lower odds of inpatient hospitalization (HHI OR = 0.85; 95%CI: 0.84-0.87;  < 0.0001), and lower number of hospitalizations (HHI RR = 0.89; 95%CI: 0.88-0.90;  < 0.0001). There was no significant difference in OS (HHI hazard ratio = 0.99 (95%CI: 0.97-1.01)  = 0.18.

[LIMITATIONS] Causality cannot be inferred in this retrospective study.

[CONCLUSIONS] Greater CoC was significantly associated with reduced ER visits and reduced hospitalization, among patients diagnosed with CLL who received cBTKi therapy. While interpretation may be limited in the retrospective design, sensitivity and post-hoc analyses support this relationship. The findings from this study suggest the importance of maintaining a consistent oncologist/hematologist for the patient with CLL to reduce these healthcare events; however, causality cannot be inferred from this study.

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