Associations of Social Deprivation and Oncology Physician Network Vulnerability With Acute Care Utilization in the SEER-Medicare Population.
코호트
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
756 patients with breast, colorectal or lung cancer.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Our findings suggest that SDI and physician network vulnerability interact to increase the probability and likelihood of ED visits, but the interaction was minimal for non-elective hospitalizations.
[OBJECTIVE] The objectives of this study were to evaluate associations of social deprivation with acute care utilization among patients with cancer, and to examine potential effect modification by phy
- 연구 설계 cohort study
APA
Korsberg AA, Brooks GA, et al. (2026). Associations of Social Deprivation and Oncology Physician Network Vulnerability With Acute Care Utilization in the SEER-Medicare Population.. Health services research, 61(1), e70070. https://doi.org/10.1111/1475-6773.70070
MLA
Korsberg AA, et al.. "Associations of Social Deprivation and Oncology Physician Network Vulnerability With Acute Care Utilization in the SEER-Medicare Population.." Health services research, vol. 61, no. 1, 2026, pp. e70070.
PMID
41255080
Abstract
[OBJECTIVE] The objectives of this study were to evaluate associations of social deprivation with acute care utilization among patients with cancer, and to examine potential effect modification by physician network vulnerability.
[STUDY SETTING AND DESIGN] For this retrospective cohort study, the primary exposure variable was neighborhood-level socioeconomic disadvantage, operationalized through the social deprivation index (SDI). We assembled physician patient-sharing networks and calculated a measure of network vulnerability for each referral region to capture specialist scarcity. The two outcomes of interest were counts of emergency department (ED) visits and non-elective hospitalizations during the 12 months following cancer diagnosis. We conducted hurdle regressions, with logistic and negative binomial mixed-effects models for the zero and positive, non-zero parts of the outcome distribution, respectively, and stratified by physician network vulnerability.
[DATA SOURCES AND ANALYTIC SAMPLE] We analyzed 2016-2020 Surveillance, Epidemiology, and End Results (SEER)-Medicare linked data for Medicare beneficiaries diagnosed with breast, colorectal, or lung cancer.
[PRINCIPAL FINDINGS] The study cohort comprised 47,756 patients with breast, colorectal or lung cancer. Patients in high SDI neighborhoods (vs. low) had a higher probability of at least one ED visit across all physician network vulnerability strata (low network vulnerability-average marginal effect (AME) [95% CI]: 0.03 [0.01-0.05]; medium network vulnerability-AME [95% CI]: 0.03 [0.01-0.04]; high network vulnerability-AME [95% CI]: 0.05 [0.02-0.08]). Conditional on at least one ED visit, patients in high SDI neighborhoods (vs. low) had a greater relative risk of additional ED visits when their region was characterized by low physician network vulnerability (RR [95% CI]: 1.25 [1.09-1.43]).
[CONCLUSIONS] Our findings suggest that SDI and physician network vulnerability interact to increase the probability and likelihood of ED visits, but the interaction was minimal for non-elective hospitalizations. More research is needed to better understand how social drivers of health and oncology workforce scarcity affect care utilization and outcomes in patients with cancer.
[STUDY SETTING AND DESIGN] For this retrospective cohort study, the primary exposure variable was neighborhood-level socioeconomic disadvantage, operationalized through the social deprivation index (SDI). We assembled physician patient-sharing networks and calculated a measure of network vulnerability for each referral region to capture specialist scarcity. The two outcomes of interest were counts of emergency department (ED) visits and non-elective hospitalizations during the 12 months following cancer diagnosis. We conducted hurdle regressions, with logistic and negative binomial mixed-effects models for the zero and positive, non-zero parts of the outcome distribution, respectively, and stratified by physician network vulnerability.
[DATA SOURCES AND ANALYTIC SAMPLE] We analyzed 2016-2020 Surveillance, Epidemiology, and End Results (SEER)-Medicare linked data for Medicare beneficiaries diagnosed with breast, colorectal, or lung cancer.
[PRINCIPAL FINDINGS] The study cohort comprised 47,756 patients with breast, colorectal or lung cancer. Patients in high SDI neighborhoods (vs. low) had a higher probability of at least one ED visit across all physician network vulnerability strata (low network vulnerability-average marginal effect (AME) [95% CI]: 0.03 [0.01-0.05]; medium network vulnerability-AME [95% CI]: 0.03 [0.01-0.04]; high network vulnerability-AME [95% CI]: 0.05 [0.02-0.08]). Conditional on at least one ED visit, patients in high SDI neighborhoods (vs. low) had a greater relative risk of additional ED visits when their region was characterized by low physician network vulnerability (RR [95% CI]: 1.25 [1.09-1.43]).
[CONCLUSIONS] Our findings suggest that SDI and physician network vulnerability interact to increase the probability and likelihood of ED visits, but the interaction was minimal for non-elective hospitalizations. More research is needed to better understand how social drivers of health and oncology workforce scarcity affect care utilization and outcomes in patients with cancer.
MeSH Terms
Humans; United States; Female; Male; Medicare; Aged; Retrospective Studies; Emergency Service, Hospital; SEER Program; Social Deprivation; Neoplasms; Aged, 80 and over; Patient Acceptance of Health Care; Hospitalization; Socioeconomic Factors; Neighborhood Characteristics; Medical Oncology