Leveraging social determinants of health to reduce hospital length of stay: A pilot quality improvement project to address inpatient cancer patients' barriers during the COVID 19 pandemic.

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 233-233
Author(s):  
Sailaja Kamaraju ◽  
Dave Atkinson ◽  
Thomas Wetzel ◽  
Tamiah Wright ◽  
John A. Charlson ◽  
...  

233 Background: Prior reports from our institution demonstrated high rates of racial segregation, unfavorable social determinants of health (SDoH) in Milwaukee, WI, and statewide reports of inferior outcomes for cancer patients from minority communities. At the Medical College of Wisconsin's Cancer Center (Milwaukee, WI), during the first through last quarters of 2018-2019, cancer patients from the low socioeconomic status (SES) communities who were hospitalized to inpatient oncology units had an average length of stay (LOS) of 7.2 days compared to 5.6 days for high SES group. Under the auspices of the American Society of Clinical Oncology's Quality Training Program (QTP) initiative, we aimed to reduce the hospital LOS by 10% or less by May 2021 for inpatient oncology teams. Methods: A multidisciplinary team collaboration between the inpatient and outpatient providers was developed during this QI initiative. We examined LOS index data, payer types, and other diagnostic criteria for the oncology inpatient solid tumor service and two comparator services (bone marrow transplant, BMT; internal medicine). We generated workflow, a cause-and-effect diagram, and a Pareto diagram to determine the relevant factors associated with longer hospital LOS. Institution-wide implementation of the SDH screen project was launched to evaluate and address specific barriers to SDoH to expedite a safe discharge process during the pandemic. Results: Through one test of change (Plan-Do-Study-Act cycles 1, 2 &3), we identified the problem of extended LOS and patient-related barriers to discharge during this QI initiative. Compared to the baseline LOS, after the launch of the SDoH screen project, there was a 6.5% decrease in the inpatient average LOS for oncology patients (7.89 to 7.40days, p = 0.004),10.7% for BMT (15.96 days to14.26, p = 0.166), and 2.4% for Internal Medicine (4.61 to 4.50 to days, p = 0.131). There was a 10.0% decrease in LOS (8.07 to 7.26 days, p = < 0.001) for the three specialties combined. With collaboration from inpatient and outpatient providers, appropriate referrals were generated to address patient-specific SDH before discharge (i.e., transportation coordination, nutritional and physical therapy referrals, social worker assistance with food, and housing insecurities). Conclusions: In this pilot project, implementing SDoH screening-based-care delivery at the time of inpatient admission demonstrated a slight improvement in LOS for solid tumor oncology patients and provided timely referrals, opportunities to engage and explore the discharge facilities early on during the COVID 19 pandemic. With this preliminary data, we plan to continue to expand our efforts through a systemwide implementation of this SDoH survey both in the inpatient and outpatient settings to address cancer inequities.

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 232-232
Author(s):  
Sailaja Kamaraju ◽  
Bethany Canales ◽  
Tamiah Wright ◽  
John A. Charlson ◽  
Aniko Szabo ◽  
...  

232 Background: In a retrospective analysis at the Medical College of Wisconsin’s Cancer Center, we identified longer inpatient length of stay (LOS) for patients residing in low-socioeconomic (SES) ZIP Codes in Milwaukee County compared to their high-SES counterparts in 2020 (7.3 days compared to 7.1 days). Under the auspices of American Society of Clinical Oncology’ Quality Training Program (QTP) initiative, this study examined specific factors related to prolonged LOS for solid tumor oncology patients. Methods: This analysis includes initial CY20 LOS medical record data for select patient service areas. Supplemental data includes disease registry data, diagnostic data, and SES data determined by patient ZIP Code. We identified patients 18 years and older with a diagnosis of common oncologic malignancies from 1/1/2020-12/31/2020 (breast, gastrointestinal (GI), genitourinary (GU), gynecologic (GYN), head and neck (H&N), and lung cancers). Poisson regression models with robust standard errors were used to compare the LOS index (LOSi) between groups of patients based on race, SES group, primary payer, and BMI. Results: A total of 1,637 patients with solid tumor diagnosis admitted to hematology and oncology units were identified. The LOSi did not vary significantly by race (range 0.95 – 1.07, p = 0.40) or primary payer (range 0.99 – 1.04, p = 0.59), but lower SES groups tended to have longer LOSi, with LOSi ratio above 1 compared to high SES (low SES: 1.16, p = 0.2; medium-low SES: 1.24, p = 0.06). Among patients with breast cancer diagnosis, Black (LOSi = 1.24, p = 0.01), medium-low SES (LOSi = 1.46, p = 0.02), Medicaid (LOSi = 1.40, p = 0.00), underweight (LOSi = 1.66, p = 0.00), and overweight (LOSi = 1.23, p = 0.01) patients had slightly longer LOSi, with LOSi ratio above 1. Among patients with H&N cancer diagnosis, Black patients (LOSi = 0.77, p = 0.02) had slightly shorter LOSi, with LOSi ratio below 1. The LOSi did not vary significantly by other factors for patients with H&N cancer diagnosis or the other common oncologic malignancies evaluated. Conclusions: This study shows how patient-specific factors such as race, SES, primary payer, and BMI contribute to inpatient LOS. Healthcare systems may benefit by addressing patient-specific barriers and factors such as body mass index, SES and SDH, to reduce hospital LOS.


2021 ◽  
pp. 1-6

OBJECTIVE Methods of reducing complications in individuals electing to undergo anterior cervical discectomy and fusion (ACDF) rely upon understanding at-risk patient populations, among other factors. This study aims to investigate the interplay between social determinants of health (SDOH) and postoperative complication rates, length of stay, revision surgery, and rates of postoperative readmission at 30 and 90 days in individuals electing to have single-level ACDF. METHODS Using MARINER30, a database that contains claims information from all payers, patients were identified who underwent single-level ACDF between 2010 and 2019. Identification of patients experiencing disparities in 1 of 6 categories of SDOH was completed using ICD-9 and ICD-10 (International Classifications of Diseases, Ninth and Tenth Revisions) codes. The population was propensity matched into 2 cohorts based on comorbidity status: those with SDOH versus those without. RESULTS A total of 10,030 patients were analyzed; there were 5015 (50.0%) in each cohort. The rates of any postoperative complication (12.0% vs 4.6%, p < 0.001); pseudarthrosis (3.4% vs 2.6%, p = 0.017); instrumentation removal (1.8% vs 1.2%, p = 0.033); length of stay (2.54 ± 5.9 days vs 2.08 ± 5.07 days, p < 0.001 [mean ± SD]); and revision surgery (9.7% vs 4.2%, p < 0.001) were higher in the SDOH group compared to patients without SDOH, respectively. Patients with any SDOH had higher odds of perioperative complications (OR 2.8, 95% CI 2.43–3.33), pseudarthrosis (OR 1.3, 95% CI 1.06–1.68), revision surgery (OR 2.4, 95% CI 2.04–2.85), and instrumentation removal (OR 1.4, 95% CI 1.04–2.00). CONCLUSIONS In patients who underwent single-level ACDF, there is an association between SDOH and higher complication rates, longer stay, increased need for instrumentation removal, and likelihood of revision surgery.


2021 ◽  
Vol 50 (1) ◽  
pp. 249-249
Author(s):  
Alina West ◽  
Hunter Hamilton ◽  
Nariman Ammar ◽  
Fatma Gunturkun ◽  
Tamekia Jones ◽  
...  

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