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1.
JCO Oncol Pract ; : OP2300703, 2024 May 17.
Article in English | MEDLINE | ID: mdl-38759124

ABSTRACT

PURPOSE: Investigating the impact of social determinants of health (SDOHs) on cancer care in large populations relies on census estimates. Routine clinic SDOH screening provides timely patient-level information which could inform best practices. This study evaluated the correlation between patient-reported SDOH needs and population-level census tract measures. METHODS: This was a retrospective cross-sectional study of a cohort of adult patients with GI malignancy screened for SDOHs such as financial insecurity, transportation, and food insecurity during initial outpatient evaluation at East Carolina University (formerly Vidant) Health Medical Center in Greenville, NC (November 2020-July 2021). Primary outcomes included number and severity of identified SDOH needs and area deprivation index (ADI) and census tract measures for each patient. Spearman rank correlations were calculated among patient-level needs and between patient-level needs and similar census tract measures. RESULTS: Of 112 patients screened, 58.9% self-identified as White (n = 66) and 41.1% as Black (n = 46). A total of 50.5% (n = 54) resided in a rural county. The collective median state ADI rank was 7 (IQR, 5-9). The median household income was $38,125 in US dollars (USD) (IQR, $31,436-$48,934 [USD]). Only 12.5% (n = 14) reported a moderate or severe financial need. Among reported needs, financial need moderately correlated with food insecurity (coefficient, 0.46; P < .001) and transportation (coefficient, 0.45; P < .001). Overall, census tract measures and reported needs poorly correlated. Lack of transportation correlated with percentage of households without a vehicle (coefficient, 0.18; P = .03) and limited access to healthy foods (coefficient, 0.18; P = .04). CONCLUSION: Given the poor correlation between reported and census needs, population-level measures may not accurately predict patient-reported needs. These findings highlight the importance of SDOH screening in the clinical setting to reduce health disparities and identify opportunities to improve care delivery.

3.
Ann Surg Oncol ; 30(12): 7299-7308, 2023 Nov.
Article in English | MEDLINE | ID: mdl-37606839

ABSTRACT

BACKGROUND: Routine screening for social determinants of health (SDOH) in the outpatient oncology setting is uncommon. The primary goal of this study was to prospectively evaluate the feasibility and acceptability of implementing an electronic health record (EHR) SDOH screening instrument into routine, clinical, oncology practice. METHODS: Adult patients with newly diagnosed gastrointestinal cancer presenting to a regional cancer center (November 2020 to July 2021) were eligible. Based on the consolidated framework for implementation research, feasibility measures included screening completion, median clinic visit time, and acceptability by the inter-professional care team and patients as measured by semistructured, qualitative interviews and surveys. Secondary outcomes included SDOH needs identified. RESULTS: Of 137 eligible patients, 112 (81.8%) were screened for SDOH. Demographics of the cohort included: 41.1% black (n = 46), 48.2% rural (n = 54), 4.5% uninsured (n = 5), and 6.3% Medicaid-insured (n = 7) patients. Median visit time was 97 min (95% CI 70-107 min) before and 100 min after implementation (95% CI 75-119 min; p = 0.95). In total, 95.5% (n = 107) reported at least one SDOH need. Clinicians (7/10) reported that SDOH screening was not disruptive and were supportive of ongoing use. Patients (10/10) found the screening acceptable. Screening staff (5/5) reported workflow barriers. Patients and staff also recommended revision of specific instrument questions. CONCLUSIONS: Routine collection of SDOH in an outpatient oncology setting using an EHR instrument is feasible and does not result in increased visit time for patients or clinicians. However, staff perceptions of clinic workflow disruption were reported. Further investigation to determine whether standardized SDOH assessment can improve cancer care delivery and outcomes is ongoing.

4.
J Am Med Dir Assoc ; 23(4): 547-554, 2022 04.
Article in English | MEDLINE | ID: mdl-35247359

ABSTRACT

OBJECTIVES: Morbidity rates following liver resection are high, especially among older adult patients. This review aims to evaluate the evidence surrounding prehabilitation in older patients anticipating liver resection and to describe how prehabilitation may be implemented. DESIGN: Problem-based narrative review with case-based discussion. SETTING AND PARTICIPANTS: All older adults anticipating liver resection inclusive of benign and malignant etiologies in the United States. METHODS: Literature search was performed using MeSH terms and keywords in MEDLINE via PubMed, followed by a manual second search for relevant references within selected articles. Articles were excluded if not available in the English language or did not include patients undergoing hepatectomy. RESULTS: Prehabilitation includes a range of activities including exercise, nutrition/dietary changes, and psychosocial interventions that may occur from several weeks to days preceding a surgical operation. Older adult patients who participate in prehabilitation may experience improvement in preoperative candidacy as well as improved postoperative quality of life and faster return to baseline; however, evidence supporting a reduction in postoperative length of stay and perioperative morbidity and mortality is conflicting. A variety of modalities are available for prehabilitation but lack consensus and standardization. For a provider desiring to prescribe prehabilitation, multidisciplinary assessments including geriatric, cardiopulmonary, and future remnant liver function can help determine individual patient needs and select appropriate interventions. CONCLUSIONS AND IMPLICATIONS: In the older adult patient undergoing liver resection, the current body of literature suggests promising benefits of prehabilitation programs inclusive of functional assessment as well as multimodal interventions. Additional research is needed to determine best practices.


Subject(s)
Hepatectomy , Surgeons , Aged , Hepatectomy/adverse effects , Humans , Liver , Postoperative Complications/prevention & control , Preoperative Care/adverse effects , Preoperative Exercise , Quality of Life
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