Association of Socioeconomic Area Deprivation Index with Hospital Readmissions After Colon and Rectal Surgery

Area Deprivation, Fragmented Care, and Colectomy Case Acuity in the Veterans Health Administration

BACKGROUND

Colectomy for benign or malignant disease may be elective, urgent, or emergent. Data suggest successively worse outcomes for nonelective colectomy. Limited data exist regarding the contribution of high area deprivation index and care fragmentation to nonelective colectomy.

OBJECTIVE

Determine the association between area deprivation and nonelective colectomy in the Veterans Health Administration and assess whether accounting for differences in care fragmentation alters the association across indications and for benign and malignant conditions separately.

DESIGN

Retrospective cohort with multivariable multinomial logit models to evaluate associations between high-deprivation care fragmentation and the adjusted odds of nonelective colectomy. We calculated total, direct, and indirect effects to assess whether the association varied by levels of care fragmentation.

SETTING

Veterans receiving care in the private sector and Veterans Health Administration.

PATIENTS

Veterans aged 65 years or older undergoing colectomy between 2013 and 2019 were included.

MAIN OUTCOME MEASURES

Colectomy case acuity.

RESULTS

We identified 6538 colectomy patients, of whom 3006 (46.0%) were identified for malignancy. The odds of emergent colectomy were higher for patients in high-deprivation areas when the indication was for benign pathology (adjusted OR 1.51; 95% CI, 1.15-2.00). For malignant indications, there was no association between high deprivation and nonelective colectomy. More fragmented care was associated with higher odds of urgent and emergent colectomy for both benign and malignant indications, but the association between deprivation and nonelective colectomy did not vary by care fragmentation.

LIMITATIONS

Inherent to large administrative retrospective databases.

CONCLUSIONS

Veterans living in high-deprivation areas are at higher risk for emergent colectomy for benign conditions. Care fragmentation is also associated with a higher risk of emergent colectomy across indications. Efforts to reduce care fragmentation and promote early detection of IBD and diverticular disease in high-deprivation neighborhoods may lower the risk for nonelective colectomy in veterans. See Video Abstract .

PRIVACIN DE REA, ATENCIN FRAGMENTADA Y AGUDEZA DE LOS CASOS DE COLECTOMA EN LA ADMINISTRACIN DE SALUD PARA VETERANOS

ANTECEDENTES:La colectomía por enfermedad benigna o maligna puede ser electiva, urgente o de emergencia. Los datos sugieren resultados cada vez peores para la colectomía no electiva. Existen pocos datos sobre la contribución del alto índice de privación de área y la fragmentación de la atención a la colectomía no electiva.OBJETIVO:Determinar la asociación entre la privación de área y la colectomía no electiva en la Administración de Salud de Veteranos (VHA) y evaluar si tener en cuenta las diferencias en la fragmentación de la atención altera la asociación entre las indicaciones y para las condiciones benignas y malignas por separado.DISEÑO:Cohorte retrospectiva con modelos logit multinomiales multivariables para evaluar las asociaciones entre la alta fragmentación de la atención por privación y las probabilidades ajustadas de colectomía no electiva. Calculamos los efectos totales, directos e indirectos para evaluar si la asociación variaba según los niveles de fragmentación de la atención.ESCENARIO:Veteranos que reciben atención en el sector privado y la VHA.PACIENTES:Veteranos ≥ 65 años sometidos a colectomía entre 2013 y 2019.

RESULTADO PRINCIPAL/MEDIDAS

Gravedad de los casos de colectomíaRESULTADOS:Identificamos 6538 pacientes de colectomía, de los cuales 3006 (46,0%) fueron por neoplasia maligna. Las probabilidades de colectomía de emergencia fueron mayores para los pacientes en áreas de alta privación cuando la indicación fue por patología benigna (aOR 1,51 IC del 95% 1,15, 2,00). Para las indicaciones malignas, no hubo asociación entre la alta privación y la colectomía no electiva. La atención más fragmentada se asoció con mayores probabilidades de colectomía urgente y de emergencia tanto para indicaciones benignas como malignas, pero la asociación entre la privación y la colectomía no electiva no varió según la fragmentación de la atención.LIMITACIONES:Inherentes a las grandes bases de datos administrativas retrospectivas.CONCLUSIONES:Los veteranos que viven en zonas de alta pobreza tienen un mayor riesgo de colectomía de urgencia por afecciones benignas. La fragmentación de la atención también se asocia con un mayor riesgo de colectomía de urgencia en todas las indicaciones. Los esfuerzos para reducir la fragmentación de la atención y promover la detección temprana de la enfermedad inflamatoria intestinal y la enfermedad diverticular en barrios de alta pobreza pueden reducir el riesgo de colectomía no electiva en los veteranos. (Traducción-Dr Yolanda Colorado ).

The impact of Area Deprivation Index (ADI) in abdominal wall reconstruction (AWR)

BACKGROUND

The Area Deprivation Index(ADI) is a validated measure of socioeconomic status(SES) with a higher percentile indicating lower SES. This study evaluated the impact of ADI on elective abdominal wall reconstruction(AWR).

METHODS

A prospective database was queried for open AWR patients from 1/2017-12/2023. ADI was determined for each patient. An optimal cut-point analysis utilizing Youden's J determined the ADI threshold for wound complications as a primary outcome. Patients were stratified by ADI ≥62 or <62.

RESULTS

Of 722 AWR patients, 362 had ADI≥62(average:79.0 ​± ​10.6) and 360 had ADI<62(average:39.3 ​± ​15.2). There was no difference in sex or age, but ADI≥62 had more Black patients(16.3 %vs.10.3 ​%;p ​= ​0.046), less private insurance(40.9 %vs.45.8 ​%;p ​= ​0.046), higher BMI(31.9 ​± ​6.9vs.30.0 ​± ​5.6 ​kg/m2;p ​< ​0.001), COPD(8.3 %vs.4.4 ​% p ​= ​0.035), diabetes(29.0 %vs.17.2 ​%;p ​< ​0.001), ASA-III(61.9 %vs.55.0 ​%;p ​= ​0.029), recurrent hernias(62.4 %vs.51.7 ​%;p ​= ​0.003), and dirty cases(14.4 %vs.7.8 ​%;p ​= ​0.004). Postoperative complications, readmissions, and reoperations were not statistically different. ADI was not predictive of wound complications on multivariable regression.

CONCLUSION

Despite increased disadvantage, comorbidity, and surgical complexity, patients of worse ADI had equal postoperative outcomes.

Race/Ethnicity Analysis of Vascular Alterations in Optical Coherence Tomography Angiography in Diabetic Patients

PURPOSE

Racial and ethnic minorities have a higher prevalence of diabetic retinopathy (DR) and present at advanced stages of disease. In an urban hospital population, we investigated microvascular differences in optical coherence tomography angiography (OCTA) between racial/ethnic groups while adjusting for socioeconomic status (SES).

METHODS

3 × 3 mm2 macular OCTA scans were obtained for analysis of foveal avascular zone (FAZ) area, FAZ perimeter as well as superficial (SCP) and deep capillary plexus (DCP) vessel density (VD), vessel length density (VLD), and adjusted flow index (AFI). SES was measured using the Area Deprivation Index. Multivariable regression models were used to adjust estimates for relevant confounders.

RESULTS

217 non-diabetic and 1,809 diabetic patients were included in the study, consisting of 42.2% Hispanic, 24.9% non-Hispanic (NH) Asian, 6.8% NH Black, 9.7% NH White and 16.3% Other patients. NH White was used as the reference group. Hispanic, NH Asian, and NH Black patients had significantly greater FAZ areas and FAZ perimeters, and lower DCP VD and VLD, among both non-diabetic and diabetic patients (Benjamini-Hochberg adjusted P-values <0.05). The addition of SES scores in the models did not modify any regressions significantly.

CONCLUSIONS

In patients with and without diabetes, racial and ethnic minorities have significant retinal microvasculature differences when compared to NH White patients, regardless of SES. These differences are pronounced in DCP and may predispose racial/ethnic minorities to worse outcomes in DR, thus widening disparities in ophthalmic care.

Neighborhood Socioeconomic Disadvantage May Influence 1-Year Patient-Reported Outcome Measures After Total Hip Arthroplasty

BACKGROUND

The impact of socioeconomic status on achievement of clinically relevant patient-reported outcome measure (PROM) improvements and satisfaction after total hip arthroplasty (THA) is unknown. Area Deprivation Index (ADI) is a metric that can be used as a proxy for a patient's neighborhood socioeconomic status. This study aimed to assess the association between ADI and failure to achieve: (1) clinically relevant improvements in PROMs; and (2) self-reported satisfaction at 1 year following THA.

METHODS

A prospective cohort of 7,506 patients who underwent primary unilateral THA from January 2016 to July 2021 was included. The ADI was stratified into quintiles based on their distribution in our sample. Multivariable logistic regression models were created to investigate the effect of ADI on 1-year PROMs. The included PROMs were the Hip Disability and Osteoarthritis Outcome Score (HOOS) Pain, Physical Function Shortform (PS), and Joint Replacement (JR). Clinically relevant improvements were assessed through minimal clinically important difference and patient acceptable symptom state threshold achievement.

RESULTS

There was no significant association between ADI and failure to achieve minimal clinically important difference for HOOS pain (P = 0.42), PS (P = 0.91), or JR (P = 0.20). However, higher ADI scores were independently associated with increased odds of failing to achieve patient acceptable symptom state for HOOS Pain (P = 0.002), PS (P = 0.003), and JR (P = 0.017). The ADI was not associated with failure to achieve patient satisfaction at 1 year (P = 0.93).

CONCLUSIONS

Greater neighborhood socioeconomic disadvantage was associated with decreased odds of achieving clinically relevant improvement in patient-perceived symptomatic state, but not associated with patients' perception of their overall pain and function 1 year after THA. Targeted interventions to address access and care pathways for low socioeconomic status patients may present an opportunity to improve patient-perceived outcomes following THA.

LEVEL OF EVIDENCE

Level III.

Real-World Type 2 Diabetes Second-Line Treatment Allocation Among Patients

Objective

This study aimed to evaluate the impact of socioeconomic disparities on the allocation of second-line treatments among patients with type 2 diabetes (T2D).

Materials and Methods

We conducted an observational study using real-world data from over 9 million patients across five University of California Health centers. The study included patients who initiated a second-line T2D medication after metformin, with hemoglobin A1c (HbA1c) measurements within ±7 days of treatment initiation from 2012 through September 2024. Multinomial regression models assessed the association between socioeconomic status and second-line treatment choices. Additionally, we used the GPT-4 large language model with a zero-shot learning approach to analyze 270 clinical notes from 105 UCSF patients. GPT-4 identified adverse social determinants of health (SDOH) across six domains: transportation, housing, relationships, patients with children, support, and employment.

Results

Among 15,090 patients (56.7% male, 43.3% female; mean age 59.3 years; mean HbA1c 8.91%), second-line treatments included sulfonylureas (SUs; n = 6,732), DPP4 inhibitors (n = 2,918), GLP-1 receptor agonists (n = 2,736), and SGLT2 inhibitors (n = 2,704). Patients from lower socioeconomic neighborhoods were more likely to receive SUs over other medications: DPP4i (OR = 0.96, [95% CI, 0.95-0.98]), GLP-1RA (OR = 0.94, [95% CI, 0.92-0.96]), SGLT2i (OR = 0.95, [95% CI, 0.93-0.97]). In UCSF clinical notes, we identified adverse SDOH including housing (n=8), transportation (n=1), relationships (n=22), employment (n=12), support (n=1), and patients with children (n=25).

Conclusions

Socioeconomic factors influence second-line T2D treatment choices. Addressing these disparities is essential to ensuring equitable access to advanced T2D therapies.

Exploring social vulnerability in National Health Safety Network surgical site infections

OBJECTIVE

To assess the association between social vulnerability index (SVI) and surgical site infections (SSIs) using National Healthcare Safety Network (NHSN) criteria.

DESIGN

Retrospective cohort study between August 1, 2022, and August 31, 2023.

SETTING

In total, 20 acute care hospitals in the Southeast United States.

PATIENTS

Totally, 23,768 total hip arthroplasty, total knee arthroplasty, abdominal hysterectomy, colon, and spinal fusion surgeries in 22,239 patients were included. Procedures with infection present at the time of surgery or incomplete geographic tracking data were excluded.

METHODS

Patient addresses as noted in the electronic health record were geocoded to determine census tract of residence and determine SVI. Demographic and clinical data were linked with SVI scores. SSIs were identified according to NHSN criteria. SVI was categorized into quartiles, and logistic regression was used to evaluate the association between SVI quartile (overall and for each SVI theme) and SSI risk. Subgroup analyses by procedure type and race were performed. Multivariable models of the association between overall SVI and SSI were adjusted for demographic and clinical factors.

RESULTS

Patients in the top SVI quartiles had significantly higher odds of developing SSIs after adjusting for other clinical and demographic factors. Increased risk was found for socioeconomic status and household characteristics themes, but not for the racial/ethnic minority theme. Association between SVI and SSI risk varied by type of surgery.

CONCLUSIONS

Living in an area with a higher SVI is associated with increased SSI risk. Targeted interventions are needed to mitigate these disparities and improve outcomes.

Frailty Screening Using the Risk Analysis Index: A User Guide

The Risk Analysis Index (RAI) has emerged as the most thoroughly validated and flexible assessment of surgical frailty, proven feasible for at-scale bedside screening and available in a suite of tools, that effectively risk stratifies patients across a wide variety of clinical contexts and data sources. This user guide provides a definitive summary of the RAI's theoretical model, historical development, validation, statistical performance, and clinical interpretation, placing the RAI in context with other frailty assessments and emphasizing some of its advantages. Detailed instructions are provided for each RAI variant, along with a systematic review of existing RAI-related literature.

Neighborhood socioeconomic disadvantage does not predict need for manipulation under anesthesia or range of motion following total knee arthroplasty

Background

Studies have linked socioeconomic factors including lower income and minority race with worse functional outcomes following total knee arthroplasty (TKA). Arthrofibrosis is a common complication following TKA, and manipulation under anesthesia (MUA) is an effective treatment option for arthrofibrosis. This study aimed to determine if neighborhood-level socioeconomic disadvantage predicts need for MUA and postoperative range of motion (ROM) among patients undergoing primary elective TKA.

Methods

We performed a retrospective cohort study of primary TKAs performed at a single institution over a three-year duration. Area Deprivation Index (ADI) was used to determine each patient's level of socioeconomic disadvantage based on their home address. Patients were allocated into three groups based on ADI: least socioeconomic disadvantage (ADI 1-3), middle socioeconomic disadvantage (ADI 4-6), and most socioeconomic disadvantage (ADI 7-10). Demographic factors and comorbid conditions were recorded. Bivariate analysis was used to evaluate the relationship between degree of socioeconomic disadvantage and need for MUA and postoperative ROM.

Results

In total, 600 patients were included and 26.7 % were categorized as most disadvantaged. In comparison to the middle and least disadvantaged groups, these patients were more likely to be Women (71.2 vs. 67.9 and 58.6 %; p = 0.027), younger (60.7 vs. 62.9 and 66.3 years; p < 0.001) and have higher BMI (34.9 vs. 33 and 31.7; p < 0.001) (most disadvantaged vs. middle and least). Analysis revealed no difference in rate of MUA (6.3 vs. 2.5 vs. 4 %; p = 0.179) or postoperative ROM (98 vs. 98 vs. 100°; p = 0.753) between the three groups (most, middle, and least disadvantaged, respectively).

Conclusion

Neighborhood socioeconomic disadvantage does not predict rate of MUA or postoperative ROM following TKA. Patients residing in neighborhoods with higher ADI who underwent TKA were more likely to be younger, Women, and have higher BMI, consistent with previous literature. Our results support efforts to improve access to orthopaedic care, including TKA, to patients of all socioeconomic levels.

Timing of Carpal Tunnel Syndrome Treatment Based on Social Deprivation

INTRODUCTION

This study sought to investigate the impact of the area deprivation index (ADI) on the treatment timeline from carpal tunnel syndrome (CTS) to carpal tunnel release (CTR). We hypothesize that increased social deprivation will correlate with increased time between care milestones from presentation to surgery.

METHODS

This is a retrospective review of patients diagnosed with CTS who underwent CTR at a single academic institution. Variables including gender, race, ethnicity, smoking status, medical comorbidities, ADI, timing of visits and surgery, and electrodiagnostic (EDX) studies were collected. The analysis included univariate chi-square tests, ANOVA, and multivariate linear and logistic regressions.

RESULTS

In total, 501 patients were divided by ADI national percentiles from least to most deprived tertiles. Univariate analysis demonstrated increased time from EDX to CTR comparing the least and most deprived tertiles (52 days vs. 95 days). On multivariate analysis, this correlation was no longer significant. Multivariate analysis also revealed a non-significant trend towards least deprived ADI correlating with a trial of corticosteroid injections. Injections prior to surgery correlated with an increased time from EDX to CTR and time from initial presentation to CTR. A diagnosis of severe CTS on EDX correlated with a decreased likelihood of corticosteroid injections.

CONCLUSIONS

Although previous studies have demonstrated mixed outcome results in CTS, we found that social deprivation does not correlate with delays in the treatment timeline. Factors other than delays in the treatment timeline may be contributing to the potentially worse outcomes in CTS patients with greater social deprivation.

Impacts of neighborhood deprivation on septic and aseptic revision total knee arthroplasty outcomes: A comprehensive analysis using the area deprivation index

BACKGROUND

Community deprivation has been linked to poor health outcomes following primary total knee arthroplasty (pTKA), but few studies have explored revision TKA (rTKA). The present study analyzed implications of neighborhood deprivation on rTKA outcomes by characterizing relationships between Area Deprivation Index (ADI) and (1) non-home discharge disposition (DD), (2) hospital length of stay (LOS), (3) 90-day emergency department (ED) visits, (4) 90-day hospital readmissions, and (5) the effect of race on these healthcare outcomes.

METHODS

A total of 1,434 patients who underwent rTKA between January 2016 and June 2022 were analyzed. Associations between the ADI and postoperative healthcare resource utilization outcomes were evaluated using multivariate logistic regression. Mediation effect was estimated using a nonparametric bootstrap resampling method.

RESULTS

Greater ADI was associated with non-home DD (p < 0.001), LOS ≥ 3 days (p < 0.001), 90-day ED visits (p = 0.015), and 90-day hospital readmission (p = 0.002). Although there was no significant difference in ADI between septic and aseptic patients, septic patients undergoing rTKA were more likely to experience non-home discharge (p < 0.001), prolonged LOS (p < 0.001), and 90-day hospital readmission (p = 0.001). The effect of race on non-home DD was found to be mediated via ADI (p = 0.038). Similarly, results showed the effect of race on prolonged LOS was mediated via ADI (p = 0.01).

CONCLUSION

A higher ADI was associated with non-home discharge, prolonged LOS, 90-day ED visits, and 90-day hospital readmissions. The impacts of patient race on both non-home discharge and prolonged LOS were mediated by ADI. This index allows clinicians to better understand and address disparities in rTKA outcomes.

Evaluating chronic disease approaches to ameliorate tobacco-related health disparities: Study protocol of a hybrid type 1 implementation-effectiveness trial

Background

Black, Indigenous, and People of Color (BIPOC) communities experience higher prevalence of cardiovascular disease and related chronic conditions compared to White communities due to disparities in tobacco exposure. Smoking can be effectively treated but evidence-based treatments are less likely to be offered to or used by BIPOC patients. We present the study protocol of the Smoking Cessation Outreach for Racial Equity (SCORE) trial that tests the effect of adding longitudinal care coordination to current standard of care for smoking cessation to promote health equity among BIPOC patients.

Methods

Longitudinal Proactive Outreach (LPO; 4 culturally tailored outreach call cycles over one year by motivational interviewing trained counselors to connect patients to cessation counseling and medication) will be added to the current standard of care, Ask-Advise-Connect (AAC; primary care providers asking all patients if they smoke, and if smoking, advising to quit and connecting to treatment). We will conduct a hybrid type 1 implementation-effectiveness trial to examine the direct effect of AAC + LPO (a multilevel health system intervention) vs. AAC on population-level combustible tobacco abstinence at 18 months and treatment utilization among 2000 BIPOC adults who smoke across two healthcare systems in Minnesota. Participants will be surveyed at 6, 12, and, 18 months post-enrollment to assess outcomes. The primary outcome is biochemically confirmed combustible cigarette abstinence at 18 months.

Discussion

LPO has potential to promote health equity by addressing barriers caused by structural racism, including access to care, care fragmentation, and provider racism, by systematically reaching out to all BIPOC patients who smoke.

Clinicaltrialsgov

NCT05671380.

Exploring Socioeconomic Disparities in Mandibular Trauma: A Retrospective Cohort Analysis of Patient Profiles and Treatment Outcomes

Study Design

Retrospective Chart Review.

Objective

Mandible fracture is a life-altering event, and its complications can have devastating consequences for patients. Patients are therefore well-served if providers can identify their risk factors and engage strategies to reduce complication risk. The present study examines mandible trauma in an urban tertiary hospital serving an economically disadvantaged population.

Methods

This review identified all patients undergoing operative repair of traumatic mandible fractures from January 2015 to December 2020. Patient risk factors, operative technique, and surgical complications (including infection, hardware failure, malunion, and mandible nonunion) were analyzed.

Results

Two hundred and seventy-two patients were identified with mandible fractures; 78.3% of these injuries were related to interpersonal violence; 83.4% of patients were male, and 55.5% were African American. Based on multivariable logistic regression models, increased rates of postoperative complications were observed in patients with increasing Area Deprivation Index (Odds Ratio 1.02), mandible body fracture (OR 3.11), tobacco use disorder (OR 3.75), history of hepatitis C infection (OR 7.35), and discharge to drug and alcohol rehabilitation (OR 23.42).

Conclusions

For providers treating patients with mandible fractures, the effects of comorbid substance use-including tobacco use-and inadequate discharge disposition (a reflection of financial means and insurance status) should be identified early, and steps to mitigate their consequences should be taken. Providers must recognize that patients with these comorbidities require more patience, support, and attention than patients without these risk factors. Increased engagement with multidisciplinary services such as psychiatry, addiction medicine, primary care, and social work may improve outcomes for these vulnerable patients.

Impact of Social Deprivation on Cubital Tunnel Syndrome Treatment Timeline

Purpose

The purpose of this study was to establish the impact of area deprivation index (ADI) on treatment timelines of patients with cubital tunnel syndrome (CuTS). We hypothesize that increased social deprivation will correlate with increased time between care milestones from presentation to surgery.

Methods

This is a retrospective study of patients diagnosed with CuTS who underwent surgical intervention at a single academic institution. Variables including age, sex, body mass index, ADI, electrodiagnostic (EDX) severity classification, and time elapsed between treatment milestones were obtained. Treatment milestones included time elapsed between initial presentation to hand surgery and EDX studies, and surgery. Analysis included univariate χ2 tests and analysis of variance, as well as multivariate linear and logistic regressions.

Results

Six hundred and fifty-three patients were divided by ADI national percentiles from the least to most deprived tertiles. Univariate analysis found no differences in care timelines across ADI tertiles. Multivariate analysis revealed a nonsignificant trend toward higher ADI predicting longer time from presentation to surgery. Moderate EDX rating correlated with increased time from presentation to surgery. Mild EDX ratings correlate with increased time from EDX studies to surgery. Age was a significant predictor of decreased time between initial presentation and surgery and between EDX and surgery. Completion of EDX studies prior to presentation significantly decreased time to surgery.

Conclusions

Social deprivation does not significantly correlate with delays in the treatment timeline for CuTS. Increased age was significantly correlated with shorter treatment timelines, which may reflect differences in physicians' approaches to patients of different ages. Electrodiagnostic testing obtained prior to initial presentation expedited care following presentation to hand clinic. However, this could reflect either an overall delay in care (if EDX were obtained because of a delay from referral to presentation) or truly expedited care.

Type of study/level of evidence

Prognostic II.

Development of a prediction model for 30-day COVID-19 hospitalization and death in a national cohort of Veterans Health Administration patients-March 2022-April 2023

OBJECTIVE

The epidemiology of COVID-19 has substantially changed since its emergence given the availability of effective vaccines, circulation of different viral variants, and re-infections. We aimed to develop models to predict 30-day COVID-19 hospitalization and death in the Omicron era for contemporary clinical and research applications.

METHODS

We used comprehensive electronic health records from a national cohort of patients in the Veterans Health Administration (VHA) who tested positive for SARS-CoV-2 between March 1, 2022, and March 31, 2023. Full models incorporated 84 predictors, including demographics, comorbidities, and receipt of COVID-19 vaccinations and anti-SARS-CoV-2 treatments. Parsimonious models included 19 predictors. We created models for 30-day hospitalization or death, 30-day hospitalization, and 30-day all-cause mortality. We used the Super Learner ensemble machine learning algorithm to fit prediction models. Model performance was assessed with the area under the receiver operating characteristic curve (AUC), Brier scores, and calibration intercepts and slopes in a 20% holdout dataset.

RESULTS

Models were trained and tested on 198,174 patients, of whom 8% were hospitalized or died within 30 days of testing positive. AUCs for the full models ranged from 0.80 (hospitalization) to 0.91 (death). Brier scores were close to 0, with the lowest error in the mortality model (Brier score: 0.01). All three models were well calibrated with calibration intercepts <0.23 and slopes <1.05. Parsimonious models performed comparably to full models.

CONCLUSIONS

We developed prediction models that accurately estimate COVID-19 hospitalization and mortality risk following emergence of the Omicron variant and in the setting of COVID-19 vaccinations and antiviral treatments. These models may be used for risk stratification to inform COVID-19 treatment and to identify high-risk patients for inclusion in clinical trials.

Neighborhood-level Disparities in Achievement of Social Continence Among School-aged Children With Anorectal Malformations: A Single-center Retrospective Study

BACKGROUND

Fecal incontinence is a common problem for children with repaired anorectal malformations (ARM) and has significant implications for initiating school. While sex, anatomy, and medical comorbidities are known to influence continence outcomes, the impact of socioeconomic factors and neighborhood-level disadvantage are less well understood.

METHODS

We performed a single-center retrospective review of all school-aged (5-18 years) children with ARM at a longitudinal pediatric surgery clinic. Demographic, clinical, and socioeconomic variables were abstracted via chart review and geocoding was performed to obtain Area Deprivation Index (ADI) and Social Vulnerability Index (SVI) scores. Statistical analyses assessed for associations between the primary outcome of social continence (defined as no diaper usage and infrequent fecal accidents at age 5) and these variables.

RESULTS

72 patients were included; of these, 45.8% were socially continent. On bivariate analysis, social continence was significantly associated with state ADI score as well as the SVI Housing characteristics score. These associations remained significant when adjusting for sex and medical comorbidities in separate multiple logistic regression models.

CONCLUSION

The relative disadvantage of the neighborhood in which a child with ARM lives may play a role in their ability to achieve continence by school age. Efforts are warranted to identify and develop targeted interventions to for this pediatric population.

LEVEL OF EVIDENCE

IV.

Neighborhood Deprivation is Associated With Increased Postoperative Complications After Implant-Based Breast Reconstruction

PURPOSE

The Area Deprivation Index (ADI) ranks neighborhoods by deprivation based on US Census data. This study utilizes ADI scores to investigate the impact of neighborhood deprivation on complication rates following breast reconstruction.

PATIENTS AND METHODS

Patients who received implant-based reconstruction from 2019 to 2023 were identified at a single institution in New York. Patients were linked to a state-specific ADI score and categorized into groups: "High ADI" (6-10) and "Low ADI" (1-5). Patient characteristics and complication rates were compared between the ADI groups with Chi-Square analysis and t-tests. The predictive value of ADI scores on complication rates was assessed using logistic regression models.

RESULTS

In total, 471 patients were included, of which 16% (n = 73) were in the High ADI group, and 84% (n = 398) were in the Low ADI group. There were no baseline differences between the 2 groups, except that there were more patients of Hispanic descent in the High ADI group (30% vs. 15%, P < .01). The High ADI group had a higher overall complication rate than the Low ADI group (34% vs. 21%, P < .01), as well as higher individual rates of hematoma (12% vs. 3%, P < .01) and unexpected reoperations (18% vs. 7%, P < .01). After adjusting for differences in race, High ADI scores predicted hematoma, reoperations, and any complication (P < .05).

CONCLUSION

Patients living in neighborhoods with high ADI had a higher incidence of postoperative complications, independent of comorbidities and race. This measure of disparity should be considered when counselling patients about their risk of complications following procedures like implant-based breast reconstruction.

Assessing the impact of socioeconomic distress on hospital readmissions after cardiac surgery

Background

The impact of socioeconomic distress on readmission rates following cardiac surgery has not been studied. We hypothesized that patients living in distressed communities would have a higher 30-day readmission rate after cardiac surgery compared to those living in less distressed communities.

Methods

Patients undergoing isolated coronary artery bypass grafting (CABG) between 2016 and 2023 within a regional collaborative were identified. The Distressed Communities Index (DCI) and Area Deprivation Index (ADI) were used to measure socioeconomic distress. Two logistic regression models were performed to evaluate 30-day readmission rates: one incorporating ADI and the other including DCI. Models were adjusted for the Society of Thoracic Surgeons (STS) Predicted Risk of Mortality (PROM) score, postoperative complications, length of stay (LOS), year of surgery, and discharge disposition.

Results

A total of 16,369 patients were included, of whom 10% were readmitted within 30 days of discharge. Readmitted patients were more likely to be female (32% vs 23.3%) and to develop postoperative complications (47% vs 35%) and less likely to be discharged to home (70.6% vs 83.5%; P < .001 for all). On multivariable analysis, STS PROM score, postoperative complications, prolonged LOS, and discharge to a facility or leaving against medical advice were predictive of higher readmission rates. Socioeconomic distress was not an independent predictor of readmission in the model that used DCI (odds ratio [OR], 0.93; 95% confidence interval [CI], 0.76-1.15) or in the model that used ADI (OR, 1.17; 95% CI, 0.83-1.64).

Conclusions

In patients undergoing CABG, increasing socioeconomic distress does not predict higher 30-day readmission rate. Other factors, such as discharge location, have a greater impact on readmission rate.

The relationship between neighborhood socioeconomic status and short-term outcomes following colon resection

BACKGROUND

This study investigates the association between neighborhood socioeconomic status, measured by the Distressed Communities Index (DCI), and short-term outcomes following colon resection.

METHODS

Utilizing the Maryland State Inpatient Sample database (SID 2018-2020), we determined the association between DCI and post-op outcomes following colon resection including length of stay, readmissions, 30-day in-hospital mortality, and non-routine discharges. Multivariate regression analysis was performed to control for potential confounding factors.

RESULTS

Of the 13,839 patients studied, median age was 63, with 54.3 ​% female and 64.5 ​% elective admissions. Laparoscopic surgery was performed in 36.9 ​% cases, with a median hospital stay of 5 days. Patients in distressed communities faced higher risks of emergency admission (OR: 1.31), prolonged hospitalization (OR: 1.29), non-routine discharges (OR: 1.36), and readmission (OR: 1.33). Black patients had longer stays than White patients (OR: 1.3). Despite adjustments, in-hospital mortality did not significantly differ among neighborhoods.

CONCLUSION

Our study reveals that patients residing in distressed neighborhoods face a higher risk of prolonged hospitalization, non-routine discharges, and readmission rate after colon resection.

The Impact of Neighborhood and Socioeconomic Disparities on Distal Radius Fracture Follow-Up Adherence

BACKGROUND

The aims of this retrospective cohort study were (1) to assess whether the Area Deprivation Index (ADI), a novel neighborhood-level socioeconomic disparities metric, is associated with follow-up nonadherence, and (2) to determine the individual-level socioeconomic factors associated with follow-up nonadherence after treatment of distal radius fractures (DRFs).

METHODS

The authors included all patients who underwent nonoperative or operative management of DRFs at an academic level I trauma center between 2019 and 2021. A manual chart review was performed to collect data on ADI, sociodemographic factors, injury characteristics, conservative and surgical interventions, and health care utilization.

RESULTS

There was a significant weak negative Spearman-ranked correlation between ADI state deciles and clinic attendance rates ( rs [220] = -0.144 [95% CI, -0.274 to -0.009]; P = 0.032). Socioeconomic factors associated with significant differences in clinic attendance rates were having a spouse or partner (protective) ( P = 0.007), Medicaid insurance ( P = 0.013), male sex ( P = 0.023), and current smoking ( P = 0.026). Factors associated with differences in no-show rates were having a spouse or partner (odds ratio [OR], 0.326 [95% CI, 0.123 to 0.867]; P = 0.025), Medicaid insurance (OR, 7.78 [95% CI, 2.15 to 28.2]; P = 0.002), male sex (OR, 4.09 [95% CI, 1.72 to 9.74]; P = 0.001), and cigarette use (OR, 5.07 [95% CI, 1.65 to 15.6]; P = 0.005).

CONCLUSIONS

ADI has a weak, negative correlation with clinic attendance rates after DRF treatment. Significant disparities in clinic follow-up adherence exist between patients on the basis of marital status, insurance, sex, and cigarette use.

CLINICAL QUESTION/LEVEL OF EVIDENCE

Risk, III.

Roles of Hospital Type and Community Setting in Rate of Screening for Metabolic Disorders Among Psychiatric Patients

OBJECTIVE

Globally, rates of metabolic disorders continue to climb, leading to significant disease morbidity and mortality. Individuals with mental illness are particularly prone to obesity, and some medications, such as antipsychotics, may increase the risk for metabolic disorders. The American Psychiatric Association and the American Diabetes Association recommend that patients taking antipsychotic medications receive regular screening for metabolic disorders. This study examined hospital and community factors associated with screening these patients for such disorders.

METHODS

The authors combined Centers for Medicare and Medicaid Services (CMS) hospital-level data on screening for metabolic disorders among patients with an antipsychotic prescription with community data, including urbanization classification, social vulnerability, and metabolic disease presence and risk factors. Data were merged at the county level and evaluated with a nonparametric multivariate regression model.

RESULTS

The CMS data set included 1,497 U.S. hospitals with data on screening for metabolic disorders among patients with an antipsychotic prescription. Screening rates varied by type of facility; acute care and critical access hospitals outperformed freestanding psychiatric facilities (p<0.001). No other variables examined in the multivariate model were associated with screening for metabolic disorders.

CONCLUSIONS

Despite common resource limitations, screening for metabolic disorders may be driven more by logistics and less by time, finances, or a community's primary care network. Identifying the specific logistical challenges of freestanding psychiatric facilities could aid in the development of targeted interventions to improve the rates of screening for and treatment of not only metabolic disorders but also other common comorbid conditions.

Care Fragmentation, Social Determinants of Health, and Postoperative Mortality in Older Veterans

INTRODUCTION

Veterans Affairs Surgical Quality Improvement Program (VASQIP) benchmarking algorithms helped the Veterans Health Administration (VHA) reduce postoperative mortality. Despite calls to consider social risk factors, these algorithms do not adjust for social determinants of health (SDoH) or account for services fragmented between the VHA and the private sector. This investigation examines how the addition of SDoH change model performance and quantifies associations between SDoH and 30-d postoperative mortality.

METHODS

VASQIP (2013-2019) cohort study in patients ≥65 y old with 2-30-d inpatient stays. VASQIP was linked to other VHA and Medicare/Medicaid data. 30-d postoperative mortality was examined using multivariable logistic regression models, adjusting first for clinical variables, then adding SDoH.

RESULTS

In adjusted analyses of 93,644 inpatient cases (97.7% male, 79.7% non-Hispanic White), higher proportions of non-veterans affairs care (adjusted odds ratio [aOR] = 1.02, 95% CI = 1.01-1.04) and living in highly deprived areas (aOR = 1.15, 95% CI = 1.02-1.29) were associated with increased postoperative mortality. Black race (aOR = 0.77, CI = 0.68-0.88) and rurality (aOR = 0.87, CI = 0.79-0.96) were associated with lower postoperative mortality. Adding SDoH to models with only clinical variables did not improve discrimination (c = 0.836 versus c = 0.835).

CONCLUSIONS

Postoperative mortality is worse among Veterans receiving more health care outside the VA and living in highly deprived neighborhoods. However, adjusting for SDoH is unlikely to improve existing mortality-benchmarking models. Reduction efforts for postoperative mortality could focus on alleviating care fragmentation and designing care pathways that consider area deprivation. The adjusted survival advantage for rural and Black Veterans may be of interest to private sector hospitals as they attempt to alleviate enduring health-care disparities.

Impact of patient demographics and neighborhood socioeconomic variables on clinical trial participation patterns for NHL

ABSTRACT

Prior studies have demonstrated that certain populations including older patients, racial/ethnic minority groups, and women are underrepresented in clinical trials. We performed a retrospective analysis of patients with non-Hodgkin lymphoma (NHL) seen at MD Anderson Cancer Center (MDACC) to investigate the association between trial participation, race/ethnicity, travel distance, and neighborhood socioeconomic status (nSES). Using patient addresses, we ascertained nSES variables on educational attainment, income, poverty, racial composition, and housing at the census tract (CT) level. We also performed geospatial analysis to determine the geographic distribution of clinical trial participants and distance from patient residence to MDACC. We examined 3146 consecutive adult patients with NHL seen between January 2017 and December 2020. The study cohort was predominantly male and non-Hispanic White (NHW). The most common insurance types were private insurance and Medicare; only 1.1% of patients had Medicaid. There was a high overall participation rate of 30.5%, with 20.9% enrolled in therapeutic trials. In univariate analyses, lower participation rates were associated with lower nSES including higher poverty rates and living in crowded households. Racial composition of CT was not associated with differences in trial participation. In multivariable analysis, trial participation varied significantly by histology, and participation declined nonlinearly with age in the overall, follicular lymphoma, and diffuse large B-cell lymphoma (DLBCL) models. In the DLBCL subset, Hispanic patients had lower odds of participation than White patients (odds ratio, 0.36; 95% confidence interval, 0.21-0.62; P = .001). In our large academic cohort, race, sex, insurance type, and nSES were not associated with trial participation, whereas age and diagnosis were.

Synergistic effects of social determinants of health and race-ethnicity on 30-day all-cause readmission disparities: a retrospective cohort study

OBJECTIVE

The objective of this study is to assess the effects of social determinants of health (SDOH) and race-ethnicity on readmission and to investigate the potential for geospatial clustering of patients with a greater burden of SDOH that could lead to a higher risk of readmission.

DESIGN

A retrospective study of inpatients at five hospitals within Henry Ford Health (HFH) in Detroit, Michigan from November 2015 to December 2018 was conducted.

SETTING

This study used an adult inpatient registry created based on HFH electronic health record data as the data source. A subset of the data elements in the registry was collected for data analyses that included readmission index, race-ethnicity, six SDOH variables and demographics and clinical-related variables.

PARTICIPANTS

The cohort was composed of 248 810 admission patient encounters with 156 353 unique adult patients between the study time period. Encounters were excluded if they did not qualify as an index admission for all payors based on the Centers for Medicare and Medicaid Service definition.

MAIN OUTCOME MEASURE

The primary outcome was 30-day all-cause readmission. This binary index was identified based on HFH internal data supplemented by external validated readmission data from the Michigan Health Information Network.

RESULTS

Race-ethnicity and all SDOH were significantly associated with readmission. The effect of depression on readmission was dependent on race-ethnicity, with Hispanic patients having the strongest effect in comparison to either African Americans or non-Hispanic whites. Spatial analysis identified ZIP codes in the City of Detroit, Michigan, as over-represented for individuals with multiple SDOH.

CONCLUSIONS

There is a complex relationship between SDOH and race-ethnicity that must be taken into consideration when providing healthcare services. Insights from this study, which pinpoint the most vulnerable patients, could be leveraged to further improve existing models to predict risk of 30-day readmission for individuals in future work.

Neighborhood socioeconomic disadvantages associated with increased rates of revisions, readmissions, and complications after total joint arthroplasty

INTRODUCTION

Low socioeconomic status based on neighborhood of residence has been suggested to be associated with poor outcomes after total joint arthroplasty (TJA). The area deprivation index (ADI) is a scale that ranks (zero to 100) neighborhoods by increasing socioeconomic disadvantage and accounts for median income, housing type, and family structure. We sought to examine the potential differences between high (national median ADI = 47) and low ADI among TJA recipients at a single institution. Specifically, we assessed: (1) 30-day emergency department visits/readmissions; (2) 90-day and 1-year revisions; as well as (3) medical and surgical complications.

METHODS

A consecutive series of primary TJAs from September 21, 2015, through December 29, 2021, at a tertiary healthcare system were reviewed. A total of 3,024 patients who had complete ADI data were included. Patients were divided into groups below the national median ADI of 47 (n = 1,896) and above (n = 1,128). Multivariable regressions to determine independent risk factors accounting for ADI, race, age, sex, American Society of Anesthesiologists Classification grade, body mass index, diabetes, congestive heart failure (CHF), chronic obstructive pulmonary disease, hypertension, chronic kidney disease, alcohol abuse, substance abuse, and tobacco use. The primary outcomes of interest include evaluation of the independent association of ADI with total postoperative complications (at 30 days, 90 days, and 1 year) after adjusting for multiple relevant cofactors.

RESULTS

After adjusting for multiple relevant cofactors, at 90 days, ADI > 47 (OR, 1.36, 95% CI 1.00-1.83, P = 0.04), men versus women (OR, 0.73, 95% CI 0.54-0.99, P = 0.039), and CHF (OR, 1.90, 95% CI 1.18-3.06, P = 0.009) were independently associated with increased total complications. The ADI was not associated with increased total complications at 30 days or 1-year (All P > 0.05).

CONCLUSION

Our findings of higher complications of the ADI > 47 cohort at 90 days, reaffirm the complex relationship between ADI, patient demographics, and additional socioeconomic parameters that may influence postoperative outcomes and complications after TJA. This study utilizing ADI demonstrates potential areas of intervention and further investigation for assessing arthroplasty outcomes.

Financial hardship and neighborhood socioeconomic disadvantage in long-term childhood cancer survivors

BACKGROUND

Long-term survivors of childhood cancer face elevated risk for financial hardship. We evaluate whether childhood cancer survivors live in areas of greater deprivation and the association with self-reported financial hardships.

METHODS

We performed a cross-sectional analysis of data from the Childhood Cancer Survivor Study between 1970 and 1999 and self-reported financial information from 2017 to 2019. We measured neighborhood deprivation with the Area Deprivation Index (ADI) based on current zip code. Financial hardship was measured with validated surveys that captured behavioral, material and financial sacrifice, and psychological hardship. Bivariate analyses described neighborhood differences between survivors and siblings. Generalized linear models estimated effect sizes between ADI and financial hardship adjusting for clinical factors and personal socioeconomic status.

RESULTS

Analysis was restricted to 3475 long-term childhood cancer survivors and 923 sibling controls. Median ages at time of evaluation was 39 years (interquartile range [IQR] = 33-46 years and 47 years (IQR = 39-59 years), respectively. Survivors resided in areas with greater deprivation (ADI ≥ 50: 38.7% survivors vs 31.8% siblings; P < .001). One quintile increases in deprivation were associated with small increases in behavioral (second quintile, P = .017) and psychological financial hardship (second quintile, P = .009; third quintile, P = .014). Lower psychological financial hardship was associated with individual factors including greater household income (≥$60 000 income, P < .001) and being single (P = .048).

CONCLUSIONS

Childhood cancer survivors were more likely to live in areas with socioeconomic deprivation. Neighborhood-level disadvantage and personal socioeconomic circumstances should be evaluated when trying to assist childhood cancer survivors with financial hardships.

Presentation Acuity and Surgical Outcomes for Patients With Health Insurance Living in Highly Deprived Neighborhoods

Importance

Insurance coverage expansion has been proposed as a solution to improving health disparities, but insurance expansion alone may be insufficient to alleviate care access barriers.

Objective

To assess the association of Area Deprivation Index (ADI) with postsurgical textbook outcomes (TO) and presentation acuity for individuals with private insurance or Medicare.

Design, Setting, and Participants

This cohort study used data from the National Surgical Quality Improvement Program (2013-2019) merged with electronic health record data from 3 academic health care systems. Data were analyzed from June 2022 to August 2023.

Exposure

Living in a neighborhood with an ADI greater than 85.

Main Outcomes and Measures

TO, defined as absence of unplanned reoperations, Clavien-Dindo grade 4 complications, mortality, emergency department visits/observation stays, and readmissions, and presentation acuity, defined as having preoperative acute serious conditions (PASC) and urgent or emergent cases.

Results

Among a cohort of 29 924 patients, the mean (SD) age was 60.6 (15.6) years; 16 424 (54.9%) were female, and 13 500 (45.1) were male. A total of 14 306 patients had private insurance and 15 618 had Medicare. Patients in highly deprived neighborhoods (5536 patients [18.5%]), with an ADI greater than 85, had lower/worse odds of TO in both the private insurance group (adjusted odds ratio [aOR], 0.87; 95% CI, 0.76-0.99; P = .04) and Medicare group (aOR, 0.90; 95% CI, 0.82-1.00; P = .04) and higher odds of PASC and urgent or emergent cases. The association of ADIs greater than 85 with TO lost significance after adjusting for PASC and urgent/emergent cases. Differences in the probability of TO between the lowest-risk (ADI ≤85, no PASC, and elective surgery) and highest-risk (ADI >85, PASC, and urgent/emergent surgery) scenarios stratified by frailty were highest for very frail patients (Risk Analysis Index ≥40) with differences of 40.2% and 43.1% for those with private insurance and Medicare, respectively.

Conclusions and Relevance

This study found that patients living in highly deprived neighborhoods had lower/worse odds of TO and higher presentation acuity despite having private insurance or Medicare. These findings suggest that insurance coverage expansion alone is insufficient to overcome health care disparities, possibly due to persistent barriers to preventive care and other complex causes of health inequities.

Social vulnerability is associated with higher risk-adjusted rates of postoperative complications in a broad surgical population

OBJECTIVE

The purpose of this study was to determine if an association between Social Vulnerability Index (SVI) and risk-adjusted complications exists in a broad spectrum of surgical patients.

SUMMARY BACKGROUND DATA

Growing evidence supports the impact of social circumstances on surgical outcomes. SVI is a neighborhood-based measure accounting for sociodemographic factors putting communities at risk.

METHODS

This was a multi-hospital, retrospective cohort study including a sample of patients within one healthcare system (2012-2017). Patient addresses were geocoded to determine census tract of residence and estimate SVI. Patients were grouped into low SVI (score<75) and high SVI (score≥75) cohorts. Perioperative variables and postoperative outcomes were tracked and compared using local ACS-NSQIP data. Multivariable logistic regression was performed to generate risk-adjusted odds ratios of postoperative complications in the high SVI cohort.

RESULTS

Overall, 31,224 patients from five hospitals were included. Patients with high SVI were more likely to be racial minorities, have 12/18 medical comorbidities, have high ASA class, be functionally dependent, be treated at academic hospitals, and undergo emergency operations (all p ​< ​0.05). Patients with high SVI had significantly higher rates of 30-day mortality, overall morbidity, respiratory, cardiac and infectious complications, urinary tract infections, postoperative bleeding, non-home discharge, and unplanned readmissions (all p ​< ​0.05). After risk-adjustment, only the associations between high SVI and mortality and unplanned readmission became non-significant.

CONCLUSIONS

High SVI was associated with multiple adverse outcomes even after risk adjustment for preoperative clinical factors. Targeted preventative interventions to mitigate risk of these specific complications should be considered in this high-risk population.

A Surgical Desirability of Outcome Ranking (DOOR) Reveals Complex Relationships Between Race/Ethnicity, Insurance Type, and Neighborhood Deprivation

OBJECTIVE

Develop an ordinal Desirability of Outcome Ranking (DOOR) for surgical outcomes to examine complex associations of Social Determinants of Health.

BACKGROUND

Studies focused on single or binary composite outcomes may not detect health disparities.

METHODS

Three health care system cohort study using NSQIP (2013-2019) linked with EHR and risk-adjusted for frailty, preoperative acute serious conditions (PASC), case status and operative stress assessing associations of multilevel Social Determinants of Health of race/ethnicity, insurance type (Private 13,957; Medicare 15,198; Medicaid 2835; Uninsured 2963) and Area Deprivation Index (ADI) on DOOR and the binary Textbook Outcomes (TO).

RESULTS

Patients living in highly deprived neighborhoods (ADI>85) had higher odds of PASC [adjusted odds ratio (aOR)=1.13, CI=1.02-1.25, P <0.001] and urgent/emergent cases (aOR=1.23, CI=1.16-1.31, P <0.001). Increased odds of higher/less desirable DOOR scores were associated with patients identifying as Black versus White and on Medicare, Medicaid or Uninsured versus Private insurance. Patients with ADI>85 had lower odds of TO (aOR=0.91, CI=0.85-0.97, P =0.006) until adjusting for insurance. In contrast, patients with ADI>85 had increased odds of higher DOOR (aOR=1.07, CI=1.01-1.14, P <0.021) after adjusting for insurance but similar odds after adjusting for PASC and urgent/emergent cases.

CONCLUSIONS

DOOR revealed complex interactions between race/ethnicity, insurance type and neighborhood deprivation. ADI>85 was associated with higher odds of worse DOOR outcomes while TO failed to capture the effect of ADI. Our results suggest that presentation acuity is a critical determinant of worse outcomes in patients in highly deprived neighborhoods and without insurance. Including risk adjustment for living in deprived neighborhoods and urgent/emergent surgeries could improve the accuracy of quality metrics.

Association of Neighborhood Disadvantage with Short- and Long-Term Outcomes After Pancreatectomy for Pancreatic Ductal Adenocarcinoma

BACKGROUND

While lower socioeconomic status has been shown to correlate with worse outcomes in cancer care, data correlating neighborhood-level metrics with outcomes are scarce. We aim to explore the association between neighborhood disadvantage and both short- and long-term postoperative outcomes in patients undergoing pancreatectomy for pancreatic ductal adenocarcinoma (PDAC).

PATIENTS AND METHODS

We retrospectively analyzed 243 patients who underwent resection for PDAC at a single institution between 1 January 2010 and 15 September 2021. To measure neighborhood disadvantage, the cohort was divided into tertiles by Area Deprivation Index (ADI). Short-term outcomes of interest were minor complications, major complications, unplanned readmission within 30 days, prolonged hospitalization, and delayed gastric emptying (DGE). The long-term outcome of interest was overall survival. Logistic regression was used to test short-term outcomes; Cox proportional hazards models and Kaplan-Meier method were used for long-term outcomes.

RESULTS

The median ADI of the cohort was 49 (IQR 32-64.5). On adjusted analysis, the high-ADI group demonstrated greater odds of suffering a major complication (odds ratio [OR], 2.78; 95% confidence interval [CI], 1.26-6.40; p = 0.01) and of an unplanned readmission (OR, 3.09; 95% CI, 1.16-9.28; p = 0.03) compared with the low-ADI group. There were no significant differences between groups in the odds of minor complications, prolonged hospitalization, or DGE (all p > 0.05). High ADI did not confer an increased hazard of death (p = 0.63).

CONCLUSIONS

We found that worse neighborhood disadvantage is associated with a higher risk of major complication and unplanned readmission after pancreatectomy for PDAC.

Area Deprivation Index Predicts Mortality for Critically Ill Surgical Patients With Sepsis

Background: The impact of socioeconomic status on outcomes after sepsis has been challenging to define, and no polysocial metric has been shown to predict mortality in sepsis. The primary objective of this study was to evaluate the association between the Area Deprivation Index (ADI) and mortality in patients admitted to the surgical intensive care unit (SICU) with sepsis. Patients and Methods: All patients admitted to the SICU with sepsis (Sequential Organ Failure Assessment [SOFA] score ≥2) were retrospectively reviewed. The ADI scores were obtained and classified as "high ADI" (≥85th percentile, n = 400, representative of high socioeconomic deprivation) and "control ADI" (ADI <85th percentile, n = 976). Baseline demographic and clinical characteristics were compared between groups. The primary outcome was 90-day mortality. Results: High ADI patients were younger (mean age 58.5 vs. 60.8; p = 0.01) and more likely to be non-white (23.7% vs. 10.0%; p < 0.0005) and to present with chronic obstructive pulmonary disease (26.5% vs. 19.0%; p = 0.002). High ADI patients had increased in-hospital (27.3% vs. 21.6%; p = 0.025) and 90-day mortality (35.0% vs. 28.9%; p = 0.03). High ADI patients also had increased rates of renal failure (20.3% vs. 15.3%; p = 0.02). Both cohorts had similar intensive care unit (ICU) lengths of stay and median hospital stay, Charlson comorbidity index, and rate of discharge to home. High ADI is an independent risk factor for 90-day mortality after admission for surgical sepsis (odds ratio [OR], 1.39 ± 0.24; p = 0.014). Conclusions: High ADI is an independent predictor of 90-day mortality in patients with surgical sepsis. Targeted community interventions are needed to reduce sepsis mortality for these at-risk patients.

Sociocultural and Demographic Factors Predict Readmissions for General Surgery Patients

INTRODUCTION

Readmission is a poor outcome for both patients and healthcare systems. The association of certain sociocultural and demographic characteristics with likelihood of readmission is uncertain in general surgical patients.

METHOD

A multi-centre retrospective cohort study of consecutive unique individuals who survived to discharge during general surgical admissions was conducted. Sociocultural and demographic variables were evaluated alongside clinical parameters (considered both as raw values and their proportion of change in the 1-2 days prior to admission) for their association with 7 and 30 days readmission using logistic regression.

RESULTS

There were 12,701 individuals included, with 304 (2.4%) individuals readmitted within 7 days, and 921 (7.3%) readmitted within 30 days. When incorporating absolute values of clinical parameters in the model, age was the only variable significantly associated with 7-day readmission, and primary language and presence of religion were the only variables significantly associated with 30-day readmission. When incorporating change in clinical parameters between the 1-2 days prior to discharge, primary language and religion were predictive of 30-day readmission. When controlling for changes in clinical parameters, only higher comorbidity burden (represented by higher Charlson comorbidity index score) was associated with increased likelihood of 30-day readmission.

CONCLUSIONS

Sociocultural and demographic patient factors such as primary language, presence of religion, age, and comorbidity burden predict the likelihood of 7 and 30-day hospital readmission after general surgery. These findings support early implementation a postoperative care model that integrates all biopsychosocial domains across multiple disciplines of healthcare.

The Impact of Neighborhood Socioeconomic Disadvantage on Operative Outcomes after Single-Level Lumbar Fusion

INTRODUCTION

The relationship between socioeconomic status and neurosurgical outcomes has been investigated with respect to insurance status or median household income, but few studies have considered more comprehensive measures of socioeconomic status. This study examines the relationship between Area Deprivation Index (ADI), a comprehensive measure of neighborhood socioeconomic disadvantage, and short-term postoperative outcomes after lumbar fusion surgery.

METHODS

1861 adult patients undergoing single-level, posterior-only lumbar fusion at a single, multihospital academic medical center were retrospectively enrolled. An ADI matching protocol was used to identify each patient's 9-digit zip code and the zip code-associated ADI data. Primary outcomes included 30- and 90-day readmission, emergency department visits, reoperation, and surgical complication. Coarsened exact matching was used to match patients on key demographic and baseline characteristics known to independently affect neurosurgical outcomes. Odds ratios (ORs) were computed to compare patients in the top 10% of ADI versus lowest 40% of ADI.

RESULTS

After matching (n = 212), patients in the highest 10% of ADI (compared to the lowest 40% of ADI) had significantly increased odds of 30- and 90-day readmission (OR = 5.00, P < 0.001 and OR = 4.50, P < 0.001), ED visits (OR = 3.00, P = 0.027 and OR = 2.88, P = 0.007), and reoperation (OR = 4.50, P = 0.039 and OR = 5.50, P = 0.013). There was no significant association with surgical complication (OR = 0.50, P = 0.63).

CONCLUSIONS

Among otherwise similar patients, neighborhood socioeconomic disadvantage (measured by ADI) was associated with worse short-term outcomes after single-level, posterior-only lumbar fusion. There was no significant association between ADI and surgical complications, suggesting that perioperative complications do not explain the socioeconomic disparities in outcomes.

Race, Class, and Place Modify Mortality Rates for the Leading Causes of Death in the United States, 1999-2021

BACKGROUND

Race and ethnicity, socioeconomic class, and geographic location are well-known social determinants of health in the US. Studies of population mortality often consider two, but not all three of these risk factors.

OBJECTIVES

To disarticulate the associations of race (whiteness), class (socioeconomic status), and place (county) with risk of cause-specific death in the US.

DESIGN

We conducted a retrospective analysis of death certificate data. Bayesian regression models, adjusted for age and race/ethnicity from the American Community Survey and the county Area Deprivation Index, were used for inference.

MAIN MEASURES

County-level mortality for 11 leading causes of death (1999-2019) and COVID-19 (2020-2021).

KEY RESULTS

County "whiteness" and socioeconomic status modified death rates; geospatial effects differed by cause of death. Other factors equal, a 20% increase in county whiteness was associated with 5-8% increase in death from three causes and 4-15% reduction in death from others, including COVID-19. Other factors equal, advantaged counties had significantly lower death rates, even when juxtaposed with disadvantaged ones. Patterns of residual risk, measured by spatial county effects, varied by cause of death; for example: cancer and heart disease death rates were better explained by age, socioeconomic status, and county whiteness than were COVID-19 and suicide deaths.

CONCLUSIONS

There are important independent contributions from race, class, and geography to risk of death in the US.

Ensuring Safety While Achieving Beauty: An Evidence-Based Approach to Optimizing Mastectomy and Autologous Breast Reconstruction Outcomes in Patients with Obesity

BACKGROUND

Although obesity has previously been associated with poor outcomes after mastectomy and breast reconstruction, its impact across the WHO obesity classification spectrum and the differential effects of various optimization strategies on patient outcomes have yet to be delineated. We sought to examine the impact of WHO obesity classification on intraoperative surgical and medical complications, postoperative surgical and patient-reported outcomes of mastectomy and autologous breast reconstruction, and delineate outcomes optimization strategies for obese patients.

STUDY DESIGN

This is a review of consecutive patients who underwent mastectomy and autologous breast reconstruction from 2016 to 2022. Primary outcomes were complication rates. Secondary outcomes were patient-reported outcomes and optimal management strategies.

RESULTS

We identified 1,640 mastectomies and reconstructions in 1,240 patients with mean follow-up of 24.2 ± 19.2 months. Patients with class II/III obesity had higher adjusted risk of wound dehiscence (odds ratio [OR] 3.20; p < 0.001), skin flap necrosis (OR 2.60; p < 0.001), deep venous thrombosis (OR 3.90; p < 0.033), and pulmonary embolism (OR 15.3; p = 0.001) than nonobese patients. Obese patients demonstrated significantly lower satisfaction with breasts (67.3 ± 27.7 vs 73.7 ± 24.0; p = 0.043) and psychological well-being (72.4 ± 27.0 vs 82.0 ± 20.8; p = 0.001) than nonobese patients. Unilateral delayed reconstructions were associated with independently shorter hospital stay (β -0.65; p = 0.002) and lower adjusted risk of 30-day readmission (OR 0.45; p = 0.031), skin flap necrosis (OR 0.14; p = 0.031), and pulmonary embolism (OR 0.07; p = 0.021).

CONCLUSIONS

Obese women should be closely monitored for adverse events and lower quality of life, offered measures to optimize thromboembolic prophylaxis, and advised on the risks and benefits of unilateral delayed reconstruction.

Area Deprivation Index and Distress Community Index Scores Are Not Associated With Short-Term and Long-Term Extracorporeal Life Support Outcomes

Distressed Communities Index (DCI) and Area Deprivation Index (ADI) are two composite ranking scores that report community level socioeconomic status (SES) by ZIP codes. The objective of this study was to evaluate the impact of SES as estimated by DCI and ADI scores on short-term and long-term outcomes after extracorporeal life support (ECLS) at a quaternary medical center. All patients on ECLS between January 1, 2015 and August 31, 2020 (N = 428) at Vanderbilt University Medical Center in Nashville, Tennessee, had their ADI and DCI scores calculated. Primary outcome was mortality during index hospitalization, and secondary outcome was survival to end of study follow-up. There was no significant difference in primary outcome between the top 25% ADI vs . bottom 75% ADI (53.8% vs . 50.6%; p = 0.56) or between top 25% DCI vs . bottom 75% DCI (56.1 vs . 49.2; p = 0.21). Adjusted odds ratio for the primary outcome with ADI and DCI was 1.13 (95% CI, 0.63-2.0; p = 0.67) and 1.28 (95% CI, 0.70-2.34; p = 0.41), respectively. Additionally, there was no significant difference in long-term survival curves based on their ADI or DCI scores. In conclusion, SES as estimated by baseline DCI and ADI scores does not appear to impact short- or long-term survival post-ECLS at a large volume center. http://links.lww.com/ASAIO/A951.

Association of Cumulative Colorectal Surgery Hospital Costs, Readmissions, and Emergency Department/Observation Stays with Insurance Type

BACKGROUND/PURPOSE

Medicare's Hospital Readmission Reduction Program disproportionately penalizes safety-net hospitals (SNH) caring for vulnerable populations. This study assessed the association of insurance type with 30-day emergency department visits/observation stays (EDOS), readmissions, and cumulative costs in colorectal surgery patients.

METHODS

Retrospective inpatient cohort study using the National Surgical Quality Improvement Program (2013-2019) with cost data in a SNH. The odds of EDOS and readmissions and cumulative variable (index hospitalization and all 30-day EDOS and readmissions) costs were modeled adjusting for frailty, case status, presence of a stoma, and open versus laparoscopic surgery.

RESULTS

The cohort had 245 private, 195 Medicare, and 590 Medicaid/uninsured cases, with a mean age 55.0 years (SD = 13.3) and 52.9% of the cases were performed on male patients. Most cases were open surgeries (58.7%). Complication rates were 41.8%, EDOS 12.0%, and readmissions 20.1%. Medicaid/uninsured had increased odds of urgent/emergent surgeries (aOR = 2.15, CI = 1.56-2.98, p < 0.001) and complications (aOR = 1.43, CI = 1.02-2.03, p = 0.042) versus private patients. Medicaid/uninsured versus private patients had higher EDOS (16.6% versus 4.1%) and readmissions (22.9% versus 14.3%) rates and higher odds of EDOS (aOR = 4.81, CI = 2.57-10.06, p < 0.001), and readmissions (aOR = 1.62, CI = 1.07-2.50, p = 0.025), while Medicare patients had similar odds versus private. Cumulative variable cost %change was increased for Medicare and Medicaid/uninsured, but Medicaid/uninsured was similar to private after adjusting for urgent/emergent cases.

CONCLUSIONS

Increased urgent/emergent cases in Medicaid/uninsured populations drive increased complications odds and higher costs compared to private patients, suggesting lack of access to outpatient care. SNH care for higher cost populations, receive lower reimbursements, and are penalized by value-based programs. Increasing healthcare access for Medicaid/uninsured patients could reduce urgent/emergent surgeries, resulting in fewer complications, EDOS/readmissions, and costs.

The Effect of Socioeconomic Disparity on Improvement in QuickDASH at 3 Months after Carpal Tunnel Release

The primary objective of this study was to determine the association between socioeconomic disparity and improvement in QuickDASH score 3 months after carpal tunnel release (CTR). The secondary objectives of this study were to determine the association between socioeconomic disparity and baseline preoperative QuickDASH score and 3 months postoperative QuickDASH score after CTR.

Methods

A single-institutional, prospective, longitudinal study was performed of 85 patients who underwent isolated, unilateral CTR for idiopathic carpal tunnel syndrome. Sixty-three patients (74%) who completed patient-reported outcome measures at 3 months after surgery comprised our study cohort. Socioeconomic disparity was assessed using the zip code level Distressed Communities Index (DCI) and the neighborhood level Area Deprivation Index. The outcome variables were the improvement in the QuickDASH score, 3 months postoperative QuickDASH score, and the preoperative QuickDASH score. Associations between continuous variables were assessed using simple linear regression.

Results

The mean DCI of the study cohort was in the 23rd national percentile, and the mean Area Deprivation Index was in the 15th national percentile. The mean preoperative QuickDASH of the study cohort was 49.3. The mean 3 months postoperative QuickDASH of the study cohort was 29.8. The mean improvement in QuickDASH at 3 months after surgery was 19.5, which was statistically significant and clinically meaningful. Area Deprivation Index and DCI were not associated with improvement in QuickDASH score or 3 months postoperative QuickDASH score. Higher DCI was associated with poorer baseline preoperative QuickDASH score.

Conclusion

Patients of various socioeconomic backgrounds can expect similar short-term improvements in symptoms and function after CTR.

Association of Insurance Type with Inpatient Surgical 30-day Readmissions, Emergency Department Visits/Observation Stays, and Costs

OBJECTIVE

To assess the association of Private, Medicare, and Medicaid/Uninsured insurance type with 30-day Emergency Department visits/Observation Stays (EDOS), readmissions, and costs in a safety-net hospital (SNH) serving diverse socioeconomic status patients.

SUMMARY BACKGROUND DATA

Medicare's Hospital Readmission Reduction Program (HRRP) disproportionately penalizes SNHs.

METHODS

This retrospective cohort study used inpatient National Surgical Quality Improvement Program (2013-2019) data merged with cost data. Frailty, expanded Operative Stress Score, case status, and insurance type were used to predict odds of EDOS and readmissions, as well as index hospitalization costs.

RESULTS

The cohort had 1,477 Private; 1,164 Medicare; and 3,488 Medicaid/Uninsured cases with a patient mean age 52.1 years [SD=14.7] and 46.8% of the cases were performed on male patients. Medicaid/Uninsured (aOR=2.69, CI=2.38-3.05, P<.001) and Medicare (aOR=1.32, CI=1.11-1.56, P=.001) had increased odds of urgent/emergent surgeries and complications versus Private patients. Despite having similar frailty distributions, Medicaid/Uninsured compared to Private patients had higher odds of EDOS (aOR=1.71, CI=1.39-2.11, P<.001), and readmissions (aOR=1.35, CI=1.11-1.65, P=.004), after adjusting for frailty, OSS, and case status, while Medicare patients had similar odds of EDOS and readmissions versus Private. Hospitalization variable cost %change was increased for Medicare (12.5%) and Medicaid/Uninsured (5.9%), but Medicaid/Uninsured was similar to Private after adjusting for urgent/emergent cases.

CONCLUSIONS

Increased rates and odds of urgent/emergent cases in Medicaid/Uninsured patients drive increased odds of complications and index hospitalization costs versus Private. SNHs care for higher cost populations while receiving lower reimbursements and are further penalized by the unintended consequences of HRRP. Increasing access to care, especially for Medicaid/Uninsured patients, could reduce urgent/emergent surgeries resulting in fewer complications, EDOS/readmissions, and costs.

Independent Associations of Neighborhood Deprivation and Patient-level Social Determinants of Health with Textbook Outcomes after Inpatient Surgery

Objective

Assess associations of Social Determinants of Health (SDoH) using Area Deprivation Index (ADI), race/ethnicity and insurance type with Textbook Outcomes (TO).

Summary Background Data

Individual- and contextual-level SDoH affect health outcomes, but only one SDoH level is usually included.

Methods

Three healthcare system cohort study using National Surgical Quality Improvement Program (2013-2019) linked with ADI risk-adjusted for frailty, case status and operative stress examining TO/TO components (unplanned reoperations, complications, mortality, Emergency Department/Observation Stays and readmissions).

Results

Cohort (34,251 cases) mean age 58.3 [SD=16.0], 54.8% females, 14.1% Hispanics, 11.6% Non-Hispanic Blacks, 21.6% with ADI>85, and 81.8% TO. Racial and ethnic minorities, non-Private insurance, and ADI>85 patients had increased odds of urgent/emergent surgeries (aORs range: 1.17-2.83, all P<.001). Non-Hispanic Black patients, ADI>85 and non-Private insurances had lower TO odds (aORs range: 0.55-0.93, all P<.04), but ADI>85 lost significance after including case status. Urgent/emergent versus elective had lower TO odds (aOR=0.51, P<.001). ADI>85 patients had higher complication and mortality odds. Estimated reduction in TO probability was 9.9% (CI=7.2%-12.6%) for urgent/emergent cases, 7.0% (CI=4.6%-9.3%) for Medicaid, and 1.6% (CI=0.2%-3.0%) for non-Hispanic Black patients. TO probability difference for lowest-risk (White-Private-ADI≤85-elective) to highest-risk (Black-Medicaid-ADI>85-urgent/emergent) was 29.8% for very frail patients.

Conclusion

Multi-level SDoH had independent effects on TO, predominately affecting outcomes through increased rates/odds of urgent/emergent surgeries driving complications and worse outcomes. Lowest-risk versus highest-risk scenarios demonstrated the magnitude of intersecting SDoH variables. Combination of insurance type and ADI should be used to identify high-risk patients to redesign care pathways to improve outcomes. Risk adjustment including contextual neighborhood deprivation and patient-level SDoH could reduce unintended consequences of value-based programs.

Distressed Communities Index Is Not Associated with Mortality for Critically Ill Surgical Patients with Sepsis

Background: The impact of socioeconomic metrics on outcomes after sepsis is unclear. The Distressed Communities Index (DCI) is a composite score quantifying socioeconomic well-being by zip code. The primary objective of this study was to evaluate the association between DCI and mortality in patients with sepsis admitted to the surgical intensive care unit (SICU). Patients and Methods: All patients with sepsis admitted to the SICU (Sequential Organ Failure Assessment [SOFA] score ≥2) were reviewed retrospectively. Composite DCI scores were obtained for each patient and classified into high-distress (DCI ≥75th percentile; n = 331) and control distress (DCI <50th percentile; n = 666) groups. Baseline demographic and clinical characteristics were compared between groups. The primary outcomes were in-hospital and 90-day mortality. Results: The high-distress cohort was younger and more likely to be African American (19.6% vs. 6.2%), transferred from an outside facility (52% vs. 42%), have chronic obstructive pulmonary disease (25.1% vs. 18.8%), and baseline liver disease (8.2% vs. 4.2%). Sepsis presentation was comparable between groups. Compared with the control cohort, high-distress patients had similar in-house (23% vs. 24%) and 90-day mortality (30% vs. 28%) but were associated with longer hospital stay (23 vs. 19 days). High DCI failed to predict in-hospital or 90-day mortality but was an independent risk factor for longer hospital length of stay (odds ratio [OR], 2.83 ± 1.42; p = 0.047). Conclusions: High DCI was not associated with mortality but did independently predict longer length of stay. This may reflect limitations of DCI score in evaluating mortality for patients with sepsis. Future studies should elucidate its association with length of stay, re-admissions, and follow-up.

Disparities in Elective Spine Surgery for Medicaid Beneficiaries: A Systematic Review

STUDY DESIGN

Systematic review.

OBJECTIVES

We sought to synthesize the literature investigating the disparities that Medicaid patients sustain with regards to 2 types of elective spine surgery, lumbar fusion (LF) and anterior cervical discectomy and fusion (ACDF).

METHODS

Our review was constructed in accordance with Preferred Reporting Items and Meta-analyses (PRISMA) guidelines and protocol. We systematically searched PubMed, Embase, Scopus, CINAHL, and Web of Science databases. We included studies comparing Medicaid beneficiaries to other payer categories with regards to rates of LF and ACDF, costs/reimbursement, and health outcomes.

RESULTS

A total of 573 articles were assessed. Twenty-five articles were included in the analysis. We found that the literature is consistent with regards to Medicaid disparities. Medicaid was strongly associated with decreased access to LF and ACDF, lower reimbursement rates, and worse health outcomes (such as higher rates of readmission and emergency department utilization) compared to other insurance categories.

CONCLUSIONS

In adult patients undergoing elective spine surgery, Medicaid insurance is associated with wide disparities with regards to access to care and health outcomes. Efforts should focus on identifying causes and interventions for such disparities in this vulnerable population.

Socioeconomic disadvantage and pediatric surgical outcomes

INTRODUCTION

The impact of socioeconomic status on surgical outcomes has not been well-studied in children. Area Deprivation Index (ADI) is a validated measure of neighborhood-level socioeconomic disadvantage.

METHODS

A retrospective analysis of surgical patients ages 0-21 years was performed at a quaternary pediatric hospital from 1/1/2016-12/31/2020. Logistic regression was used to assess the relationship between ADI, 30-day postoperative mortality and serious adverse events (SAE).

RESULTS

Among 56,655 patients, the incidence of 30-day mortality and SAE were 0.3% and 8.9%. On univariable regression, patients from higher state ADI neighborhoods had increased odds of 30-day postoperative mortality and SAE. After controlling for covariates, patients from a neighborhood with state ADI ranks of 9 and 10 had 24% (95% CI: 1.06-1.45) and 27% (95% CI: 1.08-1.49) increased odds of experiencing SAE.

DISCUSSION

Pediatric surgical patients from disadvantaged neighborhoods may experience worse postoperative outcomes irrespective of patient demographics and preoperative health status.

Examining How Social Risk Factors Are Integrated Into Clinical Settings Using Existing Data: A Scoping Review

PURPOSE

Integrating social care into clinical care requires substantial resources. Use of existing data through a geographic information system (GIS) has the potential to support efficient and effective integration of social care into clinical settings. We conducted a scoping literature review characterizing its use in primary care settings to identify and address social risk factors.

METHODS

In December 2018, we searched 2 databases and extracted structured data for eligible articles that (1) described the use of GIS in clinical settings to identify and/or intervene on social risks, (2) were published between December 2013 and December 2018, and (3) were based in the United States. Additional studies were identified by examining references.

RESULTS

Of the 5,574 articles included for review, 18 met study eligibility criteria: 14 (78%) were descriptive studies, 3 (17%) tested an intervention, and 1 (6%) was a theoretical report. All studies used GIS to identify social risks (increase awareness); 3 studies (17%) described interventions to address social risks, primarily by identifying relevant community resources and aligning clinical services to patients' needs.

CONCLUSIONS

Most studies describe associations between GIS and population health outcomes; however, there is a paucity of literature regarding GIS use to identify and address social risk factors in clinical settings. GIS technology may assist health systems seeking to address population health outcomes through alignment and advocacy; its current application in clinical care delivery is infrequent and largely limited to referring patients to local community resources.

Association of Insurance Type With Inpatient Surgery 30-Day Complications and Costs

INTRODUCTION

Safety-net hospitals (SNHs) have higher postoperative complications and costs versus low-burden hospitals. Do low socioeconomic status/vulnerable patients receive care at lower-quality hospitals or are there factors beyond providers' control? We studied the association of private, Medicare, and vulnerable insurance type with complications/costs in a high-burden SNH.

METHODS

Retrospective inpatient cohort study using National Surgical Quality Improvement Program (NSQIP) data (2013-2019) with cost data risk-adjusted by frailty, preoperative serious acute conditions (PASC), case status, and expanded operative stress score (OSS) to evaluate 30-day unplanned reoperations, any complication, Clavien-Dindo IV (CDIV) complications, and hospitalization variable costs.

RESULTS

Cases (Private 1517; Medicare 1224; Vulnerable 3648) with patient mean age 52.3 y [standard deviation = 14.7] and 47.3% male. Adjusting for frailty and OSS, vulnerable patients had higher odds of PASC (aOR = 1.71, CI = 1.39-2.10, P < 0.001) versus private. Adjusting for frailty, PASC and OSS, Medicare (aOR = 1.27, CI = 1.06-1.53, P = 0.009), and vulnerable (aOR = 2.44, CI = 2.13-2.79, P < 0.001) patients were more likely to undergo urgent/emergent surgeries. Vulnerable patients had increased odds of reoperation and any complications versus private. Variable cost percentage change was similar between private and vulnerable after adjusting for case status. Urgent/emergent case status increased percentage change costs by 32.31%. We simulated "switching" numbers of private (3648) versus vulnerable (1517) cases resulting in an estimated variable cost of $49.275 million, a 25.2% decrease from the original $65.859 million.

CONCLUSIONS

Increased presentation acuity (PASC and urgent/emergent surgeries) in vulnerable patients drive increased odds of complications and costs versus private, suggesting factors beyond providers' control. The greatest impact on outcomes may be from decreasing the incidence of urgent/emergent surgeries by improving access to care.

Sex-Related Differences in Acuity and Postoperative Complications, Mortality and Failure to Rescue

INTRODUCTION

Yentl syndrome describing sex-related disparities has been extensively studied in medical conditions but not after surgery. This retrospective cohort study assessed the association of sex, frailty, presenting with preoperative acute serious conditions (PASC), and the expanded Operative Stress Score (OSS) with postoperative complications, mortality, and failure-to-rescue.

METHODS

The National Surgical Quality Improvement Program from 2015 to 2019 evaluating 30-d complications, mortality, and failure-to-rescue.

RESULTS

Of 4,860,308 cases (43% were male; mean [standard deviation] age of 56 [17] y), 6.0 and 0.8% were frail and very frail, respectively. Frailty score distribution was higher in men versus women (P < 0.001). Most cases were low-stress OSS2 (44.9%) or moderate-stress OSS3 (44.5%) surgeries. While unadjusted 30-d mortality rates were higher (P < 0.001) in males (1.1%) versus females (0.8%), males had lower odds of mortality (adjusted odds ratio (aOR) = 0.92, 95% confidence interval [CI] = 0.90-0.94, P < 0.001) after adjusting for frailty, OSS, case status, PASC, and Clavien-Dindo IV (CDIV) complications. Males have higher odds of PASC (aOR = 1.33, CI = 1.31-1.35, P < 0.001) and CDIV complications (aOR = 1.13, CI = 1.12-1.15, P < 0.001). Male-PASC (aOR = 0.76, CI = 0.72-0.80, P < 0.001) and male-CDIV (aOR = 0.87, CI = 0.83-0.91, P < 0.001) interaction terms demonstrated that the increased odds of mortality associated with PASC or CDIV complications/failure-to-rescue were lower in males versus females.

CONCLUSIONS

Our study provides a comprehensive analysis of sex-related surgical outcomes across a wide range of procedures and health care systems. Females presenting with PASC or experiencing CDIV complications had higher odds of mortality/failure to rescue suggesting sex-related care differences. Yentl syndrome may be present in surgical patients; possibly related to differences in presenting symptoms, patient care preferences, or less aggressive care in female patients and deserves further study.

Cost of Failure to Achieve Textbook Outcomes: Association of Insurance Type with Outcomes and Cumulative Cost for Inpatient Surgery

BACKGROUND

Surgical outcome/cost analyses typically focus on single outcomes and do not include encounters beyond the index hospitalization.

STUDY DESIGN

This cohort study used NSQIP (2013-2019) data with electronic health record and cost data risk-adjusted for frailty, preoperative acute serious conditions (PASC), case status, and operative stress assessing cumulative costs of failure to achieve textbook outcomes defined as absence of 30-day Clavien-Dindo level III and IV complications, emergency department visits/observation stays (EDOS), and readmissions across insurance types (private, Medicare, Medicaid, uninsured). Return costs were defined as costs of all 30-day emergency department visits/observation stays and readmissions.

RESULTS

Cases were performed on patients (private 1,506; Medicare 1,218; Medicaid 1,420; uninsured 2,178) with a mean age 52.3 years (SD 14.7) and 47.5% male. Medicaid and uninsured patients had higher odds of presenting with preoperative acute serious conditions (adjusted odds ratios 1.89 and 1.81, respectively) and undergoing urgent/emergent surgeries (adjusted odds ratios 2.23 and 3.02, respectively) vs private. Medicaid and uninsured patients had lower odds of textbook outcomes (adjusted odds ratios 0.53 and 0.78, respectively) and higher odds of emergency department visits/observation stays and readmissions vs private. Not achieving textbook outcomes was associated with a greater than 95.1% increase in cumulative costs. Medicaid patients had a relative increase of 23.1% in cumulative costs vs private, which was 18.2% after adjusting for urgent/emergent cases. Return costs were 37.5% and 65.8% higher for Medicaid and uninsured patients, respectively, vs private.

CONCUSIONS

Higher costs for Medicaid patients were partially driven by increased presentation acuity (increased rates/odds of preoperative acute serious conditions and urgent/emergent surgeries) and higher rates of multiple emergency department visits/observation stays and readmission occurrences. Decreasing surgical costs/improving outcomes should focus on reducing urgent/emergent surgeries and improving postoperative care coordination, especially for Medicaid and uninsured populations.

Area Deprivation Index is Associated with Variation in Quality of Life and Psychosocial Well-being Following Breast Cancer Surgery

BACKGROUND

Neighborhood-level factors have been shown to influence surgical outcomes through material deprivation, psychosocial mechanisms, health behaviors, and access to resources. To date, no study has examined the relationship between area-level deprivation (ADI) and post-mastectomy outcomes.

METHODS

A cross-sectional survey of adult female breast cancer patients who underwent lumpectomy or mastectomy between January 2018 to June 2019 was carried out. Patient-specific characteristics and ADI information were abstracted and correlated with postoperative global- (SF-12) and condition-specific (BREAST-Q) quality-of-life performance via multivariable regression. Patients were classified into three ADI terciles: 0-39 (low deprivation), 40-59 (moderate deprivation), and 60-100 (high deprivation).

RESULTS

A total of 564 consecutive patients were identified, being mostly white (75%) with mean age of 60.2 ± 12.4 years, median body mass index of 27.8 [interquartile range (IQR) 24.3-32.2) kg/m², median Charlson Comorbidity Index of 3 (IQR 2-5), and mean ADI of 42.3 ± 25.7. African American and Hispanic patients and those with high BMI were more likely to reside in highly deprived neighborhoods (p = 0.003 and p < 0.001). In adjusted models, patients in highly deprived neighborhoods had significantly lower mean SF-12 physical (44.9 [95% CI, 43.8-46.0] versus 44.9 [95% CI, 43.7-46.1] versus 46.3 [95% CI, 45.3-47.3], p = 0.03) and BREAST-Q psychosocial well-being scores (63.5 [95% CI, 59.32-67.8] versus 69.3 [95% CI, 65.1-73.6] versus 69.7 [95% CI, 66.4-73.1], p = 0.01) relative to moderate- and low-deprivation groups.

CONCLUSIONS

Patients residing in the most deprived neighborhoods were identified to have worse psychological well-being and quality-of-life. The ADI should be incorporated into the shared decision-making process and perioperative counseling to engender value-based and personalized care, especially for vulnerable populations.

Neighborhood deprivation and morbid obesity: Insights from the Houston Methodist Cardiovascular Disease Health System Learning Registry

This study examined the relationship between a validated measure of socioeconomic deprivation, such as the Area Deprivation Index (ADI), and morbid obesity. We used cross-sectional data on adult patients (≥18 years) in the Houston Methodist Cardiovascular Disease Health System Learning Registry (located in Houston, Texas, USA) between June 2016 and July 2021. Each patient was grouped by quintiles of ADI, with higher quintiles signaling greater deprivation. BMI was calculated using measured height and weight with morbid obesity defined as ≥ 40 kg/m². Multivariable logistic regression models were used to examine the association between ADI and morbid obesity adjusting for demographic (age, sex, and race/ethnicity) factors. Out of the 751,174 adults with an ADI ranking included in the analysis, 6.9 % had morbid obesity (n = 51,609). Patients in the highest ADI quintile had a higher age-adjusted prevalence (10.9 % vs 3.3 %), and about 4-fold odds (aOR, 3.8; 95 % CI = 3.6, 3.9) of morbid obesity compared to the lowest ADI quintile. We tested for and found interaction effects between ADI and each demographic factor, with stronger ADI-morbid obesity association observed for patients that were female, Hispanic, non-Hispanic White and 40-65 years old. The highest ADI quintile also had a high prevalence (44 %) of any obesity (aOR, 2.2; 95 % CI = 2.1, 2.2). In geospatial mapping, areas with higher ADI were more likely to have higher proportion of patients with morbid obesity. Census-based measures, like the ADI, may be informative for area-level obesity reduction strategies as it can help identify neighborhoods at high odds of having patients with morbid obesity.

Association of Insurance Type With Colorectal Surgery Outcomes and Costs at a Safety-Net Hospital: A Retrospective Observational Study

Association of insurance type with colorectal surgical complications, textbook outcomes (TO), and cost in a safety-net hospital (SNH).

Background

SNHs have higher surgical complications and costs compared to low-burden hospitals. How does presentation acuity and insurance type influence colorectal surgical outcomes?

Methods

Retrospective cohort study using single-site National Surgical Quality Improvement Program (2013-2019) with cost data and risk-adjusted by frailty, preoperative serious acute conditions (PASC), case status and open versus laparoscopic to evaluate 30-day reoperations, any complication, Clavien-Dindo IV (CDIV) complications, TO, and hospitalization variable costs.

Results

Cases (Private 252; Medicare 207; Medicaid/Uninsured 619) with patient mean age 55.2 years (SD = 13.4) and 53.1% male. Adjusting for frailty, open abdomen, and urgent/emergent cases, Medicaid/Uninsured patients had higher odds of presenting with PASC (adjusted odds ratio [aOR] = 2.02, 95% confidence interval [CI] = 1.22-3.52, P = 0.009) versus Private. Medicaid/Uninsured (aOR = 1.80, 95% CI = 1.28-2.55, P < 0.001) patients were more likely to undergo urgent/emergent surgeries compared to Private. Medicare patients had increased odds of any and CDIV complications while Medicaid/Uninsured had increased odds of any complication, emergency department or observations stays, and readmissions versus Private. Medicare (aOR = 0.51, 95% CI = 0.33-0.88, P = 0.003) and Medicaid/Uninsured (aOR = 0.43, 95% CI = 0.30-0.60, P < 0.001) patients had lower odds of achieving TO versus Private. Variable cost %change increased in Medicaid/Uninsured patients to 13.94% (P = 0.005) versus Private but was similar after adjusting for case status. Urgent/emergent cases (43.23%, P < 0.001) and any complication (78.34%, P < 0.001) increased %change hospitalization costs.

Conclusions

Decreasing the incidence of urgent/emergent colorectal surgeries, possibly by improving access to care, could have a greater impact on improving clinical outcomes and decreasing costs, especially in Medicaid/Uninsured insurance type patients.

Use Of Area-Based Socioeconomic Deprivation Indices: A Scoping Review And Qualitative Analysis

There is considerable interest among researchers, clinicians, and policy makers in understanding the impact of place on health. In this scoping review and qualitative analysis, we sought to assess area-level socioeconomic deprivation indices used in public health and health outcomes research in the US. We conducted a systematic scoping review to identify area-level socioeconomic deprivation indices commonly used in the US since 2015. We then qualitatively compared the indices based on the input-variable domains, data sources, index creation characteristics, index accessibility, the geography over which the index is applied, and the nature of the output measure or measures. We identified fifteen commonly used indices of area-level socioeconomic deprivation. There were notable differences in the characteristics of each index, particularly in how they define socioeconomic deprivation based on input-variable domains, the geography over which they are applied, and their output measures. These characteristics can help guide future index selection and application in clinical care, research, and policy decisions.