Patient-level Characteristics Research Articles

Prosthetic Conduit Use Does Not Adversely Impact Outcomes after Open Repair of Popliteal Artery Aneurysms

Single segment, greater saphenous vein (GSV) conduit is considered the optimal bypass conduit among patients undergoing bypass surgery for peripheral artery disease (PAD). While this data has been extrapolated to patients undergoing bypass for popliteal artery aneurysms (PAA), the pathophysiology of PAA is inherently different when compared to PAD, and the impact of conduit type on long-term outcomes after open repair of PAA remains unclear. A multicenter database of five regional hospitals was retrospectively reviewed for all patients with PAA undergoing open surgical repair. Data were collected on demographic information, operative details, medications, and postoperative outcomes. Kaplan-Meier curves were used to compare freedom from major adverse limb events (MALE) following GSV versus prosthetic bypass. Cox proportional hazards model was used to identify patient-level characteristics associated with MALE, which was defined as major ipsilateral limb amputation or reintervention for graft patency. From 1999-2020, a total of 101 patients with PAA underwent open exclusion and bypass surgery. Median follow-up period was 4.2 years (interquartile range, 1.3-7.4 years), and complete data were available for 99 (98.0%) patients. The majority of patients were male (99.0%) and Caucasian (93.9%). Only 11.1% of procedures were emergent, with the remainder (88.9%) being elective. All patients underwent medial exposure with a below-knee popliteal bypass target (100%). Bypass conduits included GSV (69.7%), prosthetic conduit (28.3%), and two (2.0%) alternative conduits (one spliced arm vein, one cryopreserved vein). Patients undergoing prosthetic bypass were older (72 vs 66 years, p=0.001) and had similar rates of medical comorbidities. Compared with the GSV group, patients with prosthetic conduits were more frequently placed on postoperative anticoagulation (60.7% vs 23.2%, p<0.001). Conduit type did not impact postoperative complication rates (p=NS each). MALE rates were low overall (19.2% at two years), and similar when stratified by conduit type (log rank p=0.47). On multivariable analysis, emergent bypass was associated with MALE (hazard ratio [HR] 5.73, 95% confidence interval [CI] 2.07-15.85, p<0.001). Prosthetic conduit usage (HR 1.00, 95% CI, 0.40-2.51, p=0.99) and postoperative anticoagulation (HR 1.02, 95% CI 0.42-2.50, p=0.97) were not associated with MALE. Open repair of PAA is associated with excellent long-term outcomes. Prosthetic bypass is a comparable alternative to autogenous conduit for below-knee popliteal bypass targets, and lack of suitable GSV should not prohibit open surgical repair when indicated.

Food Pantry Referral and Utilization in a Pediatric Primary Care Clinic

This study aimed to characterize progression from screening for food insecurity risk to on-site food pantry referral to food pantry utilization in pediatric primary care. This retrospective study included 14,280 patients aged 0-21 years with ≥1 pediatric primary care visit from March 2018 to February 2020. Analyses were conducted in 2020-2022 using multivariable regression to examine patient-level demographic, clinical, and socioeconomic characteristics and systems-related factors associated with progression from screening positive for food insecurity risk to food pantry referral to completing ≥1 food pantry visit. Of patients screened for food insecurity risk, 31.9% screened positive; 18.5% of food-insecure patients received an on-site food pantry referral. Among patients referred, 28.9% visited the food pantry. In multivariable models, higher odds of referral were found for patients living near the clinic (AOR=1.28; 95% CI=1.03, 1.59), for each additional health-related social need reported (AOR=1.23; 95% CI=1.16, 1.29), and when the index clinic encounter occurred during food pantry open hours (AOR=1.62; 95% CI=1.30, 2.02). Higher odds of food pantry visitation were found for patients with a preferred language of Haitian Creole (AOR=2.16; 95% CI=1.37, 3.39), for patients of Hispanic race/ethnicity (AOR=3.67; 95% CI=1.14, 11.78), when the index encounter occurred during food pantry open hours (AOR=1.96; 95% CI=1.25, 3.07), for patients with a clinician letter referral (AOR=6.74; 95% CI=3.94, 11.54), or for patients with a referral due to a screening-identified food emergency (AOR=2.27; 95% CI=1.30, 3.96). There was substantial attrition along the pathway from screening positive for food insecurity risk to food pantry referral and utilization as well as patient-level characteristics and systems-related factors associated with successful referrals and utilization.

Characterizing Hospital Admissions after Proton Beam Therapy Using the National Inpatient Sample Database.

To characterize the diagnoses, comorbidities, and length of stay in patients who received proton beam therapy during their hospital stay as part of their cancer treatment regimen. The National Inpatient Sample database was queried using ICD-10 codes to identify all hospitalizations with proton beam therapy between 2016 and 2018. Weighted frequencies for categorical variables and geometric mean with standard error for continuous variables were derived. Generalized linear models for clustered data in SAS v 9.4 (Cary, NC) were used to determine the association between length of stay with patient and hospital baseline characteristics. We studied 511 patients, representing a weighted estimate of 2,555 patients from the National Inpatient Sample from 2016 to 2018 who received proton beam therapy during hospitalization. The mean age was 40 years (StdErr = 3.0). The estimated average length of stay was 7.7 days (StdErr = 0.4). The cohort was 53.6% White, 15.3% Black, 10.4% Hispanic, 7.0% Asian or Pacific Islander, and 0.2% Native American. The most frequent diagnoses at admission were encounter for antineoplastic chemotherapy (10.0%), secondary malignant neoplasm of brain (9.2%), secondary malignant neoplasm of bone (9.0%), encounter for antineoplastic radiation therapy (6.1%), and neoplasm-related pain (3.3%). Large- and medium-sized hospitals were associated with significantly longer lengths of stay than small-sized hospitals (p<0.0001 and p = 0.0186, respectively). Compared to private investor-owned (proprietary) hospitals, nonfederal government-owned (public) hospitals are associated with prolonged length of stay (p = 0.0033). Hospital region and patient age, race, sex, comorbidity, and income quartile were not associated with a longer length of stay. Our findings demonstrate that hospital-level characteristics are more important than patient-level characteristics in predicting length of stay in patients undergoing proton beam therapy while hospitalized. Patients undergoing proton beam therapy while hospitalized at large- and medium-sized hospitals had longer lengths of stay than those at small-sized hospitals. Additionally, publicly owned hospitals were associated with prolonged length of stay compared to private hospitals. The underlying reason for this difference in length of stay is unclear but may suggest different management strategies, protocols, and discharge criteria for patients receiving proton beam therapy in larger and publicly-owned hospitals compared to smaller and privately-owned hospitals. Future investigations should explore the underlying causes for these discrepancies and identify potential strategies to shorten unnecessarily prolonged hospital stays in patients undergoing proton beam therapy.

Association of Provider Zip Code Sociodemographic Characteristics with Radiation Therapy Modality Use in the Medicare Population

Variations in healthcare delivery by provider and patient-level characteristics have been well studied in the US health system as a whole, though these patterns are not as well defined in radiation oncology. We evaluated the association of provider zip-code level sociodemographic characteristics with variations in radiation therapy (RT) modality use. We used the Centers for Medicare & Medicaid Services (CMS) Physician and Other Supplier Public Use File, CMS Physician Compare, and National Neighborhood Data Archive databases to link non-facility based radiation oncologists and their submitted Medicare charges in 2020 with sociodemographic information of the provider's zip code. We selected radiation oncologists who submitted for any of the following RT treatments: proton RT (PRT), stereotactic body RT (SBRT), intensity modulated RT (IMRT), 3D conformal RT (3DCRT), and brachytherapy (BT). Sociodemographic covariates included predominant race/ethnicity of area (Black, White, or Hispanic), percentage of population earning above $75,000 annually, provider rurality (metropolitan vs non-metropolitan), and predominant education level attained of area (Bachelor's degree vs no Bachelor's degree). We measured the association of these covariates with the use of different RT modalities with multivariable logistic regression. We identified 1,126 radiation oncologists for analysis. PRT was more likely to be used by providers in areas with a predominantly Black population compared with providers in areas with a predominantly White or Hispanic population (Black as reference, White odds ratio (OR) 0.11; 95% CI 0.05-0.24; Hispanic OR 0.23; 95% CI 0.08-0.56). IMRT was more likely to be used by providers in areas with a predominantly White or Hispanic population compared with providers in areas with a predominantly Black population (White OR 3.40; 95% CI 1.63-6.78; Hispanic OR 2.46; 95% CI 1.04-5.97). SBRT was less likely to be used in non-metro areas compared with metro areas (OR 0.28, 95% CI 0.12-0.56). The annual income measure was not associated with any RT modality. Providers in areas with predominantly Bachelor's degree attained were more likely to use PRT (Bachelor's degree as reference, OR 0.34; 95% CI 0.17-0.64) and less likely to use SBRT (OR 1.53; 95% CI 1.04-2.26), IMRT (OR 2.04; 95% CI 1.20-3.48), and 3DCRT (OR 1.52; 95% CI 1.04-2.22). No covariates were associated with BT use. We identified notable variations in RT delivery with multiple sociodemographic factors. A predominantly Black population was associated with a higher likelihood of PRT use, and BT use was not associated with any sociodemographic covariate. These findings might reflect reduced barriers to care afforded by the universal healthcare setting of Medicare or ongoing improvements in RT delivery with respect to previously identified health disparities. Additional work is needed to further elucidate these patterns of RT use and determine if they represent effective care.

Surgeon, Pathologist and Pathology Technician Effects on Nodal Yield after a Neck Dissection

A minimum nodal count of 18 lymph nodes has been associated with improved survival after neck dissection and has been suggested as a head and neck cancer quality metric. Despite its critical importance, factors affecting nodal yield are poorly studied. In particular, the relative contribution of surgeons, pathologists, and pathology technicians has not been evaluated. The purpose of this study was to understand both patient and provider related factors that affect nodal yield after neck dissection for patients with oral cavity squamous cell carcinoma (OCSCC). This retrospective cohort study involved review of all adult patients with OCSCC undergoing primary neck dissection between 2000-2020 at an academic medical center. The outcome of interest was a continuous variable denoting the number of nodes removed per side during neck surgery. Surgeon and pathologist year of experience were calculated and represented in quartiles. A multilevel multivariable linear regression model was used to assess the association of surgeon/pathologist experience quartiles with nodal yield, controlling for patient age, comorbidity index, previous cancer, tumor grade, and clinical nodal status. The 508 patients included in our cohort were treated by 5 surgeons and 6 pathologists and involved 44 pathology technicians. Of these patients, 310 (61.0%) were male with a mean age of 63. Oral tongue primary tumors were 46.7% of the cohort, while 64.4% of patients had cT1-T2 tumors, and 65.2% were cN0. The mean nodal yield was 24.2 nodes. The ANOVA analysis revealed significant difference in mean nodal yield by surgeon (p-value = 0.03), pathologist (p-value<0.01) and pathology technician (p-value = 0.037). After accounting for patient-level characteristics and patient clustering by surgeon, increasing surgeon experience was found to be significantly associated with a higher nodal yield (joint significance of surgeon years of experience quartiles < 0.01). Specifically, when compared to surgeons with the least experience (1st quartile), those whose years of experience fell into the 2nd, 3rd, and 4th quartile removed 4.69 (95% CI: 0.97 to 7.92), 4.47 (95% CI: 0.33 to 7.87), and 7.37 (95% CI: 0.73 to 11.27) more lymph nodes. Meanwhile, there was no association between pathologist experience and nodal yield (joint significance of pathologist years of experience quartiles = 0.27). Additionally, previous cancer diagnosis and cN0 disease were significantly associated with lower nodal yield (all p-values = 0.02). This study demonstrates an independent association between increasing surgeon experience and higher nodal yields. Importantly, it also demonstrates that pathologists and pathology technicians contribute to the variation in nodal yield, and their contribution should not be overlooked in the implementation of a lymph node yield-based quality metric.

Dosimetric Predictors for Acute Esophagitis during Radiation Therapy for Lung Cancer: An Update of a Large Statewide Observational Study

Acute esophagitis remains a clinical challenge during the treatment of locally advanced non-small cell lung cancer (NSCLC). Here, we analyze the dosimetric and patient-level characteristics associated with acute grade 2+ and 3+ esophagitis in patients undergoing radiation therapy for NSCLC across a statewide consortium. Demographic, dosimetric, and acute toxicity data were prospectively collected for patients undergoing definitive radiation therapy +/- chemotherapy for stage II-III NSCLC from 2012-2022 across the Michigan Radiation Oncology Quality Consortium (MROQC). Logistic regression models were used to characterize the risk of grade 2+ and 3+ esophagitis as a function of dosimetric and clinical covariates. Multivariate regression models were fitted to predict the 50% risk of grade 2 esophagitis or 3% risk of grade 3 esophagitis at each dose value. Of 1760 patients evaluated, 84.2% had stage III disease and 85.3% received concurrent chemotherapy. 79.2% of patients had an ECOG performance status ≤1. Rates of acute grade 2+ and 3+ esophagitis were 48.4% and 2.2%, respectively. On multivariate analyses, performance status, mean esophageal dose and esophageal D2cc were significantly associated with grade 2+ and 3+ esophagitis. Concurrent chemotherapy was associated with grade 2+ but not grade 3+ esophagitis. Dose-response relationships were modeled for grade 2+ and 3+ esophagitis by mean esophageal dose and esophageal D2cc, stratified by performance status and/or receipt of concurrent chemotherapy. For all patients, mean esophageal dose of 29 Gy and esophageal D2cc of 61 Gy corresponded to a 3% risk of acute grade 3+ esophagitis. For patients receiving chemotherapy, mean esophageal dose of 22 Gy and esophageal D2cc of 49.5 Gy corresponded to a 50% risk of acute grade 2+ esophagitis. Performance status, concurrent chemotherapy, mean esophageal dose and esophageal D2cc are associated with acute esophagitis during definitive treatment of NSCLC. Models that quantitatively account for these factors can be useful in individualizing radiation plans. Mean esophageal dose of 29 Gy and esophageal D2cc of 61 Gy corresponded to a 3% risk of acute grade 3+ esophagitis and merit consideration as contemporary treatment planning constraints.

Visit and Between-Visit Interaction Frequency Before and After COVID-19 Telehealth Implementation

Telehealth implementation associated with the COVID-19 public health emergency (PHE) affected patient-clinical team interactions in numerous ways. Yet, studies have narrowly examined billed patient-clinician visits rather than including visits with other team members (eg, pharmacists) or between-visit interactions. To evaluate rates of change over time in visits (in-person, telehealth) and between-visit interactions (telephone calls, patient portal messages) overall and by key patient characteristics. This retrospective cohort study included adults with diabetes receiving primary care at urban academic (University of California San Francisco [UCSF]) and safety-net (San Francisco Health Network [SFHN]) health care systems. Encounters from April 2019 to March 2021 were analyzed. Telehealth implementation over 3 periods: pre-PHE (April 2019 to March 2020), strict shelter-in-place (April to June 2020), and hybrid-PHE (July 2020 to March 2021). The main outcomes were rates of change in monthly mean number of total encounters, visits with any health care team member, visits with billing clinicians, and between-visit interactions. Key patient-level characteristics were age, race and ethnicity, language, and neighborhood socioeconomic status (nSES). Of 15 148 patients (4976 UCSF; 8975 SFHN) included, 2464 (16%) were 75 years or older, 7734 (51%) were female patients, 9823 (65%) self-identified as racially or ethnically minoritized, 6223 (41%) had a non-English language preference, and 4618 (31%) lived in the lowest nSES quintile. After accounting for changes to care delivery through an interrupted time-series analysis, total encounters increased in the hybrid-PHE period (UCSF: 2.3% per patient/mo; 95% CI, 1.6%-2.9% per patient/mo; SFHN: 1.8% per patient/mo, 95% CI, 1.3%-2.2% per patient/mo), associated primarily with growth in between-visit interactions (UCSF: 3.1% per patient/mo, 95% CI, 2.3%-3.8% per patient/mo; SFHN: 2.9% per patient/mo, 95% CI, 2.3%-3.4% per patient/mo). In contrast, rates of visits were stable during the hybrid-PHE period. Although there were fewer differences in visit use by key patient-level characteristics during the hybrid-PHE period, pre-PHE differences in between-visit interactions persisted during the hybrid-PHE period at SFHN. Asian and Chinese-speaking patients at SFHN had fewer monthly mean between-visit interactions compared with White patients (0.46 [95% CI, 0.42-0.50] vs 0.59 [95% CI, 0.53-0.66] between-visit interactions/patient/mo; P < .001) and English-speaking patients (0.52 [95% CI, 0.47-0.58] vs 0.61 [95% CI, 0.56-0.66] between-visit interactions/patient/mo; P = .03). In this study, pre-PHE growth in overall patient-clinician encounters persisted after PHE-related telehealth implementation, driven in both periods by between-visit interactions. Differential utilization based on patient characteristics was observed, which may indicate disparities. The implications for health care team workload and patient outcomes are unknown, particularly regarding between-visit interactions. Therefore, to comprehensively understand care utilization for patients with chronic diseases, research should expand beyond billed visits.

A complexity-based measure for emergency department crowding

PurposeOvercrowding continues to afflict emergency departments (EDs), and its attendant consequences are becoming increasingly severe. The burden of the COVID-19 pandemic is further escalating the situation worldwide. One of the most critical questions is how to adequately quantify what constitutes overcrowding and determine implications for operations management in improving service efficiency. This paper aims to discuss the aforementioned.Design/methodology/approachThe authors propose the time and class complexity measures for ED service systems, taking into account important patient-level and system characteristics. Using an extensive data set from a Canadian ED, the authors investigate the performance of complexity-based measures in predicting service delays.FindingsThe authors find that the complexity measure is potentially more important than some well-known crowding metrics. In particular, EDs can improve service efficiency by managing the level of complexity within a desirable interval. Furthermore, complexity exposes how the interplay between demand-side behavioral changes and supply-side responses affects operational performance. Moreover, the results suggest that arrival patterns—the number of patients of each class arriving per time and times between events (arrivals and service completions)—increase the risk of service delays more than the demand volume.Originality/valueThis paper is the first to provide an extensive investigation into the application of the complexity-based measure for ED crowding. The study demonstrates potential values to be gained in ED service systems if complexity measure is incorporated into their operations management decisions.

41587 Comparing Clinical Trial Drug Efficacy of Biologics for Atopic Dermatitis by Patient Level Characteristics

41587 Comparing Clinical Trial Drug Efficacy of Biologics for Atopic Dermatitis by Patient Level Characteristics

Blood eosinophils and clinical features of pneumoconiosis complicated with chronic obstructive pulmonary disease: A cross-sectional study

Objective: To analyze the correlation between peripheral blood eosinophil (EOS) level and clinical characteristics of patients with pneumoconiosis complicated with chronic obstructive pulmonary disease (COPD) . Methods: From January 2007 to November 2020, newly diagnosed patients with pneumoconiosis complicated with COPD in Beijing Chaoyang Hospital, were retrospectively analyzed. These patients were stratified into EOS<100 cells/μl group and EOS≥100 cells/μl group, taking 100 cells/μl as the cut-off value. Demographic characteristics, clinical symptoms, lung function and laboratory indexes were compared between the two groups. Results: The median EOS count of patients with pneumoconiosis complicated with COPD was 100 (40, 180) cells/μl. 50.2% (160/319) had blood eosinophil counts ≥100 cells/μl, and 11.0% (35/319) had blood eosinophil counts ≥300 cells/μl. In comparison with EOS<100 cells/μl group, EOS≥100 cells/μl group were older (P=0.035), had higher body mass index (P=0.008), and had lower forced respiratory volume in the first second (P=0.017), had higher the ratio of residual volume to total lung volume (P=0.010), and had lower diffusing capacity of the lung for carbon monoxide (P=0.008). Arterial partial pressure of oxygen was significantly reduced in EOS≥100 cells/μl group (P=0.039). The peripheral blood EOS count was negatively correlated with forced vital capacity, forced breathing volume in the first second, carbon monoxide diffusion, peak expiratory flow, and maximum mid expiratory flow as a percentage of expected values (r(s)=-0.22, -0.18, -0.19, -0.19, -0.19, P=0.000, 0.001, 0.003, 0.008, 0.002), and positively correlated with the ratio of residual air volume to total lung volume (r(s)=0.17, P=0.002) . Conclusion: There was a correlation between blood EOS count and pulmonary function parameters, can proide reference for the diagnosis and treatment of chnoric obstuctive pulmmory disease in clinical practice.

Black and hispanic patients with movement disorders less likely to undergo deep brain stimulation

BackgroundDBS is an effective surgical treatment for ET, PD, and dystonia. Racial disparities in DBS utilization in PD have been documented demonstrating that Black patients receive DBS at lower rates than White patients. To our knowledge, no studies have investigated if this pattern of non-use persists in other movement disorders with FDA-approval. ObjectiveTo identify racial and ethnic disparities in DBS utilization in those hospitalized for ET, PD, and dystonia. MethodsThe NIS database was queried for US hospitalizations from 2012 to 2018 with a primary diagnosis of ET, PD, or dystonia, and a total of 3,363, 21,963, and 1,835 discharges were recorded, respectively. Within that sample, treatment with DBS was identified. Sex, race, age, payment method, income quartile, year, mortality risk, hospital size, urban/rural setting, teaching status, and geographic region were extracted. A multivariate logistic regression was performed to identify predictors for use and non-use of DBS. ResultsBetween 2012 and 2018, Black patients with PD, ET, and dystonia were less likely to receive DBS than White patients. Black patients with PD were 7 times less likely to receive DBS (OR = 0.145, CI = 0.111–0.189), and Black patients with ET and dystonia were 5 times less likely to receive DBS than White patients (OR = 0.188, CI = 0.124–0.285; OR = 0.186, CI = 0.084–0.414). Compared to White patients, Hispanic patients with PD (OR = 0.631, OR = 0.539–0.740) and ET (OR = 0.438, CI = 0.277–0.695) were less likely to undergo DBS. When controlling for patient and hospital level characteristics, racial and ethnic disparities remained. ConclusionsOur data suggest that Black patients with a diagnosis of ET, PD, or dystonia and Hispanic patients with a diagnosis of ET or PD were less likely to be treated with DBS than White patients between 2012 and 2018.

A five year descriptive analysis of potentially preventable hospitalisations for Ear, Nose, and Throat conditions in regional Victoria, Australia, from 2015 to 2020

BackgroundPotentially preventable hospitalisations of ear, nose, and throat conditions in the Murray Primary Health Network region have been found to be higher than the state average of Victoria, Australia. This study aimed to examine the association between selected patient-level characteristics and the likelihood of residing in a Murray PHN postcode with higher than expected numbers of potentially preventable ENT hospitalisations.MethodsUnit record hospital separation data were obtained from the Victorian Admitted Episodes Dataset. Postcodes were classified as having higher than expected numbers of potentially preventable hospitalisations across three subgroups of ENT using indirect standardisation techniques. Differences between patients from ‘higher than expected’ postcodes and ‘other’ postcodes with respect to the distribution of demographic and other patient characteristics were determined using chi-squared tests for each ENT subgroup. The results were confirmed by logistic regression analyses using resident of a postcode with higher than expected hospitalisations as the outcome variable.ResultsOf the 169 postcodes located in the catchment area, 15 were identified as having higher than expected numbers of upper respiratory tract infection hospitalisations, 14 were identified for acute tonsillitis, and 12 were identified for otitis media. Patients from postcodes with ‘higher than expected’ hospitalisations for these conditions were more likely than others to be aged between 0 and 9 years, Indigenous, or from a culturally and linguistically diverse background.ConclusionFurther investigation of the identified postcodes is warranted to determine access to and utilisation of primary healthcare services in the management of PPH ENT conditions in the region.

Effects of the COVID-19 Pandemic on Primary Health Care for Chronic Conditions in Canada: Protocol for a Retrospective Pre-Post Study Using National Practice-Based Research Network Data.

Since the COVID-19 pandemic began, there have been concerns that interruptions to the health care system may have led to changes in primary care, especially for care of chronic conditions such as diabetes and heart failure. Such changes may have longer term implications for population health. This study aims to describe the impacts of the COVID-19 pandemic on indicators of primary care access, comprehensiveness, and appropriateness among adult patients, as well as on specific indictors of chronic conditions. Additionally, this study aims to determine whether any identified changes were associated with patient sociodemographic characteristics and multimorbidity. This is a retrospective, single-arm, pre-post study using Canadian Primary Care Sentinel Surveillance Network (CPCSSN) data. CPCSSN is a research network supported by a primary care electronic medical record database, comprising over 1500 physicians and nearly 2 million patients. We are examining changes in care (eg, frequency of contacts, laboratory tests and investigations, referrals, medications prescribed, etc) among adults. We will also examine indicators specific to evidence-based recommendations for care in patients with diabetes and those with heart failure. We will compare rates of outcomes during key periods of the pandemic between March 13, 2020, and December 31, 2022, with equal time periods before the pandemic. Differences will be examined among specific subgroups of adults, including by decade of age, number of comorbidities, and socioeconomic status. Regression models appropriate to outcome distributions will be used to estimate changes, adjusting for potential confounders. This analysis is part of a mixed-methods study with a qualitative component investigating how patients with diabetes with or without concurrent heart failure perceived the impact of the pandemic on access to primary care and health care-related decisions. This study was approved by the Hamilton Integrated Research Ethics Board (14782-C). The start date of this study was October 5, 2022, and the prospective end date is January 31, 2024. As of May 2023, the study cohort (n=875,934) is defined, data cleaning is complete, and exploratory analyses have begun. Extended analyses using 2022 data are planned once the new data becomes available. We will disseminate results through peer-reviewed publications and academic conference, as well as creating evidence briefs, infographics, and a video for policy maker and patient audiences. This study will investigate whether the COVID-19 pandemic has resulted in changes in the provision of primary care in Canada and whether these potential changes have led to gaps in care. This study will also identify patient-level characteristics associated with changes in care patterns across the COVID-19 pandemic. Indicators specific to chronic conditions, namely diabetes and heart failure, will also be explored to determine whether there were changes in care of these conditions. ClinicalTrials.gov NCT05813652; https://clinicaltrials.gov/ct2/show/NCT05813652. RR1-10.2196/49131.

A nationwide cross-sectional study on the association of patient-level factors with financial anxiety in the context of chronic medical conditions

Patient-level characteristics associated with the prevalence and severity of financial anxiety have yet to be described. We conducted a cross-sectional analysis of survey data assessing financial anxiety in patients with chronic medical conditions in December 2020. 1771 patients (42.6% response rate) participated in the survey. Younger age (19–35 age compared to ≥ 75 age) (β, 5.86; 95% CI 2.10–9.63), male sex (β, − 1.9; 95% CI − 3.1 to − 0.73), Hispanic/Latino race/ethnicity (compared with White patients) (β, 2.55; 95% CI 0.39–4.71), household size ≥ 4 (compare with single household) (β, 4.54; 95% CI 2.44–6.64), household income of ≥ $96,000-$119,999 (compared with ≤ $23,999) (β, − 3.2; 95% CI − 6.3 to 0.04), single marital status (compared with married) (β, 2.18; 95% CI 0.65–3.71), unemployment (β, 2.07; 95% CI 0.39–3.74), high-school education (compared with advanced degrees) (β, 3.10; 95% CI 1.32–4.89), lack of insurance coverage (compared with private insurance) (β, 6.05; 95% CI 2.66–9.45), more comorbidities (≥ 3 comorbidities compared to none) (β, 2.95; 95% CI 1.00–4.90) were all independently associated with financial anxiety. Patients who are young, female, unmarried, and representing vulnerable sub-populations are at elevated risk for financial anxiety.

Assessing functional recovery for individuals with spinal cord injury post-discharge from inpatient rehabilitation

Objective: To determine the associations between trauma variables, acute phase-related variables, and patient-level characteristics with functional recovery during the first-year post-discharge from inpatient rehabilitation facilities (IRF) for individuals with spinal cord injury (SCI). Design: Retrospective cohort analysis. Setting: Two SCI Model Centers in Pennsylvania, United States. Methods: We were able to link 378 individuals with traumatic SCI between the Pennsylvania Trauma Systems Outcomes Study and the National SCI Model Systems databases. Nineteen individuals with SCI were excluded due to missing data. We estimated functional recovery based on changes in functional independence measure (FIM) total motor score during the first-year post-discharge from IRF in 359 individuals with SCI, who did not have any missing data, using ordinary least squares regression (OLS). Results: After discharge from IRF the majority of individuals with SCI improved over the first-year post-injury. Individuals with cervical A-C (injury severity group) who were older had a slight decrease in motor FIM at 1-year post-injury. Regression analysis indicated that lower functional recovery was associated with being of Black and Hispanic race and ethnicity, higher injury severity group, occurrence of non-pulmonary infection during acute care, and longer length of stay at IRF (R 2 = 0.36). Conclusions: Patient-level characteristics, trauma variables, and acute phase-related variables were associated with functional recovery post-discharge from IRF. Further research is necessary to collect and assess post-rehabilitation and socio-economic factors that play a critical role in continued functional recovery in the community.

Association of Functional Status, Cognition, Social Support, and Geriatric Syndrome With Admission From the Emergency Department

The role of patient-level factors that are unrelated to the specific clinical condition leading to an emergency department (ED) visit, such as functional status, cognitive status, social supports, and geriatric syndromes, in admission decisions is not well understood, partly because these data are not available in administrative databases. To determine the extent to which patient-level factors are associated with rates of hospital admission from the ED. This cohort study analyzed survey data collected from participants (or their proxies, such as family members) enrolled in the Health and Retirement Study (HRS) from January 1, 2000, to December 31, 2018. These HRS data were linked to Medicare fee-for-service claims data from January 1, 1999, to December 31, 2018. Information on functional status, cognitive status, social supports, and geriatric syndromes was obtained from the HRS data, whereas ED visits, subsequent hospital admission or ED discharge, and other claims-derived comorbidities and sociodemographic characteristics were obtained from Medicare data. Data were analyzed from September 2021 to April 2023. The primary outcome measure was hospital admission after an ED visit. A baseline logistic regression model was estimated, with a binary indicator of admission as the dependent variable of interest. For each primary variable of interest derived from the HRS data, the model was reestimated, including the HRS variable of interest as an independent variable. For each of these models, the odds ratio (OR) and average marginal effect (AME) of changing the value of the variable of interest were calculated. A total of 42 392 ED visits by 11 783 unique patients were included. At the time of the ED visit, patients had a mean (SD) age of 77.4 (9.6) years, and visits were predominantly for female (25 719 visits [60.7%]) and White (32 148 visits [75.8%]) individuals. The overall percentage of patients admitted was 42.5%. After controlling for ED diagnosis and demographic characteristics, functional status, cognition status, and social supports all were associated with the likelihood of admission. For instance, difficulty performing 5 activities of daily living was associated with an 8.5-percentage point (OR, 1.47; 95% CI, 1.29-1.66) AME increase in the likelihood of admission. Having dementia was associated with an AME increase in the likelihood of admission of 4.6 percentage points (OR, 1.23; 95% CI, 1.14-1.33). Living with a spouse was associated with an AME decrease in the likelihood of admission of 3.9 percentage points (OR, 0.84; 95% CI, 0.79-0.89), and having children living within 10 miles was associated with an AME decrease in the likelihood of admission of 5.0 percentage points (OR, 0.80; 95% CI, 0.71-0.89). Other common geriatric syndromes, including trouble falling asleep, waking early, trouble with vision, glaucoma or cataract, use of hearing aids or trouble with hearing, falls in past 2 years, incontinence, depression, and polypharmacy, were not meaningfully associated with the likelihood of admission. Results of this cohort study suggest that the key patient-level characteristics, including social supports, cognitive status, and functional status, were associated with the decision to admit older patients to the hospital from the ED. These factors are critical to consider when devising strategies to reduce low-value admissions among older adult patients from the ED.

Novel approaches to redesign surveillance strategies following orchiectomy for localized testicular cancer: a narrative review.

Surveillance is the preferred management strategy for most men with clinical stage I testicular cancer after orchiectomy. However, frequent office visits, imaging tests, and laboratory studies place a significant burden on patients, which may contribute to poor compliance with guideline-recommended surveillance regimens. Identifying strategies to overcome these barriers may help improve quality of life, reduce costs, and improve adherence for patients. We reviewed evidence for three strategies that may help with surveillance redesign: telemedicine, implementing microRNA (miRNA) as a biomarker, and novel imaging protocols. A web-based literature search for novel imaging strategies, diagnostic utility of miRNA, and telehealth as they relate to early-stage testicular germ cell cancer was completed during the month of August 2022. We focused our search on contemporary PubMed-indexed and Google Scholar-registered manuscripts written in English. Supportive data sourced from current guideline statements were also included. Evidence was compiled for narrative review. Telemedicine is a safe and acceptable platform for urologic cancer follow-up care, but it requires further study specifically among men with testicular cancer. Access to care may either be improved or reduced depending on system- and patient-level characteristics and should be implemented with this in mind. miRNA may potentially be a helpful biomarker for men with localized disease, but further research on diagnostic accuracy and marker kinetics are needed before implementing it into routine surveillance strategies or using it to deviate from long-standing surveillance regiments. Novel imaging strategies with less frequent imaging and the use of magnetic resonance imaging (MRI) instead of computed tomography (CT) appear to be non-inferior in clinical trials. However, use of MRI requires expert radiologist availability and may be more costly with a lower ability to detect small, early recurrences when used in routine practice. Using telemedicine, integrating miRNA as a tumor marker, and adopting less intensive imaging strategies may improve guideline-concordant surveillance for men with localized testicular cancer. Future studies are needed to assess the risks and benefits of using these novel approaches separately or together.

PCR114 Utilizing Time-Driven Activity Based Costing to Explore Variation in the Value of Hip Arthroscopy for Acetabular Labral Repair

By integrating postoperative patient-reported outcome measures (PROMs) with time-driven activity-based costing, this study aims to (1) quantify variations in the value of hip arthroscopy (HA) for acetabular labral repair and (2) explore patient-level characteristics (e.g., demographics, comorbidities, preoperative PROMs, and intraoperative variables) that may contribute to this variation.

SPARTIN: a Bayesian method for the quantification and characterization of cell type interactions in spatial pathology data.

Introduction: The acquisition of high-resolution digital pathology imaging data has sparked the development of methods to extract context-specific features from such complex data. In the context of cancer, this has led to increased exploration of the tumor microenvironment with respect to the presence and spatial composition of immune cells. Spatial statistical modeling of the immune microenvironment may yield insights into the role played by the immune system in the natural development of cancer as well as downstream therapeutic interventions. Methods: In this paper, we present SPatial Analysis of paRtitioned Tumor-Immune imagiNg (SPARTIN), a Bayesian method for the spatial quantification of immune cell infiltration from pathology images. SPARTIN uses Bayesian point processes to characterize a novel measure of local tumor-immune cell interaction, Cell Type Interaction Probability (CTIP). CTIP allows rigorous incorporation of uncertainty and is highly interpretable, both within and across biopsies, and can be used to assess associations with genomic and clinical features. Results: Through simulations, we show SPARTIN can accurately distinguish various patterns of cellular interactions as compared to existing methods. Using SPARTIN, we characterized the local spatial immune cell infiltration within and across 335 melanoma biopsies and evaluated their association with genomic, phenotypic, and clinical outcomes. We found that CTIP was significantly (negatively) associated with deconvolved immune cell prevalence scores including CD8+ T-Cells and Natural Killer cells. Furthermore, average CTIP scores differed significantly across previously established transcriptomic classes and significantly associated with survival outcomes. Discussion: SPARTIN provides a general framework for investigating spatial cellular interactions in high-resolution digital histopathology imaging data and its associations with patient level characteristics. The results of our analysis have potential implications relevant to both treatment and prognosis in the context of Skin Cutaneous Melanoma. The R-package for SPARTIN is available at https://github.com/bayesrx/SPARTIN along with a visualization tool for the images and results at: https://nateosher.github.io/SPARTIN.

Association between Initial Opioid Prescription and Patient Pain with Continued Opioid Use among Opioid-Naïve Patients Undergoing Elective Surgery in a Large American Health System.

There is growing concern about the over-prescription of opioids and the risks of long-term use. This study examined the relationship between initial need (pre-operative, post-operative, and discharge pain) and dosage of opioids in the first prescription after surgery with continued opioid use through opioid refills over 12 months, while considering patient-level characteristics. A total of 9262 opioid-naïve patients underwent elective surgery, 7219 of whom were prescribed opioids following surgery. The results showed that 17% of patients received at least one opioid refill within one year post-surgery. Higher initial opioid doses, measured in morphine milligram equivalent (MME), were associated with a greater likelihood of continued use. Patients receiving a dose greater than 90 MME were 1.57 times more likely to receive a refill compared to those receiving less than 90 MME (95% confidence interval: 1.30-1.90, p < 0.001). Additionally, patients who experienced pain before or after surgery were more likely to receive opioid refills. Those experiencing moderate or severe pain were 1.66 times more likely to receive a refill (95% confidence interval: 1.45-1.91, p < 0.001). The findings highlight the need to consider surgery-related factors when prescribing opioids and the importance of developing strategies to balance the optimization of pain management with the risk of opioid-related harms.