The Impact of Sociodemographic Factors on Rates of Tympanostomy Tube Placement for Pediatric Otitis Media.

Objective: To identify the impact of race, ethnicity, and socioeconomic status (SES) on the rate of tympanostomy tube placement. Study Design: Retrospective medical review and population-level analyses. Setting: Tertiary referral center. Methods: Demographic and population-level characteristics (age, gender, race, insurance status, and ZIP code) compared to the regional, health system, and otolaryngology clinic demographics. Results: Among 38,461 children diagnosed with otitis media (OM) 61.4% were white, 27.4% were black, 32.7% had private insurance, and 18.2% were Hispanic. Among patients seen in the pediatric ear, nose, and throat (ENT) clinics, 70.0% were white, 20.0% were black, 46.6% had private insurance, and 14.9% were Hispanic. Further disparity was noted among those receiving tympanostomy tubes: 75.6% white, 15.6% black, 61.9% private insurance, and 11.7% Hispanic. Higher rates of tube placement were noted for those of white race [odds ratio, OR: 1.96, (95% confidence interval, CI: 1.85-2.04), <.001] and non-Hispanic ethnicity [OR: 1.67, (95% CI: 1.56-1.75), <.001]. Geographically, rates of tube placement were significantly lower in areas with higher deprivation indices, areas with lower proportions of white residents, and areas with the lowest median incomes. These markers correlate strongly with black race and Hispanic ethnicity. Lower rates of tube placement were also seen in majority white locales with higher deprivation indices and lower median incomes. Conclusion: Rates of access to pediatric ENT clinics, and of tube placement, are significantly lower for those of Hispanic ethnicity and black race than for non-Hispanic white children. Higher rates of tube placement were noted among white children and those with private insurance. Lower rates of tube placement were seen in areas of lower SES regardless of racial demographics.

Disparities in polysomnography referral in a high-risk cardiac population.

PURPOSE: Obstructive sleep apnea (OSA) is associated with metabolic, cardiovascular, and cerebrovascular comorbidities. Appropriate diagnosis and treatment of OSA might mitigate these comorbidities. This retrospective review sought to assess the impact of sex, age, race, ethnicity, and insurance status on polysomnography (PSG) referral rates. METHODS: An institutional STOP-Bang database of 299,320 patients was filtered for patients admitted to the hospital with an acute cardiac diagnosis between 2015-2020. A cohort of 4,735 patients were risk stratified by STOP-Bang (SB) score and correlations were made between PSG referrals and demographic and clinical variables (sex, age, race, ethnicity, and insurance status). RESULTS: Of the 25.3% of the cohort with high SB scores (5-8) only 21.3% were referred for PSG. Age and female sex were negatively associated with sleep study referrals (p < 0.001). No correlation was found between sleep study referral rates and race or ethnicity. No correlation was found between sleep study referrals and insurance provider. Admitting cardiac diagnosis significantly influenced sleep study referrals with diagnoses of arrhythmias and myocardial infarction being associated with an increased rate of PSG referrals compared to heart failure patients (p < 0.002). CONCLUSIONS: Our study found no significant correlation between PSG referral rates and race, ethnicity, or insurance provider. However, we found low overall rates of PSG referral, with negative correlations between older age and female sex and a high-risk cardiac population. This represents a substantial missed opportunity to identify patients at risk for OSA, obtain a diagnosis, and provider adequate treatment.

Evaluation of Social Determinants of Health on Dysphagia Care Pathways at a Tertiary Care Facility.

OBJECTIVES: Limited research exists evaluating the impact of social determinants of health in influencing care pathways for patients with dysphagia. A better understanding of whether these determinants correlate to altered care and resource utilization is essential as it relates to patient outcomes. STUDY DESIGN: Retrospective chart review. METHODS: All adult patients seen at a tertiary midwestern hospital were screened for ICD codes of dysphagia diagnoses from 2009 to 2019. Demographic information was collected from these patients with dysphagia including sex, race, ethnicity, and insurance status. Subgroup analysis was performed to assess referral pattern rates and types of diagnostic interventions ordered (none, videofluoroscopic swallow study, esophagram, and esophagogastroduodenoscopy). RESULTS: A total of 31,858 patients with dysphagia were seen at our institution during the study period, with a majority being female (56.36%), Caucasian (79.83%), and publicly insured (63.16%), at a median age of 60.35 years. There were no significant care delivery pattern differences based on geography/zip code analyses. African American patients were significantly more likely to have imaging or interventions performed (odds ratio [OR] 1.463, p = 0.005). Patients with public insurance also had higher rates of diagnostic study utilization (OR 1.53, p = 0.01). Only 3% of all patients with dysphagia were seen by laryngologists. CONCLUSION: No significant differences were seen in dysphagia evaluation modalities based on zip code analyses surrounding this tertiary care facility. African American patients and those with public insurance had significantly higher utilization of subsequent testing and intervention for dysphagia care. Further studies are necessary to delineate causes and outcome differences for these measurable differences in dysphagia care pathways. LEVEL OF EVIDENCE: 4 Laryngoscope, 134:1139-1146, 2024.

Factors associated with delayed referral and hearing rehabilitation for congenital sensorineural hearing loss.

OBJECTIVES: To identify the impact of social determinants of health and clinical status on referral and intervention for congenital sensorineural hearing loss. STUDY DESIGN: Retrospective chart review of children with confirmed sensorineural or mixed hearing loss between 2013 and 2021 at a single academic medical institution. METHODS: Referral rates and timing for hearing rehabilitation, rates and timing of completed evaluation, and rate and timing of amplification were recorded. Patient demographics included gestational age, race, ethnicity, sex, hearing loss severity, and CMV status. RESULTS: There were 216 children with confirmed sensorineural or mixed hearing loss, of which 77 had a unilateral hearing loss and 89 a severe or profound hearing loss. Delayed referral for hearing aid evaluation was noted in premature patients (median 375 days premature, median 147 term; p < 0.01) and publicly insured patients (median 215 days, median 123 private; p = 0.04). Delayed time to hearing aid fitting was noted for non-white patients (median 325 days, median 203 white patients; p < 0.01), publicly insured patients (median 309 days, median 212 private insurance; p < 0.02), and premature patients (median 462 days, median 224 term; p = 0.03). White patients were more likely to be referred for cochlear implant (p = 0.03).Privately insured patients and patients with a positive CMV test were more likely to be referred for cochlear implant evaluation, be seen in the cochlear implant clinic, and undergo implantation (p < 0.05). Non-white patients had a delay in cochlear implantation referral (median 928 days, median 398 days white patients; p = 0.05). Prolonged interval between evaluation in cochlear implant clinic to implantation was noted for privately insured patients (median 125 days; median 78 days publicly insured; p = 0.05). CONCLUSIONS: Sociodemographic factors were significantly associated with hearing amplification referral rates and time until amplification for children with identified congenital sensorineural hearing loss. For cochlear implantation, insurance type, CMV status were significantly associated with rate and timing of cochlear implant pathway.

A Survey of Conversational Agents and Their Applications for Self-Management of Chronic Conditions.

Conversational agents have gained their ground in our daily life and various domains including healthcare. Chronic condition self-management is one of the promising healthcare areas in which conversational agents demonstrate significant potential to contribute to alleviating healthcare burdens from chronic conditions. This survey paper introduces and outlines types of conversational agents, their generic architecture and workflow, the implemented technologies, and their application to chronic condition self-management.

Impacts of Socioeconomic Status on Dentoalveolar Trauma.

INTRODUCTION: Children sustain dentoalveolar trauma and lose teeth at the same rate regardless of socioeconomic status; however, debate surrounds these rates in adults. It is known socioeconomic status plays a major role in access and treatment in health care. This study aims to clarify the role of socioeconomic status as a risk factor for dentoalveolar trauma in adults. METHODS: A single center retrospective chart review took place from January 2011 through December 2020 for patients requiring oral maxillofacial surgery consultation in the emergency department, due to either dentoalveolar trauma (Group 1) or other dental condition (Group 2). Demographic information including age, sex, race, marital status, employment status, and type of insurance were collected. Odds ratios were calculated by chi-square analysis with significance set at P < 0.05. RESULTS: Over the course of 10 years, 247 patients (53% female) required an oral maxillofacial surgery consultation, with 65 (26%) sustaining dentoalveolar trauma. Within this group, there were significantly more subjects who were Black, single, insured with Medicaid, unemployed, and 18 - 39 years old. In the nontraumatic control group, there were significantly more subjects who were White, married, insured with Medicare, and 40 - 59 years old. CONCLUSIONS: Among those seen in the emergency department requiring an oral maxillofacial surgery consultation, those with dentoalveolar trauma have an increased likelihood of being single, Black, insured with Medicaid, unemployed, and 18 - 39 years old. Further research is needed to determine causality and the most critical/influential socioeconomic status factor in sustaining dentoalveolar trauma. Identifying these factors can assist in developing future community-based prevention and educational programs.

The Demographics of Menière's Disease: Selection Bias or Differential Susceptibility?

OBJECTIVE: To clarify whether the reported lack of racial and ethnic diversity among Menière's disease (MD) patients is representative of selection bias or disease susceptibility. STUDY DESIGN: Retrospective medical record review and population-level analyses. SETTING: Tertiary referral center. PATIENTS: Cohort of 1091 patients diagnosed with MD by the tertiary otology service. MAIN OUTCOME MEASURE: Demographic and population-level characteristics (age, sex, race, insurance status, ZIP code, median income, education level) compared with local, regional, health system, and otolaryngology clinic demographics. RESULTS: Patients seen for MD were significantly older than those seen throughout the otolaryngology clinic (median, 65.0 versus 58.8 yr) or health system (65.0 versus 50.8 yr). A majority of patients with MD were of White race (92%), compared with 2.7% Black race and 0.5% Asian. Using population-level data, median income and having medical insurance were significantly correlated with care for MD. A disproportionate rate of care for MD was seen in ZIP codes outside urban areas as compared with other otologic and otolaryngologic conditions seen in the same clinic. CONCLUSION: Patients with MD are of older age, more likely to be of White race, and disproportionately from rural locales. The demographic profile of patients diagnosed with MD by tertiary otology is better explained by differential susceptibility to MD than by selection bias.

Association between body-mass index, patient characteristics, and obesity-related comorbidities among COVID-19 patients: A prospective cohort study.

OBJECTIVE: Obesity is a major risk factor for adverse outcomes after COVID-19 infection. However, it is unknown if the worse outcomes are due to the confounding effect of demographic and obesity-related comorbidities. The study objective is to analyze associations between body mass index, patient characteristics, obesity-related comorbidity, and clinical outcomes in COVID-19 patients. METHODS: In this prospective cohort study, we chose patient records between March 1st, 2020, and December 1st, 2022, in a large tertiary care center in southeast Wisconsin in the United States. Patients over the age of 18 who tested positive were included in the study. Clinical outcomes included hospitalization, intensive care unit (ICU) admission, mechanical ventilation, and mortality rates. We examined the characteristics of patients who had positive clinical outcomes. We created unadjusted logistic regression models, sequentially adjusting for demographic and comorbidity variables, to assess the independent associations between BMI, patient characteristics, obesity-related comorbidities, and clinical outcomes. RESULTS: From a record of 1.67 million inpatients and outpatients at Froedtert Health Center, 55,299 (BMI: 30.5 ± 7.4 kg/m2, 62.5 % female) tested COVID-19 positive during the study period. 17,580 (31.8 %) patients were admitted to hospitals, and of hospitalized patients required ICU admission. 1038 (36.3 %) required mechanical ventilation, and 462 (44.5 %) died after a positive test for COVID-19. We found female patients show a higher hospitalization rate, while male patients have a higher rate of ICU admission, mechanical ventilation, and mortality. Obesity-related comorbidities are associated with worse outcomes compared to simple obesity without comorbidities. In logistic regression models, we found four similar V-shaped associations between BMI and four clinical outcomes. Patients with a BMI of 25 kg/m2 are at the lowest risk for clinical outcomes. Patients with a BMI lower than 18 kg/m2 or higher than 30 kg/m2 are associated with a higher risk of hospitalization, ICU, mechanical ventilation, and death. After adjusting the model for demographic factors and hypertension and diabetes as two common comorbidities, we found that demographic factors do not significantly increase the risk. Obesity alone does not significantly increase the risk of severe clinical outcomes. Obesity-related comorbidities, on the other hand, resulted in a significantly higher risk of outcomes. CONCLUSION: Obesity alone does not increase the risk of worse clinical outcomes after COVID-19 infection. It may suggest that the worse clinical outcomes of patients with obesity are mediated via hypertension and type 2 diabetes. Patients with obesity and comorbidities have a higher risk of poor outcomes. Obesity-related comorbidities, including hypertension and diabetes, are independently associated with poorer clinical outcomes among COVID-19 patients. At a BMI of more than 30 kg/m2 or less than 18 kg/m2, we found an increase in the risk of severe COVID-19 outcomes leading to hospitalization, ICU, mechanical ventilation, and death. The increased risk of severe outcomes is not attributed to patient characteristics but can be attributed to hypertension and diabetes.

Demographic differences in the treatment of unilateral vocal fold paralysis.

Objective: To determine the impact of patient demographics and social determinants of health on treatment pathways for unilateral vocal fold paralysis (UVFP) at a tertiary laryngology clinic. Study design: Retrospective medical record review. Methods: Patient demographics (age, gender, race, ethnicity, and insurance status) were extracted for adults diagnosed with UVFP between 2009 and 2019. Odds ratios for the associations between sociodemographic factors and UVFP treatment pathways were determined by chi-square analyses. Results: A total of 1490 UVFP diagnoses were identified during the study period with the majority being female (58%), White (85%), non-Hispanic (97%), and publicly insured (54%). Five treatment pathways were identified: observation, injection laryngoplasty, voice therapy, laryngeal framework surgery/thyroplasty, and reinnervation surgery. There were 538 patients who underwent observation, 512 injection laryngoplasty, 366 voice therapy, 136 thyroplasty, and 26 laryngeal reinnervation surgery. Males were more likely to undergo injection laryngoplasty than females (OR 1.32; CI 1.08-1.61), whereas females were more likely to undergo voice therapy (OR 1.39; CI 1.09-1.76). Patients with public insurance (OR 1.48; CI 1.03-2.14) and Hispanics (OR 2.60; CI 1.18-5.72) were more likely to undergo thyroplasty. Patients who underwent reinnervation surgery were younger than those in other treatment pathways (median: 39.1 years vs. 50.7-56.1 years). Conclusions: Gender, ethnicity, and insurance status were significantly associated with specific UVFP treatment pathways. Patients with public insurance were more likely to undergo surgical intervention than voice therapy. This data overall supports differences in care pathway utilization for UVFP based on social determinants of health. Level of evidence: Level IV.

Telemedicine and health disparities: Association between patient characteristics and telemedicine, in-person, telephone and message-based care during the COVID-19 pandemic.

Telemedicine has been an essential form of care since the onset of the COVID-19 pandemic. However, telemedicine may exacerbate disparities for populations with limited digital literacy or access, such as older adults, racial minorities, patients of low income, rural residences, or limited English proficiency. From March 2020 to March 2022, this retrospective cohort study analyzed the use of in-person, phone/message, and telemedical care at a single tertiary care center in an oncology department. We investigated the association between economic, racial, ethnic, socioeconomic factors and forms of care, including in-person visits, telemedicine-based visits, and telephone/messages. The study results show that telemedicine utilization is lower among patients 65 and older, female patients, American Indian or Alaska Native patients, uninsured patients, and patients who require interpreters during clinical visits. As a result, it is unlikely that telemedicine will provide equal access to clinical care for all populations. On the other hand, in-person care utilization remains low in low-income and rural-living patients compared to the general population, while telephone and message use remains high in low-income and rural-living patients. We conclude that telemedicine is currently unable to close the utilization gap for populations of low socioeconomic status. Patients with low socioeconomic status use in-person care less frequently. For the disadvantaged, unusually high telephone or message utilization is unlikely to provide the same quality as in-person or telemedical care. Understanding the causes of disparity and promoting a solution to improve equal access to care for all patients is critical.

Standardization of Outcome Measures for Intratympanic Steroid Treatment for Idiopathic Sudden Sensorineural Hearing Loss.

OBJECTIVE: To identify variability in reported hearing outcomes for intratympanic (IT) steroid treatment of idiopathic sudden sensorineural hearing loss (ISSNHL) by comparing outcomes using the American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) guideline with other published criteria. STUDY DESIGN: Retrospective chart review. SETTING: Tertiary otology practice. PATIENTS: Patients with ISSNHL treated with IT steroid between April 2003 and December 2020. INTERVENTIONS: IT steroid injection and audiometric evaluation. MAIN OUTCOME MEASURES: 1) Rates of full, partial, or no recovery using the AAO-HNS guideline versus other reported criteria, and 2) correlation analyses of demographic and clinical variables with response to IT steroid. RESULTS: Using AAO-HNS reporting criteria, full recovery of the pure-tone average was noted in 25.68% of patients. Applying eight other published outcomes criteria to this patient cohort classified full recovery in 14.87 to 40.54% of patients. Similarly, AAO-HNS criteria classified "no recovery" in 51.35% of our patients, whereas applying the other reported criteria showed an average rate of 62.16% no recovery and as high as 82.43% of patients without recovery. Younger age ( p = 0.003; effect size, 0.924) and IT injection within a week of onset ( p < 0.001; effect size, 1.099) positively correlated with full recovery. There was no impact of prior or concurrent oral steroids, or number of steroid injections on outcome. CONCLUSION: Great variability exists in the literature for assessment of IT steroid outcomes in ISSNHL. Standard reporting of outcomes as per the AAO-HNS SSNHL guideline is recommended to consistently characterize IT steroid efficacy and allow comparison across studies.

Proposed Questions to Assess the Extent of Knowledge in Understanding the Radiology Report Language.

Radiotherapy and diagnostic imaging play a significant role in medical care. The amount of patient participation and communication can be increased by helping patients understand radiology reports. There is insufficient information on how to measure a patient's knowledge of a written radiology report. The goal of this study is to design a tool that will measure patient literacy of radiology reports. A radiological literacy tool was created and evaluated as part of the project. There were two groups of patients: control and intervention. A sample radiological report was provided to each group for reading. After reading the report, the groups were quizzed to see how well they understood the report. The participants answered the questions and the correlation between the understanding of the radiology report and the radiology report literacy questions was calculated. The correlations between radiology report literacy questions and radiology report understanding for the intervention and control groups were 0.522, p < 0.001, and 0.536, p < 0.001, respectively. Our radiology literacy tool demonstrated a good ability to measure the awareness of radiology report understanding (area under the receiver operator curve in control group (95% CI: 0.77 (0.71-0.81)) and intervention group (95% CI: 0.79 (0.74-0.84))). We successfully designed a tool that can measure the radiology literacy of patients. This tool is one of the first to measure the level of patient knowledge in the field of radiology understanding.

Impact of Demographics and Clinical Features on Initial Treatment Pathway for Vestibular Schwannoma.

OBJECTIVE: To identify demographic and clinical features impacting initial treatment pathway for vestibular schwannoma. STUDY DESIGN: Retrospective chart review. SETTING: Tertiary care academic medical center. PATIENTS: Patients diagnosed with vestibular schwannoma between 2009 and 2019. INTERVENTIONS: Observation, stereotactic radiosurgery, or microsurgical resection. MAIN OUTCOME MEASURES: χ 2 Test, one-way analysis of variance, and multivariate logistic regression were used to correlate demographic and clinical factors with initial treatment pathway for 197 newly diagnosed vestibular schwannoma patients. RESULTS: Among 197 patients, 93 (47%) were initially treated with observation, 60 (30%) with stereotactic radiation (Gamma Knife) and 44 (22%) with surgical resection. Age univariately had no statistically significant impact on initial pathway, but those undergoing surgery trended toward a younger demographic (49.1 yr [surgery] versus 57.2 yr [observation] versus 59.0 yr [Gamma Knife]). Men were more likely to be initially observed than women ( p = 0.04). Patients initially observed were more likely to have a lower Koos classification ( p < 0.001) and have better tumor-ear hearing ( p = 0.03). Only 34.4% of patients living outside the local geographic region were initially observed compared with 53.0% living locally ( p = 0.055). Surgeon correlated with initial treatment ( p = 0.04) but did not maintain significance when adjusting for hearing level or tumor size. A multiple linear regression model found age, maximum tumor diameter, and Koos class to correlate with initial treatment pathway ( p < 0.0001, r2 = 0.42). CONCLUSION: Initial treatment pathway for newly diagnosed vestibular schwannoma is impacted by demographic factors such as age, sex, and geographic proximity to the medical center. Clinical features including hearing level and tumor size also correlated with initial treatment modality.

Analysis of socioeconomic factors in laryngology clinic utilization for treatment of dysphonia.

OBJECTIVE: To evaluate the association between patient socioeconomic and demographic factors and tertiary care utilization for dysphonia in a localized metropolitan area of the American Midwest. METHODS: Multivariate regression analysis was used to correlate patient demographics and population level data (e.g., age, gender, race, insurance, median income, education level) with tertiary laryngology utilization for dysphonia care at our institution between 2000 and 2019. Initial analyses characterized tertiary laryngology utilization rates for all regional ZIP codes and correlated these data with census information for household income and education. Dysphonia patient demographics were compared among populations cared for in our entire academic Otolaryngology department, our health system, and the regional population. RESULTS: Among 1,365,021 patients in our health system, there were 7066 tertiary laryngology visits with a diagnosis of dysphonia. Dysphonia patients as compared to the overall health system were older (62.0 vs. 50.8 years), more likely to be female (63.7 vs. 50.2%) and more likely to have insurance (98.4 vs. 87.5%, all p < .001). Patient and population-level factors including insurance status, education, and black race showed positive correlation with laryngology utilization while median income did not. CONCLUSIONS AND RELEVANCE: Insurance status, education level, and race correlated with utilization of tertiary laryngology services for the evaluation of dysphonia in our community, while median income did not. Black patients utilized tertiary laryngology care at higher rates compared to departmental and regional population utilization data. These results underscore important demographic and disease-specific factors that may affect utilization of subspecialty care in Otolaryngology. LEVEL OF EVIDENCE: IV.

The impact of social determinants of health and clinical comorbidities on post-tympanotomy tube otorrhea.

OBJECTIVES: To measure the impact of social determinants of health and clinical comorbidities on the incidence of post-tympanotomy tube otorrhea (PTTO). METHODS: Retrospective observational cohort study. All children between the ages of 0 and 17 having tympanotomy tube placement between 2009 and 2019. Between group comparisons entailed the calculation of odds ratios (OR) with 95% confidence intervals and associated p-values. RESULTS: Among 12,757 patients who underwent myringotomy and tube placement, 2217 (17.4%) presented with PTTO within 1 year. Race and sex did not correlate with the development of PTTO. Non-Hispanic ethnicity had a negative association with PTTO (OR: 0.80 (0.70-0.91), p < .0001). Insurance status correlated with incidence of PTTO with a higher rate noted among those with public insurance (OR: 1.12 (1.02-1.23), p = .02) and a lower rate among those with private insurance (OR: 0.84 (0.77-0.92), p < .0001). Craniofacial abnormalities had the strongest positive correlation with PTTO, particularly, cleft lip and/or cleft palate (OR>2.24, p < .0001). Immunodeficiency had similar impact on PTTO (OR: 2.38 (1.46-3.91), p < .0001). Asthma and prematurity did not significantly correlate with occurrence of PTTO. CONCLUSION: Higher rates of PTTO correlated strongest with clinical factors; particularly craniofacial abnormalities and immunodeficiency. Social determinants, including private insurance and non-Hispanic ethnicity, were associated with lower rates of PTTO. Race and sex did not show significant correlations.

Towards Developing a Voice-activated Self-monitoring Application (VoiS) for Adults with Diabetes and Hypertension.

The integration of motivational strategies and self-management theory with mHealth tools is a promising approach to changing the behavior of patients with chronic disease. In this manuscript, we describe the development and current architecture of a prototype voice-activated self-monitoring application (VoiS) which is based on these theories. Unlike prior mHealth applications which require textual input, VoiS app relies on the more convenient and adaptable approach of asking users to verbally input markers of diabetes and hypertension control through a smart speaker. The VoiS app can provide real-time feedback based on these markers; thus, it has the potential to serve as a remote, regular, source of feedback to support behavior change. To enhance the usability and acceptability of the VoiS application, we will ask a diverse group of patients to use it in real-world settings and provide feedback on their experience. We will use this feedback to optimize tool performance, so that it can provide patients with an improved understanding of their chronic conditions. The VoiS app can also facilitate remote sharing of chronic disease control with healthcare providers, which can improve clinical efficacy and reduce the urgency and frequency of clinical care encounters. Because the VoiS app will be configured for use with multiple platforms, it will be more robust than existing systems with respect to user accessibility and acceptability.

Predicting Risk of Stroke From Lab Tests Using Machine Learning Algorithms: Development and Evaluation of Prediction Models.

BACKGROUND: Stroke, a cerebrovascular disease, is one of the major causes of death. It causes significant health and financial burdens for both patients and health care systems. One of the important risk factors for stroke is health-related behavior, which is becoming an increasingly important focus of prevention. Many machine learning models have been built to predict the risk of stroke or to automatically diagnose stroke, using predictors such as lifestyle factors or radiological imaging. However, there have been no models built using data from lab tests. OBJECTIVE: The aim of this study was to apply computational methods using machine learning techniques to predict stroke from lab test data. METHODS: We used the National Health and Nutrition Examination Survey data sets with three different data selection methods (ie, without data resampling, with data imputation, and with data resampling) to develop predictive models. We used four machine learning classifiers and six performance measures to evaluate the performance of the models. RESULTS: We found that accurate and sensitive machine learning models can be created to predict stroke from lab test data. Our results show that the data resampling approach performed the best compared to the other two data selection techniques. Prediction with the random forest algorithm, which was the best algorithm tested, achieved an accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and area under the curve of 0.96, 0.97, 0.96, 0.75, 0.99, and 0.97, respectively, when all of the attributes were used. CONCLUSIONS: The predictive model, built using data from lab tests, was easy to use and had high accuracy. In future studies, we aim to use data that reflect different types of stroke and to explore the data to build a prediction model for each type.

Telemedicine Adoption during the COVID-19 Pandemic: Gaps and Inequalities.

BACKGROUND: The telemedicine industry has been experiencing fast growth in recent years. The outbreak of coronavirus disease 2019 (COVID-19) further accelerated the deployment and utilization of telemedicine services. An analysis of the socioeconomic characteristics of telemedicine users to understand potential socioeconomic gaps and disparities is critical for improving the adoption of telemedicine services among patients. OBJECTIVES: This study aims to measure the correlation of socioeconomic determinants with the use of telemedicine services in Milwaukee metropolitan area. METHODS: Electronic health record review of patients using telemedicine services compared with those not using telemedicine services within an academic-community health system: patient demographics (e.g., age, gender, race, and ethnicity), insurance status, and socioeconomic determinants obtained through block-level census data in Milwaukee area. The telemedicine users were compared with all other patients using regression analysis. The telemedicine adoption rates were calculated across regional ZIP codes to analyze the geographic patterns of telemedicine adoption. RESULTS: A total of 104,139 patients used telemedicine services during the study period. Patients who used video visits were younger (median age 48.12), more likely to be White (odds ratio [OR] 1.34; 95% confidence interval [CI], 1.31-1.37), and have private insurance (OR 1.43; CI, 1.41-1.46); patients who used telephone visits were older (median age 57.58), more likely to be Black (OR 1.31; CI 1.28-1.35), and have public insurance (OR 1.30; CI 1.27-1.32). In general, Latino and Asian populations were less likely to use telemedicine; women used more telemedicine services in general than men. In the multiple regression analysis of social determinant factors across 126 ZIP codes, college education (coefficient 1.41, p = 0.01) had a strong correlation to video telemedicine adoption rate. CONCLUSION: Adoption of telemedicine services was significantly impacted by the social determinant factors of health, such as income, education level, race, and insurance type. The study reveals the potential inequities and disparities in telemedicine adoption.

Socioeconomic Determinants of Tertiary Rhinology Care Utilization.

OBJECTIVE: The objective of this study was to determine the impact of patient demographics and socioeconomic factors on the utilization of tertiary rhinology care services in an upper Midwestern academic medical center. STUDY DESIGN: Retrospective review of electronic health records. SETTING: Academic medical center. METHODS: The electronic health record of our academic center was interrogated for the demographics and diagnosis of chronic rhinosinusitis (CRS) among adult patients seen by fellowship-trained rhinologists from 2000 to 2019. Patient characteristics (age, sex, race, insurance status) and population-level data (median income and education level) were compared with utilization of tertiary rhinology services for CRS. Utilization rates were calculated for each regional zip code and correlated with census data for median income and education. The association between determinants of health and tertiary rhinology utilization was assessed by multivariate regression analyses. RESULTS: A total of 8325 patients diagnosed with CRS used tertiary rhinology services. Patients were older (median, 58.9 years) and more likely to be female (57.6%), White (85%), and privately insured (60%) when compared with patients seen across our hospital system (P < .001). Adjusted analyses showed median income, education level, and White race to be independently correlated with tertiary care utilization. Private insurance alone was not an independent contributing factor to access. CONCLUSION: Utilization of tertiary rhinology services correlated with income, race, and education level. Private insurance was not an independent factor. These results highlight social differences in determinants of access to tertiary otolaryngologic care.