Health care insurance, financial concerns in accessing care, and delays to hospital presentation in acute myocardial infarction

Prevalence and Predictors of Emergency Medical Service Use in Patients Undergoing Primary Percutaneous Coronary Intervention for ST-Elevation Myocardial Infarction

AIM

We aim to describe prevalence of Emergency Medical Service (EMS) use, investigate factors predictive of EMS use, and determine if EMS use predicts treatment delay and mortality in our ST-elevation myocardial infarction (STEMI) cohort.

METHOD

We prospectively collected data on 5,602 patients presenting with STEMI for primary percutaneous coronary intervention (PCI) transported to PCI-capable hospitals in Victoria, Australia, from 2013-2018 who were entered into the Victorian Cardiac Outcomes Registry (VCOR). We linked this dataset to the Ambulance Victoria and National Death Index (NDI) datasets. We excluded late presentation, thrombolysed, and in-hospital STEMI, as well as patients presenting with cardiogenic shock and out-of-hospital cardiac arrest.

RESULTS

In total, 74% of patients undergoing primary PCI for STEMI used EMS. Older age, female gender, higher socioeconomic status, and a history of prior ischaemic heart disease were independent predictors of using EMS. EMS use was associated with shorter adjusted door-to-balloon (53 vs 72 minutes, p<0.001) and symptom-to-balloon (183 vs 212 minutes, p<0.001) times. Mode of transport was not predictive of 30-day or 12-month mortality.

CONCLUSIONS

EMS use in Victoria is relatively high compared with internationally reported data. EMS use reduces treatment delay. Predictors of EMS use in our cohort are consistent with those prevalent in prior literature. Understanding the patients who are less likely to use EMS might inform more targeted education campaigns in the future.

Influencing factors of delay in seeking medical attention of patients with obstructive sleep apnea based on the Model of Pathways to Treatment in China: a qualitative analysis

BACKGROUND

There is the highest estimated number of patients with obstructive sleep apnea (OSA) in China. Early treatment could lead to fewer complications associated with OSA. This study aimed to analyze the factors influencing help-seeking from the first symptom discovery to treatment in OSA.

METHODS

Semi-structured interview outline was designed to conduct face-to-face interview based on the analyses of a great number of related literatures on the delay in seeking medical attention of patients with OSA. 15 patients diagnosed were interviewed between June 2021 to September 2022 in general hospital of Shenyang, Northeastern of China. Qualitative data was analyzed by content analysis using the Model of Pathways to Treatment.

RESULTS

Analyses identified factors contributing to elapsed time from first symptom discovery to received treatment that are linked to disease characteristic, patients, health system organization. Appraisal interval is most obvious for patients with OSA, but it is difficult to pinpoint precisely because the patients didn't remember exactly when the first symptom was detected.

CONCLUSIONS

Patients diagnosed with OSA didn't initially interpret the snore as a warning sign and even thought it was a blessing. The findings provided guidance or avenues for reducing elapsed time between the first symptom and received treatment.

The COVID-19 impact on STEMI disparities

ST-segment elevation myocardial infarction (STEMI) is a significant source of morbidity and mortality. Despite guideline-driven management and increased awareness of social determinants of health, there are persistent disparities in diagnosis, management, and outcomes. The coronavirus disease 2019 (COVID-19) pandemic has greatly affected emergency department visitation, conditions and throughput. The aim of this study was to find any potential health disparities in patients who presented with STEMI during the COVID-19 pandemic by reviewing STEMI care data from April to September 2019 (pre-pandemic) and April to September 2020 (during the pandemic) for our hospital system. Patients with STEMI within 12 h of presentation were included in this study, and subdivided by age, gender, and race/ethnicity. We compared the turnaround times between emergency department arrival to intervention (electrocardiogram or catheterization) within the patient subgroups to find any notable differences. No statistically significant changes in turnaround times during either study period were found based on age, gender, or race/ethnicity for the STEMI interventions despite shifts in emergency department resources during the pandemic. This study helped assess the status quo in STEMI intervention for our health system and serves as a baseline for us to monitor gaps in care or areas of improvement. As healthcare systems institute new measures to promote equitable care, such as improving the accuracy of demographic data capture, establishing a baseline is an essential first step in evaluating the impact of these measures.

Number of comorbidities and the risk of delay in seeking treatment for coronary heart disease: a longitudinal study in Bogor City, Indonesia

BACKGROUND

The aim of this study was to investigate the relationship between the number of patient comorbidities and the delays in seeking treatment for coronary heart disease (CHD).

METHODS

This longitudinal study utilized secondary data from the Non-Communicable Disease Risk Factor (NCDRF) cohort study conducted in Bogor City. Individuals who participated in the NCDRF cohort study and were diagnosed with CHD within the 6-year study period met the inclusion criteria. Respondents who were not continuously monitored up to the 6th year were excluded. The final sample included data from respondents with CHD who participated in the NCDRF cohort study and were monitored for the full 6-year duration. The final logistic regression analysis was conducted on data collected from 812 participants.

RESULTS

Among the participants with CHD, 702 out of 812 exhibited a delay in seeking treatment. The risk of a delay in seeking treatment was significantly higher among individuals without comorbidities, with an odds ratio (OR) of 3.5 (95% confidence interval [CI], 1.735-7.036; p<0.001). Among those with a single comorbidity, the risk of delay in seeking treatment was still notable (OR, 2.6; 95% CI, 1.259-5.418; p=0.010) when compared to those with 2 or more comorbidities. These odds were adjusted for age, sex, education level, and health insurance status.

CONCLUSION

The proportion of patients with CHD who delayed seeking treatment was high, particularly among individuals with no comorbidities. Low levels of comorbidity also appeared to correlate with a greater tendency to delay in seeking treatment.

Association of socioeconomic deprivation with outcomes in critically ill adult patients: an observational prospective multicenter cohort study

BACKGROUND

The influence of socioeconomic deprivation on health inequalities is established, but its effect on critically ill patients remains unclear, due to inconsistent definitions in previous studies.

METHODS

Prospective multicenter cohort study conducted from March to June 2018 in eight ICUs in the Greater Paris area. All admitted patients aged ≥ 18 years were enrolled. Socioeconomic phenotypes were identified using hierarchical clustering, based on education, health insurance, income, and housing. Association of phenotypes with 180-day mortality was assessed using Cox proportional hazards models.

RESULTS

A total of 1,748 patients were included. Median age was 62.9 [47.4-74.5] years, 654 (37.4%) patients were female, and median SOFA score was 3 [1-6]. Study population was clustered in five phenotypes with increasing socioeconomic deprivation. Patients from phenotype A (n = 958/1,748, 54.8%) were without socioeconomic deprivation, patients from phenotype B (n = 273/1,748, 15.6%) had only lower education levels, phenotype C patients (n = 117/1,748, 6.7%) had a cumulative burden of 1[1-2] deprivations and all had housing deprivation, phenotype D patients had 2 [1-2] deprivations, all of them with income deprivation, and phenotype E patients (n = 93/1,748, 5.3%) included patients with 3 [2-4] deprivations and included all patients with health insurance deprivation. Patients from phenotypes D and E were younger, had fewer comorbidities, more alcohol and opiate use, and were more frequently admitted due to self-harm diagnoses. Patients from phenotype C (predominant housing deprivation), were more frequently admitted with diagnoses related to chronic respiratory diseases and received more non-invasive positive pressure ventilation. Following adjustment for age, sex, alcohol and opiate use, socioeconomic phenotypes were not associated with increased 180-day mortality: phenotype A (reference); phenotype B (hazard ratio [HR], 0.85; 95% confidence interval CI 0.65-1.12); phenotype C (HR, 0.56; 95% CI 0.34-0.93); phenotype D (HR, 1.09; 95% CI 0.78-1.51); phenotype E (HR, 1.20; 95% CI 0.73-1.96).

CONCLUSIONS

In a universal health care system, the most deprived socioeconomic phenotypes were not associated with increased 180-day mortality. The most disadvantaged populations exhibit distinct characteristics and medical conditions that may be addressed through targeted public health interventions.

Effects of Cost Sharing on Ophthalmic Care Utilization in the Affordable Care Act Marketplace

PURPOSE

To determine the distribution and quantity of ophthalmic care consumed on Affordable Care Act (ACA) plans, the demographics of the population utilizing these services, and the relationship between ACA insurance coverage plan tier, cost sharing, and total cost of ophthalmic care consumed.

METHODS

This cross-sectional study analyzed ACA individual and small group market claims data from the Wakely Affordable Care Act (WACA) 2018 dataset, which contains detailed claims, enrollment, and premium data from Edge Servers for 3.9 million individual and small group market lives. We identified all enrollees with ophthalmology-specific billing, procedure, and national drug codes. We then analyzed the claims by plan type and calculated the total cost and out-of-pocket (OOP) cost.

RESULTS

Among 3.9 million enrollees in the WACA 2018 dataset, 538,169 (13.7%) had claims related to ophthalmology procedures, medications, and/or diagnoses. A total of $203 million was generated in ophthalmology-related claims, with $54 million in general services, $42 million in medications, $20 million in diagnostics and imaging, and $86 million in procedures. Average annual OOP costs were $116 per member, or 30.9% of the total cost, and were lowest for members with platinum plans (16% OOP) and income-driven cost sharing reduction (ICSR) subsidies (17% OOP). Despite stable ocular disease distribution across plan types, beneficiaries with silver ICSR subsidies consumed more total care than any other plan, higher than platinum plan enrollees and almost 1.5× the cost of bronze plan enrollees.

CONCLUSIONS

Ophthalmic care for enrollees on ACA plans generated substantial costs in 2018. Plans with higher OOP cost sharing may result in lower utilization of ophthalmic care.

Medicaid Expansion and Racial-Ethnic and Sex Disparities in Cardiovascular Diseases Over 6 Years: A Generalized Synthetic Control Approach

BACKGROUND

Studies have suggested Medicaid expansion enacted in 2014 has resulted in a reduction in overall cardiovascular disease (CVD) mortality in the United States. However, it is unknown whether Medicaid expansion has a similar effect across race-ethnicity and sex. We investigated the effect of Medicaid expansion on CVD mortality across race-ethnicity and sex.

METHODS

Data come from the behavioral risk factor surveillance system and the US Centers for Disease Control's Wide-ranging Online Data for Epidemiologic Research, spanning the period 2000-2019. We used the generalized synthetic control method, a quasi-experimental approach, to estimate effects.

RESULTS

Medicaid expansion was associated with -5.36 (mean difference [MD], 95% confidence interval [CI] = -22.63, 11.91) CVD deaths per 100,000 persons per year among Blacks; -4.28 (MD, 95% CI = -30.08, 21.52) among Hispanics; -3.18 (MD, 95% CI = -8.30, 1.94) among Whites; -5.96 (MD, 95% CI = -15.42, 3.50) among men; and -3.34 (MD, 95% CI = -8.05, 1.37) among women. The difference in mean difference (DMD) between the effect of Medicaid expansion in Blacks compared with Whites was -2.18; (DMD, 95% CI = -20.20, 15.83); between that in Hispanics compared with Whites: -1.10; (DMD, 95% CI = -27.40, 25.20) and between that in women compared with men: 2.62; (DMD, 95% CI = -7.95, 13.19).

CONCLUSIONS

Medicaid expansion was associated with a reduction in CVD mortality overall and in White, Black, Hispanic, male, and female subpopulations. Also, our study did not find any difference or disparity in the effect of Medicaid on CVD across race-ethnicity and sex-gender subpopulations, likely owing to imprecise estimates.

Addressing Structural Racism Through Public Policy Advocacy: A Policy Statement From the American Heart Association

During the COVID-19 pandemic, the American Heart Association created a new 2024 Impact Goal with health equity at its core, in recognition of the increasing health disparities in our country and the overwhelming evidence of the damaging effect of structural racism on cardiovascular and stroke health. Concurrent with the announcement of the new Impact Goal was the release of an American Heart Association presidential advisory on structural racism, recognizing racism as a fundamental driver of health disparities and directing the American Heart Association to advance antiracist strategies regarding science, business operations, leadership, quality improvement, and advocacy. This policy statement builds on the call to action put forth in our presidential advisory, discussing specific opportunities to leverage public policy in promoting overall well-being and rectifying those long-standing structural barriers that impede the progress that we need and seek for the health of all communities. Although this policy statement discusses difficult aspects of our past, it is meant to provide a forward-looking blueprint that can be embraced by a broad spectrum of stakeholders who share the association's commitment to addressing structural racism and realizing true health equity.

Critical Lessons in Tailoring Interventions: Listening to WISEWOMAN Participants

PURPOSE

To explore perspectives of participants in the WISEWOMAN program in Pennsylvania (PA-WISE) on challenges and facilitators of reducing cardiovascular disease risk as low-income and un-/under-insured middle-aged women.

APPROACH

Researchers conducted this 2 year qualitative data collection as one component of a broader, 5 year PA-WISE process and outcome evaluation.

SETTING

Women from across Pennsylvania, primarily from rural communities.

PARTICIPANTS

Interviewees were low-income, un-/under-insured women aged 40-64 years who had recently participated in PA-WISE-facilitated health coaching and lifestyle programs (HC/LSPs).

METHODS – DATA COLLECTION AND ANALYSIS

Researchers conducted individual telephone interviews with 38 women from four discrete samples of PA-WISE participants at 4 time points. Three researchers used grounded theory, and an iterative process of line-by-line coding, data display, and reanalysis to identify emerging themes, sub-themes, and their relationships.

RESULTS

Participants shared the important benefits of specific PA-WISE program traits. However, participants described significant financial constraints, difficult schedules, caregiving responsibilities, and insufficient social support as persistent challenges in their lives, making lifestyle changes in general, and program participation specifically, difficult.

CONCLUSION

The challenges that low-income and un-/under-insured women identified amplify the importance of having interventions that offer flexibility, options, and tailoring of supports and resources. The timeless challenges articulated by participants in this study completed just before the COVID-19 pandemic, remain relevant to be addressed through the pandemic and beyond.

Accessing Care Services for Long COVID Sufferers in Alberta, Canada: A Random, Cross-Sectional Survey Study

Designing appropriate rehabilitation programs for long COVID-19 remains challenging. The purpose of this study was to explore the patient experience of accessing long COVID-19 rehabilitation and recovery services. In this cross-sectional, observational study, a telephone survey was administered to a random sample of persons with long COVID-19 in a Canadian province. Participants included adults who tested positive for COVID-19 between March and October 2021. Survey respondents (n = 330) included individuals who had been previously hospitalized for COVID-19 (n = 165) and those who had not been hospitalized ('non-hospitalized') for COVID-19 (n = 165). Significantly more previously hospitalized respondents visited a family doctor for long COVID-19 symptoms compared to non-hospitalized respondents (hospitalized: n = 109 (66.1%); non-hospitalized: n = 25 (15.2%); (p < 0.0001)). Previously hospitalized respondents reported significantly more referrals to specialty healthcare providers for long COVID-19 sym`ptoms (hospitalized: n = 45 (27.3%); non-hospitalized: n = 6 (3.6%); (p < 0.001)). A comparable number of respondents in both groups accessed care services that did not require a referral to manage their long COVID-19 symptoms (hospitalized: n = 31 (18.8%); non-hospitalized: n = 20 (12.1%); (p = 0.20)). These findings demonstrate the diversity of recovery services used by individuals with long COVID-19 and emphasize the need for multidisciplinary long COVID-19 rehabilitation and recovery care pathways.

The impact of delay and prehospital factors on acute appendicitis severity in New Zealand children: a national prospective cohort study

BACKGROUND

Appendicitis is the most common reason children undergo acute general surgery but international, population-level disparities exist. This is hypothesised to be caused by preoperative delay and differential access to surgical care. The impact of prehospital factors on paediatric appendicitis severity in New Zealand is unknown.

METHODS

A prospective, multicentre cohort study with nested parental questionnaire was conducted by a national trainee-led collaborative group. Across 14 participating hospitals, 264 patients aged ≤16 years admitted between January and June 2020 with suspected appendicitis were screened. The primary outcome was the effect of prehospital factors on the American Association for the Surgery of Trauma (AAST) anatomical severity grade.

RESULTS

Overall, 182 children had confirmed appendicitis with a median age of 11.6. The rate of complicated appendicitis rate was 38.5% but was significantly higher in rural (44.1%) and Māori children (54.8%). Complicated appendicitis was associated with increased prehospital delay (47.8 h versus 20.1 h; P < 0.001), but not in-hospital delay (11.3 h versus 13.3 h; P = 0.96). Multivariate analysis revealed increased anatomical severity in rural (OR 4.33, 95% CI 1.78-7.25; P < 0.001), and Māori children (OR 2.39, 95% CI 1.24-5.75; P = 0.019), as well as in families relying on external travel sources or reporting unfamiliarity with appendicitis symptomology.

CONCLUSION

Prehospital delay and differential access to prehospital determinants of health are associated with increased severity of paediatric appendicitis. This manifested as increased severity of appendicitis in rural and Māori children. Understanding the pre-hospital factors that influence the timing of presentation can better inform health-system improvements.

Cost-Related Access Barriers, Medical Debt, and Dissatisfaction with Care Among Privately Insured Americans

BACKGROUND

Understanding experiences with private important to improving the quality of health care coverage.

OBJECTIVE

To examine the association of health with cost-related access barriers, medical debt, and dissatisfaction with care among privately insured Americans.

DESIGN

We classified Americans with private insurance by self-reported health status into five groups (excellent, very good, good, fair, and poor health). We examined self-reported difficulty seeing a doctor due to costs, not taking medications due to costs, medical debt, and dissatisfaction with care among individuals with differing health status. We used logistic regression to examine the association of health status with individuals' experiences after accounting for baseline characteristics. The analysis was repeated among individuals with different forms of private insurance. Odds ratios were converted to risk ratios to improve ease of interpretation of the results.

SETTING

Behavioral Risk Factor Surveillance System of Americans in 17 states RESULTS: The sample included 82,494 US adults with private insurance. Following adjustment, compared to individuals with excellent health those in very good health, good health, fair health, and poor health reported increasingly higher risks of difficulty seeing a doctor due to costs with risk ratios of 1.02 (95% CI 1.01, 1.03), 1.07 (95% CI 1.06, 1.08), 1.18 (95% CI 1.17, 1.20), and 1.29 (95% CI 1.27, 1.31), respectively. Compared to individuals with excellent health, those in very good health, good health, fair health, and poor health reported increasingly higher risks of not taking medication due to costs, outstanding medical debt, and dissatisfaction with care. Similar relationships were seen across individually purchased and employer-sponsored insurance.

CONCLUSION

Cost-related access barriers, medical debt, and dissatisfaction with care were common among individuals with private insurance and most pronounced among those with fair and poor health who likely need and use their health insurance the most.

Telehealth care before and during COVID-19: trends and quality in a large health system

Objective

COVID-19 accelerated telehealth use to ensure care delivery, but there is limited data on the patient perspective. This study aimed to examine telehealth visit uptake before and during COVID-19 and correlates of patient satisfaction and interest in future telehealth visits.

Materials and Methods

This was a cross-sectional observational study between October 2019 and April 2020. Participants included patients who completed satisfaction surveys following telehealth visits.

Results

A total of 8930 patients completed the satisfaction survey using 4-point Likert Scales. Multivariable, hierarchical, cumulative logit models were constructed to examine correlates of satisfaction with quality of care and interest in future telehealth visits. Most patients were satisfied with the patient portal, video quality, and instructions (92.7%-96.8%). Almost half reported saving 1-2 h (46.9%). Correlates positively associated with quality of care and interest in future telehealth visits were ease of patient portal (odds ratio [OR], 1.43, 95% confidence interval [CI], 1.30-1.58; OR, 1.56, 95% CI, 1.41-1.73, respectively), video quality (OR, 1.62, 95% CI, 1.50-1.75; OR, 1.26, 95% CI, 1.16-1.37, respectively), instructions (OR, 5.62, 95% CI, 5.05-6.26; OR, 1.80, 95% CI, 1.62-2.01, respectively), and time saved (>4 h: OR, 1.69, 95%,CI, 1.22-2.34; OR, 3.49, 95% CI, 2.47-4.93, respectively). Being seen after the COVID-19 surge in telehealth (OR, 0.76, 95% CI, 0.63-0.93) or by providers with higher visit volume (OR, 0.71, 95% CI, 0.60-0.85) was associated with lower interest in future telehealth visits.

Conclusions

Patients expressed relatively high satisfaction levels with telehealth. Better technical quality, quality of instructions, and greater time saved were associated with higher satisfaction ratings. To maintain interest in future telehealth use and improve the patient experience, we must enhance the quality of telehealth delivery platforms and instructions provided to patients.

The Association between Race/Ethnicity and Cancer Stage at Diagnosis of Bone Malignancies: A Retrospective Cohort Study

INTRODUCTION AND OBJECTIVE

Limited data exists analyzing disparities in diagnosis regarding primary bone neoplasms (PBN). The objective of our study was to determine if there is an association between race/ethnicity and advanced stage of diagnosis of PBN.

METHODS

This population-based retrospective cohort study included patient demographic and health information extracted from the National Cancer Institute Surveillance, Epidemiology, and End Results Program (SEER). The main exposure variable was race/ethnicity categorized as non-Hispanic white (NH-W), non-Hispanic black (NH-B), non-Hispanic Asian Pacific Islander (NH-API), and Hispanic. The main outcome variable was advanced stage at diagnosis. Age, sex, tumor grade, type of bone cancer, decade, and geographic location were co-variates. Unadjusted and adjusted logistic regression analyses were conducted calculating odds ratios (OR) and corresponding 95% confidence intervals.

RESULTS

Race/ethnicity was not statistically significantly associated with advanced-stage disease. Adjusted OR for NH-B was 0.94 (95% CI: 0.78-1.38), for NH-API 1.07 (95% CI: 0.86-1.33) and for Hispanic 1.03 (95% CI: 0.85-1.25).

CONCLUSIONS

The lack of association between race and advanced stage of disease could be due to high availability and low cost for initial management of bone malignancies though plain radiographs. Future studies may include socioeconomic status and insurance coverage as covariates in the analysis.

Factors Responsible for Prehospital Delay in Patients with Acute Coronary Syndrome in Bangladesh

Background: Acute coronary syndrome (ACS) remains a cause of high morbidity and mortality among adults, despite advances in treatment. Treatment modality and outcomes of ACS mainly depend on the time yielded since the onset of symptoms. Prehospital delay is the time between the onset of myocardial ischemia/infarction symptoms and arrival at the hospital, where either pharmacological or interventional revascularization is available. This delay remains unacceptably long in many countries worldwide, including Bangladesh. The current study investigates several sociodemographic characteristics as well as clinical, social, and treatment-seeking behaviors, with an aim to uncover the factors responsible for the decision time to get medical help and home-to-hospital delay. Materials and Methods: A prospective cross-sectional study was conducted between July 2019 and June 2020 in 21 district hospitals and 6 medical college hospitals where cardiac care facilities were available. The population selected for this study was patients with ACS who visited the studied hospitals during the study period. Following confirmation of ACS, a semi-structured data sheet was used to collect the patient data and was subsequently analyzed. Results: This study evaluated 678 ACS patients from 30 districts. The majority of the patients were male (81.9%), married (98.2%), rural residents (79.2), middle-aged (40–60 years of age) (55.8%), low-income holders (89.4%), and overweight (56.9%). It was found that 37.5% of the patients received their first medical care after 12 h of first symptom presentation. The study found that the patients’ age, residence, education, and employment status were significant factors associated with prehospital delay. The patients with previous myocardial infarction (MI) and chest pain arrived significantly earlier at the hospital following ACS onset. Location of symptom onset, first medical contact with a private physician, distance from symptom onset location to location of first medical contact, the decision about hospitalization, ignorance of symptoms, and mode of transportation were significantly associated with prehospital delay. Conclusions: Several factors of prehospital delay of the ACS patients in Bangladesh have been described in this study. The findings of this study may help the national health management system identify the factors related to treatment delay in ACS and thus reduce ACS-related morbidity and mortality.

Association of country economy and socioeconomic factors on risk factor control for primary prevention of cardiovascular disease in patients with diabetes mellitus: Insights from the DISCOVER Study

BACKGROUND

We sought to describe global patterns in achievement of risk factor control for primary prevention in patients with T2D and explore the association of country's GNI/capita with risk factor control.

METHODS

The DISCOVER study is a prospective, observational study of patients with T2D from 38 countries enrolled at initiation of second-line glucose-lowering therapy. We examined achievement of risk factor control (glycosylated hemoglobin <7%, blood pressure <140/90 mmHg, prescription of a statin) at 3 years among those without optimal control at baseline. Countries were stratified by gross national income (GNI)/capita, from 2017). We examined the impact of country GNI/capita with achievement of risk factor control.

FINDINGS

Our cohort included 9613 patients with T2D and without baseline cardiovascular disease (mean age 57.2 ± 8.7 years, 47.9% women). At baseline, 6354/7646 patients (83.1%) had suboptimal glucose control, 3449/9200 patients (37.5%) had suboptimal BP control, and 2800/4221 patients (66.7%) were not on an appropriate statin (sample sizes differed due to missing covariate data). Optimal control at 3 years of follow-up was achieved in 41% (glucose), 56% (blood pressure), and 29% (statins) of patients. There was significant variability in achievement of risk factor control across countries but no association between country GNI/capita with achievement of risk factor control (p>0.08 for all).

INTERPRETATION

In a global, prospective study of patients with T2D, we found that cardiovascular risk factor control achievement was suboptimal despite 3 years of follow-up in specialized health care systems. Neither country-level nor patient-level socioeconomic factors fully explained this finding.

Impact of Financial Considerations on Willingness to Take Sacubitril/Valsartan for Heart Failure

Background Sacubitril/valsartan improves health outcomes for heart failure with reduced ejection fraction relative to angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, but it carries higher out-of-pocket costs. Neither the impact of cost nor how to integrate cost into medical decisions is well studied. Methods and Results To evaluate the impact of out-of-pocket costs and a novel cost-priming intervention on willingness to take sacubitril/valsartan for heart failure with reduced ejection fraction, participants with self-reported heart disease were surveyed using the online Ipsos Knowledge Panel. Participants were presented with a modified decision aid for sacubitril/valsartan and then, in a 3×2 factorial design, randomly assigned to 1 of 3 cost conditions ($10, $50, or $100/month) and to a control group or cost-priming intervention, defined by being asked questions about their financial situation before learning about the benefits of sacubitril/valsartan. Of the 1013 participants included in the analysis, 85% of respondents were willing to take sacubitril/valsartan at $10, 62% at $50, and 33% at $100 (P<0.0001). In a multivariable logistic regression model, participants were more likely to take sacubitril/valsartan at $10 versus $100 (odds ratio [OR], 14.3 [95% CI, 9.4-21.8]) and $50 compared with $100 (OR, 3.6 [95% CI, 2.5-5.1]). Overall, participants in the cost-primed group were more willing to take sacubitril/valsartan than those not primed to consider their financial situation (63% versus 56%, P=0.04). There was no statistically significant interaction between cost conditions and cost priming. Perceived benefit of sacubitril/valsartan over angiotensin-converting enzyme inhibitors or angiotensin receptor blockers decreased as cost increased but did not vary by cost priming. Conclusions Commonly encountered out-of-pocket costs of sacubitril/valsartan may impact individuals' willingness to take the medication even when recommended by their physicians. Priming individuals to consider personal finances before learning about the drug increased willingness to take sacubitril/valsartan.

The American Public Health Association Endorses Single-Payer Health System Reform

Health care is a human right. Achieving universal health insurance coverage for all US residents requires significant system-wide reform. The most equitable and cost-effective health care system is a public, single-payer (SP) system. The rapid growth in national health expenditures can be addressed through a system that yields net savings over projected trends by eliminating profit and waste. With universal health insurance coverage through SP financing, providers can focus on optimizing delivery of services, rather than working within a system covered by payers who have incentives to limit costs regardless of benefit. Rather, with a SP, the people act as their own insurer through a partnership with provider organizations where tax dollars work for everyone. Consumer choice is then based on the best care to meet need with no out-of-pocket payments. SP financing is the best option to ensure equity, fairness, and public health priorities align with medical needs, providing incentives for wellness. Consumer choice will drive market forces, not provider network profits or insurer restrictions. This approach benefits public health, as everyone will have universal access to needed care, with treatment plans developed by providers based on what works best for the patient. In 2021, the American Public Health Association adopted a policy statement calling for comprehensive reforms to implement a SP system. The proposed action steps in this policy will help build a healthier nation, saving lives and reducing wasted health care expenditures while addressing inequities rooted in social, demographic, mental health, economic, and political determinants.

Delay of routine health care during the COVID-19 pandemic: A qualitative study of individuals’ risk assessment and decision making

Delaying routine health care has been prevalent during the COIVD-19 pandemic. Macro-level data from this period reveals that U.S. patients under-utilized routine health care services such as primary care visits, preventative tests, screenings, routine optometry care, dental appointments, and visits for chronic disease management. Yet, there is a gap in research on how and why patients understand risks associated with seeking or delaying routing health care during an infectious disease pandemic. Our research addresses this gap based on semi-structured interviews with 40 participants living in regions across the United States. By building upon Unger-Saldaña and Infante-Castañeda's model of delayed health care, we extend this model by articulating how health care delays happen during an infectious disease pandemic. Specifically, we show how perceptions of uncertainty and subjective risk assessments shape people's decisions to delay routine health care while they operate at two levels, internal and external to one's social bubble, interacting with each other.

Job Burnout Is Associated With Prehospital Decision Delay: An Internet-Based Survey in China

Background

Prehospital delay is associated with non-modifiable factors such as age, residential region, and disease severity. However, the impact of psychosocial factors especially for job burnout on prehospital decision delay is still little understood.

Method

This internet-based survey was conducted between 14 February 2021 and 5 March 2021 in China through the Wechat platform and web page. Self-designed questionnaires about the expected and actual length of prehospital decision time and the Chinese version of Maslach Burnout Inventory-General Survey, Type D Personality Scale-14, and Social Support Rating Scale were applied. A total of 1,039 general participants with a history of perceptible but tolerable body discomfort were included.

Results

The top six reasons for prehospital decision delay were: (1) endure until self-healing (50.7%), (2) too busy to ask for leave (40.3%), (3) process for seeing a doctor too complicated (35.8%), (4) too tired after work (26.2%), (5) worry about the expenditure (16.6%), and (6) fear of being identified as with serious problem (14.5%). The univariate analyses revealed that older age (p = 0.001), type D personality (p = 0.025), job burnout (p = 0.055), and worrying about expenditure (p = 0.004) were associated with prolonged prehospital decision time, while engaged in medical-related job (p = 0.028) and with more social support (p = 0.066) would shorten the delay. The multivariate analysis using logistic regression model with forward selecting method showed that age [per 10 years, odds ratio (OR) 1.19 (1.09–1.31), p < 0.001], job burnout [per 10 points in Maslach Burnout Inventory-General Survey (MBI-GS), OR 1.17 (1.04–1.31), p = 0.007], and worrying about expenditure [OR 1.75 (1.25–2.47), p = 0.001] were the three determinants for prehospital decision delay (>7 days). Mediating effects were analyzed by using bias-corrected percentile bootstrap methods (N = 10,000). Social support was found partially mediated the relationship between the determinants and prehospital decision time. The partial mediating effect of social support accounted for 24.0% of the total effect for job burnout and 11.6% for worrying about expenditure.

Conclusion

Psychosocial factors have a non-negligible impact on prehospital decision delay. The crucial part of prehospital decision delay may be the lack of motivation inside. Job burnout and lack of social support, as two commonly seen features in the modern world, should be given enough consideration in disease prevention and treatment.

Delays to Hospital Presentation in Women and Men with ST-Segment Elevation Myocardial Infarction: A Multi-Center Analysis of Patients Hospitalized in New York City

Purpose

Previous studies have shown longer delays from symptom onset to hospital presentation (S2P time) in women than men with acute myocardial infarction. The aim of this study is to understand the reasons for delays in seeking care among women and men presenting with an ST-Segment Elevation Myocardial Infarction (STEMI) through a detailed assessment of the thoughts, perceptions and patterns of behavior.

Patients/Methods and Results

A total of 218 patients with STEMI treated with primary angioplasty at four New York City Hospitals were interviewed (24% female; Women: 68.7 ± 13.1 years and men: 60.7 ± 13.8 years) between January 2009 and August 2012. A significantly larger percentage of women than men had no chest pain (62% vs 36%, p<0.01). Compared to men, a smaller proportion of women thought they were having a myocardial infarction (15% vs 34%, p=0.01). A larger proportion of women than men had S2P time >90 minutes (72% of women vs 54% of men, p= 0.03). Women were more likely than men to hesitate before seeking help, and more women than men hesitated because they did not think they were having an AMI (91% vs 83%, p=0.04). Multivariate regression analysis showed that female sex (Odds Ratio: 2.46, 95% CI 1.10–5.60 P=0.03), subjective opinion it was not an AMI (Odds Ratio 2.44, 95% CI 1.20–5.0, P=0.01) and level of education less than high school (Odds ratio 7.21 95% CI 1.59–32.75 P=0.01) were independent predictors for S2P >90 minutes.

Conclusion

Women with STEMI have longer pre-hospital delays than men, which are associated with a higher prevalence of atypical symptoms and a lack of belief in women that they are having an AMI. Greater focus should be made on educating women (and men) regarding the symptoms of STEMI, and the importance of a timely response to these symptoms.

Examining Predictors of Myocardial Infarction

Cardiovascular diseases are the leading cause of death in the United States. This study analyzed predictors of myocardial infarction (MI) for those aged 35 and older based on demographic, socioeconomic, geographic, behavioral, and risk factors, as well as access to healthcare variables using the Center for Disease (CDC) Control Behavioral Risk Factor Surveillance System (BRFSS) survey for the year 2019. Multiple quasibinomial models were generated on an 80% training set hierarchically and then used to forecast the 20% test set. The final training model proved somewhat capable of prediction with a weighted F1-Score = 0.898. A complete model based on statistically significant variables using the entirety of the dataset was compared to the same model built on the training set. Models demonstrated coefficient stability. Similar to previous studies, age, gender, marital status, veteran status, income, home ownership, employment status, and education level were important demographic and socioeconomic predictors. The only geographic variable that remained in the model was associated with the West North Central Census Division (in-creased risk). Statistically important behavioral and risk factors as well as comorbidities included health status, smoking, alcohol consumption frequency, cholesterol, blood pressure, diabetes, stroke, chronic obstructive pulmonary disorder (COPD), kidney disease, and arthritis. Three access to healthcare variables proved statistically significant: lack of a primary care provider (Odds Ratio, OR = 0.853, p < 0.001), cost considerations prevented some care (OR = 1.232, p < 0.001), and lack of an annual checkup (OR = 0.807, p < 0.001). The directionality of these odds ratios is congruent with a marginal effects model and implies that those without MI are more likely not to have a primary provider or annual checkup, but those with MI are more likely to have missed care due to the cost of that care. Cost of healthcare for MI patients is associated with not receiving care after accounting for all other variables.

Associations of Medicaid Expansion With Access to Care, Severity, and Outcomes for Acute Ischemic Stroke

BACKGROUND

Multiple states have not expanded Medicaid under the Affordable Care Act, resulting in higher uninsured rates in states with high stroke burdens. This study aimed to evaluate the association of Medicaid expansion with changes in health insurance coverage, severity of presentation, access to care, and outcomes among patients with acute ischemic stroke.

METHODS

A retrospective, difference-in-differences analysis of Get With The Guidelines-Stroke registry data. The study population comprised first-time ischemic stroke admissions from 2012 to 2018 for patients aged 19 to 64 in 45 states (27 that expanded Medicaid and 18 that did not). A probable low-income cohort was defined based on having Medicaid, no insurance/self-pay, or undocumented insurance. Outcomes analyzed were indicators of health insurance status, stroke severity, use of emergency services, time to acute care, in-hospital mortality, receipt of rehabilitation, discharge disposition, and level of disability.

RESULTS

In the starting population (N=342 765), Medicaid-covered stroke admissions rose from 12.2% to 18.1% in expansion states and from 10.0% to only 10.6% in nonexpansion states, while uninsured admissions declined from 15.0% to 6.7% in expansion states and from 24.0% to 19.2% in nonexpansion states. In the low-income cohort (N=95 086; 28% of starting population), Medicaid expansion was associated with increased odds of discharge to a skilled nursing facility (adjusted odds ratio, 1.33 [95% CI, 1.12-1.59]) and transfer to any rehabilitation facility among those eligible (adjusted odds ratio, 1.24 [95% CI, 1.08-1.41]) and lower odds of discharge home (adjusted odds ratio, 0.89 [95% CI, 0.80-0.98]). Expansion was not associated with any other outcomes.

CONCLUSIONS

Medicaid expansion is associated with fewer uninsured hospitalizations for acute ischemic stroke and increased rehabilitation at skilled nursing facilities. More targeted interventions may be needed to improve other stroke outcomes in the low-income US population. Future research should evaluate the impact of health care reform on primary stroke prevention.

Patient profiles and health status outcomes for peripheral artery disease in high-income countries: a comparison between the USA and The Netherlands

AIMS

Peripheral artery disease (PAD) is a global disease. Understanding variability in patient profiles and PAD-specific health status outcomes across health system countries can provide insights into improving PAD care. We compared these features between two high-income countries, the USA and The Netherlands.

METHODS AND RESULTS

Patients were identified from the patient-centred outcomes related to treatment practices in peripheral arterial disease: investigating trajectories study-a prospective, international registry of patients presenting to vascular specialty clinics for new onset, or exacerbation of PAD symptoms. PAD-specific health status was measured with the peripheral artery questionnaire. General linear mixed models for repeated measures were used to study baseline, 3, 6, and 12-month PAD-specific health status outcomes (peripheral artery questionnaire summary score) between the USA and The Netherlands. Out of a total of 1114 patients, 748 patients (67.1%) were from the USA and 366 (32.9%) from The Netherlands. US patients with PAD were older, with more financial barriers, higher cardiovascular risk factor burden, and lower referral rates for exercise treatment (P < 0.001). They had significantly worse PAD-specific adjusted health status scores at presentation, 3, 6, and 12 months of follow-up (all P < 0.0001). Magnitude of change in 1-year health status scores was smaller in the US cohort when compared with The Netherlands.

CONCLUSION

Compared with the Dutch cohort, US patients had worse adjusted PAD-specific health status scores at all time point, improving less over time, despite treatment. Leveraging inter-country differences in care and outcomes could provide important insights into optimizing PAD outcomes.

CLINICAL TRIAL REGISTRATION

https://clinicaltrials.gov/ct2/show/NCT01419080? term=portrait&rank=1 NCT01419080.

Influence of primary payer status on non-ST-segment elevation myocardial infarction: 18-year retrospective cohort national temporal trends, management and outcomes

Background

The role of insurance on outcomes in non-ST-segment-elevation myocardial infarction (NSTEMI) patients is limited in the contemporary era.

Methods

From the National Inpatient Sample, adult NSTEMI admissions were identified [2000–2017]. Expected primary payer was classified into Medicare, Medicaid, private, uninsured and others. Outcomes included in-hospital mortality, overall and early coronary angiography, percutaneous coronary intervention (PCI), resource utilization and discharge disposition.

Results

Of the 7,290,565 NSTEMI admissions, Medicare, Medicaid, private, uninsured and other insurances were noted in 62.9%, 6.1%, 24.1%, 4.6% and 2.3%, respectively. Compared to others, those with Medicare insurance older (76 vs. 53–60 years), more likely to be female (48% vs. 25–44%), of white race, and with higher comorbidity (all P<0.001). Population from the Medicare cohort had higher in-hospital mortality (5.6%) compared to the others (1.9–3.4%), P<0.001. With Medicare as referent, in-hospital mortality was higher in other {adjusted odds ratio (aOR) 1.15 [95% confidence interval (CI), 1.11–1.19]; P<0.001}, and lower in Medicaid [aOR 0.95 (95% CI, 0.92–0.97); P<0.001], private [aOR 0.77 (95% CI, 0.75–0.78); P<0.001] and uninsured cohorts [aOR 0.97 (95% CI, 0.94–1.00); P=0.06] in a multivariable analysis. Coronary angiography (overall 52% vs. 65–74%; early 15% vs. 22–27%) and PCI (27% vs. 35–44%) were used lesser in the Medicare population. The Medicare population had longer lengths of stay, lowest hospitalization costs and fewer home discharges.

Conclusions

Compared to other types of primary payers, NSTEMI admissions with Medicare insurance had lower use of coronary angiography and PCI, and higher in-hospital mortality.

Acute myocardial infarction in the Covid-19 era: Incidence, clinical characteristics and in-hospital outcomes-A multicenter registry

Background

We aimed to describe the characteristics and in-hospital outcomes of ST-segment elevation myocardial infarction (STEMI) patients during the Covid-19 era.

Methods

We conducted a prospective, multicenter study involving 13 intensive cardiac care units, to evaluate consecutive STEMI patients admitted throughout an 8-week period during the Covid-19 outbreak. These patients were compared with consecutive STEMI patients admitted during the corresponding period in 2018 who had been prospectively documented in the Israeli bi-annual National Acute Coronary Syndrome Survey. The primary end-point was defined as a composite of malignant arrhythmia, congestive heart failure, and/or in-hospital mortality. Secondary outcomes included individual components of primary outcome, cardiogenic shock, mechanical complications, electrical complications, re-infarction, stroke, and pericarditis.

Results

The study cohort comprised 1466 consecutive acute MI patients, of whom 774 (53%) were hospitalized during the Covid-19 outbreak. Overall, 841 patients were diagnosed with STEMI: 424 (50.4%) during the Covid-19 era and 417 (49.6%) during the parallel period in 2018. Although STEMI patients admitted during the Covid-19 period had fewer co-morbidities, they presented with a higher Killip class (p value = .03). The median time from symptom onset to reperfusion was extended from 180 minutes (IQR 122–292) in 2018 to 290 minutes (IQR 161–1080, p < .001) in 2020. Hospitalization during the Covid-19 era was independently associated with an increased risk of the combined endpoint in the multivariable regression model (OR 1.65, 95% CI 1.03–2.68, p value = .04). Furthermore, the rate of mechanical complications was four times higher during the Covid-19 era (95% CI 1.42–14.8, p-value = .02). However, in-hospital mortality remained unchanged (OR 1.73, 95% CI 0.81–3.78, p-value = .16).

Conclusions

STEMI patients admitted during the first wave of Covid-19 outbreak, experienced longer total ischemic time, which was translated into a more severe disease status upon hospital admission, and a higher rate of in-hospital adverse events, compared with parallel period.

Predicting a Need for Financial Assistance in Emergency Department Care

Identifying patients with a low likelihood of paying their bill serves the needs of patients and providers alike: aligning government programs with their target beneficiaries while minimizing patient frustration and reducing waste among emergency physicians by streamlining the billing process. The goal of this study was to predict the likelihood of patients paying the balance of their emergency department visit bill within 90 days of receipt. Three machine learning methodologies were applied to predict payment: logistic regression, decision tree, and random forest. Models were trained and performance was measured using 1,055,941 patients with non-zero balances across 27 EDs from 1 August 2015 to 31 July 2017. The decision tree accurately predicted 87% of unsuccessful payments, providing significant opportunities to identify patients in need of financial assistance.

Impact of insurance status on ICD implantation practice patterns: Insights from the NCDR ICD registry

BACKGROUND

Whether insurance status influences practice patterns in implantable cardioverter-defibrillators (ICDs) and cardiac resynchronization therapy (CRT) defibrillators, when indicated, is not known.

METHODS AND RESULTS

We analyzed the NCDR ICD Registry to evaluate associations of insurance status with guidelines-based receipt of CRT, as well as device-type, complication rates, and use of optimal medical therapy defined by guidelines. Among 798,028 patients with de novo ICD implants, we included only patients < 65 years (those older have Medicare) and excluded those admitted before 2006 (n=1,835) or with insurance coverage other than Medicare, Medicaid or private insurance (n=25,695) leaving 286,556 for analysis. Inverse probability of treatment weighting was used to control for imbalances between groups. Mean age was 53 years, 29% were female. Patients with private insurance and Medicare were more likely to receive CRT-D when indicated (79.6%, OR 1.19 95% CI 1.09-1.28, P <.001 and 78.5%, OR 1.11 95% CI 1.01-1.21 P = .03, respectively) compared to the uninsured (76.7%). The uninsured were also more likely than other groups to receive a single-chamber device. Complication rates did not differ. Uninsured patients were, however, more likely to receive optimal medical therapy, particularly in the subgroup receiving the implant for primary prevention.

CONCLUSIONS

In propensity-weighted analysis, uninsured patients are less likely to receive CRT when indicated but more likely to be receiving optimal medical therapy at discharge. Reasons for differences in device implantation practices based on insurance status require further study.

Unusual Fatigue and Failure to Utilize EMS Are Associated With Prolonged Prehospital Delay for Suspected Acute Coronary Syndrome

BACKGROUND

Rapid reperfusion reduces infarct size and mortality for acute coronary syndrome (ACS), but efficacy is time dependent. The aim of this study was to determine if transportation factors and clinical presentation predicted prehospital delay for suspected ACS, stratified by final diagnosis (ACS vs. no ACS).

METHODS

A heterogeneous sample of emergency department (ED) patients with symptoms suggestive of ACS was enrolled at 5 US sites. Accelerated failure time models were used to specify a direct relationship between delay time and variables to predict prehospital delay by final diagnosis.

RESULTS

Enrolled were 609 (62.5%) men and 366 (37.5%) women, predominantly white (69.1%), with a mean age of 60.32 (±14.07) years. Median delay time was 6.68 (confidence interval 1.91, 24.94) hours; only 26.2% had a prehospital delay of 2 hours or less. Patients presenting with unusual fatigue [time ratio (TR) = 1.71, P = 0.002; TR = 1.54, P = 0.003, respectively) or self-transporting to the ED experienced significantly longer prehospital delay (TR = 1.93, P < 0.001; TR = 1.71, P < 0.001, respectively). Predictors of shorter delay in patients with ACS were shoulder pain and lightheadedness (TR = 0.65, P = 0.013 and TR = 0.67, P = 0.022, respectively). Predictors of shorter delay for patients ruled out for ACS were chest pain and sweating (TR = 0.071, P = 0.025 and TR = 0.073, P = 0.032, respectively).

CONCLUSION

Patients self-transporting to the ED had prolonged prehospital delays. Encouraging the use of EMS is important for patients with possible ACS symptoms. Calling 911 can be positively framed to at-risk patients and the community as having advanced care come to them because EMS capabilities include 12-lead ECG acquisition and possibly high-sensitivity troponin assays.

Risk Factors and Outcomes of Treatment Delays in Lyme Disease: A Population-Based Retrospective Cohort Study

Background: Longer time between symptom onset and treatment of Lyme disease has been associated with poor outcomes. Reducing time-to-treatment requires knowledge of risks for treatment delays. We conducted a population-based study to evaluate factors associated with delayed treatment of Lyme disease and the relation between delayed treatment and post-treatment Lyme disease syndrome (PTLDS). Methods: We mailed questionnaires to 5,314 individuals with a Lyme disease diagnosis or blood test followed by an antibiotic order in the medical record of a Pennsylvania health system from 2015 to 2017. Analyses were confined to 778 respondents who reported that they were treated for Lyme disease within the past 5 years and reported a rash and/or a positive blood test for Lyme disease. Time-to-treatment was calculated as the sum of two windows before and after seeking care for Lyme disease symptoms: time to first medical contact and time under care. We used logistic regression to evaluate factors associated with delayed time-to-treatment in each time window (>14 days vs. ≤14 days) and the association between total time-to-treatment (>30 days vs. ≤30 days) and PTLDS. We used inverse probability weighting to calculate estimates for the study's source population (5,314 individuals sent questionnaires). Results: In the source population, 25% had time to first contact >14 days, 21% had time under care >14 days, and 31% had a total time-to-treatment >30 days. Being uninsured and attributing initial symptoms to something other than Lyme disease were positively associated with delayed time to first medical contact, while seeking care at an urgent care or emergency setting (vs. primary care) was negatively associated. Diagnoses between November and April, and the absence of rash were positively associated with delays. Individuals whose treatment was delayed, defined as time-to treatment >30 days had 2.26 (95% confidence interval: 1.25, 4.05) times the odds of PTLDS as those who were treated within 30 days of symptom onset. Conclusions: In a population-based study in Pennsylvania, one-third of Lyme disease patients reported delayed treatment, which was associated with PTLDS. To improve Lyme disease outcomes, prevention efforts should aim to reduce the time before and after seeking care.

Factors affecting time between symptom onset and emergency department arrival in stroke patients

Background and purpose

Delays in seeking care compromise diagnosis, treatment options, and outcomes in ischemic strokes. This study identified factors associated with time between stroke symptom onset and emergency department (ED) arrival at a private nonprofit medical center serving a large rural catchment area in central Texas, with the goal of identifying symptomatic, demographic, and historical factors that might influence seeking care.

Methods

Demographic and clinical data from a large tertiary care center's Get With The Guidelines (GWTG) database were evaluated in 1874 patients presenting to the ED with a diagnosis of transient ischemic attack (TIA), intracranial hemorrhage, subarachnoid hemorrhage, or ischemic stroke. The dependent variable was time between discovery of stroke symptoms and presentation at the hospital (time-to-ED). Factors entered into regression models predicting time-to-ED within 4 h or categorical time-to-ED.

Results

The average time from symptom onset to presentation was 15.0 h (sd = 23.2), with 43.6% of the sample presenting within 4 h of symptom onset. Results suggested that female gender (Odds Ratio [OR] = 0.70; 95% Confidence Interval [CI] 0.23–0.74), drug abuse (OR = 0.41; CI 0.23–0.74), and diabetes were significantly associated with longer time to presentation.

Conclusions

A combination of demographics, stroke severity, timing, and health history contributes to delays in presenting for treatment for ischemic stroke. Stroke education concentrating on symptom recognition may benefit from a special focus on high-risk individuals as highlighted in this study.

•

Patients that had stroke symptoms occurring during the daytime were more likely to present within 4h of symptom onset.

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Females and younger patients were more likely to arrive after 4h of symptom onset.

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Comorbid conditions such as diabetes and substance abuse were associated with delayed presentation times.

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Other comorbid conditions such as hypertension or dyslipidemia were not associated with decreased time of presentation.

Role of health insurance and neighborhood-level social deprivation on hypertension control following the affordable care act health insurance opportunities

OBJECTIVES

To understand if neighborhood-level social deprivation moderates the association between gaining health insurance and improved hypertension control.

METHODS

We used electronic health record (EHR) data from the Accelerating Data Value Across a National Community Health Center Network (ADVANCE) clinical data research network from five states that expanded Medicaid eligibility (CA, OH, OR, WA, WI). We include patients with hypertension aged 19-64. Controlled hypertension was assessed for four groups pre-(1/1/2012-12/31/2013) to post-(1/1/2014-12/31/2017) Affordable Care Act (ACA) Medicaid expansion: (1) newly insured, (2) continuously insured, (3) discontinuously insured, and (4) continuously uninsured. We also used Social Deprivation Index score to derive predicted probability of controlled hypertension using logistic mixed effects.

RESULTS

N = 28,485 patients. All groups experienced improved hypertension control: the newly insured saw a greater increase than the other groups (8.6% vs. 0.9% for the continuously uninsured, 1.3% for the continuously and 3.0% for the discontinuously insured). The likelihood of hypertension control rose more for the newly insured (vs. the other insurance groups) for patients living in the most deprived neighborhoods (16% from pre- to post-ACA).

CONCLUSIONS

Gaining health insurance was related to hypertension control; individuals living in the most disadvantaged communities experienced the greatest benefit.

POLICY IMPLICATIONS

Ensuring health insurance access is important for cardiovascular health, especially among disadvantaged communities.

How Safe Are Safety-Net Hospitals? Opportunities to Improve Outcomes for Vulnerable Patients Undergoing Hepatopancreaticobiliary Surgery

INTRODUCTION

Safety-net hospitals are critical to the US health system as they provide care to vulnerable patients. The effect of hospital safety-net burden on patient outcomes in hepatopancreaticobiliary (HPB) surgery was examined.

METHODS

Discharge data between 2004 and 2014 from the National Inpatient Sample were utilized. Hospitals with a safety-net burden were divided into tertiles: low (LBH) (< 13.6%), medium (MBH) (13.6-33.3%), and high (HBH) (> 33.3%). The association of hospital safety-net burden with complications, in-hospital mortality, never events, and costs were defined.

RESULTS

Nearly 5% of the analytic cohort (n = 65,032) had surgery at a HBH. Patients treated at HBH were younger (median age, HBH 55 years vs LBH 62 years; p < 0.001), black or Hispanic (HBH 40.5% vs LBH 12.7%; p < 0.001), and of lowest income quartile (HBH 38.4% vs LBH 19.6%; p < 0.001). One-third of patients at HBH experienced a complication compared with only a quarter of patients at LBH (p < 0.001). HBH had higher rates of in-hospital mortality (HBH 6.5% vs. LBH 2.8%; p < 0.001), never events (HBH 5.4% vs. LBH 1.4%; p < 0.001), and a higher cost of surgery (HBH $30,716 vs. LBH $28,054; p < 0.001).

CONCLUSION

Perioperative outcomes were worse at HBH, highlighting that efforts are needed to improve their delivery of care.

Association of Medicaid Expansion With Cardiovascular Mortality

Importance

Medicaid expansion under the Patient Protection and Affordable Care Act led to one of the largest gains in health insurance coverage for nonelderly adults in the United States. However, its association with cardiovascular mortality is unclear.

Objective

To investigate the association of Medicaid expansion with cardiovascular mortality rates in middle-aged adults.

Design, Setting, and Participants

This study used a longitudinal, observational design, using a difference-in-differences approach with county-level data from counties in 48 states (excluding Massachusetts and Wisconsin) and Washington, DC, from 2010 to 2016. Adults aged 45 to 64 years were included. Data were analyzed from November 2018 to January 2019.

Exposures

Residence in a Medicaid expansion state.

Main Outcomes and Measures

Difference-in-differences of annual, age-adjusted cardiovascular mortality rates from before Medicaid expansion to after expansion.

Results

As of 2016, 29 states and Washington, DC, had expanded Medicaid eligibility, while 19 states had not. Compared with counties in Medicaid nonexpansion states, counties in expansion states had a greater decrease in the percentage of uninsured residents at all income levels (mean [SD], 7.3% [3.2%] vs 5.6% [2.7%]; P < .001) and in low income strata (19.8% [5.5%] vs 13.5% [3.9%]; P < .001) between 2010 and 2016. Counties in expansion states had a smaller change in cardiovascular mortality rates after expansion (146.5 [95% CI, 132.4-160.7] to 146.4 [95% CI, 131.9-161.0] deaths per 100 000 residents per year) than counties in nonexpansion states did (176.3 [95% CI, 154.2-198.5] to 180.9 [95% CI, 158.0-203.8] deaths per 100 000 residents per year). After accounting for demographic, clinical, and economic differences, counties in expansion states had 4.3 (95% CI, 1.8-6.9) fewer deaths per 100 000 residents per year from cardiovascular causes after Medicaid expansion than if they had followed the same trends as counties in nonexpansion states.

Conclusions and Relevance

Counties in states that expanded Medicaid had a significantly smaller increase in cardiovascular mortality rates among middle-aged adults after expansion compared with counties in states that did not expand Medicaid. These findings suggest that recent Medicaid expansion was associated with lower cardiovascular mortality in middle-aged adults and may be of consideration as further expansion of Medicaid is debated.

COVID-19 and US Health Financing: Perils and Possibilities

While the COVID-19 pandemic presents every nation with challenges, the United States’ underfunded public health infrastructure, fragmented medical care system, and inadequate social protections impose particular impediments to mitigating and managing the outbreak. Years of inadequate funding of the nation’s federal, state, and local public health agencies, together with mismanagement by the Trump administration, hampered the early response to the epidemic. Meanwhile, barriers to care faced by uninsured and underinsured individuals in the United States could deter COVID-19 care and hamper containment efforts, and lead to adverse medical and financial outcomes for infected individuals and their families, particularly those from disadvantaged groups. While the United States has a relatively generous supply of Intensive Care Unit beds and most other health care infrastructure, such medical resources are often unevenly distributed or deployed, leaving some areas ill-prepared for a severe respiratory epidemic. These deficiencies and shortfalls have stimulated a debate about policy solutions. Recent legislation, for instance, expanded coverage for testing for COVID-19 for the uninsured and underinsured, and additional reforms have been proposed. However comprehensive health care reform – for example, via national health insurance – is needed to provide full protection to American families during the COVID-19 outbreak and in its aftermath.

Effects of Medicaid expansion on access, treatment and outcomes for patients with acute myocardial infarction

INTRODUCTION

Uninsured patients have decreased access to care, lower rates of percutaneous coronary intervention (PCI), and worse outcomes after acute myocardial infarction (AMI). The aim of this study was to determine whether expanding insurance coverage through the Affordable Care Act's expansion of Medicaid eligibility affected access to PCI hospitals, rates of PCI, 30-day readmissions, and in-hospital mortality after AMI.

METHODS

Quasi-experimental, difference-in-differences analysis of Medicaid and uninsured patients with acute myocardial infarction in California, which expanded Medicaid through the Affordable Care Act, and Florida, which did not, from 2010-2015. This study accounts for the early expansion of Medicaid in certain California counties that began as early as July 2011. Main outcomes included rates of admission to PCI hospitals, rates of transfer for patients who initially presented to non-PCI hospitals, rates of PCI, rates of early PCI defined as within 48 hours of hospital admission, in-hospital mortality, and 30-day readmission.

RESULTS

55,991 hospital admissions between 2010-2015 met inclusion criteria. Of these, 32,540 were in California, which expanded Medicaid, and 23,451 were in Florida, which did not. 30-day readmission rates after AMI decreased by an absolute difference of 1.22 percentage points after the Medicaid expansion (95% CI -2.14 to -0.30, P < 0.01). This represented a relative decrease in readmission rates of 9.5% after AMI. No relationship between the Medicaid expansion and admission to PCI hospitals, transfer to PCI hospitals, rates of PCI, rates of early PCI, or in-hospital mortality were observed.

CONCLUSIONS

Hospital readmissions decreased by 9.5% after the Affordable Care Act expanded Medicaid eligibility, although there was no association found between Medicaid expansion and access to PCI hospitals or treatment with PCI. Better understanding the ways that Medicaid expansion might affect care for vulnerable populations with AMI is important for policymakers considering whether to expand Medicaid eligibility in their state.

Association of State Medicaid Expansion With Quality of Care and Outcomes for Low-Income Patients Hospitalized With Acute Myocardial Infarction

Importance

Lack of insurance is associated with worse care and outcomes among adults hospitalized for acute myocardial infarction (AMI). It is unclear whether states' decision to expand Medicaid eligibility under the Patient Protection and Affordable Care Act in 2014 were associated with improved quality of care and outcomes among low-income patients hospitalized with AMI.

Objective

To investigate whether rates of uninsurance, quality of care, and outcomes changed among patients hospitalized for AMI 3 years after states elected to expand Medicaid compared with nonexpansion states.

Design, Setting, and Participants

Retrospective cohort study completed at hospitals participating in National Cardiovascular Data Registry Acute Coronary Treatment and Intervention Outcomes Network Registry. Participants were patients younger than 65 years hospitalized for AMI from January 1, 2012, to December 31, 2016.

Exposures

State Medicaid expansion in 2014.

Main Outcomes and Measures

Rates of uninsured and Medicaid-insured hospitalizations for AMI in states that expanded Medicaid vs those that did not. Comparison of in-hospital care quality, procedure use, and mortality between expansion and nonexpansion states for the years prior to and after Medicaid expansion. Hierarchical logistic regressions models were used to assess the association between Medicaid expansion and outcomes.

Results

The initial cohort included 325 343 patients. Uninsured AMI hospitalizations declined in expansion states (18.0% [4395 of 24 358 hospitalizations] to 8.4% [2638 of 31 382 hospitalizations]) and more modestly in nonexpansion states (25.6% [7963 of 31 137 hospitalizations] to 21.1% [8668 of 41 120 hospitalizations]) from 2012 to 2016 (P < .001 difference in trend expansion vs nonexpansion). Medicaid coverage increased from 7.5% (1818 of 24 358 hospitalizations) to 14.4% (4502 of 31 382 hospitalizations) in expansion states and 6.2% (1924 of 31 137 hospitalizations) to 6.6% (2717 of 41 120 hospitalizations) in nonexpansion states (P < .001). The low-income cohort included 55 737 patients across 765 sites. In expansion states, low-income adults' odds of receipt of defect-free care increased (76.3% to 75.9%, adjusted odds ratio 1.11; 95% CI, 1.02-1.21) but to a lesser degree than in nonexpansion states (72.8% to 74.5%, adjusted odds ratio, 1.38; 95% CI, 1.30-1.47; P for interaction < .001). There was no change in use of most procedures (ie, percutaneous coronary intervention for non-ST-segment elevation myocardial infarction) in expansion compared with nonexpansion states. Improvement in in-hospital mortality was similar between expansion and nonexpansion states (3.2% to 2.8%, adjusted odds ratio, 0.93; 95% CI, 0.77-1.12 vs 3.3% to 3.0%, adjusted odds ratio, 0.85; 95% CI, 0.73-0.99; P for interaction = .48).

Conclusions and Relevance

Medicaid expansion was associated with a significant reduction in rates of uninsurance among patients hospitalized with AMI. Quality of care and outcomes did not improve among low-income adults in expansion compared with nonexpansion states. Hospital care for AMI may be less sensitive to insurance than has been recognized in the past.

Changes in Insurance Coverage and Access to Care for Young Adults in 2017

PURPOSE

Previous work has demonstrated the Affordable Care Act (ACA) increased young adults' health care access during its first years. However, it is unclear if these trends continued through 2017; recent policies enacted by the Trump administration may have decreased the ACA's effectiveness. Our purpose was to determine changes in young adults' health care access during the transition from Obama to Trump administrations.

METHODS

Data on noninstitutionalized U.S. young adults (18-24 years) was obtained from the Behavioral Risk Factor Surveillance System 2011-2017 (N = 173,848). We used interrupted time series and difference-in-differences analysis to quantify changes in self-reported insurance coverage, access to a primary care physician, and unmet care because of cost from 2013 to 2017.

RESULTS

Young adults' health care access continued to improve through 2016; for instance, the percentage of respondents experiencing uninsurance declined by 8.7 points from 2013 to 2016 (95% confidence interval [CI] -9.4 to -8.0). However, these trends began to reverse and from 2016 to 2017, the percentage of young adults who experienced uninsurance increased by 1.4 points (95% CI .6-2.1), not having a personal doctor increased by 1.1 points (95% CI .2-2.0), and unmet care because of cost increased by 1.0 points (95% CI .3-1.7). The 2017 declines in access were concentrated in states which did not expand Medicaid and in households earning above 138% of federal poverty level.

CONCLUSIONS

Health care access declined for young adults in 2017, after several years of improvements. These changes correspond with recent policy actions, which may have weakened the ACA's reforms.

Variation and Disparities in Awareness of Myocardial Infarction Symptoms Among Adults in the United States

IMPORTANCE

Prompt recognition of myocardial infarction symptoms is critical for timely access to lifesaving emergency cardiac care. However, patients with myocardial infarction continue to have a delayed presentation to the hospital.

OBJECTIVE

To understand the variation and disparities in awareness of myocardial infarction symptoms among adults in the United States.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used data from the 2017 National Health Interview Survey among adult residents of the United States, assessing awareness of the 5 following common myocardial infarction symptoms among different sociodemographic subgroups: (1) chest pain or discomfort, (2) shortness of breath, (3) pain or discomfort in arms or shoulders, (4) feeling weak, lightheaded, or faint, and (5) jaw, neck, or back pain. The response to a perceived myocardial infarction (ie, calling emergency medical services vs other) was also assessed.

MAIN OUTCOMES AND MEASURES

Prevalence and characteristics of individuals who were unaware of myocardial infarction symptoms and/or chose not to call emergency medical services in response to these symptoms.

RESULTS

Among 25 271 individuals (13 820 women [51.6%; 95% CI, 50.8%-52.4%]; 17 910 non-Hispanic white individuals [69.9%; 95% CI, 68.2%-71.6%]; and 21 826 individuals [82.7%; 95% CI, 81.5%-83.8%] born in the United States), 23 383 (91.8%; 95% CI, 91.0%-92.6%) considered chest pain or discomfort a symptom of myocardial infarction; 22 158 (87.0%; 95% CI, 86.1%-87.8%) considered shortness of breath a symptom; 22 064 (85.7%; 95% CI, 84.8%-86.5%) considered pain or discomfort in arm a symptom; 19 760 (77.0%; 95% CI, 76.1%-77.9%) considered feeling weak, lightheaded, or faint a symptom; and 16 567 (62.6%; 95% CI, 61.6%-63.7%) considered jaw, neck, or back pain a symptom. Overall, 14 075 adults (53.0%; 95% CI, 51.9%-54.1%) were aware of all 5 symptoms, whereas 4698 (20.3%; 95% CI, 19.4%-21.3%) were not aware of the 3 most common symptoms and 1295 (5.8%; 95% CI, 5.2%-6.4%) were not aware of any symptoms. Not being aware of any symptoms was associated with male sex (odds ratio [OR], 1.23; 95% CI, 1.05-1.44; P = .01), Hispanic ethnicity (OR, 1.89; 95% CI, 1.47-2.43; P < .001), not having been born in the United States (OR, 1.85; 95% CI, 1.47-2.33; P < .001), and having a lower education level (OR, 1.31; 95% CI, 1.09-1.58; P = .004). Among 294 non-Hispanic black or Hispanic individuals who were not born in the United States, belonged to the low-income or lowest-income subgroup, were uninsured, and had a lower education level, 61 (17.9%; 95% CI, 13.3%-23.6%) were not aware of any symptoms. This group had 6-fold higher odds of not being aware of any symptoms (OR, 6.34; 95% CI, 3.92-10.26; P < .001) compared with individuals without these characteristics. Overall, 1130 individuals (4.5%; 95% CI, 4.0%-5.0%) chose a different response than calling emergency medical services in response to a myocardial infarction.

CONCLUSIONS AND RELEVANCE

Many adults in the United States remain unaware of the symptoms of and appropriate response to a myocardial infarction. In this study, several sociodemographic subgroups were associated with a higher risk of not being aware. They may benefit the most from targeted public health initiatives.

Disparities in Temporal and Geographic Patterns of Myocardial Infarction Hospitalization Risks in Florida

Knowledge of geographical disparities in myocardial infarction (MI) is critical for guiding health planning and resource allocation. The objectives of this study were to identify geographic disparities in MI hospitalization risks in Florida and assess temporal changes in these disparities between 2005 and 2014. This study used retrospective data on MI hospitalizations that occurred among Florida residents between 2005 and 2014. We identified spatial clusters of hospitalization risks using Kulldorff's circular and Tango's flexible spatial scan statistics. Counties with persistently high or low MI hospitalization risks were identified. There was a 20% decline in hospitalization risks during the study period. However, we found persistent clustering of high risks in the Big Bend region, South Central and southeast Florida, and persistent clustering of low risks primarily in the South. Risks decreased by 7%-21% in high-risk clusters and by 9%-28% in low-risk clusters. The risk decreased in the high-risk cluster in the southeast but increased in the Big Bend area during the last four years of the study. Overall, risks in low-risk clusters were ahead those for high-risk clusters by at least 10 years. Despite MI risk declining over the study period, disparities in MI risks persist. Eliminating/reducing those disparities will require prioritizing high-risk clusters for interventions.

Acute myocardial infarction in the young - National Trend Analysis with gender-based difference in outcomes

INTRODUCTION

Although acute myocardial infarction (AMI) is a disease predominantly affecting adults >60 years of age, a significant proportion of the young population who have different risk profiles, are also affected. We undertook a retrospective analysis using National Inpatient Sample (NIS) 2010 to 2014 to evaluate gender differences in characteristics, treatments, and outcomes in the younger AMI population.

METHODS

The NIS 2010-2014 was used to identify all patient hospitalizations with AMI between 18 to <45 years using ICD-9-CM codes. We demonstrated a gender-based difference of in-hospital all-cause mortality, other complications, and revascularization strategies in the overall AMI population and other subgroups of AMI [anterior wall ST-segment elevation MI (STEMI), and non-anterior wall STEMI and non-STEMI (NSTEMI)].

RESULTS

A total of 156,018 weighted records of AMI hospitalizations were identified, of which 111,894 were men and 44,124 were women. Young women had a higher prevalence of anemia, chronic lung disease, obesity, peripheral vascular disease, and diabetes. Conversely, young men had a higher prevalence of dyslipidemia, smoking, and alcohol. Among non-traditional risk factors, women had a higher prevalence of depression and rheumatologic/collagen vascular disease. There was no difference in all-cause in-hospital mortality in women compared to men [2.03% vs 1.48%; OR 1.04, CI (0.84-1.29); P = .68], including in subgroup analysis of NSTEMI, anterior wall STEMI, and non-anterior wall STEMI. Women with AMI were less likely to undergo percutaneous coronary intervention [47.13% vs 61.17%; OR 0.66, 95% CI (0.62-0.70; P < .001] and coronary artery bypass grafting [5.6% vs 6.0%; OR 0.73, 95% CI 0.64-0.83; P < .001] compared to men. Women were also less likely to undergo percutaneous coronary intervention within 24 h of presentation (38.47% vs 51.42%, P < .001).

CONCLUSION

Despite higher baseline comorbidities in young women with AMI, there was no difference in in-hospital mortality in women compared to men. Additional studies are needed to evaluate the impact of gender on clinical presentation, treatment patterns, and outcomes of AMI in young patients.

CLINICAL SIGNIFICANCE

Financial barriers in accessing medical care for peripheral artery disease are associated with delay of presentation and adverse health status outcomes in the United States

Patient-reported difficulties in affording health care and their association with health status outcomes in peripheral artery disease (PAD) have never been studied. We sought to determine whether financial barriers affected PAD symptoms at presentation, treatment patterns, and patient-reported health status in the year following presentation. A total of 797 United States (US) patients with PAD were identified from the Patient-centered Outcomes Related to TReatment Practices in Peripheral Arterial Disease: Investigating Trajectories (PORTRAIT) study, a prospective, multicenter registry of patients presenting to vascular specialty clinics with PAD. Financial barriers were defined as a composite of no insurance and underinsurance. Disease-specific health status was measured by Peripheral Artery Questionnaire (PAQ) and general health-related quality of life was measured by EuroQol 5 (EQ5D) dimensions at presentation and at 3, 6, and 12 months of follow-up. Among 797 US patients, 21% (n = 165) of patients reported financial barriers. Patients with financial barriers presented at an earlier age (64 ± 9.5 vs 70 ± 9.4 years), with longer duration of symptoms (59% vs 49%) (all p ⩽ 0.05), were more depressed and had higher levels of perceived stress and anxiety. After multivariable adjustment, health status was worse at presentation in patients with financial barriers (PAQ: -7.0 [-10.7, -3.4]; p < 0.001 and EQ5D: -9.2 [-12.74, -5.8]; p < 0.001) as well as through 12 months of follow-up (PAQ: -8.4 [-13.0, -3.8]; p < 0.001 and EQ5D: -9.7 [-13.2, -6.2]; p < 0.001). In conclusion, financial barriers are associated with later presentation as well as poorer health status at presentation and at 12 months. ClinicalTrials.gov Identifier: NCT01419080.

The association between symptom onset characteristics and prehospital delay in women and men with acute coronary syndrome

BACKGROUND

A decision to delay seeking treatment for symptoms of acute coronary syndrome increases the risk of serious complications, disability, and death.

AIMS

The purpose of this study was to determine if there was an association between gradual vs abrupt symptom onset and prehospital delay for patients with acute coronary syndrome and to examine the relationship between activities at symptom onset and gradual vs abrupt symptom onset.

METHODS

This was a secondary analysis of a large prospective multi-center study. Altogether, 474 patients presenting to the emergency department with symptoms of acute coronary syndrome were included in the study. Symptom characteristics, activity at symptom onset, and prehospital delay were measured with the ACS Patient Questionnaire.

RESULTS

Median prehospital delay time was four hours. Being uninsured (β=0.120, p=0.031) and having a gradual onset of symptoms (β=0.138, p=0.003) were associated with longer delay. A diagnosis of ST-elevation myocardial infarction (β=-0.205, p=0.001) and arrival by ambulance (β=-0.317, p<0.001) were associated with shorter delay. Delay times were shorter for patients who experienced an abrupt vs gradual symptom onset (2.57 h vs 8 h, p<0.001). Among men with an abrupt onset of symptoms and a ST-elevation myocardial infarction diagnosis, 54% reported that symptoms were triggered by exertion (p=0.046).

CONCLUSION

Patients should be counselled that a gradual onset of symptoms for potential acute coronary syndrome is an emergency and that they should call 911. Men with ischemic heart disease or with multiple risk factors should be cautioned that symptom onset following exertion may represent acute coronary syndrome.

Coverage and Access for Americans with Cardiovascular Disease or Risk Factors After the ACA: a Quasi-experimental Study

BACKGROUND

Atherosclerotic cardiovascular disease (CVD) is the leading cause of death in the USA. Many with CVD or cardiovascular risk factors (CVRFs) lacked insurance coverage and access to care before enactment of the Affordable Care Act (ACA).

OBJECTIVE

To assess the effect of the ACA on insurance coverage, access to care, and racial/ethnic disparities among non-elderly adults with CVD or CVRFs.

DESIGN

Quasi-experimental policy intervention.

PARTICIPANTS

Nationally representative, non-institutionalized sample of 1,014,450 adults aged 18 to 64 years with CVD or at least 2 established CVRFs in the pre-ACA (2012-2013) and post-ACA (2015-2016) periods.

INTERVENTION

Implementation of ACA provisions on 1 January 2014.

MAIN MEASURES

Insurance coverage, having a check-up, having a personal physician, and not having to forgo a needed physician visit because of cost.

KEY RESULTS

Following ACA implementation, insurance coverage increased by 6.9 percentage points (95% CI, 6.6 to 7.2), not having to forgo a physician visit increased by 3.6 percentage points (CI, 3.3 to 3.9), having a check-up increased by 2.1 percentage points (CI, 1.8 to 2.6), and having a personal physician increased by 1 percentage point (0.6 to 1.3); changes were approximately doubled for those with lower incomes (< $35,000/year). Changes in coverage varied substantially by state and all outcomes improved more in Medicaid expansion states. Although racial/ethnic minorities had greater improvements in some outcomes, approximately 13% black and 29% Hispanic adults continued to lack coverage and access to care post-ACA.

CONCLUSION

The ACA increased coverage and access for adults with CVD or multiple CVRFs; substantial gaps remain, particularly for minorities and those in Medicaid non-expansion states.

Potential disease burden of patients with substance abuse undergoing major abdominal surgery: A propensity score-matched analysis

BACKGROUND

Over 19 million Americans have a substance abuse disorder. The current study sought to characterize the relationship between substance abuse with in-hospital outcomes following major, elective abdominal surgery.

METHODS

The Nationwide Inpatient Sample was used to identify patients who underwent major abdominal surgery between 2007 to 2014. Patients with preoperative substance abuse, including alcohol, opioids, and non-opioid drugs, were identified. Propensity score matching was used to examine the association of substance abuse with perioperative outcomes.

RESULTS

Among 301,659 patients, 7,925 patients (2.6%) had a history of substance abuse. Pancreatectomy was the surgical procedure with the highest proportion of patients with substance abuse history (n = 844, 4.7%). Compared with patients without a substance abuse history, patients with a substance abuse history were more likely to be younger (median age, 60 years [interquartile range (IQR) 52-69] vs 63 years [IQR 52-72]), male (n = 5,438, 67.5% vs n = 132,961, 54.7%), and be in the lowest income category (n = 2,062, 26% vs n = 64,345, 21.9%) (all P < .001). On propensity score matching, substance abuse was associated with increased odds ratio of experiencing a complication (odds ratio [OR] 1.68, 95% confidence interval [CI] 1.55-1.82), non-home discharge (OR 1.95, 95% CI 1.76-2.16), extended length of stay (OR 1.88, 95% CI 1.76-2.02), and higher expenditure (OR 1.62, 95% CI 1.49-1.77). Stratified by the type of substance abuse, patients with history of alcohol (OR 1.57, 95% CI 1.44-1.71) and drug abuse (OR 1.26, 95% CI 1.14-1.39) were more likely to experience a complication, whereas only history of alcohol abuse was associated with higher odds ratio of in-hospital mortality (OR 1.38, 95% CI 1.07-1.79) (all P < .05).

CONCLUSION

Up to 1 in 50 patients undergoing complex abdominal surgery had a substance abuse history. History of substance abuse was associated with an increased risk of adverse perioperative outcomes and higher healthcare expenditures.

Payment systems and hospital length of stay: a bunching-based evidence

Despite the huge attention on the long average hospital length of stay (LOS) in Japan, there are limited empirical studies on the impacts of the payment systems on LOS. In order to shed new light on this issue, we focus on the fact that reimbursement for hospital care is linked to the number of patient bed-days, where a "day" is defined as the period from one midnight to the next. This "midnight-to-midnight" definition may incentivize health care providers to manipulate hospital acceptance times in emergency patients, as patients admitted before midnight would have an additional day for reimbursement when compared with those admitted after midnight. We test this hypothesis using administrative data of emergency transportations in Japan from 2008 to 2011 (N = 2,146,498). The results indicate that there is a significant bunching in the number of acceptances at the emergency hospital around midnight; the number heaps a few minutes before midnight, but suddenly drops just after midnight. Given that the occurrence of emergency episode is random and the density is smooth during nighttime, bunching in the number of hospital acceptances around midnight suggests that hospital care providers shift the hospital acceptance times forward by hurrying-up to accept the patients. This manipulation clearly leads to longer LOS by one bed-day. In addition, the manipulation is observed in the prefectures where private hospitals mainly provide emergency medical services, suggesting hospital ownership is associated with the manipulation of hospital acceptance time.

Twenty Year Trends and Sex Differences in Young Adults Hospitalized With Acute Myocardial Infarction

BACKGROUND

Sex differences are known to exist in the management of older patients presenting with acute myocardial infarction (AMI). Few studies have examined the incidence and risk factors of AMI among young patients, or whether clinical management differs by sex.

METHODS

The Atherosclerosis Risk in Communities (ARIC) Surveillance study conducts hospital surveillance of AMI in 4 US communities (MD, MN, MS, and NC). AMI was classified by physician review, using a validated algorithm. Medications and procedures were abstracted from the medical record. Our study population was limited to young patients aged 35 to 54 years.

RESULTS

From 1995 to 2014, 28 732 weighted hospitalizations for AMI were sampled among patients aged 35 to 74 years. Of these, 8737 (30%) were young. The annual incidence of AMI hospitalizations increased for young women but decreased for young men. The overall proportion of AMI admissions attributable to young patients steadily increased, from 27% in 1995 to 1999 to 32% in 2010 to 2014 ( P for trend=0.002), with the largest increase observed in young women. History of hypertension (59% to 73%, P for trend<0.0001) and diabetes mellitus (25% to 35%, P for trend<0.0001) also increased among young AMI patients. Compared to young men, young women presenting with AMI were more often black and had a greater comorbidity burden. In adjusted analyses, young women had a lower probability of receiving lipid-lowering therapies (relative risk [RR]=0.87; 95% confidence interval [CI], 0.80-0.94), nonaspirin antiplatelets (RR=0.83; 95% CI, 0.75-0.91), beta blockers (RR=0.96; 95% CI, 0.91-0.99), coronary angiography (RR=0.93; 95% CI, 0.86-0.99) and coronary revascularization (RR = 0.79; 95% CI, 0.71-0.87). However, 1-year all-cause mortality was comparable for women versus men (HR=1.10; 95% CI, 0.83-1.45).

CONCLUSIONS

The proportion of AMI hospitalizations attributable to young patients increased from 1995 to 2014 and was especially pronounced among women. History of hypertension and diabetes among young patients admitted with AMI increased over time as well. Compared with young men, young women presenting with AMI had a lower likelihood of receiving guideline-based AMI therapies. A better understanding of factors underlying these changes is needed to improve care of young patients with AMI.

Evaluating the early impact of Medicaid expansion on trends in diagnosis and treatment of benign gallbladder disease in Kentucky

BACKGROUND

In January 2014, Kentucky expanded Medicaid coverage in an effort to improve access to healthcare. This study evaluated the early impact of Medicaid expansion on diagnosis and treatment of benign gallbladder disease in Kentucky.

METHODS

Administrative claims data were queried for patients undergoing cholecystectomy for benign gallbladder disease between 2011 and 2015. Demographic, procedure, and outcome variables from 2011 to 2013 (PRE) and 2014-2015 (POST) were compared.

RESULTS

After Medicaid expansion, patients were more likely to have their operation performed as an outpatient (80.0% vs. 78.2%, p < 0.001). A significant trend was noted toward a shorter hospital stay (p < 0.001) among inpatients. For both inpatients and outpatients, a significant shift was noted toward increased hospital charges (p < 0.001).

CONCLUSIONS

The expansion of Kentucky Medicaid in 2014 has been associated with an increase in outpatient cholecystectomy, shorter hospital stays for inpatients, and increased hospital charges for both inpatients and outpatients. Increased charges for all procedures may represent a mechanism for hospitals to offset the cost of providing global care for more patients.