Urban-rural differences in coronary heart disease mortality in the United States: 1999-2009

The interaction between social determinants of health, health behaviors, and child's intellectual developmental diagnosis

INTRODUCTION

Social determinants of health (SDOH) may impact caregivers' ability to implement evidence-based health practices at home during early childhood, especially in families with children with intellectual and developmental disabilities (IDD). Therefore, we examined the influence of SDOH and children's diagnosis (typically developing [TD], Down syndrome [DS], autism) on caregiver's self-report of meeting evidence-based health practices.

METHODS

Caregivers (n=172) of children ages 2-6 years (TD: n=93, DS: n=40, autism: n=39) completed an online survey on SDOH and health practices related to child nutrition (CN), physical activity (PA), outdoor play (OP), and screen time (ST). A total SDOH score was computed by assigning 1 point for each favorable SDOH metric (range 0-13). Linear regressions were used to examine associations between SDOH and CN, PA, OP, ST health practices and the moderating effect of IDD diagnosis.

RESULTS

Most caregivers were non-Hispanic White (84.3%), female (76.7%), 18-35 years old (55.2%), and married (89.5%). The DS group had the lowest SDOH score (mean = 8.4±1.0) compared to autism (mean = 10.1±1.0) and TD (mean = 11.0±0.9). No family scored 100% in evidence-based practices for any health practice. SDOH score was significantly associated with evidence-based practices met score for CN (b = 1.94, 95% CI = 0.84, 3.04; p = 0.001) and PA (b = 4.86, 95% CI = 2.92, 6.79; p <0.0001). Moderation analysis showed no association in the DS and autism groups between SDOH score and CN percent total score, or between SDOH score and CN, PA, and OP for percent evidence-based practices met. SDOH score was also not associated with OP percent total score for the DS group.

CONCLUSIONS

This study highlights the differential influence of SDOH on caregivers' implementing health practices in families with children of different IDD diagnoses. Future research is needed to understand impacts of SDOH on non-typically developing children.

Storylines of family medicine II: foundational building blocks-context, community and health

Storylines of Family Medicine is a 12-part series of thematically linked mini-essays with accompanying illustrations that explore the many dimensions of family medicine, as interpreted by individual family physicians and medical educators in the USA and elsewhere around the world. In 'II: foundational building blocks-context, community and health', authors address the following themes: 'Context-grounding family medicine in time, place and being', 'Recentring community', 'Community-oriented primary care', 'Embeddedness in practice', 'The meaning of health', 'Disease, illness and sickness-core concepts', 'The biopsychosocial model', 'The biopsychosocial approach' and 'Family medicine as social medicine.' May readers grasp new implications for medical education and practice in these essays.

Storylines of family medicine X: standing up for diversity, equity and inclusion

Storylines of Family Medicine is a 12-part series of thematically linked mini-essays with accompanying illustrations that explore the many dimensions of family medicine as interpreted by individual family physicians and medical educators in the USA and elsewhere around the world. In 'X: standing up for diversity, equity and inclusion', authors address the following themes: 'The power of diversity-why inclusivity is essential to equity in healthcare', 'Medical education for whom?', 'Growing a diverse and inclusive workforce', 'Therapeutic judo-an inclusive approach to patient care', 'Global family medicine-seeing the world "upside down"', 'The inverse care law', 'Social determinants of health as a lens for care', 'Why family physicians should care about human rights' and 'Toward health equity-the opportunome'. May the essays that follow inspire readers to promote change.

Weight management in rural health clinics: Results from the randomized midwest diet and exercise trial

Introduction

Rural living adults have higher rates of obesity compared with their urban counterparts and less access to weight management programs. Previous research studies have demonstrated clinically relevant weight loss in rural living adults who complete weight management programs delivered by university affiliated interventionists. However, this approach limits the potential reach, adoption, implementation, and maintenance of weight management programs for rural residents. Weight management delivered through rural health clinics by non-physician clinic associated staff, for example, nurses, registered dieticians, allied health professionals, etc. has the potential to improve access to weight management for rural living adults. This trial compared the effectiveness of a 6-month multicomponent weight management intervention for rural living adults delivered using group phone calls (GP), individual phone calls (IP) or an enhanced usual care control (EUC) by rural clinic associated staff trained by our research team.

Methods

Rural living adults with overweight/obesity (n = 187, age ∼ 50 years 82% female, body mass index ∼35 kg/m2) were randomized (2:2:1) to 1 of 3 intervention arms: GP, which included weekly ∼ 45 min sessions with 7-14 participants (n = 71), IP, which included weekly ∼ 15 min individual sessions (n = 80), or EUC, which included one-45 min in-person session at baseline.

Results

Weight loss at 6 months was clinically relevant, that is, ≥5% in the GP (-11.4 kg, 11.7%) and the IP arms (-9.1 kg, 9.2%) but not in the EUC arm (-2.6%, -2.5% kg). Specifically, 6 month weight loss was significantly greater in the IP versus EUC arms (-6.5 kg. p ≤ 0.025) but did not differ between the GP and IP arms (-2.4 kg, p > 0.025). The per participant cost per kg. weight loss for implementing the intervention was $93 and $60 for the IP and GP arms, respectively.

Conclusions

Weight management delivered by interventionists associated with rural health clinics using both group and IP calls results in clinically relevant 6 months weight loss in rural dwelling adults with overweight/obesity with the group format offering the most cost-effective strategy. Clinical trial registration: ClinicalTrials.gov (NCT02932748).

The role of comorbidities, medications, and social determinants of health in understanding urban-rural outcome differences among patients with heart failure

PURPOSE

There is now a 20% disparity in all-cause, excess deaths between urban and rural areas, much of which is driven by disparities in cardiovascular death. We sought to explain the sources of these disparities for Medicare beneficiaries with heart failure with reduced ejection fraction (HFrEF).

METHODS

Using a sample of Medicare Parts A, B, and D, we created a cohort of 389,528 fee-for-service beneficiaries with at least 1 heart failure hospitalization from 2008 to 2017. The primary outcome was 30-day mortality after discharge; 1-year mortality, readmissions, and return emergency room (ER) admissions were secondary outcomes. We used hierarchical, logistic regression modeling to determine the contribution of comorbidities, guideline-directed medical therapy (GDMT), and social determinants of health (SDOH) to outcomes.

RESULTS

Thirty-day mortality rates after hospital discharge were 6.3% in rural areas compared to 5.7% in urban regions (P < .001); after adjusting for patient health and GDMT receipt, the 30-day mortality odds ratio for rural residence was 1.201 (95% CI 1.164-1.239). Adding the SDOH measure reduced the odds ratio somewhat (1.140, 95% CI 1.103-1.178) but a gap remained. Readmission rates in rural areas were consistently lower for all model specifications, while ER admissions were consistently higher.

CONCLUSIONS

Among patients with HFrEF, living in a rural area is associated with an increased risk of death and return ER visits within 30 days of discharge from HF hospitalization. Differences in SDOH appear to partially explain mortality differences but the remaining gap may be the consequence of rural-urban differences in HF treatment.

Demographics and clinical features associated with rates of electronic message utilization in the primary care setting

INTRODUCTION

Electronic messages are growing as an important form of patient-provider communication, particularly in the primary care setting. However, adoption of healthcare technology has been under-utilized by underserved patient populations. The purpose of this study was to describe how adoption and utilization of electronic messaging occurred within a large primary care urban-based patient population.

METHODS

In this retrospective study, the frequency of electronic messages initiated by adult outpatient primary care patients was observed. Patients were classified as either non-portal adopters, non-message utilizers, low message utilizers, and high message utilizers. Logistic regression modeling was used to compare factors associated with message utilization rates to determine disparities in access.

RESULTS

Among a sample of 27,453 ethnically diverse adult patients from the Houston, Texas Metropolitan area, 33,497 unique messages were sent (1.22 messages/patient). Message burden was predominantly derived by a small number of high utilizers (individuals who sent 3 or more messages), who comprised 15.7 % of the study population (n = 4302) but accounted for 77 % of the message volume (n = 25,776). These high utilizers were typically older, White, English speaking, from middle to upper income zip codes, had higher number of comorbidities, and a higher number of clinical visits.

CONCLUSIONS

Most inbox messages were generated by a small number of patients. While it was reassuring to see older and sicker individuals utilizing electronic messaging, patients from minority and/or lower income background utilized electronic messaging much less. This may propagate systematic bias and decrease the level of care for traditionally underserved patients.

The Relationship Between Allergic Rhinitis, Asthma, and Cardiovascular Disease in the National Health Interview Surveys (NHIS), 1999-2018

BACKGROUND

Atopic disease has been associated with immune dysregulation and chronic inflammation, but current practice guideline recommendations do not include the evaluation of inflammatory outcomes among patients with asthma and allergic rhinitis (AR).

OBJECTIVE

This study investigates the relationship between asthma, AR, and cardiovascular disease (CVD) using data from the U.S. National Health Interview Survey (NHIS) between 1999 and 2018.

METHODS

We used data from adults in the NHIS (n = 603,140, representing a population of 225,483,286). Exposures were physician-diagnosed asthma (lifetime/past-year) and AR (past-year). Outcomes were physician-diagnosed heart disease: coronary heart disease (CHD), angina, heart attack, and nonspecific "heart-condition" (all lifetime). We used survey-weighted descriptive analysis and logistic regression adjusting for demographic and socioeconomic factors.

RESULTS

A total of 11.44% reported at least 1 heart condition, with CHD the most prevalent (4.27%) across 20 years of pooled data. Asthma and AR were associated with higher CVD in all bivariate analyses. Specifically, lifetime asthma was associated with increased odds of CHD, (odds ratio [OR] 1.36; 95% confidence interval [95% CI] 1.29-1.42), with stronger effects observed for a past-year asthma attack (OR 1.66; 95% CI 1.55-1.80). The strongest effect of all was observed in those with a past-year asthma attack having increased odds of angina (OR 2.42; 95% CI 2.24-2.63). Allergic rhinitis was independently associated with increased odds of CHD (OR 1.25; 95% CI 1.18-1.28).

CONCLUSIONS

Asthma and AR are risk factors for all types of CVD in this nationally representative study covering a 2-decade period in the United States. Clinicians should consider screening patients with severe and/or uncontrolled asthma and AR early for CVD, particularly angina and CHD. Future studies are warranted to explore the immunological milieu in these patients and identify therapeutic targets.

Joint Association of Polygenic Risk and Social Determinants of Health with Coronary Heart Disease in the United States

Background

The joint effects of polygenic risk and social determinants of health (SDOH) on coronary heart disease (CHD) in the United States are unknown.

Methods

In 67,256 All of Us (AoU) participants with available SDOH data, we ascertained self-reported race/ethnicity and calculated a polygenic risk score for CHD (PRS CHD ). We used 90 SDOH survey questions to develop an SDOH score for CHD (SDOH CHD ). We assessed the distribution of SDOH CHD across self-reported races and US states. We tested the joint association of SDOH CHD and PRS CHD with CHD in regression models that included clinical risk factors.

Results

SDOH CHD was highest in self-reported black and Hispanic people. Self-reporting as black was associated with higher odds of CHD but not after adjustment for SDOH CHD . Median SDOH CHD values varied by US state and were associated with heart disease mortality. A 1-SD increase in SDOH CHD was associated with CHD (OR=1.36; 95% CI, 1.29 to 1.46) and incident CHD (HR=1.73; 95% CI, 1.27 to 2.35) in models that included PRS CHD and clinical risk factors. Among people in the top 20% of PRS CHD , CHD prevalence was 4.8% and 7.8% in the bottom and top 20% of SDOH CHD , respectively.

Conclusions

Increased odds of CHD in self-reported black people are likely due to higher SDOH burden. SDOH and PRS were independently associated with CHD in the US. Our findings emphasize the need to consider both PRS and SDOH for equitable disease risk assessment.

A decade beyond the economic recession: A study of health-related lifestyles in urban and rural Spain (2006-2017)

The 2008 economic recession may have affected health-related indicators differently depending on the living environment. We analyze health-related indicators in Spain using data from four Spanish health surveys (2006, 2011, 2014, and 2017, 95 924 individuals aged ≥16 years). In 2006-2011, physical activity decreased among men and women, while in 2006-2017, physical activity only decreased among urban women. Daily vegetable intake, except in rural women, increased in 2006-2011 but decreased in 2006-2017 in all groups. Smoking decreased among urban women in 2006-2011 and 2006-2014 but only decreased among men, and even increased among rural women, in 2006-2017. In 2006-2017, obesity increased among men and urban women, good self-rated health status increased in all groups and flu vaccination declined. Blood pressure and cholesterol control decreased in urban women in 2006-2011 but increased in 2006-2017 in all groups, as well as mammographic and cytological control. Our findings highlight the differential impact of the economic recession on health-related lifestyles according to sex and place of residence, underscoring the need for targeted health policies to address evolving health disparities over time.

Urban-rural differences in hypertension prevalence, blood pressure control, and systolic blood pressure levels

Higher rates of cardiovascular events have been observed among rural residents compared with urban. Hypertension and lack of blood pressure (BP) control are risk factors for cardiovascular events. We compared the prevalence of hypertension and controlled BP, and the distribution of systolic blood pressure (SBP), by urban-rural residence. Participants from the REasons for Geographic And Racial Differences in Stroke (REGARDS) Study, a prospective cohort of Black and White adults aged ≥45 years, were categorized as either urban, large rural, or small-isolated rural, by using the Rural-Urban Commuting Area (RUCA) categorization B system. Oucomes were hypertension prevalence (BP ≥ 140/90 mmHg or antihypertensive use), BP control (BP < 140/90 among participants on antihypertensive medication), and the distribution of SBP. Counfounders were age, race, sex, antihypertensive medication use, and US Census Bureau division. The analysis included 26,133 participants (80.3% urban, 11.6% large-rural, 8.2% small-isolated rural). The unadjusted prevalence of hypertension was not different between groups. However, after adjustment, the odds of hypertension was higher among participants in the large rural group (odds ratio [OR] 1.17; 95% confidence interval [CI], 1.08-1.27) and small-isolated rural group (OR 1.19; 95% CI, 1.08-1.30), compared with the urban group. There was no evidence of an adjusted difference in BP control for those taking antihypertensive medications. Adjusted differences in SBP were greater for both rural groups, compared with urban, at the higher percentiles of SBP. Rural residence was associated with a higher adjusted odds of hypertension and higher SBP.

Rural Hospital Disparities in Goals of Care Documentation

CONTEXT

Goals of care conversations for seriously ill hospitalized patients are associated with high-quality patient-centered care.

OBJECTIVES

We aimed to assess the prevalence of documented goals of care conversations for rural hospitalized patients compared to nonrural hospitalized patients.

METHODS

We retrospectively assessed goals of care documentation using a template note for adult patients with predicted 90-day mortality greater than 30% admitted to eight rural and nine nonrural community hospitals between July 2021 and April 2023. We compared predictors and prevalence of goals of care documentation among rural and nonrural hospitals.

RESULTS

Of the 31,098 patients admitted during the study period, 21% were admitted to a rural hospital. Rural patients were more likely than nonrural patients to be >65 years old (89% vs. 86%, P = <.0001), more likely to live in a neighborhood classified in the highest quintile of socioeconomic disadvantage (40% vs. 16%, P = <.0001), and less likely to receive a palliative care consult (8% vs. 18%, P = <.0001). Goals of care documentation occurred less often for patients admitted to rural vs. nonrural community hospitals (2% vs. 7%, P < .0001). In the base multivariable logistic regression model adjusting for patient characteristics, the odds of goals care documentation were lower in rural vs. nonrural community hospitals (aOR 0.4, P = .0232). In a second multivariable logistic regression model including both patient characteristics and severity of illness, the odds of goals of care documentation in rural community hospitals were no longer statistically different than nonrural community hospitals (aOR 0.5, P = .1080). Patients who received a palliative care consult had a lower prevalence of goals of care documentation in rural vs. nonrural hospitals (16% vs. 37%, P = <.0001).

CONCLUSION

In this study of 17 rural and nonrural community hospitals, we found low overall prevalence of goals of care documentation with particularly infrequent documentation occurring within rural hospitals. Future study is needed to assess barriers to goals of care documentation contributing to low prevalence of goals of care conversations in rural hospital settings.

Telehealth Rapid Access Chest Pain Clinic: Initial Experience During COVID-19 Pandemic

Objectives: Rapid Access Chest Pain Clinics (RACPCs) provide safe and efficient follow-up for outpatients presenting with new-onset chest pain. RACPC delivery by telehealth has not been reported. We sought to evaluate a telehealth RACPC established during the coronavirus disease 2019 (COVID-19) pandemic. There was a need to reduce the frequency of additional testing arranged by the RACPC during this time, and the safety of this approach was also explored. Methods: This was a prospective evaluation of a cohort of RACPC patients reviewed by telehealth during the COVID-19 pandemic compared with a historical control group of face-to-face consultations. The main outcomes included emergency department re-presentation at 30 days and 12 months, major adverse cardiovascular events at 12 months, and patient satisfaction scores. Results: One hundred forty patients seen in the telehealth clinic were compared with 1,479 in-person RACPC controls. Baseline demographics were similar; however, telehealth patients were less likely to have a normal prereferral electrocardiogram than RACPC controls (81.4% vs. 88.1%, p = 0.03). Additional testing was ordered less often for telehealth patients (35.0% vs. 80.7%, p < 0.001). Rates of adverse cardiovascular events were low in both groups. One hundred twenty (85.7%) patients reported being satisfied or highly satisfied with the telehealth clinic service. Conclusions: In the setting of COVID-19, a telehealth RACPC model with reduced use of additional testing facilitated social distancing and achieved clinical outcomes equivalent to a face-to-face RACPC control. Telehealth may have an ongoing role beyond the pandemic, supporting specialist chest pain assessment for rural and remote communities. Pending further study, it may be safe to reduce the frequency of additional testing following RACPC review.

Advancing Health Equity in Neurologic Disorders and Stroke: Stakeholder Insights Into Health Disparities, Research Gaps, and Potential Interventions

OBJECTIVES

The purpose of this study was to analyze the National Institute of Neurological Disorders and Stroke (NINDS) Request for Information (RFI) input from the public-including health care providers, researchers, patients, patient advocates, caregivers, advocacy organizations, professional societies, and private and academic stakeholders with an interest in health disparities (HDs) in neurologic disease. RFI questions were structured to solicit input on what stakeholders believe are neurologic disease HD research priorities, drivers of health inequity, and potential interventions. Furthermore, these stakeholder insights were examined within the context of contemporary scientific literature and research frameworks on health equity and health disparities.

BACKGROUND

The NINDS published a RFI from March 31 to July 15, 2020. The RFI analysis presented here is part of a larger strategic planning process aimed to guide future NINDS efforts in neurologic disorder health equity (HE) research and training. The public commented on facilitators of HDs, populations that experience HDs (HDPs), potential interventions, and research opportunities related to HDs in neurologic disease and/or care in the United States across the lifespan. Responses were analyzed using qualitative methodology. Frequently suggested interventions were thematically clustered using the interpretive phenomenological analysis methodology and are presented in this article to provide a stakeholder-identified roadmap for advancing HE.

RESULTS

Respondents identified socioecological factors as driving HDs in 89% of determinants reported. Stakeholder-reported HD determinants and subsequent interventions could be classified into the following conceptual categories: HDP neurospecialty care access, innovative HDP engagement and research inclusion strategies, and development of a well-trained clinician-scientist HD workforce. Clustering of the feedback from patient and patient-adjacent respondents (i.e., caretakers and patient advocates) highlighted the prevalence of patient-provider interpersonal factors and limited resources driving access-to-care barriers among their sentiments.

DISCUSSION

Respondent sentiments suggest prioritization of social determinants of health (SDOH) research, shifting away from the common target of biological and behavioral themes addressed in the existing body of HE research provided by the stakeholder. Overall, respondents suggest focusing research prioritization on access to care, engagement across the HE research and care landscape, and HE workforce development.

Long-term outcomes among stable post-acute myocardial infarction patients living in rural versus urban areas: insights from the prospective, observational TIGRIS registry

BACKGROUND

Insights on the differences in clinical outcomes, quality of life (QoL) and health resource utilisation (HRU) with different levels of care available to post-acute myocardial infarction (AMI) populations in rural and urban settings are limited.

METHODS

The long-Term rIsk, clinical manaGement, and healthcare Resource utilisation of stable coronary artery dISease (TIGRIS), a prospective, observational registry, enrolled 8452 patients aged ≥50 years 1-3 years post-AMI from June 2013 to November 2014 from 24 countries in Asia Pacific/Australia, Europe, North America and South America. Differences in QoL (measured using the EuroQol Research Foundation instrument) and HRU between patients in rural and urban settings were evaluated in this post hoc analysis. The incidence of clinical endpoints (cardiovascular (CV) death, AMI, unstable angina with urgent revascularisation and stroke; bleeding; and all-cause mortality) was analysed. Data were collected at baseline and every 6 months for 24 months.

RESULTS

There were fewer hospitalisations and visits to general practitioners (GPs) and cardiologists in the rural versus urban populations (adjusted event rate ratio (ERR)=0.90 (95% CI, 0.82 to 1.00, p=0.04); ERR=0.84 (95% CI, 0.78 to 0.92, p<0.001); ERR=0.86 (95% CI, 0.81 to 0.92, p<0.001), respectively). No statistically significant differences were observed between rural and urban populations in all-cause death, AMI, unstable angina with urgent revascularisation, CV death, stroke, major bleeding events and health-related QoL. The adjusted incidence rate ratio was 0.92 (95% CI, 0.74 to 1.15) for the composite of CV death, AMI and stroke.

CONCLUSIONS

Living in rural areas was associated with fewer GP/cardiologist visits and hospitalisations; no significant differences in clinical outcomes and QoL were observed.

TRIAL REGISTRATION NUMBER

NCT01866904.

The role of social cohesion in explaining rural/urban differences in healthcare access and health status among older adults in the mid-Atlantic United States

Social cohesion can influence health. It is higher among rural versus urban residents, but the burden of chronic disease is higher in rural communities. We examined the role of social cohesion in explaining rural/urban differences in healthcare access and health status. Rural (n = 1080) and urban (n = 1846) adults (ages 50+) from seven mid-Atlantic U.S. states completed an online, cross-sectional survey on social cohesion and health. We conducted bivariate and multivariable analyses to evaluate the relationships of rurality and social cohesion with healthcare access and health status. Rural participants had higher social cohesion scores than did urban participants (rural: mean = 61.7, standard error[SE] = 0.40; urban: mean = 60.6, SE = 0.35; adjusted beta = 1.45, SE = 0.54, p < .01). Higher social cohesion was associated with greater healthcare access: last-year check-up: adjusted odds ratio[aOR] = 1.25, 95% confidence interval[CI] = 1.17-1.33; having a personal provider: aOR = 1.11, 95% CI = 1.03-1.18; and being up-to-date with CRC screening: aOR = 1.17, 95% CI = 1.10-1.25. In addition, higher social cohesion was associated with improved health status: higher mental health scores (adjusted beta = 1.03, SE = 0.15, p < .001) and lower body mass index (BMI; beta = -0.26, SE = 0.10, p = .01). Compared to urban participants, rural participants were less likely to have a personal provider, had lower physical and mental health scores, and had higher BMI. Paradoxically, rural residents had higher social cohesion but generally poorer health outcomes than did urban residents, even though higher social cohesion is associated with better health. These findings have implications for research and policy to promote social cohesion and health, particularly for health promotion interventions to reduce disparities experienced by rural residents.

Risk stratification models for predicting preventable hospitalization in commercially insured late middle-aged adults with depression

BACKGROUND

A significant number of late middle-aged adults with depression have a high illness burden resulting from chronic conditions which put them at high risk of hospitalization. Many late middle-aged adults are covered by commercial health insurance, but such insurance claims have not been used to identify the risk of hospitalization in individuals with depression. In the present study, we developed and validated a non-proprietary model to identify late middle-aged adults with depression at risk for hospitalization, using machine learning methods.

METHODS

This retrospective cohort study involved 71,682 commercially insured older adults aged 55-64 years diagnosed with depression. National health insurance claims were used to capture demographics, health care utilization, and health status during the base year. Health status was captured using 70 chronic health conditions, and 46 mental health conditions. The outcomes were 1- and 2-year preventable hospitalization. For each of our two outcomes, we evaluated seven modelling approaches: four prediction models utilized logistic regression with different combinations of predictors to evaluate the relative contribution of each group of variables, and three prediction models utilized machine learning approaches - logistic regression with LASSO penalty, random forests (RF), and gradient boosting machine (GBM).

RESULTS

Our predictive model for 1-year hospitalization achieved an AUC of 0.803, with a sensitivity of 72% and a specificity of 76% under the optimum threshold of 0.463, and our predictive model for 2-year hospitalization achieved an AUC of 0.793, with a sensitivity of 76% and a specificity of 71% under the optimum threshold of 0.452. For predicting both 1-year and 2-year risk of preventable hospitalization, our best performing models utilized the machine learning approach of logistic regression with LASSO penalty which outperformed more black-box machine learning models like RF and GBM.

CONCLUSIONS

Our study demonstrates the feasibility of identifying depressed middle-aged adults at higher risk of future hospitalization due to burden of chronic illnesses using basic demographic information and diagnosis codes recorded in health insurance claims. Identifying this population may assist health care planners in developing effective screening strategies and management approaches and in efficient allocation of public healthcare resources as this population transitions to publicly funded healthcare programs, e.g., Medicare in the US.

Economic fluctuations and educational inequalities in premature ischemic heart disease mortality in Argentina

Although mortality from ischemic heart disease has declined over the past decades in Argentina, ischemic heart disease remains one of the most frequent causes of death. This study aimed to describe the role of individual and contextual factors on premature ischemic heart disease mortality and to analyze how educational differentials in premature ischemic heart disease mortality changed during economic fluctuations in two provinces of Argentina from 1990 to 2018. To test the relationship between individual (age, sex, and educational level) and contextual (urbanization, poverty, and macroeconomic variations) factors, a multilevel Poisson model was estimated. When controlling for the level of poverty at the departmental level, we observed inequalities in premature ischemic heart disease mortality according to the educational level of individuals, affecting population of low educational level. Moreover, economic expansion was related to an increase in ischemic heart disease mortality, however, expansion years were not associated with increasing educational inequalities in ischemic heart disease mortality. At the departmental level, we found no contextual association beween area-related socioeconomic level and the risk of ischemic heart disease mortality. Despite the continuing decline in ischemic heart disease mortality in Argentina, this study highlighted that social inequalities in mortality risk increased over time. Therefore, prevention policies should be more focused on populations of lower socioeconomic status in Argentina.

Unravelling the predictors of late cancer presentation and diagnosis in Jordan: a cross-sectional study of patients with lung and colorectal cancers

OBJECTIVES

Late presentation or diagnosis of cancer results in a poor clinical prognosis, negatively affects treatment and subsequently lowers one's chances of survival. This study aimed to identify the factors associated with late lung and colorectal cancer presentation and diagnosis in Jordan.

DESIGN

This correlational cross-sectional study was based on face-to-face interviews and medical chart reviews from a cancer registry database. A structured questionnaire based on a review of the literature was used.

SETTING AND PARTICIPANTS

The study participants were a representative sample of adult patients with colorectal or lung cancer who visited the outpatient clinics at King Hussein Cancer Center in Amman, Jordan, between January 2019 and December 2020, to get their first medical consultation.

RESULTS

382 study participants were surveyed, with a response rate of 82.3%. Of these, 162 (42.2%) reported a late presentation and 92 (24.1%) reported a late diagnosis of cancer. The results of backward multivariate logistic regression analyses showed that female gender and not seeking a medical advice when feeling ill combined was associated with an almost three times increased likelihood of reporting a late presentation with cancer (adjusted OR 2.97, 95% CI 1.19 to 7.43). Not having health insurance and not seeking medical advice combined was also associated with late presentation (2.5, 95% CI 1.02 to 6.12). For lung cancer, Jordanians living in rural areas were 9.29 (95% CI 2.46 to 35.1) times more likely to report late diagnosis. Jordanians who did not screen for cancer in the past were 7.02 (95% CI 1.69 to 29.18) times more likely to report late diagnosis. For colorectal cancer, those having no previous knowledge about cancers or screening programmes had increased odds of reporting late diagnosis (2.30, 95% CI 1.06 to 4.97).

CONCLUSIONS

This study highlights important factors associated with the late presentation and diagnosis of colorectal and lung cancers in Jordan. Investing in national screening and early detection programmes as well as public outreach and awareness campaigns will have a significant impact on early detection to improve treatment outcomes.

Health equity considerations in guideline development: a rapid scoping review

BACKGROUND

Systematic guidance for considering health equity in guidelines is lacking. This scoping review aims to synthesize current best practices for integrating health equity into guideline development and the benefits or drawbacks of these practices.

METHODS

We searched Ovid MEDLINE ALL and Embase Classic+Embase on the Ovid platform, CINAHL on EBSCO, and Web of Science (Core Collection) from 2010 to 2022. We searched grey literature from 2015 to 2022, using the Canadian Agency for Drugs and Technologies in Health Grey Matters checklist and searches of potentially relevant websites. Articles were screened independently by 1 reviewer. Proposed best practices, advantages and disadvantages, and tools were extracted independently by 1 reviewer and qualitatively synthesized based on the relevant steps of a comprehensive checklist covering the stages of guideline development.

RESULTS

We included 26 articles that proposed best practices for incorporating health equity within the guideline development process. These practices were organized under different stages of the development process, including guideline planning, evidence review, guideline development and dissemination. Included studies provided best practices from guideline producers, articles discussing health equity in current guidelines, articles addressing strategies to increase equity in the guideline implementation process, and literature reviews of promising health equity practices.

INTERPRETATION

Our scoping review identified best practices to incorporate health equity considerations at each phase of guideline development. Identified practices may be used to inform equity-promoting strategies with the guideline development process; however, guideline producers should carefully consider the advantages and disadvantages of best practices when integrating health equity.

Effect of lifestyle-based lipid lowering interventions on the relationship between circulating levels of per-and polyfluoroalkyl substances and serum cholesterol

Exposure to certain per-and polyfluoroalkyl substances (PFAS) has been shown to be positively associated with total and/or low-density lipoprotein cholesterol. Examining this association in lipid lowering interventions may provide additional evidence linking PFAS to cardiovascular risk. We examined the relationship of 6 PFAS with cholesterol in a 6-month lifestyle-based intervention. We quantitated PFAS in 350 individuals at baseline and post intervention and examined associations of PFAS with cholesterol before and after intervention. Food frequency questionnaires and GIS analyses were used to investigate PFAS hotspots and possible exposure routes. Cholesterol significantly decreased following intervention and in parallel, PFOS, PFOA, PFHxS, and PFHpA significantly decreased. PFOS was positively correlated with total cholesterol only post-intervention. We observed that PFOS was distributed among both non-albumin and albumin lipoprotein fractions pre-intervention, but entirely in albumin fraction post-intervention. Our results indicate that lipid-lowering via lifestyle modification may impact on circulating levels or distribution of PFAS.

Urban-Rural Disparities in Deaths of Despair: A County-Level Analysis 2004-2016 in the U.S

Introduction

The purpose of this study is to examine nationwide disparities in drug, alcohol, and suicide mortality; evaluate the association between county-level characteristics and these mortality rates; and illustrate spatial patterns of mortality risk to identify areas with elevated risk.

Methods

The authors applied a Bayesian spatial regression technique to investigate the association between U.S. county-level characteristics and drug, alcohol, and suicide mortality rates for 2004-2016, accounting for spatial correlation that occurs among counties.

Results

Mortality risks from drug, alcohol, and suicide were positively associated with the degree of rurality, the proportion of vacant housing units, the population with a disability, the unemployed population, the population with low access to grocery stores, and the population with no health insurance. Conversely, risks were negatively associated with Hispanic population, non-Hispanic Black population, and population with a bachelor's degree or higher.

Conclusions

Spatial disparities in drug, alcohol, and suicide mortality exist at the county level across the U.S. social determinants of health; educational attainment, degree of rurality, ethnicity, disability, unemployment, and health insurance status are important factors associated with these mortality rates. A comprehensive strategy that includes downstream interventions providing equitable access to healthcare services and upstream efforts in addressing socioeconomic conditions is warranted to effectively reduce these mortality burdens.

Reliability and Validity of the State-Trait Hopelessness Scale in a Primarily Rural Population of Adults With Ischemic Heart Disease in the US Great Plains

PURPOSE

Hopelessness and rurality are each independently associated with increased mortality in adults with ischemic heart disease (IHD), yet there is no known research examining hopelessness in rural patients with IHD. The authors of this study evaluated the reliability and validity of the State-Trait Hopelessness Scale (STHS) in a primarily rural population of adults with IHD living in West North Central United States (US Great Plains).

METHODS

Reliability, concurrent validity, and convergent validity were evaluated for 115 adults hospitalized for IHD. Rural-Urban Commuting Area codes were used to stratify participants by rurality level, with 66% categorized as rural. Principal component analysis was used to examine potential factor structure of the STHS.

FINDINGS

Cronbach α for the State and Trait Hopelessness subscales were 0.884 and 0.903, respectively. Concurrent validity was supported for the State and Trait subscales using the Patient Health Questionnaire-8 (State: r = 0.50, P < .001; Trait: r = 0.35, P < .001). Convergent validity was supported for the State subscale using the Duke Activity Status Index ( r = -0.23, P = .013). Principal component analysis showed 2 factors (hopelessness present and hopelessness absent) for the State and Trait subscales, accounting for 63% and 58% of variance, respectively.

CONCLUSIONS

Findings support the reliability and validity of the STHS for evaluation of hopelessness in rural adults with IHD in clinical and research settings. Results replicated the same factor structure found in testing of the STHS in a primarily urban sample. Because of the prevalence of hopelessness in rural adults with IHD and association with increased mortality, hopelessness should be assessed during hospitalization and in the recovery period.

Increasing lipid screenings in children 9-11 years old at a federally qualified health center - A quality improvement project

BACKGROUND

Coronary artery disease (CAD) remains the leading cause of death in the U.S. Atherosclerotic changes leading to CAD begin in early childhood. Universal lipid screenings remain low nationwide despite the 2011 National Heart, Lung, and Blood Institute's (NHLBI) Expert Panel Guidelines.

LOCAL PROBLEM

The aim of this quality improvement project was to examine the benefit of an educational intervention on the implementation of universal lipid screening guidelines within a federally qualified health center tasked with providing care to a high-risk population.

INTERVENTION

An educational intervention was offered detailing the 2011 NHLBI guidelines. A total of seven medical providers participated in the intervention.

METHOD

Following the intervention, a pre- and post- knowledge survey was given to assess improvement in knowledge. A retrospective chart review was performed to evaluate application to practice.

RESULTS

The number of lipid screenings improved from 7.8% (n = 384) pre-intervention to 39.2% (n = 74) post intervention. There was a statistically significant increase in screenings post-intervention t (456) = 7.842, p = .000, two-tailed).

CONCLUSION

More studies are needed to adequately identify the impact of universal screening guidelines on the health of both children and adults alike.

PRACTICE IMPLICATIONS

Universal lipid screenings remain promising in early identification of CAD in the pediatric population. Interventions related to expanding the knowledge of healthcare providers, patients, and families are key to decreasing CAD morbidity and mortality.

Rural-urban differences in the initiation of oral anticoagulant therapy in patients with incident atrial fibrillation: A Finnish nationwide cohort study

AIMS

Little is known about rural-urban differences in the treatment and outcomes in patients with atrial fibrillation (AF). We aimed to assess whether the initiation of oral anticoagulant (OAC) therapy in patients with AF differs between those with rural and urban residence.

METHODS

The registry-based FinACAF cohort covers all patients with AF from all levels of care in Finland. Patients were divided into rural and urban categories and into urbanization degree tertiles based on their municipality of residence at the time of AF diagnosis. The outcome was the first redeemed OAC prescription.

RESULTS

We identified 222 419 patients (50.1% female; mean age 72.8 (SD 13.2) years) with incident AF during 2007-2018. Urban residence was associated with a lower rate of OAC therapy initiation (adjusted subdistribution hazard ratio (SHR) (95% CI) 0.96 (0.95-0.97)). Correspondingly, an inverse graded dose-response relationship was observed between higher urbanization degree tertile and OAC initiation rate (highest tertile compared to lowest: adjusted SHR (95% CI) 0.94 (0.93-0.95)). The adoption of direct oral anticoagulants for stroke prevention was faster among patients with urban residence.

CONCLUSION

This nationwide cohort study documented that urban residence is associated with a slightly lower rate of OAC therapy initiation in patients with incident AF, but faster adoption of direct oral anticoagulant use.

Reviewing the evidence on health financing for effective coverage: do financial incentives work?

The widening gap between improving healthcare coverage rates and stagnating health outcomes across low-income and middle-income countries highlights the need for investments in quality of care, in addition to access. New research, presented in a World Bank report, examines one type of relevant policy reform: performance-based financing (PBF), which is a package reform that always includes performance pay to front-line health workers and often also provides facility autonomy, transparency and community engagement. A large body of rigorous studies and new analysis show that in under-resourced, centralised health systems, PBF can result in gains to service utilisation, but only has limited impacts on quality. Even the relative benefits of PBF on service utilisation are less clear when compared with (1) direct facility financing which provides front-line facilities with operating budgets and provider autonomy, but not performance pay and (2) demand-side financial support for health services (ie, conditional cash transfers and vouchers). Thus, the central component of PBF—the performance pay—appears to add little value over flexible payment systems and provider autonomy. The analysis shows that this lack of impact is unsurprising because most of the constraints to improving quality do not lie with the health worker in these settings. While PBF was conceived as a complex package ‘blueprint’, we review the evidence to conclude that only some elements seem to make sense. To improve quality of care, health financing should pivot from performance pay while retaining the elements of direct facility financing, autonomy, transparency and community engagement.

Rural-urban outcome differences associated with COVID-19 hospitalizations in North Carolina

People living in rural regions in the United States face more health challenges than their non-rural counterparts which could put them at additional risks during the COVID-19 pandemic. Few studies have examined if rurality is associated with additional mortality risk among those hospitalized for COVID-19. We studied a retrospective cohort of 3,991 people hospitalized with SARS-CoV-2 infections discharged between March 1 and September 30, 2020 in one of 17 hospitals in North Carolina that collaborate as a clinical data research network. Patient demographics, comorbidities, symptoms and laboratory data were examined. Logistic regression was used to evaluate associations of rurality with a composite outcome of death/hospice discharge. Comorbidities were more common in the rural patient population as were the number of comorbidities per patient. Overall, 505 patients died prior to discharge and 63 patients were discharged to hospice. Among rural patients, 16.5% died or were discharged to hospice vs. 13.3% in the urban cohort resulting in greater odds of death/hospice discharge (OR 1.3, 95% CI 1.1, 1.6). This estimate decreased minimally when adjusted for age, sex, race/ethnicity, payer, disease comorbidities, presenting oxygen levels and cytokine levels (adjusted model OR 1.2, 95% CI 1.0, 1.5). This analysis demonstrated a higher COVID-19 mortality risk among rural residents of NC. Implementing policy changes may mitigate such disparities going forward.

A Structural Equation Modeling Analysis to Explore Diabetes Self-Care Factors in a Rural Sample

Diabetes is a public health problem that requires management to avoid health sequelae. Little is known about the determinants that influence diabetes self-care activities among rural populations. The purpose of this analysis was to explore the relationships among diabetes self-care activities, diabetes knowledge, perceived diabetes self-management, diabetes fatalism, and social support among an underserved rural group in the southern United States. A diabetes health promotion program was tested during a cluster randomized trial that tested a disease risk reduction program among adults living with prediabetes and diabetes. A structural equation model was fit to test psychosocial factors that influence diabetes self-care activities using the Information-Motivation-Behavioral Skills Model of Diabetes Self-Care (IMB-DSC) to guide the study. Perceived diabetes self-management significantly predicted self-care behaviors, and there was also a correlation between perceived diabetes self-management and diabetes fatalism. Perceived diabetes self-management influenced diabetes self-care activities in this rural sample and had an association with diabetes fatalism. The findings of this study can facilitate clinical care and community programs targeting diabetes and advance health equity among underserved rural groups.

Geographic disparities in cardiovascular mortality among patients with myelodysplastic syndromes: A population-based analysis

INTRODUCTION

Clonal hematopoiesis, a precursor to myelodysplastic syndromes (MDS), constitutes a novel cardiovascular disease (CVD) risk factor, causing growing interest in cardiovascular outcomes in MDS. Rurality is associated with increased CVD but studies on cardiovascular geographic disparities in MDS are lacking.

METHODS

Using the U.S. Surveillance, Epidemiology, and End Results (SEER) registry, we identified 52,750 MDS patients between 2001 and 2016. Rurality was defined using Rural-Urban Continuum Codes. Cox regression estimated the association of rurality and cardiovascular death.

RESULTS

MDS incidence was equal in urban and rural populations (6.7 per 100,000). Crude probability of cardiovascular death was higher among rural MDS patients. Adjusting for age, sex, race/ethnicity, marital status, insurance, and MDS risk (defined from histology), rural patients had 12% increased risk of CVD death compared to urban patients (HR=1.12, 95%CI 1.03-1.21). HR for CVD death was 1.22 (95%CI 1.01-1.5) in patients from the most rural areas (less than 2500 urban population). Among MDS patients younger than 65 years, rurality was associated with 25% increased risk of CVD death (HR=1.25, 95%CI 1.01-1.59).

DISCUSSION

This population-based analysis suggests that rural residence is linked to higher burden of cardiovascular death in patients with MDS. The disparity is not explained by demographic factors or MDS risk. Interventions targeting CVD may improve outcomes in rural MDS patients.

Black Patients Matter in Neurology: Race, Racism, and Race-Based Neurodisparities

Black people living in the United States suffer disproportionate morbidity and mortality across a wide range of neurologic conditions. Despite common conceptions to the contrary, "race" is a socially defined construct with little genetic validity. Therefore, racial health inequities in neurology ("neurodisparities") are not a consequence of biologic differences between races. Instead, racism and associated social determinants of health are the root of neurodisparities. To date, many neurologists have neglected racism as a root cause of neurologic disease, further perpetuating the problem. Structural racism, largely ignored in current neurologic practice and policy, drives neurodisparities through mediators such as excessive poverty, inferior health insurance, and poorer access to neurologic and preventative care. Interpersonal racism (implicit or explicit) and associated discriminatory practices in neurologic research, workforce advancement, and medical education also exacerbate neurodisparities. Neurologists cannot fulfill their professional and ethical responsibility to care for Black patients without understanding how racism, not biologic race, drives neurodisparities. In our review of race, racism, and race-based disparities in neurology, we highlight the current literature on neurodisparities across a wide range of neurologic conditions and focus on racism as the root cause. We discuss why all neurologists are ethically and professionally obligated to actively promote measures to counteract racism. We conclude with a call for actions that should be implemented by individual neurologists and professional neurologic organizations to mitigate racism and work towards health equity in neurology.

Household income, fetal size and birth weight: an analysis of eight populations

BACKGROUND

The age at onset of the association between poverty and poor health is not understood. Our hypothesis was that individuals from highest household income (HI), compared to those with lowest HI, will have increased fetal size in the second and third trimester and birth.

METHODS

Second and third trimester fetal ultrasound measurements and birth measurements were obtained from eight cohorts. Results were analysed in cross-sectional two-stage individual patient data (IPD) analyses and also a longitudinal one-stage IPD analysis.

RESULTS

The eight cohorts included 21 714 individuals. In the two-stage (cross-sectional) IPD analysis, individuals from the highest HI category compared with those from the lowest HI category had larger head size at birth (mean difference 0.22 z score (0.07, 0.36)), in the third trimester (0.25 (0.16, 0.33)) and second trimester (0.11 (0.02, 0.19)). Weight was higher at birth in the highest HI category. In the one-stage (longitudinal) IPD analysis which included data from six cohorts (n=11 062), head size was larger (mean difference 0.13 (0.03, 0.23)) for individuals in the highest HI compared with lowest category, and this difference became greater between the second trimester and birth. Similarly, in the one-stage IPD, weight was heavier in second highest HI category compared with the lowest (mean difference 0.10 (0 .00, 0.20)) and the difference widened as pregnancy progressed. Length was not linked to HI category in the longitudinal model.

CONCLUSIONS

The association between HI, an index of poverty, and fetal size is already present in the second trimester.

Spatial environmental factors predict cardiovascular and all-cause mortality: Results of the SPACE study

BACKGROUND

Environmental exposures account for a growing proportion of global mortality. Large cohort studies are needed to characterize the independent impact of environmental exposures on mortality in low-income settings.

METHODS

We collected data on individual and environmental risk factors for a multiethnic cohort of 50,045 individuals in a low-income region in Iran. Environmental risk factors included: ambient fine particular matter air pollution; household fuel use and ventilation; proximity to traffic; distance to percutaneous coronary intervention (PCI) center; socioeconomic environment; population density; local land use; and nighttime light exposure. We developed a spatial survival model to estimate the independent associations between these environmental exposures and all-cause and cardiovascular mortality.

FINDINGS

Several environmental factors demonstrated associations with mortality after adjusting for individual risk factors. Ambient fine particulate matter air pollution predicted all-cause mortality (per μg/m3, HR 1.20, 95% CI 1.07, 1.36) and cardiovascular mortality (HR 1.17, 95% CI 0.98, 1.39). Biomass fuel use without chimney predicted all-cause mortality (reference = gas, HR 1.23, 95% CI 0.99, 1.53) and cardiovascular mortality (HR 1.36, 95% CI 0.99, 1.87). Kerosene fuel use without chimney predicted all-cause mortality (reference = gas, HR 1.09, 95% CI 0.97, 1.23) and cardiovascular mortality (HR 1.19, 95% CI 1.01, 1.41). Distance to PCI center predicted all-cause mortality (per 10km, HR 1.01, 95% CI 1.004, 1.022) and cardiovascular mortality (HR 1.02, 95% CI 1.004, 1.031). Additionally, proximity to traffic predicted all-cause mortality (HR 1.13, 95% CI 1.01, 1.27). In a separate validation cohort, the multivariable model effectively predicted both all-cause mortality (AUC 0.76) and cardiovascular mortality (AUC 0.81). Population attributable fractions demonstrated a high mortality burden attributable to environmental exposures.

INTERPRETATION

Several environmental factors predicted cardiovascular and all-cause mortality, independent of each other and of individual risk factors. Mortality attributable to environmental factors represents a critical opportunity for targeted policies and programs.

Alzheimer's Disease Mortality as a Function of Urbanization Level: 1999-2019

This study investigated Alzheimer's disease (AD) mortality trends by urbanization level and geographical location in the U.S. The CDC's WONDER database was used to investigate AD mortality from 1999-2019 stratified by urbanization level, census division, race, and sex. Data showed that while AD mortality increased across the U.S., rural areas, particularly in the South, had higher mortality compared to urban counterparts. AD mortality was higher among the female and White population. Data suggested that the urban-rural discrepancy is widening over time. Identifying health disparities underlying the urban-rural discrepancy in AD mortality is critical for allocating social and public health resources.

What matters for health? Public views from eight countries

INTRODUCTION

Despite growing scholarship on the social determinants of health (SDoH), wider action remains in its early stages. Broad public understanding of SDoH can help catalyse such action. This paper aimed to document public perception of what matters for health from countries with broad geographic, cultural, linguistic, population composition, language and income level variation.

METHODS

We conducted an online survey in Brazil, China, Germany, Egypt, India, Indonesia, Nigeria and the USA to assess rankings of what respondents thought matters for health and what they perceived decision makers think matters for health. We analysed the percentages of each determinant rated as the most important for good health using two metrics: the top selection and a composite of the top three selections. We used two-tailed χ² test for significance testing between groups.

RESULTS

Of 8753 respondents, 56.2% (95% CI 55.1% to 57.2%) ranked healthcare as the most important determinant of good health using the composite metric. This ranking was consistent across countries except in China where it appeared second. While genetics was cited as the most important determinant by 22.3% (95% CI 21.5% to 23.2%) of the overall sample with comparable rates in most countries, the percentage increased to 33.3% (95% CI 30.5% to 36.3%) in Germany and 35.9% (95% CI 33.0% to 38.8%) in the USA. Politics was the determinant with the greatest absolute difference (18.5%, 95% CI 17.3% to 19.6%) between what respondents considered matters for health versus what they perceived decision makers think matters for health.

CONCLUSION

The majority of people consider healthcare the most important determinant of health, well above other social determinants. This highlights the need for more investment in communication efforts around the importance of SDoH.

Urban Scaling of Health Outcomes: a Scoping Review

Urban scaling is a framework that describes how city-level characteristics scale with variations in city size. This scoping review mapped the existing evidence on the urban scaling of health outcomes to identify gaps and inform future research. Using a structured search strategy, we identified and reviewed a total of 102 studies, a majority set in high-income countries using diverse city definitions. We found several historical studies that examined the dynamic relationships between city size and mortality occurring during the nineteenth and early twentieth centuries. In more recent years, we documented heterogeneity in the relation between city size and health. Measles and influenza are influenced by city size in conjunction with other factors like geographic proximity, while STIs, HIV, and dengue tend to occur more frequently in larger cities. NCDs showed a heterogeneous pattern that depends on the specific outcome and context. Homicides and other crimes are more common in larger cities, suicides are more common in smaller cities, and traffic-related injuries show a less clear pattern that differs by context and type of injury. Future research should aim to understand the consequences of urban growth on health outcomes in low- and middle-income countries, capitalize on longitudinal designs, systematically adjust for covariates, and examine the implications of using different city definitions.

Divergent decennial trends in mental health according to age reveal poorer mental health for young people: repeated cross-sectional population-based surveys from the HUNT Study, Norway

OBJECTIVES

Public health trends are formed by political, economic, historical and cultural factors in society. The aim of this paper was to describe overall changes in mental health among adolescents and adults in a Norwegian population over the three last decades and discuss some potential explanations for these changes.

DESIGN

Repeated population-based health surveys to monitor decennial changes.

SETTING

Data from three cross-sectional surveys in 1995-1997, 2006-2008 and 2017-2019 in the population-based HUNT Study in Norway were used.

PARTICIPANTS

The general population in a Norwegian county covering participants aged 13-79 years, ranging from 48 000 to 62 000 000 in each survey.

MAIN OUTCOME MEASURES

Prevalence estimates of subjective anxiety and depression symptoms stratified by age and gender were assessed using the Hopkins Symptom Checklist-5 for adolescents and the Hospital Anxiety and Depression Scale for adults.

RESULTS

Adolescents' and young adults' mental distress increased sharply, especially between 2006-2008 and 2017-2019. However, depressive symptoms instead declined among adults aged 60 and over and anxiety symptoms remained largely unchanged in these groups.

CONCLUSIONS

Our trend data from the HUNT Study in Norway indicate poorer mental health among adolescents and young adults that we suggest are related to relevant changes in young people's living conditions and behaviour, including the increased influence of screen-based media.

Racial Inequities Across Rural Strata in Acute Stroke Care and In-Hospital Mortality: National Trends Over 6 Years

BACKGROUND

There are glaring racial and rural-urban inequities in stroke outcomes. The objective of this study was to determine whether there were recent changes to trends in racial inequities in stroke treatment and in-hospital mortality, and whether racial inequities differed across rural strata.

METHODS

Retrospective analysis of Black and White patients >18 years old admitted to US acute care hospitals with a primary discharge diagnosis of stroke (unweighted N=652 836) from the National Inpatient Sample from 2012 to 2017. Rural residence was classified by county as urban, town, or rural. The primary outcomes were intravenous thrombolysis and endovascular therapy use among patients with acute ischemic stroke, and in-hospital mortality for all stroke patients. Logistic regression models were run for each outcome adjusting for age, comorbidities, primary payer, and ZIP code median income.

RESULTS

The sample was 53% female, 81% White, and 19% Black. Black patients from rural areas had the lowest odds of receiving intravenous thrombolysis (adjusted odds ratio [aOR], 0.43 [95% CI, 0.37-0.50]) and endovascular therapy (aOR, 0.60 [0.46-0.78]), compared with White urban patients. Black rural patients were the least likely to be discharged home after a stroke compared with White/urban patients (aOR, 0.79 [0.75-0.83]), this was true for Black patients across the urban-rural spectrum when compared with Whites. Black patients from urban areas had lower mortality than White patients from urban areas (aOR, 0.87 [0.84-0.91]), while White patients from rural areas (aOR, 1.14 [1.10-1.19]) had the highest mortality of all groups.

CONCLUSIONS

Black patients living in rural areas represent a particularly high-risk group for poor access to advanced stroke care and impaired poststroke functional status. Rural White patients have the highest in-hospital mortality. Clinical and policy interventions are needed to improve access and reduce inequities in stroke care and outcomes.

The Cost-Effectiveness of a Telemedicine Screening Program for Diabetic Retinopathy in New York City

Background

A telemedicine screening initiative was implemented by the Montefiore Health System to improve access to eyecare for a multi-ethnic, at-risk population of diabetic patients in a largely underserved urban community in the Bronx, New York. This retrospective, cross-sectional analysis evaluates the societal benefit and financial sustainability of this program by analyzing both cost and revenue generation based on current standard Medicare reimbursement rates.

Methods

Non-mydriatic fundus cameras were placed in collaboration with a vendor in eight outpatient primary care sites throughout the Montefiore Health Care System, and data was collected between June 2014 and July 2016. Fundus photos were electronically transmitted to a central reading center to be systematically reviewed and coded by faculty ophthalmologists, and patients were subsequently scheduled for ophthalmic evaluation based upon a predetermined treatment algorithm. A retrospective chart review of 2251 patients was performed utilizing our electronic medical record system (Epic Systems, Verona WI). Revenue was projected utilizing standard Medicare rates for our region while societal benefit was calculated using quality adjusted life years (QALY).

Results

Of the 2251 patient charts reviewed, 791 patients (35.1%) were seen by Montefiore ophthalmologists within a year of the original screening date. Estimated revenue generated by these visits was $276,800, with the majority from the treatment of retinal disease ($208,535), and the remainder from other ophthalmic conditions detected in the fundus photos ($68,265). There was a societal benefit of 14.66 quality adjusted life years (QALYs) with an estimated value of $35,471/QALY.

Conclusion

This telemedicine initiative was successful in identifying many patients with diabetic retinopathy and other ophthalmic conditions who may otherwise not have been formally evaluated. Our analysis demonstrates the program to generate a downstream revenue of nearly $280K with a cost benefit below <50% of the threshold of $100,000/QALY, and therefore cost-effective in marginalized communities.

The effects of demographic, psychosocial, and socioeconomic characteristics on access to heart transplantation and left ventricular assist device

Background

This study aims to better understand how demographic, psychosocial, and socioeconomic factors influence the selection of patients for advanced therapies for heart failure (heart transplant and left ventricular assist device (LVAD)).

Methods

Patients evaluated for heart transplant or LVAD at a large, Midwestern hospital system were assessed retrospectively. Three outcomes were analyzed: 1) Patients who were evaluated and approved to receive a transplant or LVAD were compared to patients who were not approved for transplant or LVAD; 2) Patients who were listed for transplant were compared to patients not listed; and 3) Patients who received a transplant or LVAD were compared to patients who did not receive a transplant or LVAD. ANOVA was used for continuous variables and Chi-squared test for categorical variables. Significant variables were further analyzed by logistic regression.

Results

Four hundred fifty-nine patients were included. Marital status (p = 0.004), race (p = 0.008), social support (p < 0.001), mental health (p = 0.006), and substance use (p < 0.001) were associated with whether patients were approved for transplant or LVAD. Patients with public insurance were half as likely (OR 0.495) to be listed for transplant once approved.

Conclusions

Financial, psychosocial, and demographic characteristics all play a role in selection for advanced therapies for heart failure. These insights can help guide future work on interventions to address the social disparities in access to heart transplant and LVAD.

Long-term nitrogen dioxide exposure and cause-specific mortality in the U.S. Medicare population

BACKGROUND

Since 1971, the annual National Ambient Air Quality Standard (NAAQS) for nitrogen dioxide (NO₂) has remained at 53 ppb, the impact of long-term NO₂ exposure on mortality is poorly understood.

OBJECTIVES

We examined associations between long-term NO₂ exposure (12-month moving average of NO₂) below the annual NAAQS and cause-specific mortality among the older adults in the U.S.

METHODS

Cox proportional-hazard models were used to estimate Hazard Ratio (HR) for cause-specific mortality associated with long-term NO₂ exposures among about 50 million Medicare beneficiaries living within the conterminous U.S. from 2001 to 2008.

RESULTS

A 10 ppb increase in NO₂ was associated with increased mortality from all-cause (HR: 1.06; 95% CI: 1.05-1.06), cardiovascular (HR: 1.10; 95% CI: 1.10-1.11), respiratory disease (HR: 1.09; 95% CI: 1.08-1.11), and cancer (HR: 1.01; 95% CI: 1.00-1.02) adjusting for age, sex, race, ZIP code as strata ZIP code- and state-level socio-economic status (SES) as covariates, and PM_2.5 exposure using a 2-stage approach. NO₂ was also associated with elevated mortality from ischemic heart disease, cerebrovascular disease, congestive heart failure, chronic obstructive pulmonary disease, pneumonia, and lung cancer. We found no evidence of a threshold, with positive and significant HRs across the range of NO₂ exposures for all causes of death examined. Exposure-response curves were linear for all-cause, supra-linear for cardiovascular-, and sub-linear for respiratory-related mortality. HRs were highest consistently among Black beneficiaries.

CONCLUSIONS

Long-term NO₂ exposure is associated with elevated risks of death by multiple causes, without evidence of a threshold response. Our findings raise concerns about the sufficiency of the annual NAAQS for NO₂.

Socioeconomic risk markers of arthropod-borne virus (arbovirus) infections: a systematic literature review and meta-analysis

Introduction

Arthropod-borne viruses (arboviruses) are of notable public health importance worldwide, owing to their potential to cause explosive outbreaks and induce debilitating and potentially life-threatening disease manifestations. This systematic review and meta-analysis aims to assess the relationship between markers of socioeconomic position (SEP) and infection due to arboviruses with mosquito vectors.

Methods

We conducted a systematic search on PubMed, Embase, and LILACS databases to identify studies published between 1980 and 2020 that measured the association of SEP markers with arbovirus infection. We included observational studies without geographic location or age restrictions. We excluded studies from grey literature, reviews and ecological studies. Study findings were extracted and summarised, and pooled estimates were obtained using random-effects meta-analyses.

Results

We identified 36 observational studies using data pertaining to 106 524 study participants in 23 geographic locations that empirically examined the relationship between socioeconomic factors and infections caused by seven arboviruses (dengue, chikungunya, Japanese encephalitis, Rift Valley fever, Sindbis, West Nile and Zika viruses). While results were varied, descriptive synthesis pointed to a higher risk of arbovirus infection associated with markers of lower SEP, including lower education, income poverty, low healthcare coverage, poor housing materials, interrupted water supply, marital status (married, divorced or widowed), non-white ethnicities and migration status. Pooled crude estimates indicated an increased risk of arboviral infection associated with lower education (risk ratio, RR 1.5 95% CI 1.3 to 1.9); I²=83.1%), interruption of water supply (RR 1.2; 95% CI 1.1 to 1.3; I²=0.0%) and having been married (RR 1.5 95% CI 1.1 to 2.1; I²=85.2%).

Conclusion

Evidence from this systematic review suggests that lower SEP increases the risk of acquiring arboviral infection; however, there was large heterogeneity across studies. Further studies are required to delineate the relationship between specific individual, household and community-level SEP indicators and arbovirus infection risks to help inform targeted public health interventions.

PROSPERO registration number

CRD42019158572.

Can a High-Powered Financial Incentive Program Reduce Resignation Rates among Healthcare Providers in Rural Areas? Evidence from Thailand's 2008 Hardship Allowance Program

Geographic disparities in the availability of healthcare providers remain a global health challenge. Financial incentives have been widely implemented to attract rural healthcare workers with limited scientific evidence in developing economies. In this study, we investigate the relationship between financial incentives and rural resignations in a middle-income country using Thailand's Hardship Allowance program that first doubled or tripled but later decreased direct payments to rural providers. This retrospective observational study used data on dentists' work status from the Human Resource Management Department at the Ministry of Public Health in Thailand. Segmented regression and difference-in-differences approaches were used to analyze the effect of changes to the Hardship Allowance on rural dentists' resignation and relocation patterns. We found that the dramatic increase in the Hardship Allowance in 2008 was associated with a decrease in resignation rates among dentists in rural areas. However, after Thailand recategorized certain rural districts into urban areas in 2016, dentists were more likely to relocate from the newly urbanized areas to established urban centers, likely due in part to reductions in the Hardship Allowance that accompanied recategorization. However, we did not find that resignations increased in these affected areas. Finally, in a subgroup analysis, we found that older dentists were less likely than younger dentists to relocate from areas affected by the 2016 rural-to-urban recategorization. Overall, our study found that a dramatic increase in financial incentives reduced resignation rates in rural Thailand, but a reversal of the incentives as a result of rural-to-urban reclassification resulted in relocations from the affected areas to established urban centers. When considering their strategic goals of equitable healthcare workforce distribution, policy makers should be aware that both direct and indirect changes to payment incentives may affect dentists' resignation and practice location decisions, and that these decisions may be influenced by provider demographics.

Gender differences in prevalence of myocardial infarction in rural West Texans

Background

Heart disease is the leading cause of death in the United States. Incidence rates of myocardial infarction (MI) in rural West Texas signify a lack of effective, risk-specific prevention programs. The purpose of this study was to identify gender-specific risk factors for MI in rural West Texans.

Subjects and methods

Hospital patient data for those with and without a history of MI were obtained from the Project FRONTIER database for rural West Texas counties. We used statistical software, such as SPSS, R, and WinBUGS to detect and understand the nature of MI risk factors. Statistical methods including t-tests, Chi-squared, logistic regression, and a Bayesian approach were utilized to analyze data.

Results

MI significant risk factors obtained for females were systolic blood pressure (p = 0.002), diastolic blood pressure (p = 0.004), pulse (p = 0.015), and smoking (p = 0.002). For males, these were glucose (p = 0.022), age (p = 0.050), body fat (p = 0.034), and smoking (p = 0.017). The mean risk parameter followed a normal distribution, while the precision parameter depicted skew for both sexes.

Conclusions

Gender-specific differences in MI risk factors exist, and incorporating such variables can guide relevant policymaking to reduce MI incidence in rural West Texans.

Risk factors of deaths related to cardiovascular diseases in World Health Organization (WHO) member countries

This study aims to identify the risk factors affecting deaths related to cardiovascular diseases. The research population comprised of 194 World Health Organization (WHO) member countries, but the data analysis was conducted with the data from 152 countries as 42 of them do not have any data on study variables. Multivariable regression analysis was utilised for this study to analyse the effect of factors regarding metabolism, lifestyle, economic, socio-demographic and health system on the cardiovascular diseases related to deaths. As a result of regression analysis, the number of deaths related to cardiovascular diseases increases with the increase in blood pressure (p < .001), blood glucose (p = .032), obesity rate (p < .001), salt consumption (p < .001), GINI index (p = .002) and dependent age ratio (p < .001); the frequency of cardiovascular disease-related deaths is higher in the countries within low (p < .001) and high (p < .001) middle-income levels; yet, the number of deaths based on cardiovascular diseases diminishes with the increase in the number of doctors (p = .005) and health expenditures per capita (p = .044). The research findings are considered to guide the countries in the determination of their steps towards the prevention of deaths related to cardiovascular diseases.

Latent profile analysis of stress and resilience among rural women: A cross-sectional study

Stress is a cardiovascular disease risk factor, and resilience may serve as a buffer for stress. Little is known about stress and resilience among rural women.

OBJECTIVE

The purposes of this study were to identify profiles of rural women based upon indicators of psychosocial and environmental stress and to examine the relationships between the identified profiles and resilience.

DESIGN AND SAMPLE

A cross-sectional, descriptive design was used to explore stress, social support, and resilience among a representative sample of women (n = 354).

MEASURES

Data were collected to measure perceived stress, social support, chronic stress, and resilience.

RESULTS

A latent profile analysis identified three profiles (59.9% Low Stress, 25.4% Moderate Stress, and 14.7% High Stress). Women in the High Stress profile were less likely to afford necessities and have attended college and more likely to be employed. Women in the Low Stress profile had the highest scores for all five resilience subscales.

CONCLUSION

The current study demonstrates the social and environmental impact of stress and how this stress can manifest differently for different women. Underserved women may benefit from strategies that reduce stress and improve social support and resilience. Future research is needed for advancing health equity in rural populations.

Prediction of coronary heart disease in rural Chinese adults: a cross sectional study

Background

Coronary heart disease (CHD) is a common cardiovascular disease with high morbidity and mortality in China. The CHD risk prediction model has a great value in early prevention and diagnosis.

Methods

In this study, CHD risk prediction models among rural residents in Xinxiang County were constructed using Random Forest (RF), Support Vector Machine (SVM), and the least absolute shrinkage and selection operator (LASSO) regression algorithms with identified 16 influencing factors.

Results

Results demonstrated that the CHD model using the RF classifier performed best both on the training set and test set, with the highest area under the curve (AUC = 1 and 0.9711), accuracy (one and 0.9389), sensitivity (one and 0.8725), specificity (one and 0.9771), precision (one and 0.9563), F1-score (one and 0.9125), and Matthews correlation coefficient (MCC = one and 0.8678), followed by the SVM (AUC = 0.9860 and 0.9589) and the LASSO classifier (AUC = 0.9733 and 0.9587). Besides, the RF model also had an increase in the net reclassification index (NRI) and integrated discrimination improvement (IDI) values, and achieved a greater net benefit in the decision curve analysis (DCA) compared with the SVM and LASSO models.

Conclusion

The CHD risk prediction model constructed by the RF algorithm in this study is conducive to the early diagnosis of CHD in rural residents of Xinxiang County, Henan Province.

Trends in cardiovascular mortality of cancer patients in the US over two decades 1999-2019

BACKGROUND

Cancer is the second most common cause of death globally after cardiovascular disease, and cancer patients are at an increased risk of CV death. This recognition has led to publication of cardio-oncological guidelines and to the widespread adoption of dedicated cardio-oncology services in many institutes. However, it is unclear whether there has been a change in the incidence of CV death in cancer patients.

METHODS AND RESULTS

Using Centers for Disease Control and Prevention Wide-Ranging, Online Data for Epidemiologic Research (CDC WONDER) Multiple Cause of Death dataset, we determined national trends in age-standardised mortality rates attributed to cardiovascular diseases in patients with and without cancer, from 1999 to 2019, stratified by cancer type, age, gender, race, and place of residence (state and urbanisation status). Among more than 17.8 million cardiovascular deaths in the United States, 13.6% were patients with a concomitant cancer diagnosis. During the study period, among patients with cancer, the age-adjusted mortality rate dropped by 52% (vs 38% in patients with no cancer). In cancer patients, age-adjusted mortality rate dropped more significantly among patients with gastrointestinal, breast, and prostate malignancy than among patients with haematological malignancy (59%-63% vs. 41%). Similar reduction was observed in both genders (53%-54%), but more prominent reduction was observed in older patients and in those living in metro areas.

CONCLUSIONS

Our findings emphasise the role of multidisciplinary management of cancer patients. Widespread adoption of cardio oncology services have the potential to impact the inherent risk of increased CV mortality in both cancer patients and survivors.

State of birth and cardiovascular disease mortality: Multilevel analyses of the National Longitudinal Mortality Study

Cardiovascular disease (CVD) is the leading contributor to mortality in the United States. Previous studies have linked early life individual and family factors, along with various contemporaneous place-based exposures to differential individual CVD mortality risk. However, the impacts of early life place exposures and how they compare to the effects of an individual's current place of residence on CVD mortality risk is not well understood. Using the National Longitudinal Mortality Study, this research examined the effects of both state of birth and state of residence on individual's risk of CVD mortality. We estimated individual mortality risk by estimating multi-level logistic regression models. We found that during a follow-up period of 11 years, 18,292 (4.2%) out of 433,345 participants died from CVD. The impact of state of birth on subsequent CVD mortality risk are greater than state of residence, even after adjusting for socio-demographic factors. Individuals who were born in certain states such as Tennessee, Kentucky, and Pennsylvania on average had higher CVD mortality risk. Conversely, those born in California, North Dakota, and Montana were found to have lower risk, no matter where they presently live. This study implies that early life state-level environments may be more prominent to individual's CVD mortality risk, compared to the state in which one lives. Future research should address specific mechanisms through which state of birth may affect people's risk of CVD mortality.

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State of birth is a stronger predictor of CVD mortality than state of residence.

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Models including state of birth random effects better predict individual CVD mortality risk.

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Those born in Tennessee and Kentucky had the highest average CVD mortality risk while those born in California and North Dakota had the lowest risk.

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Tennessee, Kentucky, Virginia, West Virginia, and Pennsylvania are a cluster of high state of birth effects.