Traveling towards disease: transportation barriers to health care access

Improvement in Clinical Outcomes and Access to Care With Pharmacist-Led Chronic Care Management Services at a Rural Family Medicine Clinic

Background: Chronic care management (CCM) can significantly impact the management of chronic diseases in rural patient populations. To date, few practice models have addressed its impact on clinical outcomes and access to care in rural practice settings. Objective: Implement a sustainable pharmacist-led CCM practice model while tracking clinical outcomes and healthcare access at a rural, medically underserved family medicine clinic. Methods: This study retrospectively examined data from the clinic's CCM program from October 2020 through May 2021 and included total clinical encounters at three- and 6-months intervals, as well as changes in clinical outcomes like A1c and systolic blood pressure (SBP) at three- and 6-months intervals. Results: Over an 8-month period, 46 patients were enrolled in pharmacist-led CCM services. Those with a CCM encounter or office visit within 3 months of enrollment showed a mean A1c reduction of 1.07% after 3 months (95% CI -1.70 to -.44, P = .0016), while those with an encounter or office visit within 6 months of enrollment displayed a mean A1c reduction of 1.64% after 6 months (95% CI -2.35 to -.92, P < .001). There was a 73.8% increase in total clinical encounters in the 6 months after CCM enrollment compared to the 6 months preceding it, signifying increased access to care. Conclusion: Patients with CCM encounters or office visits within the first 3-6 months experienced statistically significant reductions in A1c. Moreover, total clinical encounters markedly increased in the 6 months after enrollment, allowing for more frequent engagement between ambulatory pharmacists and traditionally challenging rural patients.

Eliminating health care inequities through strengthening access to care

OBJECTIVE

To provide a research agenda and recommendations to address inequities in access to health care.

DATA SOURCES AND STUDY SETTING

The Agency for Healthcare Research and Quality (AHRQ) organized a Health Equity Summit in July 2022 to evaluate what equity in access to health care means in the context of AHRQ's mission and health care delivery implementation portfolio. The findings are a result of this Summit, and subsequent convenings of experts on access and equity from academia, industry, and the government.

STUDY DESIGN

Multi-stakeholder input from AHRQ's Health Equity Summit, author consensus on a framework and key knowledge gaps, and summary of evidence from the supporting literature in the context of the framework ensure comprehensive recommendations.

DATA COLLECTION/EXTRACTION METHODS

Through a stakeholder-engaged process, themes were developed to conceptualize access with a lens toward health equity. A working group researched the most appropriate framework for access to care to classify limitations identified during the Summit and develop recommendations supported by research in the context of the framework. This strategy was intentional, as the literature on inequities in access to care may itself be biased.

PRINCIPAL FINDINGS

The Levesque et al. framework, which incorporates multiple dimensions of access (approachability, acceptability, availability, accommodation, affordability, and appropriateness), is the backdrop for framing research priorities for AHRQ. However, addressing inequities in access cannot be done without considering the roles of racism and intersectionality. Recommendations include funding research that not only measures racism within health care but also tests burgeoning anti-racist practices (e.g., co-production, provider training, holistic review, discrimination reporting, etc.), acting as a convener and thought leader in synthesizing best practices to mitigate racism, and forging the path forward for research on equity and access.

CONCLUSIONS

AHRQ is well-positioned to develop an action plan, strategically fund it, and convene stakeholders across the health care spectrum to employ these recommendations.

Understanding the Geographic Distribution of Diverticulitis Hospitalizations in Washington State

BACKGROUND

The incidence of diverticulitis in the United States is increasing, and hospitalization remains a surrogate for disease severity. State-level characterization of diverticulitis hospitalization is necessary to better understand the distribution of disease burden and target interventions.

METHODS

A retrospective cohort of diverticulitis hospitalizations from 2008 through 2019 was created using Washington State's Comprehensive Hospital Abstract Reporting System. Hospitalizations were stratified by acuity, presence of complicated diverticulitis, and surgical intervention using ICD diagnosis and procedure codes. Patterns of regionalization were characterized by hospital case burden and distance travelled by patients.

RESULTS

During the study period, 56,508 diverticulitis hospitalizations occurred across 100 hospitals. Most hospitalizations were emergent (77.2%). Of these, 17.5% were for complicated diverticulitis, and 6.6% required surgery. No single hospital received more than 5% (n = 235) of average annual hospitalizations. Surgeons operated in 26.5% of total hospitalizations (13.9% of emergent hospitalizations, and 69.2% of elective hospitalizations). Operations for complicated disease made up 40% of emergent surgery and 28.7% of elective surgery. Most patients traveled fewer than 20 miles for hospitalization, regardless of acuity (84% for emergent hospitalization and 77.5% for elective hospitalization).

DISCUSSION

Hospitalizations for diverticulitis are primarily emergent, nonoperative, and broadly distributed across Washington State. Hospitalization and surgery occur close to patients' homes, regardless of acuity. This decentralization needs to be considered if improvement initiatives and research in diverticulitis are to have meaningful, population-level impact.

Patient Perspectives on Social Risk Screening and Documentation in a Dermatology Clinic

Importance

Providing person-centered dermatologic care includes consideration of social risk factors, such as housing instability and unreliable transportation, that may affect clinical management. Patients' perspectives on social risk screening and documentation in dermatology clinics have not yet been evaluated.

Objective

To understand patients' perspectives on social risk screening and documentation in a dermatology clinic.

Design, Setting, and Participants

This mixed-methods study used a survey and semistructured interviews and was conducted in a general dermatology clinic at a large urban public hospital. Patients at the clinic were eligible to complete the survey if they were 18 years or older; able to speak and read English, Spanish, or Cantonese; and comfortable using a computer tablet. Survey participants who preferred to use English were eligible for interviews. The survey included social risk screening questions, measures of acceptability, and questions on social risk factors associated with patient acceptability. Semistructured interviews were conducted to explore attitudes and beliefs about social risk screening and documentation. Survey and interview findings were integrated during data analysis through development of themes and joint display. Data were analyzed from December 2021 to April 2023.

Main Outcomes and Measures

There were 2 outcome measures of acceptability: appropriateness of screening in a dermatology clinic and comfort with documentation of social risk in the electronic health record (EHR).

Results

A total of 135 participants (including 73 males [54.1%]) answered both measures of acceptability in the survey. Of these participants, 116 (85.9%) reported that social risk screening in their dermatology clinic was very or somewhat appropriate and 85 (63.0%) reported being completely or somewhat comfortable with having their social risks documented in the EHR. Themes that were developed from surveys and interviews were the (1) role of interpersonal factors in willingness to disclose social risks, (2) implications of institutional trust for willingness to disclose and comfort with documentation, and (3) relevance of screening in a dermatology clinic.

Conclusions and Relevance

Results of this study showed that most participants found social risk screening to be appropriate in a dermatology clinic, although a smaller proportion of participants were comfortable with EHR documentation of their social risks. Optimizing patients' trust in their physicians and the medical system, while addressing privacy and discrimination concerns, may help facilitate disclosure of social risks.

Restructuring lung cancer care to accelerate diagnosis and treatment in patients vulnerable to healthcare disparities using an innovative care model

The diagnosis and treatment of lung cancer is challenged by complex diagnostic pathways and fragmented care that can lead to disparities for vulnerable patients. Our model involved a multi-institutional, multidisciplinary conference to address the complexity of lung cancer care in vulnerable patient populations. The conference was conducted using a process adapted from the problem-solving method entitled FastTrack, pioneered by General Electric. Conference attendees established critical social determinants of health specific to lung cancer and designed a practical care model to accelerate diagnosis and treatment in this population. The resulting care delivery model, the Lung Cancer Strategist Program (LCSP), was led by a lung cancer trained advanced practice provider (APP) to expedite diagnosis, surgical and oncologic consultation, and treatment of a suspicious lung nodule. We compared the timeliness of care, care efficiency, and oncologic outcomes in 100 LCSP patients and 100 routine referral patients at the same thoracic surgery clinic. Patient triage through our integrated care model transitioned initial referral evaluation to a lung cancer trained APP to coordinate multidisciplinary patient-centered care that was highly individualized and significantly reduced the time to diagnosis and treatment among vulnerable patients at high-risk for treatment delay due to healthcare disparities.•To develop the Lung Cancer Strategist Program care model, we used a three-step (Design, Meeting, and Culmination), team-based, problem-solving process entitled FastTrack.•An advantage of FastTrack is its ability to overcome barriers embedded within hierarchal and institutional social systems, empowering those closest to the relevant issue to propose and enact meaningful change.•Under this framework, we engaged a diverse field of experts to assess systemic barriers in lung cancer care and design an innovative care pathway to improve the timeliness and efficiency of lung cancer care in patients at risk for healthcare disparities.

National Trends in Racial and Ethnic Disparities in Use of Recommended Therapies in Adults with Atherosclerotic Cardiovascular Disease, 1999-2020

Importance

Despite efforts to improve the quality of care for patients with atherosclerotic cardiovascular disease (ASCVD), it is unclear whether the US has made progress in reducing racial and ethnic differences in utilization of guideline-recommended therapies for secondary prevention.

Objective

To evaluate 21-year trends in racial and ethnic differences in utilization of guideline-recommended pharmacological medications and lifestyle modifications among US adults with ASCVD.

Design, Setting, and Participants

This cross-sectional study includes data from the National Health and Nutrition Examination Survey between 1999 and 2020. Eligible participants were adults aged 18 years or older with a history of ASCVD. Data were analyzed between March 2022 and May 2023.

Exposure

Self-reported race and ethnicity.

Main Outcome and Measures

Rates and racial and ethnic differences in the use of guideline-recommended pharmacological medications and lifestyle modifications.

Results

The study included 5218 adults with a history of ASCVD (mean [SD] age, 65.5 [13.2] years, 2148 women [weighted average, 44.2%]), among whom 1170 (11.6%) were Black, 930 (7.7%) were Hispanic or Latino, and 3118 (80.7%) were White in the weighted sample. Between 1999 and 2020, there was a significant increase in total cholesterol control and statin use in all racial and ethnic subgroups, and in angiotensin-converting enzyme inhibitor (ACEI) and angiotensin receptor blocker (ARB) utilization in non-Hispanic White individuals and Hispanic and Latino individuals (Hispanic and Latino individuals: 17.12 percentage points; 95% CI, 0.37-37.88 percentage points; P = .046; non-Hispanic White individuals: 12.14 percentage points; 95% CI, 6.08-18.20 percentage points; P < .001), as well as smoking cessation within the Hispanic and Latino population (-27.13 percentage points; 95% CI, -43.14 to -11.12 percentage points; P = .002). During the same period, the difference in smoking cessation between Hispanic and Latino individuals and White individuals was reduced (-24.85 percentage points; 95% CI, -38.19 to -11.51 percentage points; P < .001), but racial and ethnic differences for other metrics did not change significantly. Notably, substantial gaps persisted between current care and optimal care throughout the 2 decades of data analyzed. In the period of 2017 to 2020, optimal regimens were observed in 47.4% (95% CI, 39.3%-55.4%), 48.7% (95% CI, 36.7%-60.6%), and 53.0% (95% CI, 45.6%-60.4%) of Black, Hispanic and Latino, and White individuals, respectively.

Conclusions and Relevance

In this cross-sectional study of US adults with ASCVD, significant disparities persisted between current care and optimal care, surpassing any differences observed among demographic groups. These findings highlight the critical need for sustained efforts to bridge these gaps and achieve better outcomes for all patients, regardless of their racial and ethnic backgrounds.

Inequities in spatial access to health services in Ghanaian cities

Consideration of health equity is fundamental to enhancing the health of those who are economically/socially disadvantaged. A vital characteristic of health equity and therefore health disparity is the level of spatial access to health services and its distribution among populations. Adequate knowledge of health disparity is critical to enhancing the optimal allocation of resources, identification of underserved populations and improving the efficiency and performance of the health system. The provision of such insight for sub-Saharan African (SSA) cities is a challenge and is severely limited in the literature. Accordingly, this study examined the disparities in potential spatial access to health services for four selected urban areas in Ghana based on: (1) the number of physicians per population; (2) access score based on a weighted sum of access components; (3) travel time to health services and (4) the combined evaluation of linkages between travel distance, settlement area, population and economic status. The overall spatial access to health services is low across all selected cities varying between 3.02 and 1.78 physicians per 10 000 persons, whereas the access score is between 1.70 and 2.54. The current number of physicians needs to be increased by about five times to satisfy the World Health Organization's standard. The low spatial access is not equitable across and within the selected cities, where the economically disadvantaged populations were found to endure longer travel distances to access health services. Inequities were found to be embedded within the selected cities where economically poor populations are also disadvantaged in their physical access to healthcare. The health facilities in all cities have reasonable travel distances separating them but are inadequately resourced with physicians. Thus, increasing the physician numbers and related resources at spatially targeted existing facilities would considerably enhance spatial access to health services.

Explaining COVID-19 related mortality disparities in American Indians and Alaska Natives

American Indian and Alaska Native (AI/AN) individuals are more likely to die with COVID-19 than other groups, but there is limited empirical evidence to explain the cause of this inequity. The objective of this study was to determine whether medical comorbidities, area socioeconomic deprivation, or access to treatment can explain the greater COVID-19 related mortality among AI/AN individuals. The design was a retrospective cohort study of harmonized electronic health record data of all inpatients with COVID-19 from 21 United States health systems from February 2020 through January 2022. The mortality of AI/AN inpatients was compared to all Non-Hispanic White (NHW) inpatients and to a matched subsample of NHW inpatients. AI/AN inpatients were more likely to die during their hospitalization (13.2% versus 7.1%; odds ratio [OR] = 1.98, 95% confidence interval [CI] = 1.48, 2.65) than their matched NHW counterparts. After adjusting for comorbidities, area social deprivation, and access to treatment, the association between ethnicity and mortality was substantially reduced (OR 1.59, 95% CI 1.15, 2.22). The significant residual relation between AI/AN versus NHW status and mortality indicate that there are other important unmeasured factors that contribute to this inequity. This will be an important direction for future research.

Evaluating Geographic Access to Interdisciplinary Laryngology and Speech-Language Pathology Clinic Models in the Southeast Region of the United States

OBJECTIVE

An interdisciplinary model of care for the evaluation and treatment of voice, swallowing, and upper airway disorders with laryngologists and specialized speech-language pathologists is known to increase revenue, attendance to visits, patient adherence, and most importantly, improve patient outcomes. Individuals who live outside of areas with high population density often have reduced geographic access to this specialized care. The primary aim of this study is to identify the percentage of the population that has an "extended drive time" to access an interdisciplinary clinic in the Southeast region of the United States.

STUDY DESIGN

NA.

METHODS

Interdisciplinary laryngology and speech-language pathology clinics were identified via publicly accessible information including an internet search and state department of public health databases. Included clinics had at least one full-time fellowship-trained laryngologist and at least one full-time speech-language pathologist on staff. Descriptive statistics and visual representation of the results were achieved with the use of Smappen, a location intelligence online platform, to identify the percent of the population with a drive time greater than 1 hour.

RESULTS

47.24% of the Southeast population of the United States must drive over 1 hour to access an interdisciplinary clinic. Visual representations of these data are included and generated by Smappen.

CONCLUSIONS

While close geographic proximity does not ensure access to care, it can increase the likelihood that healthcare services will be used. This study identified the population in the Southeast region of the United States with extended drive time to interdisciplinary voice and swallowing centers due to their geographic distance from these centers. The results from this study support the need for increased geographic access to specialty care clinics, specifically voice, swallowing, and upper airway care, and provide insight into potential sites for interdisciplinary centers based on population density in areas that are underserved.

Medical Mistrust and Healthcare Seeking Among Women of Color with Chronic Vulvovaginal Pain

BACKGROUND

Chronic vulvovaginal pain (CVVP), an umbrella term encompassing several gynecological pain conditions (e.g., vulvodynia, vaginismus), has a prevalence rate of 7-8% in the USA and is characterized by considerable diagnostic delay in patient experience research. Furthermore, current research in this area focuses largely on the experiences of white women, while the experiences of women of color are underrepresented.

METHOD

In the present cross-sectional study (N = 488), we surveyed women of color (i.e., Asian, Black, and/or Hispanic/Latinx women) with CVVP about their perceptions and experiences with medical mistrust, healthcare seeking, and healthcare avoidance.

RESULTS

Using the suspicion subscale of the Group-Based Medical Mistrust Scale, we found significant racial and ethnic differences in medical suspicion scores, with non-Black Hispanic/Latinx women reporting the highest suspicion scores and non-Hispanic/Latinx Black women reporting the lowest scores. Racial differences disappeared, however, after examining medical mistrust and perceived discrimination as predictors for various healthcare outcomes related to the journey to diagnosis and healthcare avoidance behaviors. We found that while suspicion was a reliable predictor of increased diagnostic delay and healthcare avoidance in many contexts, the results for perceived discrimination were more varied, suggesting considerable nuance in the relationship between medical mistrust, perceived discrimination, and healthcare seeking outcomes.

CONCLUSION

These findings point to shared experiences of medical mistrust via suspicion that broadly characterize women of color's experiences in seeking CVVP-related care-future research is needed to examine nuances within racial and ethnic groups regarding their healthcare seeking experiences in the CVVP context.

A Driver in Health Outcomes: Developing Discrete Categories of Transportation Insecurity

Research suggests that transportation is an important social determinant of health, because the ability to get around is consequential for accessing health care and nutritious food and for making social connections. We used an inductive mixed-methods approach and a quantitative k-means clustering approach to identify 5 categories of transportation insecurity using the validated 16-item Transportation Security Index. The resulting 5-category measure distinguished among respondents with qualitatively different experiences of transportation insecurity. Analyzing data from 2018 that were representative of the US adult population aged 25 years or older, we demonstrated a nonparametric association between transportation insecurity and 2 different health measures (self-rated health and depressive symptoms). There was a threshold relationship between self-rated health and any level of transportation insecurity. High transportation insecurity had a very strong relationship with depressive symptoms. The categorical Transportation Security Index will be useful for clinicians who wish to screen for transportation-related barriers to health care. It will also facilitate research investigating the influence of transportation insecurity on health outcomes and provide the basis for interventions designed to address health disparities.

Revealed versus potential spatial accessibility of healthcare and changing patterns during the COVID-19 pandemic

BACKGROUND

Timely access to healthcare is essential but measuring access is challenging. Prior research focused on analyzing potential travel times to healthcare under optimal mobility scenarios that do not incorporate direct observations of human mobility, potentially underestimating the barriers to receiving care for many populations.

METHODS

We introduce an approach for measuring accessibility by utilizing travel times to healthcare facilities from aggregated and anonymized smartphone Location History data. We measure these revealed travel times to healthcare facilities in over 100 countries and juxtapose our findings with potential (optimal) travel times estimated using Google Maps directions. We then quantify changes in revealed accessibility associated with the COVID-19 pandemic.

RESULTS

We find that revealed travel time differs substantially from potential travel time; in all but 4 countries this difference exceeds 30 minutes, and in 49 countries it exceeds 60 minutes. Substantial variation in revealed healthcare accessibility is observed and correlates with life expectancy (⍴=-0.70) and infant mortality (⍴=0.59), with this association remaining significant after adjusting for potential accessibility and wealth. The COVID-19 pandemic altered the patterns of healthcare access, especially for populations dependent on public transportation.

CONCLUSIONS

Our metrics based on empirical data indicate that revealed travel times exceed potential travel times in many regions. During COVID-19, inequitable accessibility was exacerbated. In conjunction with other relevant data, these findings provide a resource to help public health policymakers identify underserved populations and promote health equity by formulating policies and directing resources towards areas and populations most in need.

Disparities in Perinatal and Emergency Care Receipt Among Women With Perinatal Opioid Use Disorder in Medicaid, 2007 to 2012

OBJECTIVES

This study aimed to better understand receipt of perinatal and emergency care among women with perinatal opioid use disorder (OUD) and explore variation by race/ethnicity.

METHODS

We used 2007-2012 Medicaid Analytic eXtract (MAX) data from all 50 states and the District of Columbia to examine 6,823,471 deliveries for women 18 to 44 years old. Logistic regressions modeled the association between (1) OUD status and receipt of perinatal and emergency care, and (2) receipt of perinatal and emergency care and race/ethnicity, conditional on OUD diagnosis and controlling for patient and county characteristics. We used robust SEs, clustered at the individual level, and included state and year fixed effects.

RESULTS

Women with perinatal OUD were less likely to receive adequate prenatal care (adjusted odds ratio [aOR], 0.45; 95% confidence interval [CI], 0.44-0.46) and attend the postpartum visit (aOR, 0.46; 95% CI, 0.45-0.47) and more likely to seek emergency care (aOR, 1.48; 95% CI, 1.45-1.51) than women without perinatal OUD. Among women with perinatal OUD, Black, Hispanic, and American Indian and Alaskan Native (AI/AN) women were less likely to receive adequate prenatal care (aOR, 0.68 [95% CI, 0.64-0.72]; aOR, 0.86 [95% CI, 0.80-0.92]; aOR, 0.71 [95% CI, 0.64-0.79]) and attend the postpartum visit (aOR, 0.85 [95% CI, 0.80-0.91]; aOR, 0.86 [95% CI, 0.80-0.93]; aOR, 0.83 [95% CI, 0.73-0.94]) relative to non-Hispanic White women. Black and AI/AN women were also more likely to receive emergency care (aOR, 1.13 [95% CI, 1.05-1.20]; aOR, 1.12 [95% CI, 1.00-1.26]).

CONCLUSIONS

Our findings suggest that women with perinatal OUD, in particular Black, Hispanic, and AI/AN women, may be missing opportunities for preventive care and comprehensive management of their physical and behavioral health during pregnancy.

Associations Between Social Risks and Primary Care Utilization Among Medically Complex Veterans

BACKGROUND

Social risks contribute to poor health outcomes, especially for patients with complex medical needs. These same risks may impact access to primary care services.

OBJECTIVE

To study associations between social risks and primary care utilization among patients with medical complexity.

DESIGN

Prospective cohort study of respondents to a 2018 mailed survey, followed up to 2 years after survey completion.

PARTICIPANTS

Nationally representative sample of 10,000 primary care patients in the Veterans Affairs (VA) health care system, with high (≥ 75th percentile) 1-year risk of hospitalization or death.

MAIN MEASURES

Survey-based exposures were low social support, no family member/friend involved in health care, unemployment, transportation problem, food insecurity, medication insecurity, financial strain, low medical literacy, and less than high school graduate. Electronic health record-based outcomes were number of primary care provider (PCP) encounters, number of primary care team encounters (PCP, nurse, clinical pharmacist, and social worker), and having ≥ 1 social work encounter.

KEY RESULTS

Among 4680 respondents, mean age was 70.3, 93.7% were male, 71.8% White non-Hispanic, and 15.8% Black non-Hispanic. Unemployment was associated with fewer PCP and primary care team encounters (incident rate ratio 0.77, 95% CI 0.65-0.91; p = 0.002 and 0.75, 0.59-0.95; p = 0.02, respectively), and low medical literacy was associated with more primary care team encounters (1.17, 1.05-1.32; p = 0.006). Among those with one or more social risks, 18.4% had ≥ 1 social work encounter. Low medical literacy (OR 1.95, 95% CI 1.45-2.61; p < 0.001), transportation problem (1.42, 1.10-1.83; p = 0.007), and low social support (1.31, 1.06-1.63; p = 0.01) were associated with higher odds of  ≥ 1 social work encounter.

CONCLUSIONS

We found few differences in PCP and primary care team utilization among medically complex VA patients by social risk. However, social work use was low, despite its central role in addressing social risks. More work is needed to understand barriers to social work utilization.

The relationship between multiple deprivation and severity of glaucoma at diagnosis

BACKGROUND

Socioeconomic deprivation is associated with higher odds of chronic diseases, with many individuals living with more than one illness. This study aimed to examine the relationship between deprivation and severity of glaucoma at diagnosis, an important risk factor for glaucoma blindness.

METHODS

A retrospective study of 472 consecutive patients referred by community optometrists to the glaucoma clinic at a university hospital was performed. Glaucoma severity was determined by standard automated perimetry mean deviation (MD) in the worse eye. The Scottish Index of Multiple Deprivation (SIMD) was determined for each patient as a measure of deprivation based on postcode. Regression analyses were performed to determine the relationship between visual field MD and SIMD.

RESULTS

There was a significant relationship between higher levels of deprivation (lower SIMD) and worse severity of glaucoma at diagnosis. 32 of 472 patients (6.8%) had a MD of ≤-6 dB and 11 (2.3%) ≤-12 dB in their better eye. MD in the worse eye was 0.04 dB (95% CI 0.014 to 0.062 dB, P = 0.002) worse for each 100-point decrease in SIMD, with lower SIMD indicating a higher level of deprivation. A higher proportion of patients living in most deprived areas had a MD ≤ -6 dB or ≤ -12 dB at presentation compared to those living in the least deprived areas (14.3% versus 6.8% for ≤ -6 dB and 4.8% versus 0.8% for ≤ -12 dB).

CONCLUSIONS

Higher levels of deprivation were associated with worse glaucoma severity at presentation. The reasons for poorer outcomes in those from more deprived communities need further study so that inequalities can be addressed and the frequency of patients presenting with advanced glaucoma reduced.

Telehealth and Health Equity in Older Adults With Heart Failure: A Scientific Statement From the American Heart Association

Enhancing access to care using telehealth is a priority for improving outcomes among older adults with heart failure, increasing quality of care, and decreasing costs. Telehealth has the potential to increase access to care for patients who live in underresourced geographic regions, have physical disabilities or poor access to transportation, and may not otherwise have access to cardiologists with expertise in heart failure. During the COVID-19 pandemic, access to telehealth expanded, and yet barriers to access, including broadband inequality, low digital literacy, and structural barriers, prevented many of the disadvantaged patients from getting equitable access. Using a health equity lens, this scientific statement reviews the literature on telehealth for older adults with heart failure; provides an overview of structural, organizational, and personal barriers to telehealth; and presents novel interventions that pair telemedicine with in-person services to mitigate existing barriers and structural inequities.

Examining the Connection Between Health Outcomes, State Political Ideology, and Food Access in the United States

OBJECTIVES

To estimate the impact of county-level income, access to food, availability of health resources, socioeconomic factors, and state political ideology on population obesity and mental health in US counties.

DESIGN

We compiled a county-level data set from the US Census, County Health Rankings, USDA Food Environment Atlas, the American Community Survey, and the State Ideology Database. We specify 2 multivariable regression models for county-level obesity rate and per capita poor mental health days and control for rurality, food access, income, availability of health care resources, state political ideology, and socioeconomic characteristics.

RESULTS

We find that higher food access reduces obesity in counties; an increase in per capita full-service restaurants by 1 unit is associated with reduction in obesity rate by 1.24 points and an increase in per capita grocery stores reduces poor mental health days by 0.14. We also find that counties in liberal-leaning states tend to have lower obesity rates. Access to primary care providers (increase in primary care physicians by 1 is associated with decline in obesity rate by 1.18 points and poor mental health days by 0.11 days), and recreational facilities (increase in recreational facilities per 1000 by 1 is associated with reduction in obesity rate by 3.16 points and poor mental health days by 0.47 days) reduces obesity rates and poor mental health days. Median income is associated with decrease in obesity rate and poor mental health days. Increase in median household income by 1% is associated with reduction in obesity rate 4.75% and reduction in poor mental health days by 1.39 days.

CONCLUSIONS

We find that access to food and health care at county level and state ideology through policy making affects health outcomes. Our analysis indicates that counties can improve access to food and health care by investing in these services thereby improving county-level health outcomes and save dollars in the process.

Social Determinants of Health in Pediatric Ophthalmology Patients: Availability of Data in the Electronic Health Record and Association With Clinic Attendance

Purpose

To characterize the availability of social determinants of health data in the electronic health record of pediatric ophthalmology patients and to examine the association of social determinants of health with attendance at scheduled operating room and clinic visits.

Methods

This was a retrospective cohort study of pediatric ophthalmology patients seen at The Hospital for Sick Children between June 1, 2018, and May 23, 2022. Data were collected on demographics, diagnosis, and management-plan. The χ2 tests and multivariable regression were used to examine associations between social determinants of health and attendance at scheduled operating room and clinic visits.

Results

The cohort consisted of 26,102 study subjects with 31,288 unique eye-related diagnoses representing 57 unique ICD-10 codes. Availability of data in the electronic health record ranged from 100% for sex, age and postal code to 0.1% for ethnic group. Female sex (P = 0.004) and urbanicity (P = 0.05) were associated with higher operating room visit cancellations. Female sex (P = 0.002), age group 0-13 (P ≤ 0.001), low-medium neighborhood income quintile (P ≤ 0.001), residence of Northern Ontario (P ≤ 0.001), and urbanicity (P ≤ 0.001) were associated with higher clinic visit cancellations and no-shows.

Conclusions

At a major tertiary-care hospital in Canada, key social determinant data such as ethnicity are not consistently available in the electronic health record of pediatric ophthalmology patients. Female sex, younger age, and living in a rural area or neighborhood with low-medium income quintile may be predictors of missed visits and require further study.

Translational Relevance

This study highlights a need for improved documentation of social determinants of health variables in electronic health records.

Under-spending, over-spending or substitution among services? Spatial patterns of unexplained shares of health care expenditures

Using individual-level administrative data, we investigate the spatial patterns of unexplained shares of health care expenditures (HCE) at the municipality level. The focus is on the elderly population in the Italian Region Friuli-Venezia Giulia observed over the period 2017-2019. The empirical analysis comprises two steps. First, random-effects two-part models are estimated to analyze the effect of age, morbidity, and death on the probability and amount of positive individual total HCE and its components. Second, the unexplained shares of HCE at the municipality level are examined to identify areas with under- or over-spending and substitution among services. Results confirm the existing findings on the determinants of HCE and reveal geographic patterns in the unexplained shares of expenditures. We identify clusters of municipalities with observed HCE higher than predicted for each type of service and clusters with substitution between home care and all other services. These findings are associated with the degree of urbanization of these areas and, consequently, with the ease of access to health care. This is crucial from a policy perspective, as it indicates specific policy targets for public health intervention.

Socioeconomic Determinants of Remote Patient Monitoring Implementation Among Rural and Urban Hospitals

Introduction: Remote patient monitoring (RPM) is a form of telehealth that improves quality of care for chronic disease treatment and reduces hospital readmission rates. Geographical proximity to health care is important for individuals of low socioeconomic status (SES) who face additional financial and transportation barriers. The goal of this study was to assess the association between social determinants of health and adoption of RPM. Methods: This cross-sectional study analyzed data from hospitals that responded to the American Hospital Association's Annual Survey (2018) and spatially linked census tract-level environmental and social determinants of health obtained from the Social Vulnerability Index (2018). Results: A total of 4,206 hospitals (1,681 rural and 2,525 urban hospitals) met study criteria. Rural hospitals near households in the lower middle quartile SES were associated with a 33.5% lower likelihood of having adopted RPM for chronic care management compared with rural hospitals near households in the highest quartile SES (adjusted odds ratios [aOR] = 0.665; 95% confidence interval [CI]: 0.453-0.977). Urban hospitals near households in the lowest quartile SES were associated with a 41.9% lower likelihood of having adopted RPM for chronic care management compared with urban hospitals near households in the highest quartile SES (aOR = 0.581; 95% CI: 0.435-0.775). Similar trends in accessibility were found with RPM for postdischarge services among urban hospitals. Conclusion: Our findings highlight the importance of hospital responsibility and state and federal policy approaches toward ensuring equitable access to RPM services for patients characterized by lower SES.

Are Depression and Anxiety Underdiagnosed in Socially Vulnerable Patients With Inflammatory Bowel Disease?

INTRODUCTION

Depression and anxiety are highly prevalent among individuals with inflammatory bowel disease (IBD); however, little is understood about how social determinants of health (SDOH) may impact mental health diagnoses in this population. The social vulnerability index (SVI) is a publicly available tool that can be used to study SDOH in IBD patients.

METHODS

Home addresses from a retrospective cohort of IBD patients at a single center were used to geocode patients to their individual census tract and corresponding SVI. We used multivariable logistic regression to examine the relationship between SVI and comorbid mental health diagnoses in patients with IBD. Secondarily, data from standardized health questionnaires were then used to determine if patients were adequately screened for depression and anxiety.

RESULTS

In all, 9644 patients were included; 18% had a diagnosis of depression, 21% anxiety, and 32% had a composite of "any mental health diagnosis." Depression (odds ratio [OR], 1.27; 95% confidence interval [CI], 1.02-1.56) but not anxiety (OR, 0.87; 95% CI, 0.71-1.06) nor "any mental health diagnosis" (OR, 1.09; 95% CI, 0.92-1.30) was associated with higher levels of social vulnerability. However, overall rates of screening for depression and anxiety were low (15% and 8%, respectively), with the lowest screening rates among the most socially vulnerable (depression 8.2%, anxiety 6.3%).

CONCLUSIONS

Disparities in the diagnoses of depression and anxiety for socially vulnerable patients with IBD exist. Awareness of these inequities is the first step toward developing interventions to improve mental health screening, eliminate barriers and bias, and promote referrals for appropriate mental health management.

Native American Community Perspectives on Oral Health Access: Understanding the Impact of Rurality

PURPOSE

Oral health disparities related to access persist for American Indian/Alaska Native (AI/AN) communities compared to the general population, especially in rural areas of the United States. The objective of this study was to better understand community perspectives of oral health, how rurality impacts access to care, and attitudes towards the implementation of dental therapists in Oklahoma, particularly among the AI/AN population.

METHODS

A descriptive, observational study design was utilized. An exploratory survey was conducted online and comprised of qualitative and quantitative data. The total frequencies and percentages were evaluated for the quantitative questions. The qualitative data was analyzed using thematic analysis. Utilizing descriptive and qualitative research methods, the focus was to describe the experiences of the respondents and their characteristics related to oral health in Oklahoma.

RESULTS

A total of 201 responses were obtained, where 65% (n = 131) identified as an enrolled member or employee of a tribe represented in Oklahoma. Key qualitative themes included community access to care, community concerns, and community motivated solutions.

CONCLUSIONS

AI/AN communities are an underserved group in healthcare. Although communities in rural areas face major barriers to oral health services, evidence-based solutions can be implemented.

Urban vs. rural differences in psychiatric diagnoses, symptom severity, and functioning in a psychiatric sample

OBJECTIVE

Identifying whether certain groups of people experience elevated rates or severities of psychiatric symptoms provides information to guide healthcare allocation. People living in urban areas have higher rates of some psychiatric disorders relative to people living in rural settings, however, it is unclear if psychiatric severity is more elevated in urban vs. rural settings. This study investigates the urban vs. rural differences in rates of psychiatric disorders and severity of psychiatric symptoms.

METHOD

A cohort of patients (63% women, 85% White) presenting to an outpatient psychiatric treatment center in the U.S. completed patient-reported outcomes at all clinic visits as part of standard care. Rurality was determined by municipality population density. Sociodemographic characteristics, psychiatric diagnoses, trauma exposure, psychiatric symptom severity, functioning, and suicidality were compared by rural vs. urban municipality.

RESULTS

There were virtually no differences between patients living in rural vs. urban municipalities on rates of psychiatric disorders, severity of psychiatric symptoms, functional impairment, and suicidality (ps≥.09). The only difference was that patients living in rural municipalities had higher exposure to serious accidents than patients living in urban municipalities (p < .01); exposure to nine other traumatic events did not differ between groups (p≥.07).

CONCLUSIONS

People living in urban and rural municipalities have a similar need for mental health treatment. Access to care may be one explanatory factor for the occasional rural-urban differences in rates of psychiatric disorders. In other words, if people living in rural areas can access care, their symptom presentations appear unlikely to differ from those of people living in urban areas.

Comparison of virtual reality to physical box and blocks on cortical an neuromuscualar activations in young adults

The purpose of this study was to assess the changes in neural activations when performing the box and block test (BBT) in virtual reality (VR) compared to the physical BBT. Young healthy participants performed three trials of the BBT with their left and right hands in both the VR BBT, using VR hand controllers, and physical BBT conditions. Electromyography sensors were placed on the upper extremity of both arms and functional near-infrared spectroscopy was used to measure motor cortex activations throughout each condition. While a reduction in BBT score and increased wrist extensor neuromuscular activity is exhibited during the VR condition, there is no statistical difference in motor cortex activation between the two BBT conditions. This work provides a basis for exploring cortical and neuromuscular responses to VR in patient populations.

Development and Preliminary Validity Study of a Modified Version of the Upper Extremity Fugl-Meyer Assessment for Use in Telerehabilitation

BACKGROUND/PURPOSE

The Upper Extremity Fugl-Meyer Assessment (UEFMA, maximum 66) is widely used in clinics and research studies to examine poststroke upper extremity (UE) impairment. This study aimed to develop and provide pilot data to support the validity of a remote version of the UEFMA to examine UE impairment after stroke through telerehabilitation.

METHODS

Team members developed a remote version of the UEFMA for telerehabilitation (tUEFMA, maximum 44) using subscales II to IV and VII of the UEFMA. Twenty-two participants with moderate to severe arm impairment (UEFMA, median = 19) and chronic stroke (>1 year post) were evaluated using the UEFMA (face-to-face) and the tUEFMA (remotely). A prediction equation was used to identify the function to predict the UEFMA based on the tUEFMA. Intraclass correlation (ICC) was used to test the absolute agreement between the subscales included in the UEFMA and the tUEFMA, and between their 2 normalized total scores.

RESULTS

A strong and significant agreement was found between the total scores of the UEFMA and the projected value based on the tUEFMA (ICC = 0.79, P < 0.05). The ICC test also reported a good agreement in subscales II to IV and a poor agreement in subscale VII between the UEFMA and the tUEFMA using a real-time video link.

DISCUSSION AND CONCLUSIONS

The study findings suggest that the tUEFMA is a promising tool to remotely examine UE impairment in individuals with chronic stroke and moderate to severe arm impairment. Future research should evaluate additional psychometric properties and clinical utility of the tUEFMA across stroke participants with a broad range of arm impairments.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A441 ).

The Complex Patchwork of Transportation for In-Center Hemodialysis

Reliable transportation is an important determinant of access to health care and health outcomes that carries particular significance for people with ESKD. In the United States, there are almost half a million patients receiving treatment with in-center dialysis, translating into more than 70 million roundtrips to dialysis centers annually. Difficulty with transportation can interfere with patients' quality of life and contribute to missed or shortened dialysis treatments, increasing their risk for hospitalization. Medicare, the principal payer for dialysis in this country, has not traditionally provided coverage for nonemergency medical transportation, placing the burden of traveling to and from the dialysis center on patients and families and a range of other private and public entities that were not designed and are poorly equipped for this purpose. Here, we review the relationship between access to reliable transportation and health outcomes such as missed and shortened dialysis treatments, hospitalizations, and quality of life. We also describe current approaches to the delivery of transportation for patients receiving in-center hemodialysis, highlighting potential opportunities for improvement.

The role of socioeconomic factors as barriers to patient reported outcome measure completion following lumbar spine fusion

BACKGROUND CONTEXT

Although incorporating patient reported outcomes (PROMs) into practice allows healthcare systems to evaluate the value of care provided, research and policy reflecting PROMs can only be valid if they represent all patients. Few studies have evaluated socioeconomic barriers to PROM completion, and none have done so in a spine patient population.

PURPOSE

To identify patient barriers to PROM completion one year following lumbar spine fusion.

STUDY DESIGN/SETTING

Retrospective single-institution cohort study.

PATIENT SAMPLE

A total of 2,984 patients undergoing lumbar fusion between 2014 and 2020 OUTCOME MEASURES: Completion of Mental Component Score (MCS-12) and Physical Component Score (PCS-12) of Short Form-12 questionnaire 1 year postoperatively.

METHODS

A retrospective review was conducted of all patients undergoing 1-3-level lumbar fusion at a single urban tertiary center. PROMs were queried from our prospectively managed electronic outcomes database. Patients were considered to have complete PROMs if 1-year outcomes were available. Community-level characteristics were collected from patients' zip codes using the Economic Innovation Group Distressed Communities Index. Bivariate analyses were performed to assess factors associated with PROM incompletion along with multivariate logistic regression to control for confounders.

RESULTS

A total of 1,968 (66.0%) had incomplete 1-year PROMs. Patients with incomplete PROMs were more likely to be Black (14.5% vs 9.3%, p<.001), Hispanic (2.9% vs 1.6%, p=.027), reside in a distressed community (14.7% vs 8.5%, p<.001), and be active smokers (22.4% vs 15.5%, p<.001). On multivariate regression, Black race (OR: 1.46, p=.014, Hispanic ethnicity (OR: 2.19, p=.027), distressed community status (OR: 1.47, p=.024), workers' compensation status (OR: 2.82, p=.001), and active smoking (OR:1.31, p=.034) all were independently associated with PROM incompletion. Surgical characteristics, including primary surgeon, revision status, approach, and levels fused were not associated with PROM incompletion.

CONCLUSIONS

Social determinants of health impact completion of PROMs. Patients completing PROMs are overwhelmingly White, non-Hispanic, and reside in wealthier communities. Efforts should be taken to provide better education regarding PROMs and ensure closer follow-up of certain subgroups of patients to avoid furthering disparities in PROM research.

Driving decisions after critical illness: Qualitative analysis of patient-provider reviews during ICU recovery clinic assessments

BACKGROUND

Driving a vehicle is a functional task requiring a threshold of physical, behavioral and cognitive skills.

OBJECTIVE

To report patient-provider evaluations of driving status and driving safety assessments after critical illness.

DESIGN

Qualitative secondary analysis of driving-related dialog drawn from a two-arm pilot study evaluating telemedicine delivery of Intensive Care Unit Recovery Clinic assessments. Multidisciplinary providers assessed physical, psychological, and cognitive recovery during one-hour telemedicine ICU-RC assessments. Qualitative secondary analysis of patient-provider dialog specific to driving practices after critical illness.

SETTING AND PATIENTS

Multidisciplinary Intensive Care Unit Recovery clinic assessment dialog between 17 patients and their providers during 3-week and/or 12-week follow-up assessments at a tertiary academic medical center in the Southeastern United States.

MAIN MEASURES AND KEY RESULTS

Thematic content analysis was performed to describe and classify driving safety discussion, driving status and driving practices after critical illness. Driving-related discussions occurred with 15 of 17 participants and were clinician-initiated. When assessed, driving status varied with participants reporting independent decisions to resume driving, delay driving and cease driving after critical illness. Patient-reported driving practices after critical illness included modifications to limit driving to medical appointments, self-assessments of trip durations, and inclusion of care partners as a safety measure for new onset fatigue while driving.

CONCLUSION

We found that patients are largely self-navigating this stage of recovery, making subjective decisions on driving resumption and overall driving status. These results highlight that driving status changes are an often underrecognized yet salient social cost of critical illness.

TRIAL REGISTRATION

Clinicaltrials.gov: NCT03926533.

The Frontline Health Care Workers in Schools: Health Equity, the Distribution of School Nurses, and Student Access

The extent to which observed disparities in access to primary pediatric care are mirrored in student access to school nursing services is unknown. Using school employment records, we linked 1,346 nurses to school districts serving 1,141,495 students in Washington state. The percentage of students who are Black is negatively associated with the student-to-nurse ratio, while the percentage of students eligible for free-or-reduced-price lunch is positively associated, and relative to urban districts, rural districts have higher student-to-nurse ratios. Disparities in access to school nursing services mirror access gaps for pediatric care along socioeconomic status and geography. The increased number of nurses working in districts with more racial/ethnic minority students may play a protective role and ameliorate access gaps observed in pediatric primary care. States can likely use existing employment and licensing data to understand where school nurses work and therefore guide resource allocation decisions.

Characteristics and outcomes of patients with severe COVID-19 in Indonesia: Lessons from the first wave

BACKGROUND

Indonesia's national response to COVID-19 evolved rapidly throughout 2020. Understanding pandemic response and outcomes is crucial for better mitigation strategies ahead. This study describes the characteristics and outcomes of patients admitted to ICU during the early stages of the pandemic.

METHODS

This is a multi-centre prospective observational study including patients from twelve collaborating hospitals in Indonesia. All patients were clinically suspected or laboratory-confirmed COVID-19 cases admitted to ICU between January 2020 and March 2021. The primary outcome was monthly ICU mortality. Descriptive statistics of patient characteristics and treatment were generated as secondary outcomes.

RESULTS

From 559 subjects, the overall mortality was 68% and decreased over the study period, while the mortality of patients that received mechanical ventilation was 92%, consistently high over the study period. Fatal cases showed 2- and 4-day delays from symptoms onset to hospital admissions and ICU admissions, respectively. Evidence-backed approaches which could influence patient outcome, such as extracorporeal membrane oxygenation, prone positioning, renal replacement therapy, and neuromuscular blockade were scarcely administered.

CONCLUSIONS

The mortality rate of COVID-19 patients in Indonesia was extremely high during the first major outbreak of disease, particularly in those mechanically ventilated. Delayed admission and unavailability of evidence-based approaches due to high burden on health facility during COVID-19 crisis could be addressed by efficient public health measures and enhancing health infrastructure to improve the future pandemic response.

Wearable Device for Cumulative Chlorobenzene Detection and Accessible Mitigation Strategies

Chronic exposure to low concentrations of volatile organic compounds (VOCs), such as chlorobenzene, is not being monitored in industrializing countries, although VOC exposure is associated with carcinogenic, organ-toxic, and endocrine-disrupting effects. Current VOC-sensing technologies are inaccessible due to high cost, size, and maintenance or are ineffective due to poor sensitivity or reliability. In particular, marginalized individuals face barriers to traditional prescription VOC treatments due to cost, lack of transportation, and limited access to physicians; thus, alternative treatments are needed. Here, we created a novel cumulative wearable color-changing VOC sensor with a paper-based polydiacetylene sensor array for chlorobenzene. With a single smartphone picture, the sensor displays 14 days of logged chlorobenzene exposure data, interpreted by machine-learning (ML) techniques, including principal component analysis. Further, we explored the efficacy of affordable and accessible treatment options to mitigate a VOC's toxic effects. Vitamin D and sulforaphane are naturally found in cruciferous vegetables, like broccoli, and can be used to treat chlorobenzene-mediated bone degradation. Our platform combines these components into a smartphone app that photographs the sensor's colorimetric data, analyzes the data via ML techniques, and offers accessible treatments based on exposure data.

Development of an evidence-based model for predicting patient, provider, and appointment factors that influence no-shows in a rural healthcare system

BACKGROUND

No-show appointments pose a significant challenge for healthcare providers, particularly in rural areas. In this study, we developed an evidence-based predictive model for patient no-shows at the Marshfield Clinic Health System (MCHS) rural provider network in Wisconsin, with the aim of improving overbooking approaches in outpatient settings and reducing the negative impact of no-shows in our underserved rural patient populations.

METHODS

Retrospective data (2021) were obtained from the MCHS scheduling system, which included 1,260,083 total appointments from 263,464 patients, as well as their demographic, appointment, and insurance information. We used descriptive statistics to associate variables with show or no-show status, logistic regression, and random forests utilized, and eXtreme Gradient Boosting (XGBoost) was chosen to develop the final model, determine cut-offs, and evaluate performance. We also used the model to predict future no-shows for appointments from 2022 and onwards.

RESULTS

The no-show rate was 6.0% in both the train and test datasets. The train and test datasets both yielded 5.98. Appointments scheduled further in advance (> 60 days of lead time) had a higher (7.7%) no-show rate. Appointments for patients aged 21-30 had the highest no-show rate (11.8%), and those for patients over 60 years of age had the lowest (2.9%). The model predictions yielded an Area Under Curve (AUC) of 0.84 for the train set and 0.83 for the test set. With the cut-off set to 0.4, the sensitivity was 0.71 and the positive predictive value was 0.18. Model results were used to recommend 1 overbook for every 6 at-risk appointments per provider per day.

CONCLUSIONS

Our findings demonstrate the feasibility of developing a predictive model based on administrative data from a predominantly rural healthcare system. Our new model distinguished between show and no-show appointments with high performance, and 1 overbook was advised for every 6 at-risk appointments. This data-driven approach to mitigating the impact of no-shows increases treatment availability in rural areas by overbooking appointment slots on days with an elevated risk of no-shows.

Patients' experiences of temporomandibular disorders and related treatment

BACKGROUND

Temporomandibular disorders (TMD) are common and therefore managed by dentists on a daily basis. However, patients with TMD consistently go undetected and therefore untreated in dentistry. The reasons for these shortcomings have not been fully explored, specifically with regard to patients' perspectives. Therefore, this study aimed to explore patients' experiences of TMD and related treatment, with special focus on the experiences of having TMD, factors related to seeking care, and perspectives on received treatment.

METHODS

Purposive sampling was used to recruit adult patients at the Public Dental Health services (PDHS) in the Region of Västerbotten, Sweden, during 2019. Individual semi-structured interviews were conducted and analysed using Qualitative Content Analysis. Sixteen patients were interviewed (ten women and six men, 20-65 years). The interviews probed the patients' perspectives of having TMD, seeking care, and receiving treatment. All participants were also examined according to the Diagnostic Criteria for TMD (DC/TMD) and qualified for at least one DC/TMD diagnosis.

RESULTS

The data analysis led to the main theme Seeking care when the situation becomes untenable, but dental care fails to meet all needs. The patients expressed worry and social discomfort because of the symptoms but still strived to have an as normal daily life as possible. However, severe symptoms and associated consequences compelled them to seek professional help. Experiences of distrust together with challenges to access the PDHS were identified and related to the patients' unfulfilled expectations.

CONCLUSIONS

Patients' reported experiences indicate that receiving timely and appropriate care is more of an unfulfilled expectation than the current state of management of patients with TMD in dentistry.

Mobile Health Intervention in Patients With Type 2 Diabetes: A Randomized Clinical Trial

Importance

Clinical pharmacists and health coaches using mobile health (mHealth) tools, such as telehealth and text messaging, may improve blood glucose levels in African American and Latinx populations with type 2 diabetes.

Objective

To determine whether clinical pharmacists and health coaches using mHealth tools can improve hemoglobin A1c (HbA1c) levels.

Design, Setting, and Participants

This randomized clinical trial included 221 African American or Latinx patients with type 2 diabetes and elevated HbA1c (≥8%) from an academic medical center in Chicago. Adult patients aged 21 to 75 years were enrolled and randomized from March 23, 2017, through January 8, 2020. Patients randomized to the intervention group received mHealth diabetes support for 1 year followed by monitored usual diabetes care during a second year (follow-up duration, 24 months). Those randomized to the waiting list control group received usual diabetes care for 1 year followed by the mHealth diabetes intervention during a second year.

Interventions

The mHealth diabetes intervention included remote support (eg, review of glucose levels and medication intensification) from clinical pharmacists via a video telehealth platform. Health coach activities (eg, addressing barriers to medication use and assisting pharmacists in medication reconciliation and telehealth) occurred in person at participant homes and via phone calls and text messaging. Usual diabetes care comprised routine health care from patients' primary care physicians, including medication reconciliation and adjustment.

Main Outcomes and Measures

Outcomes included HbA1c (primary outcome), blood pressure, cholesterol, body mass index, health-related quality of life, diabetes distress, diabetes self-efficacy, depressive symptoms, social support, medication-taking behavior, and diabetes self-care measured every 6 months.

Results

Among the 221 participants (mean [SD] age, 55.2 [9.5] years; 154 women [69.7%], 148 African American adults [67.0%], and 73 Latinx adults [33.0%]), the baseline mean (SD) HbA1c level was 9.23% (1.53%). Over the initial 12 months, HbA1c improved by a mean of -0.79 percentage points in the intervention group compared with -0.24 percentage points in the waiting list control group (treatment effect, -0.62; 95% CI, -1.04 to -0.19; P = .005). Over the subsequent 12 months, a significant change in HbA1c was observed in the waiting list control group after they received the same intervention (mean change, -0.57 percentage points; P = .002), while the intervention group maintained benefit (mean change, 0.17 percentage points; P = .35). No between-group differences were found in adjusted models for secondary outcomes.

Conclusions and Relevance

In this randomized clinical trial, HbA1c levels improved among African American and Latinx adults with type 2 diabetes. These findings suggest that a clinical pharmacist and health coach-delivered mobile health intervention can improve blood glucose levels in African American and Latinx populations and may help reduce racial and ethnic disparities.

Trial Registration

ClinicalTrials.gov Identifier: NCT02990299.

Cross-sectional analysis of factors associated with medication adherence in western Kenya

OBJECTIVES

Poor medication adherence in low-income and middle-income countries is a major cause of suboptimal hypertension and diabetes control. We aimed to identify key factors associated with medication adherence in western Kenya, with a focus on cost-related and economic wealth factors.

SETTING

We conducted a cross-sectional analysis of baseline data of participants enrolled in the Bridging Income Generation with Group Integrated Care study in western Kenya.

PARTICIPANTS

All participants were ≥35 years old with either diabetes or hypertension who had been prescribed medications in the past 3 months.

PRIMARY AND SECONDARY OUTCOME MEASURES

Baseline data included sociodemographic characteristics, wealth and economic status and medication adherence information. Predictors of medication adherence were separated into the five WHO dimensions of medication adherence: condition-related factors (comorbidities), patient-related factors (psychological factors, alcohol use), therapy-related factors (number of prescription medications), economic-related factors (monthly income, cost of transportation, monthly cost of medications) and health system-related factors (health insurance, time to travel to the health facility). A multivariable analysis, controlling for age and sex, was conducted to determine drivers of suboptimal medication adherence in each overarching category.

RESULTS

The analysis included 1496 participants (73.7% women) with a mean age of 60 years (range 35-97). The majority of participants had hypertension (69.2%), 8.8% had diabetes and 22.1% had both hypertension and diabetes. Suboptimal medication adherence was reported by 71.2% of participants. Economic factors were associated with medication adherence. In multivariable analysis that investigated specific subtypes of costs, transportation costs were found to be associated with worse medication adherence. In contrast, we found no evidence of association between monthly medication costs and medication adherence.

CONCLUSION

Suboptimal medication adherence is highly prevalent in Kenya, and primary-associated factors include costs, particularly indirect costs of transportation. Addressing all economic factors associated with medication adherence will be important to improve outcomes for non-communicable diseases.

TRIAL REGISTRATION NUMBER

NCT02501746.

Implementation of the appointment-based model in community pharmacies: An analysis of refills and adherence

BACKGROUND

Traditionally, much of community pharmacy practice relies on patients to request their own medication refills. These refills are often not aligned, which has been shown to decrease adherence and workflow efficiencies. The appointment-based model (ABM) is designed to proactively synchronize refills and schedule patient-pharmacist appointments.

OBJECTIVES

To describe the characteristics of patients enrolled in the ABM; and to compare the number of distinct refill dates, number of refills, and adherence for antihypertensives, oral antihyperglycemics, and statins 6-months and 12-months pre-post ABM implementation.

METHODS

In September 2017, the ABM was implemented across independent community pharmacies within a pharmacy banner in Ontario, Canada. In December 2018, a convenience sample of three pharmacies was extracted. Demographic and clinical characteristics were collected on program enrollment (index) date for individual patients and their medication fill histories were used to investigate adherence measures including distinct number of refill dates, number of refills, and proportion of days covered. Descriptive statistics were analyzed using StataCorp.

RESULTS

Analysis of 131 patients (48.9% male; mean age 70.8 years ± 10.5 SD) filled on average 5.1 ± 2.7 medications with 73 (55.7%) experiencing polypharmacy. Patients had a significant reduction in mean number of refill dates (6.8 ± 3.8 SD six-months pre-enrollment, 4.9 ± 3.1 SD six-months post-enrollment, p < 0.0001). Adherence to chronic medications remained high (PDC ≥95%).

CONCLUSION

The ABM was implemented for a cohort of established users, already highly adherent to their chronic medications. Results demonstrate reduced filling complexity and fewer refill dates while also sustaining the high baseline adherence across all chronic medications studied. Future studies should investigate patient perspectives and potential clinical benefits of the ABM.

GPT Technology to Help Address Longstanding Barriers to Care in Free Medical Clinics

The implementation of technology in healthcare has revolutionized patient-centered decision making by providing contextualized information about a patient's healthcare journey, leading to increased efficiency (Keyworth et al. in BMC Med Inform Decis Mak 18:93, 2018, https://doi.org/10.1186/s12911-018-0661-3 ). Artificial intelligence has been integrated within Electronic Health Records (EHR) to prompt screenings or diagnostic tests based on a patient's holistic health profile. While larger hospitals have already widely adopted these technologies, free clinics hold lower utilization of these advanced capability EHRs. The patient population at a free clinic faces a multitude of factors that limits their access to comprehensive care, thus requiring necessary efforts and measures to close the gap in healthcare disparities. Emerging Artificial Intelligence (AI) technology, such as OpenAI's ChatGPT, GPT-4, and other large language models (LLMs) have remarkable potential to improve patient care outcomes, promote health equity, and enhance comprehensive and holistic care in resource-limited settings. This paper aims to identify areas in which integrating these LLM AI advancements into free clinics operations can optimize and streamline healthcare delivery to underserved patient populations. This paper also identifies areas of improvements in GPT that are necessary to deliver those services.

Hospital Catchment Areas Characteristics and Geographic Regions Associated With Higher COVID-19 Veterans Health Administration Hospitalization During the Omicron Surge

CONTEXT

Surges in the ongoing coronavirus-19 (COVID-19) pandemic and accompanying increases in hospitalizations continue to strain hospital systems. Identifying hospital-level characteristics associated with COVID-19 hospitalization rates and clusters of hospitalization "hot spots" can help with hospital system planning and resource allocation.

OBJECTIVE

To identify (1) hospital catchment area-level characteristics associated with higher COVID-19 hospitalization rates and (2) geographic regions with high and low COVID-19 hospitalization rates across catchment areas during COVID-19 Omicron surge (December 20, 2021-April 3, 2022).

DESIGN

This observational study used Veterans Health Administration (VHA), US Health Resource & Services Administration's Area Health Resources File, and US Census data. We used multivariate regression to identified hospital catchment area-level characteristics associated with COVID-19 hospitalization rates. We used ESRI ArcMap's Getis-Ord Gi* statistic to identify catchment area clusters of hospitalization hot and cold spots.

SETTING AND PARTICIPANTS

VHA hospital catchment areas in the United States (n = 143).

MAIN OUTCOME MEASURES

Hospitalization rate.

RESULTS

Greater COVID-19 hospitalization was associated with serving more high hospitalization risk patients (34.2 hospitalizations/10 000 patients per 10-percentage point increase in high hospitalization risk patients; 95% confidence intervals [CI]: 29.4, 39.0), fewer patients new to VHA during the pandemic (-3.9, 95% CI: -6.2, -1.6), and fewer COVID vaccine-boosted patients (-5.2; 95% CI: -7.9, -2.5).We identified 2 hospitalization cold spots located in the Pacific Northwest and in the Great Lakes regions, and 2 hot spots in the Great Plains and Southeastern US regions.

CONCLUSIONS

Within VHA's nationally integrated health care system, catchment areas serving a larger high hospitalization risk patient population were associated with more Omicron-related hospitalizations, while serving more patients fully vaccinated and boosted for COVID-19 and new VHA users were associated with lower hospitalization. Hospital and health care system efforts to vaccinate patients, particularly high-risk patients, can potentially safeguard against pandemic surges.Hospitalization hot spots within VHA include states with a high burden of chronic disease in the Great Plains and Southeastern United States.

Increasing overdose deaths among Black Americans: a review of the literature

In 2020, opioid overdose fatalities among Black Americans surpassed those among White Americans for the first time in US history. This Review analyses the academic literature on disparities in overdose deaths to highlight potential factors that could explain these increases in overdose deaths among Black Americans. Overall, we find that differences in structural and social determinants of health; inequality in the access, use, and continuity of substance use disorder and harm reduction services; variability in fentanyl exposure and risk; and changes in social and economic circumstances since the onset of the COVID-19 pandemic are central to explaining this trend. We conclude with a discussion of opportunities for US policy reform and opportunities for future research.

Vestibular Vertigo and Disparities in Healthcare Access Among Adults in the United States

OBJECTIVE

Vertigo and dizziness have a high lifetime prevalence with significant impacts on daily life. We sought to explore differences in access to and ability to afford care among adults with vestibular vertigo by race/ethnicity, income, and insurance type.

DESIGN

This is a cross-sectional study using the 2016 National Health Interview Survey. A total of 32,047 adults who completed the 2016 National Health Interview Survey Balance Supplement were analyzed. We used a previously validated definition of vertigo defined as (1) positional vertigo, (2) rotational vertigo, or (3) recurrent dizziness with nausea and either oscillopsia or imbalance. We examined several self-reported measures of healthcare utilization and access.

RESULTS

Among adults with vestibular vertigo, African Americans had significantly increased odds of delayed care due to lack of transportation; Hispanic ethnicity was associated with decreased odds of skipping medication doses and asking a doctor for a lower-cost medication. Adults with public insurance had significantly lower odds of reporting delayed care due to worry about cost, not receiving medical care due to cost, and delayed filling of a prescription, but had greater odds of reporting delayed care due to lack of transportation. Lack of insurance and lower income were associated with increased odds of delaying and not receiving care due to cost.

CONCLUSION

These findings demonstrate significant differences in access to care among adults with vestibular vertigo in the United States based on race, income, and health insurance status.

Health centres and social determinants of health: an analysis of enabling services provision and clinical quality

OBJECTIVE

It is well known that social determinants of health (SDOH), including poverty, education, transportation and housing, are important predictors of health outcomes. Health Resources and Services Administration (HRSA)-funded health centres serve a patient population with high vulnerability to barriers posed by SDOH and are required to provide services that enable health centre service utilisation and assist patients in navigating barriers to care. This study explores whether health centres with higher percentages of patients using these enabling services experience better clinical performance and outcomes.

DESIGN AND SETTING

The analysis uses organisational characteristics, patient demographics and clinical quality measures from HRSA's 2018 Uniform Data System. Health centres (n=875) were sorted into quartiles with quartile 1 (Q1) representing the lowest utilisation of enabling services and quartile 4 (Q4) representing the highest. The researchers calculated a service area social deprivation score weighted by the number of patients for each health centre and used ordinary least squares to create adjusted values for each of the clinical quality process and outcome measures. Analysis of variance was used to test differences across enabling services quartiles.

RESULTS

After adjusting for patient characteristics, health centre size and social deprivation, authors found statistically significant differences for all clinical quality process measures across enabling services quartiles, with Q4 health centres performing significantly better than Q1 health centres for several clinical process measures. However, these Q4 health centres performed poorer in outcome measures, including blood pressure and haemoglobin A1c control.

CONCLUSION

These findings emphasise the importance of how enabling services (eg, translation services, transportation) can address unmet social needs, improve utilisation of health services and reaffirm the challenges inherent in overcoming SDOH to improve health outcomes.

Determinants of COVID-19 vaccination worldwide: WORLDCOV, a retrospective observational study

Introduction

The COVID-19 pandemic has resulted in numerous deaths, great suffering, and significant changes in people's lives worldwide. The introduction of the vaccines was a light in the darkness, but after 18 months, a great disparity in vaccination coverage between countries has been observed. As disparities in vaccination coverage have become a global public health issue, this study aimed to analyze several variables to identify possible determinants of COVID-19 vaccination.

Methods

An ecological study was conducted using pooled secondary data sourced from institutional sites. A total of 205 countries and territories worldwide were included. A total of 16 variables from different fields were considered to establish possible determinants of COVID-19 vaccination: sociodemographic, cultural, infrastructural, economic and political variables, and health system performance indicators. The percentage of the population vaccinated with at least one dose and the total doses administered per 100 residents on 15 June 2022 were identified as indicators of vaccine coverage and outcomes. Raw and adjusted values for delivered vaccine doses in the multivariate GLM were determined using R. The tested hypothesis (i.e., variables as determinants of COVID-19 vaccination) was formulated before data collection. The study protocol was registered with the grant number NCT05471635.

Results

GDP per capita [odds = 1.401 (1.299-1.511) CI 95%], access to electricity [odds = 1.625 (1.559-1.694) CI 95%], political stability, absence of violence/terrorism [odds = 1.334 (1.284-1.387) CI 95%], and civil liberties [odds = 0.888 (0.863-0.914) CI 95%] were strong determinants of COVID-19 vaccination. Several other variables displayed a statistically significant association with outcomes, although the associations were stronger for total doses administered per 100 residents. There was a substantial overlap between raw outcomes and their adjusted counterparts.

Discussion

This pioneering study is the first to analyze the association between several different categories of indicators and COVID-19 vaccination coverage in a wide complex setting, identifying strong determinants of vaccination coverage. Political decision-makers should consider these findings when organizing mass vaccination campaigns in a pandemic context to reduce inequalities between nations and to achieve a common good from a public health perspective.

Healthcare Service Quality Evaluation in a Community-Oriented Primary Care Center, Italy

Community-oriented primary care (COPC) is an inclusive healthcare approach that combines individual care with a population-based outlook, striving to offer effective and equitable services. This study concentrates on assessing the perceived quality of a "Casa della Comunità" (CdC) implemented by the Romagna Local Health Authority, which embraces the COPC model. Through the examination of user experiences, the study aims to comprehend the influence of the CdC's care delivery model on the community's perception of service quality. From 13-18 March 2023, paper questionnaires were distributed by trained healthcare professionals and volunteers. The cross-sectional study enrolled participants aged 18 or older, capable of understanding written Italian, and willing to take part voluntarily. A total of 741 questionnaires were collected, resulting in an overall acceptance rate of 85.6%. Among the respondents, 37.9% were female, with an average age of 55.4 ± 16.2 years. While the respondents generally held a positive view of the quality, the results displayed varying levels of satisfaction across the different areas. Multivariate analysis revealed significant associations between factors such as gender, employment status, financial resources, education level, and distance from the healthcare center with the perceived quality of the facility in terms of accessibility, environment, staff, continuity of care, and overall satisfaction. The study yielded valuable insights, identifying strengths and areas for improvement and underscoring the importance of ongoing monitoring studies to enhance patient satisfaction continuously.

Wellness Wheel Clinics: A First Nation community-partnered care model improving healthcare access, from healthcare providers' perspectives

First Nation people residing in rural and remote communities have limited primary healthcare access, which often affects chronic disease management leading to poor health outcomes. Individuals with lived experiences of chronic disease and substance use, along with health directors, advocated for improved services. Subsequently, an urban healthcare team in partnership with four First Nation communities developed an Outreach clinic to address healthcare access barriers. Established in 2016, this community-led clinic improves primary care access and chronic disease management in First Nation communities. Employing a qualitative research design, interviews were conducted with 15 clinic providers and 9 community members to explore the clinic's 1-year post-implementation impacts. Thematic data analysis indicated that engagement and approval by community leadership, support from Elders and community members and collaboration with existing community healthcare staff were crucial for establishing the Outreach clinic. Initial logistical challenges with space allocation, equipment, medical supplies, funding, staffing, medical records and appointment scheduling were resolved through community consultation and creative solutions. A nurse coordinator ensured continuity of care and was integral to ensuring clients receive seamless care. The commitment of the outreach team and the collective goal of providing client-centered care were instrumental in the clinic's success. In partnership with communities, access to healthcare in First Nation communities can be enhanced by coordinating Outreach clinics through existing community healthcare facilities.

Travel Distance and Time to Pulsed Dye Laser Treatment for Port-Wine Birthmark in the Pediatric Population

Prior research has demonstrated that early treatment of port-wine birthmark (PWB) with pulsed dye laser (PDL) yields optimal patient outcomes. Given the known variations in practice patterns among dermatologists offering PDL, we conducted a cross-sectional analysis in order to determine the travel distance and time to practice locations offering PDL therapy for PWB among the pediatric population. We determined the travel time and distance from each county population center in the United States to the nearest PDL site using ArcGIS and linked the data to demographic characteristics in each census tract. 1,243 practice sites were identified that offer PDL treatment for PWB for patients under the age of 18. Children living in urban areas were found to have a significantly shorter median travel time and distance to PDL sites (6.1 miles, 11.8 minutes) compared to children living in rural areas (60.9 miles, 66.7 minutes). Additionally, uninsured children were found to travel longer average distances (32.2 miles) than insured children (24.2 miles). These findings suggest that certain socioeconomically disadvantaged groups have increased travel burden when obtaining PDL treatment for PWB. Transportation resources and support may need to be given to certain patients to ensure timely and effective PDL treatment.

Income and Insurance Status Impact Access to Health Care for Hip Osteoarthritis

Purpose

To explore differences in the affordability of and accessibility to health care among adults with hip osteoarthritis with respect to race/ethnicity, income, and insurance status.

Methods

This cross-sectional retrospective study was conducted using 2016 National Health Interview Survey (NHIS) data. NHIS data collection occurred continuously from January to December 2016. Individuals belonging to households and noninstitutionalized groups were included in the study. Because NHIS randomized surveys are conducted face-to-face on an annual basis, follow-up data are not collected.

Results

Answers from 38,158,634 weighted respondents with a mean age of 58.33 ± 0.33 years were assessed. Among adults with hip osteoarthritis, those with public insurance had increased odds of delaying care owing to lack of transportation and had decreased odds of delaying care and follow-up care owing to cost. Individuals who were uninsured or who belonged to lower income brackets were associated with increased odds of being unable to afford or utilize health care.

Conclusions

In this study, we found that income bracket and insurance status affect the accessibility to health care among adults with hip osteoarthritis in the United States.

Level of Evidence

Level IV, prognostic case series.

Perspectives from diverse stakeholders in a youth community-based participatory research project

INTRODUCTION

TEEN HEED (Help Educate to Eliminate Diabetes) is a community-based youth participatory action research (YPAR) study in which prediabetic adolescents from a predominantly low-income, non-white neighborhood in New York City participated in a peer-led diabetes prevention intervention. The aim of the current analysis is to evaluate the TEEN HEED program through examination of multiple stakeholder perspectives to identify strengths and areas for improvement that may inform other YPAR projects.

METHODS

We conducted 44 individual in-depth interviews with representatives from six stakeholder groups (study participants, peer leaders, study interns and coordinators, and younger and older community action board members). Interviews were recorded, transcribed, and analyzed using thematic analysis to identify overarching themes.

RESULTS

Dominant themes identified were: 1) YPAR principles and engagement, 2) Youth engagement through peer education, 3) Challenges and motivations for research participation, 4) Study improvements and sustainability, and 5) Professional and personal impacts of the study.

CONCLUSIONS

Emergent themes from this study provided insights on the value of youth participation in research and informed recommendations for future YPAR studies.

Racial differences in the association of undetectable HIV viral load and transportation to an HIV provider among men who have sex with men in Atlanta, Georgia: a health equity perspective

There are inequities in HIV outcomes among Black gay, bisexual, and other sexual minority men who have sex with men (GBMSM) compared to GBMSM overall, including access to transportation to HIV care. It is unclear if the relationship between transportation and clinical outcomes extends to viral load. We assessed the relationship between transportation dependence to an HIV provider and undetectable viral load among Black and White GBMSM in Atlanta. We collected transportation and viral load information from GBMSM with HIV from 2016-2017 (n = 345). More Black than White GBMSM had a detectable viral load (25% vs. 15%) and took dependent (e.g. public) transportation (37% vs. 18%). Independent (e.g. car) transportation was associated with undetectable viral load for White GBMSM (cOR 3.61, 95% CI 1.45, 8.97) but was attenuated by income (aOR. 2.29, 95% CI 0.78, 6.71), and not associated for Black GBMSM (cOR 1.18, 95% CI 0.58, 2.24). One possible explanation for no association for Black GBMSM is that there are more competing barriers to HIV care for Black GBMSM than White GBMSM. Further investigation is needed to confirm whether 1) transportation is unimportant for Black GBMSM or 2) transportation interacts with additional factors not considered in this analysis.