Impact of socioeconomic factors on allergic diseases.

Allergic and immunologic conditions, including asthma, food allergy, atopic dermatitis, and allergic rhinitis, are among the most common chronic conditions in children and adolescents that often last into adulthood. Although rare, inborn errors of immunity are life-altering and potentially fatal if unrecognized or untreated. Thus, allergic and immunologic conditions are both medical and public health issues that are profoundly affected by socioeconomic factors. Recently, studies have highlighted societal issues to evaluate factors at multiple levels that contribute to health inequities and the potential steps toward closing those gaps. Socioeconomic disparities can influence all aspects of care, including health care access and quality, diagnosis, management, education, and disease prevalence and outcomes. Ongoing research, engagement, and deliberate investment of resources by relevant stakeholders and advocacy approaches are needed to identify and address the impact of socioeconomics on health care disparities and outcomes among patients with allergic and immunologic diseases.

Association of Sociodemographic Characteristics with Pediatric Vision Screening and Eye Care: An Analysis of the 2021 National Survey of Children's Health.

PURPOSE: Vision screening and regular eye care can help detect and treat potentially irreversible vision impairment. This study aims to investigate the associations between sociodemographic and health characteristics and the receipt of eye care among children aged 17 years and younger in the United States. DESIGN: This cross-sectional study used data from the National Survey of Children's Health (NSCH), a nationally representative and population-based survey of randomly sampled households. PARTICIPANTS: Participants were children aged 0 to 17 years, residing in all 50 states and the District of Columbia, whose caregivers or parents answered an address-based survey by mail or online. METHODS: Weighted prevalence calculations were applied to analyze the data, and logistic regression was performed to explore associations between reported eye care and demographic, health, and parent-related variables. MAIN OUTCOME MEASURES: Caregiver-reported vision screenings, referral to an eye doctor after vision screening, eye doctor visits, and prescription of corrective lenses. RESULTS: Caregivers reported that 53.2% of children had a vision screening at least once (if child ≤ 5 years) or within the past 2 years (if child > 5 years). Of those screened, 26.9% were referred to an eye doctor. Overall, 38.6% of all children had a previous eye doctor visit, and among them, 55.4% were prescribed corrective lenses during the visit. Factors associated with decreased odds of vision screening included younger age, lack of health care visits, no insurance coverage, parent education high school or less, and lower household income. Non-White ethnicities, households with a non-English primary language, and lower incomes were more likely to be referred to an eye doctor after vision screening. Lower rates of eye doctor visits were associated with younger age, lack of insurance coverage, and primary household languages other than English. CONCLUSIONS: Children from disadvantaged backgrounds are less likely to receive vision screening and eye care. Targeted strategies are needed to increase vision screening and access to eye care services in these vulnerable groups. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.

Comparative assessment of racial disparity in 30-day outcomes for Asian Americans undergoing carotid endarterectomy.

OBJECTIVE: Carotid endarterectomy (CEA) is an effective treatment for carotid stenosis. All previous studies on racial disparity of CEA outcomes omitted Asian Americans. This study aimed to address this gap by investigating racial disparities in 30-day outcomes following CEA among Asian Americans. METHODS: Asian American and Caucasian patients who underwent CEA were identified in the American College of Surgeons National Surgical Quality Improvement Program targeted database from 2011 to 2021. Patients with age less than 18 years old were excluded. Patients with symptomatic and asymptomatic carotid stenosis were examined separately. A 1:5 propensity-score matching was used to address preoperative differences. Thirty perioperative outcomes were assessed. RESULTS: There were 380 Asian Americans (2.27%) and 13,250 Caucasians (79.18%) with symptomatic carotid stenosis who underwent CEA. Also, 289 Asian Americans (1.40%) and 18,257 Caucasians (88.14%) with asymptomatic carotid stenosis had CEA. Asian Americans undergoing CEA presented with higher comorbid burdens and more severe symptomology. Also, asymptomatic Asian Americans were more likely to undergo surgeries for mild stenosis (<50%), which is not in line with practice guidelines. After 1:5 propensity-matching, all symptomatic Asian Americans were matched to 1550 Caucasian patients, and all asymptomatic Asian Americans were matched to 1445 Caucasians; preoperative differences were addressed. Asian Americans exhibited low overall 30-day mortality (symptomatic, 1.61%; asymptomatic, 0.35%) and stroke (symptomatic, 2.26%; asymptomatic, 0.69%). All perioperative outcomes were comparable to Caucasians, with the exception that Asian Americans experienced longer operation times. CONCLUSIONS: Evidence suggested that Asian Americans with asymptomatic stenosis were underrepresented in CEA. After propensity-score matching, Asian Americans demonstrated comparable 30-day outcomes to Caucasians. These suggest that, when afforded equal access to quality health care, CEA serves as an effective treatment for carotid stenosis among Asian Americans. Therefore, efforts may be aimed at addressing health care access, potentially in the screening for asymptomatic carotid stenosis in Asian Americans. This would ensure they have equitable benefits from CEA. Nevertheless, the exact preoperative differences and long-term CEA outcomes in Asian Americans should warrant further examination in future studies.

Availability and Cost of Expensive and Common Generic Prescription Drugs: A Cross-sectional Analysis of Direct-to-Consumer Pharmacies.

BACKGROUND: Direct-to-consumer (DTC) pharmacies sell generic prescription drugs, often at lower prices than traditional retail pharmacies; however, not all drugs are available, and prices vary. OBJECTIVE: To determine the availability and cost of generic drugs at DTC pharmacies. DESIGN: Cross-sectional study. SETTING: Five national DTC pharmacies in April and May 2023. PARTICIPANTS: Each qualifying form of 100 generic drugs with the highest cost-per-patient (expensive) and the 50 generic drugs with the highest number of patients (common) in Medicare Part D in 2020 MAIN MEASURES: Availability of these drugs and the lowest DTC pharmacy price for a standardized drug strength and supply (e.g., 30 pills), compared to GoodRx retail pharmacy prices. KEY RESULTS: Of the 118 expensive generic dosage forms, 94 (80%) were available at 1 or more DTC pharmacies; out of 52 common generic dosage forms, 51 (98%) were available (p < 0.001). Of the 88 expensive generics available in comparable quantities and strengths across pharmacies, 42 (47%) had the lowest cost at Amazon, 23 (26%) at Mark Cuban Cost Plus Drug Company, 13 (14%) at Health Warehouse, and 12 (13%) at Costco; for 51 common generic formulations, 16 (31%) had the lowest cost at Costco, 14 (27%) at Amazon, 10 (20%) at Walmart, 6 (12%) at Health Warehouse, and 5 (10%) at Mark Cuban Cost Plus Drug Company. For the 77 expensive generics with available GoodRx retail pharmacy prices, the median cost savings at DTC pharmacies were $231 (95% CI, $129-$792) or 76% (IQR, 53-91%); for 51 common generics, savings were $19 (95% CI, $10-$34) or 75% (IQR, 67-83%). CONCLUSIONS: Many of the most expensive generic drugs are unavailable at direct-to-consumer pharmacies. Meanwhile, less expensive, commonly used generics are widely available, but drug prices vary by pharmacy and savings are modest, requiring patients to shop around for the lowest cost.

Cancer diagnosis after emergency presentations in people with mental health and substance use conditions: a national cohort study.

BACKGROUND: Cancer survival and mortality outcomes for people with mental health and substance use conditions (MHSUC) are worse than for people without MHSUC, which may be partly explained by poorer access to timely and appropriate healthcare, from screening and diagnosis through to treatment and follow-up. Access and quality of healthcare can be evaluated by comparing the proportion of people who receive a cancer diagnosis following an acute or emergency hospital admission (emergency presentation) across different population groups: those diagnosed with cancer following an emergency presentation have lower survival. METHODS: National mental health service use datasets (2002-2018) were linked to national cancer registry and hospitalisation data (2006-2018), to create a study population of people aged 15 years and older with one of four cancer diagnoses: lung, prostate, breast and colorectal. The exposure group included people with a history of mental health/addiction service contact within the five years before cancer diagnosis, with a subgroup of people with a diagnosis of bipolar disorder, schizophrenia or psychotic disorders. Marginal standardised rates were used to compare emergency presentations (hospital admission within 30 days of cancer diagnosis) in the exposure and comparison groups, adjusted for age, gender (for lung and colorectal cancers), ethnicity, area deprivation and stage at diagnosis. RESULTS: For all four cancers, the rates of emergency presentation in the fully adjusted models were significantly higher in people with a history of mental health/addiction service use than people without (lung cancer, RR 1.19, 95% CI 1.13, 1.24; prostate cancer RR 1.69, 95% CI 1.44, 1.93; breast cancer RR 1.42, 95% CI 1.14, 1.69; colorectal cancer 1.31, 95% CI 1.22, 1.39). Rates were substantially higher in those with a diagnosis of schizophrenia, bipolar disorder or psychotic disorders. CONCLUSIONS: Implementing pathways for earlier detection and diagnosis of cancers in people with MHSUC could reduce the rates of emergency presentation, with improved cancer survival outcomes. All health services, including cancer screening programmes, primary and secondary care, have a responsibility to ensure equitable access to healthcare for people with MHSUC.

Inequitable access to nonpharmacologic pain treatment providers among cancer-free U.S. adults.

OBJECTIVE: Using evidence-based nonpharmacologic pain treatments may prevent opioid overuse and associated adverse outcomes. There is limited data on the impact of access-promoting social determinants of health (SDoH: education, income, transportation) on use of nonpharmacologic pain treatments. Our objective was to examine the relationship between SDoH and use of nonpharmacologic pain treatment providers. Our goal was to understand policy-actionable factors contributing to inequity in pain treatment. METHODS: Based on Andersen's Health Utilization Model, this cross-sectional analysis of 2016-2019 Medical Expenditure Panel Survey data evaluated whether use of outpatient nonpharmacologic pain treatment providers is driven by enabling (i.e., advantageous socioeconomic resources) or need (i.e., perceived disability and diagnosed disease) factors. The study sample (unweighted n = 28,188) represented a weighted N = 81,912,730 noninstitutionalized, cancer-free, U.S. adults with pain interference. The primary outcome measured use of nonpharmacologic providers relative to exclusive prescription opioid use or no treatment (i.e., neither opioids nor nonpharmacologic). To quantify equitable access, we compared the variance-between access-promoting enabling factors versus medical need factors-that explained utilization. RESULTS: Compared to enabling factors, need factors explained twice the variance predicting pain treatment utilization. Still, the adjusted odds of using nonpharmacologic providers instead of opioids alone were 39% lower among respondents identifying as Black (95% Confidence Interval [CI], 0.49-0.76) and respondents residing in the U.S. South (95% CI, 0.51-0.74). Higher education (95% CI, 1.72-2.79) and income (95% CI, 1.68-2.42) both facilitated using nonpharmacologic providers instead of opioids. CONCLUSIONS: These findings highlight the substantial influence access-promoting SDoH have on pain treatment utilization.

The HIV epidemic in Haiti: is disability a factor?

People with disabilities (PWD) are thought to be low risk for HIV because of social norms regarding disability and sex. However, qualitative studies indicate they are at risk and are not being reached by HIV programs. The Demographic and Health Survey (DHS) conducted in Haiti in 2016 included HIV biomarker data and disability status. Crude and adjusted odds ratios were calculated using a disability severity indicator as the independent variable and HIV infection as the dependent variable. Covariates were selected based on theory and previous studies. Individuals reporting milder disabilities had a higher odds of HIV infection in the crude model (OR:1.65; CI: 1.16-2.34) and those adjusted for demographics (OR:1.73; CI:1.19-2.51) and sexual activity (OR:1.60; CI:1.06-2.42). Those with moderate and more severe disabilities have the same odds of HIV infection as the general population. PWD are HIV-positive and at risk of HIV infection. Based on this, it is essential that HIV education, testing, and treatment programs are inclusive of PWD. Accessible HIV education materials need to be created. HIV testing programs should involve PWD in planning and implementation. Providers of HIV care must be trained regarding the needs of PWD for reproductive healthcare.

A systematic review of digital access to post-diagnostic health and social care services for dementia.

OBJECTIVES: For many people with dementia and unpaid carers, using technology for care and support has become essential. Rapid proliferation of technology highlights the need to understand digital access to health and social care services for dementia. This mixed-methods systematic review aims to explore digital access to health and social care services for dementia, from the perspective of people with dementia and unpaid carers. METHODS: Nine electronic databases were searched in May 2023 for qualitative, quantitative, or mixed-method studies, published in English or German, focused on experiences of using technology-delivered health and social care services for people with dementia and unpaid carers. After removal of duplicates and screening, 44 empirical papers were included. RESULTS: From the 44 studies, findings were grouped into five categories, highlighting experiences for people with dementia and unpaid carers: (1) Adapting to technology, (2) Inequalities and variations in outcomes, (3) Impact on caring, (4) Impact on health, and (5) Impact on relationships. Proliferation of technology in care access emphasised the need for quick adaptation to technology and examination of its impact. The impact of such service delivery has evidenced mixed findings. There were improvements in the health and wellbeing of people with dementia and unpaid carers, and benefits for their dyadic relationship. However, using technology for health and social care access is not always possible and is often reliant on unpaid carers for support. Lower tech-literacy, lack of equipment or money to buy equipment and poor internet connection can impact the potential for positive outcomes. CONCLUSIONS: Technology can bring great benefits: social inclusion, improved service access and care. However, using technology in service delivery in dementia needs careful thought. Professionals and service providers need to be cognizant of the complex nature of dementia, and the benefits and challenges of hybrid service delivery.

Joint effects of Medicaid eligibility and fees on recession-linked declines in healthcare access and health status.

Whether Medicaid can function as a safety net to offset health risks created by health insurance coverage losses due to job loss is conditional on (1) the eligibility guidelines shaping the pathway for households to access the program for temporary relief, and (2) Medicaid reimbursement policies affecting the value of the program for both the newly and previously enrolled. We find states with more expansive eligibility guidelines lowered the healthcare access and health risk of coverage loss associated with rising unemployment during the 2007-2009 Great Recession. Rises in cost-related barriers to care associated with unemployment were smallest in states with expansive eligibility guidelines and higher Medicaid-to-Medicare fee ratios. Similarly, states whose Medicaid programs had expansive eligibility guidelines and higher fees saw the smallest recession-linked declines in self-reported good health. Medicaid can work to stabilize access to health care during periods of joblessness. Our findings yield important insights into the alignment of at least two Medicaid policies (i.e., eligibility and payment) shaping Medicaid's viability as a safety net.

Navigating geographical disparities: access to obstetric hospitals in maternity care deserts and across the United States.

BACKGROUND: Access to maternity care in the U.S. remains inequitable, impacting over two million women in maternity care "deserts." Living in these areas, exacerbated by hospital closures and workforce shortages, heightens the risks of pregnancy-related complications, particularly in rural regions. This study investigates travel distances and time to obstetric hospitals, emphasizing disparities faced by those in maternity care deserts and rural areas, while also exploring variances across races and ethnicities. METHODS: The research adopted a retrospective secondary data analysis, utilizing the American Hospital Association and Centers for Medicaid and Medicare Provider of Services Files to classify obstetric hospitals. The study population included census tract estimates of birthing individuals sourced from the U.S. Census Bureau's 2017-2021 American Community Survey. Using ArcGIS Pro Network Analyst, drive time and distance calculations to the nearest obstetric hospital were conducted. Furthermore, Hot Spot Analysis was employed to identify areas displaying significant spatial clusters of high and low travel distances. RESULTS: The mean travel distance and time to the nearest obstetric facility was 8.3 miles and 14.1 minutes. The mean travel distance for maternity care deserts and rural counties was 28.1 and 17.3 miles, respectively. While birthing people living in rural maternity care deserts had the highest average travel distance overall (33.4 miles), those living in urban maternity care deserts also experienced inequities in travel distance (25.0 miles). States with hotspots indicating significantly higher travel distances included: Montana, North Dakota, South Dakota, and Nebraska. Census tracts where the predominant race is American Indian/Alaska Native (AIAN) had the highest travel distance and time compared to those of all other predominant races/ethnicities. CONCLUSIONS: Our study revealed significant disparities in obstetric hospital access, especially affecting birthing individuals in maternity care deserts, rural counties, and communities predominantly composed of AIAN individuals, resulting in extended travel distances and times. To rectify these inequities, sustained investment in the obstetric workforce and implementation of innovative programs are imperative, specifically targeting improved access in maternity care deserts as a priority area within healthcare policy and practice.

Manhattan Vision Screening and Follow-Up Study (NYC-SIGHT): optometric exam improves access and utilization of eye care services.

PURPOSE: To describe the benefits of optometric evaluation for detection of vision-affecting conditions in the context of community-based eye health screenings and identify factors associated with having a recent dilated eye exam. METHODS: Enrolled participants were age 40 and older, living independently in affordable housing developments in New York City. Eye health screening failure and criteria for seeing the on-site study optometrist were defined as visual acuity 20/40 or worse in either eye, intraocular pressure 23-29 mmHg, or an unreadable fundus image. The optometrist conducted a manifest refraction using loose lenses and used a portable slit lamp and ophthalmoscope to perform a non-dilated anterior and posterior segment ocular health evaluation. Demographics, social determinants of health, eye health screening results, and rates of suspected ophthalmic conditions were recorded. To determine factors associated with having a recent dilated eye exam, which was the main outcome for this statistical analysis, a stepwise multivariate logistic regression was performed. RESULTS: A total of 708 participants were screened, 308 attended the optometric exam; mean age 70.7 ± 11.7 [standard deviation (SD)] years. Among this subgroup, 70.1% identified as female, 54.9% self-identified as African American, 39% as Hispanic/Latino, and 26.6% Dominican ethnicity; 78.2% (241/308) had not undergone a dilated eye exam within the last year, 71.4% reported they did not have an eye care provider. Stepwise multivariate logistic regression analysis indicated that participants who self-reported having cataracts (odds ratio (OR) 2.15; 95% confidence interval (CI) 1.03-4.47; p = 0.041), self-reported having glaucoma/glaucoma suspect (OR 5.60; 95% CI 2.02-15.43; p = 0.001), or spoke Spanish as their primary language (OR 3.25; 95% CI 1.48-7.11; p = 0.003) had higher odds of having a recent dilated eye exam. CONCLUSIONS: This community-based screening initiative demonstrated the effectiveness of optometric exams in detecting vision-affecting conditions and identified factors associated with having a recent dilated eye exam. Optometrists play a vital role in increasing access to eye care for high-risk, underserved populations. TRIAL REGISTRATION: ClinicalTrials.gov (NCT04271709).

Problems accessing health care and under-5 mortality: a pooled analysis of 50 low- and middle-income countries.

BACKGROUND: Access to health care remains suboptimal in low- and middle-income countries (LMICs) and continues to hinder survival in early childhood. We systematically assessed the association between problems accessing health care (PAHC) and under-five mortality (U5M). METHODS: Child mortality data on 724 335 livebirths came from the latest Demographic and Health Surveys of 50 LMICs (2013-2021). Reasons for PAHC were classified into three domains: 'money needed for treatment' (economic), 'distance to health facility' (physical), 'getting permission' or 'not wanting to go alone' (socio-cultural). Multivariable logistic regression was used to estimate the association between PAHC (any and by each type) and U5M. RESULTS: In our pooled sample, 47.3 children per 1000 livebirths died before age of 5, and 57.1% reported having experienced PAHC (ranging from 45.3% in Europe & Central Asia to 72.7% in Latin America & Caribbean). Children with any PAHC had higher odds of U5M (OR: 1.05, 95% CI: 1.02, 1.09), and this association was especially significant in sub-Saharan Africa. Of different domains of PAHC, socio-cultural PAHC was found to be most significant. CONCLUSIONS: Access to health care in LMICs needs to be improved by expanding health care coverage, building health facilities, and focusing more on context-specific socio-cultural barriers.

Impact of digital infrastructure construction on the migrants' utilization of basic public health services in China.

BACKGROUND: Global digitalization significantly impacts public health by improving healthcare access for marginalized populations. In China, socioeconomic disparities and the Hukou system create significant barriers for the migrant population to access basic public health services (BPHS). This study aimed to assess how digital infrastructure construction (DIC) affects BPHS utilization among China's migrant populations, filling a gap in the literature regarding the relationship between digital advancements and health service accessibility. METHODS: This research used micro-level data from the 2018 China Migrants Dynamic Survey and incorporated variables aligned with the Broadband China policy to employ a comprehensive empirical strategy. It included baseline regressions, robustness checks through propensity score matching and machine learning techniques, and heterogeneity analysis to explore the differential impacts of DIC based on gender, age, education level, and Hukou status. RESULTS: The findings revealed that DIC significantly enhances the likelihood of migrants establishing health records and registering with family doctors, demonstrating quantifiable improvements in health service utilization. Heterogeneity analysis further indicated that the beneficial impacts of DIC were more pronounced among female migrants, those with higher education levels, younger populations, and urban Hukou holders. CONCLUSIONS: DIC plays a crucial role in bridging the accessibility gap to BPHS for migrant populations in China, contributing to narrowing health disparities and advancing social equity. These results emphasize the significance of digital infrastructure in public health strategies and offer valuable insights for policymakers, healthcare providers, and researchers. Future research should prioritize longitudinal studies on the sustained effects of DIC and tailor digital health initiatives to meet the unique needs of migrant populations, promoting inclusive health policy planning and implementation.

Inclusiveness of Access Policies to Maternity Care for Migrant Women Across Europe: A Policy Review.

INTRODUCTION: Despite the interconnectedness of the European Union, there are significant variations in pregnant women's legal status as migrants and therefore their ability to access maternity care. Limited access to maternity care can lead to higher morbidity and mortality rates in migrant women and their babies. This study aimed to investigate and compare maternal health access policies and the context in which they operate across European countries for women who have migrated and are not considered citizens of the host country. METHODS: The study adopted a mixed-methods research design exploring policies on migrant women's access to maternity care across the migration regimes. Data were extracted from legal documents and research reports to construct a new typology to identify the inclusiveness of policies determining access to maternity care for migrant women. RESULTS: This study found inconsistency in the categorisation of migrants across countries and significant disparities in access to maternity care for migrant women within and between European countries. A lack of connection between access policies and migration regimes, along with a lack of fit between policies and public support for migration suggests a low level of path dependency and leaves space for policy innovation. DISCUSSION: Inequities and inconsistencies in policies across European countries affect non-citizen migrant women's access to maternity care. These policies act to reproduce structural inequalities which compromise the health of vulnerable women and newborns in reception countries. There is an urgent need to address this inequity, which discriminates against these already marginalised women.

Quality of palliative and end-of-life care: a quantitative study of temporal trends and differences according to illness trajectories in Quebec (Canada).

BACKGROUND: Our aim was to assess temporal trends and compare quality indicators related to Palliative and End-of-Life Care (PEoLC) experienced by people dying of cancer (trajectory I), organ-failure (Trajectory II), and frailty/dementia (trajectory III) in Quebec (Canada) between 2002 and 2016. METHODS: This descriptive population-based study focused on the last month of life of decedents who, based on the principal cause of death, would have been likely to benefit from palliative care. Five PEoLC indicators were assessed: home deaths (1), deaths in acute care beds with no PEoLC services (2), at least one Emergency Room (ER) visit in the last 14 days of life (3), ER visits on the day of death (4) and at least one Intensive Care Unit (ICU) admission in the last month of life (5). Data were obtained from Quebec's Integrated Chronic Disease Surveillance System (QICDSS). RESULTS: The annual percentage of home deaths increased slightly between 2002 and 2016 in Quebec, rising from 7.7 to 9.1%, while the percentage of death during a hospitalization in acute care without palliative care decreased from 39.6% in 2002 to 21.4% in 2016. Patients with organ failure were more likely to visit the ER on the day of death (20.9%) than patients dying of cancer and dementia/frailty with percentages of 12.0% and 6.4% respectively. Similar discrepancies were observed for ICU visits in the last month and ER visits in the last 14 days. CONCLUSION: PEoLC indicators showed more aggressiveness of care for patients with organ failure and highlight the need for more equitable access to quality PEoLC between malignant and non-malignant illness trajectories. These results underline the challenges of providing timely and optimal PEoLC.

Quality of palliative and end-of-life care: a qualitative study of experts' recommendations to improve indicators in Quebec (Canada).

BACKGROUND: In 2021, the National Institute of Public Health (INSPQ) (Quebec, Canada), published an update of the palliative and end-of-life care (PEoLC) indicators. Using these updated indicators, this qualitative study aimed to explore the point of view of PEoLC experts on how to improve access and quality of care as well as policies surrounding end-of-life care. METHODS: Semi-directed interviews were conducted with palliative care and policy experts, who were asked to share their interpretations on the updated indicators and their recommendations to improve PEoLC. A thematic analysis method was used. RESULTS: The results highlight two categories of interpretations and recommendations pertaining to: (1) data and indicators and (2) clinical and organizational practice. Participants highlight the lack of reliability and quality of the data and indicators used by political and clinical stakeholders in evaluating PEoLC. To improve data and indicators, they recommend: improving the rigour and quality of collected data, assessing death percentages in all healthcare settings, promoting research on quality of care, comparing data to EOL care directives, assessing use of services in EOL, and creating an observatory on PEoLC. Participants also identified barriers and disparities in accessing PEoLC as well as inconsistency in quality of care. To improve PEoLC, they recommend: early identification of palliative care patients, improving training for all healthcare professionals, optimizing professional practice, integrating interdisciplinary teams, and developing awareness on access disparities. CONCLUSIONS: Results show that PEoLC is an important aspect of public health. Recommendations issued are relevant to improve PEoLC in and outside Quebec.

Telehealth Care Through Internet Hospitals in China: Qualitative Interview Study of Physicians' Views on Access, Expectations, and Communication.

BACKGROUND: Internet hospitals in China are an emerging medical service model similar to other telehealth models used worldwide. Internet hospitals are currently in a stage of rapid development, giving rise to a series of new opportunities and challenges for patient care. Little research has examined the views of chronic disease physicians regarding internet hospitals in China. OBJECTIVE: We aimed to explore the experience and views of chronic disease physicians at 3 tertiary hospitals in Changsha, China, regarding opportunities and challenges in internet hospital care. METHODS: We conducted semistructured qualitative interviews with physicians (n=26) who had experience working in internet hospitals affiliated with chronic disease departments in 3 tertiary hospitals in Changsha, Hunan province, south central China. Interviews were transcribed verbatim and analyzed by content analysis using NVivo software (version 11; Lumivero). RESULTS: Physicians emphasized that internet hospitals expand opportunities to conduct follow-up care and health education for patients with chronic illnesses. However, physicians described disparities in access for particular groups of patients, such as patients who are older, patients with lower education levels, patients with limited internet or technology access, and rural patients. Physicians also perceived a gap between patients' expectations and the reality of limitations regarding both physicians' availability and the scope of services offered by internet hospitals, which raised challenges for doctor-patient boundaries and trust. Physicians noted challenges in doctor-patient communication related to comprehension and informed consent in internet hospital care. CONCLUSIONS: This study explored the experience and views of physicians in 3 tertiary hospitals in Changsha, China, regarding access to care, patients' expectations versus the reality of services, and doctor-patient communication in internet hospital care. Findings from this study highlight the need for physician training in telehealth communication skills, legislation regulating informed consent in telehealth care, public education clarifying the scope of internet hospital services, and design of internet hospitals that is informed by the needs of patient groups with barriers to access, such as older adults.

Leveraging Large Language Models for Improved Patient Access and Self-Management: Assessor-Blinded Comparison Between Expert- and AI-Generated Content.

BACKGROUND: While large language models (LLMs) such as ChatGPT and Google Bard have shown significant promise in various fields, their broader impact on enhancing patient health care access and quality, particularly in specialized domains such as oral health, requires comprehensive evaluation. OBJECTIVE: This study aims to assess the effectiveness of Google Bard, ChatGPT-3.5, and ChatGPT-4 in offering recommendations for common oral health issues, benchmarked against responses from human dental experts. METHODS: This comparative analysis used 40 questions derived from patient surveys on prevalent oral diseases, which were executed in a simulated clinical environment. Responses, obtained from both human experts and LLMs, were subject to a blinded evaluation process by experienced dentists and lay users, focusing on readability, appropriateness, harmlessness, comprehensiveness, intent capture, and helpfulness. Additionally, the stability of artificial intelligence responses was also assessed by submitting each question 3 times under consistent conditions. RESULTS: Google Bard excelled in readability but lagged in appropriateness when compared to human experts (mean 8.51, SD 0.37 vs mean 9.60, SD 0.33; P=.03). ChatGPT-3.5 and ChatGPT-4, however, performed comparably with human experts in terms of appropriateness (mean 8.96, SD 0.35 and mean 9.34, SD 0.47, respectively), with ChatGPT-4 demonstrating the highest stability and reliability. Furthermore, all 3 LLMs received superior harmlessness scores comparable to human experts, with lay users finding minimal differences in helpfulness and intent capture between the artificial intelligence models and human responses. CONCLUSIONS: LLMs, particularly ChatGPT-4, show potential in oral health care, providing patient-centric information for enhancing patient education and clinical care. The observed performance variations underscore the need for ongoing refinement and ethical considerations in health care settings. Future research focuses on developing strategies for the safe integration of LLMs in health care settings.

Evaluation of the Veterans Health Administration's Digital Divide Consult for Tablet Distribution and Telehealth Adoption: Cohort Study.

BACKGROUND: Video telehealth offers a mechanism to help Veterans Health Administration (VHA) patients overcome health care access barriers; however, many veterans lack a suitable device and sufficient internet connectivity. To address disparities in technology access, VHA established a Connected Device Program that offers veterans loaned video-capable tablets and internet service. In 2020, VHA introduced a national Digital Divide Consult to facilitate and standardize referrals for this resource. OBJECTIVE: We sought to evaluate the reach and impact of VHA's Connected Device Program, leveraging Digital Divide Consult data to determine whether resources are supporting veterans with health care needs and access barriers. METHODS: We examined the reach of VHA's Connected Device Program using national secondary data from VHA's electronic health records among 119,926 tablet recipients who received a tablet (April 1, 2020, to February 28, 2023) and 683,219 veterans from the general VHA population. We assessed changes in tablet recipients' demographic and clinical characteristics before and after implementation of the Digital Divide Consult compared with the general VHA population. We examined the impact of tablets and the consult on adoption of telehealth (ie, video visit use and number of visits) adjusting for differences between tablet recipients and the general VHA population. Finally, we evaluated consult implementation by assessing the use of video-based services by tablet referral reason. RESULTS: Common reasons for tablet referral included mental health diagnoses (50,367/79,230, 63.9%), distance from a VHA facility >30 miles (17,228/79,230, 21.7%), and social isolation (16,161/79,230, 20.4%). Moreover, 63.0% (49,925/79,230) of individuals who received a tablet after implementation of the Digital Divide Consult had a video visit in the first 6 months of tablet receipt. Some consult reasons were associated with a higher-than-average percentage of video telehealth use, including enrollment in evidence-based mental health programs (74.8% [830/1100] with video use), living >30 miles from a VHA facility (68.3% [10,557/17,228] with video use), and having a mental health diagnosis (68.1% [34,301/50,367] with video use). Tablet recipients had nearly 3 times the likelihood of having a video visit within a month once provided a tablet compared to the general VHA population, with an adjusted risk ratio of 2.95 (95% CI 2.91-2.99) before consult implementation and 2.73 (95% CI 2.70-2.76) after consult implementation. Analyses of telehealth adoption suggested that veterans receiving tablets for mental health care and evidence-based programs have higher rates of video visits, while those who are homebound or receiving tablets for hospice have higher rates of nonuse. CONCLUSIONS: This evaluation of VHA's Connected Device Program suggests that tablets are facilitating video-based care among veterans with complex needs. Standardization of referrals through the Digital Divide Consult has created opportunities to identify groups of tablet recipients with lower telehealth adoption rates who might benefit from a targeted intervention.

Expanding a Behavioral View on Digital Health Access: Drivers and Strategies to Promote Equity.

The potential and threat of digital tools to achieve health equity has been highlighted for over a decade, but the success of achieving equitable access to health technologies remains challenging. Our paper addresses renewed concerns regarding equity in digital health access that were deepened during the COVID-19 pandemic. Our viewpoint is that (1) digital health tools have the potential to improve health equity if equitable access is achieved, and (2) improving access and equity in digital health can be strengthened by considering behavioral science-based strategies embedded in all phases of tool development. Using behavioral, equity, and access frameworks allowed for a unique and comprehensive exploration of current drivers of digital health inequities. This paper aims to present a compilation of strategies that can potentially have an actionable impact on digital health equity. Multilevel factors drive unequal access, so strategies require action from tool developers, individual delivery agents, organizations, and systems to effect change. Strategies were shaped with a behavioral medicine focus as the field has a unique role in improving digital health access; arguably, all digital tools require the user (individual, provider, and health system) to change behavior by engaging with the technology to generate impact. This paper presents a model that emphasizes using multilevel strategies across design, delivery, dissemination, and sustainment stages to advance digital health access and foster health equity.