Group-based trajectory analysis identifies varying diabetes-related cost trajectories among type 2 diabetes patients in Texas: an empirical study using commercial insurance.

BACKGROUND: The trend of Type 2 diabetes-related costs over 4 years could be classified into different groups. Patient demographics, clinical factors (e.g., A1C, short- and long-term complications), and rurality could be associated with different trends of cost. Study objectives are to: (1) understand the trajectories of cost in different groups; (2) investigate the relationship between cost and key factors in each cost trajectory group; and (3) assess significant factors associated with different cost trajectories. METHODS: Commercial claims data in Texas from 2016 to 2019 were provided by a large commercial insurer and were analyzed using group-based trajectory analysis, longitudinal analysis of cost, and logistic regression analyses of different trends of cost. RESULTS: Five groups of distinct trends of Type 2 diabetes-related cost were identified. Close to 20% of patients had an increasing cost trend over the 4 years. High A1C values, diabetes complications, and other comorbidities were significantly associated with higher Type 2 diabetes costs and higher chances of increasing trend over time. Rurality was significantly associated with higher chances of increasing trend over time. CONCLUSIONS: Group-based trajectory analysis revealed distinct patient groups with increased cost and stable cost at low, medium, and high levels in the 4-year period. The significant associations found between the trend of cost and A1C, complications, and rurality have important policy and program implications for potentially improving health outcomes and constraining healthcare costs.

Factors associated with higher hemoglobin A1c and type 2 diabetes-related costs: Secondary data analysis of adults 18 to 64 in Texas with commercial insurance.

OBJECTIVE: This study will identify factors associated with higher hemoglobin A1c (A1c) values and diabetes-related costs among commercially insured adults in Texas diagnosed with type 2 diabetes. RESEARCH DESIGN AND METHODS: This secondary data analysis was based on claims data from commercially insured individuals 18-64 years of age residing in Texas with diagnosed type 2 diabetes during the 2018-2019 study period. The final analysis sample after all the exclusions consisted of 34,992 individuals. Measures included hemoglobin A1c, diabetes-related costs, Charlson Comorbidity Index, diabetes-related complications, rurality and other socioeconomic characteristics. Longitudinal A1c measurements were modeled using age, sex, rurality, comorbidity, and diabetes-related complications in generalized linear longitudinal regression models adjusting the observation time, which was one of the 8 quarters in 2018 and 2019. The diabetes-related costs were similarly modeled in both univariable and multivariable generalized linear longitudinal regression models adjusting the observation time by calendar quarters and covariates. RESULTS: The median A1c value was 7, and the median quarterly diabetes-related cost was $120. A positive statistically significant relationship (p = < .0001) was found between A1c levels and diabetes-related costs, although this trend slowed down as A1c levels exceeded 8.0%. Higher A1c values were associated with being male, having diabetes-related complications, and living in rural areas. Higher costs were associated with higher A1c values, older age, and higher Charlson Comorbidity Index scores. CONCLUSION: The study adds updated analyses of the interrelationships among demographic and geographic factors, clinical indicators, and health-related costs, reinforcing the role of higher A1c values and complications as diabetes-related cost drivers.

Examining the impacts of public transit on healthy aging through a natural experiment: study protocols and lessons learned from the Active El Paso project.

This paper describes protocols and experiences from a seven-year natural-experiment study in El Paso, Texas, a border city of predominantly Latino/Hispanic population. The study focuses on how Bus Rapid Transit (BRT) impacts physical activity and thus plays a role in alleviating obesity and related chronic diseases that impact healthy aging. Our protocols describe a longitudinal and case-comparison study, which compared residents exposed to new BRT stations with those who were not. This paper also introduces lessons and experiences to overcome the following challenges: delays in the BRT opening (the main intervention), the COVID-19 pandemic, methodological challenges, participant recruitment and retention, and predatory survey takers. Our transdisciplinary approach was pivotal in addressing these challenges. We also proposed and tested multi-level intervention strategies to reduce modifiable barriers to transit use. Our most important takeaway for researchers, practitioners, and policy makers is the importance of being flexible and ready to adapt to new circumstances. Future natural-experiment researchers need to become more versatile in an increasingly volatile and uncertain world.

Moving to an Activity-Friendly Community Can Increase Physical Activity.

BACKGROUND: Creating activity-friendly communities (AFCs) is an important strategy to increase physical activity (PA). While cross-sectional links between community environments and PA are well documented, their causal relationships remain insufficiently explored. METHODS: Using the accelerometer and survey data collected from adults who moved to an AFC (cases) and similar non-AFC-residing adults who did not move (comparisons), this pre-post, case-comparison study examines if moving to an AFC increases PA. Data came from 115 participants (cases = 37, comparisons = 78) from Austin, Texas, who completed 2 waves of 1-weeklong data collection. Difference-in-difference analyses and fixed-effect models were used to test the significance of the pre-post differences in moderate-to-vigorous PA (MVPA) between cases and comparisons, for the full sample and the subsample of 37 pairs matched in key covariates using the Propensity Score Matching method. RESULTS: Average treatment effect generated based on Propensity Score Matching and difference-in-difference showed that moving to this AFC led to an average of 10.88 additional minutes of daily MVPA (76.16 weekly minutes, P = .015). Fixed-effect models echoed the result with an increase of 10.39 minutes of daily MVPA after moving to the AFC. We also found that case participants who were less active at baseline and had higher income increased their MVPA more than their counterparts. CONCLUSIONS: This study showed that, among our study sample, moving to an AFC increased residents' PA significantly when compared to their premove level and the comparison group. This causal evidence suggests the potential of AFCs as sustainable interventions for PA promotion.

Environmental and Mobility Strategies During Early COVID-19: Insights From an Empirical Study Focusing on Park Visitations in El Paso, TX.

OBJECTIVES: We explored the importance of environmental and mobility strategies during early COVID-19 by age and ethnicity and investigated predictors of park visitations considering the COVID-19 impacts. BACKGROUND: Parks are safe and accessible venues to stay active and reduce social isolation, which is especially important considering COVID-19 and the associated lockdowns. METHODS: We analyzed online survey data from 683 residents (collected July 2020) of El Paso, TX, and objective measures of neighborhood park characteristics. Chi-square tests and mixed-effects logistic regression analyses were performed to examine the environmental/mobility strategies, personal and environmental factors, and park visitations, considering the COVID-19 impacts. RESULTS: The percentage of those who visited (1+ times/week) parks or trails/paths in the neighborhood dropped from 41.7% to 19.5% since the start of COVID-19 (OR = 0.015, p < .001). Before COVID-19, middle-aged and older adults were less likely to visit parks than younger adults, while this difference became insignificant during early COVID-19. Hispanic adults were more likely to visit parks than non-Hispanics both before and during early COVID-19. Positive environmental predictors of park visitations included park availability in the neighborhood, proximity to the closest park, seeing people being physically active in the neighborhood, and neighborhood aesthetics. CONCLUSIONS: Proximately located parks, trails, and paths well integrated into residential communities, and high aesthetic quality of the neighborhood are the potential features of pandemic-resilient communities and should be considered an important national priority to maintain and promote the health and well-being of the population, especially during pandemics like COVID-19.

Rural-Urban Differences in Physical Activity Tracking and Engagement in a Web-Based Platform.

OBJECTIVES: Despite the well-established health benefits of regular participation in physical activity, most adults do not meet recommended exercise guidelines. In rural communities, limited local resources and geographic dispersion make engaging in regular activity particularly difficult. Web-based solutions offer a potential solution for addressing physical activity disparities between rural and urban areas. METHODS: This study examined the physical activity logs of users (n = 6695) of a web-based platform called Walk Georgia, comparing residents of metropolitan and nonmetropolitan areas. We tabulated descriptive statistics for variables of interest, cross-tabulated for metropolitan and nonmetropolitan groups. We then used independent-samples t tests to compare logged activity between metropolitan and nonmetropolitan residing user groups. RESULTS: In the analysis of group type (n = 6654), users were more likely to enroll in the program as part of a group than as individuals (n = 4391; 65.9%), particularly for users in metropolitan areas (3558 of 5192; 68.5%). Although the groups shared certain activities, nonmetropolitan residents were more likely than metropolitan residents to engage in maintenance-based activities. Nonmetropolitan residents earned fewer program points for their activity than metropolitan users (P = .007), largely because of lower average exercise difficulty (P < .001). CONCLUSIONS: The web-based platform was effective in helping individuals track physical activity. Despite engaging in similar amounts of physical activity by time, on average, users in nonmetropolitan areas engaged in less rigorous and more maintenance-based tasks than users in metropolitan areas. One strategy for increasing physical activity among rural populations may be to leverage social support provided by group enrollment in such programming.

Discrepancies between Perceived and Physiological Fall Risks and Repeated Falls among Community-Dwelling Medicare Beneficiaries Aged 65 Years and Older.

OBJECTIVES: This study examined the associations of discrepancies between perceived and physiological fall risks with repeated falls. METHODS: We analyzed the 2016 Medicare Current Beneficiary Survey of 2,487 Medicare beneficiaries aged ≥ 65 years with ≥ 1 fall. The outcome variable was repeated falls (≥ 2 falls), the key independent variable was a categorical variable of discrepancies between perceived (fear of falling) and physiological fall risks (physiological limitations), assessed using multivariate logistic regression. RESULTS: Among Medicare beneficiaries with ≥ 1 fall, 25.1% had low fear of falling but high physiological fall risk (Low Fear-High Physiological), 9.4% had high fear of falling but low physiological fall risk (High Fear-Low Physiological), 23.5% had low fear of falling and low physiological fall risks (Low Fear-Low Physiological), and 42.0% had high fear of falling and high physiological fall risks (High Fear-High Physiological). Having High Fear-High Physiological was associated with repeated falls (OR = 2.14; p < .001) compared to Low Fear-Low Physiological. Having Low Fear-High Physiological and High Fear-LowPhysiological were not associated with repeated falls. CONCLUSIONS: Given that High Fear-High Physiological was associated with repeated falls and that many at-risk Medicare beneficiaries had High Fear-High Physiological, prevention efforts may consider targeting those most at-risk including Medicare beneficiaries with High Fear-High Physiological. CLINICAL IMPLICATIONS: Assessing both perceived and physiological fall risks is clinically relevant, given it may inform targeted interventions for different at-risk Medicare beneficiaries among clinicians and other stakeholders.

Perceived risks of transit use during COVID-19: Correlates and strategies from a case study in El Paso, Texas.

Introduction: COVID-19 has led to public transportation ridership plummeting and thus created fiscal crises and operational difficulties for transit operators. Although transit services remain essential for people with limited access to alternative transportation modes, the unfavorable public view keeps potential riders from transit. The public transportation industry is in dire need of restoring trust and recovering ridership. Methods: In July 2020, we conducted an online survey in El Paso, Texas, to investigate COVID-19 risk perceptions related to transit use. A total of 712 valid responses, consisting of 613 English and 99 Spanish responses, were included in the analyses. Results and conclusions: Descriptive and bivariate analyses showed many choice transit riders changed their mobility patterns by abandoning public transportation. Survey participants reported that social distancing and cleaning services were very important in encouraging them to return to transit. The free fare policy was also a stimulus for the existing riders to continue their transit use during the pandemic. The multivariable analysis results highlighted that public knowledge plays a vital role in COVID-19 risk perceptions and transit use decisions. Major opportunities exist in terms of public awareness campaigns that inform the public about the COVID-19 related safety measures transit operators are implementing. We further suggest some practical strategies to enhance public communication and help transit operators recover from COVID-19. This study offers timely insights for public policy stakeholders, including transit agencies, to better utilize their resources to protect public health, regain public confidence, and bring passengers back.

Physical Activity Impacts of an Activity-Friendly Community: A Natural Experiment Study Protocol.

Background: Stakeholders from multiple sectors are increasingly aware of the critical need for identifying sustainable interventions that promote healthy lifestyle behaviors. Activity-friendly communities (AFCs) have been known to provide opportunities for engaging in physical activity (PA) across the life course, which is a key to healthy living and healthy aging. Purpose: Our purpose is to describe the study protocol developed for a research project that examines: (a) the short- and long-term changes in total levels and spatial and temporal patterns of PA after individuals move from non-AFCs to an AFC; and (b) what built and natural environmental factors lead to changes in PA resulting from such a move, either directly or indirectly (e.g., by affecting psychosocial factors related to PA). Methods: This protocol is for a longitudinal, case-comparison study utilizing a unique natural experiment opportunity in Austin, Texas, USA. Case participants were those adults who moved from non-AFCs to an AFC. Matching comparison participants were residents from similar non-AFCs who did not move during the study period. Recruitment venues included local businesses, social and print media, community events, and individual referrals. Objectively measured moderate-to-vigorous PA and associated spatial and temporal patterns served as the key outcomes of interest. Independent (e.g., physical environments), confounding (e.g., demographic factors), and mediating variables (e.g., psychosocial factors) were captured using a combination of objective (e.g., GIS, GPS, Tanita scale) and subjective measures (e.g., survey, travel diary). Statistical analyses will be conducted using multiple methods, including difference-in-differences models, repeated-measures linear mixed models, hierarchical marked space-time Poisson point pattern analysis, and hierarchical linear mixed models. Conclusion: Natural experiment studies help investigate causal relationships between health and place. However, multiple challenges associated with participant recruitment, extensive and extended data collection activities, and unpredictable intervention schedules have discouraged many researchers from implementing such studies in community-based populations. This detailed study protocol will inform the execution of future studies to explore how AFCs impact population health across the life course.

Differential Effects of a Global Public Health Crisis on Physical Activity: Evidence From a Statewide Survey From the United States.

AIM: We aimed to identify how the COVID-19 lockdown affected changes, including the potential for longer term sustained changes, in physical activity, as compared to immediately prior to the pandemic. BACKGROUND: Physical activity's significant role in overall health is known to be influenced by the surrounding environment, such as one's neighborhood, prompting this study of physical activity and its relationship with individual-level and neighborhood-level factors within the pandemic timeline. METHODS: A statewide online survey assessed adults' self-reported weekly minutes of moderate-to-vigorous physical activity (MVPA) comparing a typical week immediately prior to the pandemic and during the pandemic (prewidespread vaccination) using negative binomial models. RESULTS: Overall, MVPA decreased during the pandemic, though the decrease was driven largely by the reduction in MVPA outside one's neighborhood. In contrast, MVPA done within one's neighborhood increased over time. This change in MVPA done within one's neighborhood was not uniform across several characteristics including income level favoring those with the highest income (p < .05) and race/ethnicity favoring those self-reporting as non-Hispanic White (p < .05). While several factors, including higher Walk Scores, were associated with higher levels of MVPA without evidence of change over time, evidence of a differential effect over time was seen for other key indicators of social and structural determinants of health including income and race/ethnicity. CONCLUSIONS: This study can add to the existing literature surrounding not only COVID-19 but also neighborhood built environmental research seeking to identify factors associated with changes in MVPA, a known indicator of overall health and health-related outcomes.

A Multi-Level Analyses of Charges and Cost of Fall-Related Hospitalizations Among Older Adults: Individual, Hospital, and Geospatial Variation.

The growing population of older adults has attracted concern from policymakers due in part to the fact that they are at higher risk of costly and potentially injurious falls. Responding to this concern, this study investigated fall-related hospitalizations among those aged 65 and older. Hospitalizations rose from 49,299 to 58,931, with charges and costs (estimated based on charges) increasing from $2.5 billion to $3.6 billion and under $900 million to over $1.1 billion, respectively. The intraclass correlation coefficients from linear mixed-effect models (with charges and costs serving as dependent variables) indicated differences in hospitals accounted for nearly half or more of medical cost variation among older adults suffering a fall-related hospitalization. Nonmetropolitan residence, being aged 65-69 (versus older), and higher risk-of-mortality on admission indicated higher costs. Identifying trends of fall-related hospitalizations over time allows for key stakeholders to not only track the burden of falls among older adults but to also use this information to attract funding for fall prevention strategies from policy makers at various levels (e.g., locally, at the state). Further, identifying characteristics of individuals (e.g., age, race, sex) and places (e.g., rural areas) that carry a higher relative cost can serve to inform the targeted allocation of finite resources including local, state, or federal funding, but also existing evidence-based practices such as community and clinical interventions.

Health-related consequences of the type and utilization rates of electronic devices by college students.

BACKGROUND: College students are leading an evolution of device use both in the type of device and the frequency of use. They have transitioned from desktop stations to laptops, tablets, and especially smartphones and use them throughout the day and into the night. METHODS: Using a 35-min online survey, we sought to understand how technology daily usage patterns, device types, and postures affect pain and discomfort to understand how knowledge of that pain might help students avoid it. Data were analyzed from 515 students (69.5% male) who completed an internet-delivered survey (81.3% response rate). RESULTS: Participants ranked smartphones as their most frequently used technology (64.0%), followed by laptops and tablets (both 53.2%), and desktop computers (46.4%). Time spent using smartphones averaged over 4.4 h per day. When using their devices, students were more likely to adopt non-traditional workplace postures as they used these devices primarily on the couch or at a chair with no desk. CONCLUSION: Recent trends in wireless academic access points along with the portability of small handheld devices, have made smartphones the most common link to educational materials despite having the least favorable control and display scenario from an ergonomic perspective. Further, the potential impact of transitions in work environments due to COVID-19 may further exacerbate ergonomic issues among millions highlighting the need for such work to be carried out.

Effectiveness and economic impact of a diabetes education program among adults with type 2 diabetes in South Texas.

BACKGROUND: The long-term growth and sustained high prevalence of obesity in the US is likely to increase the burden of Type 2 diabetes. Hispanic individuals are particularly burdened by a larger share of diabetes than non-Hispanic White individuals. Given the existing health disparities facing this population, we aimed to examine the effectiveness and potential cost savings of the Diabetes Education Program (DEP) offered as part of Healthy South Texas, a state-legislated initiative to reduce health disparities in 27 counties in South Texas with a high proportion of Hispanic adults. METHODS: DEP is an 8-h interactive workshop taught in English and Spanish. After the workshop, participants receive quarterly biometric screenings and continuing education with a health educator for one year. Data were analyzed from 3859 DEP participants with Type 2 diabetes living in South Texas at five time points (baseline, 3-months, 6-months, 9-months, 12-months). The primary outcome variable of interest for study analyses was A1c. A series of independent sample t-tests and linear mixed-model regression analyses were used to identify changes over time. Two methods were then applied to estimate healthcare costs savings associated with A1c reductions among participants. RESULTS: The majority of participants were ages 45-64 years (58%), female (60%), Hispanic (66%), and had a high school education or less (75%). At baseline, the average hemoglobin A1c was 8.57%. The most substantial reductions in hemoglobin A1c were identified from baseline to 3-month follow-up (P < 0.001); however, the reduction in A1c remained significant from baseline to 12-month follow-up (P < 0.001). The healthcare cost savings associated with improved A1c for the program was estimated to be between $5.3 to $5.6 million over a two to three year period. CONCLUSION: Findings support the effectiveness of DEP with ongoing follow-up for sustained diabetes risk management. While such interventions foster clinical-community collaboration and can improve patient adherence to recommended lifestyle behaviors, opportunities exist to complement DEP with other resources and services to enhance program benefits. Policy makers and other key stakeholders can assess the lessons learned in this effort to tailor and expand similar initiatives to potentially at-risk populations. TRIAL REGISTRATION: This community-based intervention is not considered a trial by ICMJE definitions, and has not be registered as such.

Social and Structural Determinants of Health Inequities: Socioeconomic, Transportation-Related, and Provincial-Level Indicators of Cost-Related Forgone Hospital Care in China.

Despite near universal health insurance coverage in China, populations with low incomes may still face barriers in access and utilization of affordable health care. We aimed to identify the likelihood of forgone medical care due to cost by surveying individuals from the community to assess: (1) The percent with forgone medical care due to cost; and (2) Factors associated with forgone medical care due to cost. Surveys conducted (2016-2017) in Mandarin included demographic and medical care utilization-related items. Theoretically-informed, fully-adjusted analyses were employed. Approximately 94% of respondents had health insurance, which is somewhat similar to national estimates. Overall, 24% of respondents resided in rural areas, with 18% having less than a high school education, and 49% being male. More than 36% reported forgone medical care due to cost in the past 12 months. In fully-adjusted analyses, having lower education, generally not being satisfied with the commute to the hospital, and being a resident of a province with a lower density of physicians were associated with forgone medical care. Cost-related disparities in the access and utilization of needed medical care persist, even with near universal health insurance, which may be due to one's satisfaction with travel time to healthcare and other community assets.

Inequities in Access to Medical Care Among Adults Diagnosed with Diabetes: Comparisons Between the US Population and a Sample of US-Residing Marshallese Islanders.

OBJECTIVE: We examined barriers to accessing medical care for migrant US-residing Marshallese Islanders. METHODS: Cross-sectional analyses were conducted to identify potential inequities. Surveys from largely migrant diabetic Marshallese Islanders (n = 255) were compared with nationally representative data. Two major outcomes were assessed including 1-whether or not one reported having forgone medical care in the past year because of cost-and 2-whether or not one reported not having a usual source of care. RESULTS: Overall, 74% and 77% of Marshallese Islanders reported forgone care and no usual source of care, respectively, versus 15% and 7% of the US diabetic population. In multivariable analyses, being younger; uninsured; unemployed; male; of lower education; Native American or Hispanic (versus White); and residing in the South were associated with forgone care nationwide, whereas only lacking insurance was associated with forgone care among Marshallese Islanders. Nationwide being younger; uninsured; unmarried; female; of lower education; Native American or Hispanic (versus White); and residing in the South were associated with not having a usual source of care, whereas only being younger and uninsured were associated with not having a usual source of care among Marshallese Islanders. CONCLUSION: The largest group of diabetic Marshallese Islanders in the continental US faces severe healthcare access inequities necessitating policies that increase access to health insurance options and associated resources.

The role of improved social support for healthy eating in a lifestyle intervention: Texercise Select.

OBJECTIVE: We examined the measurement and mediating role of social support in dietary intake among participants in Texercise Select, an intervention for improving lifestyle behaviours. DESIGN: Quasi-experimental study. Participants reported their dietary intake, level of social support measured by the new Social Support for Healthy Eating scale, sociodemographics and disease profile. We conducted exploratory factor analysis for scale evaluation and structural equation modelling for mediation analysis to test if changes in dietary-specific social support mediate the relationship between the intervention and changes in dietary intake. SETTING: Texas. PARTICIPANTS: Community-dwelling middle-aged and older adults completed a self-reported survey at baseline and 3-month follow-up (intervention group n 211, comparison group n 175). RESULTS: The majority of the sample was aged ≥70 years (mean 74·30, sd 8·54), female (82·1 %) and had at least two chronic conditions (63·5 %). The acceptable levels of reliability and validity of the dietary-specific social support scale were confirmed. Compared with the comparison group, the intervention group reported improved intake of fruit/vegetables and water, and improved dietary-specific social support. Improved dietary-specific social support mediated the association between intervention and change in fruit/vegetable intake, controlling for sociodemographics, number of chronic conditions and geographic residence. About 12 % of intervention effect was mediated by social support. CONCLUSIONS: The current study confirms positive intervention effects on healthy eating, and highlights social support relating to dietary behaviours that may be helpful for healthy eating. Future research should investigate additional social support for developing healthy eating behavioural skills.

Factors Associated With Avoiding Health Care Among Community-Dwelling Medicare Beneficiaries With Type 2 Diabetes.

INTRODUCTION: Health care avoidance by Medicare beneficiaries with chronic conditions such as type 2 diabetes can result in adverse health and economic outcomes. The objective of this study was to describe factors associated with choices to avoid health care among Medicare beneficiaries with type 2 diabetes. METHODS: We used a survey-weighted logistic model and the nationally representative 2016 Medicare Current Beneficiary Survey to analyze data on 1,782 Medicare beneficiaries aged ≥65 with type 2 diabetes, to examine associations between Medicare beneficiaries' decisions to avoid health care and multiple factors (eg, dissatisfaction with information given by providers, health problems that should have been discussed with providers but were not, worry about health more than other people their age). RESULTS: Of our study sample, 26.1% reported they avoid health care. Five factors were associated with avoiding health care: delaying care (vs not) because of costs (adjusted odds ratio [aOR] = 2.06; P = .005); having health problems that should have been discussed with providers but were not (vs having discussions) (aOR = 1.50; P = .04); worrying (vs not) about health more than other people their age (aOR = 2.13; P < .001); self-reporting "other" minority race (vs non-Hispanic White) (aOR = 2.01; P = .006); and education levels. Participants with less than a high school diploma (aOR = 1.95; P = .001) and participants with a high school diploma only (aOR = 1.49; P = .049) were more likely than participants with an education beyond high school to report avoiding health care. CONCLUSION: Approximately 1 in 4 Medicare beneficiaries with type 2 diabetes avoid health care. We found inequities in care-seeking behavior by race/ethnicity and education level. Health care perceptions and lack of appropriate discussion of health care concerns with health care providers are also associated with this behavior. Clinical interventions (eg, improved patient-provider communication) and educational outreach are needed to decrease the numbers of Medicare beneficiaries who avoid health care.

Implementing a Diabetes Education Program to Reduce Health Disparities in South Texas: Application of the RE-AIM Framework for Planning and Evaluation.

Health disparities in diabetes management and control are well-documented. The objective of this study is to describe one diabetes education program delivered in the United States in terms of the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) Planning and Evaluation Framework. Questionnaires, clinical data, and administrative records were analyzed from 8664 adults with diabetes living in South Texas, an area characterized by high health disparities. The Diabetes Education Program delivered was a professionally led 12-month program involving 8 h of in-person workshop education followed by quarterly follow-up sessions. Changes in average blood glucose levels over the past 3 months (e.g., A1c levels) were the primary clinical outcome. Descriptive and multiple generalized linear mixed models were performed. This community-based initiative reached a large and diverse population, and statistically significant reductions in A1c levels (p < 0.01) were observed among participants with Type 2 diabetes at 3 months. These reductions in A1c levels were sustained at 6-, 9-, and 12-month follow-up assessments (p < 0.01). However, considerable attrition over time at follow-up sessions indicate the need for more robust strategies to keep participants engaged. For this diabetes education program, the RE-AIM model was a useful framework to present study processes and outcomes.

Factors affecting the likelihood of a hospitalization following a diabetes-related emergency department visit: A regional and urban-rural analysis.

BACKGROUND: The objective of this study is to examine place-based and individual-level predictors of diabetes-related hospitalizations that stem from emergency department (ED) visits. METHODS: We conducted a pooled cross-sectional analysis of the National Inpatient Sample (NIS) for 2009 to 2014 to identify ED-initiated hospitalizations that were driven by the need for diabetes care. The odds of an ED-initiated diabetes-related hospitalization were assessed for the United States as a whole and separately for each census region. RESULTS: Nationally, residents of noncore areas (odds ratio [OR] 1.10; CI 1.08, 1.12), the South (OR 8.03; CI 6.84, 9.42), Blacks (OR 2.49; CI 2.47, 2.52), Hispanics (OR 2.32; CI 2.29, 2.35), Asians or Pacific Islanders (OR 1.20; CI 1.16, 1.23), Native Americans (OR 2.18; CI 2.10, 2.27), and the uninsured (OR 2.14; CI 2.11, 2.27) were significantly more likely to experience an ED-initiated hospitalization for diabetes care. Census region-stratified models showed that noncore residents of the South (OR 1.17; CI 1.14, 1.20) and Midwest (OR 1.06; CI 1.02, 1.11) had higher odds of a diabetes-related ED-initiated hospitalization. CONCLUSIONS: As continued efforts are made to reduce place-based disparities in diabetes care and management, targeted focus should be placed on residents of noncore areas in the South and Midwest, racial and ethnic minorities, as well as the uninsured population.

Violence against healthcare workers and other serious responses to medical disputes in China: surveys of patients at 12 public hospitals.

BACKGROUND: Workplace violence against healthcare workers is a global issue that is on the rise, with Chinese healthcare workers facing growing challenges with hospital violence. Attacks on medical staff have increased in recent years with no clear resolution. Prior research focused on policies to improve the doctor-patient relationship and better protect clinicians, but few studies addressed the patient perspective. This paper examines patients' choices when facing a medical dispute and identifies groups who are more likely to respond to conflict with violence or other serious actions. METHODS: Patient survey responses were collected in 12 leading public hospitals in five Chinese provinces with 5556 participants. The survey asked sociodemographic information, patients' attitudes (e.g., general optimism, trust in their physicians, perceived healthcare quality), and their primary response to a medical dispute. From least to most severe, the options range from "complaining within the family" to "violence." We used t-tests and Chi-square tests to explore the relationships between reactions and patient characteristics. We also performed multivariable logistic regressions to determine the impact of sociodemographics and provider trust on the seriousness of responses. RESULTS: The primary response of a third of respondents was complaining to hospital or health department officials (32.5%). Seeking legal help (26.3%) and direct negotiation with doctors (19.6%) were other frequent responses. More serious responses included 83 stating violence (1.5%), 9.7% expressing a desire to expose the issue to the news media, and 7.4% resorting to seeking third-party assistance. Patients who were more likely to report "violence" were male (OR = 1.81, p < .05), high-income earners (OR = 3.71, p < .05), or reported lower life satisfaction (OR = 1.40, p < .05). Higher trust scores were associated with a lower likelihood of a serious response, including violence (OR = 0.80, p < .01). CONCLUSION: Most respondents reported mild reactions when facing a medical dispute. Among those who reported the intent of serious reactions, some sociodemographic characteristics and the trust of physicians could be predictive. To prevent future hospital violence, this work helps identify the characteristics of patients who are more likely to seek severe approaches to medical dispute resolution, including resorting to violence. From these results, hospitals will be better able to target specific groups for interventions that build patient-provider trust and improve general patient satisfaction.