American Journal of Preventive Medicine最新文献

Introduction: Addressing the public health problem of physical inactivity, this study evaluates SNapp, a just-in-time adaptive app intervention to promote walking through dynamically tailored coaching content. It assesses SNapp's impact on daily steps and how users' perceptions regarding ease of use and usefulness moderated its effectiveness.

Methods: SNapp was evaluated in an RCT from February 2021 to May 2022.This trial was preregistered in the Dutch Trial Register (NL7064). Analyses were conducted in November 2022. A total of 176 adults (76% female, mean age of 56 years) were randomized to a control group receiving a step counter app (n=89) or an intervention group receiving the app plus coaching content (n=87). SNapp's coaching content encompasses individually tailored feedback on step counts and advice to engage in more walking, taking preferences regarding behavior change techniques into account. Additionally, SNapp provides contextualized content calling attention to suitable walking locations in the user's environment. The primary outcome was daily step count as recorded by the step counter app. User perceptions regarding ease of use and usefulness were assessed via survey at 3-month follow-up.

Results: Mixed models indicated that the intervention did not significantly impact step counts on average over time (B= -202.30, 95% CI= -889.7, 485.1), with the coefficient indicating that the intervention group walked fewer steps per day on average, though this difference was not statistically significant. Perceived ease of use did not moderate the intervention effect (B_{group × perceived ease of use}=38.60, 90% CI= -276.5, 353.7). Perceived usefulness significantly moderated the intervention effect (B_{group × perceived usefulness}=344.38, 90% CI=40.4, 648.3).

Conclusions: SNapp increased steps only in users who deemed the app useful, underscoring the importance of user perceptions in app-based interventions.

Introduction: Tobacco cessation remains a critical challenge in healthcare, with evidence-based interventions often underutilized due to misaligned economic incentives and inadequate training. This study aims to quantify the economic impact of missed billing opportunities for tobacco cessation in a healthcare system, thereby assessing potential revenue loss and evaluating the effectiveness of systems-based approaches to enhancing tobacco cessation efforts.

Methods: A retrospective cohort study utilized aggregated deidentified patient health data from an 8-hospital regional health system across Pennsylvania and Maryland, from 1/1/21 to 12/31/23. The analysis focused on primary care encounters eligible for tobacco cessation counseling (CPT codes 99406 or 99407), with potential revenue calculated based on the Medicare reimbursement rate.

Results: Over 3 years, and 507,656 office visits, only 1,557 (0.3%) of encounters with persons using tobacco were billed for cessation services. The estimated total potential revenue gained if each person who was identified as using tobacco was billed consistently for tobacco cessation counseling was $5,947,018.13, and $1,982,339.38 annually.

Conclusions: The study reveals a significant gap between the potential and actual billing for tobacco cessation services, highlighting not only the financial implications of missed opportunities but also a validation of a health system's public health impact. Underbilling contributes to considerable annual revenue loss and undermines primary prevention efforts against tobacco-related diseases. The findings illuminate the need for enhanced billing practices and systemic changes, including policy improvements that influence proper billing to promote public health benefits through improved tobacco cessation interventions.

Introduction: Universal Basic Income (UBI) policies have the potential to promote a wide range of public health objectives by providing those who qualify with direct cash payments. One overlooked mechanism of particular importance to health researchers is the possibility that guaranteed income might increase consultation of primary and preventive care (e.g., annual doctors' visits; regular vaccination against infectious disease) by providing people with both the time and monetary resources to do so, thereby improving general health.

Methods: This study assesses the effects of an exogenous shock to Alaska's UBI payments to all state residents: a 2022 decision to reclassify dividend "energy relief" provisions as nontaxable (thereby increasing payments by approximately $2,000 inflation-adjusted dollars). It estimates quasi-experimental treatment effects (in 2022 vs. 2021) via mixed linear probability models that compare pre/post policy change in primary care seeking behavior in Alaska vs. the US adult population; controlling for respondent-level fixed effects and state-level random effects. Data were collected in 2021-2022, and analyzed in 2024.

Results: The likelihood that Alaskans sought primary care postreform (relative to beforehand) increased by 6pp, which was significantly greater than the same difference (2pp) observed across all other (non-UBI) US States (∆=4pp, p<0.01). The study provides suggestive evidence that comparatively fewer Alaskans had difficulty affording primary care during this period, with less-consistent evidence of increased flu vaccine uptake.

Conclusions: Enhanced UBI payments ought to be thought about as a form of health policy, as they have the potential to advance a wide range of health objectives related to preventive care.

Introduction: Unexpected out-of-pocket (OOP) costs for preventive care reduce future uptake. Because adherence to service guidelines differs by patient populations, understanding the role of patient demographics and social determinants of health (SDOH) in the incidence and size of unexpected cost-sharing is necessary to address these disparities. This study examined the associations between patient demographics and cost-sharing for common preventive services.

Methods: This cross-sectional study used a national sample of insurance claims for recommended preventive services provided to privately insured adult patients between 2017 and 2020. The relationships between patient demographics and OOP costs were adjusted for service type, insurance type, geographic location, and time trends using regression analysis. Analyses were conducted in 2024.

Results: The sample included 1,736,063 unique preventive care encounters of 1,078,010 individuals. Among preventive encounters, 40.3% resulted in OOP costs. Lower-educated patients had 9.4% (OR=1.094; 95% CI=1.082, 1.106) higher odds of incurring OOP costs than patients with college degrees. Low-income patients (annual household income of $49,999 or less) had 10.7% (OR=0.893; 95% CI=0.880, 0.906) lower odds of incurring OOP costs than high-income patients. Conditional on incurring costs, lower educated patients paid $15.07 (95% CI= -$15.24, -$14.91) less than higher educated patients, and low-income patients paid $11.76 (95% CI=$11.58, $11.95) more than high-income patients. Significant differences across racial and ethnic groups were observed.

Conclusions: The likelihood and size of OOP costs for preventive care varied considerably by patient demographics; this may contribute to inequitable access to high-value care.

Introduction: Social risk factors are associated with worse access to care. This study measured the prevalence of social risk factors among low-income adults, assessed the relationship between number of social risk factors and access to care, and examined heterogeneity by health insurance type.

Methods: Using 2022 Behavioral Risk Factor Surveillance Survey data from 39 states, the association between number of SRFs (0, 1, 2-3, 4, or more) and three access to care measures (having a personal doctor, having a routine checkup, and inability to see doctor because of cost) were measured using multivariable linear probability models. The analysis was stratified by health insurance coverage type (private, Medicare, Medicaid, or uninsured) to assess whether effects were differential. Analyses were conducted in 2024.

Results: Among 90,208 low-income adults, 46.6% reported at least one SRF. Compared to people who reported no SRFs, those who reported four or more were more likely to report being unable to afford care (28.21 percentage points [PP], p<0.001) and less likely to have a personal doctor (-4.98 PP, p<0.001) or routine checkup in the last two years (-4.29 PP, p<0.001). The magnitude of disparity by number of SRFs in inability to afford care was larger among privately insured and uninsured people compared to those with Medicare or Medicaid coverage.

Conclusions: Higher levels of SRFs were associated with worse access to care among low-income adults. Policies that minimize cost-related barriers to care, coupled with care delivery reforms and social policies that address SRFs, may improve access to care.

Introduction: The purpose of this study was to explore associations between participation in out-of-school/weekend organized activities and adherence to the 24-hour movement guidelines among US adolescents.

Methods: Data from the 2022 National Survey of Children's Health (N=16,403, age=15.1±1.4 years, 48.1% female) was used for analyses in 2024. A parent/guardian completed surveys regarding adolescents' 24-hour movement behaviors (physical activity [PA], sleep [SL], and screentime [ST]), as well as participation in out-of-school and weekend activities (sports, clubs, other organized activities, and volunteering). Weighted logistic regression models were used to examine associations between participation in out-of-school and weekend organized activities and 24-hour movement guideline adherence, adjusted for sex, age, race/ethnicity, federal poverty level status, metropolitan statistical area status, and overweight/obesity status.

Results: Only 4.8% of adolescents met all three guidelines concurrently. Adolescents who participated in sports teams/lessons had higher odds of meeting PA (OR=2.11, 95% CI: 1.67-2.66), ST (OR=1.31, 95% CI: 1.12-1.53), PA+ST (OR=2.24, 95% CI: 1.63-3.07), PA+SL (OR=2.00, 95% CI: 1.53-2.63), SL+ST (OR=1.40, 95% CI; 1.19-1.66), and all three guidelines (OR=2.33, 95% CI: 1.61-3.39). Participation in other organized activities/lessons was associated with higher odds of meeting ST (OR=1.32, 95% CI: 1.13-1.56), and SL+ST guidelines (OR=1.39, 95% CI: 1.16-1.66). Adolescents who volunteered had higher odds of meeting ST (OR=1.68, 95% CI: 1.42-1.98), PA+ST (OR=1.75, 95% CI: 1.25-2.45), SL+ST (OR=1.64, 95% CI: 1.38-1.95), and all three guidelines (OR=1.80, 95% CI: 1.20-2.72).

Conclusions: Participating in sports teams/lessons and community service/volunteer work is beneficially associated with concurrently meeting all three 24-hour movement guidelines and participating in other organized activities or lessons is associated with adherence to individual components of the 24-hour movement guidelines among US adolescents.

Introduction: The CDC National Diabetes Prevention Program (National DPP) aims to reduce the incidence of type 2 diabetes in the U.S. Organizations delivering the National DPP receive pending, preliminary, full, or full-plus recognition status based on specific program criteria and outcomes. Achieving full/full-plus recognition is critical for organizations to sustain the program and receive reimbursements to cover costs, but organizations in disadvantaged areas may face barriers to obtaining this level of recognition. This study examined the association between county-level social vulnerability and full/full-plus recognition status within the National DPP.

Methods: Using the 2022 National DPP registry and the 2018 CDC Social Vulnerability Index (SVI), a three-level categorical dependent variable was created (n=843): counties without organizations having full/full-plus recognition, counties with at least one organization not having full/full-plus recognition, and counties with all organizations having full/full-plus recognition. A multinomial logit model was analyzed in 2023 to examine the association between SVI and in-person full/full-plus recognition organizations at the county level, adjusting for confounders.

Results: Compared to counties with low social vulnerability, counties with higher social vulnerability had significantly higher odds of having no organizations with full/full-plus recognition. For example, counties with high SVI had 2.63 (95% CI: 1.55-4.47) times higher odds of having no organizations with full/full-plus recognition compared to having all organizations with full/full-plus CDC recognition.

Conclusions: The findings suggest disparities in the National DPP recognition status among organizations in vulnerable communities. Developing strategies to ensure organizations in high social vulnerability areas achieve at least full recognition status is critical for program sustainability and reducing diabetes-related health disparities.

Introduction: This study examines the prospective association between financial strain and smoking cessation and smoking relapse among U.S. adults with established smoking.

Methods: Discrete-time survival models were fit to nationally representative data in Waves 1-5 (2013-2019) of the U.S. Population Assessment of Tobacco and Health Study for smoking cessation (n=6,972) and smoking relapse (n=1,195). Models were adjusted for demographics (age, sex, race, and ethnicity), socioeconomic positioning (education, income, health insurance status), and tobacco-related confounders (quit attempts, coupon receipt, and nicotine dependence). Data were collected between 2013 and 2019, and the analysis was conducted in 2023-2024.

Results: Among adults with established cigarette smoking, financial strain was associated with a reduced likelihood of cigarette smoking cessation (HR: 0.81, 95% CI: 0.72, 0.92) and an increased likelihood of cigarette smoking relapse (HR: 1.56, 95% CI: 1.24, 1.96) in multivariable models. Results were robust to sensitivity analyses varying confounder control, sample restrictions, and survey weights used.

Conclusions: The results from this study suggest that financial strain is a barrier to cigarette smoking without relapse, which may be due to stress and coping processes. Smoking cessation interventions would benefit from considering the role that financial strain plays in inhibiting smoking cessation without relapse.

Introduction: This study examines associations between externalizing behaviors/violence exposure and suicidal behavior among U.S. high school students from 1991 to 2021.

Methods: Data for this cross-sectional study were drawn from the Youth Risk Behavior Survey and the total sample contained data on 234,588 adolescents. Logistic regression models were used to assess the relationship between externalizing behaviors/violence exposure and suicidal behavior. To assess trends over time, models were then assessed for multiplicative interactions between externalizing behaviors/violence exposure and time by sex. State-level trends were also assessed. All analyses were conducted in 2024.

Results: The prevalence of externalizing behaviors/violence exposure increased among youth with an injurious suicide attempt (ISA). Logistic regression models indicated statistically significant associations across suicidal behaviors with a higher magnitude of association observed among those with an ISA. For instance, compared to those who did not carry a gun, those who carried a gun had 6.32 (95% confidence interval: 4.78, 8.36) times the odds of ISA versus no attempt and 2.66 (95% confidence interval: 2.00, 3.53) times the odds of non-ISA versus no attempt. Stronger associations arose among male individuals. Among those with an ISA in 2021, state-level differences in weapon access emerged.

Conclusions: Adolescents with externalizing behaviors/violence exposure are at an increased risk of an ISA. The relationship varies over time and by sex. Culturally adaptive and structurally competent approaches to mental health and mechanisms to identify at-risk youth are imperative.