Estimates of those living in rural counties vary from 46.2 to 59 million, or 14% to 19% of the U.S.
Rural communities face disadvantages compared with urban areas, including higher poverty, lower ...educational attainment, and lack of access to health services. We aimed to demonstrate rural-urban disparities in cancer and to examine NCI-funded cancer control grants focused on rural populations. Estimates of 5-year cancer incidence and mortality from 2009 to 2013 were generated for counties at each level of the rural-urban continuum and for metropolitan versus nonmetropolitan counties, for all cancers combined and several individual cancer types. We also examined the number and foci of rural cancer control grants funded by NCI from 2011 to 2016. Cancer incidence was 447 cases per 100,000 in metropolitan counties and 460 per 100,000 in nonmetropolitan counties (
< 0.001). Cancer mortality rates were 166 per 100,000 in metropolitan counties and 182 per 100,000 in nonmetropolitan counties (
< 0.001). Higher incidence and mortality in rural areas were observed for cervical, colorectal, kidney, lung, melanoma, and oropharyngeal cancers. There were 48 R- and 3 P-mechanism rural-focused grants funded from 2011 to 2016 (3% of 1,655). Further investment is needed to disentangle the effects of individual-level SES and area-level factors to understand observed effects of rurality on cancer.
.
Recent eHealth developments have elevated the importance of assessing the extent to which technology has empowered patients and improved health, particularly among the most vulnerable populations. ...With noted disparities across racial and social groups in chronic health outcomes, such as cancer, obesity, and diabetes, it is essential that researchers examine any differences in the implementation, uptake, and impact of eHealth strategies across groups that bear a disproportionate burden of disease.
The goal was to examine eHealth use by sociodemographic factors, such as race/ethnicity, socioeconomic status (SES), age, and sex.
We drew data from National Cancer Institute's 2012 Health Information National Trends Survey (HINTS) (N=3959) which is publicly available online. We estimated multivariable logistic regression models to assess sociodemographic predictors of eHealth use among adult Internet users (N=2358) across 3 health communication domains (health care, health information-seeking, and user-generated content/sharing).
Among online adults, we saw no evidence of a digital use divide by race/ethnicity. However, there were significant differences in use by SES, particularly for health care and health information-seeking items. Patients with lower levels of education had significantly lower odds of going online to look for a health care provider (high school or less: OR 0.50, 95% CI 0.33-0.76) using email or the Internet to communicate with a doctor (high school or less: OR 0.46, 95% CI 0.29-0.72), tracking their personal health information online (high school or less: OR 0.53, 95% CI 0.32-0.84), using a website to help track diet, weight, and physical activity (high school or less: OR 0.64, 95% CI 0.42-0.98; some college: OR 0.67, 95% CI 0.49-0.93), or downloading health information to a mobile device (some college: OR 0.54, 95% CI 0.33-0.89). Being female was a consistent predictor of eHealth use across health care and user-generated content/sharing domains, whereas age was primarily influential for health information-seeking.
This study illustrates that lower SES, older, and male online US adults were less likely to engage in a number of eHealth activities compared to their counterparts. Future studies should assess issues of health literacy and eHealth literacy and their influence on eHealth engagement across social groups. Clinical care and public health communication efforts attempting to leverage Web 2.0 and 3.0 platforms should acknowledge differential eHealth usage to better address communication inequalities and persistent disparities in health.
Patient-centered communication (PCC) is one important component of patient-centered care and seen as a goal for most clinical encounters. Previous research has shown that higher PCC is related to an ...increase in healthy behaviors and less morbidity, among other outcomes. Given its importance, the National Cancer Institute (NCI) commissioned a monograph in 2007 to synthesize the existing literature on PCC and determine measurement objectives and strategies for measuring this construct, with a particular focus on cancer survivors. Based on this effort, a seven-item PCC scale was included on the Health Information National Trends Survey (HINTS), a probability-based survey of the US adult population. This study used HINTS data collected in 2018 to evaluate the psychometric properties of the PCC scale for the general US adult population including measures of reliability and validity.
Through an exploratory factor analysis, the seven-item PCC scale was shown to be unidimensional with good internal consistency (Cronbach's alpha = .92). A confirmatory factor analysis verified the factor structure. Other construct validity metrics included known groups and discriminant validity. Known group comparisons were conducted for several sociodemographic factors and health self-efficacy confirming a priori assumptions. Discriminant validity tests with measures of social support and anxiety/depression showed relatively weak associations.
The psychometric properties of this scale demonstrate its scientific utility for both surveillance research and other smaller-scale studies. Given its association with many health outcomes, it can also be used to better understand the dynamics in a clinical encounter.
ObjectiveTo describe the population prevalence and predictors of self-reported exposure to court-ordered tobacco-related corrective statements in 2017–2018, when they were first implemented in ...newspapers and on television.MethodsNationally representative data from the 2018 Health Information National Trends Survey were used (n=3504). Frequencies and weighted proportions were calculated for seeing any corrective statement and for each of the five court-ordered corrective statements. Weighted, multivariable logistic regression was used to examine sociodemographic and smoking status predictors of reported exposure to any corrective statement.ResultsIn 2018, an estimated 40.6% of US adults had seen messages in newspapers or on television in the past 6 months stating that a federal court has ordered tobacco companies to make statements about the dangers of smoking cigarettes. Reported exposure to topic-specific statements ranged from 11.4% (manipulation of cigarette design) to 34.7% (health effects). Those with a high school education were significantly less likely than those with a college degree to report seeing the statements (OR=0.69, CI 0.50 to 0.95) and current smokers were significantly more likely than never smokers to report seeing them (OR=1.68, CI 1.12 to 2.53).ConclusionsIn the first 6 months of corrective statement implementation, an estimated 40.6% of US adults reported at least one exposure to any corrective statement, and current smokers were more likely than never smokers to report exposure. Traditional media channels can be effective for tobacco-related message dissemination; however, they may fail to reach more than half of the adult population without additional targeted communication efforts.
The purpose of this study was to describe the proportion of U.S. adults who support, oppose, or are neutral toward a policy designating R-ratings for movies depicting cigarette smoking and to ...identify predictors of policy opposition or neutrality among a nationally representative sample.
Data from the 2020 Health Information National Trends Survey 5 Cycle 4 (fielded in 2020; N=3,865) were used to estimate the prevalence of support, neutrality, and opposition to a policy designating R-ratings for movies containing depictions of cigarette smoking. Weighted, multivariable logistic regression was used to assess the predictors of policy opposition or neutrality.
The analysis showed that 47.0% of U.S. adults were supportive, 20.3% opposed, and 30.3% were neutral toward designating R-ratings for movies depicting cigarette smoking. Older adults were significantly less likely to be neutral to or opposed to an R-rating policy than adults aged 18–34 years: age 50–64 years (OR=0.56; 95% CI=0.35, 0.87), age 65–74 years (OR=0.39; 95% CI=0.24, 0.64), and age ≥75 years (OR=0.27; 95% CI=0.16, 0.45). In addition, non-Hispanic Asians were significantly less likely than non-Hispanic Whites to be neutral to or opposed the policy (OR=0.46; 95% CI=0.25, 0.84).
Study findings show that a near majority of U.S. adults support a policy that would designate R-ratings for movies depicting cigarette smoking and that there is greater neutrality than opposition toward the policy. Assessing public opinion toward a policy designating R-ratings for movies depicting cigarette smoking may inform efforts to educate the public about the value of such policies for preventing youth tobacco initiation.
Online Health Information Seeking Among US Adults Rutten, Lila J. Finney; Blake, Kelly D.; Greenberg-Worisek, Alexandra J. ...
Public health reports (1974),
11/2019, Volume:
134, Issue:
6
Journal Article
Peer reviewed
Open access
Objective:
During the past decade, the availability of health information online has increased dramatically. We assessed progress toward the Healthy People 2020 (HP2020) health communication and ...health information technology objective of increasing the proportion of health information seekers who easily access health information online.
Methods:
We used data from 4 administrations of the Health Information National Trends Survey (HINTS 2008-2017) (N = 18 103). We conducted multivariable logistic regression analysis to evaluate trends over time in experiences with accessing health information and to examine differences by sociodemographic variables (sex, age, race/ethnicity, education, income, metropolitan status) separately for those who used the internet (vs other information sources) during their most recent search for health information.
Results:
Among US adults who looked for health information and used the internet for their most recent search, the percentage who reported accessing health information without frustration was stable during the study period (from 37.2% in 2008 to 38.5% in 2017). Accessing information online without frustration was significantly and independently associated with age 35-49 (vs age 18-34) (odds ratio OR = 1.34; 95% confidence interval CI, 1.03 -1.73), non-Hispanic black (vs non-Hispanic white) race/ethnicity (OR = 2.15; 95% CI, 1.55-2.97), and annual household income <$20 000 (vs >$75 000) (OR = 0.66; 95% CI, 0.47-0.93). The percentage of adults who used an information source other than the internet and reported accessing health information online without frustration ranged from 31.3% in 2008 to 42.7% in 2017. Survey year 2017 (vs 2008) (OR = 1.61; 95% CI, 1.09-2.35) and high school graduate education (vs college graduate) (OR = 0.69; 95% CI, 0.49-0.97) were significantly and independently associated with accessing health information without frustration from sources other than the internet.
Conclusions:
The percentage of online health information seekers reporting easily accessing health information did not meet the HP2020 objective. Continued efforts are needed to enable easy access to online health information among diverse populations.
Summary
Background
Validated diagnostic tools that are accurate, cost effective and acceptable to patients are required for disease stratification and monitoring in NAFLD.
Aims
To investigate the ...performance and cost of multiparametric MRI alongside existing biomarkers in the assessment of NAFLD.
Methods
Adult patients undergoing standard of care liver biopsy for NAFLD were prospectively recruited at two UK liver centres and underwent multiparametric MRI, blood sampling and transient elastography withing 2 weeks of liver biopsy. Non‐invasive markers were compared to histology as the gold standard.
Results
Data were obtained in 50 patients and 6 healthy volunteers. Corrected T1 (cT1) correlated with NAFLD activity score (ρ = 0.514, P < .001). cT1, enhanced liver fibrosis (ELF) test and liver stiffness differentiated patients with simple steatosis and NASH with AUROC (95% CI) of 0.69 (0.50‐0.88), 0.87 (0.77‐0.79) and 0.82 (0.70‐0.94) respectively and healthy volunteers from patients with AUROC (95% CI) of 0.93 (0.86‐1.00), 0.81 (0.69‐0.92) and 0.89 (0.77‐1.00) respectively. For the risk stratification of NAFLD, multiparametric MRI could save £150,218 per 1000 patients compared to biopsy. Multiparametric MRI did not discriminate between individual histological fibrosis stages in this population (P = .068).
Conclusions
Multiparametric MRI accurately identified patients with steatosis, stratifies those with NASH or simple steatosis and reliably excludes clinically significant liver disease with superior negative predictive value (83.3%) to liver stiffness (42.9%) and ELF (57.1%). For the risk stratification of NAFLD, multiparametric MRI was cost effective and, combined with transient elastography, had the lowest cost per correct diagnosis.
Linked content
This article is linked to Ferraioli paper. To view this article visit https://doi.org/10.1111/apt.14501.
PDF
