Association Between Pharmacy Proximity With Cardiovascular Medication Use and Risk Factor Control in the United States

BACKGROUND

Poor neighborhood-level access to health care, including community pharmacies, contributes to cardiovascular disparities in the United States. The authors quantified the association between pharmacy proximity, antihypertensive and statin use, and blood pressure (BP) and low-density lipoprotein cholesterol (LDL-C) among a large, diverse US cohort.

METHODS AND RESULTS

A cross-sectional analysis of Black and White participants in the REGARDS (Reasons for Geographic and Racial Differences in Stroke) study during 2013 to 2016 was conducted. The authors designated pharmacy proximity by census tract using road network analysis with population-weighted centroids within a 10-minute drive time, with 5- and 20-minute sensitivity analyses. Pill bottle review measured medication use, and BP and LDL-C were assessed using standard methods. Poisson regression was used to quantify the association between pharmacy proximity with medication use and BP control, and linear regression for LDL-C. Among 16 150 REGARDS participants between 2013 and 2016, 8319 (51.5%) and 8569 (53.1%) had an indication for antihypertensive and statin medication, respectively, and pharmacy proximity data. The authors did not find a consistent association between living in a census tract with higher pharmacy proximity and antihypertensive medication use, BP control, or statin medication use and LDL-C levels, regardless of whether the area was rural, suburban, or urban. Results were similar among the 5- and 20-minute drive-time analyses.

CONCLUSIONS

Living in a low pharmacy proximity census tract may be associated with antihypertensive and statin medication use, or with BP control and LDL-C levels. Although, in this US cohort, outcomes were similar for adults living in high or low pharmacy proximity census tracts.

Health-Promoting Behaviours following Primary Treatment for Cancer: A Rural-Urban Comparison from a Cross-Sectional Study

AIM

To compare health-promoting behaviours among rural and urban residents following primary treatment for cancer.

METHODS

A cross-sectional survey collecting demographic variables and data pertaining to health-promoting behaviours, documented using the 52-item Health Promotion Lifestyle Profile II (HPLP-II) measure, which is categorised into six subscales: (1) health responsibility, (2) spiritual growth, (3) physical activity, (4) interpersonal relations, (5) nutrition, and (6) stress management. Residence was defined using the U.K. Office for National Statistics RUC 2011 Rural Urban Classifications. The Index of Multiple Deprivation (IMD) Decile was used to measure deprivation. Quantitative data were analysed using independent samples t-test and multiple linear regression. Qualitative data from open-ended questions were analysed thematically.

RESULTS

In total, 227 participants with a range of cancer types completed the questionnaire. Fifty-three percent were residents in urban areas and forty-five percent in rural areas. Rural participants scored significantly higher on health responsibility (p = 0.001), nutrition (p = 0.001), spiritual growth (p = 0.004), and interpersonal relationships (p = 0.001), as well as on the overall HPLP-II (p = 0.001). When controlling for deprivation, age, marital status, and education, rural-urban residence was a significant predictor of exhibiting health-promoting behaviours. A central theme from the qualitative data was the concept of "moving on" from cancer following treatment, by making adjustments to physical, social, psychological, spiritual, and emotional wellbeing.

CONCLUSIONS

This research revealed, for the first time, differences in health-promoting behaviours among rural and urban U.K. populations who have completed primary cancer treatment. Rural residence can provide a positive environment for engaging with health-promoting behaviours following a cancer diagnosis and treatment.

Adult children's achievements and ageing parents' depressive symptoms in China

This study examined the association between adult children's achievements and ageing parents' depressive symptoms in China. The research topic was examined within the contexts of one-child and multiple-children families in rural and urban China. Older adults (aged 60-113, N = 8,450; nested within 462 communities/villages) from the 2013 China Longitudinal Ageing Social Survey provided information about themselves and their adult children (N = 22,738). Adult children's achievements were assessed with educational attainment, financial status and occupational status; older parents' depressive symptoms were assessed with nine items of the Chinese version of the Center for Epidemiological Studies Depression Scale. Multilevel linear regression models were estimated separately for older parents with one child only and multiple children. For older parents with multiple children, both having one or more children with any achievement and the total number of children's achievements were associated with fewer depressive symptoms. For parents with only one child, any achievement of the child and the total number of the child's achievements were associated with fewer depressive symptoms. Our results also indicated that the association between children's achievements and parents' depressive symptoms varied by rural-urban residence and family type. Our findings contributed to the understanding of family dynamics underlying the emotional wellbeing of older adults in China.

Rural-Urban Inequalities in Poor Self-Rated Health, Self-Reported Functional Disabilities, and Depression among Chinese Older Adults: Evidence from the China Health and Retirement Longitudinal Study 2011 and 2015

The household registration system (Hukou) in China classifies persons into rural or urban citizens and determines eligibility for state-provided services and welfare. Not taking actual residence into account may underestimate rural–urban differences. This study investigates rural–urban inequalities in self-reported health outcomes among older adults aged 60+, taking into account both Hukou and actual residence, adjusting for sociodemographic determinants, based on the China Health and Retirement Longitudinal Study (CHARLS) in 2011 and 2015. Self-Rated Health (SRH) was assessed with a single question, functional abilities were assessed with the Basic Activities of Daily Living (BADLs) and Instrumental Activities of Daily Living (IADLs) scales, and depression was assessed with the 10-item version of the Center for Epidemiologic Studies Depression Scale. Rural respondents had poorer socioeconomic status and higher prevalence of poor SRH, functional disabilities, and depression than urban respondents in both years, which were closely related to rural–urban differences in educational level and income. Impairments appeared at a younger age among rural respondents. Analyses using only Hukou registration and not actual residence resulted in underestimation of rural–urban differences. This study may serve as a basis for interventions to address rural–urban differences in health and social services and reduce health inequalities among Chinese older adults.

Rural-Urban Residence and Stroke Risk and Severity in Postmenopausal Women: The Women's Health Initiative

Background: The impact of rural–urban residence on stroke risk and poor stroke outcomes among postmenopausal women is unknown.

Methods: We used data from the Women's Health Initiative (WHI) (1993–2014; n = 155,186) to test the hypothesis that women who live in rural compared with urban areas have higher stroke risk and worse stroke outcomes than urban women. We used rural–urban commuting area codes to categorize geocoded participant addresses into urban, large rural, or small rural areas. Incident strokes during follow-up were adjudicated by neurologists who used standardized criteria for reviewing brain imaging reports and other medical records and determining stroke subtype. Stroke functional recovery was measured with the Glasgow Stroke Outcomes Scale ascertained from the hospital record. We used univariable and multivariable-adjusted Cox proportional hazards models as well as logistic regression models to test whether rural–urban residence predicted stroke risk and odds of poor stroke outcome.

Results: Among the 155,186 women in our cohort, 2.3% (n = 3514) had an incident stroke. We observed a modest reduction in risk of incident stroke among women who lived in urban (adjusted hazard ratio [aHR]: 0.86, confidence interval [95% CI]: 0.71–1.05) and large rural areas (aHR: 0.79, 95% CI: 0.60–1.04) compared with women who lived in small rural areas. In contrast, women who lived in urban compared with large rural areas had a similarly modest increased risk of stroke (aHR: 1.09, 95% CI: 0.89–1.32). Women who lived in urban compared with large rural areas were more likely to have poor stroke outcome (odds ratio [OR]: 1.41, 95% CI: 1.06–1.88), but the association was attenuated after adjustment for covariates (adjusted OR [aOR]: 1.27, 0.93–1.74).

Conclusions: Future studies should confirm and examine the potential pathways of the reported associations among postmenopausal women.

Geographical and Racial Disparities in Head and Neck Cancer Diagnosis in South-Eastern United States: Using Real-World Electronic Medical Records Data

Background: Rurality, race, and age at diagnosis are important predictors in head and neck cancer (HNC) prognosis. However, literature on the associations of rurality and race with age at HNC diagnosis is limited. Data on geographical, racial, and gender disparities in young HNC patients (diagnosed ≤45 years) are also scarce.

Materials and Methods: This retrospective study assesses rural–urban, racial, and gender disparities in age at HNC diagnosis, using electronic medical records (Cerner) data of 4258 HNC patients (1538 residing in rural counties and 2720 in urban counties) from National Cancer Institute-designated cancer center in Alabama. Rurality was defined based on 2010 U.S. Census Bureau's rural–urban classification. Logistic regression was used to assess the association of young HNC diagnosis with demographical, behavioral, and clinical variables. ArcGIS 10.2 was used to map geospatial distribution of age and population-adjusted HNC case across rural and urban counties.

Results: Patients from rural counties were less likely to be diagnosed at younger age (≤45 years) compared with urban counties (odds ratio [OR] [95% confidence interval (CI)]: 0.74 [0.58–0.93]). Most patients present at stage III/IV (64.9% in rural and 60.2% in urban). Compared with white patients, black patients were 70% more likely to get diagnosed at a young age (95% CI: 1.23–2.35). Young patients were more likely to be females and blacks compared with older patients (p<0.0001). Among oral cavity cancer patients, rural patients were 51% less likely to get diagnosed at young age compared with urban patients (95% CI: 0.27–0.89).

Conclusions: Head and neck cancer screening is not routinely conducted so most show up at later stage of cancer. There is also evidence of disparities in age at HNC diagnosis based on rurality, race, and gender; targeted screening can help in reducing these disparities.

Rural-urban health disparities among older adults in South Africa

BACKGROUND

 There are limited studies assessing rural-urban disparities among older adults in Africa including South Africa.

AIM

 This study explores rural-urban health disparities among older adults in a population-based survey in South Africa.

SETTING

 Data for this study emanated from the 2008 study on 'Global Ageing and Adult Health (SAGE) wave 1' (N = 3280) aged 50 years or older in South Africa.

METHODS

 Associations between exposure variables and outcome variables (health status variables and chronic conditions) were examined through bivariate analyses and multivariable logistic regression.

RESULTS

 Rural dwellers were more likely to be older, black African and had lower education and wealth than urban dwellers. Rural and urban dwellers reported a similar prevalence of self-rated health status, quality of life, severe functional disability, arthritis, asthma, lung disease, hypertension, obesity, underweight, stroke and/or angina, low vision, depression, anxiety and nocturnal sleep problems. Adjusting for socio-demographic and health risk behaviour variables, urban dwellers had a higher prevalence of diabetes (OR: 2.36, 95% CI: 1.37, 4.04), edentulism (OR: 2.79, 95% CI: 1.27, 6.09) and cognitive functioning (OR: 1.91, 95% CI: 1.27, 2.85) than rural dwellers.

CONCLUSION

 There are some rural-urban health disparities in South Africa, that is, urban dwellers had a higher prevalence of diabetes, edentulism and cognitive functioning than rural ones. Understanding these rural-urban health variations may help in developing better strategies to improve health across geolocality in South Africa.

The prevalence and risk factors for cataract in rural and urban India

Purpose:

To report the prevalence and risk factors of cataract and its subtypes in older age group.

Methods:

A total of 6617 subjects were recruited from both rural and urban areas. A detailed history including data on demographic, socioeconomic and ocular history was obtained. Lens opacity was graded according to the Lens Opacity Classification System III (LOCS III).

Results:

Cataract was present in 1094 of the rural and 649 subjects in the urban population. Monotype subtype cataracts were found in 32% and 25% in rural and urban population and 12.68% and 18.6% were mixed cataracts in the rural and urban groups. In baseline characteristics history of diabetes, alcohol intake and presence of age-related macular degeneration were the risk factors in urban group. On multivariate analysis, the only significant risk factors for any cataract in subjects ≥60 years were increasing age in both rural [odds ratio (OR), 1.07] and urban (OR, 1.08) population, and HbA1c (OR, 1.14) in rural population. Overweight (OR, 0.6) was found to be a protective factor, and lower social economic status (OR, 1.52) a risk factor for cataract in urban population. A significant urban–rural difference was found in the prevalence of cataract and its subtypes (P ≤ 0.05).

Conclusion:

We found the risk factors for any cataract in older age group to be increasing age and HbA1c in rural group. Age and lower social economic status were found to be the risk factors in urban arm. A statistically significant difference was found on comparison of the prevalence of cataract and its subtypes between the rural and urban population.

Rural-Urban Residence and Stage at Breast Cancer Diagnosis Among Postmenopausal Women: The Women's Health Initiative

BACKGROUND

Although social exposures have complex and dynamic relationships and interactions, the existing literature on the impact of rural-urban residence on stage at breast cancer diagnosis does not examine heterogeneity of effect. We examined the joint effect of social support, social relationship strain, and rural-urban residence on stage at breast cancer diagnosis.

METHODS

Using data from the Women's Health Initiative (WHI) (n = 161,808), we describe the distribution of social, behavioral, and clinical factors by rural-urban residence among postmenopausal women with incident breast cancer (n = 7,120). We used rural-urban commuting area (RUCA) codes to categorize baseline residential addresses as urban, large rural city/town, or small rural town, and the surveillance, epidemiology, and end results staging system to categorize breast cancer stage at diagnosis (dichotomized as early or late). We then used univariable and multivariable logistic regression to estimate odds ratios (ORs) and associated 95% confidence intervals (95% CI) for the relationship between rural-urban residence and stage at breast cancer diagnosis. We included separate interaction terms between rural-urban residence and social strain and social support to test for statistical interaction.

RESULTS

Of the social, behavioral, and clinical factors we examined, only younger age at WHI enrollment screening was significantly associated with late stage at breast cancer diagnosis (p = 0.003). Contrary to our hypothesis, rural-urban residence was not significantly associated with stage at breast cancer diagnosis among postmenopausal women ([adjusted OR, 95% CI] for urban compared with small town: 1.08 [0.76-1.53]; large town compared with small town: 1.16 [0.74-1.84]; and urban compared with large town: 0.93 [0.68-1.26]).The associations did not vary by social support or social strain (p for interaction between RUCA and social strain and social support, respectively: 0.99 and 0.17).

CONCLUSIONS

Future studies should examine other potential effect modifiers to identify novel factors predictive or protective for late stage at breast cancer diagnosis associated with rural-urban residence.

Screening and Follow-Up Monitoring for Substance Use in Primary Care: An Exploration of Rural-Urban Variations

BACKGROUND

Rates of substance use in rural areas are close to those of urban areas. While recent efforts have emphasized integrated care as a promising model for addressing workforce shortages in providing behavioral health services to those living in medically underserved regions, little is known on how substance use problems are addressed in rural primary care settings.

OBJECTIVE

To examine rural-urban variations in screening and monitoring primary care- based patients for substance use problems in a state-wide mental health integration program.

DESIGN

This was an observational study using patient registry.

SUBJECTS

The study included adult enrollees (n = 15,843) with a mental disorder from 133 participating community health clinics.

MAIN OUTCOMES

We measured whether a standardized substance use instrument was used to screen patients at treatment entry and to monitor symptoms at follow-up visits.

KEY RESULTS

While on average 73.6 % of patients were screened for substance use, follow-up on substance use problems after initial screening was low (41.4 %); clinics in small/isolated rural settings appeared to be the lowest (13.6 %). Patients who were treated for a mental disorder or substance abuse in the past and who showed greater psychiatric complexities were more likely to receive a screening, whereas patients of small, isolated rural clinics and those traveling longer distances to the care facility were least likely to receive follow-up monitoring for their substance use problems.

CONCLUSIONS

Despite the prevalent substance misuse among patients with mental disorders, opportunities to screen this high-risk population for substance use and provide a timely follow-up for those identified as at risk remained overlooked in both rural and urban areas. Rural residents continue to bear a disproportionate burden of substance use problems, with rural-urban disparities found to be most salient in providing the continuum of services for patients with substance use problems in primary care.

Widening rural-urban disparities in all-cause mortality and mortality from major causes of death in the USA, 1969-2009

This study examined trends in rural-urban disparities in all-cause and cause-specific mortality in the USA between 1969 and 2009. A rural-urban continuum measure was linked to county-level mortality data. Age-adjusted death rates were calculated by sex, race, cause-of-death, area-poverty, and urbanization level for 13 time periods between 1969 and 2009. Cause-of-death decomposition and log-linear and Poisson regression were used to analyze rural-urban differentials. Mortality rates increased with increasing levels of rurality overall and for non-Hispanic whites, blacks, and American Indians/Alaska Natives. Despite the declining mortality trends, mortality risks for both males and females and for blacks and whites have been increasingly higher in non-metropolitan than metropolitan areas, particularly since 1990. In 2005-2009, mortality rates varied from 391.9 per 100,000 population for Asians/Pacific Islanders in rural areas to 1,063.2 for blacks in small-urban towns. Poverty gradients were steeper in rural areas, which maintained higher mortality than urban areas after adjustment for poverty level. Poor blacks in non-metropolitan areas experienced two to three times higher all-cause and premature mortality risks than affluent blacks and whites in metropolitan areas. Disparities widened over time; excess mortality from all causes combined and from several major causes of death in non-metropolitan areas was greater in 2005-2009 than in 1990-1992. Causes of death contributing most to the increasing rural-urban disparity and higher rural mortality include heart disease, unintentional injuries, COPD, lung cancer, stroke, suicide, diabetes, nephritis, pneumonia/influenza, cirrhosis, and Alzheimer's disease. Residents in metropolitan areas experienced larger mortality reductions during the past four decades than non-metropolitan residents, contributing to the widening gap.

Incidence of liver trauma and relative risk factors for mortality: a population-based study

BACKGROUND

Liver trauma is the main cause of death arising from blunt abdominal injury. Nonoperative management (NOM) has been advocated to be a safe option for stable patients who have suffered liver trauma. This study used a population-based dataset to illustrate the incidence of liver trauma, its various causes and treatment, and outcomes.

METHODS

Information about all patients with any ICD-9-CM coded as liver injury was retrieved as part of a claims dataset for the years 2007 and 2008 from the database maintained in the Bureau of National Health Insurance in Taiwan. Thereafter, statistical analyses were conducted to discover the incidence, mortality rate, percentage of patients receiving NOM, and the association between variables such as age, gender, injury mechanisms, associated injuries, and outcome.

RESULTS

A total of 3196 liver trauma patients were admitted in 2007 and 2008, resulting in 264 deaths. The incidence rate is 13.9/100,000 population. The highest incidence rate was in the age 15-24 years group, 25.9/100,000 population; the highest mortality rate was in the age 75-84 years group, 2.1/100,000 population. Additionally, rural residents possessed a higher incidence and mortality rate than urban residents (15.9/100,000 population vs. 12.2/100,000 population and 1.4/100,000 population vs. 1.0/100,000 population). By using logistic regression, the mortality rate was significantly higher in the groups with patients aged >64 years, renal failure or liver cirrhosis, with head or chest, or other abdominal injury. If a patient received a hepatic or abdominal operation, this was retrospectively found to be associated with increased mortality risk (4.731 times, p < 0.001 and 4.311 times, p < 0.001, respectively); however, the characteristics of the treating hospitals did not influence the mortality rate. Patients whose monthly income was >US$660 were found to have a higher mortality risk (2.209 times, p < 0.001).

CONCLUSION

The overall incidence rate of liver trauma was higher in the younger age group and in rural residents. A higher risk of mortality was found in the age > 64 years group, pedestrians hit in motor-vehicle accidents, renal failure or liver cirrhosis, with head or chest, or other abdominal injury.

All-cause and cause-specific mortality among US youth: socioeconomic and rural-urban disparities and international patterns

We analyzed international patterns and socioeconomic and rural-urban disparities in all-cause mortality and mortality from homicide, suicide, unintentional injuries, and HIV/AIDS among US youth aged 15-24 years. A county-level socioeconomic deprivation index and rural-urban continuum measure were linked to the 1999-2007 US mortality data. Mortality rates were calculated for each socioeconomic and rural-urban group. Poisson regression was used to derive adjusted relative risks of youth mortality by deprivation level and rural-urban residence. The USA has the highest youth homicide rate and 6th highest overall youth mortality rate in the industrialized world. Substantial socioeconomic and rural-urban gradients in youth mortality were observed within the USA. Compared to their most affluent counterparts, youth in the most deprived group had 1.9 times higher all-cause mortality, 8.0 times higher homicide mortality, 1.5 times higher unintentional-injury mortality, and 8.8 times higher HIV/AIDS mortality. Youth in rural areas had significantly higher mortality rates than their urban counterparts regardless of deprivation levels, with suicide and unintentional-injury mortality risks being 1.8 and 2.3 times larger in rural than in urban areas. However, youth in the most urbanized areas had at least 5.6 times higher risks of homicide and HIV/AIDS mortality than their rural counterparts. Disparities in mortality differed by race and sex. Socioeconomic deprivation and rural-urban continuum were independently related to disparities in youth mortality among all sex and racial/ethnic groups, although the impact of deprivation was considerably greater. The USA ranks poorly in all-cause mortality, youth homicide, and unintentional-injury mortality rates when compared with other industrialized countries.