Defining the rural HIV epidemic: correlations of 3 definitions--South Carolina, 2005-2011

Comparison of urban and rural mortality rates across the lifespan in Aotearoa/New Zealand: a population-level study

BACKGROUND

Previous studies undertaken in New Zealand using generic rurality classifications have concluded that life expectancy and age-standardised mortality rates are similar for urban and rural populations.

METHODS

Administrative mortality (2014-2018) and census data (2013 and 2018) were used to estimate age-stratified sex-adjusted mortality rate ratios (aMRRs) for a range of mortality outcomes across the rural-urban spectrum (using major urban centres as the reference) for the total population and separately for Māori and non-Māori. Rural was defined according to the recently developed Geographic Classification for Health.

RESULTS

Mortality rates were higher overall in rural areas. This was most pronounced in the youngest age group (<30 years) in the most remote communities (eg, all-cause, amenable and injury-related aMRRs (95% CIs) were 2.1 (1.7 to 2.6), 2.5 (1.9 to 3.2) and 3.0 (2.3 to 3.9) respectively. The rural:urban differences attenuated markedly with increasing age; for some outcomes in those aged 75 years or more, estimated aMRRs were <1.0. Similar patterns were observed for Māori and non-Māori.

CONCLUSION

This is the first time that a consistent pattern of higher mortality rates for rural populations has been observed in New Zealand. A purpose-built urban-rural classification and age stratification were important factors in unmasking these disparities.

Unmasking hidden disparities: a comparative observational study examining the impact of different rurality classifications for health research in Aotearoa New Zealand

OBJECTIVES

Examine the impact of two generic-urban-rural experimental profile (UREP) and urban accessibility (UA)-and one purposely built-geographic classification for health (GCH)-rurality classification systems on the identification of rural-urban health disparities in Aotearoa New Zealand (NZ).

DESIGN

A comparative observational study.

SETTING

NZ; the most recent 5 years of available data on mortality events (2013-2017), hospitalisations and non-admitted hospital patient events (both 2015-2019).

PARTICIPANTS

Numerator data included deaths (n=156 521), hospitalisations (n=13 020 042) and selected non-admitted patient events (n=44 596 471) for the total NZ population during the study period. Annual denominators, by 5-year age group, sex, ethnicity (Māori, non-Māori) and rurality, were estimated from Census 2013 and Census 2018.

PRIMARY AND SECONDARY OUTCOME MEASURES

Primary measures were the unadjusted rural incidence rates for 17 health outcome and service utilisation indicators, using each rurality classification. Secondary measures were the age-sex-adjusted rural and urban incidence rate ratios (IRRs) for the same indicators and rurality classifications.

RESULTS

Total population rural rates of all indicators examined were substantially higher using the GCH compared with the UREP, and for all except paediatric hospitalisations when the UA was applied. All-cause rural mortality rates using the GCH, UA and UREP were 82, 67 and 50 per 10 000 person-years, respectively. Rural-urban all-cause mortality IRRs were higher using the GCH (1.21, 95% CI 1.19 to 1.22), compared with the UA (0.92, 95% CI 0.91 to 0.94) and UREP (0.67, 95% CI 0.66 to 0.68). Age-sex-adjusted rural and urban IRRs were also higher using the GCH than the UREP for all outcomes, and higher than the UA for 13 of the 17 outcomes. A similar pattern was observed for Māori with higher rural rates for all outcomes using the GCH compared with the UREP, and 11 of the 17 outcomes using the UA. For Māori, rural-urban all-cause mortality IRRs for Māori were higher using the GCH (1.34, 95% CI 1.29 to 1.38), compared with the UA (1.23, 95% CI 1.19 to 1.27) and UREP (1.15, 95% CI 1.10 to 1.19).

CONCLUSIONS

Substantial variation in rural health outcome and service utilisation rates were identified with different classifications. Rural rates using the GCH are substantially higher than the UREP. Generic classifications substantially underestimated rural-urban mortality IRRs for the total and Māori populations.

Mortality outcomes and inequities experienced by rural Māori in Aotearoa New Zealand

BACKGROUND

Previous research identified inequities in all-cause mortality between Māori and non-Māori populations. Unlike comparable jurisdictions, mortality rates in rural areas have not been shown to be higher than those in urban areas for either population. This paper uses contemporary mortality data to examine Māori and non-Māori mortality rates in rural and urban areas.

METHODS

A population-level observational study using deidentified routinely collected all-cause mortality, amenable mortality and census data. For each level of the Geographic Classification for Health (GCH), Māori and non-Māori age-sex standardised all-cause mortality and amenable mortality incident rates, Māori:Non-Māori standardised incident rate ratios and Māori rural:urban standardised incident rate ratios were calculated. Age and deprivation stratified rates and rate ratios were also calculated.

FINDINGS

Compared to non-Māori, Māori experience excess all-cause (SIRR 1.87 urban; 1.95 rural) and amenable mortality (SIRR 2.45 urban; 2.34 rural) and in all five levels of the GCH. Rural Māori experience greater all-cause (SIRR 1.07) and amenable (SIRR 1.13) mortality than their urban peers. Māori and non-Māori all-cause and amenable mortality rates increased as rurality increased.

INTERPRETATION

The excess Māori all-cause mortality across the rural: urban spectrum is consistent with existing literature documenting other Māori health inequities. A similar but more pronounced pattern of inequities is observed for amenable mortality that reflects ethnic differences in access to, and quality of, health care. The excess all-cause and amenable mortality experienced by rural Māori, compared to their urban counterparts, suggests that there are additional challenges associated with living rurally.

FUNDING

This work was funded by the Health Research Council of New Zealand (HRC19/488).

Off the beaten path: A scoping review of how 'rural' is defined by the U.S. government for rural health promotion

Background: Given the recognition that the U.S. government lacks a consensus definition of the word rural, the purpose of this scoping review was to uncover how the federal government defines the term and to establish a nuanced understanding of what criterion is used to designate an area as rural.

Methods: Arksey and O’Malley’s framework was used to synthesize, analyze, and summarize the existing literature. A multi-system search was conducted, and articles were screened for eligibility by two independent reviewers using pretested forms.

Results: Initially, 929 articles were screened that used the search terms rural and some variation of the word definition. After eliminating all ineligble studies, 49 documents were included in the final analysis. These documents revealed 33 federal definitions of rural. The majority of definitions centered on either population, population density, or urban integration provisions. Additionally, the analysis showed that the literature could be separated into two categories: how rural was defined in a particular industry or for a specific population and the multiple adverse effects of having multiple definitions of rural.

Conclusion: The discrepancies found in current classification systems reveal the need for a standardized definition of rural. Ultimately, policies centered on securing health care services for rural populations are impacted by whatever definition of rural is used. Failing to establish a gold standard definition of rural could have harmful consequences to the health and wellbeing of the many people living in rural communities across the U.S.

How should we define "rural" when investigating rural tobacco use in the United States?

Purpose: Investigations into rural tobacco-related disparities in the U.S. are hampered by the lack of a standardized approach for identifying the rurality-and, consequently, the urbanicity-of an area. Therefore, the purpose of this study was to compare the most common urban/rural definitions (Census Bureau, OMB, RUCA, and Isolation) and determine which is preferable for explaining the geographic distribution of several tobacco-related outcomes (behavior, receiving a doctor's advice to quit, and support for secondhand smoke policies). Methods: Data came from The Current Population Survey Tobacco Use Supplement. For each tobacco-related outcome, one logistic regression was conducted for each urban/rural measure. Models were then ranked according to their ability to explain the data using Akaike information criterion (AIC). Results: Each definition provided very different estimates for the prevalence of the U.S. population that is considered "rural" (e.g., 5.9% for the OMB, 17.0% for the Census Bureau). The OMB definition was most sensitive at detecting urban/rural differences, followed by the Isolation scale. Both these measures use strict, less-inclusive criteria for what constitutes "rural." Conclusions: Overall, results demonstrate the heterogeneity across urban/rural measures. Although findings do not provide a definitive answer for which urban/rural definition is the best for examining rural tobacco use, they do suggest that the OMB and Isolation measures may be most sensitive to detecting many types of urban/rural tobacco-related disparities. Caveats and implications of these findings for rural tobacco use disparities research are discussed. Efforts such as these to better understand which rural measure is appropriate for which situation can improve the precision of rural substance use research.

Meeting Kids Where They Are At-A Substance Use and Sexual Risk Prevention Program via Telemedicine for African American Girls: Usability and Acceptability Study

BACKGROUND

Rural African American youth lack access to drug and sexual risk-taking prevention programs available in more urban areas. Recent data indicate that rural youth now use substances at higher rates and at younger ages than their urban peers.

OBJECTIVE

This study aims to evaluate the initial usability and acceptability of a low-cost, technology-based approach to delivering effective, culturally tailored, integrated substance use disorder (SUD) and HIV risk behavior prevention programs to African American female youth to inform the use of this intervention via telemedicine for rural youth.

METHODS

Effective SUD prevention strategies and emotion regulation skills were integrated into an existing evidence-based HIV risk reduction program culturally tailored for African American female adolescents-Sisters Informing, Healing, Living, and Empowering (SIHLE)-and delivered to 39 African American female youth via group telehealth. The evaluation of the resulting program, 12-session SIHLEplus, was completed by 27 girls who also completed self-report measures that assessed sexual risk behaviors (eg, number of partners and age of sex initiation), substance use, exposure to traumatic events, and emotion regulation.

RESULTS

The descriptive and qualitative results of the pilot study demonstrate the initial usability and acceptability of delivering evidence-based prevention successfully via telehealth to help address health disparities in this vulnerable population.

CONCLUSIONS

Although more research is needed, the findings from this study suggest that SIHLEplus has demonstrated initial usability and acceptability.

Socio-Demographic Disparities in Gastric Adenocarcinoma: A Population-Based Study

Background: Gastric cancer is one of the leading causes of cancer-related mortality worldwide, accounting for 8.2% of cancer-related deaths. The purpose of this study was to investigate the geographic and sociodemographic disparities in gastric adenocarcinoma patients.

METHODS

We conducted a retrospective study in gastric adenocarcinoma patients between 2004 and 2013. Data were obtained from the National Cancer Data Base (NCDB). Univariate and multivariable analyses were performed to evaluate overall survival (OS). Socio-demographic factors, including the location of residence [metro area (MA) or rural area (RA)], gender, race, insurance status, and marital status, were analyzed.

RESULTS

A total of 88,246 [RA, N = 12,365; MA, N = 75,881] patients were included. Univariate and multivariable analysis showed that RA had worse OS (univariate HR = 1.08, p < 0.01; multivariate HR = 1.04; p < 0.01) compared to MA. When comparing different racial backgrounds, Native American and African American populations had poorer OS when compared to the white population; however, Asian patients had a better OS (multivariable HR = 0.68, p < 0.01). From a quality of care standpoint, MA patients had fewer median days to surgery (28 vs. 33; p < 0.01) with fewer positive margins (6.3% vs. 6.9%; p < 0.01) when compared to RA patients. When comparing the extent of lymph node dissection, 19.6% of MA patients underwent an extensive dissection (more than or equal to 15 lymph nodes) in comparison to 18.7% patients in RA (p = 0.03).

DISCUSSION

This study identifies socio-demographic disparities in gastric adenocarcinoma. Future health policy initiatives should focus on equitable allocation of resources to improve the outcomes.

Geographic and demographic features of neuroendocrine tumors in the United States of America: A population-based study

BACKGROUND

The incidence of neuroendocrine tumors (NETs) is rapidly rising. There are very few studies investigating the role of sociodemographic factors in NETs. This study was aimed at examining how geographic and sociodemographic characteristics shape outcomes in the NET population.

METHODS

A retrospective analysis using the Surveillance, Epidemiology, and End Results database was performed, and the NET patient population from 1973 to 2015 was studied. Univariate and multivariable analyses were performed to evaluate patients' disease-specific survival (DSS) and overall survival (OS). Geographic and sociodemographic factors, including the location of residence (urban area [UA] vs rural area [RA]), sex, race, insurance status, and marital status, were included in the analysis.

RESULTS

A total of 53,034 patients (5517 in RAs and 47,517 in UAs) were included in the analysis. The incidence of NETs was found to be rising in both RAs and UAs but more rapidly in RAs (with the highest incidence in 2006-2015: 5.93 per 100,000 in RAs vs 4.10 per 100,000 in UAs). Patients from RAs presented at advanced stages in comparison with patients from UAs (regional, 18% vs 16%; distant, 15% vs 13%; P < .01). In the multivariable model, RA patients had a trend toward poorer OS (hazard ratio, 1.05; P = .053) in comparison with UA patients. The multivariable analysis showed significantly worse DSS and OS for uninsured, single, and male patients in comparison with insured, married, and female patients, respectively.

CONCLUSIONS

This study has identified sociodemographic disparities in NET outcomes. Access to health care could be a potential contributing factor, although differences in environmental exposure, health behavior, and tumor biology could also be responsible.

Repeat Human Immunodeficiency Virus Testing by Transmission Risk Group and Rurality of Residence in North Carolina

BACKGROUND

Understanding of repeat human immunodeficiency virus (HIV) testing (RHT) is limited and the impact of rural residence as a potential barrier to RHT is unknown. Rural populations are of particular interest in the Southeastern United States because of their disproportionate HIV burden.

METHODS

We used HIV surveillance data from publicly funded HIV testing sites in North Carolina to assess repeat testing by transmission risk group and residential rurality in a retrospective cohort study. Linear binomial regression models were used to estimate adjusted, 1-year cumulative incidences and cumulative incidence differences comparing RHT within transmission risk populations by level of rurality.

RESULTS

In our total study population of 600,613 persons, 19,275 (3.2%) and 9567 (1.6%) self-identified as men who have sex with men (MSM) and persons who inject drugs (PWID), respectively. A small minority, 13,723 (2.3%) resided in rural ZIP codes. Men who have sex with men were most likely to repeat test (unadjusted, 1-year cumulative incidence after an initial negative test, 16.4%) compared with PWID (13.2%) and persons who did not identify as either MSM or PWID (13.6%). The greatest effect of rurality was within PWID; the adjusted, 1-year cumulative incidence of RHT was 6.4 (95% confidence interval, 1.4-11.4) percentage points higher among metropolitan versus rural PWID.

CONCLUSIONS

One-year cumulative incidence of RHT was low among all clients of publicly funded HIV testing sites in North Carolina, including MSM and PWID for whom annual testing is recommended. Our findings suggest a need for public health efforts to increase access to and support for RHT, particularly among rural PWID.

The Continuum of HIV Care in Rural Communities in the United States and Canada: What Is Known and Future Research Directions

The nature of the HIV epidemic in the United States and Canada has changed with a shift toward rural areas. Socioeconomic factors, geography, cultural context, and evolving epidemics of injection drug use are coalescing to move the epidemic into locations where populations are dispersed and health care resources are limited. Rural-urban differences along the care continuum demonstrate the implications of this sociogeographic shift. Greater attention is needed to build a more comprehensive understanding of the rural HIV epidemic in the United States and Canada, including research efforts, innovative approaches to care delivery, and greater community engagement in prevention and care.

Adherence among rural HIV-infected patients in the deep south: a comparison between single-tablet and multi-tablet once-daily regimens

BACKGROUND

Once-daily (QD), combination antiretroviral therapy (ART) can impact the willingness and ability of patients to take medications as directed. The impact of antiretroviral (ARV) drug adherence influenced by single-tablet (STR) versus multi-tablet regimens (MTR) among patients enrolled in the AIDS Drug Assistance Program (ADAP) in a rural environment has not yet been assessed.

MATERIAL AND METHODS

A retrospective chart review evaluated adherence and outcomes in adult HIV-infected patients enrolled in the ADAP at 2 ambulatory clinics in the Southeast, taking either a QD STR (efavirenz [EFV]/emtricitabine/tenofovir [TDF]) or a QD protease inhibitor (PI)-based, MTR (atazanavir [ATV], ritonavir [RTV], and emtricitabine/TDF) by evaluating pharmacy refill records, patient self-reported adherence, and virologic response.

RESULTS

A total of 389 patient records were analyzed (STR, n = 165 versus MTR, n = 224). There were more males, a higher percentage of treatment-naive patients, and more patients with a baseline CD4 count of >200 cells/mm(3) in the MTR group. Based on refill records, more patients on MTR were >90% adherent (61.6% versus 51.5%, P = .047). In a multivariable analysis, being treatment experienced was a negative predictor (odds ratio [OR] = 0.48, 0.29-0.78) for adherence. Regimen choice was not associated with adherence. More patients taking MTR were virologically suppressed at the end of the observation period. Regardless of the regimen, being >90% adherent was a significant predictor of virologic suppression (OR = 3.51, 1.98-6.23).

CONCLUSION

Treatment-experienced patients enrolled in ADAP are less likely to be adherent. A QD PI-based MTR may result in comparable adherence to an STR in a rural HIV-infected population.