Disparities in the change of cervical cancer mortality rate between urban and rural Chiang Mai in the era of universal health care and the Thai national screening program.

BACKGROUND: The Ministry of Public Health of Thailand established universal health coverage (UHC) in 2002, which also included national-level screening for cervical cancer in 2005. This study examined the changes in mortality of cervical cancer in rural and urban areas in Chiang Mai Province of northern Thailand during the era of UHC and the immediately preceding period. METHODS: Data of cervical cancer patients in Chiang Mai in northern Thailand, who died from 1998 through 2012, were used to calculate the change in age-standardized rates of mortality (ASMR) using a joinpoint regression model and to calculate estimated annual percent changes (APC). The change in mortality rate by age groups along with changes by geographic area of residence were determined. RESULTS: Among the 1177 patients who died from cervical cancer, 13(1%), 713 (61%) and 451 (38%) were in the young age group (aged < 30), the screening target group (aged 30-59) and the elderly group (aged ≥60), respectively. The mortality rate among women aged 30-59 significantly declined by 3% per year from 2003 through 2012 (p < 0.001). By area of residence, the mortality rate in women targeted by the screening program significantly decreased in urban areas but remained stable in more rural areas, APC of - 7.6 (95% CI: - 12.1 to - 2.8) and APC of 3.7 (95% CI: - 2.1 to 9.9), respectively. CONCLUSION: The UHC and national cervical cancer screening program in Thai women may have contributed to the reduction of the mortality rate of cervical cancer in the screening target age group. However, this reduction was primarily in urban areas of Chiang Mai, and there was no significant impact on mortality in more rural areas. These results suggest that the reasons for this disparity need to be further explored to equitably increase access to cervical cancer services of the UHC.

The cumulation of ill health and low agency in socially excluded city dwellers in the Netherlands: how to better identify high-risk/high-need population segments with public health survey data.

BACKGROUND: Population segmentation and risk stratification are important strategies for allocating resources in public health, health care and social care. Social exclusion, which is defined as the cumulation of disadvantages in social, economic, cultural and political domains, is associated with an increased risk of health problems, low agency, and as a consequence, a higher need for health and social care. The aim of this study is to test social exclusion against traditional social stratifiers to identify high-risk/high-need population segments. METHODS: We used data from 33,285 adults from the 2016 Public Health Monitor of four major cities in the Netherlands. To identify at-risk populations for cardiovascular risk, cancer, low self-rated health, anxiety and depression symptoms, and low personal control, we compared relative risks (RR) and population attributable fractions (PAF) for social exclusion, which was measured with the Social Exclusion Index for Health Surveys (SEI-HS), and four traditional social stratifiers, namely, education, income, labour market position and migration background. RESULTS: The analyses showed significant associations of social exclusion with all the health indicators and personal control. Particular strong RRs were found for anxiety and depression symptoms (7.95) and low personal control (6.36), with corresponding PAFs of 42 and 35%, respectively. Social exclusion was significantly better at identifying population segments with high anxiety and depression symptoms and low personal control than were the four traditional stratifiers, while the two approaches were similar at identifying other health problems. The combination of social exclusion with a low labour market position (19.5% of the adult population) captured 67% of the prevalence of anxiety and depression symptoms and 60% of the prevalence of low personal control, as well as substantial proportions of the other health indicators. CONCLUSIONS: This study shows that the SEI-HS is a powerful tool for identifying high-risk/high-need population segments in which not only ill health is concentrated, as is the case with traditional social stratifiers, but also a high prevalence of anxiety and depression symptoms and low personal control are present, in addition to an accumulation of social problems. These findings have implications for health care practice, public health and social interventions in large cities.

Metodología de la Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19.

Objetivo. Describir el diseño y los resultados de campo de la Encuesta Nacional de Salud y Nutrición (Ensanut) 2020 so-bre Covid-19. Material y métodos. La Ensanut Covid-19 es una encuesta probabilística de hogares. En este artículo se describen los siguientes elementos del diseño: alcance, muestreo, medición, inferencia y logística. Resultados. Se obtuvieron 10 216 entrevistas de hogar completas y 9 464 resultados sobre seropositividad a SARS-CoV-2. La tasa de respuesta de hogar fue 80% y la de prueba de seropositividad de 44%. Conclusiones. El diseño probabilístico de la Ensa-nut Covid-19 permite hacer inferencias estadísticas válidas sobre parámetros de interés para la salud pública a nivel nacional y regional; en particular, permitirá hacer inferencias de utilidad práctica sobre la prevalencia de seropositividad a SARS-CoV-2 en México. Además, la Ensanut Covid-19 podrá ser comparada con Ensanut previas para identificar potenciales cambios en los estados de salud y nutrición de la población mexicana.

Trends in mental health inequalities in urban Canada.

OBJECTIVES: Canadians do not all enjoy equal levels of health. The presence of income-related health inequalities has been well established in Canada, but there is a lack of consistent reporting of mental health inequalities in Canada's largest cities. This study reports the prevalence and inequalities in mental health outcomes at the city, provincial, and national levels over time. METHODS: Self-reported poor mental health, life stress, and physician-diagnosed self-reported mood and anxiety disorder from the Canadian Community Health Survey were pooled over five-year intervals and combined with neighbourhood income information from the Canadian Census. First, prevalence rates were calculated for each interval at the neighbourhood level for urban communities. Second, the distributions of these neighbourhood rates were summarized at the city level and for Canada as a whole using overall prevalence rates and concentration indices of inequality. Finally, trends in these city- and country-level outcomes were also explored. RESULTS: At the national level, starting from 2001 to 2005, the prevalence of poor mental health (27.9%), mood disorder (7.3%), and anxiety disorder (6.8%) had significantly increased by 2011-2015. Inequalities were present in 2001-2005 and worsened over time. The prevalence rate at the national level of life stress was 66.6% in 2001-2005 and decreased over time. CONCLUSION: The large and increasing values of inequalities and the difference in prevalence rates and inequalities in cities highlight the necessity for mental disorder-specific data and for city-level analysis of inequalities. The next steps in reducing inequalities involve deconstructing the health inequalities, and continued monitoring.

RéSUMé: OBJECTIFS: Les Canadiens ne bénéficient pas tous du même niveau de santé. L'existence d'inégalités de santé liées au revenu est bien établie au Canada mais la façon dont sont rapportées les inégalités de santé mentale dans les plus grandes villes canadiennes manque d'uniformité. Cette étude présente la prévalence et les inégalités dans les résultats de santé mentale aux niveaux urbain, provincial et national sur une période de temps. MéTHODES: La mauvaise santé mentale auto-rapportée, le stress de la vie, les troubles de l'humeur et de l'anxiété diagnostiqués par un médecin et auto-rapportés dans l'enquête sur la santé des collectivités canadiennes, ont été amalgamés par intervalles de 5 ans, et combinés avec des informations sur le revenu par quartier tiré du recensement canadien. D'abord les taux de prévalence pour chaque intervalle ont été calculés au niveau des quartiers dans les communautés urbaines. Deuxièmement les distributions de ces taux par quartiers ont été groupées par ville et au niveau du Canada tout entier en utilisant les taux de prévalence globale et les indices de concentration d'inégalité. Finalement les tendances dans les résultats obtenus à l'échelle des villes et du pays ont été explorées. RéSULTATS: Au niveau national en partant de 2001­2005, la prévalence de la mauvaise santé mentale (27,9 %), des troubles de l'humeur (7,3 %) et des troubles de l'anxiété (6,8 %) ont augmenté de façon significative dès 2011­2015. Ces inégalités étaient déjà présentes en 2001­2005 et ont empiré au fil du temps. Le taux de prévalence du stress de vie au niveau national était de 66,6 % en 2001­2005 et a diminué au fil du temps. CONCLUSION: Le niveau élevé et croissant des inégalités et la différence au niveau des taux de prévalence et des inégalités dans les villes soulignent qu'il est nécessaire d'avoir des données spécifiques sur les troubles mentaux et des analyses d'inégalités à l'échelle de la ville. Les prochaines étapes pour réduire les inégalités comprennent la déconstruction des inégalités de santé et une surveillance continuelle.

Linking Data on Constituent Health with Elected Officials' Opinions: Associations Between Urban Health Disparities and Mayoral Officials' Beliefs About Health Disparities in Their Cities.

Policy Points Mayoral officials' opinions about the existence and fairness of health disparities in their city are positively associated with the magnitude of income-based life expectancy disparity in their city. Associations between mayoral officials' opinions about health disparities in their city and the magnitude of life expectancy disparity in their city are not moderated by the social or fiscal ideology of mayoral officials or the ideology of their constituents. Highly visible and publicized information about mortality disparities, such as that related to COVID-19 disparities, has potential to elevate elected officials' perceptions of the severity of health disparities and influence their opinions about the issue. CONTEXT: A substantive body of research has explored what factors influence elected officials' opinions about health issues. However, no studies have assessed the potential influence of the health of an elected official's constituents. We assessed whether the magnitude of income-based life expectancy disparity within a city was associated with the opinions of that city's mayoral official (i.e., mayor or deputy mayor) about health disparities in their city. METHODS: The independent variable was the magnitude of income-based life expectancy disparity in US cities. The magnitude was determined by linking 2010-2015 estimates of life expectancy and median household income for 8,434 census tracts in 224 cities. The dependent variables were mayoral officials' opinions from a 2016 survey about the existence and fairness of health disparities in their city (n = 224, response rate 30.3%). Multivariable logistic regression was used to adjust for characteristics of mayoral officials (e.g., ideology) and city characteristics. FINDINGS: In cities in the highest income-based life expectancy disparity quartile, 50.0% of mayoral officials "strongly agreed" that health disparities existed and 52.7% believed health disparities were "very unfair." In comparison, among mayoral officials in cities in the lowest disparity quartile 33.9% "strongly agreed" that health disparities existed and 22.2% believed the disparities were "very unfair." A 1-year-larger income-based life expectancy disparity in a city was associated with 25% higher odds that the city's mayoral official would "strongly agree" that health disparities existed (odds ratio [OR] = 1.25; P = .04) and twice the odds that the city's mayoral official would believe that such disparities were "very unfair" (OR = 2.24; P <.001). CONCLUSIONS: Mayoral officials' opinions about health disparities in their jurisdictions are generally aligned with, and potentially influenced by, information about the magnitude of income-based life expectancy disparities among their constituents.

Influence of Geographic Access on Surgical Center Readmissions After Index Congenital Heart Surgery.

OBJECTIVE: To assess the impact of geographic access to surgical center on readmission risk and burden in children after congenital heart surgery. STUDY DESIGN: Children <6 years old at discharge after congenital heart surgery (Risk Adjustment for Congenital Heart Surgery-1 score 2-6) were identified using Pediatric Health Information System data (46 hospitals, 2004-2015). Residential distance from the surgery center, calculated using ZIP code centroids, was categorized as <15, 15-29, 30-59, 60-119, and ≥120 miles. Rurality was defined using rural-urban commuting area codes. Geographic risk factors for unplanned readmissions to the surgical center and associated burden (total hospital length of stay [LOS], costs, and complications) were analyzed using multivariable regression. RESULTS: Among 59 696 eligible children, 19 355 (32%) had ≥1 unplanned readmission. The median LOS was 9 days (IQR 22) across the entire cohort. In those readmitted, median total costs were $31 559 (IQR $90 176). Distance from the center was inversely related but rurality was positively related to readmission risk. Among those readmitted, increased distance was associated with longer LOS, more complications, and greater costs. Compared with urban patients, highly rural patients were more likely to have an unplanned readmission but had fewer average readmission days. CONCLUSIONS: Geographic measures of access differentially affect readmission to the surgery center. Increased distance from the center was associated with fewer unplanned readmissions but more complications. Among those readmitted, the most isolated patients had the greatest readmission costs. Understanding the contribution of geographic access will aid in developing strategies to improve care delivery to this population.

Estimated annual prevalence, medical service utilization and direct costs of lung cancer in urban China.

BACKGROUND: Evidence-based policy making for delivering affordable lung cancer care relies on the breadth, depth and quality of knowledge of its treatment costs. This study estimates the annual prevalence, medical service utilization and direct treatment costs of lung cancer in urban China. MATERIALS AND METHODS: Using claim data from China's urban basic medical insurance between 2013 and 2016, we constructed a nationally representative sample of lung cancer patients in urban China. Weighted descriptive analyses, Poisson regressions and generalized linear modelling were used to analyse lung cancer medical service utilization and costs and their associations with patient characteristics. RESULTS: In urban China, the annual prevalence of lung cancer was 87.65/100000, with nearly 0.65% of total health expenditures of urban residents spent on lung cancer treatments. Weighted average annual total medical costs of lung cancer was RMB33.78 (US$5.36) thousand, with annual out-of-pocket costs of RMB10.26 (US$1.63) thousand. The average yearly number of lung cancer-related outpatient visits was 2.42 and inpatient admissions was 2.07, with an average cost of RMB0.75 (US$0.12) thousand for outpatients and RMB 15.67 (US$2.49) thousand for inpatients. Inpatient expenses were the major component (95%) of lung cancer medical costs, with roughly 67% of inpatient services occurring in high-level tertiary hospitals. Medical care utilization and direct medical costs were associated with sex, age and insurance status. Western medicine costs were the major contributor (39.4%) to average lung cancer-related medical costs. CONCLUSION: Lung cancer imposed a significant economic burden on China's health system and a financial cost on lung cancer sufferers and their families. Specific policies are required to efficiently allocate health resources, contain health expenditure and decrease the individual financial burden of lung cancer.

Demographic and Socioeconomic Factors Associated with Urinary Stone Disease Management in a Large Urban US Population.

OBJECTIVE: To determine the influence of socioeconomic parameters on urinary stone surgeries. METHODS: A retrospective cohort study analyzed patients undergoing urolithiasis surgery in our community network hospital in North Carolina from 2005-2018. RESULTS: Of 7731 patients, 2160 (28%), 5,174 (67%), and 397 (5%) underwent SWL, URS, and PCNL, respectively. A higher proportion of Whites underwent URS (67%) and SWL (74%) than PCNL (56%); whereas a larger percentage of Blacks underwent PCNL (24%) than URS (20%) and SWL (15%) groups (P <.001). Private insurance payers were greater in the SWL (95%) group than URS (80%) and PCNL (81%) (P <.001). The distribution of median income was significantly different amongst the 3 surgeries with higher income classes overutilizing SWL and underutilizing PCNL compared to lower income classes (P <.001). In linear regression modeling, the proportion of SWL in a postal code was positively associated with median income (R2=0.55, P <.001); URS and PCNL were negatively associated with median income (R2=0.40, P <.001 and R2=0.41, P <.001, respectively). On multivariate logistic regression modeling, Blacks were significantly more likely to undergo PCNL than Whites (aOR 1.32, 95% CI 1.01-1.74 P <.050). Private insurance payers were more likely to undergo SWL (aOR 11.0, 95% CI 7.26-16.8, P <.0001) than public insurance payers. Patients in higher median income brackets are significantly less likely to undergo PCNL than those in the <$40,000 income bracket (P <.0001). CONCLUSION: Our study suggests that socioeconomic status impacts urolithiasis surgical management, underscoring disparity recognition importance in endourologic care and ensuring appropriate surgical care regardless of socioeconomic status.

Evaluating the Prevalence of Pelvic Floor Disorders in Women in Nonmetropolitan Communities.

INTRODUCTION: Prevalence rates of pelvic floor disorders in women in nonmetropolitan communities compared with metropolitan communities are unknown. We hypothesize that the rates are higher in women in nonmetropolitan communities. METHODS: We accessed the health survey data from the NHANES (National Health and Nutrition Examination Survey) from 2009 to 2010 divided by geocodes into nonmetropolitan (<50,000 inhabitants) and metropolitan communities (>50,000). Responses were analyzed for the following conditions: urinary incontinence and nocturia, bowel urgency and anal incontinence, and symptomatic vaginal bulge. Age-adjusted prevalence rates were estimated using logistic regression. RESULTS: The 2009-2010 NHANES survey was completed nationwide by 302 women in nonmetropolitan communities and 2201 women in metropolitan communities. Overall, prevalence rates of PFDs did not significantly differ between groups. Prevalence rates of urinary incontinence and nocturia at least weekly were similar between metropolitan and nonmetropolitan groups (16.2% vs 14.6%, P = 0.47), with stress incontinence being more common than urgency and other types of incontinence (40% vs 23% and 8%). Women in metropolitan communities reported more bowel urgency than women in nonmetropolitan communities (33.3% vs 26.8%, P = 0.02); however, prevalence rates between both groups are similar with regards to anal incontinence at least once a month or more (9.2% vs 9.0%, P = 0.76). Prolapse symptoms were also not significantly different between the groups (2.4% in both). There was an increase in prevalence in each of the pelvic floor disorder symptoms with age. CONCLUSIONS: Pelvic floor disorders are prevalent and increase with age in women in nonmetropolitan communities at rates similar to women in metropolitan communities.

Premature mortality due to air pollution in European cities: a health impact assessment.

BACKGROUND: Ambient air pollution is a major environmental cause of morbidity and mortality worldwide. Cities are generally hotspots for air pollution and disease. However, the exact extent of the health effects of air pollution at the city level is still largely unknown. We aimed to estimate the proportion of annual preventable deaths due to air pollution in almost 1000 cities in Europe. METHODS: We did a quantitative health impact assessment for the year 2015 to estimate the effect of air pollution exposure (PM2·5 and NO2) on natural-cause mortality for adult residents (aged ≥20 years) in 969 cities and 47 greater cities in Europe. We retrieved the cities and greater cities from the Urban Audit 2018 dataset and did the analysis at a 250 m grid cell level for 2015 data based on the global human settlement layer residential population. We estimated the annual premature mortality burden preventable if the WHO recommended values (ie, 10 µg/m3 for PM2·5 and 40 µg/m3 for NO2) were achieved and if air pollution concentrations were reduced to the lowest values measured in 2015 in European cities (ie, 3·7 µg/m3 for PM2·5 and 3·5 µg/m3 for NO2). We clustered and ranked the cities on the basis of population and age-standardised mortality burden associated with air pollution exposure. In addition, we did several uncertainty and sensitivity analyses to test the robustness of our estimates. FINDINGS: Compliance with WHO air pollution guidelines could prevent 51 213 (95% CI 34 036-68 682) deaths per year for PM2·5 exposure and 900 (0-2476) deaths per year for NO2 exposure. The reduction of air pollution to the lowest measured concentrations could prevent 124 729 (83 332-166 535) deaths per year for PM2·5 exposure and 79 435 (0-215 165) deaths per year for NO2 exposure. A great variability in the preventable mortality burden was observed by city, ranging from 0 to 202 deaths per 100 000 population for PM2·5 and from 0 to 73 deaths for NO2 per 100 000 population when the lowest measured concentrations were considered. The highest PM2·5 mortality burden was estimated for cities in the Po Valley (northern Italy), Poland, and Czech Republic. The highest NO2 mortality burden was estimated for large cities and capital cities in western and southern Europe. Sensitivity analyses showed that the results were particularly sensitive to the choice of the exposure response function, but less so to the choice of baseline mortality values and exposure assessment method. INTERPRETATION: A considerable proportion of premature deaths in European cities could be avoided annually by lowering air pollution concentrations, particularly below WHO guidelines. The mortality burden varied considerably between European cities, indicating where policy actions are more urgently needed to reduce air pollution and achieve sustainable, liveable, and healthy communities. Current guidelines should be revised and air pollution concentrations should be reduced further to achieve greater protection of health in cities. FUNDING: Spanish Ministry of Science and Innovation, Internal ISGlobal fund.

Survey of the Health of Urban Residents: a Community-Driven Assessment of Conditions Salient to the Health of Historically Excluded Populations in the USA.

BACKGROUND: Data from the Survey of the Health of Urban Residents (SHUR) identified connections between police brutality and medical mistrust, generating significant media, policy, and research attention. Amidst intersecting crises of COVID-19, racism, and police brutality, this report describes survey development and data collection procedures for the SHUR. BASIC PROCEDURES: We conducted focus groups with Black men, Latinxs, and immigrants in Allentown, Pennsylvania. Findings were used to develop and refine measures of conditions salient to the health of urban residents across the country. Quota sampling was employed; oversampling people of color and persons whose usual source of care was not a doctor's office. MAIN FINDINGS: Non-Hispanic Whites made up just under two thirds of the sample (63.65%, n = 2793). Black/African American respondents accounted for 14.2% of the sample (n = 623), while 11.62% (n = 510) were Latinx. Only 43.46% of respondents reported a doctor's office as their usual source of care. Novel measures of population-specific stressors include a range of negative encounters with the police, frequency of these encounters, and respondents' assessments of whether the encounters were necessary. SHUR assessed the likelihood of calling the police if there is a problem, worries about incarceration, and cause-specific stressors such as race-related impression management. PRINCIPAL CONCLUSIONS: SHUR (n = 4389) is a useful resource for researchers seeking to address the health implications of experiences not frequently measured by national health surveillance surveys. It includes respondents' zip codes, presenting the opportunity to connect these data with zip code-level health system, social and economic characteristics that shape health beyond individual factors.

Using an urban child health index to detect intra-urban disparities in Sweden.

AIMS: Children's health is affected by the environment in which they live and grow. Within Sweden's urban areas, several city districts can be classified as socio-economically disadvantaged. This article describes the creation of a child health index to visualise disparities within and between Sweden's three major cities, and how these relate to indicators of demography and socio-economic status. METHODS: Data were collected for seven child health indicators and seven socio-economic and demographic indicators from the Swedish Pregnancy Register, Child Health Services and Statistics Sweden. An index was created from the health indicators using principal component analysis, generating weights for each indicator. Correlations between index outcomes and socio-economic and demographic indicators were analysed using linear regression. RESULTS: The largest variance in index values could be seen in Stockholm followed by Malmö, and the poorest mean index outcome was seen in Malmö followed by Gothenburg. The largest intra-urban percentage range in health indicators could be seen for tobacco exposure at 0-4 weeks (0.8-33.9%, standard deviation (SD)=8.8%) and, for the socio-economic and demographic indicators, foreign background (19.9-88.5%, SD=19.8%). In the multivariate analysis, index outcomes correlated most strongly with foreign background (R2=0.364, p=0.001). CONCLUSIONS: Children's health follows a social gradient and a pattern of ethnic segregation in Swedish cities, where it can be visualised using an index of child health. The resulting map highlights the geographical distribution of these disparities, and displays in which city districts child health interventions may be most needed.

Neighborhood's locality, road types, and residents' multimorbidity: evidence from China's middle-aged and older adults.

BACKGROUND: Neighborhood factors have gained increasing attention, while the association between the neighborhood's characteristics and multimorbidity has not been clarified. In this study, we aim to depict variations in the number of non-communicable chronic diseases (NCDs) as a function of urban vs. rural settings and road types. METHODS: The present cross-sectional study derived data from the China Health and Retirement Longitudinal Study 2011 National Baseline Survey. Negative binomial regression with clustered robust standard errors was performed to analyze variations in the number of NCDs among 13,414 Chinese middle-aged and older adults. Logistic regression models were employed to investigate the association between neighborhood-level characteristics and each NCD, respectively. RESULTS: First, over 65% of subjects had at least one NCDs, and over 35% had multimorbidity. Arthritis (33.08%), hypertension (24.54%), and digestive disease (21.98%) were the most prevalent NCDs. Urban vs. rural differences in multimorbidity were fully explained by neighborhood clustering variations (IRR = 1.02, 95% CI, 0.95-1.10). Living with paved roads was associated with a smaller number of NCDs relative to living with unpaved roads (IRR = 0.86, 95% CI, 0.78-0.95). Results from subgroup analyses suggested that in comparison with those living with unpaved roads, individuals living with paved roads respectively had lower odds of chronic lung disease (OR = 0.76, 95% CI, 0.63-0.93), chronic liver disease (OR = 0.74, 95% CI, 0.55-0.99), chronic kidney disease (OR = 0.68, 95% CI, 0.51-0.89), digestive disease (OR = 0.82, 95% CI, 0.69-0.97), arthritis or rheumatism (OR = 0.69, 95% CI, 0.55-0.87), and asthma (OR = 0.67, 95% CI, 0.51-0.88). CONCLUSIONS: Urban vs. rural disparities in multimorbidity appeared to result from within-neighborhoods characteristics. The improvement in neighborhood-level characteristics, such as road pavement, holds promise to alleviate the increasing disease burden of chronic diseases.

Pre-Pregnancy Hypertension Among Women in Rural and Urban Areas of the United States.

BACKGROUND: Rates of maternal mortality are increasing in the United States with significant rural-urban disparities. Pre-pregnancy hypertension is a well-established risk factor for adverse maternal and offspring outcomes. OBJECTIVES: The purpose of this study was to describe trends in maternal pre-pregnancy hypertension among women in rural and urban areas in 2007 to 2018 in order to inform community-engaged prevention and policy strategies. METHODS: We performed a nationwide, serial cross-sectional study using maternal data from all live births in women age 15 to 44 years between 2007 and 2018 (CDC Natality Database). Rates of pre-pregnancy hypertension were calculated per 1,000 live births overall and by urbanization status. Subgroup analysis in standard 5-year age categories was performed. We quantified average annual percentage change using Joinpoint Regression and rate ratios (95% confidence intervals [CIs]) to compare yearly rates between rural and urban areas. RESULTS: Among 47,949,381 live births to women between 2007 and 2018, rates of pre-pregnancy hypertension per 1,000 live births increased among both rural (13.7 to 23.7) and urban women (10.5 to 20.0). Two significant inflection points were identified in 2010 and 2016, with highest annual percentage changes between 2016 and 2018 in rural and urban areas. Although absolute rates were lower in younger compared with older women in both rural and urban areas, all age groups experienced similar increases. The rate ratios of pre-pregnancy hypertension in rural compared with urban women ranged from 1.18 (95% CI: 1.04 to 1.35) for ages 15 to 19 years to 1.51 (95% CI: 1.39 to 1.64) for ages 40 to 44 years in 2018. CONCLUSIONS: Maternal burden of pre-pregnancy hypertension has nearly doubled in the past decade and the rural-urban gap has persisted.

Assessing Urban Health Inequities through a Multidimensional and Participatory Framework: Evidence from the EURO-HEALTHY Project.

Urban health inequities often reflect and follow the geographic patterns of inequality in the social, economic and environmental conditions within a city-the so-called determinants of health. Evidence of patterns within these conditions can support decision-making by identifying where action is urgent and which policies and interventions are needed to mitigate negative impacts and enhance positive impacts. Within the scope of the EU-funded project EURO-HEALTHY (Shaping EUROpean policies to promote HEALTH equitY), the City of Lisbon was selected as a case study to apply a multidimensional and participatory assessment approach of urban health whose purpose was to inform the evaluation of policies and interventions with potential to address local health gaps. In this paper, we present the set of indicators identified as drivers of urban health inequities within the City of Lisbon, exploring the added value of using a spatial indicator framework together with a participation process to orient a place-based assessment and to inform policies aimed at reducing health inequities. Two workshops with a panel of local stakeholders from health and social care services, municipal departments (e.g. urban planning, environment, social rights and education) and non-governmental and community-based organizations were organized. The aim was to engage local stakeholders to identify locally critical situations and select indicators of health determinants from a spatial equity perspective. To support the analysis, a matrix of 46 indicators of health determinants, with data disaggregated at the city neighbourhood scale, was constructed and was complemented with maps. The panel identified critical situations for urban health equity in 28 indicators across eight intervention axes: economic conditions, social protection and security; education; demographic change; lifestyles and behaviours; physical environment; built environment; road safety and healthcare resources and performance. The geographical distribution of identified critical situations showed that all 24 city neighbourhoods presented one or more problems. A group of neighbourhoods systematically perform worse in most indicators from different intervention axes, requiring not only priority action but mainly a multi- and intersectoral policy response. The indicator matrices and maps have provided a snapshot of urban inequities across different intervention axes, making a compelling argument for boosting intersectoral work across municipal departments and local stakeholders in the City of Lisbon. This study, by integrating local evidence in combination with social elements, pinpoints the importance of a place-based approach for assessing urban health equity.

Impacts of Gentrification on Health in the US: a Systematic Review of the Literature.

Gentrification in the largest 50 US cities has more than doubled since the 1990s. The process of gentrification can bring about improved neighborhood conditions, reduced rates of crime, and property value increases. At the same time, it can equally foster negative conditions associated with poorer health outcomes, such as disrupted social networks from residential displacement and increases in stress. While neighborhood environment is consistently implicated in health outcomes research, gentrification is rarely conceptualized as a public health issue. Though research on gentrification is growing, empirical studies evaluating the health impacts of gentrification in the US are poorly understood. Here we systematically review US population-based empirical studies examining relationships between gentrification and health. Electronic databases (PubMed, Embase, CINAHL, PsycINFO, Scopus, Web of Science, and Academic Search Complete) were searched using a combination of terms to identify peer-reviewed studies published on or before July 9, 2018, reporting associations between gentrification and health. Study title and abstract screenings were followed by full-text review of all studies meeting the following inclusion criteria of: ≥ 1 quantitative measure of association for a health outcome, within the context of gentrification; peer-reviewed research; located in the US; and English language. Of 8937 studies identified, 6152 underwent title and abstract screening, and 50 studies underwent full-text screening, yielding six studies for review. Gentrification exposure measures and health outcomes examined varied widely. Most studies reported little to no overall association between gentrification and health outcomes; however, gentrification was repeatedly associated with undesirable health effects among Black and economically vulnerable residents. Despite seemingly overall null associations between gentrification and health, evidence suggests that gentrification may negatively impact the health of certain populations, particularly Black and low-income individuals. Complexities inherent in operationalizing gentrification point toward the need for validated measures. Additionally, understanding how gentrification-health associations differ across health endpoints, race/ethnicities, socioeconomic status, and life course can provide insight into whether this process contributes to urban inequality and health disparities. As gentrification occurs across the US, it is important to understand how this process impacts health. While aging cities reinvest in the revitalization of communities, empirical research examining relationships between gentrification and health can help inform policy decisions.

Expect delays: poor connections between rural and urban health systems challenge multidisciplinary care for rural Americans with diabetic foot ulcers.

BACKGROUND: Rural Americans with diabetic foot ulcers (DFUs) face a 50% increased risk of major amputation compared to their urban counterparts. We sought to identify health system barriers contributing to this disparity. METHODS: We interviewed 44 participants involved in the care of rural patients with DFUs: 6 rural primary care providers (PCPs), 12 rural specialists, 12 urban specialists, 9 support staff, and 5 patients/caregivers. Directed content analysis was performed guided by a conceptual model describing how PCPs and specialists collaborate to care for shared patients. RESULTS: Rural PCPs reported lack of training in wound care and quickly referred patients with DFUs to local podiatrists or wound care providers. Timely referrals to, and subsequent collaborations with, rural specialists were facilitated by professional connections. However, these connections often were lacking between rural providers and urban specialists, whose skills were needed to optimally treat patients with high acuity ulcers. Urban referrals, particularly to vascular surgery or infectious disease, were stymied by 1) time-consuming processes, 2) negative provider interactions, and 3) multiple, disconnected electronic health record systems. Such barriers ultimately detracted from rural PCPs' ability to focus on medical management, as well as urban specialists' ability to appropriately triage referrals due to lacking information. Subsequent collaboration between providers also suffered as a result. CONCLUSIONS: Poor connections across rural and urban healthcare systems was described as the primary health system barrier driving the rural disparity in major amputations. Future interventions focusing on mitigating this barrier could reduce the rural disparity in major amputations.

Regional and patient-related factors influencing the willingness to use general practitioners as coordinators of the treatment in northern Germany - results of a cross-sectional observational study.

BACKGROUND: In most countries, the general practitioner (GP) is the first point of contact in the healthcare system and coordinator of healthcare. However, in Germany it is possible to consult an outpatient specialist even without referral. Coordination by a GP might thus reduce health expenditures and inequalities in the healthcare system. The study describes the patients' willingness/commitment to use the GP as coordinator of healthcare and identifies regional and patient-related factors associated with the aforementioned commitment to the GP. METHODS: Cross-sectional observational study using a standardised telephone patient survey in northern Germany. All counties and independent cities within a radius of 120 km around Hamburg were divided into three regional categories (urban areas, environs, rural areas) and stratified proportionally to the population size. Patients who had consulted the GP within the previous three months, and had been patients of the practice for at least three years were randomly selected from medical records of primary care practices in these districts and recruited for the study. Multivariate linear regression models adjusted for random effects at the level of federal states, administrative districts and practices were used as statistical analysis methods. RESULTS: Eight hundred eleven patients (25.1%) from 186 practices and 34 administrative districts were interviewed. The patient commitment to a GP attained an average of 20 out of 24 possible points. Significant differences were found by sex (male vs. female: + 1.14 points, p < 0.001), morbidity (+ 0.10 per disease, p = 0.043), education (high vs. low: - 1.74, p < 0.001), logarithmised household net adjusted disposable income (- 0.93 per step on the logarithmic scale, p = 0.004), regional category (urban areas: - 0.85, p = 0.022; environs: - 0.80, p = 0.045) and healthcare utilisation (each GP contact: + 0.30, p < 0.001; each contact to a medical specialist: - 0.75, p = 0.018). Professional situation and age were not significantly associated with the GP commitment. CONCLUSION: On average, the patients' commitment to their GP was relatively strong, but there were large differences between patient groups. An increase in the patient commitment to the GP could be achieved through better patient information and targeted interventions, e.g. to women or patients from regions of higher urban density. TRIAL REGISTRATION: The study was registered in ClinicalTrials.gov (NCT02558322).