Equitable psychiatry, telehealth, and the COVID-19 pandemic: Analysis of national data.

Background: At the beginning of the COVID-19 pandemic, it was foreseen that the number of face-to-face psychiatry consultations would suffer a reduction. In order to compensate, the Australian Government introduced new Medicare-subsidized telephone and video-linked consultations. This study investigates how these developments affected the pre-existing inequity of psychiatry service delivery in Australia. Methods: The study analyses five and a half years of national Medicare data listing all subsidized psychiatry consultation consumption aggregated to areas defined as Statistical Area level 3 (SA3s; which have population sizes of 30 k-300 k). Face-to-face, video-linked and telephone consultations are considered separately. The analysis consists of presenting rates of consumption, concentration graphs, and concentration indices to quantify inequity, using Socio Economic Indexes for Areas (SEIFA) scores to rank the SA3 areas according to socio-economic disadvantage. Results: There is a 22% drop in the rate of face-to-face psychiatry consultation consumption across Australia in the final study period compared with the last study period predating the COVID-19 pandemic. However, the loss is made up by the introduction of the new subsidized telephone and video-linked consultations. Referring to the same time periods, there is a reduction in the inequity of the distribution of face-to-face consultations, where the concentration index reduces from 0.166 to 0.129. The new subsidized video-linked consultations are distributed with severe inequity in the great majority of subpopulations studied. Australia-wide, video-linked consultations are also distributed with gross inequity, with a concentration index of 0.356 in the final study period. The effect of this upon overall inequity was to cancel out the reduction of inequity resulting from the reduction of face-to face appointments. Conclusion: Australian subsidized video-linked psychiatry consultations have been distributed with gross inequity and have been a significant exacerbator of the overall inequity of psychiatric service provision. Future policy decisions wishing to reduce this inequity should take care to reduce the risk posed by expanding telepsychiatry.

Indoor and outdoor noise changes due to the COVID-19 lockdown and their effects on individuals' expectations and preferences.

The COVID-19 pandemic significantly modified our urban territories. One of the most strongly affected parameters was outdoor noise, caused by traffic and human activity in general, all of which were forced to stop during the spring of 2020. This caused an indubitable noise reduction both inside and outside the home. This study investigates how people reacted to this new unexpected, unwanted and unpredictable situation. Using field measurements, it was possible to demonstrate how the outdoor sound pressure level clearly decreased. Furthermore, by means of an international survey, it was discovered that people had positive reaction to the lower noise level. This preference was generally not related to home typology or location in the city, but rather to a generalized wish to live in a quieter urban environment.

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.

[Frequency of chest X-ray suggestive of SARS-CoV-2 involvement from March to May 2020 in the population of an urban health area]. / Frecuencia de Rx de tórax indicativas de afectación por SARS-CoV-2 de marzo a mayo de 2020 en la población de un área de salud urbana.

OBJECTIVE: Know the number and percentage of chest X-rays (CXR) referred to a Primary Care Imaging Center and Primary Care Emergency Center to rule out lung involvement due to SARS-CoV-2 from March 16 to May 15, 2020, in an urban health area of about 400,000 reference population inhabitants. To determine the percentage of cases suggestive of pulmonary involvement due to SARS-CoV-2 CXR and the percentage of cases without pulmonary involvement of the total CXR derived in the reference population from March 16 to May 15, 2020. MATERIAL AND METHODS: Design observational descriptive study. The radiological criteria to classify probable pulmonary infection by SARS-CoV-2 (RxT[+]) are: 1) focal opacity; 2) faint focal opacity; 3) faint diffuse increase in density; 4) focal or diffuse interstitial pattern, and 5) focal or diffuse interstitial alveolus pattern. RESULTS AND CONCLUSIONS: Maintain CXR as a useful screening method in the middle stages of the disease, when CXR is more sensitive to detect lung involvement due to SARS-CoV-2. Our graph of affectation by SARS-CoV-2 does not present assessable differences with the expected curve in an epidemic.

Impact of COVID-19 on child malnutrition, obesity in women and household food insecurity in underserved urban settlements in Sri Lanka: a prospective follow-up study.

OBJECTIVES: To determine changes and factors associated with child malnutrition, obesity in women and household food insecurity before and after the first wave of COVID-19 pandemic. DESIGN: A prospective follow-up study. SETTING: In 2019, the baseline Urban Health and Nutrition Study 2019 (UHNS-2019) was conducted in 603 households, which were selected randomly from 30 clusters to represent underserved urban settlements in Colombo. In the present study, 35 % of households from the UHNS-2019 cohort were randomly selected for repeat interviews, 1 year after the baseline study and 6 months after COVID-19 pandemic in Sri Lanka. Height/length and weight of children and women were re-measured, household food insecurity was reassessed, and associated factors were gathered through interviewer-administered questionnaires. Differences in measurements at baseline and follow-up studies were compared. PARTICIPANTS: A total of 207 households, comprising 127 women and 109 children were included. RESULTS: The current prevalence of children with wasting and overweight was higher in the follow-up study than at baseline UHNS-2019 (18·3 % v. 13·7 %; P = 0·26 and 8·3 % v. 3·7 %; P = 0·12, respectively). There was a decrease in prevalence of child stunting (14·7 % v. 11·9 %; P = 0·37). A change was not observed in overall obesity in women, which was about 30·7 %. Repeated lockdown was associated with a significant reduction in food security from 57 % in UHNS-2019 to 30 % in the current study (P < 0·001). CONCLUSIONS: There was an increase in wasting and overweight among children while women had a persistent high prevalence of obesity. This population needs suitable interventions to improve nutrition status of children and women to minimise susceptibility to COVID-19.

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.

Contribution of pulmonary diseases to COVID-19 mortality in a diverse urban community of New York.

We examined the relative contribution of pulmonary diseases (chronic obstructive pulmonary disease, asthma and sleep apnea) to mortality risks associated with Coronavirus Disease (COVID-19) independent of other medical conditions, health risks, and sociodemographic factors. Data were derived from a large US-based case series of patients with COVID-19, captured from a quaternary academic health network covering New York City and Long Island. From March 2 to May 24, 2020, 11,512 patients who were hospitalized were tested for COVID-19, with 4,446 (38.62%) receiving a positive diagnosis for COVID-19. Among those who tested positive, 959 (21.57%) died of COVID-19-related complications at the hospital. Multivariate-adjusted Cox proportional hazards modeling showed mortality risks were strongly associated with greater age (HR = 1.05; 95% CI: 1.04-1.05), ethnic minority (Asians, Non-Hispanic blacks, and Hispanics) (HR = 1.26; 95% CI, 1.10-1.44), low household income (HR = 1.29; 95% CI: 1.11, 1.49), and male sex (HR = 0.85; 95% CI: 0.74, 0.97). Higher mortality risks were also associated with a history of COPD (HR = 1.27; 95% CI: 1.02-1.58), obesity (HR = 1.19; 95% CI: 1.04-1.37), and peripheral artery disease (HR = 1.33; 95% CI: 1.05-1.69). Findings indicate patients with COPD had the highest odds of COVID-19 mortality compared with patients with pre-existing metabolic conditions, such as obesity, diabetes and hypertension. Sociodemographic factors including increased age, male sex, low household income, ethnic minority status were also independently associated with greater mortality risks.

Mathematical model of COVID-19 intervention scenarios for São Paulo-Brazil.

With COVID-19 surging across the world, understanding the effectiveness of intervention strategies on transmission dynamics is of primary global health importance. Here, we develop and analyze an epidemiological compartmental model using multi-objective genetic algorithm design optimization to compare scenarios related to strategy type, the extent of social distancing, time window, and personal protection levels on the transmission dynamics of COVID-19 in São Paulo, Brazil. The results indicate that the optimal strategy for São Paulo is to reduce social distancing over time with a stepping-down reduction in the magnitude of social distancing every 80-days. Our results also indicate that the ability to reduce social distancing depends on a 5-10% increase in the current percentage of people strictly following protective guidelines, highlighting the importance of protective behavior in controlling the pandemic. Our framework can be extended to model transmission dynamics for other countries, regions, states, cities, and organizations.

[Characteristics and evolution of COVID-19 in an urban Health Center at the pandemic beginning']. / Características y evolución de los pacientes COVID-19 en un centro de salud urbano al inicio de la pandemia.

OBJETIVE: To evaluate SAR-COV-2 pacients' features. To analyse de diferences between those who required hospital care and those who didn't. DESIGN: Observational, descriptive and retrospective study. SETTING: Twomedical practices of an urban health center in Salamanca (Spain). PARTICIPANTS: ≥18 years diagnosed with SAR-CoV-2 between March 11th and April 20th. MAIN MEASUREMENTS: clinical-epidemiological chatacteristics, diagnosis, treatment and outcome at the end of study RESULTS: 122 patients (63.9% female), 19.7% social and health care workers y 4.9% from nursing homes. Predominant age group: 46-60 years. 67.2% without comorbility. Predomint symptoms: low-grade fever (73.5%), cough (65.2%) y fever (43%). Average age of the patients requiring hospital care was higher: 59.85 (DE16.22) versus 50.78 (DE17.88) P=.013. 63.6% of all the patients monitored by Primary Health Care and 14.1% of patients that required assistance did not present dyspnea P=.001. Only 2.5% of the hospital-assisted patients, compared to 61.5% of Primary Health Care, were not tested P=.0001. 26 patients were attendedn at an emergency room: 11(9%) stayed and 2 (1.6%) passed away. No antibiotic or inhaler treatment for 52.5% and 70.5% respectively. The most used antipyretic treatment was paracetamol (78.7%). CONCLUSIONS: Prevalence in females, comorbility-free patients and in age range: 46-60 years. Complementary and confirmatory test were performed mainly in hospital care. Predominance of mild symptoms and favourable evolution. Highliting the role played by Primary Health Care in detection, early intervention and monitoring of severe cases.

Mapping routine measles vaccination in low- and middle-income countries.

The safe, highly effective measles vaccine has been recommended globally since 1974, yet in 2017 there were more than 17 million cases of measles and 83,400 deaths in children under 5 years old, and more than 99% of both occurred in low- and middle-income countries (LMICs)1-4. Globally comparable, annual, local estimates of routine first-dose measles-containing vaccine (MCV1) coverage are critical for understanding geographically precise immunity patterns, progress towards the targets of the Global Vaccine Action Plan (GVAP), and high-risk areas amid disruptions to vaccination programmes caused by coronavirus disease 2019 (COVID-19)5-8. Here we generated annual estimates of routine childhood MCV1 coverage at 5 × 5-km2 pixel and second administrative levels from 2000 to 2019 in 101 LMICs, quantified geographical inequality and assessed vaccination status by geographical remoteness. After widespread MCV1 gains from 2000 to 2010, coverage regressed in more than half of the districts between 2010 and 2019, leaving many LMICs far from the GVAP goal of 80% coverage in all districts by 2019. MCV1 coverage was lower in rural than in urban locations, although a larger proportion of unvaccinated children overall lived in urban locations; strategies to provide essential vaccination services should address both geographical contexts. These results provide a tool for decision-makers to strengthen routine MCV1 immunization programmes and provide equitable disease protection for all children.

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.

From the American Epicenter: Coronavirus Disease 2019 in Patients with Inflammatory Bowel Disease in the New York City Metropolitan Area.

BACKGROUND: We aimed to characterize patients with inflammatory bowel disease (IBD) and novel coronavirus disease 2019 (COVID-19). METHODS: We performed a case series of patients with IBD and confirmed or highly suspected COVID-19 to assess rates of severe outcomes. RESULTS: We identified 83 patients with IBD with confirmed (54%) or highly suspected (46%) COVID-19. The overall hospitalization rate was 6%, generally comprising patients with active Crohn's disease or older men with comorbidities, and 1 patient expired. DISCUSSION: In this series of patients with IBD, severe outcomes of COVID-19 were rare and comparable to similarly aged individuals in the general population.