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Background General practice training in outer metropolitan (OM) areas contributes to patients' access to care. Differences in clinical practice and training in rural versus urban areas have been established, but less is known about OM versus inner metropolitan (IM) differences - whether they offer a trainee learning experience of populations with distinct demographics and healthcare characteristics. This study sought to identify the characteristics and associations of general practice training in New South Wales and Australian Capital Territory OM areas, compared to IM and rural areas. Methods Cross-sectional analyses of data (2016-2020) from the Registrar Clinical Encounters in Training (ReCEnT) study, an ongoing cohort study of Australian GP registrars' in-consultation clinical and educational experience and behaviours, were performed. Multinomial logistic regression assessed associations of rural/OM/IM practice location with registrar and practice factors, patient factors, consultation content factors and consultation action factors. Results Overall, 1308 registrars provided data from 177,026 consultations. For several variables, there was a pattern in the differences of associations across rural/OM/IM areas. Experience of care of older patients and Aboriginal and/or Torres Strait Islander health were more likely in OM than IM areas. Care of patients from non-English speaking background was more likely in OM than in rural areas. Possible markers of healthcare access (specialist referrals, and pathology and imaging requests) were less likely in OM than in both IM and rural areas. Conclusions OM areas are distinct (and educationally rich) clinical learning environments, with distinct demographic characteristics and seeming healthcare access limitations. This finding has implications for workforce support and health resource allocation.

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BACKGROUND: Youth who identify as transgender and gender diverse (TGD) are increasingly presenting to pediatric providers. Gender-affirming surgery is often delayed until after a patient reaches the age of majority; however, patients may desire surgery at a younger age. OBJECTIVE: We explore the specific clinical needs of this vulnerable population, including surgical requests. STUDY DESIGN: We present a cross-sectional study of patient intake interviews at time of presentation to our gender health program from 2017 to 2020. We summarize patient demographics, medical histories, and gender-affirming care needs by gender identity and age of presentation. RESULTS: Of 92 patients analyzed, those included were 19 trans girls, 55 trans boys, and 18 non-binary individuals. The median age of our sample was 15 (range 5-17). The median age (IQR) while first questioning gender was 10 (7-12). Sexual orientation was variable with 28 (43%) not sure/unknown. The majority of patients present for primary care services (grade schoolers 75%, early teens 78%, and late teens 77%, p = 0.97) and hormone management (grade schoolers 42%, early teens 62%, and late teens 77%, p = 0.06). Late teens were more likely to present for surgical services (49%) compared to grade schoolers (25%) and early teens (11%), p = 0.001. Prior psychiatric diagnoses were common in all age groups. Trans girls were interested in a variety of affirming procedures whereas trans boys and non-binary individuals primarily sought chest surgery (see summary figure). CONCLUSION: Pediatric gender affirming care needs are varied and multidisciplinary within our center. By age 16, about half of TGD individuals are seeking surgical services. On average, there was a 4-5 year delay from age at first questioning one's gender and presenting to our gender health program. Primary care physicians in particular may prepare to serve this complex population by familiarizing themselves with treatment needs, including developing a network of competent surgical referrals.

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BACKGROUND: As of 2019, South Dakota had only 32 registered dermatologists, one per 27,569 people. Wait times for dermatologic care are affected by factors such as socioeconomic status, provider distribution, and patient to provider ratios. This inaccessibility to care or prolonged wait times may lead to diagnosis and treatment delays as well as disease progression. We hypothesized wait times to see a dermatologist would be longer in rural areas than urban areas in South Dakota. METHODS: Dermatology clinics throughout South Dakota were contacted to obtain wait times. An internet search was conducted to develop a list of dermatology providers. A population of 50,000 or greater defined an urban area and a ratio of four dermatologists per 100,000 people was used as an ideal patient to provider ratio. RESULTS: Overall, 75% of South Dakota's dermatology clinics participated with an equal rural to urban distribution. There was no difference in wait times for new (p=0.787) or established patients (p=0.461) comparing rural and urban clinics. All South Dakota cities with clinics met the goal patient to dermatologist ratio except for Dakota Dunes (included as part of the Sioux City, Iowa, metro population). CONCLUSIONS: The data does not support the hypothesis that wait times for dermatologists would be longer in rural locations than urban locations. Despite adequate dermatologist to patient ratios throughout most of South Dakota, wait times of over six weeks were found at both urban and rural locations, indicating the need for future studies to assess potential solutions for improving timely access to dermatologic care.

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OBJECTIVE: The prevalence of mental health conditions in pediatric patients in the United States is approximately 15%. Concerningly, nearly half go untreated, with lower treatment rates among children of color. Collaborative care can increase access to care and has an emerging evidence base for pediatrics. We present retrospective results from a collaborative care program that accepted referrals for a variety of conditions. METHODS: Pediatric patients seen in an academic, urban collaborative care program from July 2019 to December 2021 were tracked in a registry. Demographics, presenting problem(s), symptoms, treatment, and discharge dispositions were examined. Descriptive data were analyzed, including changes in reported symptoms via paired t-tests. RESULTS: Three hundred nineteen patients were seen. Racial and ethnic diversity in our clinic's population was similar to that of the surrounding community, with half belonging to a minoritized racial or ethnic group. Symptom comparisons demonstrated clinically and statistically significant improvements from intake to discharge. CONCLUSION: Collaborative care can improve access to care and outcomes for a diverse pediatric population. Our clinic served racial and ethnic patient populations that were representative of the demographics of the metropolitan area. Further study is necessary to determine if collaborative care increases access for these underserved groups.

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OBJECTIVE: This study aimed to assess the service quality (SQ) for Type 2 diabetes mellitus (T2DM) and hypertension in primary healthcare settings from the perspective of service users in Iran. METHODS: The Cross-sectional study was conducted from January to March 2020 in urban and rural public health centers in the East Azerbaijan province of Iran. A total of 561 individuals aged 18 or above with either or both conditions of T2DM and hypertension were eligible to participate in the study. The study employed a two-step stratified sampling method in East Azerbaijan province, Iran. A validated questionnaire assessed SQ. Data were analyzed using One-way ANOVA and multiple linear regression statistical models in STATA-17. RESULTS: Among the 561 individuals who participated in the study 176 (31.3%) were individuals with hypertension, 165 (29.4%) with T2DM, and 220 (39.2%) with both hypertension and T2DM mutually. The participants' anthropometric indicators and biochemical characteristics showed that the mean Fasting Blood Glucose (FBG) in individuals with T2DM was 174.4 (Standard deviation (SD) = 73.57) in patients with T2DM without hypertension and 159.4 (SD = 65.46) in patients with both T2DM and hypertension. The total SQ scores were 82.37 (SD = 12.19), 82.48 (SD = 12.45), and 81.69 (SD = 11.75) for hypertension, T2DM, and both conditions, respectively. Among people with hypertension and without diabetes, those who had specific service providers had higher SQ scores (b = 7.03; p = 0.001) compared to their peers who did not have specific service providers. Those who resided in rural areas had lower SQ scores (b = -6.07; p = 0.020) compared to their counterparts in urban areas. In the group of patients with T2DM and without hypertension, those who were living in non-metropolitan cities reported greater SQ scores compared to patients in metropolitan areas (b = 5.09; p = 0.038). Additionally, a one-point increase in self-management total score was related with a 0.13-point decrease in SQ score (P = 0.018). In the group of people with both hypertension and T2DM, those who had specific service providers had higher SQ scores (b = 8.32; p < 0.001) compared to the group without specific service providers. CONCLUSION: Study reveals gaps in T2DM and hypertension care quality despite routine check-ups. Higher SQ correlates with better self-care. Improving service quality in primary healthcare settings necessitates a comprehensive approach that prioritizes patient empowerment, continuity of care, and equitable access to services, particularly for vulnerable populations in rural areas.

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INTRODUCTION: Community health centers (CHCs) provide historically marginalized populations with primary care, including cancer screening. Previous studies have reported that women living in rural areas are less likely to be up to date with cervical cancer screening than women living in urban areas. However, little is known about rural-urban differences in cervical cancer screening in CHCs and the contributing factors, and whether such differences changed during the COVID-19 pandemic. METHODS: Using 8-year pooled Uniform Data System (2014-2021) data and Oaxaca-Blinder decomposition, the extent to which CHC- and catchment area-level characteristics explained rural-urban differences in up-to-date cervical cancer screening was estimated. RESULTS: Up-to-date cervical cancer screening was lower in rural CHCs than urban CHCs (38.2% vs 43.0% during 2014-2019), and this difference increased during the pandemic (43.5% vs 49.0%). The rural-urban difference in cervical cancer screening in 2014-2019 was mostly explained by differences in CHC-level proportions of patients with limited English proficiency (55.9%) or income below the poverty level (12.3%) and females aged 21 to 64 years (9.8%), and catchment area-level's unemployment (3.4%) and primary care physician density (3.2%). However, Medicaid (-48.5%) or no insurance (-19.6%) counterbalanced the differences between rural-urban CHCs. The contribution of these factors to rural-urban differences in cervical cancer screening generally increased in 2020-2021. CONCLUSIONS: Rural-urban differences in cervical cancer screening were mostly explained by multiple CHC-level and catchment area-level characteristics. The findings call for tailored interventions, such as providing resources and language services, to improve cancer screening utilization among uninsured, Medicaid, and patients with limited English proficiency in rural CHCs.

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BACKGROUND: Despite a 13.1% increase in the number of pediatricians between 2011 - 2020, the capacity of pediatric care has largely stagnated. This is due to increasing flexibility in working hours and a declining willingness of doctors to establish practices. In addition, there is an imbalance in the distribution of pediatric medical care capacities. While metropolitan areas are often characterized by oversupply, there is an increasing shortage of pediatricians, especially in rural areas. As a result, general practitioners in rural areas are increasingly taking over part of pediatric care. We quantify this compensation effect using the example of examinations of general health and normal child development (U1-U9). METHODS: Basis of the analysis was the Doctors' Fee Scale within the Statutory Health Insurance Scheme (Einheitlicher Bewertungsmaßstab, EBM) from 2015 (4th quarter). Nationwide data from the National Association of Statutory Health Insurance Physicians (KBV) for general practitioners and pediatricians from 2015 was evaluated. In the first step, the EBM was used to determine the potential overlap of services between the two groups of doctors. The actual compensation between the groups was quantified using general health and normal child development as an example. RESULTS: In section 1.7.1 (early detection of diseases in children) of the EBM, there is a list of 16 options for services that can be billed (fee schedule positions, GOP) by general practitioners and pediatricians. This particularly includes child examinations U1 to U9. The analysis of the national data of the KBV for the early detection of diseases in children showed significant differences between rural and urban regions in the billing procedure. Nationwide, general practitioners billed 6.6% of the services in the area of early detection of diseases in children in 2015. In rural regions this share was 23% compared to 3.6% in urban regions. The analysis of the nationwide data showed that the proportion of services billed by general practitioners was higher in rural regions than in urban regions. CONCLUSION: The EBM allows billing of services by both general practitioners and pediatricians, especially in the area of general GOP across all medical groups. The national billing data of the KBV shows that general practitioners in rural regions bill more services from the corresponding sections than in urban regions.

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BACKGROUND: Rurality strongly correlates with higher pay-for-performance access bonuses, despite higher emergency department use and fewer primary care services than in urban settings. We sought to evaluate the relation between patient-reported access to primary care and access bonus payments in urban settings. METHODS: We conducted a cross-sectional, secondary data analysis using Ontario survey and health administrative data from 2013 to 2017. We used administrative data to calculate annual access bonuses for eligible urban family physicians. We linked this payment data to adult (≥ 16 yr) patient data from the Health Care Experiences Survey to examine the relation between access bonus achievement (in quintiles of the proportion of bonus achieved, from lowest [Q1, reference category] to highest [Q5]) and 4 patient-reported access outcomes. The average survey response rate to the patient survey during the study period was 51%. We stratified urban geography into large, medium and small settings. In a multilevel regression model, we adjusted for patient-, physician- and practice-level covariates. We tested linear trends, adjusted for clustering, for each outcome. RESULTS: We linked 18 893 respondents to 3940 physicians in 414 bonus-eligible practices. Physicians in small urban settings earned the highest proportion of their maximum potential access bonuses. Access bonus achievement was positively associated with telephone access (Q2 odds ratio [OR] 1.18, 95% confidence interval [CI] 0.98-1.42; Q3 OR 1.34, 95% CI 1.10-1.63; Q4 OR 1.46, 95% CI 1.19-1.79; Q5 OR 1.87, 95% CI 1.50-2.33), after hours access (Q2 OR 1.26, 95% CI 1.09-1.47; Q3 OR 1.46, 95% CI 1.23-1.74; Q4 OR 1.77, 95% CI 1.46-2.15; Q5 OR 1.88, 95% CI 1.52-2.32), wait time for care (Q2 OR 1.01, 95% CI 0.85-1.20; Q3 OR 1.17, 95% CI 0.97-1.41; Q4 OR 1.27, 95% CI 1.05-1.55; Q5 OR 1.63, 95% CI 1.32-2.00) and timeliness (Q2 OR 1.29, 95% CI 0.98-1.69; Q3 OR 1.29, 95% CI 0.94-1.77; Q4 OR 1.58, 95% CI 1.16-2.13; Q5 OR 1.98, 95% CI 1.38-2.82). When stratified by geography, we observed several of these associations in large urban settings, but not in small urban settings. Trend tests were statistically significant for all 4 outcomes. INTERPRETATION: Although the access bonus correlated with access in larger urban settings, it did not in smaller settings, aligning with previous research questioning its utility in smaller geographies. The access bonus may benefit from a redesign that considers geography and patient experience.

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BACKGROUND: The performance of existing predictive models of readmissions, such as the LACE, LACE+, and Epic models, is not established in urban safety-net populations. We assessed previously validated predictive models of readmission performance in a socially complex, urban safety-net population, and if augmentation with additional variables such as the Area Deprivation Index, mental health diagnoses, and housing access improves prediction. Through the addition of new variables, we introduce the LACE-social determinants of health (SDH) model. METHODS: This retrospective cohort study included adult admissions from July 1, 2016, to June 30, 2018, at a single urban safety-net health system, assessing the performance of the LACE, LACE+, and Epic models in predicting 30-day, unplanned rehospitalization. The LACE-SDH development is presented through logistic regression. Predictive model performance was compared using C-statistics. RESULTS: A total of 16,540 patients met the inclusion criteria. Within the validation cohort (n=8314), the Epic model performed the best (C-statistic=0.71, P<0.05), compared with LACE-SDH (0.67), LACE (0.65), and LACE+ (0.61). The variables most associated with readmissions were (odds ratio, 95% confidence interval) against medical advice discharge (3.19, 2.28-4.45), mental health diagnosis (2.06, 1.72-2.47), and health care utilization (1.94, 1.47-2.55). CONCLUSIONS: The Epic model performed the best in our sample but requires the use of the Epic Electronic Health Record. The LACE-SDH performed significantly better than the LACE and LACE+ models when applied to a safety-net population, demonstrating the importance of accounting for socioeconomic stressors, mental health, and health care utilization in assessing readmission risk in urban safety-net patients.

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INTRODUCTION: In various countries, a shortage of general practitioners (GPs) and worrying health statistics on risk factors, morbidity and mortality have been observed in rural areas. However, few comparative data are available on GP activities according to their location. The aim of this study was to analyse French GP activities according to their rural or urban practice location. METHODS: This study was ancillary to the Eléments de la COnsultation en médecine GENérale (ECOGEN) study, which was a cross-sectional, multicentre, national study conducted in 128 French general practices in 2012. Data were collected by 54 interns in training during a period of 20 working days from December 2011 to April 2012. GP practice location was classified as rural area, urban cluster or urban area. The International Classification of Primary Care (ICPC-2) was used to classify reasons for encounter, health problem assessments, and processes of care. Univariate analyses were performed for all dependent variables, then multivariable analyses for key variables, using hierarchical mixed-effect models. RESULTS: The database included 20 613 consultations. The mean yearly number of consultations per GP was higher in rural areas (p<0.0001), with a shorter consultation length (p<0.0001). No difference was found for GP sex (p=0.41), age (p=0.87), type of fees agreement (p=0.43), and type of practice (p=0.19) according to their practice location. Urban patients were younger, and there was a lower percentage of patients over 75 years (p<0.001). GPs more frequently consulted at patients' homes in rural areas (p<0.0001). The mean number of chronic conditions managed was higher in rural areas and urban clusters than in urban areas (p<0001). Hypertension (p<0.0001), type 2 diabetes (p=0.003), and acute bronchitis/bronchiolitis (p=0.01) were more frequently managed in rural areas than in urban clusters and areas. Health maintenance/prevention (p<0.0001) and no disease situations (p<0.0001) were less frequent in rural areas. Drug prescription was more frequent in rural areas than in urban clusters and areas (p<0.0001). Multivariable analysis confirmed the influence of a GP's rural practice location on the consultation length (p<0.0001), the number of chronic conditions per consultation (p<0.0001) and the number of health maintenance/prevention situations (p<0.0001), and a trend towards a higher yearly number of consultations per GP (p=0.09). CONCLUSION: French rural GPs tend to have a higher workload than urban GPs. Rural patients have more chronic conditions to be managed but are offered fewer preventive services during consultations. It is necessary to increase the GP workforce and develop cooperation with allied health professionals in rural areas.

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INTRODUCTION: all pregnant women are at potential risk of obstetric complications; majority of which can be treated if appropriate care is accessed promptly. A shift in focus to quality of care has the potential to unlock significant returns for every mother and newborn to end preventable maternal and infant deaths. The study aimed to assess the quality of maternal health services in primary health facilities in urban and rural communities of Kano State. METHODS: using a comparative cross-sectional study design that utilized mixed method of data collection, interviewer administered questionnaire were used to collect information from 438 women (219) each attending health facilities for maternal health services in rural and urban areas of Kano using multistage sampling technique from June to November, 2019. Six Key Informant Interviews with the heads of units/ facilities were purposively conducted. Quality of care was assessed using perspectives and system models based on the components of antenatal care received, postnatal care and perception of care received. A statistical significance was set at p-value < 0.05. Thematic framework analysis was used to analyze verbatim transcript from qualitative interviews. RESULTS: the age of the respondents ranged from 18-48 years with majority having secondary education in both communities. In both urban and rural communities, majority of the respondents had only 1-3 antenatal care visits making up 63.5% and 70.3% respectively. Almost similar proportions of the urban (58.4%) and rural (50.2%) respondents were delivered by a skilled birth attendant. About two-third of the respondents, 67.6% and 65.3% in the urban and rural communities respectively were completely satisfied with the quality of care received. Qualitative interviews pointed ignorance as the major factor that prevent mothers from accessing quality care and reported that satisfactory services were provided in all facilities. CONCLUSION: considerable disparity exists between urban and rural communities in quality of maternal health services with better provision of most services in the urban communities. There is need for improvement in the desirable and minimum acceptable quality of maternal health services in Kano State.

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Purpose: This study assessed disparities in screener- and provider-identified mental health and substance use diagnoses and treatment attendance by sexual orientation and gender in an urban community health center focused on sexual and gender minority individuals. Methods: Using an electronic data query (October 2015 to October 2018), computerized screening results assessing likely depression, anxiety, alcohol use disorder (AUD), and substance use disorder (SUDs); provider diagnoses; and treatment initiation related to mental health and substance use were compared across sexual orientation (heterosexual, gay/lesbian, bisexual, and other) and gender categories (men and women, inclusive of cisgender and transgender individuals; N = 24,325). Results: Bisexual and other-identified individuals were more likely to screen positive for depression and anxiety, followed by gay/lesbian women, compared with heterosexual individuals and gay men (χ2 = 463.22, p < 0.001 and χ2 = 263.36, p < 0.001, respectively). Of those who screened positive for AUDs, women were less likely to be diagnosed by a professional (χ2 = 63.79, p < 0.001) and of those who screened positive for either alcohol or other SUDs, women were less likely to attend one or more substance use-related behavioral health appointments, regardless of sexual orientation (contingency coefficient = 0.14, p < 0.001). Conclusion: This community health center study identified a need for increased mental health services for bisexual and other-identified individuals and increased assessment and initiation of substance use treatment for women, including sexual minority women.

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BACKGROUND: The COVID-19 pandemic is a major public health problem. Subsequently, emergency medical services (EMS) have anecdotally experienced fluctuations in demand, with reports across Canada of both increased and decreased demand. Our primary objective was to assess the effect of the COVID-19 pandemic on call volumes for several determinants in Niagara Region EMS. Our secondary objective was to assess changes in paramedic-assigned patient acuity scores as determined using the Canadian Triage and Acuity Scale (CTAS). METHODS: We analyzed data from a regional EMS database related to call type, volume, and patient acuity for January to May 2016-2020. We used statistical methods to assess differences in EMS calls between 2016 and 2019 and 2020. RESULTS: A total of 114,507 EMS calls were made for the period of January 1 to May 26 between 2016 and 2020, inclusive. Overall, the incidence rate of EMS calls significantly decreased in 2020 compared to the total EMS calls in 2016-2019. Motor vehicle collisions decreased in 2020 relative to 2016-2019 (17%), while overdoses relatively increased (70%) in 2020 compared to 2016-2019. Calls for patients assigned a higher acuity score increased (CTAS 1) (4.1% vs. 2.9%). CONCLUSION: We confirmed that overall, EMS calls have decreased since the emergence of COVID-19. However, this effect on call volume was not consistent across all call determinants, as some call types rose while others decreased. These findings indicate that COVID-19 may have led to actual changes in emergency medical service demand and will be of interest to other services planning for future pandemics or further waves of COVID-19.

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There are significant disparities in access to dermatologists in rural areas relative to urban areas. We examined the associations between demographic and medical school characteristics and entry into dermatology practice in urban versus rural counties. All dermatologists who graduated from U.S. allopathic or osteopathic medical schools in the 2020 Centers for Medicare & Medicaid Services Physician Compare Database were assessed. Dermatology practice locations were coded as metropolitan or non-metropolitan according to the Rural-Urban Continuum Codes. Of 10,076 dermatologists, 543 (5.4%) practiced in non-metropolitan counties. Male gender (odds ratio [OR] 1.48, 95% CI 1.23-1.77), public medical school attendance (OR 1.94, 95% CI 1.61-2.34), DO degree (OR 1.84, 95% CI 1.32-2.51), medical school location in a non-metropolitan county (OR 5.41, 95% CI 3.66-7.84), and medical school rural track program (OR 1.57, 95% CI 1.07-2.26) were associated with higher odds of non-metropolitan dermatology practice. Our findings highlight that male gender, graduation from a non-metropolitan or public medical school, DO degree, and rural tracks are associated with higher likelihood of non-metropolitan dermatology practice. These results can inform efforts within the field of dermatology to strengthen the rural dermatologist workforce and suggest that rural educational experiences during medical school may increase recruitment of rural dermatologists.

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BACKGROUND: Access to pediatric trauma care is highly variable across the United States. The purpose of this study was to measure the association between pediatric trauma center care and motor vehicle crash (MVC) mortality in children (<15 years) at the US county level for 5 years (2014-2018). METHODS: The exposure was defined as the highest level of pediatric trauma care present within each county: (1) pediatric trauma center, (2) adult level 1/2, (3) adult level 3, or (4) no trauma center. Pediatric deaths due to passenger vehicle crashes on public roads were identified from the NHTSA Fatality Analysis Reporting System. Hierarchical negative binomial modeling measured the relationship between highest level of pediatric trauma care and pediatric MVC mortality within counties. Adjusted analyses accounted for population age and sex, emergency medical service response times, helicopter ambulance availability, state traffic safety laws, and measures of rurality. RESULTS: During the study period 3,067 children died in fatal crashes. We identified 188 pediatric trauma centers in 141 counties. Significant disparities in access to pediatric trauma care were observed. Specifically, 99% of pediatric trauma centers were situated in population-dense urban counties, while 28% of children lived in counties no trauma center. After risk adjustment, counties with pediatric trauma centers had significantly lower rates of pediatric MVC death than those with no trauma center: 0.7 versus 3.2 deaths/100,000 child-years; mortality rate ratio, 0.58; and 95% confidence interval, 0.39 to 0.86. In counties where pediatric trauma centers were absent, adult level 1/2 trauma centers were associated with comparable risk reduction. CONCLUSION: The presence of pediatric trauma centers was associated with lower rates of MVC death in children. Adult level 1/2 trauma centers appear to offer comparable risk reduction. Where population differences in pediatric trauma mortality are observed, addressing disparities in county-level access to pediatric trauma care may serve as a viable target for system-level improvement. LEVEL OF EVIDENCE: Epidemiological, level III; Care management, level III.

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Telemedicine has traditionally been used in rural areas, but the recent development of mHealth solutions has led to a growth in urban telemedicine services. The aim of this study was to determine whether urban and rural patients in a large academic medical center use telemedicine to access different healthcare specialties at different rates. This retrospective cohort study examined all telemedicine visits dated 2008-2017 at a large academic medical center. Visits were classified by clinical specialty. Teledermatology, child telepsychiatry, and adult telepsychiatry made up 97 percent of telemedicine visits. Rural patients were more likely to have multiple telehealth visits. A significant difference was observed between rural and urban use of telemedicine, both in terms of specialties and demographics. This suggests that health systems should consider adjusting resources and training to meet the different needs of these two populations. In particular, telemedicine may offer help for the nationwide maldistribution of adolescent psychiatry providers.

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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.

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OBJECTIVE: The aim of this study was to reveal how the pandemic process affected the number of ED visits and the reasons for application. METHODS: The daily number of ED visits during the pandemic were analyzed in 3 different periods; prepandemic period (February 1st to March 11th, declaration of the first COVID-19 case in Turkey), early pandemic period (March 12th to May 31th, period of strict measures), and late pandemic period (June 1st to July 31st, period of new norms). The pandemic periods were compared with the same timeframes in 2019 (comparison periods). Demographic variables and complaints of the patients on admission were investigated. RESULTS: The total number of ED visits in the study period in 2020 was 78,907, which was only the half of the applications in the same period in 2019 (n: 149,387). Data showed a sharp decrease at the number of daily visits to green and yellow zones after the announcement of the first case however red zone applications were more than twice that of the previous year. During pandemic nonspecific complaints was decreased and there was an increase at the percentages of respiratory, cardiac, and neurological complaints. CONCLUSION: Number of ED visits during the pandemic were decreased by half when compared to the previous year. It was an advantage of the pandemic to decrease ED visits due to "nonemergent" complaints, and thus, unnecessary patient burden. However, on the other hand, patients avoided seeking medical attention, even for life-threatening conditions which led to increased mortality and morbidity.

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