In 2016 to 2017, the rate of emergency room visits at which opioids were prescribed was slightly higher for female patients than for male patients in the U.S, indicating a change from previous years. This statistic shows the percentage of emergency department visits by adults at which opioids were prescribed at discharge in the U.S. from 2006 to 2017, by gender.

Percentage of emergency admissions to any hospital in England occurring within 30 days of the last, previous discharge from hospital after admission: indirectly standardised by age, sex, method of admission and diagnosis/procedure. The indicator is broken down into the following demographic groups for reporting: ● All years and female only, male only and both male and female (persons). ● <16 years and female only, male only and both male and female (persons). ● 16+ years and female only, male only and both male and female (persons) ● 16-74 years and female only, male only and both male and female (persons) ● 75+ years and female only, male only and both male and female (persons) Results for each of these groups are also split by the following geographical and demographic breakdowns: ● Local authority of residence. ● Region. ● Area classification. ● NHS and private providers. ● NHS England regions. ● Deprivation (Index of Multiple Deprivation (IMD) Quintiles, 2019). ● Sustainability and Transformation Partnerships (STP) & Integrated Care Boards (ICB) from 2016/17. ● Clinical Commissioning Groups (CCG) & sub-Integrated Care Boards (sub-ICB). ● Treatment Functions. All annual trends are indirectly standardised against 2014/15.

In the year 2024/25, roughly **** percent of accident and emergency department attendees in England were women, a slight increase over the past ten years. This statistic displays the share of accident and emergency (A&E) department attendances in England from 2012/13 to 2024/25, by gender.

Percentage of emergency admissions to any hospital in England occurring within 30 days of the last, previous discharge from hospital after a specific procedure indirectly standardised by age, sex and method of admission. The following procedures are used: ● Primary hip replacement surgery (based on OPCS-4 codes: W37.1, W37.8, W37.9, W38.1, W38.8, W38.9, W39.1, W39.8, W39.9, W93.1, W93.8, W93.9, W94.1, W94.8, W94.9, W95.1, W95.8, W95.9) for all ages broken down by gender: male only, female only and persons ● Hysterectomy (based on OPCS-4 codes: Q07.1, Q07.2, Q07.3, Q07.4, Q07.5, Q07.6, Q07.8, Q07.9, Q08.1 Q08.2, Q08.3, Q08.8, Q08.9) for all ages and females only. Results for each of these groups are also split by the following geographical and demographic breakdowns: ● Local authority of residence. ● Region. ● Area classification. ● NHS and private providers. ● NHS England regions. ● Deprivation (Index of Multiple Deprivation (IMD) Quintiles, 2019). ● Sustainability and Transformation Partnerships (STP) & Integrated Care Boards (ICB) from 2016/17. ● Clinical Commissioning Groups (CCG) & sub-Integrated Care Boards (sub-ICB). All datasets are annual trends indirectly standardised against 2014/15 and 3-year pooled trends indirectly standardised against 2014/16.

IntroductionPeople living with dementia (PwD) admitted in emergency to an acute hospital may be at higher risk of inappropriate care and poorer outcomes including longer hospitalisations and higher risk of emergency re-admission or death. Since 2009 numerous national and local initiatives in England have sought to improve hospital care for PwD. We compared outcomes of emergency admissions for cohorts of patients aged 65+ with and without dementia at three points in time.MethodsWe analysed emergency admissions (EAs) from the Hospital Episodes Statistics datasets for England 2010/11, 2012/13 and 2016/17. Dementia upon admission was based on a diagnosis in the patient’s hospital records within the last five years. Outcomes were length of hospital stays (LoS), long stays (> = 15 days), emergency re-admissions (ERAs) and death in hospital or within 30 days post-discharge. A wide range of covariates were taken into account, including patient demographics, pre-existing health and reasons for admission. Hierarchical multivariable regression analysis, applied separately for males and females, estimated group differences adjusted for covariates.ResultsWe included 178 acute hospitals and 5,580,106 EAs, of which 356,992 (13.9%) were male PwD and 561,349 (18.6%) female PwD. Uncontrolled differences in outcomes between the patient groups were substantial but were considerably reduced after control for covariates. Covariate-adjusted differences in LoS were similar at all time-points and in 2016/17 were 17% (95%CI 15%-18%) and 12% (10%-14%) longer for male and female PwD respectively compared to patients without dementia. Adjusted excess risk of an ERA for PwD reduced over time to 17% (15%-18%) for males and 17% (16%-19%) for females, but principally due to increased ERA rates amongst patients without dementia. Adjusted overall mortality was 30% to 40% higher for PwD of both sexes throughout the time-period; however, adjusted in-hospital rates of mortality differed only slightly between the patient groups, whereas PwD had around double the risk of dying within 30 days of being discharged.ConclusionOver the six-year period, covariate-adjusted hospital LoS, ERA rates and in-hospital mortality rates for PwD were only slightly elevated compared to similar patients without dementia and remaining differences potentially reflect uncontrolled confounding. PwD however, were around twice as likely to die shortly after discharge, the reasons for which require further investigation. Despite being widely used for service evaluation, LoS, ERA and mortality may lack sensitivity to changes in hospital care and support to PwD.

The number of male physicians outnumbers female physicians in the U.S. in most specialties. The only major exceptions are found in pediatrics, child and adolescent psychiatry, obstetrics and gynecology, although female physicians do slightly outnumber males in a few other specialties. As of 2021, there were around 68,400 male family medicine/general practice physicians compared to 50,000 women in this specialty. Physicians in the U.S. Both the number of doctors and rate of doctors in the U.S. have increased over the years. As of 2021, there were around 946,800 active doctors of medicine in the U.S. This was around 29.9 physicians per 10,000 civilian population. In 1995, this rate stood at 24.2 physicians per 10,000 population. Physicians by state The states with the highest overall number of active physicians are California, New York, Texas, and Florida. However, the states with the highest rate of physicians per 10,000 civilian population include Massachusetts, Rhode Island, and Maryland. The District of Columbia has the highest rate of physicians by a large margin, with around 74.6 physicians per 10,000 population. The state with the highest annual compensation for physicians is Oklahoma, where physicians earn an annual average of 337,000 dollars.

These mortality indicators provide information to help the National Health Service (NHS) monitor success in preventing potentially avoidable deaths following hospital treatment. The National Confidential Enquiry into Patients Outcomes and Death (NCEPOD) have, over many years, consistently shown that some deaths are associated with shortcomings in health care. The NHS may be helped to prevent such potentially avoidable deaths by seeing comparative figures and learning lessons from the confidential enquiries, and from the experience of hospitals with low death rates. The indicators presented measure mortality rates for patients, admitted for certain conditions or procedures, where the death occurred either in hospital or within 30 days of the emergency admission or operative procedure. Data are presented for the 10 year period 2005/06 to 2014/15, and in separate breakdowns for females, males and persons For information on the definitions of what these indicators include, please see the relevant specification.

This indicator measures the counts and crude rates per 100,000 discharges of different primary diagnoses reported in the emergency readmission episode following a discharge that involved a specified diagnosis or procedure. Figures are reported at a national level. The sample is based on the same criteria as described in the annual emergency readmissions within 30 days of discharge from hospital by diagnosis (fractured proximal femur and stroke) and procedure (hip replacement surgery and hysterectomy) indicators (I02041 and I02042 respectively), This indicator adds context to these indicators and is designed to increase the understanding of the relationship between a hospital stay and a subsequent emergency readmission. Results are presented for males, females and persons for each discharge diagnosis or procedure group.

In the United States, there are more male doctors than female. In 2023, the share of female doctors amounted to just **** percent, although this has increased by *** percent compared to 2021. However, there were large variations depending on the specialty. ************* were most likely to be women (among the major specialties**). Meanwhile, only ***** other specialties had more female than male physicians.

During 2020, in Italy, 5,385 women were forced to go to hospital emergency rooms because of episodes of violence, for a total of 11,345 single occurrences. Almost one out of two victims was between 25 and 44 years of age and the 35-44 age group was the most represented, accounting for 24.5 percent of the victims. A worrying share of the victims, moreover, was underage (12.4 percent). This statistic refers exclusively to episodes of male violence against women. Data were published by the source on the occasion of the 2021 International Day for the Elimination of Violence against Women.

This statistic shows the percentage of people globally that have sought emergency medical treatment for select drugs as of the end of 2017. According to the data, * percent of male respondents and *** percent of female respondents that were methamphetamine users sought emergency medical treatment for use of methamphetamines.

Excessive alcohol use stands as a serious threat to individual and community well-being, having been linked to a wide array of physical, social, mental, and economic harms. Alcohol consumption differs by gender, a trend seen both globally and in Moshi, Tanzania, a region with especially high rates of intake and few resources for alcohol-related care. To develop effective gender-appropriate treatment interventions, differences in drinking behaviors between men and women must be better understood. Our study aims to identify and explore gender-based discrepancies in alcohol consumption among Kilimanjaro Christian Medical Center (KCMC) patients. A systematic random sampling of adult patients presenting to KCMC’s Emergency Department (ED) or Reproductive Health Center (RHC) was conducted from October 2021 until May 2022. Patients answered demographic and alcohol use-related questions and completed brief surveys, including the Alcohol Use Disorder Identification Test (AUDIT). Through purposeful sampling, 19 individuals also participated in in-depth interviews (IDIs) that focused on identifying gender differences in alcohol use. Quantitative data was analyzed in RStudio through descriptive frequencies, proportions, ANOVA, and Chi-squared tests, while IDIs were analyzed in Nvivo following a grounded theory approach. During the 8-month data collection timeline, 676 patients were enrolled. Men and women patients at KCMC’s ED and RHC were found to have significant differences in their alcohol use behaviors. For our quantitative data, this included lower average AUDIT scores among women (average [SD] AUDIT scores were 6.76 [8.16] among ED men, 3.07 [4.76] among ED women, and 1.86 [3.46] among RHC women). A subsequent IDI analysis revealed greater social restrictions around women’s drinking and more secretive alcohol use behaviors for where and when women would drink. For men, excess drinking was normalized within Moshi, tied to men’s social interactions with other men, and generally motivated by stress, social pressure, and despair over lack of opportunity. Significant gender differences in drinking behaviors were found, primarily influenced by sociocultural norms. These dissimilarities in alcohol use suggest that future alcohol-related programs should incorporate gender in their conceptualization and implementation.

Percentage of emergency admissions to any hospital in England occurring within 30 days of the last, previous discharge from hospital with specific diagnosis: indirectly standardised by age, sex, method of admission and diagnosis group. The following diagnoses are used: ● Fractured proximal femur (based on ICD-10 codes: S72.0, S72.1 and S72.2) for all ages broken down by gender: male only, female only and persons ● Stroke (based on ICD-10 codes: I61* to I64*) for all ages broken down by gender: male only, female only and persons. Results for each of these groups are also split by the following geographical and demographic breakdowns: ● Local authority of residence. ● Region. ● Area classification. ● NHS and private providers. ● NHS England regions. ● Deprivation (Index of Multiple Deprivation (IMD) Quintiles, 2019). ● Sustainability and Transformation Partnerships (STP) & Integrated Care Boards (ICB) from 2016/17. ● Clinical Commissioning Groups (CCG) & sub-Integrated Care Boards (sub-ICB). All datasets are annual trends indirectly standardised against 2013/14.

From 2017 to 2022, more males were admitted to the emergency departments in the United States due to micromobility crashes than females, with ** and ** percent respectively. For e-scooter and e-bike injuries , more males were admitted to the emergency department, respectively making up ** and ** percent of all those admitted. However, more women were admitted to the emergency department for hoverboard accidents, with ** percent of cases, while men accounted for only ** percent for accidents involving that device.

AimIn the present study, we aimed to provide an epidemiological and descriptive overview of violence against healthcare workers in an Italian university hospital, presenting and characterizing the risk factors in the department where such events occur and to propose ways to prevent aggressive behaviors.MethodsWe retrospectively analyzed violence against healthcare workers by patients and attendants at an Italian university hospital from 2020 to 2022. Aggressions were documented in anonymous incident reports collected by the hospital’s Clinical Risk Unit. The frequencies and percentages were calculated via a descriptive analysis. Chi-square tests were used to compare the wards with the most aggressions to other wards.ResultsOf the 219 included cases, the aggressors were primarily male patients and the victims female nurses. Most of the aggressions occurred in the psychiatry and emergency department. Among the aggressors, 41.1%, had a psychiatric diagnosis or neurocognitive impairment. Over half the cases involved physical aggression. Compared to other wards, psychiatric wards showed an even distribution of aggressor gender, a higher proportion of male victims, fewer verbal aggressions, and less impact from environmental factors. Notably, female aggressor status (p 

Methods of suicide/self-inflicted injuries for Santa Clara County residents. The methods of injury for suicide deaths are provided for the total county population and by race/ethnicity. Data for emergency department utilization and hospital discharges are summarized only for total county population. Data are presented for pooled years combined. Missing data are not included in the analysis. Source: Santa Clara County Public Health Department, VRBIS, 2007-2016. Data as of 05/26/2017; Office of Statewide Planning and Development, 2007-2014 Emergency Department Data; Office of Statewide Planning and Development, 2007-2014 Patient Discharge Data.METADATA:Notes (String): Lists table title, notes and sourceYear (String): Year of eventData element (String): Lists data represents deaths, hospital discharges or emergency department visitsCategory (String): Lists the category representing the data. Suicide death data are presented as: Santa Clara County is for total population, sex: Male and Female, and race/ethnicity: African American, Asian/Pacific Islander, Latino and White (non-Hispanic White only). Suicide attempt/ideation data are presented as: Santa Clara County is for total population.Means of injury (String): Methods are categorized as: Poisoning, Suffocation, Firearms, Fall, Cut/pierce, Fire/flame and other.Percentage (Numeric): Percentage

BackgroundHealthcare innovations have not kept pace with the burden of critical illness survivorship. The majority of patients treated in an intensive care unit (ICU) will survive but suffer new or worsening physical, cognitive or mental health sequelae, known as post-intensive care syndrome (PICS). For these survivors, the transition from hospital-based acute care to community-based care is often complex, with high rates of emergency department visits and unplanned hospital readmission. The purpose of this analysis is to describe ICU survivor and family caregiver experiences navigating the challenges in the transition from hospital to home.MethodsIn this qualitative interpretive description study, data from semi-structured interviews with ICU survivors and family caregivers in the months following discharge from the hospital to home were analyzed using thematic and constant comparative methods.ResultsThe 47 study participants included 28 survivors (mean age 58, 17 men and 11 women) and 19 family caregivers (mean age 53, 6 men and 13 women), who represented 32 cases. The challenges experienced when transitioning from hospital included (1) feeling too ill to go home and pushed out of the hospital without a plan, (2) confronting illness and exhaustion without a safety net, and (3) managing at home with inadequate healthcare. During this time, patients were vulnerable to stagnation or deterioration of their mental and physical health, unmet healthcare needs, and unplanned emergency department visits and rehospitalization.ConclusionsThe challenging transition from the hospital setting suggests a heightened window of vulnerability in the initial months post-discharge and emphasizes a crucial missing middle in our healthcare system, leaving vulnerable patients at risk for ongoing and new health problems.

Patient and caregiver participant characteristics.

BackgroundRates of prenatal alcohol use in Sub-Saharan Africa (SSA) are increasing despite regulatory bodies urging pregnant women to abstain from alcohol. Tanzania has minimal policies, interventions, and educational programs addressing prenatal alcohol exposure. Consequently, a considerable number of mothers and their fetuses are exposed to alcohol, leading to serious health consequences like fetal alcohol spectrum disorder (FASD). Our study aims to understand the alcohol use practices of pregnant women, the knowledge and attitudes related to prenatal alcohol exposure among different genders and generations, and how these may be influenced by community perceptions and cultural beliefs among patients at Kilimanjaro Christian Medical Center (KCMC).MethodsA total of 676 individuals seeking care at the KCMC Emergency Department (ED) or Reproductive Health Center (RHC) met our inclusion criteria, were approached for participation using a systematic random sampling method, and were enrolled. Of those, 541 women and 114 men completed the survey. The quantitative analysis focused exclusively on survey data from 533 women who reported their pregnancy status and age. Descriptive frequencies were used to compare sociodemographic factors and alcohol use practices across three female groups stratified by pregnancy status and age. Nineteen survey participants—both men and women—were purposively selected for qualitative semi-structured in-depth interviews (IDIs) exploring knowledge, attitudes, and cultural beliefs surrounding alcohol use during pregnancy. A grounded theory approach was used to analyze IDIs in NVivo.ResultsA large percentage of pregnant women reported consuming alcohol at least once per week (42.2%). Older non-pregnant women exhibited the highest rate of alcohol use per week (66.0%). Many older non-pregnant women (28.7%) perceived alcohol use as acceptable during pregnancy. Younger non-pregnant women had the highest prevalence of harmful or hazardous drinking (HHD) at 16.4%. This group also reported the highest weekly alcohol expenses, with 18.1% spending over 10,000 Tanzanian shillings (TZS) per week. Median [IQR] DrInC scores were 0 [0–0] for pregnant women, 0 [0–7] for younger non-pregnant women, and 0 [0–1] for older non-pregnant women. Older non-pregnant women exhibited the highest prevalence of depression (31.4%). Median [IQR] PHQ-9 scores were 4 [3–6.25] for pregnant women, 5 [2–8] for younger non-pregnant women, and 6 [3–10] for older non-pregnant women. Qualitative analyses demonstrated that (1) cultural beliefs are intricately tied to perceived benefits of prenatal alcohol exposure, (2) a history of alcohol use preceding pregnancy largely influences prenatal alcohol use, and (3) community views of PWCA are negative.ConclusionsOur findings demonstrate high rates of prenatal alcohol use in Moshi, Tanzania, with pre-pregnancy alcohol use as a significant predictor. Despite generally negative views of pregnant women who consume alcohol (PWCA), some sociocultural beliefs and limited knowledge about the dangers of prenatal alcohol exposure encouraged alcohol use during pregnancy. To improve health outcomes and reduce alcohol-related pregnancy complications for current and future generations, community-wide health messaging and pre-pregnancy interventions may prove beneficial for pregnant women and women of reproductive age who consume alcohol.

The United States President’s Emergency Plan for AIDS Relief (PEPFAR) has been credited with saving millions lives and helping to change the trajectory of the global human immunodeficiency virus (HIV) epidemic. This study assesses whether PEPFAR has had impacts beyond health by examining changes in five economic and educational outcomes in PEPFAR countries: the gross domestic product (GDP) per capita growth rate; the share of girls and share of boys, respectively, who are out of school; and female and male employment rates. We constructed a panel data set for 157 low- and middle-income countries between 1990 and 2018 to estimate the macroeconomic impacts of PEPFAR. Our PEPFAR group included 90 countries that had received PEPFAR support over the period. Our comparison group included 67 low- and middle-income countries that had not received any PEPFAR support or had received minimal PEPFAR support (