This dataset is the result of an investigation of caregivers’ management and treatment preferences for their ADHD child. From January 2013 through March 2015 a total of 184 caregivers of children 4 to 14 years of age were recruited from primary care, pediatric outpatient clinics, and support organizations in Maryland. The study explored caregiver variability and priorities when considering medication, change in management options over time, and preference for different treatment attributes. Data were collected using Best-Worst scaling and the Vanderbilt ADHD Diagnostic Parent Rating Scale (VADPRS). This dataset consists of caregiver and child demographic information, child diagnoses and treatment characteristics data, and caregiver preferences with regard to medication and observed and desired improvements in their child’s ADHD.

This data set consists of the results of a survey developed to examine substance use, psychosocial, and mental health variables in a sample of patients who received a liver transplant and were diagnosed with an alcohol-related liver disease. Participants were asked about their quantity, duration and frequency of alcohol and substance use prior to and following liver transplant. The Alcohol Use Disorders Identification Test (AUDIT), a 10-item measure for at risk drinking, assessed current alcohol consumption for participants who reported any past-year alcohol consumption. The Fagerstrom test assessed nicotine dependence using a six-item measure of nicotine dependence. The Patient Health Questionnaire (PHQ-9)(14) screened for depression symptomatology, and the Generalized Anxiety Disorder (GAD-7), a seven-item measure that assesses symptoms of worry and anxiety over the past two weeks (15) was used to screen for anxiety symptoms. The Interpersonal Support Evaluation List (ISEL-12) was used as a measure of social support. Other survey items included questions on demographic variables (i.e., marital status, employment, residency, history of incarceration) as well as substance use and mental health service utilization. Age, race/ethnicity, Model for End-Stage Liver Disease (MELD) score, insurance status, and transplant wait list time were extracted from patient medical records. A total of 67 individuals were surveyed.

The data includes, for each designated geographic area, employment and payroll data organized by NAICS. The North American Industry Classification System (NAICS) is used by the United States, Canada, and Mexico to classify businesses by industry. "This data is useful for studying the economic activity of small areas; analyzing economic changes over time; and as a benchmark for other statistical series, surveys, and databases between economic censuses. Businesses use the data for analyzing market potential, measuring the effectiveness of sales and advertising programs, setting sales quotas, and developing budgets. Government agencies use the data for administration and planning." (from website)

The Medical Expenditure Panel Survey (MEPS) is a set of large-scale surveys of families and individuals, their medical providers (doctors, hospitals, pharmacies, etc.), and employers across the United States. MEPS collects data on the specific health services that Americans use, how frequently they use them, the cost of these services, and how they are paid for, as well as data on the cost, scope, and breadth of health insurance held by and available to U.S. workers. The two major components of MEPS are the Household Component and the Insurance Component.

The World Health Survey was implemented by WHO in 2002–2004 in partnership with 70 countries to generate information on the health of adult populations and health systems. The total sample size in these cross-sectional studies includes over 300,000 individuals. Survey materials and data are available through the WHO World Health Survey Data Archive accessible from the WHS webpage. (From the WHO World Health Survey webpage).

The data, collected by survey, documents the perception that plastic surgery residents and fellows have of the training received in cosmetic surgery. Plastic surgery graduates who had completed either residency or fellowship training were identified through the list of candidates eligible for the 2017 oral examination in the United States as listed on the American Board of Plastic Surgery Annual Newsletter. An electronic 16 question survey was then sent to the eligible plastic surgeons.

This study aimed to clarify the extent to which surgeons are trained in operating room hazards and assess the self-reported exposure rate across surgical specialties and academic levels. The authors implemented a cross-sectional electronic 21-item questionnaire, through Qualtrics, to surgical attendings, fellows, and residents from June to August 2019 at Johns Hopkins Hospital and affiliated hospitals. The survey evaluated 13 occupational hazards: bloodborne pathogens, surgical smoke, ergonomics, radiation, sharp injuries, inhalation exposure to methylmethacrylate, cytotoxic drugs, formaldehyde, patient lifting, prolonged standing, surgical hand scrub, surgical noise, and anesthetic gases. Data was analyzed using IBM's Statistical Package for the Social Sciences (SPSS).

A cross-sectional questionnaire was performed between May and August 2021 involving 206 nurses and physicians working in intensive care units (ICUs) in a large urban academic hospital. The study used the Ethical Decision-Making Climate Questionnaire (EDMCQ), the Measure of Moral Distress for Healthcare Professionals (MMD-HP) tool, and Pearson’s correlation coefficient to study the respondents' ethical climate, moral distress, and intention to leave their jobs between the different ICU types. The questionnaire collected answers through SurveyMonkey.

An institutional-based cross-sectional study was conducted to assess the prevalence of self-reported symptoms of depression, anxiety, and stress during the COVID-19 pandemic among 846 healthcare workers (HCWs) in central Ethiopia. From June 25, 2020, to July 25, 2020, an online survey was administered to collect self-reported data using the Depression, Anxiety, and Stress Scale (DASS-21). Data were cleaned, coded, and analysed using SPSS Version 23. A multivariable logistic regression analysis was done to identify the associated factors for mental health outcomes at a p-value of less than 0.05.

Survey data of psychometric properties was evaluated to investigate the prevalence of research misbehaviors in the Middle East. The survey implemented an "attitude" scale, a 21 question survey using a five-point Likert scale. The 254 respondents included academic faculty, individuals with master's and PhD degrees, postdoctoral students, senior undergraduates, and individuals working in research positions. The attitude scale was adapted from a prior questionnaire survey - A Cross-Sectional Survey Study to Assess Prevalence and Attitudes Regarding Research Misconduct among Investigators in the Middle East doi /10.1007/s10805-017-9295-9