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Based on the state of the scientific evidence, the Sequenced Treatment Effectiveness for Posttraumatic Stress (STEPS) Trial was designed to address three specific aims. The first aim was to quantitatively compare engagement, self-reported PTSD symptom severity (primary outcome), quality of life, and recovery outcomes of primary care patients randomized to initially receive brief psychotherapy (Written Exposure Therapy - WET) or their choice of the three selective serotonin reuptake inhibitors (SSRIs). The second aim was, among patients not responding to initial treatment, to quantitatively compare outcomes of primary care patients randomized to: 1) augment the SSRI with WET, 2) switch from the SSRI to another class of antidepressants (serotonin-norepinephrine reuptake inhibitors - SNRI), or 3) switch from WET to the choice of the three SSRIs. The third specific aim was to quantitatively examine treatment heterogeneity among subgroups of primary care patients receiving pharmacotherapy and psychotherapy, including veterans, women, and those using cannabis.

This dataset contains measures of the number and density of hospitals per United States Census Tract or ZIP Code Tabulation Area (ZCTA) in 2023. The dataset includes four separate files for four different geographic areas (GIS shapefiles from the United States Census Bureau). The four geographies include:

• Census Tract 2010
• Census Tract 2020
• ZIP Code Tabulation Area (ZCTA) 2010
• ZIP Code Tabulation Area (ZCTA) 2020

• Census Tract 2010
• Census Tract 2020
• ZIP Code Tabulation Area (ZCTA) 2010
• ZIP Code Tabulation Area (ZCTA) 2020

The University of Pennsylvania Health System (Penn Medicine) developed COVID Watch, an automated text message-based, remote monitoring program with 24/7 clinical support. Remote outpatient monitoring of patients with COVID-19 became needed because patients with SARS-CoV-2 infection can decline rapidly and unpredictably, and because of their own limited capacity to manage acute symptoms and concerns about staff safety, office-based outpatient practices often redirect patients with confirmed or suspected COVID-19 to hospitals. As a result, emergency departments (EDs) and hospitals became overwhelmed during surge periods of high community incidence rates and prevalence. Remote monitoring has the potential to facilitate ED- and hospital-level care for patients who require it while supporting access to care for patients who can safely remain at home.

This study compared outcomes for patients enrolled in COVID Watch with those of patients who were eligible to enroll but received usual care, with the hypothesis that enrollment in COVID Watch was associated with reduced mortality. The present research examined whether patients with COVID-19 who were enrolled in COVID Watch experienced better health outcomes compared with usual care (Aim 1) and whether augmenting COVID Watch with at-home monitoring of SpO2 (blood-oxygen saturation) improves patient outcomes (Aim 2).

Tsogolo la Thanzi (TLT) was a longitudinal study in Balaka, Malawi designed to examine how young people navigate reproduction in an AIDS epidemic. Tsogolo la Thanzi means "Healthy Futures" in Chichewa, Malawi's most widely spoken language. This particular study contains the Verbal Autopsy data providing information on 36 respondents who died over the study period (2009-2019). These 36 individuals were known to be deceased through recruitment efforts to re-interview the person during a subsequent wave of data collection. However, not all groups of respondents were re-interviewed in 2012, 2015, and 2019. Therefore, the total number of deaths from the original sample is potentially more than what is reported in this particular study. The 36 verbal autopsy cases in this study represent known deaths, and should not be interpreted as an inventory of all deaths that occurred.

The First Baby Study (FBS) was a prospective cohort study designed to investigate the association between mode of delivery at first childbirth (cesarean or vaginal) and subsequent fecundity and fertility over the course of a 3-year follow-up period. Women were enrolled during pregnancy and interviewed by telephone in their third trimester. Enrolled participants were followed-up with and surveyed at 1, 6, 12, 18, 24, 30 and 36 months postpartum. Participants were enrolled in 2009 to 2011 and the last interview was conducted in 2014.

Childbirth is the most common reason for hospital admission in the United States (US) and the timing of admission influences the management and outcomes of labor, including rates of cesarean delivery. Although cesareans are life saving in emergency situations, the current prevalence and variability leads to excess risk for morbidity and mortality as well as higher health care costs in comparison to vaginal deliveries. Delaying hospital admission of women in latent labor is one of the most widely promoted strategies to reduce the likelihood of caesarean birth and its safety is established. Yet, trials of interventions that have aimed to reduce early admissions and the subsequent rates of medical intervention in labor have not succeeded. One proposed explanation is that the evaluated interventions exclusively focused on clinician assessment and diagnosis of active labor in hospital settings. The interventions did not fully account for women's recognition and response to the onset of labor, which is initially negotiated by the laboring women and members of her social network in settings outside the hospital. To develop efficacious strategies to reduce the likelihood of cesarean delivery, a qualitative understanding of why some women present early in labor and others later, and what can be done to promote timely hospital admission among medically low-risk nulliparous women is needed.

Specific Aim I: Determine the decision-making criteria and sequence of decision criteria used by women choosing either to go to the hospital or stay at home in early labor.

Specific Aim II: Determine the degree to which a symptom and labor management taxonomy accurately reflects women's experience with the recognition and response to early labor prior to hospital admission.

The Comprehensive Post-Acute Stroke Services (COMPASS) Study is a pragmatic cluster-randomized clinical trial that evaluated the real-world effectiveness of the COMPASS transitional care (COMPASS-TC) model compared to usual care among adult stroke and transient ischemic attack (TIA) patients discharged home between 2016 and 2018. In Phase 1, 40 North Carolina hospital units were randomized 1:1 to the COMPASS-TC intervention or usual care, stratified by stroke patient volume and stroke center certification. In Phase 2, hospitals randomized to usual care crossed over to implement COMPASS-TC, and hospitals randomized to the intervention sustained COMPASS-TC. The intervention was patient-centered and assessed social and functional determinates of health to inform individualized care plans for secondary prevention, recovery, and referrals to services and community-based resources. COMPASS-TC was consistent with Centers for Medicare and Medicaid Services (CMS) TC management reimbursement requirements.

The primary outcome was functional status (Stroke Impact Scale-16; SIS-16) at 90 days; secondary outcomes were mortality, disability, medication adherence, depression, cognition, self-rated health, fatigue, care satisfaction, home blood pressure monitoring, falls, and caregiver strain. Telephone interviewers, blinded to treatment assignment, assessed these outcomes at 90 days.

A social work advisory group recently proposed 41 generalist-level palliative social work activities applicable to any venue, including hospital-based social work, but this applicability has not been empirically tested. The researchers used critical realist grounded theory analysis of qualitative interviews to explore whether the activities proposed by the advisory group reflect inpatient social workers' perceptions of their generalist-level palliative activities when caring for patients alongside specialist-level palliative social workers. Fourteen Masters-educated social workers from six hospitals in the state of Michigan participated.

The research demonstrated that inpatient social workers find it challenging to engage in specific generalist-level palliative social work activities; provision of generalist-level palliative services is shaped by discharge planning duties, the consultation model, and the concentrated role of specialist-level palliative social workers. Competency in cultural and spiritual aspects of care could be lacking.

The purpose of this study was to describe what newly licensed registered nurses (NLRN) working in hospitals learned about quality improvement in their education programs and workplaces. The survey was administered to nurses working in a hospital who participated in the second wave (ICPSR 36812) of the Newly Licensed Registered Nurse Survey series. This was part of a ten year panel survey. Quality improvement topics covered by the survey include:

• patient-centered care
• evidence-based practice
• standardized practices for restrain and seclusion, infection control and pain management
• use of information technology or strategies to reduce reliance on memory
• participation in analyzing errors and designing system improvements
• use of national patient safety resources, initiatives or regulations
• use of specific quality improvement models

A Data Guide for this study is available as a web page and for download. The India Human Development Survey-II (IHDS-II), 2011-12 is a nationally representative, multi-topic survey of 42,152 households in 1,503 villages and 971 urban neighborhoods across India. These data are mostly re-interviews of households interviewed for IHDS-I (ICPSR 22626) in 2004-05. Two one-hour interviews in each household covered topics concerning health, education, employment, economic status, marriage, fertility, gender relations, social capital, village infrastructure, wage levels, and panchayat composition. Children aged 8-11 completed short reading, writing and arithmetic tests.

The IHDS-II data are assembled in fourteen datasets:

1. Individual
2. Household
3. Eligible Women
4. Birth History
5. Medical Staff
6. Medical Facilities
7. Non Resident
8. School Staff
9. School Facilities
10. Wage and Salary
11. Tracking
12. Village
13. Village Panchayat
14. Village Respondent

These data are being released in BETA version to facilitate early access to the study for research purposes. This collection has not been fully processed by NACDA or ICPSR at this time; the original materials provided by the principal investigator were minimally processed and converted to other file types for ease of use. As the study is further processed and given enhanced features by ICPSR, users will be able to access the updated versions of the study. Please report any data errors or problems to user support and we will work with you to resolve any data related issues.

The National Health Interview Survey (NHIS) is conducted annually and sponsored by the National Center for Health Statistics (NCHS), which is part of the U.S. Public Health Service. The purpose of the NHIS is to obtain information about the amount and distribution of illness, its effects in terms of disability and chronic impairments, and the kinds of health services people receive across the United States population through the collection and analysis of data on a broad range of health topics. The redesigned NHIS questionnaire introduced in 1997 (see National Health Interview Survey, 1997 [ICPSR 2954]) consists of a core that remains largely unchanged from year to year, plus an assortment of supplements varying from year to year.

The 2010 NHIS Core consists of three modules: Family, Sample Adult, and Sample Child. The datasets derived from these modules include Household Level, Family Level, Person Level, Injury/Poison Episode Level, Injury/Poison Verbatim Level, Sample Adult Level, and Sample Child level.

The 2010 NHIS supplements consist of stand alone datasets for Cancer Level and Quality of Life data derived from the Sample Adult core and Disability Questions Tests 2010 Level derived from the Family core questionnaire. Additional supplementary questions can be found in the Sample Child dataset on the topics of cancer, immunization, mental health, and mental health services and in the Sample Adult dataset on the topics of epilepsy, immunization, and occupational health.

Part 1, Household Level, contains data on type of living quarters, number of families in the household responding and not responding, and the month and year of the interview for each sampling unit. Parts 2-5 are based on the Family Core questionnaire. Part 2, Family Level, provides information on all family members with respect to family size, family structure, health status, limitation of daily activities, cognitive impairment, health conditions, doctor visits, hospital stays, health care access and utilization, employment, income, participation in government assistance programs, and basic demographic information. Part 3, Person Level, includes information on sex, age, race, marital status, education, family income, major activities, health status, health care costs, activity limits, and employment status. Parts 4 and 5, Injury/Poisoning Episode Level and Injury/Poisoning Verbatim Level, consist of questions about injuries and poisonings that resulted in medical consultations for any family members and contains information about the external cause and nature of the injury or poisoning episode and what the person was doing at the time of the injury or poisoning episode, in addition to the date and place of occurrence.

A randomly-selected adult in each family was interviewed for Part 6, Sample Adult Level, regarding specific health issues, the relation between employment and health, health status, health care and doctor visits, limitation of daily activities, immunizations, and behaviors such as smoking, alcohol consumption, and physical activity. Demographic information, including occupation and industry, also was collected. The respondents to Part 6 also completed Part 7, Cancer Level, which consists of a set of supplemental questions about diet and nutrition, physical activity, tobacco, cancer screening, genetic testing, family history, and survivorship. Part 8, Sample Child Level, provides information from an adult in the household on medical conditions of one child in the household, such as developmental or intellectual disabilities, respiratory problems, seizures, allergies, and use of special equipment like hearing aids, braces, or wheelchairs.

Parts 9 through 13 comprise the additional Supplements and Paradata for the 2010 NHIS. Part 9, Disability Questions Tests 2010 Level, is a supplemental set of six questions asked at the end of the Family Core questionnaire about sensory, mobility, self-care, cognition, and independent living issues. Part 10, Paradata Level, does not contain health related information, but rather data which are related to the interview process, including measures of time, contact-ability, and cooperation. Please see the User Guide for additional information and details. Part 11, Quality of Life Level, was asked to a randomly selected subsection of the Sample Adult questionnaire. Respondents were asked about participation in society, degree of difficulty and functioning in activity domains including vision, hearing, mobility, upper body, learning, cognition, affect, pain, fatigue, and communication. Part 12, Special Sample Adult Disability Weights Level, contains weights for use with an analysis of the merged data from the Sample Adult Level and Disability Questions Tests 2010 Level. Part 13, Sample Child Birth Weights Level, contains corrected birth weight data for 2010. Please see the Survey Description files for additional information and details.

The Eurobarometer series is a unique cross-national and cross-temporal survey program conducted on behalf of the European Commission. These surveys regularly monitor public opinion in the European Union (EU) member countries and consist of standard modules and special topic modules. The standard modules address attitudes towards European unification, institutions and policies, measurements for general socio-political orientations, as well as respondent and household demographics. The special topic modules address such topics as agriculture, education, natural environment and resources, public health, public safety and crime, and science and technology.

This round of Eurobarometer surveys covered the following special topics: (1) Climate Change, (2) Agriculture, (3) Healthcare, and (4) Physical Activity. Respondents' opinions were collected regarding how serious an issue they considered climate change, who within the EU is responsible for addressing it, and what personal actions they have taken to fight climate change. Respondents were also questioned about the importance of agriculture in the EU, their opinions on agricultural policies such as the Common Agricultural Policy (CAP), the role of farmers in the EU, and the labeling of the place of origin for meat and dairy products. Additional questions were asked regarding patient safety, the quality of health care in the respondent's country compared to other countries, information sources used to assess the quality of hospitals, if the respondent or a family member had a surgical procedure, and whether the respondent or a family member experienced an adverse event when receiving health care. Lastly, respondents were queried about their level of physical activity, including how often and how vigorously they participated in activities, their opinions of exercise, how much time they spend sitting on an average day, any issues that prevent them from being physically active, and whether they volunteer in sporting activities.

Demographic and other background information collected includes age, gender, nationality, marital status, occupation, age when stopped full-time education, household composition, ownership of various goods, difficulties in paying bills, level in society, and Internet use. In addition, country-specific data includes type and size of locality, region of residence, and language of interview (select countries).

The National Health Interview Survey (NHIS) is conducted annually and sponsored by the National Center for Health Statistics (NCHS), which is part of the U.S. Public Health Service. The purpose of the NHIS is to obtain information about the amount and distribution of illness, its effects in terms of disability and chronic impairments, and the kinds of health services people receive across the United States population through the collection and analysis of data on a broad range of health topics. The redesigned NHIS questionnaire introduced in 1997 (see NATIONAL HEALTH INTERVIEW SURVEY, 1997 [ICPSR 2954]) consists of a Core that remains largely unchanged from year to year, plus an assortment of Supplements varying from year to year.

The 2011 NHIS Core components contain Household, Family, Person, Sample Adult, and Sample Child files. Each record in Part 1, Household Level, contains data on type of living quarters, number of families in the household responding and not responding, and the month and year of the interview for each sampling unit. Part 2, Family Level, is made up of reconstructed variables from the person-level data of the basic module and includes information on sex, age, race, marital status, education, veteran status, family income, family size, major activities, health status, health care costs, activity limits, and employment status, along with industry and occupation. As part of the basic module, Part 3, Person Level, provides information on all family members with respect to health status, limitation of daily activities, cognitive impairment, and health conditions. Also included are variables related to doctor visits, hospital stays, and health care access and utilization. Basic demographic information is provided as well.

A randomly-selected adult in each family was interviewed for Part 4, Sample Adult Level, regarding respiratory conditions, renal conditions, AIDS, joint symptoms, health status, health care and doctor visits, limitation of daily activities, and behaviors such as smoking, alcohol consumption, and physical activity. Part 5, Sample Child Level, provides information from an adult in the household on medical conditions of one child in the household, such as developmental or intellectual disabilities, respiratory problems, seizures, allergies, and use of special equipment like hearing aids, braces, or wheelchairs.

Parts 6 through 11 comprise the additional Supplements and Paradata for the 2011 NHIS. Part 6, Injury/Poison Episode, is an episode-based file that contains information about the external cause and nature of the injury or poisoning episode and what the person was doing at the time of the injury or poisoning episode, in addition to the date and place of occurrence. Part 7, Adult Disability Level and Part 8, Child Disability Level, are a supplemental set of six questions asked at the end of the Sample Adult and Sample Child Questionnaires for half of families that did not receive the Family Disability Supplement. These specific disability questions were only asked of the Sample Adult and the Sample Child. Part 9, Family Disability Level, seeks to identify the subpopulation that is at a greater risk than the general population of experiencing restrictions in social participation, for example, restrictions in employment, education, or civic life. Specific questions ask about respondent difficulty performing daily activities, such as dressing, bathing, or walking. Approximately one half of sample adults were selected to receive the Part 10, Adult Functioning and Disability Level Supplement. Questions were asked about a respondent's functioning in various basic and complex activity domains: vision, hearing, mobility, communication, cognition, upper body, affect, pain, and fatigue. This supplement also included questions designed to capture an individual's ability to participate in society. Follow-up questions on the degree of difficulty, use of assistive devices, and functioning with assistance were included for most domains. Part 11, Paradata Level, does not contain health related information, but rather data which are related to the interview process, including measures of time, contact-ability, and cooperation. Please see the User Guide for additional information and details.

The National Health Interview Survey (NHIS) is conducted annually by the National Center for Health Statistics (NCHS), Centers for Disease Control and Prevention (CDC). The main objective of the NHIS is to monitor the health of the United States population through the collection and analysis of data on a broad range of health topics.

The NHIS contains many similar questions every year. The repeated items are called "core questions." Beginning with a new NHIS design in 1997, these core questions were divided into three components -- Family, Sample Adult, and Sample Child.

The 2012 NHIS data release consists of six core data files, a paradata file, the three Disability Questions Tests files, a Functioning and Disability file, and two Complementary and Alternative Medicine files. Users may see the Survey Description document for more details.

The 2012 NHIS contains the core questions, as well as enhanced questions on health care access and utilization. Supplemental topics are covered in the following questionnaires: the Family questionnaire covers subjects of food security; the Sample Adult questionnaire covers subjects of immunization, complementary and alternative medicine, non-cigarette tobacco use, voice, speech, and language; and the Sample Child questionnaire covers subjects of mental health, mental health services, immunization, complementary and alternative medicine, balance, voice, speech, and language. Along with the 2012 NHIS core data files are the Disability Questions Tests 2012 files which contain person-level data collected via a field test of six disability questions. These supplemental questions appeared on the NHIS, at the end of the Family, Sample Adult, and Sample Child Cores.

The Disability Questions Tests 2012 files are released as three separate files. A fourth disability supplement was also fielded in 2012 as part of the Sample Adult Core and is called "Adult Functioning and Disability Level."

The Adult and Child Alternative Health Supplement files were intended to expand on knowledge of alternative medical services. Questions focus on how often various types of alternative therapies are used, the associated costs, and the reasons they are used.

Lastly, the Paradata Level file contains information about the survey and data collection processes; included are data on response rates, keystrokes, interview times, and number of contact attempts.

The Eurobarometer series is a unique cross-national and cross-temporal survey program conducted on behalf of the European Commission. These surveys regularly monitor public opinion in the European Union (EU) member countries and consist of standard modules and special topic modules. The standard modules address attitudes towards European unification, institutions and policies, measurements for general socio-political orientations, as well as respondent and household demographics. The special topic modules address such topics as agriculture, education, natural environment and resources, public health, public safety and crime, and science and technology.

This round of Eurobarometer surveys covers the following special topics: (1) E-Communications, and (2) Corruption. In regard to the E-Communications, respondents were queried about goods they own such as television, music player, DVD player, computer, household and mobile telephone. They were also asked about internet access and its use for phone calls, quality of their mobile network service as well as the cost and utility. In regard to corruption, respondents were asked if they were required to make an extra payment, gift or donation to a hospital or hospital staff for care. Opinions were collected on the degree of acceptable gift giving, scope of corruption in the country, change in corruption over the last three years, which groups are involved in widespread corruption and knowledge of case corruption and bribes for services.

Demographic and other background information collected includes age, gender, nationality, marital status, occupation, age when stopped full-time education, household composition, ownership of a fixed or a mobile telephone and other goods, difficulties in paying bills, level in society, and Internet use. In addition, country-specific data includes type and size of locality, region of residence, and language of interview (select countries).

In 2008, a group of uninsured low-income adults in Oregon was selected by lottery to be given the chance to apply for Medicaid. This lottery provides an opportunity to gauge the effects of expanding access to public health insurance on the health care use, financial strain, and health of low-income adults using a randomized controlled design. The Oregon Health Insurance Experiment follows and compares those selected in the lottery (treatment group) with those not selected (control group). The data collected and provided here include data from in-person interviews, three mail surveys, emergency department records, and administrative records on Medicaid enrollment, the initial lottery sign-up list, welfare benefits, and mortality.

This data collection has seven data files:

Dataset 1 contains administrative data on the lottery from the state of Oregon. These data include demographic characteristics that were recorded when individuals signed up for the lottery, date of lottery draw, and information on who was selected for the lottery, applied for the lotteried Medicaid plan if selected, and whose application for the lotteried plan was approved. Also included are Oregon mortality data for 2008 and 2009.

Dataset 2 contains information from the state of Oregon on the individuals' participation in Medicaid, Supplemental Nutrition Assistance Program (SNAP), and Temporary Assistance to Needy Families (TANF).

Datasets 3-5 contain the data from the initial, six month, and 12 month mail surveys, respectively. Topics covered by the surveys include demographic characteristics; health insurance, access to health care and health care utilization; health care needs, experiences, and costs; overall health status and changes in health; and depression and medical conditions and use of medications to treat them.

Dataset 6 contains an analysis subset of the variables from the in-person interviews. Topics covered by the survey questionnaire include overall health, health insurance coverage, health care access, health care utilization, conditions and treatments, health behaviors, medical and dental costs, and demographic characteristics. The interviewers also obtained blood pressure and anthropometric measurements and collected dried blood spots to measure levels of cholesterol, glycated hemoglobin and C-reactive protein.

Dataset 7 contains an analysis subset of the variables the study obtained for all emergency department (ED) visits to twelve hospitals in the Portland area during 2007-2009. These variables capture total hospital costs, ED costs, and the number of ED visits categorized by time of the visit (daytime weekday or nighttime and weekends), necessity of the visit (emergent, ED care needed, non-preventable; emergent, ED care needed, preventable; emergent, primary care treatable), ambulatory case sensitive status, whether or not the patient was hospitalized, and the reason for the visit (e.g., injury, abdominal pain, chest pain, headache, and mental disorders).

The collection also includes a ZIP archive (Dataset 8) with Stata programs that replicate analyses reported in three articles by the principal investigators and others:

Finkelstein, Amy et al "The Oregon Health Insurance Experiment: Evidence from the First Year". The Quarterly Journal of Economics. August 2012. Vol 127(3).

Baicker, Katherine et al "The Oregon Experiment - Effects of Medicaid on Clinical Outcomes". New England Journal of Medicine. 2 May 2013. Vol 368(18).

Taubman, Sarah et al "Medicaid Increases Emergency Department Use: Evidence from Oregon's Health Insurance Experiment". Science. 2 Jan 2014.