Best Practices to Reduce COVID-19 in Group Homes for Individuals with Serious Mental Illness and Intellectual and Developmental Disabilities, Massachusetts, 2021-2022 (ICPSR 39404)
The overall goal for this project was to reduce the incidence of COVID-19, hospitalization, and mortality among adults with serious mental illness (SMI) and intellectual disabilities/developmental disabilities (IDD) in congregate living settings (i.e., group homes) in Massachusetts, as well as to reduce COVID-19 incidence among staff who work in these settings. The research team was guided by two comparative effectiveness questions:
- With the goal of prioritizing and making actionable best practices available as resources, what is the comparative effectiveness of various types and intensities of preventative interventions (e.g., screening, isolation, contact tracing, hand hygiene, physical distancing, use of face masks) in reducing rates of COVID-19, related hospitalizations, and related mortality in this population?
- With the goal of effectively implementing best practices, what is the most effective implementation strategy to reduce rates of COVID-19 in this population: using tailored best practices (TBP) with SMI/IDD residents and staff of group homes in mind, or general best practices (GBP) from state and federal standard guidelines for all congregate care settings?
The specific aims of this study were as follows:
Aim 1a. Synthesize existing baseline data collected by 6 state behavioral health agencies on COVID-19 rates, hospitalization, mortality, and use of infection prevention practices.
Aim 1b. Collect stakeholder input via surveys and virtual focus groups on staff and resident experiences and on barriers/facilitators to implementing recommended preventative practices.
Aims 2a and 2b. Determine the comparative effectiveness of various COVID-19 preventative practices by (Aim 2a) using a validated simulation model to estimate COVID-19 spread in group homes and (Aim 2b) obtaining stakeholder input on prioritizing and defining tailored best practices for implementation.
Aim 3. Compare the effectiveness of TBPs with GBPs by using a hybrid effectiveness-implementation cluster randomized controlled trial.
Data collected to answer Aims 1 and 2 served as the foundation for designing the Aim 3 trial. Data for the trial were collected in 3-month intervals beginning January 2021 (baseline) until October 2022 (15-month follow-up). Residents and staff were sampled from approximately 400 group homes. Primary implementation outcome measures were COVID-19 vaccination rates and fidelity scores. The primary effectiveness outcome measure was COVID-19 infection.
Notes: This collection contains only data from Aim 1a and Aim 3. Throughout the data and documentation, "intellectual and/or developmental disabilities" is abbreviated as both IDD and ID/DD.
CBS News/60 Minutes/Vanity Fair National Poll, November #2, 2011 (ICPSR 34475)
Census of Juveniles in Residential Placement and Juvenile Residential Facility Census, 1997-2010 -- Concatenated Matched Data [United States] (ICPSR 27543)
Census of Juveniles in Residential Placement and Juvenile Residential Facility Census, 1997-2010 -- Concatenated Matched Facility-Level Data [United States] (ICPSR 27544)
Census of Juveniles in Residential Placement and Juvenile Residential Facility Census, 1997-2010 -- Concatenated Matched State-Level Data [United States] (ICPSR 27545)
COEP Replication package for "Indoor Vaccine Mandates in U.S. Cities, Vaccination Behavior, and COVID-19 Outcomes" (ICPSR 238877)
Comparing Patient-reported Impact of COVID-19 Shelter-in-place Policies and Access to Containment and Mitigation Strategies Overall and in Vulnerable Populations, United States, 2020-2022 (ICPSR 39218)
The COVID-19 Citizen Science (CCS) Study was launched early in the pandemic to collect patient-reported information about exposures, risk behaviors and outcomes relevant to the pandemic. The Patient-Centered Outcomes Research Institute (PCORI) funded the research team to expand recruitment into CCS using PCORnet, the National Patient-Centered Clinical Research Network, and to use the resulting data to compare the patient-reported impact of pandemic associated policies. The research team systematically collected pandemic-associated policies enacted by counties across the United States (focusing in areas where there were many CCS participants), and to do so on a weekly basis from the beginning of the pandemic using publicly available sources.
Researchers combined data from various sources to answer two primary research questions (RQ):
- What is the comparative impact of different shelter-in-place/reopening policies, overall and in vulnerable populations, on patient-reported financial insecurity, mental health, and other subjective outcomes important to patients?
- What is the comparative effectiveness of county-level containment and mitigation strategies at achieving timely access to COVID-19 vaccination, testing, healthcare, information and contact tracing?
The research team collected patient-reported data from the CCS study and policy data from the U.S COVID-19 County Policy (UCCP) database. Electronic health record (EHR) data were also available from some participants recruited from health systems located across 7 U.S. states who consented and authorized use of these data for the study. Data for these participants were extracted from the PCORnet Common Data Model (CDM). Additional county-level contextual variables were included in analysis.
This collection contains CCS survey data on patient-reported anxiety with county-level policies data (DS1), respondent demographics (DS2), baseline survey results (DS3), daily (DS4) and weekly (DS5) COVID-19 symptoms reports, COVID-19 vaccination surveys repeated monthly (DS6) as well as a one-time vaccination survey (DS7), and pandemic impacts check-in surveys (DS8). CDM datasets include logistic regression model outcomes to predict study enrollment among all invited participants (DS9), codes for immunizations (DS10), laboratory tests (DS11), and procedures (DS12). County-level variables are also available for years 2021 (DS13) and 2023 (DS14).
COVID-19 Trends and Impact Survey (CTIS), Global, 2020-2022 (ICPSR 39206)
The COVID-19 Trends and Impact Survey (CTIS) was conducted by the Delphi Group at Carnegie Mellon University (CMU) in the United States (US) and by the University of Maryland (UMD) Social Data Science Center (SoDa) globally, in partnership with Meta. CTIS was a daily repeated cross-sectional survey that ran continuously starting April 6, 2020 in the US and starting April 23, 2020 globally. Both surveys concluded data collection on June 25, 2022. CTIS collected data in 200+ countries and territories, including 114 where Meta provided survey weights. The sampling frame was Facebook users aged 18 years or older who have been active on the platform in the last month. Sampled Facebook users saw the invitation at the top of their Feed, but the surveys were collected by the universities using Qualtrics. Meta neither collected nor received survey responses. The sample was stratified by subnational regions. Respondents were sampled as frequently as every month and as infrequently as every six months, depending on the population density of the subnational region in which they lived. Due to the minimum sampling frequency, pooled analyses should not combine more than a month of data. There were 12 versions of the survey questionnaires. The Delphi US CTIS was translated into 8 languages. The UMD Global CTIS was translated into 66 languages.
This collection is comprised of three categories of data:
a. Individual-level microdata files, which will be available to eligible academic and nonprofit researchers with fully executed Data Use Agreements (DUAs).
b. Daily aggregate estimates at the country and subnational region levels disseminated via public APIs at CMU and UMD.
c. Weekly and monthly aggregate estimates broken out by respondent characteristics (e.g., age, gender, vaccination status) at the country and subnational administrative level-1 region-level disseminated via publicly available CSV-formatted contingency tables.
This collection currently only contains the aggregate data, contingency tables and associated documentation. The microdata are forthcoming.
COVID-19 Trends and Impact Survey (CTIS), United States, 2020-2022 (ICPSR 39207)
The United States COVID-19 Trends and Impact Survey (CTIS) was a voluntary survey of Facebook users in the United States conducted from April 2020 to June 2022. CTIS was intended to aid in pandemic forecasting and response at fine spatiotemporal detail. Through collaboration with Meta, it randomly sampled Facebook active users at a rate sufficient to provide roughly 35,000 responses per day, on average. Survey questions covered topics including COVID-like symptoms, behavior (such as social distancing), COVID testing, mental health, health-related beliefs, trust in officials and information sources, schooling, vaccination acceptance and hesitancy, and related subjects. Respondents provided their ZIP code. Demographic variables include age, gender, education, race/ethnicity, and occupation. Meta generated survey weights to correct for non-response and to match the US adult population age and gender distribution.
The 27 datasets make up the microdata. Users should see the Microdata User Guide for documentation on the use and interpretation of the microdata files.
Two zip files are available for public download: a monthly data zip file and a weekly data zip file. These include the aggregate data. To access these files, go to the "Download" tab and select "Other." Ensure you have enough storage space before proceeding, as the files are large.
COVID-19 U.S. State Policy Database, 2020-2022 (ICPSR 39377)
COVID Behind Bars: Transparency of COVID Data in Juvenile Justice Facilities, United States, 2022 (ICPSR 38738)
Detroit Metro Area Communities Study (DMACS) Wave 12, Michigan, 2021 (ICPSR 38199)
Detroit Metro Area Communities Study (DMACS) Wave 14, Michigan, 2021 (ICPSR 38970)
The Detroit Metro Area Communities Study (DMACS) is a panel survey of Detroit residents aged 18 and older. The original panel of respondents was drawn from an address-based probability sample of all occupied Detroit households in 2016 and has since been refreshed through additional address-based sampling annually. Between November 3 and December 15, 2021, 2,662 previously-enrolled panelists were invited to participate in a self-administered online or interviewer-administered telephone survey. A total of 1,900 Detroit residents completed the survey, yielding an overall response rate of 72% (using AAPOR Response Rate 1).
Topics include experience with COVID-19; COVID-19 vaccine receipt, attitudes and trust; employment and economic precarity; neighborhood satisfaction; neighborhood change; as well as healthcare usage; the Child Tax Credit; and Digital Inclusion.
Detroit Metro Area Communities Study (DMACS) Wave 15, Michigan, 2022 (ICPSR 38840)
Detroit Metro Area Communities Study (DMACS) Wave 16, Michigan, 2023 (ICPSR 38892)
East Asian Social Survey (EASS), Cross-National Survey Data Sets: Health and Society in East Asia, 2010 (ICPSR 34608)
Euro-Barometer 32: The Single European Market, Drugs, Alcohol, and Cancer, November 1989 (ICPSR 9519)
Examining the Institutional Medical Mistrust Scale (IMMS) in the COVID-19 Pandemic, United States, 2022 (ICPSR 39469)
The objective of this study is to validate the Institutional Medical Mistrust Scale (IMMS) using a large, national population to better understand issues of public trust in healthcare and government organizations. The aims of this study are: (1) conduct a national population survey using the IMMS; (1a) examine the influence that healthcare organizations and governing institutions at the local, state, and federal level have on medical mistrust during the COVID-19 pandemic in the United States; (1b) test the psychometrics of the IMMS in a large national survey; (2) test the IMMS in a national population with intentional oversampling of African American/Black, Latinx, and chronic disease respondents in the United States.
The endpoints for this study are divided into psychosocial measures as well as physical measures including: (1) measurement of institutional medical mistrust among health care and local/state and federal government organizations; (2) mental and physical health; (3) vaccine uptake or hesitation; (4) factors associated with vaccine uptake or hesitation.
Health and Healthcare Behavior During the COVID-19 Pandemic, United States, 2020-2023 (ICPSR 39822)
HERO Registry: Creating and Using a Community Registry to Understand the Experiences of Healthcare Workers and Their Communities during COVID-19, United States, 2020-2022 (ICPSR 39153)
To study the impact of COVID-19 pandemic on frontline healthcare workers in the United States over time, the Healthcare Worker Exposure Response and Outcomes (HERO) Registry was created in 2020 to form a virtual research community of healthcare workers (and later, their family members and community members). The registry was intended for healthcare workers interested in completing research studies related to the COVID-19 pandemic and its impacts on their lives. Observational data were collected at various timepoints between April 2020 and September 2022 via web-based questionnaires available on the HERO Registry online portal.
This collection contains 39 sets of data from over 50,000 HERO Registry members. Datasets represent separate surveys with distinct survey designs and sampling criteria. Surveys focused on health history, workplace experiences, COVID-19 exposure, social support, mental health, and the respondents' willingness to remain in or leave the healthcare field. Datasets 24 through 39 represent "hot topics" such as vaccines, vaccine willingness and uptake, childcare and school arrangements, and staffing shortages. Datasets for registry administration, respondent demographics, and survey eligibility criteria are also included.
Influence of the COVID-19 Pandemic on New York City Public School Children's Longitudinal Health and Education Outcomes, 2020-2022 (ICPSR 38856)
This study examines how significant disruptions to children's health, education, and overall well-being during the COVID-19 pandemic created lasting influence on health, development, and social trajectories through the lifecourse, and the risk for long-term health outcomes. The research leverages the New York City (NYC) Student Population Health Registry (SPHR), a uniquely inclusive, longitudinal database of all NYC public school students created jointly by the NYC Department of Health and Mental Hygiene and NYC Department of Education, along with other publicly available data sources.
Research to date has focused on racial and geographic disparities in school-level vaccination rates, and on racial and ethnic group differences in New York City schoolchildren becoming fully vaccinated (two doses) within 6 months of vaccine eligibility. Future research is expected to focus on outcomes such as increased incidence and exacerbation of chronic diseases like obesity, asthma, and diabetes; stress and anxiety; and educational consequences such as declines in academic achievement (test scores), increases in chronic absenteeism, repeating grades, or high school dropout. Also of interest are the mitigating effects of child-, classroom-, and school-level vaccination rates, and neighborhood and school characteristics such as income, vaccination sites, emergency food resources, and open space.
The ICPSR provides variable-level metadata for the data associated with this study. The actual data may only be available from the Principal Investigator directly. The variable descriptions available through ICPSR also include information regarding the source of each variable listed, as does the Data Source field of these metadata.
Juvenile Residential Facility Census, 2000-2010 -- Concatenated Data [United States] (ICPSR 27542)
Juvenile Residential Facility Census, 2000-2010 -- Concatenated State-Level Data [United States] (ICPSR 27546)
Juvenile Residential Facility Census, 2004 [United States] (ICPSR 25282)
Juvenile Residential Facility Census, 2006 [United States] (ICPSR 25981)
National Health and Nutrition Examination Survey (NHANES), 1999-2000 (ICPSR 25501)
National Health and Nutrition Examination Survey (NHANES), 2001-2002 (ICPSR 25502)
National Health and Nutrition Examination Survey (NHANES), 2003-2004 (ICPSR 25503)
The National Health and Nutrition Examination Surveys (NHANES) is a program of studies designed to assess the health and nutritional status of adults and children in the United States. The NHANES combines personal interviews and physical examinations, which focus on different population groups or health topics. These surveys have been conducted by the National Center for Health Statistics (NCHS) on a periodic basis from 1971 to 1994. In 1999 the NHANES became a continuous program with a changing focus on a variety of health and nutrition measurements which were designed to meet current and emerging concerns. The surveys examine a nationally representative sample of approximately 5,000 persons each year. These persons are located in counties across the United States, 15 of which are visited each year.
For NHANES 2003-2004, there were 12,761 persons selected for the sample, 10,122 of those were interviewed (79.3 percent) and 9,643 (75.6 percent) were examined in the mobile examination centers (MEC). Many of the NHANES 2003-2004 questions were also asked in NHANES II 1976-1980, Hispanic HANES 1982-1984, NHANES III 1988-1994, and NHANES 1999-2002. New questions were added to the survey based on recommendations from survey collaborators, NCHS staff, and other interagency work groups. As in past health examination surveys, data were collected on the prevalence of chronic conditions in the population. Estimates for previously undiagnosed conditions, as well as those known to and reported by survey respondents, are produced through the survey. Risk factors, those aspects of a person's lifestyle, constitution, heredity, or environment that may increase the chances of developing a certain disease or condition, were examined. Data on smoking, alcohol consumption, sexual practices, drug use, physical fitness and activity, weight, and dietary intake were collected. Information on certain aspects of reproductive health, such as use of oral contraceptives and breastfeeding practices, were also collected. The diseases, medical conditions, and health indicators that were studied include: anemia, cardiovascular disease, diabetes and lower extremity disease, environmental exposures, equilibrium, hearing loss, infectious diseases and immunization, kidney disease, mental health and cognitive functioning, nutrition, obesity, oral health, osteoporosis, physical fitness and physical functioning, reproductive history and sexual behavior, respiratory disease (asthma, chronic bronchitis, emphysema), sexually transmitted diseases, skin diseases, and vision. The sample for the survey was selected to represent the United States population of all ages. Special emphasis in the 2003-2004 NHANES was on adolescent health and the health of older Americans. To produce reliable statistics for these groups, adolescents aged 15-19 years and persons aged 60 years and older were over-sampled for the survey. African Americans and Mexican Americans were also over-sampled to enable accurate estimates for these groups. Several important areas in adolescent health, including nutrition and fitness and other aspects of growth and development, were addressed. Since the United States has experienced dramatic growth in the number of older people during the twentieth century, the aging population has major implications for health care needs, public policy, and research priorities. NCHS is working with public health agencies to increase the knowledge of the health status of older Americans. NHANES has a primary role in this endeavor. In the examination, all participants visit the physician who takes their pulse or blood pressure. Dietary interviews and body measurements are included for everyone. All but the very young have a blood sample taken and see the dentist. Depending upon the age of the participant, the rest of the examination includes tests and procedures to assess the various aspects of health listed above. Usually, the older the individual, the more extensive the examination. Some persons who are unable or unwilling to come to the examination center may be given a less extensive examination in their homes.
Demographic data file variables are grouped into three broad categories: (1) Status Variables: provide core information on the survey participant. Examples of the core variables include interview status, examination status, and sequence number. (Sequence number is a unique ID assigned to each sample person and is required to match the information on this demographic file to the rest of the NHANES 2003-2004 data). (2) Recoded Demographic Variables: these variables include age (age in months for persons through age 19 years, 11 months; age in years for 1- to 84-year-olds, and a top-coded age group of 85 years of age and older), gender, a race/ethnicity variable, current or highest grade of education completed, (less than high school, high school, and more than high school education), country of birth (United States, Mexico, or other foreign born), Poverty Income Ratio (PIR), income, and a pregnancy status variable (adjudicated from various pregnancy related variables). Some of the groupings were made due to limited sample sizes for the two-year data set. (3) Interview and Examination Sample Weight Variables: sample weights are available for analyzing NHANES 2003-2004 data. For a complete listing of survey contents for all years of the NHANES see the document -- Survey Content -- NHANES 1999-2010.
National Health and Nutrition Examination Survey (NHANES), 2005-2006 (ICPSR 25504)
National Health and Nutrition Examination Survey (NHANES), 2007-2008 (ICPSR 25505)
National Health Interview Survey, 1989: Immunization Supplement (ICPSR 9707)
National Health Interview Survey, 1991: Child Health Supplement (ICPSR 6052)
National Health Interview Survey, 1992: Immunization Supplement (ICPSR 6348)
National Health Interview Survey, 1993: Immunization Supplement (ICPSR 6530)
National Health Interview Survey, 1994: Immunization Supplement (ICPSR 6872)
National Health Interview Survey, 1995: Immunization Supplement (ICPSR 2529)
National Health Interview Survey, 1996: Immunization Supplement (ICPSR 2659)
National Immunization Survey (NIS), 1995 (ICPSR 3875)
National Immunization Survey (NIS), 1996 (ICPSR 3876)
National Immunization Survey (NIS), 1997 (ICPSR 3877)
National Immunization Survey (NIS), 1998 (ICPSR 3878)
National Immunization Survey (NIS), 1999 (ICPSR 3861)
National Immunization Survey (NIS), 2000 (ICPSR 3862)
National Immunization Survey (NIS), 2001 (ICPSR 3831)
National Immunization Survey (NIS), 2002 (ICPSR 3830)
National Immunization Survey (NIS) Child - Data and Documentation 1995-2026 (ICPSR 248444)
National Immunization Survey (NIS) Teen - Data and Documentation 2008-2026 (ICPSR 248453)
New York City Health and Nutrition Examination Survey (NYC HANES), 2004 (ICPSR 31421)
Process Evaluation of an In-person Versus Webinar Human Papillomavirus (HPV) Vaccination Quality Improvement Program (Illinois, Michigan and Washington State), 2015-2016 (ICPSR 36757)
These data were collected as part of an assessment of in-person and webinar AFIX consultations on best practices for adolescent HPV immunization. AFIX (which stands for Assessment, Feedback, Incentives, and eXchange) is a program of the Center for Disease Control and Prevention aimed at increasing vaccination of children and adolescents by reducing missed opportunities to vaccinate and improving immunization delivery practices at the provider level.
High-volume primary care clinics serving over 370,000 patients ages 11-17 in three states were randomly assigned to receive no consultation or an in-person or webinar AFIX consultation focused on improving adolescent HPV immunization. Immunization specialists from participating state health departments delivered the consultations. Physicians, nurses and other clinic staff in the in-person and webinar arms who participated in the consultation sessions completed web-based surveys pre-consultation (pre-visit survey), post-consultation (post-visit survey) and at six-month follow up (follow-up survey). Topics covered by the surveys include participation in and satisfaction with the assigned consultation delivery mode; strategies for improving HPV vaccination coverage used by the respondents' clinics; opinions about the level of HPV vaccination coverage in the respondents' clinics; and the respondents' self-efficacy for improving HPV vaccination coverage.
Project Migrante: Health Status and Access to Health Care Among Migrants on Mexico's Northern Border, 2020-2021 (ICPSR 38601)
The Migrante Project is a binational study that examines health status and access to health care among Mexican migrants. Since 2007, Migrante investigators have implemented a series of cross-sectional probability-based surveys on Mexico's northern border. The current phase of Migrante includes three survey waves (N=1,200 each), each focused on a specific topic area. Data for the Wave I survey focused on HIV and sexual/reproductive health. Wave II is focused on non-communicable disease. Data collection for this wave is ongoing. Wave III (data to be collected in 2023) will focus on mental health and substance use. All surveys contain additional questions on socio-demographics, health status, health care access, migration history, and contextual factors related to migration stage. All waves also include biometric testing (for example, rapid HIV testing). Participants are sampled from four different migrant flows:
- Northbound flow: Migrants traveling north and arriving at the border from other regions in Mexico
- Southbound flow - Border: Migrants traveling from the Mexico side of the Mexico-US border to points farther south
- Southbound flow - U.S.: Migrants returning to Mexico from the U.S. voluntarily
- Deported flow: Migrants returning to Mexico from the U.S via deportation
The data herein come from the Wave I survey and were collected in Tijuana, Matamoros, and Ciudad Juárez, Mexico between August 2020 and September 2021. The study employed a multistage sampling design, with a combination of geographic and temporal sampling units, modeled after the Encuesta sobre Migración en la Frontera Norte de México (EMIF Norte). Migrante sampling sites for Wave I included bus stations, airports, and deportation stations in each of the three cities.
Eligible individuals were at least 18 years old, born in Mexico or other Latin American countries, fluent in Spanish, not residents of the city where the survey is being conducted (except for deported migrants), and traveling for labor reasons or change of residence. In total, there were 1,398 observations (northbound flow N=347, southbound flow N=703, and deported flow N=348) in Wave I, with 1,257 individuals completing the Wave I survey. Three hundred and six of these individuals belonged to the deported flow, 306 to the northbound flow, 336 to the southbound border flow, and 309 to the southbound U.S. flow. Consent rates ranged from 13% to 98% depending on the flow and survey city. Migrante surveys can be used to produce population-level estimates of health outcomes and health care access, investigate variations across migration phases, and explore the impact of health care and immigration policies on migrants' health outcomes, healthcare access, and individual and environmental health determinants.