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This deposit contains research materials and documentation for a qualitative phenomenological study of girls’ education in rural Mardan, Khyber Pakhtunkhwa, Pakistan. The study examines how girls aged 13–18 and their female relatives navigate cultural norms, economic constraints, institutional barriers, mobility restrictions, family decision-making, and emotional experiences related to schooling. Data were collected through semi-structured Pashto interviews and field observations with girls, mothers, and grandmothers from 20 families. The deposited materials include the methodological appendix, interview guide, observation protocol, coding framework, and data access/restriction documentation. Raw interview recordings, full transcripts, and detailed field notes are not publicly deposited because the study involved minors and participants from small rural communities, and public release could create risks of direct or indirect identification.

This dataset contains measures of the number and density of health care services per United States Census Tract or ZIP Code Tabulation Area (ZCTA) from 1990 through 2022. The dataset includes four separate files for four different geographic areas (GIS shapefiles from the United States Census Bureau).

This study explores whether perinatal telehealth uptake has mitigated the pandemic's effects on disparities in maternal care access, quality, and outcomes by race, ethnicity, and rural or urban residence. Research to date has approached this question in several ways. First, researchers have utilized census data to assess whether community-wide broadband infrastructure exists to support the use of telehealth services in areas with high travel times to maternal care units. Findings suggest that socioeconomically disadvantaged communities face significant barriers to maternity care access, both with substantial travel burdens and inadequate digital access to facilitate telehealth services. Second, to examine maternal care quality, researchers have employed South Carolina hospital-based claims data and vital statistics to identify racial, ethnic, and urban/rural disparities in rates of cesarean delivery before and during the COVID-19 pandemic period. Results indicate that cesarean rates differed by rural vs. urban facility locations and racial and ethnic groups but observed disparities were not significantly exacerbated by the pandemic. Third, using South Carolina hospital-based claims data and COVID-19 testing data, researchers found significant racial, ethnic, and rural disparities in postpartum readmissions involving mental health and substance use disorders from childbirth discharge through one year postpartum during the COVID-19 pandemic. Finally, drawing on data from the National COVID Cohort Collaborative (N3C), research has shown that hybrid care increased substantially during the COVID-19 public health emergency, but pregnant people living in rural areas had lower levels of hybrid care than urban people, and individuals who belonged to racial and ethnic minority groups were more likely to have hybrid care than White individuals.

Future research will investigate the impact of the COVID-19 pandemic and perinatal telehealth uptake on additional maternity care and birth outcomes by race, ethnicity, and urbanicity. The study also aims to assess how state-level telehealth policies relate to perinatal telehealth uptake by race, ethnicity, and urbanicity, and to develop a model to predict long-term changes in maternal care access, quality, outcomes, and expenditures, with and without state telehealth policies.

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.

With the third highest rates of overdose fatalities in the state and complexities with providing treatment in a rural setting, Franklin County Sheriff's Office (FCSO) in Massachusetts made a strategic decision in 2011 to shift their jail facility away from simply operating as a place to contain people, to becoming a jail that played an important role in the treatment solution to the opioid use epidemic. After more than 10 years of this transformation, FCSO has been able to offer all three federally approved Medications for Opioid Use Disorders (MOUD) (i.e., buprenorphine, methadone, and naltrexone), provide high quality individual and group counseling, and facilitate a continuum of treatment care upon reentry. In 2020, at the height of the COVID-19 pandemic, FCSO capitalized on its previously built infrastructure and system partners to continue to offer its services. FCSO also continued offering individual and group counseling via telehealth throughout the pandemic and shifted to a mix of telehealth and in-person services in 2022.

From 2020 to 2023, the research team partnered with FCSO to study how their jail approached MOUD treatment, particularly via telehealth during the COVID-19 pandemic. The mixed-methods study aimed to understand whether treatment and individual counseling as its critical component could be done remotely, what facilitated or hindered its successful application, and how clients (i.e., incarcerated people) and the professionals supporting them perceived the effects.

This initial Phase 1 formative evaluation included the development of a logic model to guide telehealth programming, an evaluability assessment of existing telehealth services, and a pilot test of initial implementation to capture the components needed for future fidelity assessment of these telehealth services as part of a multi-phase evaluation. The telemental health programming was focused on a hybrid approach of service delivery by El Futuro, a community-based organization in Durham, North Carolina. El Futuro's hybrid model of telemental health services combines methods of telehealth and in-person treatment with an array of service components including psychotherapy, psychiatric services, and case management for individuals who were victims of crime (VOCs) seeking mental health services.

Data associated with this project contain information about telehealth sites, client gender, psychiatric diagnoses, session types for the hybrid model, reported traumas for the overall sample used in the evaluability, and feasibility portion of the formative evaluation. The collection also includes outcome information for a subset of participants, such as client reported improvement and satisfaction.

• Sense of place and way of life
• Regional priorities, concerns, and quality of life
• Environmental and climate change experiences, concerns, and policy preferences
• Civic engagement and good governance
• Demographics

This study addressed whether it is better to expand the scope of collaborative care programs to treat patients with more complex psychiatric disorders or to facilitate successful referrals to specialty mental health care. The primary objective of this study is to compare Telepsychiatry Collaborative Care (TCC) and Telepsychiatry Enhanced Referral (TER) from the patient and provider perspective. The secondary objective is to determine whether patients not engaging and responding to TER, improve with Phone-Psychiatry Enhanced Referral (PER). There are four specific aims.

Aim #1: To quantitatively compare the treatment experience, engagement, self-reported clinical outcomes, and recovery-oriented outcomes of patients initially randomized to TCC and TER.

Aim #2: For the subset of patients randomized to TER who do not engage in treatment and are still symptomatic at 6 months, quantitatively compare treatment experience, treatment engagement, self-reported clinical outcomes and recovery-oriented outcomes of patients randomized to continued-TER or PER.

Aim #3: To gain an in-depth understanding of patients' and providers' treatment experience, qualitatively compare those randomized to TCC, TER and PER.

Aim #4: To examine treatment heterogeneity among subgroups of patients randomized to TCC and TER based on race/ethnicity, age and clinical severity.

This study is to understand how perceptions and the organization of school safety and security are associated with the level and type of law enforcement engagement in rural schools. A triangulation mixed methods design was used to collect and examine individual, school, and community level quantitative and qualitative data. The social-ecological theory of violence prevention guides the research by predicting that an interplay of factors at multiple levels influences the type and level of law enforcement engagement in rural schools.

Specifically, it was predicted that the more organized and coordinated a school is in the area of safety and security, the more likely it is to be formally engaged with law enforcement. Formal engagement is defined as use of some version of the school resource officer (SRO) model or defined roles and responsibilities for law enforcement in schools that are articulated in documents such as a memorandum of agreement or understanding.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

This study includes data that was used to investigate the effect of legislative and judicial factors on system responses to sex trafficking of minors (STM) in metropolitan and non-metropolitan communities. To accomplish this, researchers evaluated the effectiveness of the immunity, protection, and rehabilitative elements of a state safe harbor law. This project was undertaken as a response to a growing push to pass state safe harbor laws to align governmental and community responses to the reframing of the issue of sex trafficking of minors that was ushered in with the passage of the Trafficking Victims Protection Act (TVPA).

This collection includes 4 SPSS files, 3 Excel data files, and 2 SPSS Syntax files:

1. Child-Welfare-Human-Trafficking-Reports-2013-2017-data.xlsx
2. Judicial-Interview-De-identified-Quantitative-Data-for-NACJD_REV_Oct2018.sav (n=82; 36 variables)
3. Judicial-online-survey-data-for-NACJD_REV_Dec2018.sav (n=55; 77 variables)
4. Juvenile-Justice-Screening-for-HT-2015-MU-MU-0009.xlsx
5. Post-implementation-survey-data-for-NACJD_REV_Dec2018.sav (n=365; 1029 variables)
6. Pre-implementation-survey-data-for-NACJD_REV_Dec2018.sav (n=323; 159 variables)
7. Recode-syntax-for-pre-implementation-survey-for-NACJD.sps
8. Statewide-juvenile-court-charges-2015-MU-MU-0009-to-NACJD.xlsx
9. Syntax-for-post-implementation-survey-data-to-NACJD.sps

Qualitative data from judicial interviews and agency open-ended responses to Post-Implementation of the Safe Harbor Law Survey are not available as part of this collection.

The Black Rural and Urban Caregivers Mental Health/Functioning data collection includes survey data collected in 2000-2002 from African American females age 65 and older, who provide unpaid care for older African American adults in the St. Louis Metropolitan area and seven rural Missouri counties (Butler, Dunklin, Mississippi, New Madrid, Pemiscot, Scott, and Stoddard).

Because of inadequate recruitment knowledge about rural African American caregivers and persistent reports of challenges when involving African Americans elders in research, this study focused on the involvement of African American rural elders and recruitment of their female informal caregivers in a study of caregivers' well-being and service use. African Americans comprise the largest group of ethnic and racial minority elders aged 65 and older in the U.S. population thus making up one half of all ethnic and racial minority elders. Numerical changes in population size and increasing longevity of older African Americans direct attention to African American informal female caregivers- persons most likely to assist African American elderly with daily living tasks, personal needs, and long-term care. More disabled and chronically ill African American elders portend continuing need from informal or unpaid caregivers for dependent care.

There are two datasets associated with this study, a public-use (da36349-0001) and restricted-use (da36349-0002) version of the same survey data. Both data files contain 521 cases and 1438 variables. However, the restricted file contains continuous as opposed to categorical values for age variables rounded to the nearest whole number.

In 2014, the United States Department of Agriculture's Economic Research Service (USDA ERS) conducted the Rural Establishment Innovation Survey (REIS). This survey provides a nationally representative sample of innovation processes in rural businesses. REIS defines innovation as the introduction of new goods, services, or ways of doing business that are valued by consumers. Traditional measures from secondary data sources, such as patents or research and development (R&D) expenditures, focus on science and engineering-based innovation, which usually depict rural innovation as rare or idiosyncratic. By focusing instead on a broader definition of innovation, the REIS provides a fuller assessment of rural innovative capacity.

The main research questions for this survey were:

• Are rural firms as innovative as urban firms?
• What constraints are impeding the innovative capacity of firms?
• What strategies are innovative firms using to mitigate these constraints?

The target population for the survey was Nonmetro and metro establishments with 5 or more employees in tradable sectors (mining, manufacturing, wholesale trade, transportation and warehousing, finance, information, professional/technical/scientific services, arts and management of businesses). REIS used the Bureau of Labor Statistics (BLS) Quarterly Census of Employment and Wages Business Register for its sampling frame. Responses from 11,600 businesses were usable.

These data include responses from businesses in the Arts & Museums industry category. These businesses were oversampled by a factor of 3.3 to ensure reliable statistics.

The REIS data are restricted and require users to apply for access to the data. For permission to access to these data, visit the ERS Rural Economy Population: Business Industry page and scroll to the bottom of the page for contact information. If permission to access the data is granted, the data can be viewed through the NORC data enclave.

China's dramatic economic and educational changes over the past 20 years have stimulated concerns about the education of children in rural areas. Recent empirical studies give evidence of growing disparities in educational opportunities between urban and rural areas and socio-economic and geographic inequities in basic-level educational participation within rural areas. These studies also point to a persisting gender gap in enrollment and to the disproportionate impact of poverty on girls' educational participation (Hannum 1998b; Zhang 1998). This study focused on the influence of poverty on the schooling of 11 to 14 year-old children in rural Gansu, an interior province in Northwest China characterized by high rates of rural poverty and a substantial dropout problem. Substantively, this study was innovative in adopting an integrated approach: it focused on the community, family, and school contexts in which children are educated. Methodologically, the study combined information on children's academic performance and school characteristics, with a household-based sample that allowed examination of the academic experiences of children who have left the education system as well as those who have persisted in it. Finally, the project was the baseline wave for the first large-scale, longitudinal study devoted to education and social inequality conducted in rural China. Results of this study contribute to an understanding of basic social stratification processes and provide insights for developing intervention strategies to improve educational access and effectiveness in rural China.

Wave 1 of this study (2000) has been archived and is available for download at ICPSR-DSDR. For information about Waves 2-4 (2004, 2007, 2009), please see the Gansu Survey of Children and Families Web site.

The purpose of this project was to measure and estimate the distribution of personal income in both rural and urban areas of the People's Republic of China. The principal investigators based their definition of income on cash payments and on a broad range of additional components: payments in kind valued at market prices, agricultural output produced for self-consumption valued at market prices, the value of food and other direct subsidies, and the imputed value of housing services. The rural component of this collection consists of two data files, one in which the individual is the unit of analysis (Part 1) and a second in which the household is the unit of analysis (Part 2). Individual rural respondents reported on their employment status, level of education, Communist Party membership, type of employer (e.g., public, private, or foreign), type of economic sector in which they were employed, occupation, whether they held a second job, retirement status, monthly pension, monthly wage, and other sources of income. Demographic variables include relationship to householder, gender, age, and student status. Rural households reported extensively on the character of the household and residence. Information was elicited on type of terrain surrounding the house, geographic position, type of house, and availability of electricity. Also reported were sources of household income (e.g., farming, industry, government, rents, and interest), taxes paid, value of farm, total amount and type of cultivated land, financial assets and debts, quantity and value of various crops, amount of grain purchased or provided by a collective, use of chemical fertilizers, gasoline, and oil, quantity and value of agricultural machinery, and all household expenditures (e.g., food, fuel, medicine, education, transportation, and electricity). The urban component of this collection also consists of two data files, one in which the individual is the unit of analysis (Part 3) and a second in which the household is the unit of analysis (Part 4). Individual urban respondents reported on their economic status within the household, Communist Party membership, sex, age, nature of employment, and relationship to the household head. Information was collected on all types and sources of income from each member of the household whether working, nonworking, or retired, all revenue received by owners of private or individual enterprises, and all in-kind payments (e.g., food, durable goods, and nondurable goods). Urban households reported total income (including salaries, interest on savings and bonds, dividends, rent, leases, alimony, gifts, and boarding fees), all types and values of food subsidies received, and total debt. Information was also gathered on household accommodations and living conditions, including number of rooms, total living area in square meters, availability and cost of running water, sanitary facilities, heating and air-conditioning equipment, kitchen availability, location of residence, ownership of home, and availability of electricity and telephone. Households reported on all their expenditures including amounts spent on food items such as wheat, rice, edible oils, pork, beef and mutton, poultry, fish and seafood, sugar, and vegetables by means of coupons in state-owned stores and at free market prices. Information was also collected on rents paid by the households, fuel available, type of transportation used, and availability and use of medical and child care.

The Chinese Household Income Project collected data in 1988, 1995, 2002, and 2007. ICPSR holds data from the first three collections, and information about these can be found on the series description page. Data collected in 2007 are available through the China Institute for Income Distribution.

The purpose of this project was to measure and estimate the distribution of income in both rural and urban areas of the People's Republic of China. The principal investigators based their definition of income on cash payments and on a broad range of additional components: payments in kind valued at market prices, agricultural output produced for self-consumption valued at market prices, the value of ration coupons and other direct subsidies, and the imputed value of housing. The rural component of this collection consists of two data files, one in which the individual is the unit of analysis and a second in which the household is the unit of analysis. Individual rural respondents reported on their employment status, level of education, Communist Party membership, type of employer (e.g., public, private, or foreign), type of economic sector in which employed, occupation, whether they held a second job, retirement status, monthly pension, monthly wage, and other sources of income. Demographic variables include relationship to householder, gender, age, and student status. Rural households reported extensively on the character of the household and residence. Information was elicited on type of terrain surrounding the house, geographic position, type of house, and availability of electricity. Also reported were sources of household income (e.g., farming, industry, government, rents, and interest), taxes paid, value of farm, total amount and type of cultivated land, financial assets and debts, quantity and value of various crops (e.g., grains, cotton, flax, sugar, tobacco, fruits and vegetables, tea, seeds, nuts, lumber, livestock and poultry, eggs, fish and shrimp, wool, honey, and silkworm cocoons), amount of grain purchased or provided by a collective, use of chemical fertilizers, gasoline, and oil, quantity and value of agricultural machinery, and all household expenditures (e.g., food, fuel, medicine, education, transportation, and electricity). The urban component of this collection also consists of two data files, one in which the individual is the unit of analysis and a second in which the household is the unit of analysis. Individual urban respondents reported on their economic status within the household, Communist Party membership, sex, age, nature of employment, and relationship to the household head. Information was collected on all types and sources of income from each member of the household whether working, nonworking, or retired, all revenue received by owners of private or individual enterprises, and all in-kind payments (e.g., food and durable and non-durable goods). Urban households reported total income (including salaries, interest on savings and bonds, dividends, rent, leases, alimony, gifts, and boarding fees), all types and values of food rations received, and total debt. Information was also gathered on household accommodations and living conditions, including number of rooms, total living area in square meters, availability and cost of running water, sanitary facilities, heating and air-conditioning equipment, kitchen availability, location of residence, ownership of home, and availability of electricity and telephone. Households reported on all of their expenditures including amounts spent on food items such as wheat, rice, edible oils, pork, beef and mutton, poultry, fish and seafood, sugar, and vegetables by means of both coupons in state-owned stores and at free market prices. Information was also collected on rents paid by the households, fuel available, type of transportation used, and availability and use of medical and child care.

The Chinese Household Income Project collected data in 1988, 1995, 2002, and 2007. ICPSR holds data from the first three collections, and information about these can be found on the series description page. Data collected in 2007 are available through the China Institute for Income Distribution.

The purpose of this project was to measure and estimate the distribution of personal income and related economic factors in both rural and urban areas of the People's Republic of China. The principal investigators based their definition of income on cash payments and on a broad range of additional components. Data were collected through a series of questionnaire-based interviews conducted in rural and urban areas at the end of 2002. There are ten separate datasets. The first four datasets were derived from the urban questionnaire. The first contains data about individuals living in urban areas. The second contains data about urban households. The third contains individual-level economic variables copied from the initial urban interview form. The fourth contains household-level economic variables copied from the initial urban interview form. The fifth dataset contains village-level data, which was obtained by interviewing village leaders. The sixth contains data about individuals living in rural areas. The seventh contains data about rural households, as well as most of the data from a social network questionnaire which was presented to rural households. The eighth contains the rest of the data from the social network questionnaire and is specifically about the activities of rural school-age children. The ninth dataset contains data about individuals who have migrated from rural to urban areas, and the tenth dataset contains data about rural-urban migrant households. Dataset 1 contains 151 variables and 20,632 cases (individual urban household members). Dataset 2 contains 88 variables and 6,835 cases (urban households). Dataset 3 contains 44 variables and 27,818 cases, at least 6,835 of which are empty cases used to separate households in the file. The remaining cases from dataset 3 match those in dataset 1. Dataset 4 contains 212 variables and 6,835 cases, which match those in dataset 2. Dataset 5 contains 259 variables and 961 cases (villages). Dataset 6 contains 84 variables and 37,969 cases (individual rural household members). Dataset 7 contains 449 variables and 9,200 cases (rural households). Dataset 8 contains 38 variables and 8,121 cases (individual school-age children). Dataset 9 contains 76 variables and 5,327 cases (individual rural-urban migrant household members). Dataset 10 contains 129 variables and 2,000 cases (rural-urban migrant households).

The Chinese Household Income Project collected data in 1988, 1995, 2002, and 2007. ICPSR holds data from the first three collections, and information about these can be found on the series description page. Data collected in 2007 are available through the China Institute for Income Distribution.