The National Survey of Children’s Health (NSCH) is sponsored by the Maternal and Child Health Bureau of the Health Resources and Services Administration, an Agency in the U.S. Department of Health and Human Services.The NSCH examines the physical and emotional health of children ages 0-17 years of age. Special emphasis is placed on factors related to the well-being of children. These factors include access to - and quality of - health care, family interactions, parental health, neighborhood characteristics, as well as school and after-school experiences.The NSCH is also designed to assess the prevalence and impact of special health care needs among children in the US and explores the extent to which children with special health care needs (CSHCN) have medical homes, adequate health insurance, access to needed services, and adequate care coordination. Other topics may include functional difficulties, transition services, shared decision-making, and satisfaction with care. Information is collected from parents or caregivers who know about the child's health.

2016-17 merged. This dataset is a de-identified summary table of vision and eye health data indicators from the National Survye of Chilrens Health (NSCH), stratified by all available combinations of age group, race/ethnicity, gender, risk factor and state. NSCH is a telephone survey conducted by the National Center for Health Statistics at CDC (currently conducted by the U.S. Census Bureau) that examines the physical and emotional health of children 0-17 years of age. Approximate sample size is 95,000 over two rounds of data collection. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Detailed information on VEHSS NSCH analyses can be found on the VEHSS NSCH webpage (cdc.gov/visionhealth/vehss/data/national-surveys/national-survey-of-childrens-health.html). Additional information about NSCH can be found on the NSCH website (http://childhealthdata.org/learn/NSCH). The VEHSS NSCH dataset was last updated in November 2019.

This survey provides nationally representative estimates on the characteristics, living arrangements, and service accessibility of noninstitutionalized children who were living apart from their parents (in foster care, grandparent care or other nonparental care) and who were aged 0 to 16 years in 2011-2012. Data on the well-being of the children and of their caregivers are also available. The children’s nonparental care status was identified in a previous SLAITS survey, the 2011-2012 National Survey of Children’s Health. Units of Response: Caregiver Type of Data: Survey Tribal Data: No Periodicity: One-time Demographic Indicators: Disability;Ethnicity;Household Income;Household Size;Housing Status;Race;Sex SORN: https://www.federalregister.gov/documents/2022/09/19/2022-20139/privacy-act-of-1974-system-of-records Data Use Agreement: No Data Use Agreement Location: Unavailable Granularity: Household Spatial: United States Geocoding: Unavailable

Analysis of ‘National Survey of Children’s Health (NSCH) – Vision and Eye Health Surveillance’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/d1b71df1-9af9-45ab-848f-abb1f821bd62 on 12 February 2022.

--- Dataset description provided by original source is as follows ---

2016-17 merged. This dataset is a de-identified summary table of vision and eye health data indicators from the National Survye of Chilrens Health (NSCH), stratified by all available combinations of age group, race/ethnicity, gender, risk factor and state. NSCH is a telephone survey conducted by the National Center for Health Statistics at CDC (currently conducted by the U.S. Census Bureau) that examines the physical and emotional health of children 0-17 years of age. Approximate sample size is 95,000 over two rounds of data collection. Data were suppressed for cell sizes less than 30 persons, or where the relative standard error more than 30% of the mean. Detailed information on VEHSS NSCH analyses can be found on the VEHSS NSCH webpage (cdc.gov/visionhealth/vehss/data/national-surveys/national-survey-of-childrens-health.html). Additional information about NSCH can be found on the NSCH website (http://childhealthdata.org/learn/NSCH). The VEHSS NSCH dataset was last updated in November 2019.

--- Original source retains full ownership of the source dataset ---

Nationally representative, longitudinal data describing functioning of and services for children who are reported to child protective services

Users can download data regarding the health care needs of children with special health care needs in adolescence and early adulthood. Topics include: transition services, care coordination and health insurance. BackgroundThe Survey of Adult Transition and Health (SATH) is operated by the Centers for Disease Control and Prevention (CDC) and National Center for Health Statistics (NCHS) and is sponsored by the Department of Health and Human Services (DHHS) Maternal and Child Health Bureau and the Health Resources and Services Administration (HRSA). This survey followed up on cases included in the 2001 National Survey of Children with Special health Care Needs (NSCSHCN). The SATH aims to ex amine the current health care needs of the original children with special health care needs survey subjects and to understand their transition from pediatric health care providers to adult health care providers. Topics include, but are not limited to: transition services, accommodations, care coordination, and health insurance. User Functionality Users can download the survey instrument, public dataset and codebook. Users can download the questionnaire as a PDF; the dataset can be downloaded into SAS statistical software. Data Notes The SATH is a follow-up survey administered to children with special health care needs who were 14-17 years of age during the initial interview in the 2001 National Survey of Children with Special health Care Needs (NSCSHCN). In 2007, these cases were 19-23 y ears old. The 2001 survey preceding this interview was conducted with the parent or guardian of the child with special health care needs. The child with special health care needs (n= 1,916) responded to the 2007 follow-up survey. Data were collected between June, 2007 and August, 2007. Information is available on a national level.

The 2012 National Survey of Early Care and Education (NSECE) is a set of four integrated, nationally representative surveys conducted in 2012. These were surveys of (1) households with children under 13, (2) home-based providers, (3) center-based providers, and (4) the center-based provider workforce. The 2012 NSECE documents the nation's current utilization and availability of early care and education (including school-age care), in order to deepen the understanding of the extent to which families' needs and preferences coordinate well with providers' offerings and constraints. The experiences of low-income families are of special interest as they are the focus of a significant component of early care and education and school-age child care (ECE/SACC) public policy. The 2012 NSECE calls for nationally-representative samples including interviews in all 50 states and Washington, DC. The study is funded by the Office of Planning, Research and Evaluation (OPRE) in the Administration for Children and Families (ACF), United States Department of Health and Human Services. The project team is led by the National Opinion Research Center (NORC) at the University of Chicago, in partnership with Chapin Hall at the University of Chicago and Child Trends. The Quick Tabulation and Public-Use Files are currently available via this site. Restricted-Use Files are also available at three different access levels; to determine which level of file access will best meet your needs, please see the NSECE Data Files Overview for more information. Level 1 Restricted-Use Files are available via the Child and Family Data Archive. To obtain the Level 1 files, researchers must agree to the terms and conditions of the Restricted Data Use Agreement and complete an application via ICPSR's online Data Access Request System. Level 2 and 3 Restricted-Use Files are available via the National Opinion Research Center (NORC). For more information, please see the access instructions for NSECE Levels 2/3 Restricted-Use Data. For additional information about this study, please see: NSECE project page on the OPRE website NSECE study page on NORC's website NSECE Research Methods Blog For more information, tutorials, and reports related to the National Survey of Early Care and Education, please visit the Child and Family Data Archive's Data Training Resources from the NSECE page.

The State and Local Area Integrated Telephone Survey (SLAITS) collected health care data at State and local levels between 1997 and 2014. This data collection mechanism was developed by the National Center for Health Statistics (NCHS) of the Centers for Disease Control and Prevention (CDC). It supplemented national data collection strategies by providing in-depth State and local area data to meet various program and policy needs. SLAITS conducted both the National Survey of Children’s Health (2003, 2007, 2011-2012 and the National Survey of Children with Special Health Care Needs (2001, 2005-2006, 2009-2010). Other surveys included Health (1997), Child Well-Being and Welfare (1998-1999), National Survey of Early Childhood Health (2000), National Asthma Survey (2003), National Survey of Adoptive Parents (2007), Survey of Adult Transition and Health (2007), Influenza Vaccination Module for Children (2007), National Survey of Adoptive Parents of Children with Special Health Care Needs (2008), Survey of Pathways to Diagnosis and Services (2011), National Survey of Children in Nonparental Care (2013), and National Survey of the Diagnosis and Treatment of ADHD and Tourette Syndrome (2014).

Users can download public-access datasets regarding topics such as: health insurance coverage, access to care, child well-being , utilization of services, and health status. BackgroundThe State and Local Area Integrated Telephone Survey (SLAITS) was developed by the National Center for Health Statistics (NCHS) of the Centers for Disease Control and Prevention (CDC) and is sponsored by both public and private organizations. SLAITS provides health care data at state and local levels for the development and implementation of health programs and policies. Survey research topics include health insurance covera ge, access to care, perceived health status, utilization of services, and measurement of child well-being. Surveys moderated by SLAITS include: Health, Child Well-Being and Welfare, National Survey of Early Childhood Health, National Survey of Children with Special Health Care Needs, National Survey of Children’s Health, National Asthma Survey, National Survey of Adoptive Parents, Survey of Adult Transition and Health, National Survey of Adoptive Parents of Children with Special Health Care Needs. This data can help users to track changes arising from health and welfare services. User FunctionalityUsers can download public-access datasets to compare responses across states and to the United States. Data NotesThe SLAITS random-digit dial (RDD) and sampling frame are the same as the ongoing National Immunization Survey (NIS) operated by the CDC. The survey is composed of standardized questions to facilitate comparison across states. SLAITS also includes customized questions for each state to address state-specific data needs. SLAITS targets population subgroups including people with specific health conditions and low-income families. There is a rapid turnaround between data collection and availability, which enables users to track changes resulting from health and welfare services. Data collection dates vary and are indicated with each survey. Depending on the survey, data are available on national, state, and regional levels.

The goal of this study was to test specific hypotheses illustrating the relationships among serious victimization experiences, the mental health effects of victimization, substance abuse/use, and delinquent behavior in adolescents. The study assessed familial and nonfamilial types of violence. It was designed as a telephone survey of American youth aged 12-17 living in United States households and residing with a parent or guardian. One parent or guardian in each household was interviewed briefly to establish rapport, secure permission to interview the targeted adolescent, and to ensure the collection of comparative data to examine potential nonresponse bias from households without adolescent participation. All interviews with both parents and adolescents were conducted using Computer-Assisted Telephone Interviewing (CATI) technology. From the surveys of parents and adolescents, the principal investigators created one data file by attaching the data from the parents to the records of their respective adolescents. Adolescents were asked whether violence and drug abuse were problems in their schools and communities and what types of violence they had personally witnessed. They were also asked about other stressful events in their lives, such as the loss of a family member, divorce, unemployment, moving to a new home or school, serious illness or injury, and natural disaster. Questions regarding history of sexual assault, physical assault, and harsh physical discipline elicited a description of the event and perpetrator, extent of injuries, age at abuse, whether alcohol or drugs were involved, and who was informed of the incident. Information was also gathered on the delinquent behavior of respondents and their friends, including destruction of property, assault, theft, sexual assault, and gang activity. Other questions covered history of personal and family substance use and mental health indicators, such as major depression, post-traumatic stress disorders, weight changes, sleeping disorders, and problems concentrating. Demographic information was gathered from the adolescents on age, race, gender, number of people living in household, and grade in school. Parents were asked whether they were concerned about violent crime, affordable child care, drug abuse, educational quality, gangs, and the safety of their children at school. In addition, they were questioned about their own victimization experiences and whether they discussed personal safety issues with their children. Parents also supplied demographic information on gender, marital status, number of children, employment status, education, race, and income.

Users can request data and reports related, but not limited to child abuse, neglect, foster care, and child well-being. Background The National Data Archive on Child Abuse and Neglect collects data on the well-being of children. The archive is a project of the Family Life Development Center, Department of Human Ecology at Cornell University. The archive collects data sets from the The National Survey of Child Health and Well-being, The Adoption and Foster Care Analysis Reporting System, The National Child Abuse and Neglect Data System, and other data related to child abuse, neglect, victimization, m altreatment, sexual abuse, homelessness, and safety. User functionality Users can access abstracts of data sets which discuss the time period and logistics of collecting the data. There are different requirements for accessing different data sets. All requirements are clearly outlined. All data sets must be ordered through the National Data Archive on Child Abuse and Neglect. Application materials must be mailed to the archive for access permission. Requirements for access vary by amount of personal information included in the data set. Data Notes The chief investigator, the years of data collection and a description of the data set is available on the website for every data set. The website does not convey when new data sets will be added.

ObjectivesMedical homes, an important component of U.S. health reform, were first developed to help families of children with special health care needs (CSHCN) find and coordinate services, and reduce their children’s unmet need for health services. We hypothesize that CSHCN lacking medical homes are more likely than those with medical homes to report health system delivery or coverage problems as the specific reasons for unmet need. MethodsData are from the 2005-2006 National Survey of Children with Special Health Care Needs (NS-CSHCN), a national, population-based survey of 40,723 CSHCN. We studied whether lacking a medical home was associated with 9 specific reasons for unmet need for 11 types of medical services, controlling for health insurance, child’s health, and sociodemographic characteristics. ResultsWeighted to the national population, 17% of CSHCN reported at least one unmet health service need in the previous year. CSHCN without medical homes were 2 to 3 times as likely to report unmet need for child or family health services, and more likely to report no referral (OR= 3.3), dissatisfaction with provider (OR=2.5), service not available in area (OR= 2.1), can’t find provider who accepts insurance (OR=1.8), and health plan problems (OR=1.4) as reasons for unmet need (all p

Abstract

The Tanzania Demographic and Health Survey (TDHS) is part of the worldwide Demographic and Health Surveys (DHS) programme, which is designed to collect data on fertility, family planning, and maternal and child health.

The primary objective of the 1999 TRCHS was to collect data at the national level (with breakdowns by urban-rural and Mainland-Zanzibar residence wherever warranted) on fertility levels and preferences, family planning use, maternal and child health, breastfeeding practices, nutritional status of young children, childhood mortality levels, knowledge and behaviour regarding HIV/AIDS, and the availability of specific health services within the community.1 Related objectives were to produce these results in a timely manner and to ensure that the data were disseminated to a wide audience of potential users in governmental and nongovernmental organisations within and outside Tanzania. The ultimate intent is to use the information to evaluate current programmes and to design new strategies for improving health and family planning services for the people of Tanzania.

Geographic coverage

National. The sample was designed to provide estimates for the whole country, for urban and rural areas separately, and for Zanzibar and, in some cases, Unguja and Pemba separately.

Analysis unit

Households, individuals

Universe

Men and women 15-49, children under 5

Kind of data

Sample survey data

Sampling procedure

The TRCHS used a three-stage sample design. Overall, 176 census enumeration areas were selected (146 on the Mainland and 30 in Zanzibar) with probability proportional to size on an approximately self-weighting basis on the Mainland, but with oversampling of urban areas and Zanzibar. To reduce costs and maximise the ability to identify trends over time, these enumeration areas were selected from the 357 sample points that were used in the 1996 TDHS, which in turn were selected from the 1988 census frame of enumeration in a two-stage process (first wards/branches and then enumeration areas within wards/branches). Before the data collection, fieldwork teams visited the selected enumeration areas to list all the households. From these lists, households were selected to be interviewed. The sample was designed to provide estimates for the whole country, for urban and rural areas separately, and for Zanzibar and, in some cases, Unguja and Pemba separately. The health facilities component of the TRCHS involved visiting hospitals, health centres, and pharmacies located in areas around the households interviewed. In this way, the data from the two components can be linked and a richer dataset produced.

See detailed sample implementation in the APPENDIX A of the final report.

Mode of data collection

Face-to-face

Research instrument

The household survey component of the TRCHS involved three questionnaires: 1) a Household Questionnaire, 2) a Women’s Questionnaire for all individual women age 15-49 in the selected households, and 3) a Men’s Questionnaire for all men age 15-59.

The health facilities survey involved six questionnaires: 1) a Community Questionnaire administered to men and women in each selected enumeration area; 2) a Facility Questionnaire; 3) a Facility Inventory; 4) a Service Provider Questionnaire; 5) a Pharmacy Inventory Questionnaire; and 6) a questionnaire for the District Medical Officers.

All these instruments were based on model questionnaires developed for the MEASURE programme, as well as on the questionnaires used in the 1991-92 TDHS, the 1994 TKAP, and the 1996 TDHS. These model questionnaires were adapted for use in Tanzania during meetings with representatives from the Ministry of Health, the University of Dar es Salaam, the Tanzania Food and Nutrition Centre, USAID/Tanzania, UNICEF/Tanzania, UNFPA/Tanzania, and other potential data users. The questionnaires and manual were developed in English and then translated into and printed in Kiswahili.

The Household Questionnaire was used to list all the usual members and visitors in the selected households. Some basic information was collected on the characteristics of each person listed, including his/her age, sex, education, and relationship to the head of the household. The main purpose of the Household Questionnaire was to identify women and men who were eligible for individual interview and children under five who were to be weighed and measured. Information was also collected about the dwelling itself, such as the source of water, type of toilet facilities, materials used to construct the house, ownership of various consumer goods, and use of iodised salt. Finally, the Household Questionnaire was used to collect some rudimentary information about the extent of child labour.

The Women’s Questionnaire was used to collect information from women age 15-49. These women were asked questions on the following topics: · Background characteristics (age, education, religion, type of employment) · Birth history · Knowledge and use of family planning methods · Antenatal, delivery, and postnatal care · Breastfeeding and weaning practices · Vaccinations, birth registration, and health of children under age five · Marriage and recent sexual activity · Fertility preferences · Knowledge and behaviour concerning HIV/AIDS.

The Men’s Questionnaire covered most of these same issues, except that it omitted the sections on the detailed reproductive history, maternal health, and child health. The final versions of the English questionnaires are provided in Appendix E.

Before the questionnaires could be finalised, a pretest was done in July 1999 in Kibaha District to assess the viability of the questions, the flow and logical sequence of the skip pattern, and the field organisation. Modifications to the questionnaires, including wording and translations, were made based on lessons drawn from the exercise.

Response rate

In all, 3,826 households were selected for the sample, out of which 3,677 were occupied. Of the households found, 3,615 were interviewed, representing a response rate of 98 percent. The shortfall is primarily due to dwellings that were vacant or in which the inhabitants were not at home despite of several callbacks.

In the interviewed households, a total of 4,118 eligible women (i.e., women age 15-49) were identified for the individual interview, and 4,029 women were actually interviewed, yielding a response rate of 98 percent. A total of 3,792 eligible men (i.e., men age 15-59), were identified for the individual interview, of whom 3,542 were interviewed, representing a response rate of 93 percent. The principal reason for nonresponse among both eligible men and women was the failure to find them at home despite repeated visits to the household. The lower response rate among men than women was due to the more frequent and longer absences of men.

The response rates are lower in urban areas due to longer absence of respondents from their homes. One-member households are more common in urban areas and are more difficult to interview because they keep their houses locked most of the time. In urban settings, neighbours often do not know the whereabouts of such people.

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: (1) non-sampling errors, and (2) sampling errors. Non-sampling errors are the results of mistakes made in implementing data collection and data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the TRCHS to minimise this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.

Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the TRCHS is only one of many samples that could have been selected from the same population, using the same design and expected size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.

A sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95 percent of all possible samples of identical size and design.

If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the TRCHS sample is the result of a two-stage stratified design, and, consequently, it was necessary to use more complex formulae. The computer software used to calculate sampling errors for the TRCHS is the ISSA Sampling Error Module (SAMPERR). This module used the Taylor linearisation method of variance estimation for survey estimates that are means or proportions. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rate

Note: See detailed sampling error

Adverse childhood experiences (ACEs) are linked to adverse health outcomes for adults and children in the United States. The prevalence of critically ill children who are exposed to ACEs is not known. Our objective was to compare the frequency of ACEs of critically ill children with that of the general pediatric population of Georgia and the United States using publicly available National Survey of Children’s Health (NSCH) data. The impact of ACEs on patient-reported outcome measures of emotional, social, and physical health in critically ill children is not known. We sought to determine whether a higher total number of ACEs was associated with poorer patient-reported measures of emotional, social, and physical health. We conducted a prospective cross-sectional study of children < 18 years of age who were admitted to a 36-bed free-standing, quaternary academic pediatric intensive care unit in Atlanta, Georgia from June 2020—December 2021. Parents of patients who were admitted to the pediatric intensive care unit completed a survey regarding their child’s ACEs, health care use patterns, and patient-reported outcome measures (PROMIS) of emotional, social, and physical health. Prevalence estimates of ACEs were compared with national and state data from the NSCH using Rao-Scott Chi-square tests. PROMIS measures reported within the PICU cohort were compared with population normed T-scores. The association of cumulative ACEs within the PICU cohort with patient-reported outcomes of emotional, social, and physical health were evaluated with a t-test. Among the 84 participants, 54% had ≥ 1 ACE, 29% had ≥ 2 ACEs, and 10% had ≥ 3 ACEs. Children with ≥ 2 ACEs had poorer anxiety and family relationship T-scores compared to those with ≤ 1 ACE. Given the high burden of ACEs in critically ill children, screening for ACEs may identify vulnerable children that would benefit from interventions and support to mitigate the negative effects of ACEs and toxic stress on emotional, social, and physical health.

The Yemen Demographic and Maternal and Child Health Survey (YDMCHS) is the first national survey conducted in Yemen since unification of the country. It was designed to collect data on households, ever-married women of reproductive age, and children under age five. The subjects covered in the household survey were: characteristics of households, housing and living conditions, school enrollment, labor force participation, general mortality, disability, fertility, and child survival. The areas covered in the survey of women of reproductive age were: demographic and socioeconomic characteristics, marriage and reproductive history, fertility regulation and preferences, antenatal care, breastfeeding, and child care. For children under five in the survey, the topics included diarrheal and other morbidity, nutritional supplementation, accidents, vaccination, and nutritional status. The survey was carried out as a part of the DHS program and also the PAPCHILD program. The DHS program is assisting governments and private agencies in the implementation of household surveys in developing countries; PAPCHILD has similar goals for developing countries in the Arab League. The main objectives of the DHS project are to: (a) provide decision makers with a data base and analyses useful for informed policy choices, (b) expand the international population and health data base, (c) advance survey methodology, and (d) develop skills and resources necessary to conduct high quality demographic and health surveys in the participating countries. The YDMCHS was specifically aimed at furnishing information on basic population and household characteristics, maternal and child health, fertility, family planning, and infant and child mortality in Yemen. The survey also presents information on breastfeeding practices and the nutritional status of children under age five. The survey will provide policymakers and planners with important information for use in formulating programs and policies regarding maternal and child health, child mortality, and reproductive behavior.

Grounded in a strength-based (asset) model, this study explores the racial disparities in students’ learning and well-being during the pandemic. Linking the U.S. national/state databases of education and health, it examines whole-child outcomes and related factors—remote learning and protective community. It reveals race/ethnicity-stratified, state-level variations of learning and well-being losses in the midst of school accountability turnover. This data file includes aggregate state-level data derived from the NAEP and NSCH datasets, including all 50 U.S. states' pre-pandemic and post-pandemic measures of whole-child development outcomes (academic proficiency, socioemotional wellness, and physical health) as well as environmental conditions (remote learning and protective community) among school-age children. Methods To address the research questions, this study examines repeated cross-sectional datasets with nation/state-representative samples of school-age children. For academic achievement measures, the National Assessment of Educational Progress (NAEP) 2019 and 2022 datasets are used to assess nationally representative samples of 4th-grade and 8th-grade students’ achievement in reading and math (http://www.nces.ed.gov/nationsreportcard). In 2019, the NAEP samples included: 150,600 fourth graders from 8,300 schools and 143,100 eighth graders from 6,950 schools. In 2022, the NAEP samples included: (1) for reading, 108,200 fourth graders from 5,780 schools and 111,300 eighth graders from 5,190 schools; (2) for math, 116,200 fourth graders from 5,780 schools and 111,000 eighth graders from 5,190 schools. Data are weighted to be representative of the US population of students in grades 4 and 8, each for the entire nation and every state. Results are reported as average scores on a 0 to 500 scale and as percentages of students performing at or above the NAEP achievement levels: NAEP Basic, NAEP Proficient, and NAEP Advanced. In this study, we focus on changes in the percentages of students at or above the NAEP Basic level, which is the minimum competency level expected for all students across the nation. As a supplement to the NAEP assessment data, this study uses the NAEP School Dashboard (see https://ies.ed.gov/schoolsurvey/mss-dashboard/), which surveyed approximately 3,500 schools each month at grades 4 and 8 each during the pandemic period of January through May 2021: 46 states/jurisdictions participated, and 4,100 of 6,100 sampled schools responded. This study uses state-level information on the percentages of students who received in-person vs. remote/hybrid instructional modes. The school-reported remote learning enrollment rate is highly correlated with the NAEP survey student-reported remote learning experience (during 2021) across grades and subjects (r = .82 for grade 4 reading, r = .81 for grade 4 math, r = .79 for grade 8 reading, r = .83 for grade 8 math). These strong positive correlations provide supporting evidence for the cross-validation of remote learning measures at the state level. For socioemotional wellness and physical health measures, the National Survey of Children’s Health (NSCH) data are used. The 2018/19 surveys involved about 356,052 households screened for age-eligible children, and 59,963 child-level questionnaires were completed. The 2020/21 surveys involved about 199,840 households screened for age-eligible children, and 93,669 child-level questionnaires were completed. Our analysis focuses on school-age children (ages 6-17) in the data. In addition, the NSCH data are also used to assess the quality of protective and nurturing environment for child development across family, school, and neighborhood settings (see Appendix).

Notice: Dataset 7: Home-based Public-Use Data File contained errors in 14 to 33 percent of cases for the following variables: HB9_HRSOPEN_R_MON, HB9_HRSOPEN_R_TUES, HB9_HRSOPEN_R_WED, HB9_HRSOPEN_R_THURS, HB9_HRSOPEN_R_FRI, and HB9_HOURS_C. In many cases, these errors were that missing or "Don't Know/Refused" values should have been coded as 0. Dataset 3: Home-based Unlisted Provider Quick Tabulation File, Dataset 4: Home-based Listed Provider Quick Tabulation File, and Dataset 7: Home-based Public-Use Data File contained two variables with their names swapped: HB9_ENRL_NHASIAN_NUMCH and HB9_ENRL_NHOTHER_NUMCH. Corrected versions of these variables are available in an addendum to the Home-based Provider Public-Use Data File, which is available for download immediately at this link, in an addendum to the Home-based Listed Provider Quick Tabulation Data File, which is available for download immediately at this link, and in an addendum to the Home-based Unlisted Provider Quick Tabulation Data File, which is available for download immediately at this link. Otherwise, these variables will be unavailable on the Child and Family Data Archive until the next release of the Home-based Provider Quick Tabulation Files and Public-Use Data Files, anticipated in fall 2022. The 2019 National Survey of Early Care and Education (2019 NSECE) is a set of four nationally-representative integrated surveys conducted in 2019 of 1) households with children under age 13, 2) home-based early care and education (ECE) providers, 3) center-based ECE providers, and 4) the center-based ECE provider workforce. Together these four surveys characterize the supply of and demand for ECE in the United States and create a better understanding of how well families' needs and preferences coordinate with providers' offerings and constraints. The NSECE surveys make particular effort to measure the experiences of low-income families, as these families are the focus of a significant component of ECE and school-age public policy. The NSECE was first conducted in 2012. Before that effort, there had been a 20-year long absence of nationally representative data on the use and availability of ECE. The NSECE was conducted again in 2019 to update the information from 2012 and shed light on how the ECE and school-age care landscape changed from 2012 to 2019. The 2019 NSECE followed a similar design as the 2012 survey, including surveying households with children under age 13, home-based providers, center-based providers, and staff working in center-based classrooms. The 2019 NSECE is funded by the Office of Planning, Research, and Evaluation (OPRE) in the Administration for Children and Families (ACF), United States Department of Health and Human Services (HHS). The project team is led by NORC at the University of Chicago, with partners Chapin Hall at the University of Chicago and Child Trends, as well as other collaborating individuals and organizations. The 2019 NSECE quick tabulation and public-use files are currently available via this site. Restricted-use files will also be available at three different access levels; to determine which level of restricted-use file access will best meet your needs, please email NORC at NSECE@norc.org for more information. Restricted-Use Data Files Restricted-use files are available through NORC at the University of Chicago. Please email NORC at NSECE@norc.org for more information about accessing restricted use data. For additional information about this study, please see: NSECE study page on NORC's website NSECE Research Methods Blog For more information, tutorials, and reports related to the NSECE, please visit the Child and Family Data Archive's Data Training Resources from the NSECE page.

The Children’s Dental Health (CDH) Survey series is a set of national surveys of children’s dental health that have been carried out every 10 years since 1973. Since its inception, the survey has provided important information to underpin the development and monitoring of dental health care for children.

The 1973 survey established baseline information on the state of the dental health of children in England and Wales. The survey coverage was then extended in 1983 to include Scotland and Northern Ireland. The 2013 survey covers England, Wales and Northern Ireland. (The UK Data Archive currently does not hold the 1973, 1983 and 1993 surveys).

The Children’s Dental Health Survey, 2013, commissioned by the Health and Social Care Information Centre, is the fifth survey in the series. The 2013 survey provides statistical estimates on the dental health of 5, 8, 12 and 15 year old children in England, Wales and Northern Ireland, using data collected during dental examinations conducted in schools on a random sample of children by NHS dentists and nurses. The survey measures changes in oral health since the last survey in 2003, and provides information on the distribution and severity of oral diseases and conditions in 2013.

The survey oversampled schools with high rates of free school meal eligibility to enable comparison of children from lower income families (children eligible for free school meals in 2013) with other children of the same age, in terms of their oral health, and related perceptions and behaviours. The 2013 survey dental examination was extended so that tooth decay (dental caries) could be measured across a range of detection thresholds. This reflects the way in which the detection and management of tooth decay has evolved towards more preventive approaches to care, rather than just providing treatment for disease. This survey provides estimates for dental decay across the continuum of caries, including both restorative and preventive care needs. Complementary information on the children's experiences, perceptions and behaviours relevant to their oral health was collected from parents and 12 and 15 year old children using self-completion questionnaires. The self-completion questionnaire for older children was introduced for the 2013 survey.

Further information is available from the http://www.hscic.gov.uk/catalogue/PUB17137" title="Children's Dental Health Survey, 2013">Health and Social Care Information Centre survey webpage.

Abstract

The Coronavirus Rapid Mobile Survey of Maternal and Child Health (CRAM-MATCH) was a rapid SMS (Short Message Service) survey conducted in South Africa conducted among pregnant women and mothers registered with the MomConnect mhealth platform in South Africa. This national survey was conducted in June (n=3140) with a follow up in July (n=2287). The survey collected data from pregnant women and new mothers in South Africa on how the Coronavirus pandemic has affected their health including their access to health care.

Geographic coverage

National coverage

Analysis unit

Individuals

Universe

The survey collected data from pregnant women and new mothers in South Africa.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample was drawn from the Momconnect mhealth platform created by the South African National Department of Health (NDOH) in 2014. MomConnect is a mobile health (mHealth) solution created to improve and promote maternal health services in South Africa by providing pregnant mothers with free messaging facility and a helpdesk. The mobile health application also created a national pregnancy registry which has excellent coverage of pregnant women and new mothers. By 2017 more than half of the women attending public sector antenatal care services in South Africa were registered on the Momconnect platform. By 2019 there were over 2 million registered MomConnect users.

A self-weighted sample of 15 000 pregnant women and mothers with children under 12 months was drawn from the database of MomConnect users. The sample was stratified based on province, gestational age or age of their baby and their type of phone. The 15 000 women all received an invitation to join the SMS survey on the afternoon of 24 June 2020. They could respond by SMS with "JOIN" to participate in the survey, by SMSing "STOP" to not participate or to reply with "MORE" if they needed more information. Those who participated in the survey received R10 in airtime. The wave 1 survey was completed on June 30, 2020. The wave 2 survey invitation was sent on the 2nd of July 2020 and the survey ended on the 5th of July 2020.

Poverty Quintiles Two sets of poverty quintiles were created for respondents by constructing poverty quintiles for primary care public health facilities. The first poverty quintile measures the wealth quintile of the small area place where the facility that the respondent last visited is located. The second poverty quintile measures the average wealth quintile of the catchment area that the facility covers. Because of the focus on access to primary care and because the Momconnect moms' registrations are at their local primary care facility, only data related to public sector primary care facilities was extracted from the government database of facilities (clinics, community health centres and community day centres).

The richest 15% of areas was also excluded since these individuals are unlikely to make use of public facilities. This implies that the 'wealthiest' quintile only represents the wealthiest of the 85% poorest South Africans. Each small area place in Census was then linked to their closest public primary care facility, using the GIS codes in both the Census and the national facility database to create a catchment area for each facility.Poverty quintiles were created by deriving a measure of living standards and wealth measures via Principal Component Analysis (PCA), using data on employment status, education level, earnings, household size, and cell phone and car ownership of the residents of the area collected during the 2011 census. PCA was used to calculate wealth scores and these were aggregated over the entire catchment area, weighted by the population size of each Small Area place in the Census 2011. The sample of respondents was matched to these poverty quintiles via the Momconnect facility identifier, which captures the facility where the mother was registered.

Mode of data collection

Other [oth]

Research instrument

Two questionnaires were used, one for the Wave 1 Survey and another for the Wave 2 Survey.

Response rate

Assuming a response rate of 20%, from the targeted sample of 15 000 women, the project aimed to achieve a survey sample of 3000 and realised a sample of 3140 for wave 1 and thus had an effective response rate of 21%. Of the 3140 individuals who responded to wave 1, 2287 also responded in wave 2. The attrition rate between wave 1 and wave 2 was thus about 27%.

The NSCF collected data on the health status and functional limitations, health care utilization, health insurance coverage, receipt of services, SSI experience, socioeconomic status of children's households, and housing characteristics of over 8,000 children who were receiving, had received, or were applying for SSI. The study is limited to the non-institutionalized population in the continental United States (i.e., it does not include residents of Alaska, Hawaii, and US territories). Data collection began in July 2001 and ended in July 2002.