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.

The National Survey of Children's Health, 2007, funded by the Maternal and Child Health Bureau (MCHB), Health Resources and Services Administration, is a module of the State and Local Area Integrated Telephone Survey (SLAITS) conducted by the Centers for Disease Control and Prevention's (CDC) National Center for Health Statistics (NCHS). The National Survey of Children's Health (NSCH) was designed to produce national and state-specific prevalence estimates for a variety of physical, emotional, and behavioral health indicators and measures of children's experiences with the health care system. The survey was conducted to assess how well each state, and the nation as a whole, met MCHB's strategic plan goals and national performance measures. These goals include providing national leadership for maternal and child health, promoting an environment that supports maternal and child health, eliminating health barriers and disparities, improving the health infrastructure and systems of care, assuring quality care, working with states and communities to plan and implement policies and programs to improve the social, emotional, and physical environment, and acquiring the best available evidence to develop and promote guidelines and practices to assure a social, emotional, and physical environment that supports the health and well-being of women and children. The NSCH addresses a variety of physical, emotional, and behavioral health indicators and measures of children's health experiences with the health care system. The survey also includes an extensive battery of questions about the family, including parental health, stress and coping behaviors, family activities, and parental concerns about their children, as well as their perceptions of the child's neighborhood. Demographic information collected includes race, gender, family income, and education level.

This dataset tracks the updates made on the dataset "National Survey of Children’s Health (NSCH) – Vision and Eye Health Surveillance" as a repository for previous versions of the data and metadata.

The table NSCH 2018 Screener is part of the dataset National Survey of Children's Health (NSCH), available at https://redivis.com/datasets/c4gx-9ytmbqmdz. It contains 71335 rows across 40 variables.

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 Dataset: https://www.census.gov/programs-surveys/nsch/data/datasets.html

Dataset documentation: https://www2.census.gov/programs-surveys/nsch/technical-documentation/codebook/2023-NSCH-Topical-Variable-List.pdf

This dataset is the 'topical' part only.

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.

The table NSCH 2020 Topical is part of the dataset National Survey of Children's Health (NSCH), available at https://redivis.com/datasets/c4gx-9ytmbqmdz. It contains 42777 rows across 443 variables.

The purpose of this study was to assess the physical, social, and psychological well-being of American children, to develop a national profile of the way children in the United States live, to permit analysis of the relationships between the conditions of children's lives and measures of child development, and to examine the effects of marital disruption on the development of children and on the operation of single and multi-parent families. Information is provided on the child's well-being, family, experiences with family disruption, behavior, physical health, and mental health.

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

Sample characteristics, national survey of children’s health, 2020.

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

Data Downloads: Area Health Resource FilesData Downloads: BHW Clincian DashboardsData Downloads: BHW Program Applicant and Award DataData Downloads: GrantsData Downloads: Health Center Service Delivery and Look Alike SitesData Downloads: Health Professions Training ProgramsData Downloads: Maternal and Child Health BureauData Downloads: National Health Service Corps (NHSC), Nurse Corps, and Substance Use Disorder Treatment and Recovery (STAR) and other ProgramsData Downloads: Nursing Workforce Survey DataData Downloads: Organ Donation and TransplantationData Downloads: Ryan White HIV/AIDS ProgramData Downloads: Shortage Areas Data Downloads: Uniform Data SystemData Downloads: Workforce ProjectionsData by GeographyHRSA Fact SheetsNational Survey of Organ Donation Attitudes and PracticesNational Survey of Children’s Health (NSCH) and National Survey of Children with Special Health Care Needs ChartbooksNational Survey of Children's Health (NSCH)Donor Registry DataTransplant Activity Report

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).

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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.

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
• Children under five years
• Women age 15-49
• Men age 15-59

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 calculation in the APPENDIX B

Title Childhood Obese and Overweight Estimates, NM Counties 2016 - NMCHILDOBESITY2017

Summary County level childhood overweight and obese estimates for 2016 in New Mexico. Most recent data known to be available on childhood obesity

Notes This map shows NM County estimated rates of childhood overweight and obesity. US data is available upon request. Published in May, 2022. Data is most recent known sub-national obesity data set. If you know of another resource or more recent, please reach out. emcrae@chi-phi.org

Source Data set produced from the American Journal of Epidemiology and with authors and contributors out of the University of South Carolina, using data from the National Survey of Children's Health.

Journal Source Zgodic, A., Eberth, J. M., Breneman, C. B., Wende, M. E., Kaczynski, A. T., Liese, A. D., & McLain, A. C. (2021). Estimates of childhood overweight and obesity at the region, state, and county levels: A multilevel small-area estimation approach. American Journal of Epidemiology, 190(12), 2618–2629. https://doi.org/10.1093/aje/kwab176

Journal article uses data from The United States Census Bureau, Associate Director of Demographic Programs, National Survey of Children’s Health 2020 National Survey of Children's Health Frequently Asked Questions. October 2021. Available from: https://www.census.gov/programs-surveys/nsch/data/datasets.html

GIS Data Layer prepared by EMcRae_NMCDC

Feature Service https://nmcdc.maps.arcgis.com/home/item.html?id=80da398a71c14539bfb7810b5d9d5a99

Alias Definition

region Region Nationally

state State (data set is NM only but national data is available upon request)

fips_num County FIPS

county County Name

rate Rate of Obesity

lower_ci Lower Confidence Interval

upper_ci Upper Confidence Interval

fipstxt County FIPS text

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.

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.

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.