This data set includes annual counts and percentages of Medicaid and Children’s Health Insurance Program (CHIP) enrollees who received a well-child visit paid for by Medicaid or CHIP, overall and by five subpopulation topics: age group, race and ethnicity, urban or rural residence, program type, and primary language. These results were generated using Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF) Release 1 data and the Race/Ethnicity Imputation Companion File. This data set includes Medicaid and CHIP enrollees in all 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands, except where otherwise noted. Enrollees in Guam, American Samoa, and the Northern Mariana Islands are not included. Results include enrollees with comprehensive Medicaid or CHIP benefits for all 12 months of the year and who were younger than age 19 at the end of the calendar year. Results shown for the race and ethnicity subpopulation topic exclude enrollees in the U.S. Virgin Islands. Results shown for the primary language subpopulation topic exclude select states with data quality issues with the primary language variable in TAF. Some rows in the data set have a value of "DS," which indicates that data were suppressed according to the Centers for Medicare & Medicaid Services’ Cell Suppression Policy for values between 1 and 10. This data set is based on the brief: "Medicaid and CHIP enrollees who received a well-child visit in 2020." Enrollees are identified as receiving a well-child visit in the year according to the Line 6 criteria in the Form CMS-416 reporting instructions. Enrollees are assigned to an age group subpopulation using age as of December 31st of the calendar year. Enrollees are assigned to a race and ethnicity subpopulation using the state-reported race and ethnicity information in TAF when it is available and of good quality; if it is missing or unreliable, race and ethnicity is indirectly estimated using an enhanced version of Bayesian Improved Surname Geocoding (BISG) (Race and ethnicity of the national Medicaid and CHIP population in 2020). Enrollees are assigned to an urban or rural subpopulation based on the 2010 Rural-Urban Commuting Area (RUCA) code associated with their home or mailing address ZIP code in TAF (Rural Medicaid and CHIP enrollees in 2020). Enrollees are assigned to a program type subpopulation based on the CHIP code and eligibility group code that applies to the majority of their enrolled-months during the year (Medicaid-Only Enrollment; M-CHIP and S-CHIP Enrollment). Enrollees are assigned to a primary language subpopulation based on their reported ISO language code in TAF (English/missing, Spanish, and all other language codes) (Primary Language). Please refer to the full brief for additional context about the methodology and detailed findings. Future updates to this data set will include more recent data years as the TAF data become available.

This table represents details of Medicaid (coverage for children). Medicaid (coverage for children) is available for many children in working families. Most children who are eligible for Medicaid (coverage for children) do receive their medical care through a health plan, and visit doctors and hospitals that accept that health plan. While ones application is being processed, Medicaid (coverage for children) may provide up to 90 days of retroactive coverage for unpaid medical bills, if eligible during those 90 days

The Insure Kids Now (IKN) Dental Care Providers in Your State locator provides profile information for oral health providers participating in Medicaid and Children's Health Insurance Program (CHIP) and descriptions of oral health services covered under each Medicaid/CHIP plan. Current and prospective beneficiaries can use this website to search for providers and learn about Programs/Health Plans offered in their resident State. The data for this application is updated at least on a quarter-annual basis. Insure Kids Now operates in accordance with the Children's Health Insurance Program Reauthorization Act of 2009 (CHIPRA) and the Centers for Medicare and Medicaid Services (CMS). This service is a partnership between CMS and HRSA.

Performance rates on frequently reported health care quality measures in the CMS Medicaid/CHIP Child and Adult Core Sets, for FFY 2014 reporting. Dataset contains both child and adult measures. Source: Mathematica analysis of FFY 2014 Child and Adult CARTS reports as of May 8, 2015, as published in the 2015 Secretary's Reports on the Quality of Care in Medicaid/CHIP.

This dataset tracks the updates made on the dataset "Medicaid and CHIP enrollees who received a well-child visit" as a repository for previous versions of the data and metadata.

The study used deterministic and probabilistic data linking to match eligible members with birth registry records to identify births paid by Virginia Medicaid during calendar year (CY) 2021. Medicaid member, claims, and encounter data files were used with birth registry data fields to match members from each data linkage process. All probabilistically or deterministically linked birth registry records were included in the eligible focus study population.

This table represents details of CHP (Child Health Plus) insurance. Child Health Plus provides free or low-cost health insurance for children under the age of 19 who are not eligible for Medicaid, coverage for children. All children receive their health care through a managed care plan. There are no immigration requirements for Child Health Plus.

Analysis of ‘2014 Child and Adult Health Care Quality Measures’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/998a13d9-d1cc-4f5f-9999-6be81de62f1b on 26 January 2022.

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

Performance rates on frequently reported health care quality measures in the CMS Medicaid/CHIP Child and Adult Core Sets, for FFY 2014 reporting. Dataset contains both child and adult measures. Source: Mathematica analysis of FFY 2014 Child and Adult CARTS reports as of May 8, 2015, as published in the 2015 Secretary's Reports on the Quality of Care in Medicaid/CHIP.

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

This data set includes annual counts and percentages of Medicaid and Children’s Health Insurance Program (CHIP) enrollees who received a well-child visit paid for by Medicaid or CHIP, overall and by five subpopulation topics: age group, race and ethnicity, urban or rural residence, program type, and primary language. These results were generated using Transformed Medicaid Statistical Information System (T-MSIS) Analytic Files (TAF) Release 1 data and the Race/Ethnicity Imputation Companion File. This data set includes Medicaid and CHIP enrollees in all 50 states, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands, except where otherwise noted. Enrollees in Guam, American Samoa, and the Northern Mariana Islands are not included. Results include enrollees with comprehensive Medicaid or CHIP benefits for all 12 months of the year and who were younger than age 19 at the end of the calendar year. Results shown for the race and ethnicity subpopulation topic exclude enrollees in the U.S. Virgin Islands. Results shown for the primary language subpopulation topic exclude select states with data quality issues with the primary language variable in TAF. Some rows in the data set have a value of "DS," which indicates that data were suppressed according to the Centers for Medicare & Medicaid Services’ Cell Suppression Policy for values between 1 and 10. This data set is based on the brief: "Medicaid and CHIP enrollees who received a well-child visit in 2020." Enrollees are identified as receiving a well-child visit in the year according to the Line 6 criteria in the Form CMS-416 reporting instructions. Enrollees are assigned to an age group subpopulation using age as of December 31st of the calendar year. Enrollees are assigned to a race and ethnicity subpopulation using the state-reported race and ethnicity information in TAF when it is available and of good quality; if it is missing or unreliable, race and ethnicity is indirectly estimated using an enhanced version of Bayesian Improved Surname Geocoding (BISG) (Race and ethnicity of the national Medicaid and CHIP population in 2020). Enrollees are assigned to an urban or rural subpopulation based on the 2010 Rural-Urban Commuting Area (RUCA) code associated with their home or mailing address ZIP code in TAF (Rural Medicaid and CHIP enrollees in 2020). Enrollees are assigned to a program type subpopulation based on the CHIP code and eligibility group code that applies to the majority of their enrolled-months during the year (Medicaid-Only Enrollment; M-CHIP and S-CHIP Enrollment). Enrollees are assigned to a primary language subpopulation based on their reported ISO language code in TAF (English/missing, Spanish, and all other language codes) (Primary Language). Please refer to the full brief for additional context about the methodology and detailed findings. Future updates to this data set will include more recent data years as the TAF data become available.

Description: The demonstration of Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) allows authorized States and school districts to use information from Medicaid to identify students eligible to receive meals under the National School Lunch Program (NSLP) and School Breakfast Program (SBP) for free or at a reduced price. District-level administrative records data on certification and NSLP and SBP participation were collected to evaluate the demonstration. The analysis sample includes 5,966 public, private, and charter school districts in the 15 States participating in the DCM-F/RP demonstration in school year (SY) 2019-20.Study date(s) and duration: Data were collected from each State child nutrition agency for SY 2019–2020, a baseline year, and any years in between (if applicable). States started the demonstration in different years, so the baseline year is the year before the demonstration began in that state: SY 2015–2016 for Florida, Massachusetts, Nebraska, Utah, Virginia, and West Virginia; SY 2016–2017 for California, Connecticut, Indiana, Iowa, Michigan, Texas, Washington, and Wisconsin; and SY 2017–2018 for Nevada.Study spatial scale: Fifteen States participated in the DCM-F/RP demonstration. Six began conducting DCM-F/RP statewide in SY 2016–2017 (Florida, Massachusetts, Nebraska, Utah, Virginia, and West Virginia), and one implemented DCM-F/RP in 14 districts that year and expanded to statewide implementation in SY 2017–2018 (California). Eight States began implementing DCM-F/RP in in SY 2017–2018 (Connecticut, Indiana, Iowa, Michigan, Nevada, Texas, Washington, and Wisconsin), although one State did not certify students through DCM-F/RP until SY 2018–2019 (Nevada).Level of true replication: UnknownSampling precision: No sampling was involved in the collection of this data.Level of subsampling: No sampling was involved in the collection of this data.Study design: None – Non-experimentalDescription of any data manipulation, modeling, or statistical analysis undertaken: This file contains a public use version of the data collected and analyzed for states in the DCM-F/RP demonstration in SY 2019-20, including both variables collected from the States and variables constructed for use in analysis. The file contains one observation for each of the districts in the analysis sample. Several types of edits were used to protect the confidentiality of respondents, including removing identifying information, rounding percentage variables to the nearest tenth, and rounding continuous variables representing numbers of schools, students, meals or dollars.Description of any gaps in the data or other limiting factors: Specific certification data elements were unavailable for some States or districts (namely, Iowa and Wisconsin did not provide data on reduced-price certifications). In addition, some districts—including notable subsets in Indiana and Virginia—were excluded from the analysis sample due to incomplete or erroneous administrative data.See the full Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) Demonstration, SY 2019-20 report [https://www.fns.usda.gov/cn/usda-dcm-frp-demonstration] for a detailed explanation of the study’s limitations.Outcome measurement methods and equipment used: The effects of DCM-F/RP on certification, participation, and Federal reimbursement outcomes were estimated by comparing measures in the baseline year to the same measure in SY 2019–2020. A fixed effects model was used to control for changes in outcomes between years and to improve the precision of the estimates.Resources in this dataset:Resource Title: Dataset - Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) Demonstration .File Name: DCM_FRP.csvResource Description: Dataset - Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) Demonstration CSV FileResource Title: Codebook/Data Dictionary - Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) Demonstration .File Name: DCM-FRP SY 2019-2020 Codebook.pdfResource Description: Codebook/Data Dictionary for the Dataset Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) DemonstrationResource Title: User Guide - Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) Demonstration .File Name: DCM-FRP SY 2019-2020 Public Use File User Guide REV.pdfResource Description: User Guide for the Data Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) DemonstrationResource Title: SAS Stata R SPSS Data Sets - Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) Demonstration .File Name: DCM_FRP.ZIPResource Description: SAS Stata R SPSS Data Sets for the Data Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) Demonstration. These datasets are identical to the CSV and each other but provide multiple formats to meet user preference in statistical software.

This data collection is comprised of responses from the March and April installments of the 2008 Current Population Survey (CPS). Both the March and April surveys used two sets of questions, the basic CPS and a separate supplement for each month.The CPS, administered monthly, is a labor force survey providing current estimates of the economic status and activities of the population of the United States. Specifically, the CPS provides estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment.In addition to the basic CPS questions, respondents were asked questions from the March supplement, known as the Annual Social and Economic (ASEC) supplement. The ASEC provides supplemental data on work experience, income, noncash benefits, and migration. Comprehensive work experience information was given on the employment status, occupation, and industry of persons 15 years old and older. Additional data for persons 15 years old and older are available concerning weeks worked and hours per week worked, reason not working full time, total income and income components, and place of residence on March 1, 2007. The March supplement also contains data covering nine noncash income sources: food stamps, school lunch program, employer-provided group health insurance plan, employer-provided pension plan, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance. Questions covering training and assistance received under welfare reform programs, such as job readiness training, child care services, or job skill training were also asked in the March supplement.The April supplement, sponsored by the Department of Health and Human Services, queried respondents on the economic situation of persons and families for the previous year. Moreover, all household members 15 years of age and older that are a biological parent of children in the household that have an absent parent were asked detailed questions about child support and alimony. Information regarding child support was collected to determine the size and distribution of the population with children affected by divorce or separation, or other relationship status change. Moreover, the data were collected to better understand the characteristics of persons requiring child support, and to help develop and maintain programs designed to assist in obtaining child support. These data highlight alimony and child support arrangements made at the time of separation or divorce, amount of payments actually received, and value and type of any property settlement.The April supplement data were matched to March supplement data for households that were in the sample in both March and April 2008. In March 2008, there were 4,522 household members eligible, of which 1,431 required imputation of child support data. When matching the March 2008 and April 2008 data sets, there were 170 eligible people on the March file that did not match to people on the April file. Child support data for these 170 people were imputed. The remaining 1,261 imputed cases were due to nonresponse to the child support questions. Demographic variables include age, sex, race, Hispanic origin, marital status, veteran status, educational attainment, occupation, and income. Data on employment and income refer to the preceding year, although other demographic data refer to the time at which the survey was administered.

The Healthcare Cost and Utilization Project (HCUP) Kids' Inpatient Database (KID) is the largest publicly available all-payer pediatric inpatient care database in the United States, containing data from two to three million hospital stays each year. Its large sample size is ideal for developing national and regional estimates and enables analyses of rare conditions, such as congenital anomalies, as well as uncommon treatments, such as organ transplantation. Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality, HCUP data inform decision making at the national, State, and community levels. The KID is a sample of pediatric discharges from 4,000 U.S. hospitals in the HCUP State Inpatient Databases yielding approximately two to three million unweighted hospital discharges for newborns, children, and adolescents per year. About 10 percent of normal newborns and 80 percent of other neonatal and pediatric stays are selected from each hospital that is sampled for patients younger than 21 years of age. The KID contains clinical and resource use information included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals (as required by data sources). It includes discharge status, diagnoses, procedures, patient demographics (e.g., sex, age), expected source of primary payment (e.g., Medicare, Medicaid, private insurance, self-pay, and other insurance types), and hospital charges and cost. Restricted access data files are available with a data use agreement and brief online security training.

The Agency for Healthcare Research and Quality (AHRQ, formerly the Agency for Health Care Policy and Research) maintains the Healthcare Cost and Utilization Project (HCUP). HCUP is a Federal-State-industry partnership to build a standardized, multi-State health data system. AHRQ has taken the lead in developing HCUP databases, Web-based products, and software tools and making them available for restricted access public release.

HCUP comprises a family of administrative longitudinal databases-including State-specific hospital-discharge databases and a national sample of discharges from community hospitals.

HCUP databases contain patient-level information compiled in a uniform format with privacy protections in place. * The Nationwide Inpatient Sample (NIS) includes inpatient data from a national sample (about 20% of U.S. community hospitals) including roughly 7 million discharges from about 1,000 hospitals. It is the largest all-payer inpatient database in the U.S.; data are now available from 1988-1998. The NIS is ideal for developing national estimates, for analyzing national trends, and for research that requires a large sample size. * The State Inpatient Databases (SID) cover individual data sets in community hospitals from 22 participating States that represent more than half of all U.S. hospital discharges. The data have been translated into a uniform format to facilitate cross-State comparisons. The SID are particularly well-suited for policy inquiries unique to a specific State, studies comparing two or more States, market area research, and small area variation analyses.

• The State Ambulatory Surgery Databases (SASD) contain data from ambulatory care encounters in 9 participating States. The SASD capture surgeries performed on the same day in which patients are admitted and released form hospital- affiliated ambulatory surgery sites. The SASD are well suited for research that requires complete enumeration of hospital-based ambulatory surgeries within market areas and States.

• The project's newest restricted access public release is the Kids' Inpatient Database (KID), containing hospital inpatient stays for children 18 years of age and younger. Researchers and policymakers can use the KID to identify, track, and analyze national trends in health care utilization, access, charges, quality, and outcomes. The KID is the only all-payer inpatient care database for children in the U.S. It contains data from approximately 1.9 million hospital discharges for children. The data are drawn from 22 HCUP 1997 State Inpatient Databases and include a sample of pediatric general discharges from over 2,500 U.S. community hospitals (defined as short-term, non-Federal, general and specialty hospitals, excluding hospital units of other institutions). A key strength of the KID is that the large sample size enables analyses of both common and rare conditions; uncommon treatments, and organ transplantation. The KID also includes charge information on all patients, regardless of payer, including children covered by Medicaid, private insurance, and the uninsured.

  HCUP also contains powerful, user-friendly software that can be used with both HCUP data and with other administrative databases. The AHRQ has developed three powerful software tools Quality Indicators (QIs), Clinical Classification Software (CCS) and HCUPnet. See more on the agency's webpages.

BackgroundChildren in foster care are classified as a highly vulnerable population and struggle with both physical and mental health problems. Medical conditions, like poor nutritional status, remain understudied in children in foster care. To our knowledge, few studies in children in U.S. foster care have quantified the prevalence of anemia, and no studies have examined the association between anemia status and relevant developmental and behavioral outcomes.Objective/aims(1) To determine the prevalence of anemia among children in or adopted from Pennsylvania foster care, between the ages of six months to ten years and (2) To examine if a child’s anemia status is associated with greater odds of relevant developmental and behavioral diagnoses.MethodsWe conducted a secondary data analysis utilizing the Medicaid Analytic eXtract database between 2010–2015. Children six months–ten years were included in the analysis if they were in or had been adopted from Pennsylvania foster care. Logistic regression was used to calculate adjusted odds ratios (AOR) with 95% confidence intervals for the association between iron status and health outcomes.ResultsA total of 50,311 children were included in our sample, of which 1,365 children (2.7%) were diagnosed with anemia. Children diagnosed with anemia had greater odds of delayed milestones (AOR: 2.38 [1.64–3.45]), specific delays in development (AOR: 1.59 [1.23–2.07]), adjustment disorder (AOR: 1.59 [1.06–2.39]), and irritability (AOR: 10.57 [3.36–33.25]), than children not diagnosed with anemia.ConclusionThe prevalence of anemia among children between six months–ten years in or adopted from the Pennsylvania foster care system is within the national rate of U.S. childhood anemia. Odds of several relevant developmental and behavioral diagnoses were greater among children diagnosed with anemia than children who were not.