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Get the free HCUP Kids' Inpatient Database (KID) Overview - hcup-us ahrq

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This document provides an overview of the HCUP Kids' Inpatient Database (KID), detailing its purpose, data use limitations, data sources, and access requirements for research and aggregate statistical
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How to fill out hcup kids inpatient database

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How to fill out HCUP Kids' Inpatient Database (KID) Overview

01
Visit the HCUP website to access the KID Overview section.
02
Download the KID data set and accompanying documentation.
03
Review the documentation to familiarize yourself with the data elements included.
04
Identify the specific objectives of your research to determine which variables are relevant.
05
Follow the guidelines for data extraction, ensuring compliance with confidentiality standards.
06
Analyze the data using appropriate statistical methods based on your research questions.
07
Interpret the results in the context of the pediatric inpatient care landscape.

Who needs HCUP Kids' Inpatient Database (KID) Overview?

01
Researchers in pediatric health care seeking to analyze inpatient trends.
02
Policy makers interested in understanding hospital utilization by children.
03
Public health officials focused on improving child health outcomes.
04
Healthcare providers looking to benchmark their services against national standards.
05
Academic institutions conducting studies related to pediatric care.
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“Database, also called electronic database, any collection of data, or information, that is specially organized for rapid search and retrieval by a computer. Databases are structured to facilitate the storage, retrieval, modification, and deletion of data in conjunction with various data-processing operations.
Inpatient care may be appropriate for children who are experiencing severe mental health symptoms, such as: Persistent depression or anxiety that does not improve with outpatient treatment. Suicidal thoughts or self-harming behavior. Aggressive or violent behavior.
The KID is the largest publicly-available all-payer pediatric inpatient care database in the United States. Unweighted, it contains data from approximately 3 million pediatric discharges each year. Weighted, it estimates roughly 6 million hospitalizations.
The NIS is the largest publicly available all-payer inpatient healthcare database designed to produce U.S. regional and national estimates of inpatient utilization, access, cost, quality, and outcomes.
KID releases for data years 1997, 2000, 2003, 2006, 2009, 2012, 2016, 2019, and 2022 are available for purchase online through the Online HCUP Central Distributor. The KID was not produced for 2015 because of the transition from ICD-9-CM to ICD-10-CM/PCS coding.
The most common diagnoses overall were bronchiolitis (n = 97 564 hospitalizations), pneumonia (n = 86 702 hospitalizations), asthma (n = 84 436 hospitalizations), major depressive disorder (n = 79 147 hospitalizations), and cellulitis (n = 42 556 hospitalizations).

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The HCUP Kids' Inpatient Database (KID) is a national dataset that provides information on pediatric inpatient stays in hospitals across the United States. It is designed to support research, quality improvement, and policy analysis concerning children's health and hospital care.
Hospitals that participate in the HCUP data collection process are required to file the HCUP Kids' Inpatient Database (KID) Overview. This typically includes both public and private hospitals that provide inpatient care for children.
To fill out the HCUP KID Overview, hospitals must gather data on pediatric inpatient stays, including patient demographics, clinical diagnoses, procedures performed, and discharge dispositions. This information must be accurately coded and submitted according to HCUP's guidelines.
The purpose of the HCUP Kids' Inpatient Database (KID) is to provide a comprehensive and reliable resource for researchers and policymakers to analyze pediatric hospitalizations, examine trends in children's health care, and inform decisions related to health policy and funding.
The information that must be reported includes patient demographic details (such as age, sex, and insurance type), clinical information (diagnosis codes and procedure codes), length of stay, discharge status, and hospital characteristics.
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