scholarly journals National Hospital Care Survey Demonstration Projects: Examination of Inpatient Hospitalization and Risk of Mortality Among Patients Diagnosed With Pneumonia

2022 ◽  
Author(s):  
Zachary Peters ◽  
Jill Ashman ◽  
Alexander Schwartzman ◽  
Carol DeFrances
Keyword(s):  
Hospital Care ◽  
National Hospital ◽  
Inpatient Hospitalization ◽  
Risk Of Mortality ◽  
Care Survey

NHSR 167

scholarly journals Quality of linked data: Linking the National Hospital Care Survey Data to the National Death Index

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Lisa Mirel ◽  
Dean Resnick ◽  
Scott Campbell ◽  
Cordell Golden
Keyword(s):  
Survey Data ◽  
Hospital Care ◽  
Probabilistic Approach ◽  
Error Rates ◽  
National Death Index ◽  
National Hospital ◽  
Linkage Algorithm ◽  
Linkage Quality ◽  
Care Survey ◽  
Rich Data

IntroductionData linkages can produce rich data resources to address a variety of research topics. However, assessing linkage quality can be challenging given that there are many approaches and no clear best practices. Objectives and ApproachThrough its Data Linkage Program, the National Center for Health Statistics (NCHS) links national survey data with vital and administrative records. A recent linkage of the National Hospital Care Survey data with the National Death Index employed a new linkage methodology, which included a first time approach for validating the results within the linkage algorithm. ResultsThe new methodology includes two passes: a deterministic linkage, followed by a probabilistic approach based on the Fellegi-Sunter methodology. In the second pass, a key identifier, Social Security Number (SSN), was not used as a linkage variable but instead to determine link accuracy, when available on the patient record. A model was then built to predict link accuracy status according to the computed Fellegi-Sunter total pair weight and then used to estimate it for those patient records without an SSN. Results from this new approach were compared with results from prior linkage methodologies and generated higher match rates and lower error rates. The linkage methodology designed for this study is now being tested on other types of input data such as data from household surveys. Conclusion/ImplicationsThe linkage approach may be incorporated into additional linkages conducted by NCHS. This talk will describe the input sources for this linkage, the methodology used, the error rate assessment and then discuss conclusions and implications for precision and efficiency.

scholarly journals National Hospital Care Survey Demonstration Projects: Severe Maternal Morbidity in Inpatient and Emergency Departments

2021 ◽  
Author(s):  
Josephine Alford ◽  
Sonja Williams ◽  
Michelle Oriaku ◽  
Donielle White ◽  
Alexander Schwartzman ◽  
...  
Keyword(s):  
Emergency Departments ◽  
Hospital Care ◽  
Maternal Morbidity ◽  
Severe Maternal Morbidity ◽  
National Hospital ◽  
Care Survey

This report demonstrates the ability of the National Hospital Care Survey (NHCS) to examine delivery hospitalizations involving severe maternal morbidity (SMM).

scholarly journals Enhancing Identification of Opioid-involved Health Outcomes Using National Hospital Care Survey Data

2021 ◽  
Author(s):  
Donielle White ◽  
Nikki Adams ◽  
Amy Brown ◽  
Adaeze O’Jiaku-Okorie ◽  
Rihem Badwe ◽  
...  
Keyword(s):  
Health Outcomes ◽  
Survey Data ◽  
Hospital Care ◽  
Opioid Overdose ◽  
Identification Algorithm ◽  
National Hospital ◽  
Care Survey

This report documents the development of the 2016 National Hospital Care Survey (NHCS) Enhanced Opioid Identification Algorithm, an algorithm that can be used to identify opioid-involved and opioid overdose hospital encounters.

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