Guidance to reinforce the credibility of health care database studies and ensure their appropriate impact

2017 ◽  
Vol 26 (9) ◽  
pp. 1013-1017 ◽  
Author(s):  
Andrew Bate
Keyword(s):  
Health Care ◽  
Health Care Database ◽  
Care Database

A strategy for assessment and validation of major bleeding cases in a primary health care database in Spain

2021 ◽  
Author(s):  
Airam Burgos‐Gonzalez ◽  
Verónica Bryant ◽  
Miguel Angel Maciá‐Martinez ◽  
Consuelo Huerta
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Major Bleeding ◽  
Primary Health ◽  
Health Care Database ◽  
Care Database

scholarly journals French administrative health care database (SNDS): The value of its enrichment

Therapies ◽  
2019 ◽  
Vol 74 (2) ◽  
pp. 215-223 ◽  
Author(s):  
Lucie-Marie Scailteux ◽  
Catherine Droitcourt ◽  
Frédéric Balusson ◽  
Emmanuel Nowak ◽  
Sandrine Kerbrat ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Database ◽  
Care Database

Extracting Data from the National Inpatient Sample

2010 ◽  
pp. 69-93
Author(s):  
Patricia Cerrito ◽  
John Cerrito
Keyword(s):  
Health Care ◽  
Randomized Controlled Trial ◽  
Propensity Score ◽  
Controlled Trial ◽  
Primary Diagnosis ◽  
The Other ◽  
National Inpatient Sample ◽  
Propensity Scoring ◽  
Health Care Database ◽  
Care Database

In the other type of health care database that we discuss in this chapter, there are multiple columns for each patient observation. It is more difficult to find both the most frequently occurring codes, or to find patients with specific codes for the purpose of extraction. For this reason, many studies focus on the primary diagnosis or procedure. We will provide the programming necessary to find the most frequent codes and to find the patients who have a specific condition. Another aspect of preprocessing we will explore in this chapter using the National Inpatient Sample is that of propensity scoring. When it is not possible to perform a randomized, controlled trial, an attempt is made to emulate such a trial by comparing two observational subgroups. The two groups are matched based upon demographic factors and related patient conditions. It is possible to define a level of patient severity and then to match patients with the severity level as part of the propensity score.

scholarly journals Validation sampling can reduce bias in health care database studies: an illustration using influenza vaccination effectiveness

2013 ◽  
Vol 66 (8) ◽  
pp. S110-S121 ◽  
Author(s):  
Jennifer Clark Nelson ◽  
Tracey Marsh ◽  
Thomas Lumley ◽  
Eric B. Larson ◽  
Lisa A. Jackson ◽  
...  
Keyword(s):  
Health Care ◽  
Influenza Vaccination ◽  
Health Care Database ◽  
Validation Sampling ◽  
Care Database

scholarly journals Data Resource Profile: MedicineInsight, an Australian national primary health care database

2019 ◽  
Author(s):  
Doreen Busingye ◽  
Christopher Gianacas ◽  
Allan Pollack ◽  
Kendal Chidwick ◽  
Alistair Merrifield ◽  
...  
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Data Resource ◽  
Primary Health ◽  
Health Care Database ◽  
Care Database
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