Economic Aspects of the Missing Data Problem - the Case of the Patient Registry

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F17%3A43912673" target="_blank" >RIV/62156489:43110/17:43912673 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.11118/actaun201765051779" target="_blank" >https://doi.org/10.11118/actaun201765051779</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.11118/actaun201765051779" target="_blank" >10.11118/actaun201765051779</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Economic Aspects of the Missing Data Problem - the Case of the Patient Registry

Popis výsledku v původním jazyce

Registries are indispensable in medical studies and provide the basis for reliable study results for research questions. Depending on the purpose of use, a high quality of data is a prerequisite. However, with increasing registry quality, costs also increase accordingly. Considering these time and cost factors, this work is an attempt to estimate the cost advantages of applying statistical tools to existing registry data, including quality evaluation. Results for quality analysis showed that there are unquestionable savings of millions in study costs by reducing the time horizon and saving on average EUR 523,126 for every reduced year. Replacing additionally the over 25 % missing data in some variables, data quality was immensely improved. To conclude, our findings showed dearly the importance of data quality and statistical input in avoiding biased conclusions due to incomplete data.

Název v anglickém jazyce

Economic Aspects of the Missing Data Problem - the Case of the Patient Registry

Popis výsledku anglicky

Registries are indispensable in medical studies and provide the basis for reliable study results for research questions. Depending on the purpose of use, a high quality of data is a prerequisite. However, with increasing registry quality, costs also increase accordingly. Considering these time and cost factors, this work is an attempt to estimate the cost advantages of applying statistical tools to existing registry data, including quality evaluation. Results for quality analysis showed that there are unquestionable savings of millions in study costs by reducing the time horizon and saving on average EUR 523,126 for every reduced year. Replacing additionally the over 25 % missing data in some variables, data quality was immensely improved. To conclude, our findings showed dearly the importance of data quality and statistical input in avoiding biased conclusions due to incomplete data.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis

ISSN

1211-8516

e-ISSN

—

Svazek periodika

65

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

13

Strana od-do

1779-1791

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85042880232