OSU Navigation Bar

The Ohio State University University Libraries Knowledge Bank

Interrater reliability of research assistants performing data collection for the Ohio Perinatal Research Network

Please use this identifier to cite or link to this item: http://hdl.handle.net/1811/52065

Show simple item record

Files Size Format View
Joan-Randle-honors-thesis-2012-4.pdf 94.07Kb PDF View/Open

dc.contributor.advisor Patrick, Thelma
dc.creator Randle, Joan
dc.date.accessioned 2012-06-08T19:48:10Z
dc.date.available 2012-06-08T19:48:10Z
dc.date.issued 2012-06
dc.identifier.uri http://hdl.handle.net/1811/52065
dc.description.abstract The purpose of this study is to investigate the inter-rater reliability of data collected through chart abstraction by research assistants affiliated with The Perinatal Research Repository (PRR), a division of the Ohio Perinatal Research Network (OPRN). Assessing inter-rater reliability is an important component of chart abstraction which ensures the purity of data collected. The Perinatal Research Repository collects data from premature infants, their mothers and fathers for current and future research. Twenty charts previously abstracted by the senior research assistant were randomly selected for this study. Four specific variables were identified for comparison: indications for c-section; maternal hypertension; complications and conditions during pregnancy; and indications for induction of labor. After a second abstraction the identified variables were compared for reliability. A kappa coefficient will be determined. Expected findings: If consistency is determined, the study will be terminated after ten charts are reviewed. If inter-rater reliability is found to be inconsistent, the specific variations in the procedures of carrying out the abstraction and interpreting the results will be identified and the OPRN Maternal Abstraction Form will be modified. The Perinatal Research Repository is an important resource for social context data, clinical data, demographic data, environmental context data, and biospecimen data related to discovering and implementing actions that measurably reduce prematurity. Reliable data abstraction ensures the quality of research is preserved. en_US
dc.language.iso en_US en_US
dc.publisher The Ohio State University en_US
dc.relation.ispartofseries The Ohio State University. College of Nursing Honors Theses; 2012 en_US
dc.subject interrater reliability en_US
dc.subject prematurity en_US
dc.subject perinatal research en_US
dc.subject Ohio Perinatal Research Network en_US
dc.title Interrater reliability of research assistants performing data collection for the Ohio Perinatal Research Network en_US
dc.type Thesis en_US
dc.description.embargo No embargo en_US