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Developing and testing a discharge planning decision support tool for hospitalized pediatric patients
Author(s) -
Holland Diane E.,
Conlon Patricia M.,
Rohlik Gina M.,
Gillard Kris L.,
Tomlinson Angie L.,
Raadt Dawn M.,
Finseth Onalee R.,
Rhudy Lori M.
Publication year - 2014
Publication title -
journal for specialists in pediatric nursing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.499
H-Index - 38
eISSN - 1744-6155
pISSN - 1539-0136
DOI - 10.1111/jspn.12064
Subject(s) - discharge planning , referral , medicine , test (biology) , matching (statistics) , decision support system , acute care , family medicine , health care , medical emergency , nursing , computer science , data mining , paleontology , pathology , economics , biology , economic growth
Purpose To develop and test a decision support tool that identifies patients who would benefit from early consult with discharge planners. Design and Methods A predictive, correlational design was used with parents/guardians of children (1 month to 18 years; N = 197). Data were collected by interviews and record reviews. Expert consensus determined referral to discharge planning. Results Mean age was 8.7 years; mean length of stay was 7.5 days. Forty percent ( n = 79) were identified for early referral. The variable “substantial post‐acute care needs” had the strongest association with expert consensus (internally validated AUC = 0.79). Practice Implications Findings from this study provide preliminary evidence for a decision support tool to improve the discharge planning process by reducing individual decision‐making variability through systematic matching of patient needs to service delivery.