Document Detail

Predictors of nonattendance at the first newborn health supervision visit.
MedLine Citation:
PMID:  8050256     Owner:  NLM     Status:  MEDLINE    
Failure to attend the first newborn health supervision visit is an important problem for the Continuity Care Clinic of Children's Hospital Medical Center of Akron, Ohio. The goal of this study was to use objective data from the neonatal record to identify newborns at high risk of failure to attend. Clinical and social risk factors of the mother and newborn were abstracted from the neonatal progress notes of 319 infants. The relative risk (RR) of nonattendance was calculated for each factor, and rules for predicting failure to attend were evaluated. The best predictors were multiparous mother (RR = 2.4, P = .01), no telephone in home (RR = 2.6, P = .002), and unmarried teenage mother (RR = 5.8, P = .05). Newborns who had a medical problem and had a adult mother were more likely to attend (RR = 0.4, P = .02). These risk factors were easily identifiable from the medical record at birth. Because interventions may be labor-intensive, it is important to target the families at the highest risk.
E M Specht; C C Bourguet
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Clinical pediatrics     Volume:  33     ISSN:  0009-9228     ISO Abbreviation:  Clin Pediatr (Phila)     Publication Date:  1994 May 
Date Detail:
Created Date:  1994-09-08     Completed Date:  1994-09-08     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0372606     Medline TA:  Clin Pediatr (Phila)     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  273-9     Citation Subset:  AIM; IM    
Northeastern Ohio Universities College of Medicine, Rootstown.
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MeSH Terms
Hospital Bed Capacity, 100 to 299
Infant, Newborn*
Mothers / psychology
Outpatient Clinics, Hospital / utilization*
Physical Examination
Primary Prevention*
Risk Factors
Socioeconomic Factors
Treatment Refusal*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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