Users Online: 665 Home Print this page Email this page Small font sizeDefault font sizeIncrease font size
 

 

Home About us Editorial board Search Ahead of print Current issue Archives Submit article Instructions Subscribe Contacts Login 
     
SHORT COMMUNICATION
Year : 2011  |  Volume : 55  |  Issue : 4  |  Page : 324-328

Study comparing the management decisions by IMNCI algorithm and pediatricians in a teaching hospital for the young infants between 0 to 2 months


1 Demonstrator, Department of Community Medicine, Bankura Sammilani Medical College, Bankura, India
2 Assistant Professor, Department of Community Medicine, Medical College, Kolkata, India
3 Associate Professor, Department of Community Medicine, College of Medicine and Jawaharlal Nehru Memorial Medical Hospital, Kalyani, WBUHS, India
4 Professor and Head, Department of Community Medicine, Medical College, Kolkata, India

Correspondence Address:
Agnihotri Bhattacharyya
Tobin Road, Rajpur, P.O. Rajpur, 24 PGS(S), West Bengal – 700 149
India
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0019-557X.92418

Rights and Permissions

Integrated management of neonatal and childhood illness (IMNCI) was already operational in many states of India, but there were very few studies in Indian scenario comparing its validity and reliability with the decisions of pediatricians. The general objective of the study is to compare the IMNCI decisions with the decisions of pediatricians and the specific objectives are to assess the agreement between IMNCI decisions and the decisions of pediatricians, to assess the under diagnosis and over diagnosis in IMNCI algorithm in comparison to the decisions of pediatricians and to assess the significance of multiple presenting symptoms in IMNCI algorithm. The study was conducted among the sick young infants presenting in pediatric department from January to March 2009. The IMNCI decision was compared with pediatrician's decisions by percent agreement, Kappa and weighted Kappa with the aids of SPSS version 10. The overall diagnostic agreement between IMNCI algorithm and pediatrician's decisions was 55.56%, (Kappa 0.32 and weighted Kappa 0.41) with 33.33% over diagnosis, and 11.11% under diagnosis. 71.88% young infants with multiple symptoms and 40% with single symptom were classified as red by IMNCI algorithm, which is statistically significant (P=0.004) whereas 56.25% young infants with multiple and 31.76% with single symptom were considered admissible by pediatricians, which is not statistically significant (P=0.052).


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed2108    
    Printed56    
    Emailed1    
    PDF Downloaded266    
    Comments [Add]    
    Cited by others 2    

Recommend this journal