• Users Online: 107
  • Home
  • Print this page
  • Email this page
Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Subscribe Contacts Login 
ORIGINAL ARTICLE
Year : 2015  |  Volume : 13  |  Issue : 1  |  Page : 3-11

Predictive value of institutional impact factor as an indirect measure of maternal mortality in Nigeria: A systematic review


1 International Institutes of Advanced Research and Training, Chidicon Medical Center, Public Health Policy Institute, Owerri, Nigeria
2 Department of Surgery, Babcock University Teaching Hospital, Ilishan-Remo, Ogun State, Nigeria

Correspondence Address:
Philip C Njemanze
International Institutes of Advanced Research and Training, Chidicon Medical Center, No 1 MCC/Uratta Road, P.O. Box 302, Owerri, Imo State
Nigeria
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/1118-4647.158706

Rights and Permissions

Background: This study developed a novel measure termed as an institutional impact factor (IIF), which was used for predicting the trends of maternal mortality ratio (MMR) resulting from poor management of the health system. Methods: A total of 3518 publications from Nigeria in PubMed from 1975 to 2005, were used to obtain IIF for each institution studied. The study periods compared, were period A (1975-1989), period B (1990-2004), and period C (1990-2005). Results: The public health sector period A mean ± standard error (SE) IIF was 1.423 ± 0.09, and dropped significantly in period B, to IIF of 0.704 ± 0.024, P < 0.001. Conversely, in period A, the mean ± SE MMR, was 508.8 ± 115.7/100,000 live births, and rose significantly in period B to MMR of 1895.5 ± 363.7/100,000 live births, P < 0.05. The linear regression model suggested a negative correlation between IIF and MMR. The overall, F (1,18) =15.5, P < 0.001, R2 was 0.463, BETA coefficient was − 0.68, P < 0.0001. The intercept 2957.6 was significant, P < 0.0001. We predicted that the Millennium Development Goals 5 required a 75% drop in MMR to 127/100,000 live births, and IIF rise to 1.69, in 2015. Conclusion: The IIF may be a health metric index for monitoring efficiency of the health workforce.


[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
    Viewed1501    
    Printed166    
    Emailed0    
    PDF Downloaded178    
    Comments [Add]    

Recommend this journal