Evaluation of Health Management Information System (HMIS) Disease Classification in Capturing Morbidity Data: The Case of Tikur Anbessa Specialized Hospital
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Date
2010-09
Authors
Emawayish Birhanemeskel
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Publisher
Addis Ababa University
Abstract
The HMS which draws its data from routine health service and administrative records provide an ideal source for indicators that are reviewed frequently to monitor and refine program implementation. However, the ability of HMIS shortlist in capturing morbidity data specifically has been debated. This study aims to evaluate the HMIS disease classification in capturing morbidity data.
A cross sectional study was employed using both quantitative methods in Tikur Anbessa Specialized Hospital (TASH). Purpose sampling technique was used to select 15 key informants for in-depth interviews and morbidity data from abstract disease registers, registered in time period between 01/07/2001 to 30/6/2002 EC. A total of 10848 records were selected from medical and surgical departments to measure the efficiency of HMIS shortlist as compared with ICD-10 special tabulation shortlist for morbidity data as a gold standard.
The frequency distributions of disease lists of the HMIS and ICD-10 shortlists were compared and analyzed. The sensitivity and specificity of the HMIS disease lists was assessed and focus was made on four selected ICD-10 chapters. The sensitivity varied among the selected chapters.
The highest sensitivity was for chapter I.99.4%. The sensitivity for chapter II. chapter IX . chapter XIV was 45.2%. 54.6% 27.2% respectively. The average sensitivity was 46.3%. The specificity ranges from 86.1% to 100% for the selected ICD-10 chapters, and the average specificity was 96%.
In general. This study demonstrated that the HMIS disease classification shortlist is inefficient and incomplete in capturing the overall morbidity data TASH. How ever ,the HMIS shortlist is effective and efficient in capturing morbidity data on infectious and parasitic diseases. The overall findings of this study imply the applications of ICD-10 shortlist with appropriate modifications for morbidity data collection, reporting and analysis in TASH.
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Keywords
HMIS, ICD-10