Completeness of malaria indicator data reporting via the District Health Information Software 2 in Kenya, 2011-2015

Health facility-based data reported through routine health information systems form the primary data source for programmatic monitoring and evaluation in most developing countries. The adoption of District Health Information Software (DHIS2) has contributed to improved availability of routine health...

Full description

Saved in:
Bibliographic Details
Published in:Malaria journal 2017-08, Vol.16 (1), p.344-344, Article 344
Main Authors: Githinji, Sophie, Oyando, Robinson, Malinga, Josephine, Ejersa, Waqo, Soti, David, Rono, Josea, Snow, Robert W, Buff, Ann M, Noor, Abdisalan M
Format: Article
Language:English
Subjects:
Analysis
Children
Childrens health
Computer programs
Data
Developing countries
Disease Notification - statistics & numerical data
Health facilities
Health Information Systems
Health surveys
Human diseases
Humans
Indicators
Information systems
Kenya
LDCs
Low income areas
Malaria
Microscopy
Mortality
Online data bases
Pregnancy
Private sector
Public health
Public sector
Sentinel surveillance
Software
Statistics
Tests
Vector-borne diseases
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Health facility-based data reported through routine health information systems form the primary data source for programmatic monitoring and evaluation in most developing countries. The adoption of District Health Information Software (DHIS2) has contributed to improved availability of routine health facility-based data in many low-income countries. An assessment of malaria indicators data reported by health facilities in Kenya during the first 5 years of implementation of DHIS2, from January 2011 to December 2015, was conducted. Data on 19 malaria indicators reported monthly by health facilities were extracted from the online Kenya DHIS2 database. Completeness of reporting was analysed for each of the 19 malaria indicators and expressed as the percentage of data values actually reported over the expected number; all health facilities were expected to report data for each indicator for all 12 months in a year. Malaria indicators data were analysed for 6235 public and 3143 private health facilities. Between 2011 and 2015, completeness of reporting in the public sector increased significantly for confirmed malaria cases across all age categories (26.5-41.9%, p 
ISSN:1475-2875
1475-2875
DOI:10.1186/s12936-017-1973-y