239781
Strengthening health management information systems in India: An assessment
Wednesday, November 2, 2011
Thiagarajan Sundararaman, MD
,
National Health Systems Resource Center, New Delhi, India
Alia Kauser, MBA
,
HMIS Division, National Health Systems Resource Center, New Delhi, India
Amit Mishra, MHA
,
HMIS Division, National Health Systems Resource Center, New Delhi, India
Tanu Priya, MHA
,
HMIS Division, National Health Systems Resource Center, New Delhi, India
Itisha Vasisht, MBA
,
HMIS Division, National Health Systems Resource Center, New Delhi, India
Since 2005, National Rural Health Mission (NRHM) is strengthening ‘Health Management Information Systems (HMIS)' in India towards decentralized public health planning but validity of HMIS is not established. ‘District Level Household Survey (DLHS)' provides data similar to HMIS. Objective: To determine if HMIS strengthening yield data that are comparable to DLHS. Methodology: HMIS: 2009-10 and DLHS III: 2007-08 data on 14 indicators (antenatal care registration- trimester1, home deliveries, home deliveries-skilled birth attendant, iron folic acid during pregnancy, postnatal complications attended, sterilization (male-female), intrauterine device insertions, condoms, oral and emergency contraceptive pills, newborns breastfed within 1 hour of birth, reproductive/sexually transmitted infections treated, HIV test-female) were compared for 590 Districts. Districts of States that solicited NRHM's support since 2005 were categorized as ‘HMIS early', others as ‘HMIS late'. If HMIS data were less/more 10% than DLHS III data then they were defined ‘comparable'. Chi-square and logistic regression analyses were done to determine odds of ‘HMIS early' Districts yielding data ‘comparable' with DLHS than ‘HMIS late' Districts. Results: Data were ‘comparable' in more than 90% Districts for 5 contraceptive indicators. Greater proportion of ‘HMIS early' Districts had ‘comparable' data for: home deliveries-skilled birth attendant, oral contraceptive pills, sterilization-female, and HIV test-female, (p<0.05). ‘HMIS early' Districts were 3.39 (95% CI:1.61, 7.16, p<0.05) times and 2.67 (95% CI:1.81, 3.95, p<0.05) times more likely to have ‘comparable' data for oral contraceptive pills and home deliveries-skilled birth attendant, respectively than ‘HMIS late' Districts. Conclusions: HMIS and DLHS data are ‘comparable'; NRHM's support yields ‘comparable' data.
Learning Areas:
Administration, management, leadership
Program planning
Learning Objectives: 1. Compare strengths and limitations of HMIS and DLHS data sources.
2. Assess benefits of continued HMIS strengthening which provides data that are readily available for decentralized evidence-based public health planning.
Keywords: Health Management Information Systems, Decision-Making
Presenting author's disclosure statement:Qualified on the content I am responsible for because: I lead the 'Health Management Information Systems' division of National Health Systems Resource Center, New Delhi, India.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines,
and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed
in my presentation.
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