Utilization of District Health Information for Decision Making and its Associated factors among Case Team Heads in Selected Public Health Institutions of Addis Ababa City Administration, Ethiopia.
No Thumbnail Available
Date
2021-02
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Addis Abeba University
Abstract
Background
The district health information system plays a critical role in supporting evidence-based
decision-making for all system pillars. However, health workers do not fully utilize district
health information for decision-making. Hence, to ensure the effective and efficient utilization of
health information, periodic assessment becomes very crucial. The aim of the study was,
therefore, to assess the utilization of district health information for decision making and its
associated factors among case team heads in selected public health institutions of Addis Ababa
City Administration, Ethiopia from February to April 2020.
Method: A cross-section study design was conducted using a quantitative approach. A pretested
&
standard
PRISM
tool
was
administered
to
collect
quantitative
data
from
240
case
team
heads
in 23 selected health institutions. Data were entered by Epi-data and were cleaned and
analyzed by SPSS version 23.0. Descriptive statistics were used to summarize key findings.
Logistic regression was used to assess factors associated with outcome variables and findings
were reported using crud and adjusted odds ratio and corresponding 95% confidence interval.
Result: A total of 234 case team heads participated in the study with a response rate of 97%.
Out of the total, 55.1% were females. About 164(70.1%) of them have less than 5 years‟ work
experience and only 90(38.5%) participants attended training on DHIS2 software; Over all, the
proportion of utilization of district health information among case team heads in health
institutions was about 41.5%( 95%CI: 35.09-47.81). Among other factors ICT infrastructure
(AOR 5.03, 95% CI 4.02-9.67), financial support (AOR 5.68, 95% CI 9.84-15.39), access of
training (AOR 3.64 95% CI 4.75-7.28), supportive supervision (AOR 2.50, 95% CI 1.23-3.16),
were significantly associated utilization of DHIS2 data.
Conclusion and recommendation: Generally, this study revealed that poor utilization of district
health information among the case team heads in health institutions. Inadequate ICT
infrastructure, poor supportive supervision, shortage of financial support, training gaps of the
users, were reduces the utilization of district health information s. It needs major improvement to
avail ICT infrastructure; computer, internet connectivity, coordinated supervision and fill
training gaps to enhance the confidence of the DHIS2 users.
Description
Keywords
Health information systems, utilization of DHIS, DHIS2 software.