FACTORS RELATED TO QUALITY DATA WHICH DETERMINE HE ALTH INFORMATION UTILIZATION IN MAKING DECISION AMONG HEALTHCARE MANAGERS IN MOMBASA COUNTY, K ENYA
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Date
2020Author
Otieno, Moses Ochieng
Muiruri, Lillian
Kawila, Caroline
Type
ArticleLanguage
enMetadata
Show full item recordAbstract
Purpose:
This was a study based on
Health Info
rmation Systems pillar.
T
he st
udy sought to
explore factors related to
quality
data
which influence health information utilization in making
decision
among healthcare managers in Mombasa County
.
Methodology:
This was a Descriptive Survey Study design whe
re desired data was obtained
from selected
respondents by semi
-
structured questionnaires.
The research targeted
a total of 303
healthcare managers in Mombasa County which comprised of 21 County Health Management
Team (CHMT) members, 56 Sub
-
county Health Ma
nagement Team (SCHMT) members from
the four sub
-
counties, 43 facility In
-
Charges from the 43 public health facilities and 183 Heads
of Departments (HODs).
A sample size of
91 healthcare managers
was used in the study
. This
was 30% of the target population
and were randomly selected. A
response rate of 98.9%
was
achieved
.
Descriptive and Inferential analysis was done.
Data was analyzed with SPSS version
23.
Findings:
R
esults
revealed that
quality
data
factors
(β
4
= 0.298; t = 4.079; p < 0.01)
w
ere
significant predictors of
health
information utilization in making decision among healthcare
managers in Mombasa Coun
ty
.
These results imply that improvement in
these variables
(data
accuracy
, completeness
and timelin
ess)
will enhance health information utilization.
How these
variable
s are accomplished influence the level of health information utilization in making
decision
.
Unique contribution to theory, practice and policy:
When the study recommendations are
impleme
nted, there will be assured q
uality
data which will assist in coming
up with the design of
disease prevention, interventions and to monitor and evaluate the progress made on the measures
put in place.
By doing so,
the study will have validated the theory o
f Evidence Based Healt
h
Information System by Carbone, (2009), on which the study was anchored.
Quality data is,
therefore, not only crucial in securing health status description, service coverage, and
performance, but also inspires confidence in the HIS
a
mong healthcare manag
e
rs.
The study
recommends that
the MOH
introduce
s
HMIS
as a subject
in the pre
-
service curriculum of all
healthcare cadres
in order to improve HIS
.
Mombasa County Government
should ensure t
hat
quality
data
is generated (with regards to
accuracy, completenes
s and timeliness) at all levels of
the health systems
for
purposes of accountability and
more importantly its utility to improve
healthcare programs, to survive and prosper in the current dynamic
healthcare environment
.