Assessing determinants of health management information System (HMIS) among Health Workers: Kiswa Health Centre III and Kisenyi Health Centre IV
Abstract
Health management information system (HMIS) data are important for guiding the attainment of
health targets in low- and middle-income countries. However, the rate of use for the HMIS is
often poor. This paper assessed determinants of health management information system (HMIS)
data among health workers in Kiswa Health Centre III and Kisenyi Health Centre IV. The study
which was conducted from2021 to 2023. A cross-sectional conducted to assess the skills and
knowledge of health workers involved in HMIS data management and the challenges in the
technological infrastructure that hindered the effective utilization of HMIS in Kiswa Health
Centre III and Kisenyi Health Centre IV of Kampala district.
It was observed from the study that most of the clients were familiar with the functionalities of
the HMIS, confident with the ability to use the HMIS effectively and had received training on
how to use the HMIS.
Majority of the respondents agreed that using the HMIS improved their work efficiency and are
very likely to recommend the use of the HMIS to a colleague in the healthcare industry. The
power supply and internet connectivity at the two health centres was generally reliable to support
HMIS use. Respondents found the HMIS software to be moderately user-friendly and rarely did
hardware malfunctions occur when using the HMIS as mentioned by most of the respondents. In
regards to the security and privacy measures in place for organization's HMIS most respondents
were confident about it followed by those that were neutral about the subject in question.
Most Respondents were of the view that increased funding for HMIS in their organization
improved patient follow up and turn up and storage of patients‟ information/data recording.
Respondents mainly received training or guidance on ethical considerations related to HMIS
mostly on quarterly, monthly and annual basis.
The study went ahead to establish the relationship between the level of education and HMIS use
by the respondent by cross tabulation of level of education and use of HMIS to support decision
making which revealed that there was a likelihood of a relationship between the two variables a
likelihood value of (21.8) and was statistically significant at p-value= (0.039). Additionally, there
was a likelihood of a relationship between professional training and use of HMIS to support
decision making at a likelihood value of (35.6) and was statistically significant at p-value=
(0.024)

