ABSTRACTHealth Management Information System (HMIS) helps in evidence-based decision-making, planning, allocation and use of scarce resources at various levels of the health system, as well as for health policy-making. This study examined the utilization of Health Management Information Systems (HMIS) by sub-district health staff in Ketu North Municipality (KNM). A …
See more
ABSTRACTHealth Management Information System (HMIS) helps in evidence-based decision-making, planning, allocation and use of scarce resources at various levels of the health system, as well as for health policy-making. This study examined the utilization of Health Management Information Systems (HMIS) by sub-district health staff in Ketu North Municipality (KNM). A cross-sectional study was carried out in KNM from which data was collected from six sub-municipalities. A structured questionnaire with both closed and open-ended questions was used to collect data from 219 health workers on knowledge, utilization, and factors contributing to or hindering HMIS utilization in KNM. Statistical Package for Social Sciences (SPSS) Version 25 was used for the data analysis. Descriptive analysis especially frequencies, proportions, cross tabulation and chi square test were done to check independent variables that were significantly associated with health information utilization/use with p-value of less than 0.05 deemed to be statistically significant. Multivariable logistics regression was used to identify predictors of HMIS utilization. The data was presented in tables, and charts. Of all the respondents, 92.3% could properly define HMIS, 74.3% knew the deadline for reporting, 50.7% did not know the forms used in reporting HMIS, and 59.8% did not know the right channel of reporting. On utilization, there was 68.8% availability of HMIS and 78% usage, 54.4% availability of person responsible, 71.2% of the decisions were taken through directives from supervisors, 70.8% analyzed data both manually and electronically, 51.9% had not received training on data analysis and utilization, 66% had received training on computer usage. Training on computer usage (aOR= 2.187 95%CI=0.937-5.114), feedback on data collected (aOR= 3.907 95%CI= 1.627-9.380) and knowledge level on HMIS (aOR= 2.563 95%CI= 1.042-6.308), were found to be statistically significant (p<0.005) with HMIS utilization. The study concludes that majority of the staff had low knowledge level on HMIS but high utilization of HMIS. Training on computer use, feedback on data collected, and knowledge level on HMIS, were found to be the factors influencing the utilization of HMIS.
See less
