FACTORS AFFECTING DATA QUALITY IN PRIVATE FACILITIES IN KALUNGU DISTRICT.THE CASE OF ST. JOSEPH OF GOOD SHEPHERD KYAMULIBWA H/C IV.  A CROSS-SECTIONAL STUDY.

Peter  Wabwire; David Asimwe; Janefrank  Nalubega; Edith  Akankwasa

doi:10.51168/sjhrafrica.v5i3.972

Authors

Peter Wabwire Department of Medical Records and Health Informatics, Mildmay Institute of Health Sciences.
David Asimwe Department of Medical Records and Health Informatics, Mildmay Institute of Health Sciences.
Janefrank Nalubega Mildmay Institute of Health Sciences, P.O.BOX 24985
Edith Akankwasa Mildmay School of Nursing and Midwifery.

DOI:

https://doi.org/10.51168/sjhrafrica.v5i3.972

Keywords:

Data quality, Private facilities, Kyamulibwa Health Center IV, Kalungu district

Abstract

Background:

To find out how external and internal factors affect data quality in Private facilities in Kalungu district.

Methodology:

The study used a cross-sectional research design on a population that involved the staff of St Joseph of Good Shepherd Kyamulibwa H/ C IV. A total of 32 respondents were selected for the study. Both random and non-random sampling techniques were used in selecting the samples. The study was guided by a quantitative model. Data from the questionnaires was analyzed quantitatively using Statistical Package for Social Scientists (SPSS) Data from questionnaires was presented in the form of frequency tables and bar graphs.

Results:

Females were 18(56%) and 14 (44%) were males whose age was between 18 and above years. In regards to internal factors that affect data quality (69%) strongly agreed that the Compilation of inaccurate data by departments automatically distorts data quality in the long run, while 4(12%) disagreed that most departments don’t have consistent data models that would ensure the integrity and quality of the data. 1(3%) strongly disagreed that the Completeness of information entered into the facility record is not dependable. In regards to the external factors, 13(41%) strongly agreed that monitoring and keeping track of data over time and reporting variations in the data affects the quality of data. While 1(3%) strongly disagreed that data compiled by departments is not relevant to what user’s health needs requirements.

Conclusion:

The study findings confirmed that internal and external factors negatively affect data quality in private facilities.

Recommendation:

Private facilities should invest in formal training for all staff in data management, M&E topics included in the facilities’ Continuous Medical Education (CME) sessions to translate into the culture of data demand and information use (DDIU), Mentorships, and forming Quality improvement projects (QI) to promote sustainability in private facilities.