DATA QUALITY OF HEALTH INFORMATION SYSTEM AT KHARTOUM STATE HEALTH CENTERS- SUDAN.

Dr. Kamal Elbssir Mohammed Ali* and Prof Abdel Rahman Kabbashi Abedel Gadir, Ahmed Abu-Rayyan

ABSTRACT

The study was conducted at Khartoum state health centers in Sudan to assess quality of data in Health Information System. This was a comparative cross sectional - facility - based study, two localities were randomly selected (Bahry and Sharqelnil) where Bahry is urban and Sharqelnil were rural or (semi - urban) which were chosen by multi-stage random sampling from each locality. The data were collected by interview with health system service providers, key-informants(the directors of health centers) for obtaining data on the health system, check-list,focus group discussion with statistician (report writer) and in-depth interview with concerned personnel (directors of health affairs in the two localities and the directors of health information system in state ministry of health (SMOH) and federal ministry of health (FMOH). Data was computed and analyzed by SPSS software. Frequencies and proportion were calculated. The study shows that the majority of out-patient registration books were 13(72.2%) were not complete. Two thirds 4(66.7%) of the centers that have birth registration books were not complete. Exactly half 4 (50%) of nutritional registration books were not complete. More than two thirds 7(70%) of the center that have reproductive health registration books were not complete. More than two thirds 13(72.2%) of epidemiological registration books were complete. More than two thirds 13(72.2%) of out-patient registration books were not accurate. The study recommended that the state should conduct intensive frequent training on all the essential components of data management. Namely: health indicators definition and interpretation, use of data tools, recording data, file storage and retrieval, data compilation and analysis, data validation and reporting , supportive supervision should be oriented in all aspects of data management to enable them to provide technical assistance for data quality improvement.

Keywords: quality of data utilized in the system.