Data quality assessment and associated factors in the health management information system among health centers of Southern Ethiopia

Background A well designed Health management information system is necessary for improving health service effectiveness and efficiency. It also helps to produce quality information and conduct evidence based monitoring, adjusting policy implementation and resource use. However, evidences show that data quality is poor and is not utilized for program decisions in Ethiopia especially at lower levels of the health care and it remains as a major challenge. Method Facility based cross sectional study design was employed. A total of 18 health centers and 302 health professionals were selected by simple random sampling using lottery method from each selected health center. Data was collected by health professionals who were experienced and had training on HMIS tasks after the tools were pretested. Data quality was assessed using accuracy, completeness and timeliness dimensions. Seven indicators from national priority area were selected to assess data accuracy and monthly reports were used to assess completeness and timeliness. Statistical software SPSS version 20 for descriptive statistics and binary logistic regression was used for quantitative data analysis to identify candidate variable. Result A total of 291 respondents were participated in the study with response rate of 96%. Overall average data quality was 82.5%. Accuracy, completeness and timeliness dimensions were 76%, 83.3 and 88.4 respectively which was lower than the national target. About 52.2% respondents were trained on HMIS, 62.5% had supervisory visits as per standard and only 55.3% got written feedback. Only 11% of facilities assigned health information technicians. Level of confidence [AOR = 1.75, 95% CI (0.99, 3.11)], filling registration or tally completely [AOR = 3.4, 95% CI (1.3, 8.7)], data quality check, supervision AOR = 1.7 95% CI (0.92, 2.63) and training [AOR = 1.89 95% CI (1.03, 3.45)] were significantly associated with data quality. Conclusion This study found that the overall data quality was lower than the national target. Over reporting of all indicators were observed in all facilities. It needs major improvement on supervision quality, training status to increase confidence of individuals to do HMIS activities. </jats:sec

Multi variable logistic regression result on data quality for health centers of Hadiya zone southern Ethiopia 2018.

Multi variable logistic regression result on data quality for health centers of Hadiya zone southern Ethiopia 2018.</p

General structure and capability of HMIS in health centers of Hadiya Zone, southern, Ethiopia 2018.

General structure and capability of HMIS in health centers of Hadiya Zone, southern, Ethiopia 2018.</p

Questinnaire Amharic version.

(DOCX)</p

Technical and behavioural factors of HMIS data quality in health centers of Hadiya zone, southern Ethiopia 2018.

Technical and behavioural factors of HMIS data quality in health centers of Hadiya zone, southern Ethiopia 2018.</p

Questinnannire English version.

(DOCX)</p

Timeliness of reports in health centers of Hadiya zone, Southern Ethiopia 2018 Supporting information.

Timeliness of reports in health centers of Hadiya zone, Southern Ethiopia 2018 Supporting information.</p

Socio demographic characteristics of respondents in health centers of Hadiya zone, Southern Ethiopia, 2018 [n = 291].

Socio demographic characteristics of respondents in health centers of Hadiya zone, Southern Ethiopia, 2018 [n = 291].</p

Sociodemographic and Hematologic Profile of Breast Cancer Patients Attending a Tertiary Care Teaching Hospital in Ethiopia: Case Control Study

Abstract Background: Breast cancer is among the leading causes of cancer death in women. Different socio-demographic factors have impact on early diagnosis and treatment of breast cancer. Hematological abnormalities are also some of the conditions to be monitored during diagnosis and treatment of breast cancer.Objective: To describe socio demographic and hematologic profile of patients with breast cancer at Tikur Anbessa Specialized Hospital.Methods: Case control study was conducted from May 2018 to June 2019. A total of 230 cases and 230 controls participated in the study. Descriptive analysis was made to assess the socio demographic characteristics. Blood samples for hematological parameters were analyzed, using SYSMEXKX21N hematology analyzer. Independent student t- test was performed to compare the mean hematological parameters of cases and controls. Results: The mean age was 42.8 + 12.1 and 39.3 + 11.1 years for cases and controls, respectively. One hundred (43%) of cases and 34 (14.8%) of controls were illiterate. Moreover, 175 (76.1%) of cases and 155 (67.4%) of controls were married. The mean value of Hemoglobin, Red Blood cell, Packed Cell Volume (13.1 + 1.6g/dl, 4.6 + 0.54/1012/L , 38.7 + 4.5 %, respectively) of cases were significantly lower than the controls (14.0 + 1.3g/dl, 4.8 + 0.47 / 1012/L, 40.5 + 3.5% respectively). The mean platelet and total WBC count were 323.4+ 108.1 x 109/L and 7.1 + 2.8 x 109/L for cases and 282.0 +70.0 x 109/L, and 7.1 + 2.4 x 109/L for controls respectively. In addition, 20.4% of cases and 5.6 % of controls were anemic based on their hemoglobin value.Conclusion and recommendations: The majority of breast cancer cases were less than 40 years of age and illiterate. Most of the RBC parameters of cases were significantly lower than the controls. Therefore, attention should be given to those with the designated hematologic abnormalities.</jats:p