scholarly journals Assessment of Coverage and Quality of Selected Clinical Chemistry Tests among Medical Laboratories of Health Facilities in Jimma Zone, South West Ethiopia

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Aklilu Getachew ◽  
Waqtola Cheneke ◽  
Yaregal Asres ◽  
Shiferaw Bekele ◽  
Estifanos Kebede
Keyword(s):  
Reference Range ◽  
Clinical Chemistry ◽  
Health Facilities ◽  
Medical Laboratories ◽  
South West ◽  
Jimma Zone ◽  
Allowable Error ◽  
Clinical Chemistry Tests ◽  
South West Ethiopia

Background. Medical laboratories play essential roles in measurement of analyte in clinical sample for the diagnosis and monitoring of diseases. Thus, data generated from the laboratory have to be reliable for which strict quality assurance is maintained. Objective. To assess the coverage and quality of selected clinical chemistry tests among medical laboratories of health facilities in, Jimma Zone, South West Ethiopia. Methods. A cross-sectional study was conducted at Jimma Zone on health facilities from August 15 to September 15, 2014. Eighty-six health facility laboratories were included in the study. We classified laboratories into laboratories with clinical chemistry service and those without clinical chemistry service clusters and those with clinical chemistry laboratory were again clustered according to their level. Data were collected by direct observation, interview, and proficiency testing (PT). The collected data were analyzed and compared with CLIA PT goal for TEa by considering total allowable error ± 20%, ±10%, ±15%, and ±20 for each analyte, ALT, glucose, creatinine, and total bilirubin, respectively. Result. From total of 86 health facilities with laboratories, 23.3% (n=20) had clinical chemistry service, of which 77.2% results were reported outside of the allowable error limit. Conclusion. According to this study the availability of clinical chemistry test service was very minimal and facilities giving the service do not fulfill the minimum standard for quality; thus clients were either getting wrong clinical decision or misdiagnosed. Therefore, the external and internal quality assessment programs should be reviewed very well. Those laboratories whose report was outside of the allowable error should have to report results with the appropriate reference range so that physicians consider that. Establishment of local clinical chemistry reference range can also minimize the problem.

scholarly journals ASSESSMENT OF LABORATORY COMMODITY SUPPLY CHAIN SYSTEM AT PUBLIC HEALTH FACILITIES OF JIMMA ZONE AND JIMMA TOWN ADMINISTRATION, SOUTH WEST ETHIOPIA

2020 ◽  
Vol 7 (10) ◽  
pp. 471-490
Author(s):  
Efrem G/Mariam ◽  
Waqtola Cheneke ◽  
Awol Jemal ◽  
Henok Assefa
Keyword(s):  
Public Health ◽  
Supply Chain ◽  
Health Facilities ◽  
Health Centers ◽  
Supply Chain System ◽  
Chain System ◽  
South West ◽  
Jimma Zone ◽  
The Mean ◽  
South West Ethiopia

Background: Laboratory commodity management (LCM) is a formidable challenge because of various reasons. Poor LCM could produce wrong laboratory result. However, the status of laboratory commodity supply chain system in Jimma zone is not clearly known. Thus, we aimed to assess the overall supply chain system of laboratory commodity in selected public health facilities of Jimma zone, south west Ethiopia. Methods: A facility based cross-sectional study within 3 different strata of health facilities: hospitals, A-level health centers, and B-level health centers were conducted. About 40 basic laboratory commodities as well as all pharmacy and laboratory professionals were included for the assessment. Descriptive statistics and analysis of variance with 95% confidence interval using statistical package for social sciences (SPSS) was performed. Results: A total of 34 facilities having totally 146 professionals were included. Among these 146 professionals only 2 pharmacy professionals took LCM training. In 16(47.1%), 12(35.3%) and 1(2.9%) facilities only 1 pharmacy, 1 laboratory and 0 pharmacy professionals, respectively were available. About 40% of facilities were found to be stocked-out (SO) on the day of visit and the mean day of SO was 51 days. The mean month-of-stock (MOS) on-hand was 5.51. Health centers were more SO than hospitals. Around 31(91.2%), 30(88.2%), 29(85.3%), and 1(2.9%) facilities responded using report and requisition form, internal facility report and requisition form, bin card, and stock card, respectively, however, practically 15(44.1%) had no report on the tools. About 33(97.1%) facilities never received all ordered quantities from their main source, pharmaceuticals fund and supply agency, and 23(67.6%) received products near to their expiry date. Six (17.6%) facilities were resupplied within 2-4 weeks lead time. Sixteen (47.1%) facilities were supervised within last month, 3(8.8%) have never been supervised and in 23(67.6%) the supervision did not include laboratory commodities. About 9(26.5%) facilities were not doing demand forecast. Thirty-three (97.06%) facilities didn`t have separate budget for laboratory commodities.                                       Conclusion: Stocks availability in Jimma zone was found very low. However, MOS on hand showed a better result, though it may not be an indication of good practice. Facilities’ storage practice was less than the minimum value.

scholarly journals Dietary diversity predicts dietary quality regardless of season in 6–12-month-old infants in south-west Ethiopia

2016 ◽  
Vol 19 (14) ◽  
pp. 2485-2494 ◽  
Author(s):  
Mekitie Wondafrash ◽  
Lieven Huybregts ◽  
Carl Lachat ◽  
Kimberley P Bouckaert ◽  
Patrick Kolsteren
Keyword(s):  
Dietary Diversity ◽  
Characteristic Curve ◽  
Dietary Quality ◽  
Research Centre ◽  
Food Groups ◽  
Linear Regression Models ◽  
South West ◽  
South West Ethiopia ◽  
Breast Fed

AbstractObjectiveSimple, cost-effective and convenient instruments like food group-based scores are proposed to assess micronutrient adequacy of children in developing countries. We assessed the predictive ability and seasonal stability of a dietary diversity score (DDS) to indicate dietary quality of infants.DesignA 24 h dietary recall assessment was carried out on a sample of 320 and 312 breast-fed infants aged 6–12 months during harvest (HS) and pre-harvest (PHS) seasons, respectively, in Ethiopia. DDS was calculated based on seven food groups, while mean micronutrient density adequacy (MMDA) was calculated for eight micronutrients. Multiple linear regression models were used to assess the relationship between DDS and MMDA, and differences in nutrient intake between the two seasons. A receiver-operating characteristic curve analysis was performed to derive DDS cut-offs that maximized sensitivity and specificity of assessing dietary quality.SettingThe study was conducted in the catchment of the Gilgel Gibe Field Research Centre of Jimma University, south-west Ethiopia.ResultsThe mean (sd) DDS for HS and PHS was 2·1 (0·94) and 2·3 (1·1), respectively. The DDS was associated with MMDA (β=0·045, P<0·0001 in HS; β=0·044, P<0001 in PHS). A DDS of ≤2 food groups best predicted ‘low’ MMDA (<50 %) with 84 % and 92 % sensitivity, 36 % and 43 % specificity, and 47 % and 51 % correct classification for the HS and PHS, respectively.ConclusionsDDS is predictive of dietary quality of breast-fed infants. The study supports the use of DDS to indicate inadequate intakes of micronutrients by breast-fed infants in different seasons.

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