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The upper two and lower two quartiles were combined (28 being the operational cut off value for the upper bound) and were labeled as stressed and not stressed respectively.
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This study aimed at identifying a reliable anthropometric measurement for screening low birth weight and determining an operational cut-off point in the Uganda setting.
This operational cut-off was taken as the value with the highest average value for sensitivity plus specificity i.e. the lowest total misclassification error rate.
The operational cut-off determined by our study for the different measures are comparable to cut-offs obtained in similar studies in some settings.
The aim of this study was to identify the most reliable anthropometric measurements for screening low birth weight babies in the community and to determine the operational cut-off point for this measure in this setting.
Based on our conception of multi-morbidity, we propose an operational cut-off score at >10, corresponding to several diseases with minimal impact on daily living or at least two with major impact.
Sensitivity and specificity were calculated for a range of measures to obtain operational cut-off points; and Likelihood Ratios and Diagnostic Odds Ratio were determined for each cut-off point.
For each anthropometric measure, sensitivity and specificity for the whole range of values were calculated and operational cut-off points determined by taking the value with the highest average of sensitivity and specificity.
With regard to the accuracy of results, Swets [ 29] suggested operational cut-off points: the test can be non-informative/test equal to chance (0.5AUC < 0.7); moderately accurate (0.7 > AUC ≤ 0.9); highly accurate (0.9 > AUC < 1.0); and perfect discriminatory tests (AUC = 1.0).
Sensitivity and specificity were calculated for a range of measures to obtain operational cut-offs that could be used to identify small babies in the community.
If, however, foreign subsidiaries are cut off from financing and operational support, they will be closed.
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