https://j.ideasspread.org/index.php/mhs/issue/feed Modern Health Science 2019-11-18T13:45:42+08:00 Lacy Brown mhs@ideasspread.org Open Journal Systems <p>Modern Health Science (MHS) is an international, double-blind peer-reviewed, open-access journal, published by IDEAS SPREAD INC. It publishes original research, applied, and educational articles in all areas of health science. It provides an academic platform for professionals and researchers to contribute innovative work in the field.<br>Authors are encouraged to submit complete, unpublished, original works that are not under review in any other journals.<br>The journal is published in both print and online versions. The online version is free access and download.</p> https://j.ideasspread.org/index.php/mhs/article/view/331 Index of Independence 2019-11-18T13:45:42+08:00 Ilija Barukčić Barukcic@t-online.de <p class="text"><strong><span lang="EN-US">Objective.</span></strong><span lang="EN-US"> Under certain circumstances, the results of multiple investigations – particularly, rigorously-designed trials, can be summarized by systematic reviews and meta-analyses. However, the results of properly conducted meta-analyses can but need not be stronger than single investigations, if (publication) bias is not considered to a necessary extent.</span></p> <p class="text"><strong><span lang="EN-US">Methods.</span></strong><span lang="EN-US"> In assessing the significance of publication bias due to study design simple to handle statistical measures for quantifying publication bias are developed and discussed which can be used as a characteristic of a meta-analysis. In addition, these measures may permit comparisons of publication biases between different meta-analyses.</span></p> <p class="text"><strong><span lang="EN-US">Results.</span></strong><span lang="EN-US"> Various properties and the performance of the new measures of publication bias are studied and illustrated using simulations and clearly described thought experiments. As a result, individual studies can be reviewed with a higher degree of certainty.</span></p> <p class="text"><strong><span lang="EN-US">Conclusions.</span></strong><span lang="EN-US"> Publication bias due to study design is a serious problem in scientific research, which can affect the validity and generalization of conclusions. The index of unfairness and the index of independence are of use to quantify publication bias and to improve the quality of systematic reviews and meta-analyses.</span></p> 2019-10-07T00:00:00+08:00 ##submission.copyrightStatement## https://j.ideasspread.org/index.php/mhs/article/view/351 Relationship Between Specificity and Precision in Writing the Main Diagnosis and Accuracy of Main Diagnosis Codes with Financing Claims in Cases of DM in Dr Radjiman Wediodiningrat Hospital, Lawang 2019-11-18T13:45:41+08:00 Endang Sri Dewi Hastuti Suryandari wiwik.esd@gmail.com <p>Specificity and precision in writing the main diagnosis will give the accuracy of diagnosis code, and proper code will give an impact on the appropriate of the cost using INA-CBGs. Research objectives was to analyze the specificity and precision in writing the main diagnosis and the accuracy of main diagnosis code based on ICD-10, also the claims of financing in the case of Diabetes Mellitus (DM) in RSJ Dr. Radjiman Wediodiningrat Lawang, as well as analyzed their relationship. This type of research was a cross sectional correlasional. Independent variables were the specificity and precision in writing the main diagnosis and the accuracy of main diagnosis code, and the dependent variable was the claim of financing. The number of samples analyzed were 50 inpatient medical record document (MRD) of DM cases which hospitalization from January to September 2017, selected by simple random sampling. The results showed the unspecific and unprecise in writing the main diagnosis of DM disease had a risk 1.6 times greater impacting the inaccuracy the main diagnosis code of DM disease (95% CI: 1.05 - 2.30) and 1.8 times greater resulting in the claims for financing treatment not accordance (95% CI: 1.03 - 3.12). An internal verification team is needed for submission of financing claims, consisting of elements from the medical committee, medical recorders and other related elements, as well as conducting periodic monitoring and evaluation of how to write the main diagnoses and their coding.</p> 2019-10-09T00:00:00+08:00 ##submission.copyrightStatement##