M Yazdi, H Mahjub,
Volume 7, Issue 1 (20 2011)
Abstract
Background & Objectives: Maternal health status is one the important health index since it could be a hallmark of
performance of health care service particularly in rural area. The aim of this study is ranking and identifying
homogeneous provinces based on maternal health indices in Iran.
Methods: Based on the indices in the vital horoscope which were reported by Iran Ministry of Health in 2006,
fifteen indices related to maternal health have been selected. Using factor analysis, a factor that can represent
rural maternal health in provinces was chosen and provinces ranked according to it. A hierarchical cluster analysis
employed for identifying homogenous province based on a distance matrix obtained from the same selected
indices in factor analysis.
Results: Factor analysis demonstrated that 89% of data variation included in this model. Based on an
appropriate factor as index of maternal health, ranking was run in all provinces in Iran. According to this model,
the maternal health status was in good condition in the rural areas of Gilan, Mazandaran and Tehran provinces,
respectively. While maternal health were in inappropriate condition in rural areas of Khuzestan, Kohkiluyeh and
Hormozgan provinces. The worst rural area was the province of Sistan and Baluchestan.
Conclusion: It could be concluded that employing multivariate analysis would be an effective tool for ranking
and classifying homogeneous population (provinces) in terms of maternal health indices. Therefore health policy
makers should consider the practical method of this analysis for any decision making.
Ar Soltanian, M Mirfakhraei , H Mahjub, A Moghimbeigi, Sh Akhondzadeh,
Volume 10, Issue 2 (Vol 10, No 2 2014)
Abstract
Background & Objectives: The standard methods for the comparison of two drugs in a randomized controlled clinical trial in the presence of non-compliance are intention-to-treat or per-protocol approaches. Both approaches have problems with estimation of drug effects, and researchers are not still certain to adopt which one. In this study, the bias of intention-to-treat and per-protocol approaches was calculated using Monte-Carlo simulation. We tried to choose the best approach (based on the AIC index) for comparing Risperidone plus Celecoxib and Risperidone plus Placebo.
Methods: This secondary study was conducted to compare the effect of Risperidone plus Celecoxib and Risperidone plus Placebo among 60 schizophrenic patients. To choose between the intention-to-treat and per-protocol approaches, Monte-Carlo simulation with Ackaike (AIC) and Baysian (BIC) indices was used.
Results: The results of Monte-Carlo simulation showed that when the sample size was small (n=30 or n=60) under fixed conditions of non-compliance equal to 5% and 10%, intention-to-treat had a better goodness of fit than per-protocol based on AIC and BIC. However, increasing the sample size in active and placebo groups (e.g., n=100) showed that per-protocol had a better goodness of fit than intention-to-treat.
Conclusion: When the sample size is large, the per-protocol approach may have a better goodness of fit than intention-to-treat to address the effects of non-compliance in randomized clinical trials.
Z Cheraghi, H Mahjub, A Ghalehiha, S Bashirian, H Tayybeenia, A Rahmani, B Naghsh Tabrizi , N Shir Mohammadi , A Farhadi, M Asgarinia, M Karami,
Volume 14, Issue 4 (Vol.14, No.4, 2019)
Abstract
Background and Objectives: Prioritizing the list of required research, taking into account the real needs and problems of the health sector, provides a ground for justice; strengthens the link between research, action, and policy; and addresses the needs of vulnerable groups. The present study was done to formulate research priorities of Hamadan University of Medical Sciences using the opinions of experts in the field of health as a positive step towards proper allocation of research resources of the University to solve the problem.
Methods: In this study, the research priorities of Hamadan University of Medical Sciences in 13 domains during 2017 were ranked using 10 standard criteria according to the Essential National Health Research (ENHR) approach.
Results: Forty inter and intra beneficiaries were participated in this study. During the sessions, using group training techniques (brain storming), the topics were discussed, resulting in identifying 122 topics in 13 domains. In each of these domains, top 10 topics with the highest ranks were determined as the research priorities of Hamadan University of Medical Sciences.
Conclusion: Determination of research priorities at a provincial level based on the ENHR approach was conducted in Hamadan University of Medical Sciences with the cooperation of all health stakeholders for the first time. The result of this study will play an important role in optimum use of resources of the research and technology domain of Hamadan University of Medical Sciences by directing research projects according to the identified priorities.
