Ali Jannati

Cost and effectiveness analysis of Kangaroo mother care and conventional care method in low birth weight neonates in Tabriz 2010-2011

Objective: This study aimed to compare the cost and effectiveness of Kangaroo mother care (KMC) and conventional methods of care in low birth weight (LBW) neonates. Materials and Methods: A retrospective economic evaluation conducted in Al-Zahra Teaching Maternity Hospital of Tabriz, Iran by participating 45 LBW and preterm neonate in each therapeutic groups (90 neonates). Convenience sampling used to select participants from KMC and conventional care method (CCM) (incubator) groups in 2010-2011. Baseline characteristics, therapeutic interventions, resources utilization data and clinical events during the initial hospitalization and at 2-month follow-up were collected according a detailed case report forms. Data are described as mean (standard deviation) and no (percentage) and were compared with Students t-test, χ2 and Fisher exact test between groups. P ≤ 0.05 were considered to be statistically significant. Data were analyzed using the SPSS-16 statistical package. Result: The mean birth weight (BW) of the patients in KMC group was 1240.89 (5.98) g and in CCM was 1133.78 (139.06) g, hence differences in BW was statistically significant ( P < 0.001). Greatest cause of problem in groups was icter and after that preterm birth and House Dust Mite (HDM) with icter were the most frequent problem between neonates. In 2 months follow-up period, 3.7% of infants cared with KMC and conventional methods died respectively ( P = 0.078). Daily weight gain was 12.28 g in KMC group and 9.65 g in conventional group ( P = 0.011). The mean cost of hospitalization per individual infant for KMC was 3539.47

Perception and expectation of Iran neonatal transport expert regard to developing neonatal transport system in Iran: A qualitative research

, whereas for Conventional group was 2907.27

A Successful implementation of an idea to a nationally approved plan: Analyzing Iran's National Health Roadmap using the Kingdon model of policymaking

. Conclusion: KMC promoted weight gain in LBW infants better than conventional care. Although KMCs unit cost is a little higher than Conventional method, but comparing its positive outcomes on breastfeedings and mortality it can be considered as cost effective method.

Modelling the prevalence of diabetes mellitus risk factors based on artificial neural network and multiple regression

Introduction: This study was aimed to reach experts expectations of neonatal transport system for developing neonatal transport system in Iran. Materials and Methods: This is a qualitative study conducted by using focus group discussion (FGD) to present experts perspectives and expectancy about neonatal transport system. Participants was selected from all experts and specialist about neonatal transport in Iran countryside. Finally 48 experts, participate in this study. To data collection 4 FGD were conducted, data were analyzed by content analyses. All subthemes were categorized in main themes according to conceptual relationship as an expert panels opinions. In order to comply with the ethical issues involved in the study was voluntary, also permission for the recording session were taken and confidentiality was also ensured. Result: According to FGD results, 11 themes and 90 subthemes were founded related to neonatal transport system, the main identified themes included: Aims, necessity and models of neonatal transport system, organizing the transport system, management and quality of instruments in the transport system, Neonatal transport system staff, Human resource management and issue related to human resources, conditions and requirements of neonatal transport system, facilitating factors in neonatal transport system, information management and communication system and weakness of neonatal transport system. Conclusion: Neonatal transport systems in different countries must adapted according to situation and component of each country have different strength and weakness and in implementing a system must attend to geographical conditions, financial ability and access to professionals, health system structure, facilities related to neonatal health care, antenatal services in regain, health care related, health care program about neonates and pregnant women and epidemiological status and mortality and morbidity in deferent locals and regains in countryside.

Tabriz Clinical Governance Research Project (TCGRP): Study Protocol

Introduction: Hospital beds, human resources, and medical equipment are the costliest elements in the health system and play an essential role at the time of treatment. In this paper, different phases of the NEDA 2026 project and its methodological approach were presented and its formulation process was analysed using the Kingdon model of policymaking. Methods: Iran Health Roadmap (NEDA 2026) project started in March 2016 and ended in March 2017. The main components of this project were hospital beds, clinical human resources, specialist personnel, capital medical equipment, laboratory facilities, emergency services, and service delivery model. Kingdon model of policymaking was used to evaluate NEDA 2026 development and implementation. In this study, all activities to accomplish each step in the Kingdon model was described. Results: The followings were done to accomplish the goals of each step: collecting experts’ viewpoint (problem identification and definition), systematic review of the literature, analysis of previous experiences, stakeholder analysis, economic analysis, and feasibility study (solution appropriateness analysis), three-round Delphi survey (policy survey and scrutinization), and intersectoral and interasectoral agreement (policy legislation). Conclusion: In the provision of an efficient health service, various components affect each other and the desired outcome, so they need to be considered as parts of an integrated system in developing a roadmap for the health system. Thus, this study demonstrated the cooperation process at different levels of Iran’s health system to formulate a roadmap to provide the necessary resources for the health sector for the next 10 years and to ensure its feasibility using the Kingdon policy framework.

Evaluation of the Experiences of Health Service Management Students at the Faculty of Management and Information in Tabriz, Iran Regarding Field Internship: A Qualitative Research

Background Type 2 diabetes mellitus (T2DM) is a metabolic disease with complex causes, manifestations, complications and management. Understanding the wide range of risk factors for T2DM can facilitate diagnosis, proper classification and cost-effective management of the disease. Aims To compare the power of an artificial neural network (ANN) and logistic regression in identifying T2DM risk factors. Methods This descriptive and analytical study was conducted in 2013. The study samples were all residents aged 15-64 years of rural and urban areas in East Azerbaijan, Islamic Republic of Iran, who consented to participate (n = 990). The latest data available were collected from the Noncommunicable Disease Surveillance System of East Azerbaijan Province (2007). Data were analysed using SPSS version 19. Results Based on multiple logistic regression, age, family history of T2DM and residence were the most important risk factors for T2DM. Based on ANN, age, body mass index and current smoking were most important. To test for generalization, ANN and logistic regression were evaluated using the area under the receiver operating characteristic curve (AUC). The AUC was 0.726 (SE = 0.025) and 0.717 (SE = 0.026) for logistic regression and ANN, respectively (P < 0.001). Conclusions The logistic regression model is better than ANN and it is clinically more comprehensible.