Davoud Shamsi, Mohsen Mohammadian Saravi, Khalil Ali Mohamadzadeh, Azadeh Ashrafi,
Volume 28, Issue 2 (4-2025)
Abstract
Introduction: Good governance, as one of the fundamental concepts in healthcare system management, plays a key role in enhancing the efficiency, effectiveness, and equity of healthcare services. This concept, Emphasizing principles such as transparency, accountability, participation, and legality, has been considered as a framework for improving policymaking and management in Iran's healthcare system.
This study conducted in 2024 aimed to design and present a model of good governance in the healthcare system using a mixed approach of thematic analysis and Partial Least Squares (PLS) method.
Methods: The research method included both qualitative and quantitative components. The qualitative phase, involved managers, health policy experts, specialists from the Ministry of Health and Medical Education, and academic scholars. Sampling was done using purposive and snowball sampling methods, with 17 participants selected until theoretical saturation was reached. In the quantitative phase, the Partial Least Squares (PLS) method was used for model fitting. The statistical population for this section included all experts and managers in Iran's healthcare sector, with a minimum sample size of 384 determined based on Cochran's formula.
Results: The results of thematic analysis of the qualitative data and model fitting showed that the final good governance model in the healthcare system consists of seven main dimensions: effectiveness, efficiency, equity, transparency and accountability, participation, legality, and leadership. Each dimension comprised specific components, and the importance of each was confirmed in strengthening good governance.
Conclusions: This study presents a comprehensive good governance model for the healthcare system, offering a framework for improving policymaking, management, and performance in this sector. The proposed model can be used as a strategic decision-making tool and improving management structures.
Mojgan Mohammadifar, Fereshteh Bahmani, Alireza Abed, Gholamali Hamidi, Mohammad Hossein Aarabi, Sayyed Alireza Talaei,
Volume 28, Issue 4 (10-2025)
Abstract
Introduction: The analgesic effects of rosemary and peppermint essential oils have been shown in many studies. Low solubility of essential oils in water and low bioavailability limit their consumption, and nanoparticles can help solve these limitations. This study aimed to investigate the analgesic effect of a nanoemulsion containing rosemary and peppermint essential oils in a rat model of neuropathic pain.
Methods: Forty male rats were assigned to four groups: control (CON), neuropathic pain received normal saline (NPS), nanoemulsion (NPN), or gabapentin (NPG). Neuropathic pain was induced using the CCI model. Animals received a nanoemulsion containing 10% rosemary extract and peppermint essential oil via gavage for 21 days. Behavioral tests (Thermal Hyperalgesia, Thermal Allodynia, and Mechanical Allodynia) were done on days 1, 4, 7, 14, and 21 of the study. Biochemical tests were also done on the sciatic nerve of animals at the end of the study.
Results: The NPS rats had a significantly increased pain threshold compared to the control group (P < 0.001). Furthermore, the analgesic potential of nanoemulsion containing rosemary and peppermint essential oils was seen in allodynia and hyperalgesia tests. Biochemical analyses showed that CCI reduced total antioxidant capacity, superoxide dismutase, and glutathione peroxidase activity, and also increased MDA levels in the rats' sciatic nerve (P < 0.001 for all comparisons). Administering nanoemulsion containing rosemary and peppermint essential oils reversed all the above-mentioned changes in the biochemical parameters (P < 0.001).
Conclusions: Our findings revealed that treating rats with a nanoemulsion containing rosemary and peppermint essential oils can reduce neuropathic pain symptoms by balancing their sciatic nerve's oxidant and antioxidant systems.
