It can be challenging to create a safe airway in maxilla facial fracture and some skull surgeries. In this case study, the patient experienced jaw fractures that disturbed the dental occlusion and associated fracture of the base of the skull. Neither nasal nor oral intubation was possible based on the side effects of tracheotomy; therefore, submental intubation was applied successfully. The procedure and results are presented in the text.
Dental Occlusion ; Humans ; Intubation* ; Jaw Fractures ; Maxilla ; Skull ; Tracheotomy

OBJECTIVES: The aim of this study was to measure the health-related quality of life (HRQoL) and to evaluate the factors affecting HRQoL in individuals with health insurance in Tehran, Iran. METHODS: A cross-sectional analytical study was conducted using the 3-level EuroQol 5-dimensions (EQ-5D) questionnaire. In order to estimate the determinants of HRQoL, information about participants’ demographic, socioeconomic, and health status was gathered. The cluster sampling technique was used to collect data from May to June, 2016. The chi-square test and weighted least squares method were employed for data analysis. Data were analyzed using Stata version 11.0. RESULTS: A total of 600 Iranians with insurance completed the study, of whom 327 (54.5%) were male and 273 (45.5%) were female. The mean age of the participants was 41.48 years (standard deviation [SD], 14.60 years). Meanwhile, the mean duration of education was 12.36 years (SD, 4.68 years). The mean EQ-5D score was 0.74 (SD, 0.16). The most common health problems in the participants were anxiety/depression (42.3%), followed by pain/discomfort (39.2%). Sex, age, years of schooling, income, chronic disease, and body mass index had a significant effect on HRQoL (p<0.05). Healthy insured individuals, on average, had a HRQoL score 0.119 higher than that of people with a chronic disease, all else being equal (p<0.001). CONCLUSIONS: Among all determinants of HRQoL, chronic disease was found to be the highest priority for interventions to improve the health status of Iranians with insurance. This finding can help policymakers and health insurance organizations improve their planning to promote the HRQoL of individuals with insurance and society as a whole in Iran.
Body Mass Index ; Chronic Disease ; Education ; Female ; Humans ; Insurance ; Insurance, Health* ; Iran* ; Least-Squares Analysis ; Male ; Methods ; Quality of Life* ; Statistics as Topic

OBJECTIVES: Increasing interest has emerged in the use of subjective well-being as a development indicator and for the evaluation of public policies. The aim of this study was to assess life and health satisfaction and their determinants in the adult population of Iran. METHODS: We conducted a survey of a sample of 3,150 adults at least 18 years of age in Tehran, the capital of Iran. The subjects were selected using a stratified random sampling method, and they were interviewed face-to-face at their usual residence by trained interviewers. Life satisfaction was used as a measure of subjective well-being. We used ordinary least square regression models to assess the associations of life and health satisfaction with socio-demographic variables. RESULTS: On a 0-10 scale, the mean (standard deviation) scores for life and health satisfaction were 6.93 (2.54) and 7.18 (1.97), respectively. The average score for life satisfaction in females was 0.52 points higher than in males. A U-shaped relationship was found between age and life satisfaction, with respondents 35 to 44 years of age having the lowest average level of life satisfaction. Satisfaction with life and health among divorced respondents was significantly lower than among never-married and married participants. The scores for life satisfaction in respondents who rated their health status as poor were 3.83 points lower than in those who rated their health status as excellent. CONCLUSIONS: The majority of the population of Tehran was satisfied with their life and health. Self-rated health status had the greatest impact on life satisfaction.
Adult* ; Divorce ; Female ; Humans ; Iran* ; Male ; Methods ; Personal Satisfaction ; Public Policy ; Surveys and Questionnaires

OBJECTIVES: The current study presents a new conceptual framework for physician-induced demand that comprises several influential components and their interactions. METHODS: This framework was developed on the basis of the conceptual model proposed by Labelle. To identify the components that influenced induced demand and their interactions, a scoping review was conducted (from January 1980 to January 2017). Additionally, an expert panel was formed to formulate and expand the framework. RESULTS: The developed framework comprises 2 main sets of components. First, the supply side includes 9 components: physicians’ incentive for pecuniary profit or meeting their target income, physicians’ current income, the physician/population ratio, service price (tariff), payment method, consultation time, type of employment of physicians, observable characteristics of the physician, and type and size of the hospital. Second, the demand side includes 3 components: patients’ observable characteristics, patients’ non-clinical characteristics, and insurance coverage. CONCLUSIONS: A conceptual framework that can clearly describe interactions between the components that influence induced demand is a critical step in providing a scientific basis for understanding physicians’ behavior, particularly in the field of health economics.
Employment ; Insurance Coverage ; Methods ; Motivation

OBJECTIVES: The current study presents a new conceptual framework for physician-induced demand that comprises several influential components and their interactions. METHODS: This framework was developed on the basis of the conceptual model proposed by Labelle. To identify the components that influenced induced demand and their interactions, a scoping review was conducted (from January 1980 to January 2017). Additionally, an expert panel was formed to formulate and expand the framework. RESULTS: The developed framework comprises 2 main sets of components. First, the supply side includes 9 components: physicians’ incentive for pecuniary profit or meeting their target income, physicians’ current income, the physician/population ratio, service price (tariff), payment method, consultation time, type of employment of physicians, observable characteristics of the physician, and type and size of the hospital. Second, the demand side includes 3 components: patients’ observable characteristics, patients’ non-clinical characteristics, and insurance coverage. CONCLUSIONS A conceptual framework that can clearly describe interactions between the components that influence induced demand is a critical step in providing a scientific basis for understanding physicians’ behavior, particularly in the field of health economics.

Background: This study aimed to measure the health-related quality of life (HRQOL) of patients with osteoporosis with and without fractures in Tehran, the capital city of Iran. Methods: We surveyed a sample of 478 patients with osteoporosis aged over 50 years. Participants with fractures included patients referred to hospitals due to osteoporotic fractures which were alive 6 months after the fracture. Participants without fractures were randomly selected from patients with a definite diagnosis of osteoporosis admitted to 3 outpatient clinics in Tehran. Data were collected using the EuroQol 5-dimensional 5-level questionnaire. Statistical differences between patients with and without fracture were tested with Pearson’s χ2 test, Student’s t-test, and the Mann–Whitney U-test. The association between HRQOL and other variables was evaluated using a multiple linear regression model. Results: The patients’ mean age±standard deviation was 67.3±11.9 years, and 74.1% were women. One hundred and seventeen (23%) patients had hip fractures, 56 (11%) had vertebral fractures, 127 (25%) had forearm fractures, and 178 (40%) had no fractures. The median (interquartile range) values of HRQOL scores of those with hip, vertebral, and forearm fractures and those with no history of fracture were 0.53 (0.22), 0.60 (0.28), 0.64 (0.26), and 0.64 (0.27), respectively. The multiple regression model revealed a significant relationship between the HRQOL scores and sex, marital status, employment status, presence of any chronic illness in addition to osteoporosis, and type of fracture. Conclusions Osteoporosis and its related fractures can reduce the HRQOL.