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Maryam Amini, Leila Nazarimanesh, Mahmoud Mahmoudi Majdabadi Farahani,
Volume 12, Issue 6 (Feb & Mar 2019)
Volume 12, Issue 6 (Feb & Mar 2019)
Abstract
Background and Aim: Patient participation is a widespread concept and is considered as an important issue for improving the quality of patient care and patient safety, which has been considered by health managers. Therefore, this study aimed to investigate the effect of nurses' characteristics on their willingness to patient participation in patient safety in hospitals affiliated to Tehran University of Medical Sciences using PaCT-HCW questionnaire.
Materials & Methods: This was a descriptive-analytic study. Cross-sectional information was gathered on 220 nurses working in teaching and non-teaching hospitals affiliated to Tehran University of Medical Sciences, year of 2017-2018. For sampling, nurses were randomly selected from eligible wards. To collect information validated Malfait and et al questionnaire by named PaCT-HCW was used. The data were analyzed with SPSS 22 software using descriptive statistics and regression test at P-value less than 0.05.
Results: The nurses' two characteristics including the length of work experience in the hospital (P=0.043, B=0.323), and the length of work experience in the ward (P=0.006, B=0.604) The direct effect and type of hospital (P=0.001, B =-8.182) had a reverse effect on nurses' willingness to patient participation in patient safety
Conclusion: Health managers can consider The length of nurses' experience, as well as the type of hospital and the type of specialized ward, by creating the necessary facilities and developing educational programs for patient participation in patient safety.
Materials & Methods: This was a descriptive-analytic study. Cross-sectional information was gathered on 220 nurses working in teaching and non-teaching hospitals affiliated to Tehran University of Medical Sciences, year of 2017-2018. For sampling, nurses were randomly selected from eligible wards. To collect information validated Malfait and et al questionnaire by named PaCT-HCW was used. The data were analyzed with SPSS 22 software using descriptive statistics and regression test at P-value less than 0.05.
Results: The nurses' two characteristics including the length of work experience in the hospital (P=0.043, B=0.323), and the length of work experience in the ward (P=0.006, B=0.604) The direct effect and type of hospital (P=0.001, B =-8.182) had a reverse effect on nurses' willingness to patient participation in patient safety
Conclusion: Health managers can consider The length of nurses' experience, as well as the type of hospital and the type of specialized ward, by creating the necessary facilities and developing educational programs for patient participation in patient safety.
Mr Kasra Dolatkhahi, Adel Azar, Tooraj Karimi, Mohammad Hadizadeh,
Volume 15, Issue 4 (oct & Nov 2021)
Volume 15, Issue 4 (oct & Nov 2021)
Abstract
Background and Aim: Cancer and in particular Breast cancer are among the diseases that have the highest mortality rate in Iran after heart disease. The accurate prognosis for Breast cancer is important, and the presence of various symptoms and features of this disease makes it difficult for doctors to diagnose. This study aimed to identify the factors affecting Breast cancer, modeling and ultimately diagnosing the risk of Breast cancer.
Materials and Methods: In the present study, first, by content analysis and library studies, the effective factors in Breast cancer were identified, then with the help of a team of experts consisting of physicians and subspecialists in Breast oncology and Breast surgery; With the help of the Delphi method, the factors were adjusted and 26 final factors that were numerically correct and string based on local and climatic conditions were approved. Then, according to the final factors and based on the medical records of 5208 patients in the Cancer Research Center of Shahid Beheshti University of medical sciences, to diagnose cancer, Decision Tree, Random Forest, and Support Vector Machine methods were used as machine learning methods.
Results: In the first step, by content analysis method, 29 effective factors in Breast cancer were identified. Then, taking into account the indigenous and climatic conditions and using the Delphi method and also using the opinions of 18 Experts during three years, 26 factors were finalized. In the final step, using the medical records of the patients and the results obtained from the three methods mentioned, random forest, had the highest accuracy of 94.75% and precision of 97.26% in diagnosing Breast cancer. It has been noted that, compared to other similar studies, indigenous databases have been exploited, the accuracy obtained has been very close to previous studies, and in many cases much better.
Conclusion: Using the random forest method and taking advantage of the factors affecting Breast cancer, the ability to diagnose cancer has been provided with greatest accuracy.
Materials and Methods: In the present study, first, by content analysis and library studies, the effective factors in Breast cancer were identified, then with the help of a team of experts consisting of physicians and subspecialists in Breast oncology and Breast surgery; With the help of the Delphi method, the factors were adjusted and 26 final factors that were numerically correct and string based on local and climatic conditions were approved. Then, according to the final factors and based on the medical records of 5208 patients in the Cancer Research Center of Shahid Beheshti University of medical sciences, to diagnose cancer, Decision Tree, Random Forest, and Support Vector Machine methods were used as machine learning methods.
Results: In the first step, by content analysis method, 29 effective factors in Breast cancer were identified. Then, taking into account the indigenous and climatic conditions and using the Delphi method and also using the opinions of 18 Experts during three years, 26 factors were finalized. In the final step, using the medical records of the patients and the results obtained from the three methods mentioned, random forest, had the highest accuracy of 94.75% and precision of 97.26% in diagnosing Breast cancer. It has been noted that, compared to other similar studies, indigenous databases have been exploited, the accuracy obtained has been very close to previous studies, and in many cases much better.
Conclusion: Using the random forest method and taking advantage of the factors affecting Breast cancer, the ability to diagnose cancer has been provided with greatest accuracy.
Moslem Soleymanpor, Mohamad Taghi Amini, Yazdan Shirmohammadi, Ali Shahnazari,
Volume 15, Issue 5 (Dec 2021 & Jan 2022)
Volume 15, Issue 5 (Dec 2021 & Jan 2022)
Abstract
Background and Aim: With the global expansion of Covid 19, the tourism industry has faced one of its biggest operational, commercial and financial crises, and most of the source-destination interactions have been suspended and have changed the view of the host community and their interactions with tourists. The purpose of this study is to provide a model for tourism development during the Covid 19 crisis and beyond.
Materials and Methods: This study was conducted using a combined (qualitative-quantitative) research approach. First, in a qualitative method with the data foundation approach, interviews with academic experts and managers and activists of the tourism industry in East and West Azerbaijan Provinces, and using purposeful and theoretical sampling, 18 people were selected to the point of information saturation. Semi-structured in-depth interviews were used to collect data. Data extracted from interviews were encoded by open, axial and selective coding. Then, to fit and test the obtained model in the second step (quantitative part), the method of structural equation modeling and confirmatory factor analysis were used.
Results: The final model consists of a total of 66 concepts extracted from the interviews, in the form of 14 categories and contextual categories, causal conditions, interventional conditions, strategies and finally, consequences and results of tourism entrepreneurship in pandemic crises and all of them affect this model. Based on the results of combined reliability, extracted variance, model determination coefficient and goodness-of-fit index, the drawn model in the field of path analysis has good experimental-theoretical assumptions and has a very good fit. Based on the obtained path coefficients, it can be concluded that the intervention conditions had the most and the causal conditions had the least impact on the strategic model of the tourism industry in pandemic crises.
Conclusion: Results indicate that strategies such as virtual tourism development, crisis management in the tourism industry, the development of domestic tourism by emphasizing the observance of health protocols and focusing on the development of tourism infrastructure, leads to the realization of consequences such as the maintenance and prosperity of tourism businesses, strengthening the tourism industry and creating a new tourism market for the post-corona era.
Materials and Methods: This study was conducted using a combined (qualitative-quantitative) research approach. First, in a qualitative method with the data foundation approach, interviews with academic experts and managers and activists of the tourism industry in East and West Azerbaijan Provinces, and using purposeful and theoretical sampling, 18 people were selected to the point of information saturation. Semi-structured in-depth interviews were used to collect data. Data extracted from interviews were encoded by open, axial and selective coding. Then, to fit and test the obtained model in the second step (quantitative part), the method of structural equation modeling and confirmatory factor analysis were used.
Results: The final model consists of a total of 66 concepts extracted from the interviews, in the form of 14 categories and contextual categories, causal conditions, interventional conditions, strategies and finally, consequences and results of tourism entrepreneurship in pandemic crises and all of them affect this model. Based on the results of combined reliability, extracted variance, model determination coefficient and goodness-of-fit index, the drawn model in the field of path analysis has good experimental-theoretical assumptions and has a very good fit. Based on the obtained path coefficients, it can be concluded that the intervention conditions had the most and the causal conditions had the least impact on the strategic model of the tourism industry in pandemic crises.
Conclusion: Results indicate that strategies such as virtual tourism development, crisis management in the tourism industry, the development of domestic tourism by emphasizing the observance of health protocols and focusing on the development of tourism infrastructure, leads to the realization of consequences such as the maintenance and prosperity of tourism businesses, strengthening the tourism industry and creating a new tourism market for the post-corona era.
Synergism of Linezolid and Rifampin to Combat Multidrug-Resistant Environmental Enterococci Isolates
Mobina Noori, Leila Fozouni, Ania Ahani Azari,
Volume 16, Issue 3 (Aug 2022)
Volume 16, Issue 3 (Aug 2022)
Abstract
Background and Aim: Wastewater is one of the most dangerous and important sources of pathogens and their treatment does not always guarantee the elimination of pathogenic bacteria. Enterococci, as opportunistic pathogenic bacteria, fastidious and cause of nosocomial infections, have a wide environmental distribution and one of the routes of their transmission to humans is water and wastewater. The increasing rate of drug- resistance among bacteria indicates the need for investigation of novel antibacterial agents or their combination effects. The aim of this study was to investigate the effect of linezolid in combination with rifampin on the elimination of multidrug- resistant enterococci in two treatment plants in Golestan province.
Materials and Methods: Enterococcus species from eighty samples were isolated from treatment plants in two cities of the Golestan Province (North of Iran) including Gorgan and Bandar-e Torkaman during January-June 2021. The isolates were identified based on the most probable number (MPN), filtration, microbiological tests and finally by using specific gene detection by ddlE primer with polymerase chain reaction. Kirby Bauer performed an antibiotic resistance pattern according to CLSI- 2020 guidelines for six classes of antibiotics. The minimum inhibitory concentration of linezolid was determined individually and by synergist effect with rifampin by broth microdilution method.
Results: After phenotypic and molecular diagnosis (PCR) of raw and treated wastewater samples, in 32 (40%) wastewater samples, enterococci species were identified and confirmed. Tetracycline was the least effective so, about 100% of Enterococcus faecalis and Enterococcus faecium isolates were resistant to it. The prevalence of linezolid-resistant E. faecalis was 11%. A total of 20 enterococcal isolates (62.5%) had multiple resistance. The concentration of linezolid in combination with rifampin, which inhibited 90% growth of the isolates (MIC90) was 1μg /ml, four-fold lower than linezolid alone (MIC90=4 μg/ml). In addition, none of the enterococci isolates showed resistance to the linezolid/rifampin combination (P=0.001).
Conclusion: The results of this research confirmed the presence of enterococci resistant to vancomycin and other antibiotics in the wastewater treatment plant samples in Golestan province. The favorable combination effect of linezolid and rifampin on the inhibition of multi-drug resistant isolates implies their synergy.
Materials and Methods: Enterococcus species from eighty samples were isolated from treatment plants in two cities of the Golestan Province (North of Iran) including Gorgan and Bandar-e Torkaman during January-June 2021. The isolates were identified based on the most probable number (MPN), filtration, microbiological tests and finally by using specific gene detection by ddlE primer with polymerase chain reaction. Kirby Bauer performed an antibiotic resistance pattern according to CLSI- 2020 guidelines for six classes of antibiotics. The minimum inhibitory concentration of linezolid was determined individually and by synergist effect with rifampin by broth microdilution method.
Results: After phenotypic and molecular diagnosis (PCR) of raw and treated wastewater samples, in 32 (40%) wastewater samples, enterococci species were identified and confirmed. Tetracycline was the least effective so, about 100% of Enterococcus faecalis and Enterococcus faecium isolates were resistant to it. The prevalence of linezolid-resistant E. faecalis was 11%. A total of 20 enterococcal isolates (62.5%) had multiple resistance. The concentration of linezolid in combination with rifampin, which inhibited 90% growth of the isolates (MIC90) was 1μg /ml, four-fold lower than linezolid alone (MIC90=4 μg/ml). In addition, none of the enterococci isolates showed resistance to the linezolid/rifampin combination (P=0.001).
Conclusion: The results of this research confirmed the presence of enterococci resistant to vancomycin and other antibiotics in the wastewater treatment plant samples in Golestan province. The favorable combination effect of linezolid and rifampin on the inhibition of multi-drug resistant isolates implies their synergy.
Saeed Nazari, Simin Taj Sharififar, Milad Ahmadi Marzaleh, Sanaz Zargar Balaye Jame, Somayeh Azarmi, Yousuf Akbari Shahrestanaki,
Volume 17, Issue 1 (3-2023)
Volume 17, Issue 1 (3-2023)
Abstract
Background and Aim: The field of pre-hospital rapid response teams is facing major challenges in the field of chemical, biological, radiation and nuclear accidents. Considering that the country of Iran is exposed to the occurrence of these incidents, the possibility of the danger of these incidents and threats cannot be ignored. This study was conducted with the aim of determining effective factors in the formation of pre-hospital rapid response teams in the field of health in response to CBRN accidents.
Materials and Methods: the current study is qualitative research with a content analysis approach; which was conducted using semi-structured in-depth interviews with 18 specialists and experts through purposive and snowball sampling. Sampling was done until data saturation. Thematic analysis method was used to analyze the data. The study aimed to extract effective factors in the formation of pre-hospital rapid response teams in the field of health in response to chemical, biological, radiation and nuclear accidents in Iran in 2022.
Results: The factors affecting the formation of the team were divided into 5 main classes and 5 subgroups including capacity building (Education, training), operational requirements (information and communication, command and control, emergency response operational plan, internal and external coordination), required resources (equipment, financing), team formation requirements (decontamination requirements, structural requirements) and team formation structure (general team composition, specialized team composition). The highest number of codes with 39% was related to the emergency response operational plan subcategory and the lowest number of codes with 8% was related to the equipment subcategory.
Conclusion: This study presented the design of the local pre-hospital rapid response team in the field of health in chemical, biological, radiation and nuclear accidents in Iran. This plan is for quick pre-hospital response to attend and intervene in the acute phase of these incidents. In order to increase the response capacity and capability of these teams, in addition to the general composition of the team, in order to improve the specialized preparation to deal with the health effects of these incidents, a specialized composition has also been provided. It is suggested; A separate team should be formed for each CBRN area based on the risk assessment of the offending areas of the country.
Materials and Methods: the current study is qualitative research with a content analysis approach; which was conducted using semi-structured in-depth interviews with 18 specialists and experts through purposive and snowball sampling. Sampling was done until data saturation. Thematic analysis method was used to analyze the data. The study aimed to extract effective factors in the formation of pre-hospital rapid response teams in the field of health in response to chemical, biological, radiation and nuclear accidents in Iran in 2022.
Results: The factors affecting the formation of the team were divided into 5 main classes and 5 subgroups including capacity building (Education, training), operational requirements (information and communication, command and control, emergency response operational plan, internal and external coordination), required resources (equipment, financing), team formation requirements (decontamination requirements, structural requirements) and team formation structure (general team composition, specialized team composition). The highest number of codes with 39% was related to the emergency response operational plan subcategory and the lowest number of codes with 8% was related to the equipment subcategory.
Conclusion: This study presented the design of the local pre-hospital rapid response team in the field of health in chemical, biological, radiation and nuclear accidents in Iran. This plan is for quick pre-hospital response to attend and intervene in the acute phase of these incidents. In order to increase the response capacity and capability of these teams, in addition to the general composition of the team, in order to improve the specialized preparation to deal with the health effects of these incidents, a specialized composition has also been provided. It is suggested; A separate team should be formed for each CBRN area based on the risk assessment of the offending areas of the country.
Maryam Aghajarinezhad, Yahya Salimi, Shahab Rezaeian, Ghobad Moradi, Mehdi Moradinazar, Fatemeh Khosravi Shadmani, Roya Safari_ Faramani, Mitra Darbandi, Farid Najafi,
Volume 17, Issue 2 (5-2023)
Volume 17, Issue 2 (5-2023)
Abstract
Background and Aim: All people living in a society are not equally at risk of COVID-19 infection and hospitalization. The current study is aimed to determine the factors related to COVID-19 infection and hospitalization among participants of Ravansar Non-Communicable Disease (RaNCD) cohort study.
Materials and Methods: The present study was conducted between 28th February, 2020 to 27th November, 2021. Data from the RaNCD study, morbidity and hospitalizations cases (extracted from the medical care monitoring system, SAMA system and the handwritten list of the health department) and positive serological results were used. For the case-cohort study, 626 confirmed and/or probable cases and 2107 randomly selected participants as sub-cohort were recruited. For the case-control study, 188 COVID-19 hospitalized patients from RaNCD (as cases) and 632 positive outpatients identified as controls. Data were analyzed using Cox and logistic regression, respectively.
Results: In case-cohort study, the hazard ratio of COVID-19 among people living in rural areas, in smokers and those in middle socioeconomic status was, 0.37 (0.24, 0.58), 1.50 (1.07, 2.11), as compared to the reference groups. While the hazard ratio of people aged 46-64 and those ≥65 years old, as compared to the reference group within the first year, was 3.47 (1.76, 6.86) and 6.45 (2.80, 14.85), the corresponding value after one year was 2.23 (1.13, 4.40) and 3.52 (1.53, 8.10), respectively. The hazard ratio among those with at least one comorbidity was 2.45 (1.53, 3.92) in the first year of study and after one year decreased to 1.82 (1.14, 2.92). In addition, moderate and vigorous physical activity decreased the hazard ratio. In case-control study the odds ratio of hospitalization increased by 0.03% (1.03(1.01, 1.05)) with an increase of one year in age and in people with at least three comorbidities was 2.43 (1.24, 4.73) times of those without comorbidity.
Conclusion: Overall, one year after starting the study the decrease in hazard ratio of COVID-19 was significant. Increase in age and having comorbidities are factors that increased the odds ratio of hospitalization. Such people can be considered for the next waves of COVID-19 prioritized for health care and booster vaccination.
Materials and Methods: The present study was conducted between 28th February, 2020 to 27th November, 2021. Data from the RaNCD study, morbidity and hospitalizations cases (extracted from the medical care monitoring system, SAMA system and the handwritten list of the health department) and positive serological results were used. For the case-cohort study, 626 confirmed and/or probable cases and 2107 randomly selected participants as sub-cohort were recruited. For the case-control study, 188 COVID-19 hospitalized patients from RaNCD (as cases) and 632 positive outpatients identified as controls. Data were analyzed using Cox and logistic regression, respectively.
Results: In case-cohort study, the hazard ratio of COVID-19 among people living in rural areas, in smokers and those in middle socioeconomic status was, 0.37 (0.24, 0.58), 1.50 (1.07, 2.11), as compared to the reference groups. While the hazard ratio of people aged 46-64 and those ≥65 years old, as compared to the reference group within the first year, was 3.47 (1.76, 6.86) and 6.45 (2.80, 14.85), the corresponding value after one year was 2.23 (1.13, 4.40) and 3.52 (1.53, 8.10), respectively. The hazard ratio among those with at least one comorbidity was 2.45 (1.53, 3.92) in the first year of study and after one year decreased to 1.82 (1.14, 2.92). In addition, moderate and vigorous physical activity decreased the hazard ratio. In case-control study the odds ratio of hospitalization increased by 0.03% (1.03(1.01, 1.05)) with an increase of one year in age and in people with at least three comorbidities was 2.43 (1.24, 4.73) times of those without comorbidity.
Conclusion: Overall, one year after starting the study the decrease in hazard ratio of COVID-19 was significant. Increase in age and having comorbidities are factors that increased the odds ratio of hospitalization. Such people can be considered for the next waves of COVID-19 prioritized for health care and booster vaccination.
Sedighe Hannani, Nazanin Sarraf Shahri, Asma Feizy Dehkharghani, Najme Samii, Azar Arab Khazaie, Azin Arab Khazaie, Kiarash Kamboozia,
Volume 17, Issue 3 (8-2023)
Volume 17, Issue 3 (8-2023)
Abstract
Background and Aim: Virtual networks have become one of the most influential tools in people’s lives, affecting various aspects of life. In medical sciences, with numerous advancements, the use of virtual networks is increasing. However, virtual networks can lead to wastage of students’ time and a reduction in study hours, which negatively impacts their knowledge and practical skills. Therefore, this study aimed to investigate the impact of using virtual networks on the knowledge and practical skills of surgical technologist students.
Materials and Methods: This descriptive-analytical study was conducted on 60 students in the 6th and 8th semester of operating room technology at Iran University of Medical Sciences in 2020-2021. At the end of the semester, the students underwent a comprehensive 40-question theoretical exam to assess their theoretical knowledge. To evaluate the level of virtual network usage, the students filled out a researcher-designed questionnaire. The practical skills of the students were measured based on their internship grades. Normality of the data was assessed using the Kolmogorov-Smirnov, and Pearson correlation coefficient test. Data analysis was performed using SPSS software.
Results: According to the findings of this study, there was a significant negative relationship between the level of virtual network usage and theoretical knowledge (P<0.05). This means that with an increase in virtual network usage, the level of students’ knowledge decreased. On the other hand, there was a significant positive relationship between theoretical knowledge and practical skills. This means that as the scores of the comprehensive exam increased, the scores of practical skills (internship) also increased. However, no significant relationship was found between the level of virtual network usage and students’ practical skills (P>0.21).
Conclusion: Based on the findings of this study, virtual networks lead to a weakening of students’ theoretical knowledge, as evidenced by the decrease in scores on the researcher-designed questionnaire (level of virtual network usage) and the comprehensive exam scores. Another result of the study was the significant positive relationship between theoretical knowledge and practical skills, indicating that as the comprehensive exam scores increased, the scores obtained in internships also increased.
Materials and Methods: This descriptive-analytical study was conducted on 60 students in the 6th and 8th semester of operating room technology at Iran University of Medical Sciences in 2020-2021. At the end of the semester, the students underwent a comprehensive 40-question theoretical exam to assess their theoretical knowledge. To evaluate the level of virtual network usage, the students filled out a researcher-designed questionnaire. The practical skills of the students were measured based on their internship grades. Normality of the data was assessed using the Kolmogorov-Smirnov, and Pearson correlation coefficient test. Data analysis was performed using SPSS software.
Results: According to the findings of this study, there was a significant negative relationship between the level of virtual network usage and theoretical knowledge (P<0.05). This means that with an increase in virtual network usage, the level of students’ knowledge decreased. On the other hand, there was a significant positive relationship between theoretical knowledge and practical skills. This means that as the scores of the comprehensive exam increased, the scores of practical skills (internship) also increased. However, no significant relationship was found between the level of virtual network usage and students’ practical skills (P>0.21).
Conclusion: Based on the findings of this study, virtual networks lead to a weakening of students’ theoretical knowledge, as evidenced by the decrease in scores on the researcher-designed questionnaire (level of virtual network usage) and the comprehensive exam scores. Another result of the study was the significant positive relationship between theoretical knowledge and practical skills, indicating that as the comprehensive exam scores increased, the scores obtained in internships also increased.
Fatemeh Setoodehzadeh, Azar Abolpur, Kosar Rezaei, Mehdi Mohammadi, Mohammad Khammarnia, Farnaz Keykhah, Mostafa Peyvand,
Volume 17, Issue 3 (8-2023)
Volume 17, Issue 3 (8-2023)
Abstract
Background and Aim: Children’s health is important as the future builders of society. Many children under 5 years of age around the world and in Iran have growth disorders. Due to the importance of growth disorder and its impact on the development, learning and future of the child, the present study was conducted with the aim of determining the frequency of deviations from the growth curves of children under 5 years of age and related factors in Zahedan city.
Materials and Methods: This case-control study was conducted in 2020 in Zahedan. The study population included all children under 5 years old, born in Zahedan between 2013 and 2020 that 784 of whom were selected by random sampling method. To determine the factors related to growth disorder multiple logistic regression analysis was used and to check the significance level, chi-square test and Pearson correlation were used. In this research, the data were analyzed with SPSS software.
Results: The results of this research showed that 54% of the boys and 51.20% of the girls had growth disorders. Between child growth disorder and maternal chronic disease (P<0.05), maternal body mass index (P<0.05), Maternal weight gain during pregnancy (P<0.05), distance between births (P<0.05) maternal urinary tract infection during pregnancy (P<0.05), mother’s age (P=0.006), mother’s education (P<0.05), birth weight (P<0.001), birth order (P<0.05), father’s occupation (P<0.05) and father’s education (P<0.05) a significant association was found. In the present study, the average birth weight in children with growth disorders was 2.75±0.58 and in healthy children was 2.95±0.57, and this difference was statistically significant (P=0.001). The average age of mothers of children with growth disorders was 29.19±6.07 and the average age of mothers of healthy children was 27.98±6.10, this difference was statistically significant (P=0.006).
Conclusion: Growth disorder is a multi-causal complication. Risk factors can be corrected and prevented by developing health education and increasing mothers’ awareness and knowledge. Also, the father’s job and literacy are effective in the child’s growth disorder, so Increasing community health literacy and encouraging fathers’ learning and literacy can partially prevent growth disorders in children.
Saeed Barzegari, Marjan Ghazi Saeedi, Roghieh Nazari, Seif Ali Mahdavi, Seyed Alireza Hasani,
Volume 17, Issue 5 (12-2023)
Volume 17, Issue 5 (12-2023)
Abstract
Background and Aim: The use of Mobile-Health is helpful in facilitating therapeutic communication between students and healthcare providers. Considering the benefits of the Mobile-Health, it is very important to have a tool that can check the motivation to use Mobile-Health. Therefore, this study was conducted with the aim of Psychometric properties of mHealth Technology Engagement Index.
Materials and Methods: The present study is psychometric research that was conducted in Tehran University of Medical Sciences in 1401. The participants of this study were 450 students of medical sciences in Tehran in undergraduate, master’s and doctorate levels who were included in the study through convenience sampling. The psychometric characteristics of the questionnaire were examined through face, content and construct validity respectively. Principal component analysis was performed using varimax rotation in order to check the factorial structure of the questionnaire. The reliability of the questionnaire was checked with the help of Cronbach’s alpha and intra- class correlation (ICC).
Results: The questionnaire’s content validity ratio (CVR) and content validity index (CVI) were 0.91 and 0.86, respectively. In the formal validity check, minor changes were made in the words of most of the items. Based on the results of face validity, some minor changes were made to the vocabulary of most items. The ICC coefficient was more than 0.80 in all dimensions. The results of exploratory and confirmatory factor analysis extracted five factors, autonomy, competence, relatedness, goal setting and goal attainment, and their cumulative variance was %71.48. The fit of the five-factor model was optimal based on standard goodness of fit indices such as CFI=0.978, GFI=0.930, RMSEA=0.040, CMIN/DF=1.307. Convergent and divergent validity was accepted for all factors. The reliability of the questionnaire was obtained using Cronbach’s alpha test of 0.71.
Conclusion: The five factor structure of the questionnaire of interaction with mobile health technology has good validity and reliability. Therefore, this questionnaire can be used to check the level of interaction of users of medical science students with mobile health technology.
Materials and Methods: The present study is psychometric research that was conducted in Tehran University of Medical Sciences in 1401. The participants of this study were 450 students of medical sciences in Tehran in undergraduate, master’s and doctorate levels who were included in the study through convenience sampling. The psychometric characteristics of the questionnaire were examined through face, content and construct validity respectively. Principal component analysis was performed using varimax rotation in order to check the factorial structure of the questionnaire. The reliability of the questionnaire was checked with the help of Cronbach’s alpha and intra- class correlation (ICC).
Results: The questionnaire’s content validity ratio (CVR) and content validity index (CVI) were 0.91 and 0.86, respectively. In the formal validity check, minor changes were made in the words of most of the items. Based on the results of face validity, some minor changes were made to the vocabulary of most items. The ICC coefficient was more than 0.80 in all dimensions. The results of exploratory and confirmatory factor analysis extracted five factors, autonomy, competence, relatedness, goal setting and goal attainment, and their cumulative variance was %71.48. The fit of the five-factor model was optimal based on standard goodness of fit indices such as CFI=0.978, GFI=0.930, RMSEA=0.040, CMIN/DF=1.307. Convergent and divergent validity was accepted for all factors. The reliability of the questionnaire was obtained using Cronbach’s alpha test of 0.71.
Conclusion: The five factor structure of the questionnaire of interaction with mobile health technology has good validity and reliability. Therefore, this questionnaire can be used to check the level of interaction of users of medical science students with mobile health technology.
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