The relationship between Empathy and listening styles is complex: implications for doctors in training.

BACKGROUND: Effective communication is the key to a successful relationship between doctors and their patients. Empathy facilitates effective communication, but physicians vary in their ability to empathize with patients. Listening styles are a potential source of this difference. We aimed to assess empathy and listening styles among medical students and whether students with certain listening styles are more empathetic. METHODS: In this cross-sectional study, 97 medical students completed the Jefferson scale of Empathy (JSE) and the revised version of the Listening Styles Profile (LSP-R). The relationship between empathy and listening styles was assessed by comparing JSE scores across different listening styles using ANOVA in SPSS software. A p-value less than 0.05 was considered significant. RESULTS: Overall, the students showed a mean empathy score of 103 ± 14 on JSE. Empathy scores were lower among clinical students compared to preclinical students. Most of the medical students preferred the analytical listening style. The proportion of students who preferred the relational listening style was lower among clinical students compared to preclinical students. There was no significant relationship between any of the listening styles with empathy. CONCLUSION: Our results do not support an association between any particular listening style with medical students' empathic ability. We propose that students who have better empathetic skills might shift between listening styles flexibly rather than sticking to a specific listening style.

Ecological momentary interventions for smoking cessation: a systematic review and meta-analysis.

BACKGROUND AND OBJECTIVES: Tobacco use is an important cause of preventable mortality and morbidity worldwide. Only 7% of smokers successfully quit annually, despite numerous evidence-based smoking cessation treatments. An important reason for failure is barriers to accessing appropriate smoking cessation interventions, which can be minimized by technology-delivered interventions, such as ecological momentary interventions. Ecological momentary interventions provide the right type and intensity of treatment in real time, based on ecological momentary assessments of relevant variables. The aim of this review was to assess the effectiveness of ecological momentary interventions in smoking cessation. METHODS: We searched MEDLINE, Scopus, CENTRAL, psychINFO, and ProQuest without applying any filters on 19 September, 2022. One author screened search results for obvious irrelevant and duplicate studies. The remaining studies were independently reviewed by two authors to exclude irrelevant studies, and then they extracted data from the included studies. We collated study findings, transformed data into a common rubric, and calculated a weighted treatment effect across studies using Review Manager 5. FINDINGS: We analyzed 10 studies with a total of 2391 participants. Assessment methods included exhaled CO analyzers, bidirectional SMS, data input in apps, and hand movement detection. Interventions were based on acceptance and commitment therapy and cognitive behavioral therapy. Smoking abstinence was significantly higher in participants of intervention groups compared to control groups (RR = 1.24; 95% CI 1.07-1.44, P = 0.004; I2 = 0%). CONCLUSION: Ecological momentary intervention is a novel area of research in behavioral science. The results of this systematic review based on the available literature suggest that these interventions could be beneficial for smoking cessation.

The influencing factors of elder-friendly public open spaces promoting older adults' health in deprived urban neighborhoods: Partial Least Square Structural Equation Modeling approach.

Background: Public open spaces (POSs) is considered a feature of the built environment that is important for physical, mental, and social health during life and contributes to active aging. Hence, policymakers, practitioners, and academics have recently focused on indicators of elder-friendly environments, particularly in developing countries. Objective: This study aimed to examine the attributes of POSs and socio-demographic status that positively influence older people's health in Tehran's deprived neighborhoods using a pathway model. Methods: We employed a pathway model to explore the relationships between place function, place preferences, and process in the environment as the perceived (subjective) positive features of POSs associated with older adults' health, compared to the objective attributes of POSs. We also included personal characteristics, including physical, mental, and social dimensions, to explore how these factors are related to the health of older adults. To assess the subjective perception of POSs attributes, 420 older adults were asked to complete Elder-Friendly Urban Spaces Questionnaire (EFUSQ) from April 2018 to September 2018 in the 10th District of Tehran. We used the SF-12 questionnaire and "The self-Rated Social Health of Iranians Questionnaire to measure older people's physical and mental health and elder social health." Geographical Information System (GIS) measures (Street connectivity, Residential density, Land use mix, Housing quality) were derived as objective measures of neighborhood features. Results: According to our findings, the personal aspect, socio-demographic status (such as Gender, Marital status, Education, Occupation as well as Frequency of being present in POSs), place preferences (Security, Fear of Falling, Way Finding and Perceived Aesthetics), and process in the environment's latent (Social Environment, Cultural Environment, Place Attachment, and Life Satisfaction)constructs collectively influenced the elders' health. Conclusion: We found positive associations between Place preference, Process-in-environment, and personal health-related factors to elders' health (social, mental, and physical). The path model presented in the study could be guided in future research in this area and inform the development of evidence-based urban planning and design interventions for improve older adults health and social functioning and quality of life.

Attitude and Belief of Healthcare Professionals Towards Effective Obesity Care and Perception of Barriers; An Updated Systematic Review and Meta-analysis.

BACKGROUND: Obesity is a serious chronic disease that adversely affects health and quality of life. However, a significant percentage of people do not participate in or adhere to weight loss programs. Therefore, a multidisciplinary approach is needed to identify critical barriers to effective obesity management and to examine health practitioners' attitudes and behaviors towards effective obesity treatment. METHODS: This systematic review was conducted in accordance with PRISMA 2020. Eligible studies were identified through a systematic review of the literature using Medline, Scopus, Cochrane, Google Scholar, Web of Science, and Embase databases from January 1, 2011 to March 2, 2021. RESULTS: A total of 57 articles were included. Data on 12663 physicians were extracted from a total of 35 quantitative articles. Some of the most commonly perceived attitude issues included "obesity has a huge impact on overall health", "obesity is a disease" and "HCPs are to blame". Health professionals were more inclined to believe in "using BMI to assess obesity," "advice to increase physical activity," and "diet/calorie reduction advice." The major obstacles to optimal treatment of obesity were "lack of motivation", "lack of time" and "lack of success". CONCLUSION: Although the majority of health care professionals consider obesity as a serious disease which has a large impact on overall health, counseling for lifestyle modification, pharmacologic or surgical intervention occur in almost half of the visits. Increasing the length of physician visits as well as tailoring appropriate training programs could improve health care for obesity.

An ecological approach to the development of an active aging measurement in urban areas (AAMU).

BACKGROUND: An essential element in the process of "aging well" is the concept of Active Aging (AA). To propose an operational definition of Active Aging, the present study seeks to develop a new measurement tool through an ecological approach. The aim is to recognize significant indicators that play a role in assessing AA in urban areas. METHODS: This study was conducted through a two-phase process of consensus-building: 1) identifying a set of indicators that were likely candidates for inclusion based on literature review, and 2) a two-round modified Delphi survey using an international panel of academic experts in environmental sciences and gerontology to achieve consensus on the importance of the extracted indicators and validate the items. The panelists were asked to complete a researcher-developed questionnaire with an 11-point Likert scale based on the indicators derived in phase 1. Finally, the Delphi survey's valid indicators and criteria were utilized to develop the measurement tool. RESULTS: At the outset, a list of 111 indicators of AA was prepared through the desk study. A panel of 22 experts reviewed the extracted items and arrived at a consensus on 99 items in the first round and finalised in the second round. Thematic analysis of the panelists' open-ended responses revealed new concepts that would be explicitly considered by the consensus group. This developed measurement scale consists of five domains, i.e., individual, spatial, socio-economic, governance, and health-related, which contain 15 criteria and 99 indicators. CONCLUSIONS: The present researchers have developed the active aging measure for urban settlements (AAMU), which can be used both by policy-makers and as an informal self-reported statement among the elderly. AAM's results in the elderly's residential environmental communities can improve policy-making to address urban design to sustain an active, healthy life among older people in urban environments.

A description of spatial-temporal patterns of the novel COVID-19 outbreak in the neighbourhoods' scale in Tehran, Iran.

Background: Analyzing and monitoring the spatial-temporal patterns of the new coronavirus disease (COVID-19) pandemic can assist local authorities and researchers in detecting disease outbreaks in the early stages. Because of different socioeconomic profiles in Tehran's areas, we will provide a clear picture of the pandemic distribution in Tehran's neighbourhoods during the first months of its spread from February to July 2020, employing a spatial-temporal analysis applying the geographical information system (GIS). Disease rates were estimated by location during the 5 months, and hot spots and cold spots were highlighted. Methods: This study was performed using the COVID-19 incident cases and deaths recorded in the Medical Care Monitoring Centre from February 20, to July 20, 2020. The local Getis-Ord Gi* method was applied to identify the hotspots where the infectious disease distribution had significantly clustered spatially. A statistical analysis for incidence and mortality rates and hot spots was conducted using ArcGIS 10.7 software. Results: The addresses of 43,000 Tehrani patients (15,514 confirmed COVID-19 cases and 27,486 diagnosed as probable cases) were changed in its Geo-codes in the GIS. The highest incidence rate from February to July 2020 was 48 per 10,000 and the highest 5-month incidence rate belonged to central and eastern neighbourhoods. According to the Cumulative Population density of patients, the higher number is estimated by more than 2500 people in the area; however, the lower number is highlighted by about 500 people in the neighborhood. Also, the results from the local Getis-Ord Gi* method indicate that COVID-19 has formed a hotspot in the eastern, southeast, and central districts in Tehran since February. We also observed a death rate hot spot in eastern areas. Conclusion: Because of the spread of COVID-19 disease throughout Tehran's neighborhoods with different socioeconomic status, it seems essential to pay attention to health behaviors to prevent the next waves of the disease. The findings suggest that disease distribution has formed a hot spot in Tehran's eastern and central regions.

Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis.

OBJECTIVES: Depression symptom questionnaires are not for diagnostic classification. Patient Health Questionnaire-9 (PHQ-9) scores ≥10 are nonetheless often used to estimate depression prevalence. We compared PHQ-9 ≥10 prevalence to Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (SCID) major depression prevalence and assessed whether an alternative PHQ-9 cutoff could more accurately estimate prevalence. STUDY DESIGN AND SETTING: Individual participant data meta-analysis of datasets comparing PHQ-9 scores to SCID major depression status. RESULTS: A total of 9,242 participants (1,389 SCID major depression cases) from 44 primary studies were included. Pooled PHQ-9 ≥10 prevalence was 24.6% (95% confidence interval [CI]: 20.8%, 28.9%); pooled SCID major depression prevalence was 12.1% (95% CI: 9.6%, 15.2%); and pooled difference was 11.9% (95% CI: 9.3%, 14.6%). The mean study-level PHQ-9 ≥10 to SCID-based prevalence ratio was 2.5 times. PHQ-9 ≥14 and the PHQ-9 diagnostic algorithm provided prevalence closest to SCID major depression prevalence, but study-level prevalence differed from SCID-based prevalence by an average absolute difference of 4.8% for PHQ-9 ≥14 (95% prediction interval: -13.6%, 14.5%) and 5.6% for the PHQ-9 diagnostic algorithm (95% prediction interval: -16.4%, 15.0%). CONCLUSION: PHQ-9 ≥10 substantially overestimates depression prevalence. There is too much heterogeneity to correct statistically in individual studies.

Correction to: Comprehensive 5P framework for active aging using the ecological approach: an iterative systematic review.

It was highlighted that the original article [1] contained a spelling mistake in the name of Hamid R. Baradaran. This was incorrectly captured as Bradaran. The original article has been updated.

Comprehensive 5P framework for active aging using the ecological approach: an iterative systematic review.

BACKGROUND: "Active aging" is an inclusive term and has been defined from a variety of aspects in different domains throughout the literature. The aim of this review was to identify those aspects that play significant roles in building this concept using an ecological approach. METHODS: In this study, seven online databases, including JSTOR, Pub-Med, Web of Science, Google Scholar, ProQuest, EBSCO, and Scopus, were searched from 2002 to 2018 for both qualitative and quantitative articles published in English. Two reviewers independently found the related articles using the search terms "active aging" and "built environment" and included both "ageing" and "aging". RESULTS: Of 1500 records which passed the screening stage, 92 were eligible for inclusion in the review. A total of 15 subthemes were derived: (1) personal characteristics, (2) behavioral attitude, (3) land use, (4) access, (5) physical form, (6) cityscape/city image, (7) public open spaces, (8) housing, (9) social environment, (10) cultural Environment, (11) economic environment, (12) good governance, (13) physical health, (14) mental health, and (15) social health. Ecological themes of active aging can be defined as the 5P model: person, processes, place, prime, and policymaking. CONCLUSIONS: The results of this study can shed light on different aspects of active aging. Also, the results emphasized the significance of the multidimensional nature of active aging, micro (person), meso (process), and macro systems (place and policymaking), based on health (prime) environments. Moreover, the results were based on the relationships between the person and the environment at the individual, interpersonal, and environmental levels, which can be used to conduct future studies and develop policies on aging populations.

Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis.

BACKGROUND: Item 9 of the Patient Health Questionnaire-9 (PHQ-9) queries about thoughts of death and self-harm, but not suicidality. Although it is sometimes used to assess suicide risk, most positive responses are not associated with suicidality. The PHQ-8, which omits Item 9, is thus increasingly used in research. We assessed equivalency of total score correlations and the diagnostic accuracy to detect major depression of the PHQ-8 and PHQ-9. METHODS: We conducted an individual patient data meta-analysis. We fit bivariate random-effects models to assess diagnostic accuracy. RESULTS: 16 742 participants (2097 major depression cases) from 54 studies were included. The correlation between PHQ-8 and PHQ-9 scores was 0.996 (95% confidence interval 0.996 to 0.996). The standard cutoff score of 10 for the PHQ-9 maximized sensitivity + specificity for the PHQ-8 among studies that used a semi-structured diagnostic interview reference standard (N = 27). At cutoff 10, the PHQ-8 was less sensitive by 0.02 (-0.06 to 0.00) and more specific by 0.01 (0.00 to 0.01) among those studies (N = 27), with similar results for studies that used other types of interviews (N = 27). For all 54 primary studies combined, across all cutoffs, the PHQ-8 was less sensitive than the PHQ-9 by 0.00 to 0.05 (0.03 at cutoff 10), and specificity was within 0.01 for all cutoffs (0.00 to 0.01). CONCLUSIONS: PHQ-8 and PHQ-9 total scores were similar. Sensitivity may be minimally reduced with the PHQ-8, but specificity is similar.

The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis.

BACKGROUND: Screening for major depression with the Patient Health Questionnaire-9 (PHQ-9) can be done using a cutoff or the PHQ-9 diagnostic algorithm. Many primary studies publish results for only one approach, and previous meta-analyses of the algorithm approach included only a subset of primary studies that collected data and could have published results. OBJECTIVE: To use an individual participant data meta-analysis to evaluate the accuracy of two PHQ-9 diagnostic algorithms for detecting major depression and compare accuracy between the algorithms and the standard PHQ-9 cutoff score of ≥10. METHODS: Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, Web of Science (January 1, 2000, to February 7, 2015). Eligible studies that classified current major depression status using a validated diagnostic interview. RESULTS: Data were included for 54 of 72 identified eligible studies (n participants = 16,688, n cases = 2,091). Among studies that used a semi-structured interview, pooled sensitivity and specificity (95% confidence interval) were 0.57 (0.49, 0.64) and 0.95 (0.94, 0.97) for the original algorithm and 0.61 (0.54, 0.68) and 0.95 (0.93, 0.96) for a modified algorithm. Algorithm sensitivity was 0.22-0.24 lower compared to fully structured interviews and 0.06-0.07 lower compared to the Mini International Neuropsychiatric Interview. Specificity was similar across reference standards. For PHQ-9 cutoff of ≥10 compared to semi-structured interviews, sensitivity and specificity (95% confidence interval) were 0.88 (0.82-0.92) and 0.86 (0.82-0.88). CONCLUSIONS: The cutoff score approach appears to be a better option than a PHQ-9 algorithm for detecting major depression.

Development and validation of elder-friendly urban spaces questionnaire (EFUSQ).

BACKGROUND: Considering the lack of specific measurement tools to study elders' perceptions in outdoor spaces, the study objectives were to derive and validate a questionnaire that assesses the essential features of elderly-friendly urban spaces. METHODS: We used closed-ended questions in two phases. In the first qualitative phase, a preliminary questionnaire was defined using grounded theory. In the second phase, the psychometric properties of the elderly-friendly urban spaces were examined through validity and reliability indices. RESULTS: The findings of the first phase led to a preliminary item extraction and questionnaire with 15 major domains based on three dimensions: place function, place preferences, and process. In the second phase, a 48-item questionnaire, based on three dimensions, in addition to personal characteristics, was introduced. CONCLUSIONS: The Elderly-Friendly Urban Spaces Questionnaire (EFUSQ) can be adopted in various communities in understanding of how to create age-friendly urban spaces to promote active aging.

Association of sugar sweetened beverages consumption with non-alcoholic fatty liver disease: a systematic review and meta-analysis.

PURPOSE: The relationship between consumption of sugar sweetened beverages (SSB) and NAFLD has been reported in several epidemiological studies, but the results are inconsistent. The present systematic review and meta-analysis of observational studies was carried out to assess the relationship between sugar sweetened beverages consumption and NAFLD. METHODS: Online databases were searched systematically through December, 2016 for studies investigating association between SSB consumption and NAFLD but limited to observational studies in human. Pooled odds ratio (OR) and 95% confidence intervals were calculated using Der-Simonian and Laird method while random effects meta-analysis was used, taking into account conceptual heterogeneity. Heterogeneity was assessed with the Cochran Q statistic and quantified with the I2 statistic. RESULTS: Of the 1015 identified articles, 42 were reviewed in depth and six studies (four cross-sectional, one case-control, and one cohort) met the criteria for inclusion in our systematic review with 6326 participants and 1361 cases of NAFLD in both men and women. Finally, four cross-sectional studies were included in the meta-analysis. Higher intake of SSBs (highest compared to lowest categories) was significantly associated with NAFLD, with a 40% increased Odds of NAFLD after adjusting for important potential confounders (pooled odds ratio 1.40; 95% CI 1.07, 1.82). There was no evidence for significant heterogeneity across studies [P = 0.226 (Q statistics), I2 = 31.0%]. A significant positive association between SSB consumption and NAFLD was observed consistently in a sensitivity analysis [range of summary ORs 1.39-1.49]. There was no evidence of publication bias for the association between SSB and NAFLD. CONCLUSIONS: This meta-analysis supports a positive significant association between higher consumption of SSB and NAFLD in both men and women. These findings strengthen the evidence that intake of SSBs should be limited to reduce fatty liver disease.

Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews.

BACKGROUND: Different diagnostic interviews are used as reference standards for major depression classification in research. Semi-structured interviews involve clinical judgement, whereas fully structured interviews are completely scripted. The Mini International Neuropsychiatric Interview (MINI), a brief fully structured interview, is also sometimes used. It is not known whether interview method is associated with probability of major depression classification.AimsTo evaluate the association between interview method and odds of major depression classification, controlling for depressive symptom scores and participant characteristics. METHOD: Data collected for an individual participant data meta-analysis of Patient Health Questionnaire-9 (PHQ-9) diagnostic accuracy were analysed and binomial generalised linear mixed models were fit. RESULTS: A total of 17 158 participants (2287 with major depression) from 57 primary studies were analysed. Among fully structured interviews, odds of major depression were higher for the MINI compared with the Composite International Diagnostic Interview (CIDI) (odds ratio (OR) = 2.10; 95% CI = 1.15-3.87). Compared with semi-structured interviews, fully structured interviews (MINI excluded) were non-significantly more likely to classify participants with low-level depressive symptoms (PHQ-9 scores ≤6) as having major depression (OR = 3.13; 95% CI = 0.98-10.00), similarly likely for moderate-level symptoms (PHQ-9 scores 7-15) (OR = 0.96; 95% CI = 0.56-1.66) and significantly less likely for high-level symptoms (PHQ-9 scores ≥16) (OR = 0.50; 95% CI = 0.26-0.97). CONCLUSIONS: The MINI may identify more people as depressed than the CIDI, and semi-structured and fully structured interviews may not be interchangeable methods, but these results should be replicated.Declaration of interestDrs Jetté and Patten declare that they received a grant, outside the submitted work, from the Hotchkiss Brain Institute, which was jointly funded by the Institute and Pfizer. Pfizer was the original sponsor of the development of the PHQ-9, which is now in the public domain. Dr Chan is a steering committee member or consultant of Astra Zeneca, Bayer, Lilly, MSD and Pfizer. She has received sponsorships and honorarium for giving lectures and providing consultancy and her affiliated institution has received research grants from these companies. Dr Hegerl declares that within the past 3 years, he was an advisory board member for Lundbeck, Servier and Otsuka Pharma; a consultant for Bayer Pharma; and a speaker for Medice Arzneimittel, Novartis, and Roche Pharma, all outside the submitted work. Dr Inagaki declares that he has received grants from Novartis Pharma, lecture fees from Pfizer, Mochida, Shionogi, Sumitomo Dainippon Pharma, Daiichi-Sankyo, Meiji Seika and Takeda, and royalties from Nippon Hyoron Sha, Nanzando, Seiwa Shoten, Igaku-shoin and Technomics, all outside of the submitted work. Dr Yamada reports personal fees from Meiji Seika Pharma Co., Ltd., MSD K.K., Asahi Kasei Pharma Corporation, Seishin Shobo, Seiwa Shoten Co., Ltd., Igaku-shoin Ltd., Chugai Igakusha and Sentan Igakusha, all outside the submitted work. All other authors declare no competing interests. No funder had any role in the design and conduct of the study; collection, management, analysis and interpretation of the data; preparation, review or approval of the manuscript; and decision to submit the manuscript for publication.

Evaluating the effectiveness of peer-based intervention in managing type I diabetes mellitus among children and adolescents: A systematic review.

Background: Type 1 diabetes is one of the chronic metabolic disorders among children and adolescents. Peers are also important units in diabetes management through adolescence. This study aimed to evaluate the effectiveness of peer-based intervention in managing type 1 diabetes mellitus among children and adolescents. Methods: Searching articles published prior to December 2013 in PubMed, Web of Science, Cochrane library, Science Direct, Google scholar, CINAHL and Scopus, we found 8,548 publications. The first reviewer critically appraised the retrieved articles, using the CONSORT and the TREND checklists and then the second-assessor checked them. All abstracts were screened, and only eight full text articles remained for evaluation based on inclusion criteria Results: Eight studies, including five randomized controlled trials, one controlled trial, and two pre-post trials were critically appraised based on CONSORT and the TREND checklists. The outcomes of these studies were as follows: knowledge (three studies), attitude (two studies), performance (one study), clinical parameters- exclusively HbA1c-(four studies), and psychosocial parameters-such as quality of life, coping, self-care, selfconfidence, satisfaction with the perceived social support, social skills, and diabetes-related conflicts Conclusion: The findings of this systematic review revealed that peer-based interventions could help to manage diabetes. While there is a lack of professional or family-based interventions and education, peers can be involved in the process of patient education. As there are few studies in the area of peer-based diabetes management, conducting further interventional studies with robust methodology is highly recommended.

Projection of Diabetes Population Size and Associated Economic Burden through 2030 in Iran: Evidence from Micro-Simulation Markov Model and Bayesian Meta-Analysis.

BACKGROUND: The aim of this study was to estimate the economic burden of diabetes mellitus (DM) in Iran from 2009 to 2030. METHODS: A Markov micro-simulation (MM) model was developed to predict the DM population size and associated economic burden. Age- and sex-specific prevalence and incidence of diagnosed and undiagnosed DM were derived from national health surveys. A systematic review was performed to identify the cost of diabetes in Iran and the mean annual direct and indirect costs of patients with DM were estimated using a random-effect Bayesian meta-analysis. Face, internal, cross and predictive validity of the MM model were assessed by consulting an expert group, performing sensitivity analysis (SA) and comparing model results with published literature and national survey reports. Sensitivity analysis was also performed to explore the effect of uncertainty in the model. RESULTS: We estimated 3.78 million cases of DM (2.74 million diagnosed and 1.04 million undiagnosed) in Iran in 2009. This number is expected to rise to 9.24 million cases (6.73 million diagnosed and 2.50 million undiagnosed) by 2030. The mean annual direct and indirect costs of patients with DM in 2009 were US$ 556 (posterior standard deviation, 221) and US$ 689 (619), respectively. Total estimated annual cost of DM was $3.64 (2009 US$) billion (including US$1.71 billion direct and US$1.93 billion indirect costs) in 2009 and is predicted to increase to $9.0 (in 2009 US$) billion (including US$4.2 billion direct and US$4.8 billion indirect costs) by 2030. CONCLUSIONS: The economic burden of DM in Iran is predicted to increase markedly in the coming decades. Identification and implementation of effective strategies to prevent and manage DM should be considered as a public health priority.

Cost-effectiveness analysis of the introduction of rotavirus vaccine in Iran.

BACKGROUND: Although the mortality from diarrheal diseases has been decreasing dramatically in Iran, it still represents an important proportion of disease burden in children <5 years old. Rotavirus vaccines are among the most effective strategies against diarrheal diseases in specific epidemiological conditions. This study aimed to evaluate the cost-effectiveness of the introduction of rotavirus vaccine (3 doses of pentavalent RotaTeq (RV5)) in Iran, from the viewpoints of Iran's health system and society. METHODS: The TRIVAC decision support model was used to calculate total incremental costs, life years (LYs) gained, and disability-adjusted life years (DALYs) averted due to the vaccination program. Necessary input data were collected from the most valid accessible sources as well as a systematic review and meta-analysis on epidemiological studies. We used WHO guidelines to estimate vaccination cost. An annual discount rate of 3% was considered for both health gain and costs. A deterministic sensitivity analysis was performed for testing the robustness of the models results. RESULTS: Our results indicated that total DALYs potentially lost due to rotavirus diarrhea within 10 years would be 138,161, of which 76,591 could be prevented by rotavirus vaccine. The total vaccination cost for 10 cohorts was estimated to be US$ 499.91 million. Also, US$ 470.61 million would be saved because of preventing outpatient visits and inpatient admissions (cost-saving from the society perspective). We estimated a cost per DALY averted of US$ 2868 for RV5 vaccination, which corresponds to a highly cost-effective strategy from the government perspective. In the sensitivity analysis, all scenarios tested were still cost-saving or highly cost-effective from the society perspective, except in the least favorable scenario and low vaccine efficacy and disease incidence scenario. CONCLUSION: Based on the findings, introduction of rotavirus vaccine is a highly cost-effective strategy from the government perspective. Introducing the vaccine to the national immunization program is an efficient use of available funds to reduce child mortality and morbidity in Iran.

Effectiveness of teaching evidence-based medicine to undergraduate medical students: a BEME systematic review.

BACKGROUND: Despite the widespread teaching of evidence-based medicine (EBM) to medical students, the relevant literature has not been synthesized appropriately as to its value and effectiveness. AIM: To systematically review the literature regarding the impact of teaching EBM to medical students on their EBM knowledge, attitudes, skills and behaviors. METHODS: MEDLINE, SCOPUS, Web of science, ERIC, CINAHL and Current Controlled Trials up to May 2011 were searched; backward and forward reference checking of included and relevant studies was also carried out. Two investigators independently extracted data and assessed the quality of the studies. RESULTS: 10,111 potential studies were initially found, of which 27 were included in the review. Six studies examined the effect of clinically integrated methods, of which five had a low quality and the other one used no validated assessment tool. Twelve studies evaluated the effects of seminars, workshops and short courses, of which 11 had a low quality and the other one lacked a validated assessment tool. Six studies examined e-learning, of which five having a high or acceptable quality reported e-learning to be as effective as traditional teaching in improving knowledge, attitudes and skills. One robust study found problem-based learning less effective compared to usual teaching. Two studies with high or moderate quality linked multicomponent interventions to improved knowledge and attitudes. No included study assessed the long-term effects of the teaching of EBM. CONCLUSIONS: Our findings indicated that some EBM teaching strategies have the potential to improve knowledge, attitudes and skills in undergraduate medical students, but the evidenced base does not demonstrate superiority of one method. There is no evidence demonstrating transfer to clinical practice.

Health system responsiveness for outpatient care in people with diabetes Mellitus in Tehran.

BACKGROUND: World Health Organization (WHO) defines three goals to assess the performance of a health system: the state of health, fairness in financial contribution and responsiveness. We assessed the responsiveness of health system for patients with diabetes in a defined population cohort in Tehran, Iran. METHODS: Total responsiveness and eight domains (prompt attention, dignity, communication, autonomy, confidentiality, choice, basic amenities and discrimination) were assessed in 150 patients with diabetes as a representative sample from the Tehran Glucose and Lipid Study (TLGS) population cohort. We used the WHO questionnaire and methods for analysis of responsiveness. RESULTS: With respect to outpatient services, 67% (n=100) were classified as Good for total responsiveness. The best and the worse performing results were related to information confidentiality (84% good responsiveness) and autonomy (51% good responsiveness), respectively. About 61% chose "communication" as the most important domain of responsiveness; it was on the 4th rank of performance. The proportions of poor responsiveness were higher in women, individuals with lower income, lower level of education, and longer history of diabetes. "Discrimination" was considered discrimination as the cause of inappropriate services by 15%, and 29% had limited access to services because of financial unaffordability. CONCLUSION: Health system responsiveness is not appropriate for diabetic patients. Improvement of responsiveness needs comprehensive planning to improve attitudes of healthcare providers and system behavior. Activities should be prioritized through considering weaker domains of performance and more important domains from the patients' perspective.