Cost-effectiveness of pretreatment HIV drug resistance testing in people living with HIV in Iran.

INTRODUCTION: HIV drug resistance (HIVDR) is an important challenge in the fight against HIV/AIDS and can threaten progress toward achieving the target of HIV elimination by 2030. Genotyping pretreatment HIVDR testing (DRT) has been proposed as a potential solution. However, the cost-effectiveness of this intervention needs to be evaluated to determine its feasibility and potential impact on healthcare systems. This study aimed to assess the cost-effectiveness of DRT among people living with HIV (PLHIV) in Iran. METHODS: 1000 hypothetical PLHIV were simulated in terms of cost and effectiveness based on quality-adjusted life Years (QALY). The Markov Model was developed to calculate incremental cost-effectiveness ratio (ICER) using TreeAge Pro 2020. Deterministic and probabilistic analyses were performed for sensitivity analyses. RESULTS: Results showed that compared to not performing pretreatment HIVDR testing, this intervention gained 0.035999 QALY with an incremental cost of 1,695.32 USD. The ICER was calculated as 47,093.53 USD, indicating that pretreatment DRT was not cost-effective. The probability of opportunistic infection (OI) in people with viral failure, the effectiveness of Dolutegravir in people without drug resistance, and the quality of life (QoL) of people in the AIDS stage were found to be the most important variables affecting ICER. With an increasing willingness to pay more than 53,000 USD, pretreatment DRT testing will become cost-effective. CONCLUSION: Based on our findings, pretreatment HIVDR testing is not currently cost-effective in Iran as it imposes high costs on healthcare systems with few benefits for People living with HIV (PLHIV). However, if resources are available, drug resistance testing can be a valuable tool in generating HIV molecular data and molecular surveillance of HIV.

Sleep quality and associated factors among people who inject drugs in Iran: a nationwide survey using respondent-driven sampling.

BACKGROUND: Poor sleep quality is a significant issue among people who inject drugs (PWID). This study aimed to evaluate sleep quality and associated factors among PWID in Iran. METHODS: Using respondent-driven sampling, 2,652 PWID (2,563 male) were recruited in 11 major cities in Iran between 2019 and 2020. The Pittsburgh Sleep Quality Index was utilized to measure sleep quality, and logistic regression was used to assess associations in RDSAnalyst, a software designed for respondent-driven sampling. RESULTS: The overall prevalence of poor sleep quality was 68.4% (68.3% among males and 70.2% among females). Married PWID had higher odds of poor sleep quality (Adjusted Odds Ratio (AOR): 1.41; 95% CI: 1.05, 1.91). Lack of access to sufficient food in the past 12 months was also associated with poor sleep quality (AOR: 1.73; 95% CI: 1.17, 2.57 for sometimes having no access, and AOR: 2.95; 95% CI: 1.93, 4.52 for always having no access compared to always having access). Additionally, good self-rated health was significantly associated with lower odds of poor sleep quality (AOR: 0.19; 95% CI: 0.11, 0.31). CONCLUSION: Poor sleep quality is prevalent among PWID in Iran. It is recommended to mitigate the adverse effects of this issue and enhance the overall quality of life for PWID. Supportive interventions aimed at preventing and treating poor sleep quality, as well as improving overall health outcomes, are essential.

Non-injection drug use among incarcerated people in Iran: Findings from three consecutive national bio-behavioral surveys.

BACKGROUND: Prisons often serve as high-risk environments for drug use, and incarcerated people are at a high risk for substance use-related mental and physical harms. This study aimed to determine the prevalence of non-injection drug use inside the prison and its related factors among incarcerated people in Iran. METHODS: We utilized data from three national bio-behavioral surveillance surveys conducted among incarcerated people in Iran in 2009, 2013, and 2017. Eligibility criteria were being ≥ 18 years old, providing informed consent, and being incarcerated for over a week. Overall, 17,228 participants across all surveys were recruited through a multi-stage random sampling approach. Each participant underwent a face-to-face interview and HIV test. The primary objective of the study was to assess self-reported non-injection drug use within the prison environment within the last month. A multivariable logistic regression model was built to determine associated covariates with drug use inside prison and an adjusted odds ratio (aOR) with 95% confidence intervals (CI) were reported. RESULT: The prevalence of non-injection drug use inside the prison was 24.1% (95% CI 23.5, 24.7) with a significant decreasing trend (39.7% in 2009, 17.8% in 2013, 14.0% in 2017; p-value < 0.001). Overall, 44.0% of those who used drugs were also receiving opioid agonist therapy (OAT) and we noted that in 2017, 75.1% of those on OAT used stimulants. In the multivariable logistic regression model, the year of interview (2013: aOR = 1.43 and 2009: aOR = 5.60), younger age (19-29: aOR = 1.14 and 30-40: aOR = 1.37), male sex (aOR = 3.35), < high school education (aOR = 1.31), having a history of previous incarceration (aOR = 1.26), and having a history of lifetime HIV testing (aOR = 1.76) were significantly and positively associated with recent non-injection drug use inside the prison. CONCLUSIONS: Approximately one in four incarcerated people in Iran reported drug use within the last month inside prisons. While a declining trend in non-injection drug use was noted, substantial gaps persist in harm reduction programs within Iranian prisons. In particular, there is a pressing need for improvements in drug treatment programs, focusing on the integration of initiatives specifically designed for people who use stimulants.

Occupational Fatigue and Its Relationship with Musculoskeletal Disorders and Heat Stress among the Workers of Summer Crops in Southeast Iran in 2021.

Aims: This research aimed to evaluate work fatigue and its relationship with musculoskeletal disorders (MSDs) and heat stress (WBGT) among greenhouse workers in Jiroft County, southeast Iran. Materials and Methods: This cross-sectional study was carried out between September 2021 and February 2022 among 150 workers in summer crop greenhouses. Data were collected by a demographic questionnaire, the Swedish occupational fatigue inventory (SOFI-20), and the Nordic musculoskeletal questionnaire (NMQ), and wet bulb globe temperature (WBGT) was measured as per ISO 7243. The collected data were analyzed by the χ2 test, logistic regression, and multivariable linear regression in the Stata 17.0 software. Results: The results showed a higher total fatigue score among the studied workers (mean = 100.71 out of 200). Among the fatigue dimensions, the three dimensions of lack of energy, physical discomfort, and physical exertion had the highest scores of 27.28, 26.71, and 25.71, respectively. The highest rate of MSD prevalence was in the back (54.7%), neck (50.7%), and shoulders (49.3%). Based on ISO 7243, the mean WBGT was beyond the allowed level for most tasks for greenhouse workers. There was a statistically significant relationship between occupational fatigue with MSDs and WBGT. Conclusion: Given the relatively high score reported for fatigue and its relationship with MSDs and heat stress, it is recommended to conduct further and more applied studies to investigate the approaches to alleviating heat stress and physical ergonomic risk factors in greenhouses in this occupational group.

Prevalence of mobile phone addiction and poor mental health, and factors associated with mental health among medical students in Southeast Iran.

BACKGROUND: Mobile phone addiction is on the rise among various populations, particularly among the younger generations. This phenomenon can significantly impact various aspects of life, particularly mental health. This study aimed to examine the prevalence of mobile phone addiction and mental health, as well as the associated factors of mental health among medical students in southeast Iran in 2023. METHODS: Using stratified sampling, 365 students from the Kerman University of Medical Sciences were included from May to June 2023. The data collection tool comprised a questionnaire assessing general health (GHQ-28), mobile phone addiction, and social support. Logistic regression was used to examine the associated factors of mental health. RESULTS: The prevalence of mobile phone addiction and poor mental health among students was 46.6% (95% Confidence Intervals [CI]: 41.4; 51.7) and 52.9% (95% CI: 47.7; 57.9), respectively. The results of the multivariable logistic regression analysis indicated that individuals with mobile phone addiction had higher odds of experiencing a poor mental health situation (Adjusted Odds Ratio [aOR] = 2.01; 95% CI: 1.30, 3.09). Conversely, participants with higher social support scores were less likely to have poor health (aOR = 0.95; 95% CI: 0.94, 0.97). CONCLUSION: We found a high prevalence of mobile phone addiction. Considering the association between mobile phone addiction and mental health, it is necessary to prevent the complications and risks caused by mobile phone addiction; it requires educational planning, counseling, and behavior among vulnerable students.

Maternal and neonatal outcomes in pregnant women with multiple sclerosis disease: A systematic review and meta-analysis.

OBJECTIVES: Little is known regarding the impact of multiple sclerosis (MS) on maternal and neonatal outcomes. Consequently, this systematic review and meta-analysis aimed to study the impacts of MS on maternal and neonatal outcomes in pregnant women with a history of MS. METHODS: This review was designed in line with the PRISMA guidelines. Two researchers conducted independent reviews of the literature without time restrictions until January 2023 using international databases, including PubMed, Web of Science, CINAHL Plus, Embase, Scopus, Science Direct, and Google Scholar. A random-effect meta-analysis, using the db metan command in Stata 17.2, was used to calculate the pooled measure of association. RESULTS: The meta-analysis identified 15 studies involving 33,174,541 pregnant women (32,191 with MS and 33,142,350 as controls). The findings indicate that women with a history of MS are at an increased risk of cesarean delivery (OR=1.28, 95% Confidence Intervals [CI]: 1.14-1.45, p-value: 0.042). Also, these women are at higher risk of neonatal outcomes, such as preterm birth (OR= 1.39, 95% CI: 1.08-1.78, p-value: 0.02), congenital malformations (OR=1.32, 95%CI: 1.16-1.50, p-value: 0.031), Apgar score <7 (OR=2.13, 95% CI: 1.19-3.79, p-value: 0.03), and small for gestational age (OR=1.27, 95% CI: 1.08-1.51, p-value: 0.040). CONCLUSION: Pregnant women with MS have a greater chance of adverse pregnancy results than pregnant women without MS. Consequently, pregnant women with MS should create detailed before and after pregnancy plans, in consultation with their doctors, spouses, families, and friends, regarding the necessary care and supplements. Future studies applying a prospective cohort design that control for potential confounders are needed to further validate the findings.

A qualitative study exploring approaches, barriers, and facilitators of the HIV partner notification program in Kerman, Iran.

BACKGROUND: HIV partner notification services can help people living with HIV (PLHIV) to identify, locate, and inform their sexual and injecting partners who are exposed to HIV and refer them for proper and timely counseling and testing. To what extent these services were used by PLHIV and what are the related barriers and facilitators in southeast Iran are not known. So, this study aimed to explore HIV notification and its barriers and facilitators among PLHIV in Iran. METHODS: In this qualitative study, the number of 23 participants were recruited from November 2022 to February 2023 including PLHIV (N = 12), sexual partners of PLHIV (N = 5), and staff members (N = 6) of a Voluntary Counseling and Testing (VCT) center in Kerman located in the southeast of Iran. Our data collection included purposive sampling to increase variation. The content analysis was conducted using the Graneheim and Lundman approach. The analysis yielded 221 (out of 322) related codes related to HIV notification, its barriers, and its facilitators. These codes were further categorized into one main category with three categories and nine sub-categories. RESULTS: The main category was HIV notification approaches, HIV notification barriers, and facilitators. HIV notification approaches were notification through clear, and direct conversation, notification through gradual preparation and reassurance, notification due to being with PLHIV, notification through suspicious talking of the physician, and notification due to the behavior of others. Also, the barriers were classified into individual, social, and environmental, and healthcare system barriers and the facilitators were at PLHIV, healthcare staff, and community levels. Stigma was a barrier mentioned by most participants. Also, the main facilitator of HIV notification was social support, especially from the family side. CONCLUSIONS: The findings highlighted the multidimensionality of HIV notification emphasizing the importance of tailored support and education to enhance the notification process for PLHIV and their networks. Also, our results show that despite all the efforts to reduce stigma and discrimination in recent years, stigma still exists as a main obstacle to disclosing HIV status and other barriers are the product of stigma. It seems that all programs should be directed towards destigmatization.

Comparison of safety and effectiveness of antiretroviral therapy regimens among pregnant women living with HIV at preconception or during pregnancy: a systematic review and network meta-analysis of randomized trials.

BACKGROUND: Mother-to-child transmission is the primary cause of HIV cases among children. Antiretroviral therapy (ART) plays a critical role in preventing mother-to-child transmission and reducing HIV progression, morbidity, and mortality among mothers. However, after more than two decades of ART during pregnancy, the comparative effectiveness and safety of ART medications during pregnancy are unclear, and existing evidence is contradictory. This study aimed to assess the effectiveness and safety of different ART regimens among pregnant women living with HIV at preconception or during pregnancy. METHODS: We searched MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and Web of Science. We included randomized trials that enrolled pregnant women living with HIV and randomized them to receive ART for at least four weeks. Pairs of reviewers independently completed screening for eligible studies, extracted data, and assessed the risk of bias using the Cochrane risk of bias tool. Our outcomes of interest included low birth weight, stillbirth, preterm birth, mother-to-child transmission of HIV, neonatal death, and congenital anomalies. Network meta-analysis was performed using a random-effects frequentist model, and the certainty of evidence was evaluated using the GRADE approach. RESULTS: We found 14 eligible randomized trials enrolling 9,561 pregnant women. The median duration of ART uptake ranged from 6.0 to 17.4 weeks. No treatment was statistically better than a placebo in reducing the rate of neonatal mortality, stillbirth, congenital defects, preterm birth, or low birth weight deliveries. Compared to placebo, zidovudine (ZDV)/lamivudine (3TC) and ZDV monotherapy likely reduce mother-to-child transmission (odds ratio (OR): 0.13; 95% CI: 0.05 to 0.31, high-certainty; and OR: 0.50; 95% CI: 0.33 to 0.74, moderate-certainty). Moderate-certainty evidence suggested that ZDV/3TC was associated with decreased odds of stillbirth (OR: 0.47; 95% CI: 0.09 to 2.60). CONCLUSIONS: Our analysis provides high- to moderate-certainty evidence that ZDV/3TC and ZDV are more effective in reducing the odds of mother-to-child transmission, with ZDV/3TC also demonstrating decreased odds of stillbirth. Notably, our findings suggest an elevated odds of stillbirth and preterm birth associated with all other ART regimens.

Explaining the barriers faced by veterinarians against preventing antimicrobial resistance: an innovative interdisciplinary qualitative study.

BACKGROUND: Considering the significance of increased antimicrobial resistance (AMR) and its adverse effects on individual and social health and the important and effective role that veterinarians play in controlling this growing issue worldwide, it is essential to have effective preventive control programs. To this aim, the first step is to identify the factors behind the prevalence of AMR in Iran and the barriers veterinarians face to controlling this problem. Thus, the present study was conducted to explain the barriers veterinarians faced in the prevention of AMR from an Iranian veterinarian's perspective. METHODS: The present research was done in three cities in Iran in 2021. The data were collected through in-depth interviews with 18 veterinarians selected through purposive and snowball sampling and analyzed using conventional qualitative content analysis. RESULTS: The data analysis results were classified into 4 main categories and 44 subcategories. The former included: educational factors, administrative/legal factors, client-related factors, and veterinarian-related factors. CONCLUSIONS: The increased AMR can be approached from multiple aspects. Considering the different factors that affect the increased AMR, it is necessary to consider them all through effective planning and policy-making at multi-level and multidisciplinary dimensions. There is special attention needed to scientific and practical interventions at the individual, interpersonal, social, and even political levels. At the same time, measures should be taken to rehabilitate and maintain the health of society to strengthen supervision and attract the full participation of interested organizations.

Efficacy of virtual reality-based training programs and games on the improvement of cognitive disorders in patients: a systematic review and meta-analysis.

INTRODUCTION: Cognitive impairments present challenges for patients, impacting memory, attention, and problem-solving abilities. Virtual reality (VR) offers innovative ways to enhance cognitive function and well-being. This study explores the effects of VR-based training programs and games on improving cognitive disorders. METHODS: PubMed, Scopus, and Web of Science were systematically searched until May 20, 2023. Two researchers selected and extracted data based on inclusion and exclusion criteria, resolving disagreements through consultation with two other authors. Inclusion criteria required studies of individuals with any cognitive disorder engaged in at least one VR-based training session, reporting cognitive impairment data via scales like the MMSE. Only English-published RCTs were considered, while exclusion criteria included materials not primarily focused on the intersection of VR and cognitive disorders. The risk of bias in the included studies was assessed using the MMAT tool. Publication bias was assessed using funnel plots and Egger's test. The collected data were utilized to calculate the standardized mean differences (Hedges's g) between the treatment and control groups. The heterogeneity variance was estimated using the Q test and I2 statistic. The analysis was conducted using Stata version 17.0. RESULTS: Ten studies were included in the analysis out of a total of 3,157 retrieved articles. VR had a statistically significant improvement in cognitive impairments among patients (Hedges's g = 0.42, 95% CI: 0.15, 0.68; p_value = 0.05). games (Hedges's g = 0.61, 95% CI: 0.30, 0.39; p_value = 0.20) had a more significant impact on cognitive impairment improvement compared to cognitive training programs (Hedges's g = 0.29, 95% CI: -0.11, 0.69; p_value = 0.24). The type of VR intervention was a significant moderator of the heterogeneity between studies. CONCLUSION: VR-based interventions have demonstrated promise in enhancing cognitive function and addressing cognitive impairment, highlighting their potential as valuable tools in improving care for individuals with cognitive disorders. The findings underscore the relevance of incorporating virtual reality into therapeutic approaches for cognitive disorders.

The Prevalence of Central Auditory Processing Disorder in Elementary School Students of Kerman, Iran.

Objectives: This study aimed to determine the prevalence of central auditory processing disorder (CAPD) in elementary school students in Kerman, Iran, during 2018-2019. Materials & Methods: This cross-sectional study was conducted on 1369 elementary school students in Kerman. These students were selected by cluster sampling from different areas of Kerman and then screened using the Buffalo Model Questionnaire (BMQ). Based on the data obtained from the questionnaire, normal children were excluded from the study. Then, children with suspected central auditory processing disorder (CAPD) underwent ear exams and were excluded from the study in case of abnormal results in the tympanic membrane examination (rapture-effusion). The remaining subjects underwent peripheral audiometry evaluation, and children with abnormal audiometry were excluded from the study. Finally, the remaining children with suspicious screening results, a normal examination, and normal audiometry underwent a specific test to detect Central auditory processing disorder. Data analysis was carried out using SPSS software. Results: One thousand three hundred sixty-nine primary school students with a mean age of 9.15 ±2.63 years enrolled in this study. 52%% of students were male. 8.03% of them had CAPD. A statistically significant relationship was found between the prevalence of CAPD and gender (P<0.001), place of residence (P<0.001), history of middle ear inflammation (P<0.001) and history of head injury. Conclusion: The quality of life of these students with CAPD can be improved via timely recognition of CAPD and the provision of appropriate preventive and therapeutic facilities.

An intervention to improve antibiotic prescription behavior in veterinary students: A protocol based on the multi-theory model to tackle antimicrobial resistance.

Background and Aims: Antimicrobial resistance (AMR) is a global health threat. Moreover, incorrect and inappropriate drug prescription behavior is considered a fundamental risk factor. Thus, the present study aims to develop, implement, and evaluate the effectiveness of an educational program based on the multi-theoretical model (MTM) in improving antibiotic prescription behavior in veterinary students of Iran. Methods: The present study will include four phases including a qualitative phase, an instrument design and psychometric test phase, and a cross-sectional, and an interventional phase. In the first phase, the sampling will be purposive with a maximum variety. The interviews will be conducted with a sample of veterinarians. Results: The data will be analyzed in MAXQDA 10. In the second phase, the face and content validity will be tested by a panel of experts as field specialists. A confirmatory factor analysis will be used to test construct validity, and Cronbach's alpha coefficient and intracluster correlation coefficient will be used to determine the internal consistency of the instrument. Then, at this stage, a number of veterinary students will be selected through a multi-stage sampling method. In the cross-sectional phase, another sample of veterinary students will complete a researcher-made questionnaire. Then, Spearman's correlation coefficient test will be used to test the relationship between the two stages of behavior initiation and behavior continuation. The data will be analyzed in SPSS 22. In the third phase, some veterinary students will be selected through a census and will be randomly divided into a control and an intervention group. To collect data in the final phase, the researcher-made questionnaire that was designed in the second phase of the study based on a multi-theory model will be used to extract data. To compare demographic characteristics, compare the correlation between the constructs of the multi-theory model with antibiotic prescribing behavior in the cross-sectional phase and compare the scores of the constructs of the MTM in two intervention and control groups paired-samples T test and independent-samples T test will be used. Conclusion: The present study will aim to improve antibiotic prescription behavior in veterinary students based on a MTM. The findings can be used as a model for training students in clinical fields such as veterinary medicine and general medicine at university at a national level. After verification and approval by experts and university professors, we can expect a change in the educational curriculum to include instructions on how to write out prescriptions for students. There are hopes that the present study if conducted accurately and widely to help prevent AMR in livestock, humans, and society.

The effectiveness of court-mandated compulsory treatment in promoting abstinence among people with substance use disorders in Iran.

BACKGROUND: In Iran, people living with substance use disorders who engage in public drug use may be subjected to court-mandated treatment in compulsory drug detention and rehabilitation centers (CDDRC). This study aims to assess residential CDDRC's effectiveness in promoting sustained abstinence among people who use drugs (PWUD) in Kerman, Iran. METHODS: Between October 1, 2021, and September 30, 2022, 1,083 adult male PWUD with a diagnosis of substance use disorders and a history of engagement in public drug use were admitted to the CDDRC in Kerman. They were followed-up for 12 months after discharge. The relationship between baseline variables and abstinence, assessed using rapid urine tests, was examined using crude logistic regression models. RESULTS: Most PWUD were 30 or older (n = 876, 80.9 %) and had a history of previous CDDRC admission (n = 638, 58.9 %). At the end of the 12-month follow-up, only 2.6 % (95 % confidence intervals: 1.7-3.7) were abstinent. Individuals with limited education (Odds ratio [OR] = 3.43; 1.50-7.95) and those with a prior history of admission to the CDDRC (OR = 3.73; 1.55-9.89) had increased odds of relapse. CONCLUSIONS: The effectiveness of CDDRC in promoting abstinence among the participants was minimal. This highlights the necessity of reassessing support and investment in these interventions and considering more evidence-informed alternative approaches in Iran.

Prevalence of acquired and transmitted HIV drug resistance in Iran: a systematic review and meta-analysis.

BACKGROUND: There is no systematic review on the prevalence of HIV drug resistance (HIVDR) in Iran. We aimed to estimate the prevalence of HIVDR among people living with HIV (PLHIV) in Iran. We assessed HIVDR prevalence in antiretroviral therapy (ART) naïve PLHIV (i.e., those without a history of ART) and PLHIV receiving ART. METHOD: We systematically searched Scopus, PubMed, Web of Science, Embase, Iranian databases (Iranian Medical Research Information System, Magiran, and Scientific Information Database), the references of studies, and Google Scholar until March 2023. A random-effects model was used to calculate a point estimate and 95% confidence interval (95% CI) for the prevalence of HIVDR in PLHIV. RESULTS: Among 461 potential publications, 22 studies were included in the meta-analysis. The pooled prevalence of acquired HIVDR in PLHIV receiving ART was 34% (95% CI: 19, 50) for nucleoside/nucleotide reverse transcriptase inhibitors (NRTIs), 27% (95% CI: 15, 41) for non-nucleoside reverse transcriptase inhibitors (NNRTIs), and 9% (95% CI: 3, 18) for protease inhibitors (PIs). The pooled prevalence of acquired HIVDR in treatment failure PLHIV was 50% (95% CI: 31, 69) for NRTIs, 49% (95% CI: 29, 69) for NNRTIs, 11% (95% CI: 2, 24) for PIs, and 1% (95% CI: 0, 4) for integrase inhibitors (INIs). The pooled prevalence of transmitted HIVDR in ART-naïve people was 3% (95% CI; 1, 6) for NRTIs, 5% (95% CI: 2, 9) for NNRTIs, and 0 for PIs and INIs. CONCLUSION: The prevalence of HIVDR was relatively high in both ART-naïve PLHIV and those receiving ART. Without universal pretreatment HIVDR testing and more frequent routine HIV viral load testing among PLHIV who are on ART, the HIVDR prevalence might increase in PLHIV in Iran.

Medication adherence in patients with mental disorders: A systematic review and meta-analysis of telemedicine interventions.

BACKGROUND AND OBJECTIVE: Telemedicine interventions have emerged as a promising solution to improve medication adherence by providing remote support and monitoring of patients with mental disorders. This study aims to investigate the effectiveness of telemedicine interventions in enhancing medication adherence among patients with mental disorders. METHODS: PubMed, Scopus, and Web of Science were searched systematically. After deleting the double-included studies, two researchers independently selected articles and extracted data using a standardized data collection form. The risk of bias in the included studies was assessed using the Mixed Methods Appraisal Tool. The intervention effects were combined using a random effects model. Standardized mean differences (Hedges's g) between the treatment and control groups were calculated. Heterogeneity variance was estimated using the Q test and I2 statistic. The analysis was performed in Stata version 17.0. RESULTS: Out of the 1088 articles retrieved, nine studies were included in the analysis. Overall, telemedicine interventions demonstrated a statistically significant improvement in medication adherence among patients with mental disorders (Hedges' g = 0.25, 95% confidence interval: 0.12-0.38, p-value: < 0.01). The type of mental disorder was a significant moderator of the heterogeneity between studies (p = 0.022). CONCLUSION: Telemedicine interventions have a positive impact on medication adherence in patients with mental disorders by offering remote support and monitoring. Integrating telemedicine into mental healthcare can enhance overall adherence rates, leading to improved management of mental disorders.

Prevalence of HIV, hepatitis B virus, hepatitis C virus, drug use, and sexual behaviors among street children in Iran: A systematic review and meta-analysis.

Background and Aims: Street children face a disproportionately higher risk of human immunodeficiency virus (HIV), hepatitis B virus (HBV), and hepatitis C virus (HCV) due to high-risk sexual and drug use practices. We aimed to estimate the prevalence of these infections and related risk behaviors among street children in Iran. Methods: We searched PubMed, Web of Science (ISI), Embase, Scopus, and Google Scholar for the English-language records and Iranian databases, including SID, Magiran, and IRANDOC for the Farsi-language records up to September 18, 2022. Random effects analysis was used to obtain prevalence estimates for each condition. Homogeneity across included studies was assessed using I 2. Results: We extracted data from 18 eligible studies, representing 5646 children (83.2% boys), with a mean age of 10.2 (range: 5-18). The prevalence of HIV, HBV, and HCV were 0.79% (95% confidence intervals [CIs]: 0.0-5.56), 1.97% (95% CI: 1.01-3.19), and 1.88% (95% CI: 0.74-3.46), respectively. The prevalence of lifetime drug use and sexual abuse was 8.32% (95% CI: 4.83-12.62) and 10.18% (95% CI: 3.02-20.67) among street children, respectively. Conclusion: The estimated prevalence of HIV, HBV, and HCV among street children in Iran was higher than the estimates in the general population. Moreover, drug use and the experience of sexual abuse were prevalent among this population. These findings suggest the need for targeted prevention programs for street children in Iran.

Injection cessation and relapse to injection and the associated factors among people who inject drugs in Iran: The Rostam study.

BACKGROUND: Drug injection is a major health-related problem worldwide. Injection cessation and relapse to injection could significantly alter the risk of HIV and hepatitis C virus (HCV) among people who inject drugs (PWID). This study aimed to estimate the rate of injection cessation and relapse to injection among PWID in Iran. METHODS: This cohort study was conducted from 2018 to 2021 in the cities of Kerman and Tehran. Using a respondent-driven sampling (RDS) approach, 118 PWID with a history of injection in the last six months and negative HIV and HCV tests were recruited. Follow-up visits occurred every three months over a period of one year. Participants were interviewed and tested for HIV and HCV using rapid tests. Injection cessation was defined as the no injection of any type of drugs in the last three months. Relapse to injection was defined as re-initiating drug injection among those who had ceased injection. Two separate Cox regression models were applied, and an adjusted hazard ratio (aHR) with a 95% confidence interval (CI) were measured to assess the factors associated with each outcome. RESULTS: The rate of injection cessation was 26.1 (95% CI: 21.3, 32.0) per 100 person-years, and the rate of relapse to injection was 32.7 (95% CI: 24.7, 43.2) per 100 person-years. At the baseline interview, 39.8% (n = 47) of participants reported injection cessation in the past three months before the interview. In the multivariable Cox regression analysis, the rate of relapse to injection was greater among women (aHR = 1.58; 95% CI: 1.01, 2.52), and those with higher monthly income (aHR = 1.63; 95% CI: 1.03, 2.59). However, there was no significant variable that predicted injection cessation. CONCLUSION: Injection cessation was common among PWID in Iran, however, one-third relapsed to injection shortly after cessation. Harm reduction programs should include comprehensive strategies to reduce the probability of relapse among PWID who achieve injection cessation.

Awareness and willingness to use HIV self-testing among people who inject drugs in Iran.

BACKGROUND: Most people who inject drugs (PWID) in Iran have not undergone recent HIV testing. While PWID face barriers when seeking HIV testing at health facilities, HIV self-testing (HIVST) could be a promising approach to improve HIV testing uptake. We examined the awareness and willingness to use HIVST among PWID in Iran. We also identified participants' characteristics associated with a higher willingness to use HIVST. METHODS: PWID were recruited in 11 cities using a respondent-driven sampling method. Willingness to use HIVST was defined as a binary variable (very low/low willingness vs. high/very high willingness). We performed multivariable modified Poisson regression to examine associated factors and report adjusted prevalence ratios (aPR) and 95% confidence intervals (CI). RESULTS: Of 2,252 PWID, 362 (16.2%; 95% CI 14.7, 17.8) had ever heard of HIVST; however, 1,658 (73.6%; 95% CI 71.7, 75.4) reported high/very high willingness to use HIVST. Willingness to use HIVST was higher among PWID who reported having a high/moderate HIV risk perception (aPR 1.22; 95% CI 1.09, 1.37), ever experiencing homelessness (aPR 1.15; 95% CI 1.03, 1.28), > 10 years of injecting history (aPR 1.16; 95% CI 1.00, 1.34), and high injection frequency in the last three months (aPR 1.18; 95% CI 1.05, 1.32). CONCLUSION: Most PWID in Iran, particularly those experiencing homelessness, have a longer injecting history, engage in more frequent injection practices, and possess a heightened perception of HIV risk would be willing to adopt HIVST. Enhancing HIVST awareness through increased access to HIVST and health education programs are needed. Additionally, conducting implementation science studies to effectively design and run HIVST programs in Iran can also increase PWID's access to HIV testing.

Machine learning for prediction of viral hepatitis: A systematic review and meta-analysis.

BACKGROUND: Lack of accurate and timely diagnosis of hepatitis poses obstacles to effective treatment, disease progression prevention, complication reduction, and life-saving interventions of patients. Utilizing machine learning can greatly enhance the achievement of timely and precise disease diagnosis. Therefore, we carried out this systematic review and meta-analysis to explore the performance of machine learning algorithms in predicting viral hepatitis. METHODS: Using an extensive literature search in PubMed, Scopus, and Web of Science databases until June 15, 2023, English publications on hepatitis prediction using machine learning algorithms were included. Two authors independently extracted pertinent information from the selected studies. The PRISMA 2020 checklist was followed for study selection and result reporting. The risk of bias was checked using the International Journal of Medical Informatics (IJMEDI) checklist. Data were analyzed using the 'metandi' command in Stata 17. RESULTS: Twenty-one original studies were included, covering 82 algorithms. Sixteen studies utilized five algorithms to predict hepatitis B. Ten studies used five algorithms for hepatitis C prediction. For hepatitis B prediction, the SVM algorithms demonstrated the highest sensitivity (90.0%; 95% confidence interval (CI): 77.0%-96.0%), specificity (94%; 95% CI: 90.0%-97.0%), and a diagnostic odds ratio (DOR) of 145 (95% CI: 37.0-559.0). In the case of hepatitis C, the KNN algorithms exhibited the highest sensitivity (80%; 95% CI:30.0%-97.0%), specificity (95%; 95% CI: 58.0%-99.0%), and DOR (72; 95% CI: 3.0-1644.0) for prediction. CONCLUSION: SVM and KNN demonstrated superior performance in predicting hepatitis. The proper algorithm along with clinical practice could improve hepatitis prediction and management.