Prevalence of Needlestick Injuries among Iranian Nurses: A Systematic Review and Meta Analysis.

Background: Injuries caused by sharp objects are a major health risk for nurses. These injuries can be extremely dangerous and lead to various diseases. The purpose of this study was to establish the pooled prevalence of Needle Stick Injuries (NSIs) among nurses in Iran. Materials and Methods: This study was a systematic review and meta-analysis. Eligible articles were searched from five electronic databases (Scientific Information Database (SID), Magiran, Web of Science, PubMed, and Scopus) and one search engine. A random effects model was conducted to estimate the pooled prevalence. The heterogeneity of the sample was tested using the I2 index, and the meta-regression function was used to evaluate variables suspected of heterogeneity at the 0.05 significance level. Finally, 21 articles were analyzed using the Comprehensive Meta-Analysis software (ver. 2.2.064). Results: Based on the random-effects model, the frequency of NSIs among Iranian nurses is 18.70% (95% CI: 15.10%-22.90%). The highest frequency is recorded in a teaching hospital in Tehran in 2007 (19.80%; 95% CI: 16.40%-23.70%), and the lowest frequency was recorded in a teaching hospital in Tehran in 2008 (17.90%; 95% CI: 14.60%-21.80%). Sample size, mean age, and work experience were significantly associated with and mean and frequency of NSIs in nurses (p < 0.05). Conclusions: NSIs occur in about one-fifth of nurses in Iranian hospitals. In addition to its cost burden, the increase in NSIs has negative consequences for nurses. Therefore, health policymakers and managers must take serious action to reduce these injuries.

Predictors of COVID-19-related health anxiety among health care workers: a cross-sectional study.

BACKGROUND: One of the psychological issues that may affect health care workers (HCWs) during the outbreak of COVID-19 is health anxiety. Health anxiety disorder goes beyond normal health concerns and can seriously affect occupational and interpersonal performance. The present study was designed to determine the level of COVID-19-related health anxiety and its predictors in Iranian HCWs. METHODS: This is a cross-sectional study. Data were collected online through a demographic information questionnaire and the short version of the Health Anxiety Questionnaire. The online questionnaires were created via Google Form and the URL link was sent to HCWs via email or social networking applications. In total, questionnaires were sent to more than 1,500 HCWs throughout Iran. Data were analyzed with SPSS software version 23. RESULTS: Five hundred and fifty-two HCWs completed and sent the questionnaires. The mean scores of health anxiety of HCWs were higher than the cutoff point of health anxiety (17.28 ± 8.84) and 58.1% of HCWs had health anxiety. There was a significant inverse relationship between health anxiety score and age (r = - 0.13; P = 0.002), work experience (r = - 0.16; P < 0.001) and income level (r = - 0.097; P = 0.03). The rate of health anxiety was significantly higher in females (P = 0.03). Based on regression results, age and hospital category were significant risk factors for health anxiety. CONCLUSION: Based on the results of this study, employees working in health centers in Iran had high health anxiety. Due to the high level of health anxiety in HCWs, it is important to consider strategies to reduce their health anxiety in the current situation.

The main factors of supplier-induced demand in health care: A qualitative study.

BACKGROUND: Induced demand is a major challenge for financing health promotion, whereby providers exploit patients' information gap to manipulate their demand for health care. The purpose of this study was to identify the factors associated with induced demand for health-care services in hospitals affiliated with Iran University of Medical Sciences (IUMS) in 2018. MATERIALS AND METHODS: In this qualitative study, semi-structured interviews were conducted with 20 participants from IUMS hospitals, including faculty members, physicians, public hospital managers, patients, and researchers with academic and practical experience. Inductive content analysis was used to analyze the data. RESULTS: Overall, 24 subthemes or factors were identified and classified into the health system, the insurer, health-care provider, and health-care recipient themes. Poor monitoring and control, the fee-for-service payment system, limited role of insurance companies, insufficient monitoring of insurance companies, the educational nature of our health centers, health-care providers' interests, and patients' information gap were some important factors in induced demand for health-care services. CONCLUSION: Our results showed that there are many factors that contribute to induced demand for health care. Given the four levels of factors identified in this study, health policymakers and managers must develop strategies at each level to reduce induced demand for health care.