Physicians' Perspectives with the E-prescribing System in Five Teaching Hospitals.

OBJECTIVES: Despite the evidence suggesting the potential of electronic prescribing (e-prescribing), this system also faces challenges that can lead to inefficiency and even failure. This study aimed to evaluate physicians' perspectives on the efficiency, effectiveness, opportunities, and challenges associated with the e-prescribing system. METHODS: In 2023, a descriptive analytics cross-sectional study was carried out. Due to the finite population size, all the physicians from five studied hospitals who agreed to participate in the study were included through the census method (n = 195). Data collection was conducted using a validated questionnaire. Data were analyzed using descriptive (mean, standard deviation, and frequency) and analytical (Pearson's correlation coefficient, two-sample t-test, one-way analysis of variance (ANOVA), and linear multiple regression model) statistics. RESULTS: The mean scores of efficiency and effectiveness were 47.47 ± 14.46 and 36.09 ± 10.67 out of 95 and 65, respectively. Removing the illegibility of the prescriptions (n = 22) was the most frequent opportunity and internet connectivity problem (n = 37) was the most frequent challenge associated with the e-prescribing system. There was a strong positive significant correlation between efficiency and effectiveness (r = 0.850, p < 0.01). Moreover, age was found to have a significant negative correlation with efficiency (B = -7.261, p = 0.004) and effectiveness (B = - 5.784, p = 0.002). CONCLUSION: Physicians believe that e-prescribing enhances the efficiency and effectiveness of their work. There are many opportunity and challenges to the use of e-prescription. Assessing the needs of physicians, actively participating and training them in the stages of design and implementation, and conducting regular evaluations of the e-prescribing system are crucial to overcome the challenges. Our finding offers insightful information about how doctors see the e-prescribing system at teaching hospitals and provide a basis for managers and policy makers at the local and national levels to support the implementation of this system and plan for improvement of its shortcomings.

Patients' perceptions, experiences, and satisfaction with e-prescribing system: A cross-sectional study.

INTRODUCTION: Electronic prescribing (e-prescribing) systems have the potential to increase the quality of care and reduce costs. Officially, since 22 December 2021, e-prescribing has been mandated in Iran. This study aimed to investigate the patients' perceptions about the e-prescribing system. METHODS: A descriptive-analytic cross-sectional study was conducted in 2023. The study sample comprised 394 patients who were referred to the pharmacies of five teaching hospitals. The sample size was estimated using Cochran's formula. Data collection was performed using a researcher-made questionnaire. The data were analyzed using descriptive (mean, standard deviation, frequency, and percentage) and analytic (Pearson and Spearman correlation, One-way ANOVA, and two-sample t-test) statistics. RESULTS: About 85 % of the patients were aware of the e-prescribing system, and 70 % of them preferred the e-prescribing. Almost 57 % of the patients believed that e-prescribing did not impact their medication adherence. The mean score of patients' satisfaction with e-prescribing, patients' attitude toward e-prescribing, and the impact of e-prescribing on patient care was 3.91 ± 0.046, 3.45 ± 0.028, and 3.10 ± 0.050 out of 5, respectively. There was a significant fair correlation between the impact of e-prescribing on patient care and patients' attitude towards e-prescribing. Additionally, there was a significant but poor correlation between patient satisfaction with the impact of e-prescribing on patient care and patients' attitude toward e-prescribing (P < 0.05). CONCLUSION: The majority of the patients demonstrated awareness of the e-prescribing system and expressed a preference for electronic prescribing. Patients reported overall positive satisfaction, as well as relatively positive perceptions and experiences with the evaluated e-prescribing system. From the patients' perspective, receiving the e-prescribing tracking code through SMS was the most popular method for tracking their prescriptions. A greater focus on patient engagement and considering their requirements and needs in the system are crucial to improve the delivery of patient-centered care.

Prevalence of maternal mortality causes based on ICD-MM: a systematic review and meta-analysis.

BACKGROUND: Maternal mortality is a universal public health challenge. ICD-Maternal Mortality (ICD-MM) was introduced in 2012 to facilitate the gathering, analysis, and interpretation of data on maternal deaths worldwide. The present study aimed to estimate the global prevalence of maternal death causes through a systematic review and meta-analysis. METHODS: A systematic literature search was conducted using various databases, including Web of Science, PubMed, Scopus, ScienceDirect, Cochrane Library, as well as Persian databases such as MagIran and Scientific Information Database (SID). The search encompassed articles published until August 21, 2022. Thirty-four eligible articles were included in the final analysis. Analysis was performed using a meta-analysis approach. The exact Clopper-Pearson confidence intervals, heterogeneity assessment, and random effects models with Mantel-Haenszel methods were employed using the STATA software version 14.2. RESULTS: The most prevalent causes of maternal deaths, listed in descending order from highest to lowest prevalence, were non-obstetric complications (48.32%), obstetric hemorrhage (17.63%), hypertensive disorders of pregnancy, childbirth, and the puerperium (14.01%), other obstetric complications (7.11%), pregnancy with abortive outcome (5.41%), pregnancy-related infection (5.26%), unanticipated complications of management (2.25%), unknown/undetermined causes (2.01%), and coincidental causes (1.59%), respectively. CONCLUSION: Non-obstetric complications, obstetric hemorrhage, and hypertensive disorders of pregnancy, childbirth, and puerperium were the most common causes of maternal deaths. To reduce the burden of maternal mortality causes, increasing awareness and promoting self-care management among women of reproductive age, and implementing effective screening mechanisms for high-risk mothers during pregnancy, childbirth, and the puerperium can play a significant role. ICD-MM enables the uniform collection and comparison of maternal death information at different levels (local, national, and international) by facilitating the consistent collection, analysis, and interpretation of data on maternal deaths. Our findings can be utilized by policymakers and managers at various levels to facilitate necessary planning aimed at reducing the burden of maternal mortality causes.

Security, confidentiality, privacy and patient safety in the hospital information systems from the users' perspective: A cross-sectional study.

INTRODUCTION: Patient safety maintenance and improvement is an expected core function of Hospital Information Systems (HISs). Patient safety can be affected by the privacy, confidentiality, and security of patient information. This study aimed to evaluate the security, confidentiality, privacy, and patient safety in the HISs from the users' perspective. METHODS: A descriptive, analytical, cross-sectional study was conducted in five teaching hospitals affiliated with Zahedan University of Medical Sciences in 2022. The research population consisted of users of HISs in the nursing, medical records, radiology, laboratory, and pharmacy departments. The sample included 397 participants. The data were collected using a researcher-made questionnaire and analyzed with the SPSS software using descriptive (mean, standard deviation, frequency, and percentage) and analytical (Pearson, Spearman, and chi-square tests) statistics. RESULTS: The mean score of patient information privacy, confidentiality, security, and patient safety was 3.19 ± 0.585, 2.48 ± 1.143, 2.53 ± 0.940, and 2.60 ± 0.959, respectively. Patient safety had a strong positive correlation with security and confidentiality, and a moderate positive correlation with patient information privacy (P < 0.05). CONCLUSION: The given HISs were at a relatively desirable level in terms of information privacy, security, and patient safety and at an undesirable level concerning confidentiality from the users' perspective. Developing guidelines and regulations regarding the privacy, confidentiality, security, and patient safety of HISs, supervising their implementation by responsible agencies and departments, and educating and training healthcare professionals about these concepts are essential to improve the existing situation in HISs of the evaluated hospitals.

Metal-organic frameworks for pharmaceutical and biomedical applications.

Metal-organic framework (MOF) materials provide unprecedented opportunities for evaluating valuable compounds for various medical applications. MOFs merged with biomolecules, used as novel biomaterials, have become particularly useful in biological environments. Bio-MOFs can be promising materials in the global to avoid utilization above toxicological substances. Bio-MOFs with crystallin and porosity nature offer flexible structure via bio-linker and metal node variation, which improves their wide applicability in medical science.

Quality of death certificates completion for COVID-19 cases in the southeast of Iran: A cross-sectional study.

Background and Aim: Death certificate (DC) data provides a basis for public health policies and statistics and contributes to the evaluation of a pandemic's evolution. This study aimed to evaluate the quality of the COVID-19-related DC completion. Methods: A descriptive-analytical study was conducted to review a total of 339 medical records and DCs issued for COVID-19 cases from February 20 to September 21, 2020. A univariate analysis (χ 2 as an unadjusted analysis) was performed, and multiple logistic regression models (odd ratio [OR] and 95% confidence interval [CI] as adjusted analyses) were used to evaluate the associations between variables. Results: Errors in DCs were classified as major and minor. All of the 339 examined DCs were erroneous; more than half of DCs (57.8%) had at least one major error; all of them had at least one minor error. Improper sequencing (49.3%), unacceptable underlying causes of death (UCOD) (33.3%), recording more than one cause per line (20.1%), listing general conditions instead of specific terms (11.2%), illegible handwriting (8.3%), competing causes (6.2%), and mechanisms (3.8%) were most common major errors, respectively. Absence of time interval (100%), listing mechanism allying with UCOD (51.6%), using abbreviations (45.4%), missing major comorbidities (16.5%), and listing major comorbidities in part I (16.5%) were most common minor errors, respectively. Conclusion: The rate of both major and minor errors was high. Using automated tools for recording and selecting death cause(s), promoting certifiers' skills on DC completion, and applying quality control mechanisms in DC documentation can improve death data and statistics.

Death certificate errors in three teaching hospitals of Zahedan, southeast of Iran.

Accurate completion of death certificates is of critical importance for public health policy and statistical purposes. In assessing 936 available death certificates, most contained one or more errors. Minor errors (e.g. absence of time intervals) were more common than major errors (e.g. the use of general terms instead of specific conditions). Providing education, complying with standards established by the World Health Organization, applying quality control of death certificates, and correcting deficient death certificates in the hospitals seem necessary to inform the effectiveness of public health programs, future health policies, quality health planning, and prioritization of health and medical research programs.

Affecting factors of cloud computing adoption in public hospitals affiliated with Zahedan University of Medical Sciences: A cross-sectional study in the Southeast of Iran.

OBJECTIVE: Health care organizations require cloud computing to remain efficient and cost-effective, and provide high-quality health care services. Adoption of this technology by users plays a critical role in the success of its application. This study aimed to determine factors affecting cloud computing adoption in public hospitals affiliated with Zahedan University of Medical Sciences. METHODS: A cross-sectional descriptive and analytic study was performed in 2017. The study population comprised information technology and hospital information system authorities and hospital information system users. The sample consisted of 573 participants. The data were collected using a questionnaire and analyzed with the Statistical Package for Social Sciences software using descriptive and analytical statistics. RESULTS: The mean score of environmental, human, organizational, technological, and intention dimensions of cloud computing adoption was 3.39 ± 0.81, 3.27 ± 0.63, 3.19 ± 0.71, 3 ± 0.43, and 3.55 ± 1.10, respectively. Furthermore, a significant positive relationship was found between intention of cloud computing adoption and environmental (R = 0.521, p = 0.000), organizational (R = 0.426, p = 0.000), human (R = 0.492, p = 0.000), and technological dimensions (R = 0.157, p = 0.000). CONCLUSIONS: Benefits of cloud computing adoption, relative advantage, and competitive pressure were identified as the most influential factors in accepting cloud computing. Simplifying the users' understanding of this technology and its application, improving the staff's technical capabilities, promoting executive managers' understanding of the nature and functions of cloud computing, and fully supporting and increasing governmental mandates for adoption of new technologies are necessary for facilitating the adoption of cloud computing in given hospitals.

Concentrations and health effects of short- and long-term exposure to PM2.5, NO2, and O3 in ambient air of Ahvaz city, Iran (2014-2017).

The primary objective of the present study was to evaluate the concentrations and short and long-term excess mortality attributed to PM2.5, NO2, and O3 observed in ambient air of Ahvaz during March 2014 to March 2017 period using the AirQ + software developed by the World Health Organization (WHO), which is updated in 2016 by WHO European Centre for Environment and Health. The hourly concentrations of PM2.5, O3, and NO2 measured at different regulatory monitoring network stations in Ahvaz city were obtained from the Department of Environment (DOE) of the city. Then, for various air quality monitoring stations, the 24-h average concentration of PM2.5, 1-h average of NO2 concentration, and maximum daily 8-h O3 concentrations were calculated using Excel 2010 software. When the maximum daily 8-h ozone means exceeding the value of 35, it was subtracted from 35 to calculate SOMO35 indicator for modeling. Validation of air quality data was performed according to the Aphekom and WHO's methodologies for health impact assessment of air pollution. Year-specific city population and baseline incidence of the health outcomes were obtained. The three-year averages of PM2.5, NO2, and O3 concentrations were 68.95 (±39.86) µg/m3, 135.90 (±47.82) µg/m3, and 38.63 (±12.83) parts-per-billion-volume (ppbv), respectively. SOMO35 values of ozone were 6596.66, 3411.78, and 470.88 ppbv in 2014-2015, 2015-2016, and 2016-2017 years, respectively. The AP and number of natural deaths due to NO2 were higher than PM2.5 except the last year (2016-2017), causing about 39.18%, 40.73%, and 14.39% of deaths within the first, the second, and the third year, respectively. However, for the last year, the natural mortality for PM2.5 was higher than NO2 (34.46% versus 14.39%). The total number of natural mortality caused by PM2.5 and NO2 in all years was 4061 and 4391, respectively. A significant number of deaths was estimated to be attributed to the given air pollutants. It can be concluded that by designing and implementing air pollution control strategies and actions, both health effects and economic losses will be prevented.

Factors Affecting Acceptance of Hospital Information Systems in Public Hospitals of Zahedan University of Medical Sciences: A Cross-Sectional Study.

A hospital information system is used to support a wide range of operations and activities in the hospital. This study was conducted to determine the factors affecting hospital information system acceptance by users. A cross-sectional, descriptive, analytic study was performed in 2018. The study population included 550 users of the system. The data were collected using a questionnaire and analyzed using the SPSS software. A significant moderate positive correlation was found between hospital information system acceptance and perceived usefulness (r = 0.54, P < 0.01), perceived ease of use (r = 0.41, P < 0.01), human factors (r = 0.46, P < 0.01) and technological factors (r = 0.54, P < 0.01). A significant weak positive correlation was detected between the acceptance of the hospital information system and organizational factors (r = 0.35, P < 0.01). Perceived usefulness of the system, social influence, system quality, perceived ease of use of the system, and top managers' supports had the most substantial influence on the users' intention to accept a hospital information system. User education, preparation of guidelines suited to the user specialty or department, incorporating users' work needs into the capabilities of the hospital information system, and improving the system to an ideal level are important considerations.

Success or failure of hospital information systems of public hospitals affiliated with Zahedan University of Medical Sciences: A cross sectional study in the Southeast of Iran.

INTRODUCTION: After implementation, evaluation of hospital information systems (HISs) is critical to ensure the fulfillment of the system goals. This study aimed to assess the success or failure of HISs in public hospitals affiliated with Zahedan University of Medical Sciences. MATERIALS AND METHODS: A cross-sectional descriptive and analytic study was performed in 2016. The study population comprised IT and HIS authorities and hospital information system users. The sample consisted of 468 participants. The data were collected using two questionnaires and analyzed with the SPSS software using descriptive and analytical statistics. RESULTS: The mean score of functional, behavioral, ethical, organizational, cultural and educational factors from the users' perspective was 3.14±0.66, 2.97± 0.60, 3.39±0.70, 2.96±0.642, 3.09±0.63, and 2.95±0.74, respectively. The mean score of organizational, behavioral, cultural, technological, educational and legal factors from IT and HIS authorities' perspective was 3.51±0.54, 3.35±0.45, 2.75±0.61, 3.58±0.32, and 3.96±0.59, respectively. CONCLUSIONS: The evaluated hospital information systems were considered relatively successful in terms of functional, ethical, and cultural factors but were considered as a relative failure in terms of behavioral, organizational, and educational factors form the users' perspective. Only the legal factor showed success, while organizational, behavioral, technical and educational factors showed relative success and the cultural factor showed relative failure from HIS and IT authorities' perspective. Therefore, assessing the users' needs before implementing the system, involving them in various stages of implementation, training them, and improving their computer skills seem to be necessary to achieve a better level of system success.

Information management in Iranian Maternal Mortality Surveillance System.

BACKGROUND: Maternal mortality is preventable by proper information management and is the main target of the Maternal Mortality Surveillance System (MMSS). AIM: This study aimed to determine the status of information management in the Iranian Maternal Mortality Surveillance System (IMMSS). METHODS: The population of this descriptive and analytical study, which was conducted in 2016, included 96 administrative staff of health and treatment deputies of universities of medical sciences and the Ministry of Health in Iran. Data were gathered by a five-part questionnaire with confirmed validity and reliability. A total of 76 questionnaires were completed, and data were analyzed using SPSS software, version 19, by descriptive and inferential statistics. The relationship between variables "organizational unit" and the four studied axes was studied using Kendall's correlation coefficient test. RESULTS: The status of information management in IMMSS was desirable. Data gathering and storage axis and data processing and compilation axis achieved the highest (2.7±0.46) and the lowest (2.4±0.49) mean scores, respectively. The data-gathering method, control of a sample of women deaths in reproductive age in the universities of medical sciences, use of international classification of disease, and use of this system information by management teams to set resources allocation achieved the lowest mean scores in studied axes. Treatment deputy staff had a more positive attitude toward the status of information management of IMMSS than the health deputy staff (p=0.004). CONCLUSION: Although the status of information management in IMMSS was desirable, it could be improved by modification of the data-gathering method; creating communication links between different data resources; a periodic sample control of women deaths in reproductive age in the universities of medical sciences; and implementing ICD-MM and integration of its rules on a unified system of death.