Utilization of EHRs for clinical trials: a systematic review.

BACKGROUND AND OBJECTIVE: Clinical trials are of high importance for medical progress. This study conducted a systematic review to identify the applications of EHRs in supporting and enhancing clinical trials. MATERIALS AND METHODS: A systematic search of PubMed was conducted on 12/3/2023 to identify relevant studies on the use of EHRs in clinical trials. Studies were included if they (1) were full-text journal articles, (2) were written in English, (3) examined applications of EHR data to support clinical trial processes (e.g. recruitment, screening, data collection). A standardized form was used by two reviewers to extract data on: study design, EHR-enabled process(es), related outcomes, and limitations. RESULTS: Following full-text review, 19 studies met the predefined eligibility criteria and were included. Overall, included studies consistently demonstrated that EHR data integration improves clinical trial feasibility and efficiency in recruitment, screening, data collection, and trial design. CONCLUSIONS: According to the results of the present study, the use of Electronic Health Records in conducting clinical trials is very helpful. Therefore, it is better for researchers to use EHR in their studies for easy access to more accurate and comprehensive data. EHRs collects all individual data, including demographic, clinical, diagnostic, and therapeutic data. Moreover, all data is available seamlessly in EHR. In future studies, it is better to consider the cost-effectiveness of using EHR in clinical trials.

Does telehealth affect the adherence to ART among patients with HIV? A systematic review and meta-analysis.

BACKGROUND: Several studies have shown different effects of telehealth interventions on adherence to Antiretroviral therapy (ART) among people living with HIV. This study conducted a meta-analysis of Randomized Controlled Trials (RCTs) to estimate the pooled effect of telehealth interventions on the treatment adherence of HIV patients. METHODS: The researchers conducted literature searches in Scopus, PubMed, Web of Science, Google Scholar, and Cochrane Central Register of Controlled Trials databases. In addition, open grey was systematically searched until January 2022 for RCTs around the effects of telehealth on adherence to treatment ART among patients with HIV. Each study's methodological quality was assessed using the Cochrane Collaboration tool. Pooled Standard Mean Differences (SMD) and Risk Ratio (RR) with 95% CI were calculated using the random effects model. RESULTS: In total, 12 eligible articles were considered in the present systematic review. A random-effects meta-analysis using 5 RCTs yielded the pooled RR estimate of 1.18 (95% CI: 1.03 to 1.35, p < 0.05); I2 = 0, suggesting the adherence to treatment among patients with HIV who received telehealth intervention was significantly 18% upper than control groups. Moreover, the random effects analysis of SMD showed a positive effect for telehealth with SMR = 0.36 (95% CI: 0.22 to 0.49, p < 0.05); I2 = 91.9%, indicating that telehealth intervention increased ART adherence to the treatment group compared to the control group. CONCLUSION: Telehealth intervention as a new modality of health care service delivery could be a valuable strategy to improve ART adherence among patients with HIV. It can strengthen the capacity of HIV care services. On a large scale, telehealth can be utilized as a supplementary component for ART delivery and retention toward successful adherence to the therapy.

New approaches in developing medicinal herbs databases.

Medicinal herbs databases have become a crucial part of organizing new scientific literature generated in medicinal herbs field, as well as new drug discoveries in the information era. The aim of this review was to track the current status of medicinal herbs databases. Search for finding medicinal herbs databases was carried out via Google and PubMed. PubMed was searched for papers introducing medicinal herbs databases by the recruited search strategy. Papers with an active database on the web were included in the review. Google was also searched for medicinal herbs databases. Both retrieved papers and databases were reviewed by the authors. In this review, the current status of 25 medicinal herbs databases was reviewed, and the important characteristics of databases were mentioned. The reviewed databases had a great variety in terms of characteristics and functions. Finally, some recommendations for the efficient development of medicinal herbs databases were suggested. Although contemporary medicinal herbs databases represent much useful information, adding some features to these databases could assist them to have better functionality. This work may not cover all the necessary information, but we hope that our review can provide readers with fundamental concepts, perspectives and suggestions for constructing more useful databases.

A mobile app (IDoThis) for multiple sclerosis self-management: development and initial evaluation.

BACKGROUND: Multiple sclerosis (MS) is one of the most common neurological disorders worldwide, and self-management is considered an essential dimension in its control. This study aimed to develop an evidence-based mobile application for MS self-management and evaluate it. METHODS: This study was undertaken in three phases: content preparation, design, and evaluation. In the content preparation phase, the researchers extracted MS self-management needs based on related guidelines and guides, existing apps on the self-management of MS, and the field experts' views and confirmation. The design phase was conducted in five steps: defining app functionalities, depicting the wireframe, preparing the media, coding the app, and testing the app's performance. The app was developed using the Android Studio environment and Java programming language for the Android operating system. The performance of the developed app was tested separately in several turns, and existing defects were corrected in each turn. Finally, after using the app for three weeks, the app was evaluated for its short-term impact on MS management and user-friendliness using a researcher-constructed questionnaire from participants' (N = 20) perspectives. RESULTS: The IDoThis app is an offline app for people with MS that includes five main modules: three modules for training or informing users about different aspects of MS, one module for monitoring the user's MS condition, and a reporting module. In the initial evaluation of the app, 75% (n = 15) of participants mentioned that using this app improved MS self-management status at intermediate and higher levels, but 25% (n = 5) of the participants mentioned that the effect of using the app on the self-management tasks was low or was very low. The majority of users rated the user-friendliness of the app as high. The users found the sections "exercises in MS" and "monitoring of MS status" beneficial to their self-management. Still, the fatigue and sleep management sections are needed to meet users' expectations. CONCLUSION: Using IDoThis app as a self-management tool for individuals with MS appears feasible, that can meet the need for a free and accessible self-management tool for individuals with MS. Future directions should consider the users' fatigue and sleep management expectations.

How are ontologies implemented to represent clinical practice guidelines in clinical decision support systems: protocol for a systematic review.

BACKGROUND: Clinical practice guidelines are statements which are based on the best available evidence, and their goal is to improve the quality of patient care. Integrating clinical practice guidelines into computer systems can help physicians reduce medical errors and help them to have the best possible practice. Guideline-based clinical decision support systems play a significant role in supporting physicians in their decisions. Meantime, system errors are the most critical concerns in designing decision support systems that can affect their performance and efficacy. A well-developed ontology can be helpful in this matter. The proposed systematic review will specify the methods, components, language of rules, and evaluation methods of current ontology-driven guideline-based clinical decision support systems. METHODS: This review will identify literature through searching MEDLINE (via Ovid), PubMed, EMBASE, Cochrane Library, CINAHL, ScienceDirect, IEEEXplore, and ACM Digital Library. Gray literature, reference lists, and citing articles of the included studies will be searched. The quality of the included studies will be assessed by the mixed methods appraisal tool (MMAT-version 2018). At least two independent reviewers will perform the screening, quality assessment, and data extraction. A third reviewer will resolve any disagreements. Proper data analysis will be performed based on the type of system and ontology engineering evaluation data. DISCUSSION: The study will provide evidence regarding applying ontologies in guideline-based clinical decision support systems. The findings of this systematic review will be a guide for decision support system designers and developers, technologists, system providers, policymakers, and stakeholders. Ontology builders can use the information in this review to build well-structured ontologies for personalized medicine. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018106501.

Telehealth in Primary Health Care: A Scoping Review of the Literature.

Background: The use of telehealth as a viable mobility to deliver quality services steadily increases in various levels of the health system. Despite the increasing use of telemedicine in secondary and tertiary health care services, there is a long way to go in the use of this technology in public health and primary health care (PHC). This study aimed to explore the features, approaches, and various dimensions of telehealth in PHC. Methods: A scoping review was conducted using the Arksey and O'Malley framework. A search was conducted in three bibliographic databases including PubMed, Web of Sciences, and Scopus and in Google Scholar to collect papers published in November 2018 to 2000. Data were extracted according to a predefined form and check for completeness and accuracy by a second reviewer. Results: Through reviewing papers, the authors extracted information on the general characteristics and features of telehealth services, kinds of PHC services delivered via telehealth, hardware and software facilities used for providing health care through telehealth services packages, as well as their benefits, outcomes and obstacles. Conclusion: Telehealth can be used for different purposes of PHC through deploying a full range of communication channels available to the public. Due to the opportunistic use of existing devices and platforms, telehealth can provide scalable PHC services nationwide and worldwide. However, implementing telehealth in PHC faces challenges from technical, organizational, and human perspectives. Digital equity (in terms of technology access and e-health literacy) is required to expand telehealth services to the populations in underserved areas.

Exploring Self-management Needs of Persons With Multiple Sclerosis: A Qualitative Study for Mobile Application Development.

Background: Multiple sclerosis (MS) is a common cause of neurologic disability in young adults. Individuals with MS deal with the day-to-day effects of the disease on their lives. Self-management can help with these challenges. This study aimed to explore MS self-management needs according to experiences of persons with MS and was conducted as part of a research project to develop an MS self-management mobile application. Methods: We used a qualitative method to elicit self-management needs among 12 individuals with MS and conducted semistructured interviews with them. The participants were chosen based on snowball sampling. The interviews were recorded and transcribed verbatim. Finally, qualitative data were analyzed using a content analysis method (inductive way) to identify the underlying themes and subthemes. Results: The analysis resulted in the emergence of 7 themes: the source of information, basic needs, understanding MS, physical exercises in MS, useful nutrition in MS, MS monitoring, and communication. Within these 7 themes we identified 23 subthemes. Conclusions: The themes that emerged in this study show what needs are essential to help persons with MS improve their self-management capacity. These findings can help in the development of self-management mobile applications for supporting individuals in managing MS.

Burden of Transport-Related Injuries in the Eastern Mediterranean Region: A Systematic Analysis for the Global Burden of Disease Study 2017.

BACKGROUND: Transport-related injuries (TIs) are a substantial public health concern for all regions of the world. The present study quantified the burden of TIs and deaths in the Eastern Mediterranean region (EMR) in 2017 by sex and age. METHODS: TIs and deaths were estimated by age, sex, country, and year using Cause of Death Ensemble modelling (CODEm) and DisMod-MR 2.1. Disability-adjusted life years (DALYs), which quantify the total burden of years lost due to premature death or disability, were also estimated per 100000 population. All estimates were reported along with their corresponding 95% uncertainty intervals (UIs). RESULTS: In 2017, there were 5.5 million (UI 4.9-6.2) transport-related incident cases in the EMR - a substantial increase from 1990 (2.8 million; UI 2.5-3.1). The age-standardized incidence rate for the EMR in 2017 was 787 (UI 705.5-876.2) per 100000, which has not changed significantly since 1990 (-0.9%; UI -4.7 to 3). These rates differed remarkably between countries, such that Oman (1303.9; UI 1167.3-1441.5) and Palestine (486.5; UI 434.5-545.9) had the highest and lowest age-standardized incidence rates per 100000, respectively. In 2017, there were 185.3 thousand (UI 170.8-200.6) transport-related fatalities in the EMR - a substantial increase since 1990 (140.4 thousand; UI 118.7-156.9). The age-standardized death rate for the EMR in 2017 was 29.5 (UI 27.1-31.9) per 100000, which was 30.5% lower than that found in 1990 (42.5; UI 36.8-47.3). In 2017, Somalia (54; UI 30-77.4) and Lebanon (7.1; UI 4.8-8.6) had the highest and lowest age-standardized death rates per 100,000, respectively. The age-standardised DALY rate for the EMR in 2017 was 1,528.8 (UI 1412.5-1651.3) per 100000, which was 34.4% lower than that found in 1990 (2,331.3; UI 1,993.1-2,589.9). In 2017, the highest DALY rate was found in Pakistan (3454121; UI 2297890- 4342908) and the lowest was found in Bahrain (8616; UI 7670-9751). CONCLUSION: The present study shows that while road traffic has become relatively safer (measured by deaths and DALYs per 100000 population), the number of transport-related fatalities in the EMR is growing and needs to be addressed urgently.

Mobile applications for road traffic health and safety in the mirror of the Haddon's matrix.

BACKGROUND: Road traffic accidents have been one of the leading causes of death. Despite the increasing trend of road traffic apps, there is no comprehensive analysis of their features and no taxonomy for the apps based on traffic safety theories. This study aimed to explore the characteristics of available mobile apps on road traffic health/safety and classify them with emphasis on Haddon's matrix. METHODS: The researchers examined the mobile applications related to road traffic health/safety using qualitative content analysis. Google Play was searched using a combination of the keywords. Haddon's matrix was applied to analyze and classify those mobile apps residing in the categories of Road Traffic health & Safety, and Road Traffic Training. RESULTS: Overall, 913 mobile apps met the inclusion criteria and were included in the final analysis. Classification of the apps based on their features resulted in 4 categories and 21 subcategories. A total number of 657 mobile apps were classified based on Haddon's matrix. About 45.67% of these apps were categorized as the road traffic health & safety group. CONCLUSIONS: Haddon's matrix appears to have the potential to reveal the strengths and weaknesses of existing mobile apps in the road traffic accident domain. Future development of mobile apps in this domain should take into account the existing gap.

A scope of mobile health solutions in COVID-19 pandemics.

BACKGROUND AND AIM: COVID-19 has become an international emergency. The use of digital solutions can be effective in managing, preventing, and overcoming the further spread of infectious disease outbreaks. Accordingly, the use of mobile-health (m-health) technologies has the potential to promote public health. This review aimed to study the application of m-health solutions for the management of the COVID-19 outbreak. METHODS: The search strategy was done in Medline (PubMed), Embase, IEEE, and Google Scholar by using related keywords to m-health and COVID-19 on July 6, 2020. English papers that used m-health technologies for the COVID-19 outbreak were included. RESULTS: Of the 2046 papers identified, 16 were included in this study. M-health had been used for various aims such as early detection, fast screening, patient monitoring, information sharing, education, and treatment in response to the COVID-19 outbreak. M-health solutions were classified into four use case categories: prevention, diagnosis, treatment, and protection. The mobile phone-based app and short text massaging were the most frequently used modalities, followed by wearables, portable screening devices, mobile-telehealth, and continuous telemetry monitor during the pandemics. CONCLUSION: It appears that m-health technologies played a positive role during the COVID-19 outbreak. Given the extensive capabilities of m-health solutions, investigation and use of all potential applications of m-health should be considered for combating the current Epidemics and mitigating its negative impacts.

Development of a core data set for pelvic floor disorder patients registry.

OBJECTIVES: Pelvic floor disorders (PFDs) are important public health concerns due to their increasing prevalence. Hence, there is an increasing need for developing systematically collected quality data to assist appropriate clinical decision-making. This study aimed to develop a core data set for patients with PFDs based on the PFDs registry. METHODS: A descriptive cross-sectional study was conducted in 2019. Data were retrieved from electronic databases including PubMed, Embase and Google scholar. Available documents and data systems in clinical centers were also assessed. The Delphi technique was applied to reach a consensus about the data elements using a questionnaire. A panel of experts evaluated the content validity of the questionnaire. RESULTS: We developed a dataset for PFDs that included two classes of data (65 data items) identified from the related literature. In the Delphi survey, 74 data elements were determined by the experts and final data were divided into two demographic and clinical categories that included 12 and 62 data elements, respectively. CONCLUSIONS: This dataset has the potential for standardizing the data by providing accurate, consistent, complete and uniform data elements. Furthermore, it can provide valuable research facilities for clinicians and researchers in the healthcare system resulting in improvement of the quality of care and containment of costs.

Factors Influencing User Satisfaction with Information Systems: A Systematic Review.

User satisfaction has been considered as the measure of information system effectiveness success. User satisfaction is difficult to define but is considered an evaluation construct. Globally health organizations, particularly hospitals, invest a huge amount of money on information system projects. If hospital information systems (HISs) are to be successful, factors influencing or related to user satisfaction should be taken into account at the time of designing, developing or adopting such systems. The current study aimed to provide a comprehensive review of factors related to user satisfaction with information systems. The researchers systematically searched PubMed, Science Direct, and IEEE electronic databases for articles published from January 1990 to June 2016. A search strategy was developed using a combination of the following keywords: "model," "user satisfaction," "information system," "measurement," "instrument," and " tool." Reported dimensions, factors, and their possible influence on user satisfaction with information systems were extracted from the studies wherever was possible. Overall factors influencing user satisfaction with information systems can be categorized in seven dimensions: Information quality, system quality, vendor support quality, system use, perceived usefulness, user characteristics, and organizational structure & management style. If all these factors are considered properly in the process of developing, designing, implementing, or purchasing information systems, the higher user satisfaction with the system will be likely. Otherwise, it would end up with unsatisfied users that will finally contribute to the system failure.

Estimation of the preventable proportion of congenital anomalies by selected risk factors in mothers: A case study in Iran.

Background: Worldwide, 1-6 percent of infants have at least one congenital anomaly that can lead to long-term consequences. This may have significant impacts on individuals, families, health-care systems, and societies. The aim of this study was to estimate the Population Attributable Fraction (PAF) of some congenital anomalies by three selected risk factors (obesity, diabetes and smoking) in the northwest of Iran and to estimate the number of preventable defects at birth in the population if we could reduce 50 percent of the exposure rate to these three risk factors at population level. Methods: The regional data on smoking, obesity, and diabetes were entered in Population Estimate of Attributable Fraction of Congenital Conditions Everywhere (PEACE) software developed by International Clearinghouse for Birth Defects Surveillance and Research (ICBDSR). It calculates the PAF for congenital anomalies attributed to exposure to those three risk factors. Results: This study showed that main anomalies attributed to "obesity" include Spina Bifida 40.1% (95% CI: 31.7-47.7), Hydrocephaly 26.8 (95% CI: 9.3-42.3) and Anencephaly 17.4 (95% CI: 1.6-31.9). The highest attributable defect to "smoking" was Cleft lip w/out Palate 5.8% (95% CI: 4.3-7.4), whereas for "diabetes" it was Tetralogy of Fallot 33.3 (95% CI: 17.2-49.5). A similar pattern was found when assumed in the model, the impact of 50 percent reduction in the exposure to each of the risk factors on preventable cases of birth defects in the population. Conclusion: Obesity, diabetes, and smoking in women of childbearing age increased the risk of occurrence of congenital anomalies. However, obesity and diabetes had a remarkably greater impact compared to smoking. More studies are needed to investigate the role of passive smoking as a risk factor for the occurrence of birth defects.

Mobile Applications for Multiple Sclerosis: a Focus on Self-Management.

INTRODUCTION: The explosion of mobile phone users along with the importance of user's role in managing their health provides a unique opportunity for m-Health applications in the management of chronic illnesses such as Multiple sclerosis (MS). AIM: To identify available MS applications and to characterize the content of MS self-management applications. METHODS: Two popular online application stores (iTunes, Google play) were searched for multiple sclerosis -related apps using the following keywords: multiple sclerosis, disseminated multiple sclerosis, disseminated sclerosis, and MS. Apps were considered eligible if they had been customized only on multiple sclerosis. First, data was extracted from the description page for any eligible application. To achieve the study goal, the secondary analysis was performed only for self-management applications. RESULTS: Search of two popular markets identified 1042 applications (747 applications from Google play, and 295 applications from iTunes). Of these, 104 unique applications met the inclusion criteria. Almost a quarter of eligible applications (26%) had been designed for multiple sclerosis self-management. Other purposes of the identified applications were diagnosing & treating (7.7%), doing tests (7.7%), connecting & communication for MS patients (4.8%), raising awareness of multiple sclerosis (15.4%), accessing to journals & news (6.7%), conferences & meetings (17.3%), supporting & donating to MS community (14.4%). CONCLUSION: It appears the mobile applications provide a multidimensional tool for patient with Multiple Sclerosis to improve their condition self-management. These applications can contribute to empowerment of the patients, and help their adherence to the therapeutic and management regimen of their conditions. Moreover, they can be utilized to collect information on the MS progress pattern in personal level for each individual patient. This information may provide health care professionals with evidence to help their patients toward enhancing self-management of their disease.

Defining a Core Data Set for Registry of Esophageal Atresia in the Northwest of Iran.

Defining the core data set is the main step for establishing a registry system. The aim of this study was to define the core data set for the registry of esophageal atresia in the northwest of Iran. METHODS: First, the preliminary list of data elements was extracted from the related registries of other countries, as well as from the literature. Then, a group of multidisciplinary experts was asked to score the tabulated list of data elements in terms of their importance using a 5-point Likert scale through a dual-round Delphi technique. Availability of data was assessed through a medical record review of 410 patients with esophageal atresia who had been hospitalized between March 2006 and March 2016 in Tabriz Children's Hospital. RESULTS: The main classes of data were defined, including maternal information, patient demographics, clinical information, complications, and follow-up data. Thirty-two of 51 data elements (the core data elements) had 100% availability. Demographic data were completely available for 60% of the data elements. For clinical data, the availability rate was above 75%, while for complications and follow-up, it was 100% (except for the weight and height). In the category of maternal data, no data was available on the genetic screening and amniocentesis. CONCLUSION: This study presents the core data set required for establishing an esophageal atresia registry in the northwest of Iran. A considerable number of identified cases and high availability of patient data indicated the feasibility of establishing the first esophageal atresia registry in the area.

Induced Abortion: a Systematic Review and Meta-analysis.

BACKGROUND: Induced abortion accounts for 1 in 8 of approximately 600000 maternal deaths that occur annually worldwide. Induced abortion rate can be considered as one of the indicators for assessing availability of the appropriate reproductive health plans for women and identifying needs for appropriate related health policies and programs. MATERIAL AND METHODS: Researchers searched Pubmed, Google Scholar, CINAHL, Embase, PsycINFO, Cochrane, Iranian Scientific Information Database (SID), Iranian biomedical journals (Iranmedex), and Iranian Research Institute of Information and Documentation (Irandoc) between January 2000 and June 2013, which reported induced abortion. Search terms from two categories including abortion and termination of pregnancy were compiled. The search terms were "induced abortion", "illegal abortion", "illegal abortion", "unsafe abortion", and "criminal abortion". The search was also conducted with "induced termination of pregnancy", "illegal termination of pregnancy", "illegal termination of pregnancy", "unsafe termination of pregnancy" and "criminal termination of pregnancy". Meta-analysis was carried out by using OpenMeta software. Induced abortion rates were calculated based on the random effect model. RESULTS: Overall induced abortion rate was obtained 58.1 per 1000 women (95%CI: 55.16-61.04). In continental level, rate of induced abortion was 14 per 1000 women (95%CI: 11-16). Nation-wide and local rates were obtained 67.27 per 1000 women (95% CI: 60.02-74.23) and 148.92 (95% CI: 140.06-157.79) respectively. DISCUSSION AND CONCLUSION: Induced abortion is a major public health problem that occurs worldwide whether under the legal restriction or freedom, and it remains as reproductive health concern globally. To eliminate the need for induced abortion is at the core of any effort for preventing this issue. Option with the highest priority is to prevent unwanted pregnancies through promoting reproductive health plans for women of reproductive age. In case the prevention strategies fail, universal provision of safe abortion services should be put in place.

Exploring Complexity of Deliberate Self-Poisoning through Network Analysis.

The purpose of this research was to examine the complexity of circumstances that result in deliberate self-poisoning cases. For the purposes of this paper, the cases were patients that presented for care and were admitted to the specialty hospital in Northwest of Iran. The research examined the problems preceding deliberate self-poisoning and the interrelations among them by applying network analysis methods. The network was scored for degrees of centrality and betweenness centrality. Structural analysis of network also was conducted using block modelling. The results showed that family conflicts had the highest score for degree of centrality among women, while the highest score for degree of centrality among men belonged to those dealing with drug addiction. Analysis for degree of betweenness centrality revealed that drug addiction had the highest score among men, whereas the highest score for women on betweenness centrality was related to physical illness. Structural analysis of the network showed differences in role that various problems played in intentional self-poisoning. The findings from this research can be used by public health authorities to create prevention programs that address the problems leading to deliberate self-poisoning.

Effect of Telehealth Interventions on Hospitalization Indicators: A Systematic Review.

BACKGROUND: Telehealth has been defined as the remote delivery of healthcare services using information and communication technology. Where resource-limited health systems face challenges caused by the increasing burden of chronic diseases and an aging global population, telehealth has been advocated as a solution for changing and improving the paradigm of healthcare delivery to cope with these issues. The aim of this systematic review is to investigate the effect of telehealth interventions on two indicators: hospitalization rate and length of stay. MATERIALS AND METHODS: The reviewers searched the PubMed, ScienceDirect, and Springer electronic databases from January 2005 to November 2013. A search strategy was developed using a combination of the following search keywords: impact, effect, telehealth, telemedicine, telecare, hospitalization, length of stay, and resource utilization. Both randomized controlled trials and observational studies were included in the review. To be included in the review, articles had to be written in English. The results of study were compiled, reviewed, and analyzed on the basis of the review aims. RESULTS: This systematic review examined 22 existing studies with a total population of 19,086 patients. The effect of telehealth on all-cause hospitalization was statistically significant in 40 percent of the related studies, whereas it was not statistically significant in 60 percent. Similarly, the effect of telehealth on the all-cause length of stay was statistically significant in 36 percent of the studies and nonsignificant in 64 percent. CONCLUSION: Considering the fact that hospitalization rate and length of stay can be confounded by factors other than telehealth intervention, studies examining the effect of the intervention on these indicators must take into account all other factors influencing them. Otherwise any judgment on the effect of telehealth on these indicators cannot be valid.

Depiction of Trends in Administrative Healthcare Data from Hospital Information System.

BACKGROUND: administrative healthcare data are among main components of hospital information system. Such data can be analyzed and deployed for a variety of purposes. The principal aim of this research was to depict trends of administrative healthcare data from HIS in a general hospital from March 2011 to March 2014. METHODS: data set used for this research was extracted from the SQL database of the hospital information system in Razi general hospital located in Marand. The data were saved as CSV (Comma Separated Values) in order to facilitate data cleaning and analysis. The variables of data set included patient's age, gender, final diagnosis, final diagnosis code based on ICD-10 classification system, date of hospitalization, date of discharge, LOS(Length of Stay), ward, and survival status of the patient. Data were analyzed and visualized after applying appropriate cleansing and preparing techniques. RESULTS: morbidity showed a constant trend over three years. Pregnancy, childbirth and the puerperium were the leading category of final diagnosis (about 32.8 %). The diseases of the circulatory system were the second class accounting for 13 percent of the hospitalization cases. The diseases of the digestive system had the third rank (10%). Patients aged between 14 and 44 constituted a higher proportion of total cases. Diseases of the circulatory system was the most common class of diseases among elderly patients (age≥65). The highest rate of mortality was observed among patients with final diagnosis of the circulatory system diseases followed by those with diseases of the respiratory system, and neoplasms. Mortality rate for the ICU and the CCU patients were 62% and 33% respectively. The longest average of LOS (7.3 days) was observed among patients hospitalized in the ICU while patients in the Obstetrics and Gynecology ward had the shortest average of LOS (2.4 days). Multiple regression analysis revealed that LOS was correlated with variables of surgery, gender, and type of payment, ward, the class of final diagnosis and age. CONCLUSION: this study presents trends in administrative health care data residing in hospital information system of a general public hospital. Patterns in morbidity, mortality and length of stay can inform decision making in health care management. Mining trends in administrative healthcare data can add value to the health care management.

Minimum data set for cystic fibrosis registry: a case study in iran.

BACKGROUND: over the last 25 years several national registries of CF have been set up. Such systems can be very useful in providing an integrated resource for improving patient care and conducting research on the disease. Minimum Data Set is a common set of data items that should be used to collect and report data in the registry. The principal aim of this research was to determine minimum data set for the CF registry in north-west of Iran. METHODS: data items collected by several selected registries of cystic fibrosis were studied and an initial set of data was selected by the researchers. A group of experts including epidemiologists, pediatricians, and CF specialists were asked to review the proposed data elements and score them based on their importance by using a nine-point Likert scale. The items scored as important or highly important by more than 50 % of the experts, were included in final list of minimum data set. Availability of data was evaluated through reviewing medical records of 144 patients hospitalized in Children Hospital located in Tabriz. RESULTS: overall six classes of data (46 items) were identified in the selected registry systems for cystic fibrosis: patient demographics, administrative data, survival status, diagnostic procedures, genetic and clinical manifestations, and therapeutics. Thirty two data elements from all six categories of data were approved by the experts as the minimum data set for cystic fibrosis registry system. Availability of data in administrative category and survival class was 100 percent. Collecting data on medications was feasible in 100% of the cases as well. In class of demographic data, accessibility of patient name, age, gender, place of birth, and date of birth was 100 percent. In group of diagnostic procedures, partial availability of data was found for sweat test and genetic test. No data was found on the antenatal screening, exercise tolerance test, and glucose tolerance test. CONCLUSION: this work can be considered as a first step toward establishing CF registry system in Iran. Minimum data set can be also useful in designing electronic registry or electronic patient records for those suffering from CF toward integration of their fragmented records across continuum of the health care system in order to improve quality of shared patient care.