HEALTH INFORMATION SEARCH ENGINE THE NEW TOOLS OF HEALTH LITERACY

Introduction: Access to Health Information is very essential for promoting health literacy, self-care, shared decision making, medication adherence. The Internet is one of the main resources of health information. Many studies showed the main gateway for seeking health information was search engines. But finding qualified health information is a challenge. Therefore, this study aimed to introduce top health Searches engines and review their features. Methods: According to the literature review, 10 health Searches engines were selected. Common features of each search engine, such as the ability to create profiles, the type of health information provided, target users, health information sources contained in the search engine, and the unique feature and other features, were reviewed and the comparison table was provided. A common search scenario was also tested on all search engines and the result of the data retrieval was reported by the search engine. Results: health Searches engine like that PubMed، Med scape، McGraw-Hill Medical، iMediSearch، medicin.net, Hardin.Md، Health line ، EMedicine، Merck and Ovid were chosen and reported. Conclusion: The results of this study can help users such as patient to choose a valid health searches engine and also help them to find health searches engine appropriate for their health problem and know what features in health website is important

QUANTITATIVE EVALUATION OF MEDICAL RECORD DOCUMENTATION IN IMAM REZA HOSPITAL, MASHHAD, IRAN

Introduction: Diabetes is the most common endocrine disease. Given the importance of medical record documentation for diabetic patients and its significant impact on accurate treatment process, as well as early diagnosis and treatment of acute and chronic complications, this study aimed to qualitatively evaluate medical record documentation of diabetic patients. Methods: This descriptive and cross-sectional study was conducted on all medical records of diabetic patients (1200 cases) in the comprehensive Diabetes Center of Imam Reza Hospital. A checklist was prepared according to the main sectors and their sub-data elements to conduct a qualitative evaluation on documentation of medical records of diabetic patients.  Descriptive statistics were used to report the results. Results: In this study, 1200 (710 women and 490 men) cases were evaluated. Mean documentation of main sectors of diabetic patients’ records were as follows: 49% demographic characteristics, 14% patient referral, 4% diagnosis, 50% lab tests, 25% diabetes medications,13% nephropathy screening test, 10% diabetic neuropathy, 41% specialty and subspecialty consultations and internal medicine physicians visits did not complete for all the patients. Conclusion: According to the results of this study, qualitative evaluation of medical record documentation of diabetic patients Showed poor documentation in this regard. It is suggested that results of this study be accessible to physicians of healthcare centers to take a positive step toward improved documentation of medical records. In addition, it seems necessary to modify diabetic medical records

DESIGNING THE MINIMUM DATA SET OF PSYCHIATRIC EMERGENCY RECORD

Introduction: Psychiatric emergencies are acute mental health disturbances, behavior and social relationship that require immediate intervention. The major role of psychiatric emergency services is to provide mental health care services for patients with acute mental health problems. Design emergency psychiatry core dataset has improved the coordination and integration of services and improved the outcomes for the patient with severe and persistent mental illness with complex needs. So the aim of this study was to design data elements (DEs) in emergency psychiatry for Iran.   Methods: This is an applied study. Emergency psychiatry (DEs) collected via literature review and then psychologist and psychiatrist (16 experts) assign the score from 0 to 5 to them according to the value of each data element. (DEs)  selected as core Emergency psychiatry (DEs) that were achieved 4 or 5 scores from 75% specialist.   Results: According to the literature review, 110 (DEs) included studying. 13 experts (8 psychologists, 8 Clinical Psychologist) evaluated psychiatric emergency (DEs) set. The average work experience of psychiatrists and psychologists was 16 years and their work experience ranged from 2 to 25 years (table 1). according to the experts opinion, 54 (DEs) with at least 75% of the agreement were identified as the psychiatric emergency (DEs). Emergency psychiatric (DEs) and average agreement of each of them were: demographic characteristics (6 DEs with an agreement average of 82.5%), history of mental illness (9 DEs with an agreement average of 79%), family history of psychology (3 DEs with an average agreement of 77.08%), medical history (1 DEs with an average agreement of 81.25 %) Assessment of mental status ( 20 DEs with an average agreement of 82%), assessment of the self harm risk or harm risk for others ( 13 DEs with an average agreement of 93.6%) and diagnosis and treatment (3 DEs with an average agreement of 81.25%). Conclusion: Given the importance of psychiatric disorder and lack of the national system for gathering psychiatric information, perform the same study abut psychiatric data element is very important. The results of this study can be used for design psychiatric emergency forms and gather accurate and complete patient information

DETERMINING THE MINIMUM DATA SET FOR DIABETES REGISTRY

Introduction: The number of people with diabetes's increasing. More than 220 million people have diabetes, more than 70% of whom live in middle and lower-income countries. already exist many innovations around the world on improving the managed care of diabetes  .diabetes registries are one of them. in Iran, development and evaluation of diabetes information systems is one of the most research priorities. since defining health regulations and evaluation of diabetes prevention programs depend on the powerful information system, but in Iran don't exist complete information about incidence and prevalence of diabetes. determine standard data elements (Des) and design diabetes registry is one the most important country requirements. the main purpose of this study is investigating to this subject.   Methods: This is a descriptive- analytic study. Resource related to diabetes DEs collected from selective minimum data sets. Then diabetes DEs set derived from selective minimum data sets were investigated in focus group sessions with endocrine specialists, health informatics, and health information management. Duplicate DEs were removed and similar DEs were combined. Then seven endocrine specialists evaluated diabetes DEs set. They determine the value of each DEs using the Delphi technique (scores range from 0 to 5). The DEs that received more than 75% of grade 4 and 5 remained in the study. Following the expert opinion, the final version of the diabetes DEs set was designed.   Results: According to literature review 455 DEs included studying, after Delphi sessions, 293 data element remained to study. Main categories of DEs are:1-patient demographic characterizes (12 DEs), 2-patient referral (5 DEs), 3-diabetes care follow up (15 DEs), 4-physical exam, chief complaint and assessment (40 DEs), 5-history (such as: individual, grow up, family, drug abuse) (10 DEs), 6-pregnancy management (13 DEs), 7-screening (10 DEs), 8-specialty evolutions ( such as: cardiovascular (18 DEs), neuropathy (16 DEs), nephropathy (7 DEs), teeth and mouse (3 DEs), eyes (14 DEs), psychology situation (2 DEs),  sexual ability (1 DEs)), 9-laboratory exams (33 DEs), 10-drugs (oral antidiabetics drugs (14 DEs), injectable antidiabetics (7 DEs), lipid (11 DEs), hypertension (20 DEs), anti placates (2 DEs)), cardiac (3 DEs), preparing insulin method (5 DEs)), 11-physical activity (4 DEs),12- diet (12 DEs), 13-education and self care (13 DEs). Conclusion: In the study diabetes, DEs set were determined that provide appropriate yield for data gathering and record all required information for diabetes care. Hence diabetes is a chronic disease and Patients suffer from it for years, implementation diabetes DEs can improve documentation and improve diabetes care.&nbsp

Investigating Evaluation Frameworks for Electronic Health Record: A Literature Review

BACKGROUND: There are various electronic health records (EHRs) evaluation frameworks with multiple dimensions and numerous sets of evaluation measures, while the coverage rate of evaluation measures in a common framework varies in different studies. AIM: This study provides a literature review of the current EHR evaluation frameworks and a model for measuring the coverage rate of evaluation measures in EHR frameworks. METHODS: The current study was a comprehensive literature review and a critical appraisal study. The study was conducted in three phases. In Phase 1, a literature review of EHR evaluation frameworks was conducted. In Phase 2, a three-level hierarchical structure was developed, which includes three aspects, 12 dimensions, and 110 evaluation measures. Subsequently, evaluation measures in the identified studies were categorized based on the hierarchical structure. In Phase 3, relative frequency (RF) of evaluation measures in different dimensions and aspects for each of the identified studies were determined and categorized as follows: Appropriate, moderate, and low coverage. RESULTS: Out of a total of 8276 retrieved articles, 62 studies were considered relevant. The RF range in the second and third level of the hierarchical structure was between 8.6%–91.94% and 0.2%–61%, respectively. “Ease of use” and “system quality” were the most frequent evaluation measure and dimension. Our results indicate that identified studies cover at least one and at most nine evaluation dimensions and current evaluation frameworks focus more on the technology aspect. Almost in all identified studies, evaluation measures related to the technology aspect were covered. However, evaluation measures related to human and organization aspects were covered in 68% and 84% of the identified studies, respectively. CONCLUSION: In this study, we systematically reviewed all literature presenting any type of EHR evaluation framework and analyzed and discussed their aspects and features. We believe that the findings of this study can help researchers to review and adopt the EHR evaluation frameworks for their own particular field of usage

Usability Evaluation of an Admission, Discharge, and Transfer Information System: A Heuristic Evaluation

BACKGROUND: Admission, discharge and, transfer (ADT) process is one of the most important hospital workflows. ADT system is a part of a hospital information system (HIS). AIM: The objective of this study was to evaluate the usability of the ADT system. METHODS: The study performed at Mashhad University of Medical Sciences (MUMS) hospitals. Data collection instrument was a validated checklist of Pierotti heuristic evaluation. To determine the severity of usability problems, a hybrid of Nielson and Tampere unit for computer-human interaction (TAUCHI) severity scaling algorithm was used. Usability problems were divided into five categories (major, severe, minor, cosmetic, and technical). Six experts evaluated the ADT system independently. According to TAUCHI severity scale, if a feature has not yet been implemented in the ADT system, evaluators considered it a technical usability problem. Therefore, usability problems due to non-design feature in the ADT system were identified. Finally, the mean severity of each usability problems was calculated. RESULTS: A total of 186 usability problems were identified. The frequency of major, sever, minor and cosmetic usability problems were 2, 65, 69 and 50, respectively. A total of 55 usability problems by the evaluators were recognised as technical problems. The highest mismatch with usability principles was related to the “recognition rather than recallâ€. The range of the mean severity of usability problems was between 0-2.31. CONCLUSIONS: Our result showed that although implementation of IHIS on a large scale, it still suffered from unresolved usability problems. Identification of usability problems and evaluation of their level of severity, which was simultaneously performed in this study, can be used as a guide to evaluate the usability of other HISs

Prediction models to measure transplant readiness of patients with renal failure: A systematic review

Predicting the future of illness, a patient is facing helps the physicians to choose the best strategy to manage the disease. Models for predicting the readiness of candidates for kidney transplant can be very promising. This study sought to systematically review the predictive models and algorithms that assess the readiness of renal transplant candidates in different countries. This systematic review study was according to PRISMA-P protocol in PubMed and Science Direct databases and general search engines up to March 2017. Eligible studies were those that introduced a model to assess the readiness for renal transplantation of patients with chronic renal failure from cadavers and this assessment led to scoring prioritization or superiority among patients. We found 28 studies from 11 countries that met the search criteria and >50% of them were published from 2015 onward. Of the studies, nine models and algorithms were extracted that included 12 factors. Some models, including the European and Scandinavian models, were used jointly between different countries. All the models had at least four factors, and nearly 90% of the models considered four or five factors to measure kidney transplantation readiness. More than 50% of the models had age, dialysis duration, HLA type, and emergency status factors and, dialysis duration. Predictive models are important for renal transplant because of the significant reduction in number of cadavers and longer wait of candidates for a kidney transplant. Further studies can examine the effect of these models on the survival of the kidney transplant