Evaluation of no-show rate in outpatient clinics with open access scheduling system: A systematic review.

Background: Patients' missed appointments can cause interference in the functions of the clinics and the visit of other patients. One of the most effective strategies to solve the problem of no-show rate is the use of an open access scheduling system (OA). This systematic review was conducted with the aim of investigating the impact of OA on the rate of no-show of patients in outpatient clinics. Methods: Relevant articles in English were investigated based on the keywords in title and abstract using PubMed, Scopus, and Web of Science databases and Google Scholar search engine (July 23, 2023). The articles using OA and reporting the no-show rate were included. Exclusion criteria were as follows: (1) review articles, opinion, and letters, (2) inpatient scheduling system articles, and (3) modeling or simulating OA articles. Data were extracted from the selected articles about such issues as study design, outcome measures, interventions, results, and quality score. Findings: From a total of 23,403 studies, 16 articles were selected. The specialized fields included family medicine (62.5%, 10), pediatrics (25%, four), ophthalmology, podiatric, geriatrics, internal medicine, and primary care (6.25%, one). Of 16 articles, 10 papers (62.5%) showed a significant decrease in the no-show rate. In four articles (25%), the no-show rate was not significantly reduced. In two papers (12.5%), there were no significant changes. Conclusions: According to this study results, it seems that in most outpatient clinics, the use of OA by considering some conditions such as conducting needs assessment and system design based on the patients' and providers' actual needs, and cooperating of all system stakeholders through consistent training caused a significant decrease in the no-show rate.

Using mobile health in primiparous women: effect on awareness, attitude and choice of delivery type, semi-experimental.

BACKGROUND: One of the reasons for the increase in cesarean section is the lack of knowledge of mothers in choosing the type of delivery. The present study aimed to determine the effect of education through pregnancy application during pregnancy on awareness and attitude and choice of delivery type in primiparous women at Shahid Alavi Specialized Medical Center clinic in Mashhad. METHODS: This study was a semi-experimental type. Seventy primiparous pregnant women who had no restrictions for birth was selected. Sampling was randomized and purpose-based. The data collection tool was a questionnaire. The starting time of the training was considered from the end of the 27th week of pregnancy and continued with regular intervals until the end of the pregnancy. The questionnaires were completed once before the training and once after the training as a pre-test and post-test by the research units. SPSS software (version 26) and MacNemar test and descriptive statistics were used for data analysis. RESULTS: According to the results of the MacNemar test, a significant statistical difference was seen between women's knowledge and attitude after the training compared to before (p-value < 0.01). Choosing the type of birth was preferred before and after the training. But following the performance of women showed that only 62.86% of them chose natural birth. In fact, before the training, 40% and after 72.86% of women had chosen birth. CONCLUSION: Pregnancy education and application during pregnancy is effective in reducing the choice of cesarean section, so this application with the topic of birth and cesarean section has improved the level of attitude and also the positive attitude of pregnant women towards birth. Creation of facilities and promotion of different methods of painless childbirth and training of maternity staff to perform birth is expected.

The effect of machine learning algorithms in the prediction, and diagnosis of meningitis: A systematic review.

Background and Aims: This systematic review aimed to evaluating the effectiveness of machine learning (ML) algorithms for the prediction and diagnosis of meningitis. Methods: On November 12, 2022, a systematic review was carried out using a keyword search in the reliable scientific databases PubMed, EMBASE, Scopus, and Web of Science. The recommendations of Preferred Reporting for Systematic Reviews and Meta-Analyses (PRISMA) were adhered to. Studies conducted in English that employed ML to predict and identify meningitis were deemed to match the inclusion criteria. The eligibility requirements were used to independently review the titles and abstracts. The whole text was then obtained and independently reviewed in accordance with the eligibility requirements. Results: After all the research matched the inclusion criteria, a total of 16 studies were added to the systematic review. Studies on the application of ML algorithms in the three categories of disease diagnosis ability (8.16) and disease prediction ability (8.16) (including cases related to identifying patients (50%), risk of death in patients (25%), the consequences of the disease in childhood (12.5%), and its etiology [12.5%]) were placed. Among the ML algorithms used in this study, logistic regression (LR) (4.16, 25%) and multiple logistic regression (MLR) (4.16, 25%) were the most used. All the included studies indicated improvements in the processes of diagnosis, prediction, and disease outbreak with the help of ML algorithms. Conclusion: The results of the study showed that in all included studies, ML algorithms were an effective approach to facilitate diagnosis, predict consequences for risk classification, and improve resource utilization by predicting the volume of patients or services as well as discovering risk factors. The role of ML algorithms in improving disease diagnosis was more significant than disease prediction and prevalence. Meanwhile, the use of combined methods can optimize differential diagnoses and facilitate the decision-making process for healthcare providers.

Mobile health apps for pregnant women usability and quality rating scales: a systematic review.

OBJECTIVE: This study is to identify the apps used by pregnant women during the technology era and to choose the best app from the point of view of pregnant women and experts. METHODS: The article is a research article that uses PRISMA flowchart. Given that there are many apps in the field of pregnancy and due to technological advances, the articles of the last 13 years that have been scientifically published in the databases of Google Scholar, PubMed, and Science Direct have been analyzed. The most widely used and, at the same time, the best app is introduced in terms of its high usability in users' attitude. Finally, Apps will be compared in terms of accuracy, precision, and usability of the dimensions of Jacob Nielsen's five principles. RESULTS: According to the search strategy, 23 articles were identified qualitatively by reviewing both authors. Then, the types of apps were divided into three general categories, pregnant entertainment apps, pregnant information apps, and monitoring apps for mothers' physical health. Finally, 10 apps were selected and the Amila app was introduced as the best due to its high usability (Effectiveness %66.66) and users' satisfaction or women's choice (%98). CONCLUSION: Using trusted apps to maintain their health and reduce traffic will be very important. Given that this research article was written with the aim of choosing the best app, that not only provides the required information to mothers, but also the ability to interact with doctors and specialists.

Investigating the role of mobile health in epilepsy management: A systematic review.

Epilepsy is the most common chronic neurologic disease which is characterized by recurrent attacks of headache after seizure. Researches show that self-management is an important factor in improving the quality of life and quality of care of people affected by epilepsy. Mobile phone technologies play a potential role in patient care assistance and treatment of epilepsy. This systematic review was conducted with an aim to study the role of mobile health in the management of epilepsy. This study was conducted by searching databases such as PubMed, Scopus, Web of Science, and Google scholar search engines using the following keywords: "m-health," "mobile health," "Telemedicine," "Mobile Application," "Smartphone," "epilepsy," and "epilepsy management." Articles published from January 1, 1990 to September 1, 2021 were searched. Inclusion criteria included all articles published in English with a focus on the role of mHealth in the management of epilepsy. Review articles and studies that were not about patients were omitted. In this study, of a total of 4225 retrieved articles, 10 studies met the full-text inclusion criteria. Three types of researches (30%) were done in the USA, five studies (50%) were conducted as randomized controlled trials, and eight articles (80%) had the highest quality. Among the considered articles, three articles (30%) were engaged in training users in epilepsy management. Five articles (50%) reported improvement in seizure control in patients with epilepsy and two articles (20%) did not report any significant improvement. Mobile technologies have a promising role in providing health assessment, education, and other services for patients, and they also help in controlling seizures attack and improvement of epilepsy management. These technologies enjoy great attractiveness, and utilizing them will lead to patient satisfaction.

Attitude, awareness, and knowledge of telemedicine among medical students: A systematic review of cross-sectional studies.

Background and Aims: The success of every new technology depends on numerous factors, including specialists' knowledge and perceptions of the concept, acquired attitude skills, and work environments. This systematic review aimed to examine medical students' knowledge, attitudes, and perceptions of telemedicine. Methods: Studies were obtained from the PubMed, Embase, Scopus, and Web of Science databases on June 9, 2022. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Cross-sectional studies that examined medical students' knowledge, attitude, and perceptions of telemedicine approaches were considered inclusion criteria. Titles and abstracts were independently screened based on eligibility criteria. Articles that did not meet the inclusion criteria were excluded from this review. After that, the complete texts were retrieved and screened by two separate researchers based on the eligibility criteria. Disputes were resolved by discussion. The same checklist was used for data extraction. To assess the quality of the studies entering this study, the Joanna Briggs Institute Critical Appraisal Checklist for analytical cross-sectional studies was used. Results: In total, 10 eligible articles were found through this review. The sample size of the studies ranged from 60 to 3312 participants, or 6172 participants on the whole. The medical students' attitudes toward telemedicine were evaluated in eight included studies. Many of these studies (seven cases) reported positive and promising perspectives on telemedicine. However, in one study, participants revealed moderate attitudes toward online health information and online health experience sharing (p < 0.05). Students' knowledge of the telemedicine approach was evaluated in eight included studies. Many of these studies (five cases) reported that students possessed an extensively poor knowledge of telemedicine's uses. In three other studies, two reported moderate and one disclosed desirable levels of students' knowledge. All the included studies attributed medical students' poor knowledge to the lack of, and thus failure of, educational courses in this field. Conclusion: The evidence obtained from this review reveals that medical students possess positive and promising attitudes toward telemedicine technology for education, treatment, and care. However, their knowledge levels were extremely insufficient, and many had not passed any educational courses in this respect. Such results can foreground the health and education policymakers' obligations for planning, training, and empowering digital health and telemedicine literacy among medical students as the primary players in social health.

A telemonitoring system to support CPAP therapy in patients with obstructive sleep apnea: a participatory approach in analysis, design, and evaluation.

BACKGROUND: Continues positive airway pressure (CPAP) therapy is a gold standard treatment for moderate to severe cases of OSA (obstructive sleep apnea). The present research aimed to describe the analysis, design, and evaluation of a telemonitoring system to improve CPAP adherence in patients afflicted with OSA. METHODS: The telemonitoring system was developed in five phases. In the exploratory phase, the body of related literature was reviewed. Then a need analysis was conducted through a focus group discussion with sleep medicine specialists and sales company representatives and an interview with patients. The third phase involved data integration. Then the content and system development were done based on the previous phases. Finally, usability and functionality tests were used to evaluate the system. RESULTS: The exploratory phase and the needs analysis were conducted by four sleep medicine specialists, two medical informatics specialists, six key figures of the sales companies, two system developers, and 46 patients in different phases. Based on the results obtained from the data integration phase, the telemonitoring system involved three main parts: a patient's application, a doctor's portal, a selling companies' portal (operator's portal) along with facilitating software for patients to send the CPAP data. Usability and functionality tests were given to 7 and 10 patients, respectively. The total number of usability issues reported by users in the evaluation process was 18, with an average of 2.5 issues per user. The installation problems, disrupted links and improper playing of videos were the main functionalities problems that were solved. CONCLUSION: The telemonitoring system, as a means of communication between patients, doctors, and selling companies, can be used to support patients clinically and technically. It has the potential to improve CPAP adherence in patients with OSA.

Effect and features of information technology-based interventions on self-management in adolescent and young adult kidney transplant recipients: a systematic review.

INTRODUCTION: Adolescent and young adult periods are characterized by increased risk-taking, impulsive behavior, and nonadherence issues, which makes it equally challenging for patients and their health care professionals. Health information technology (IT) has the potential to empower patients. OBJECTIVE: Determine the effects and features of IT-based interventions for self-management of adolescents and young adults in kidney transplant recipients. MATERIALS AND METHODS: A comprehensive survey was done on Medline and Scopus in September 2018. Eligible studies included randomized controlled trials (RCTs) and quasi-experimental studies focused on automated IT-based interventions. Studies contained information about adolescent and young adult kidney transplant recipients aged under 25, all published in English. The articles were combined with each other based on the classification of outcomes, the type of interventions, and their impact. The studies were categorized based on the impact of interventions as positive and statistically significant, with no effect, or a combined effect (both positive significance and without effect). RESULTS: In this review, of a total of 2,242 retrieved articles, collected from Scopus and PubMed databases, 5 studies met the full-text inclusion criteria. Interventions were performed using computerized systems (3 studies), smartphone application/personal digital ass (PDA) (1 study), and multiple components (1 study). These studies evaluated 15 outcomes, including 7 care process and 8 clinical outcomes. In 6 of 15 outcomes (40%), interventions had a statistically significant positive effect. CONCLUSION: IT-based interventions such as mobile health/personal digital assistant(PDA), computer systems and multi-component have the potential to improve self-management in adolescents and young adult kidney transplant recipients (care process outcomes). It is recommended to conduct complementary research to examine the effect of IT-based self-management interventions on clinical outcomes in kidney transplant recipients.

Evaluation of patient satisfaction of the status of appointment scheduling systems in outpatient clinics: Identifying patients' needs.

Appointment scheduling systems are potentially useful tools for enhancing the patient satisfaction. This study was conducted to inspect patient's needs and satisfaction of the current status of appointment scheduling systems in outpatient clinics. This cross-sectional study was conducted in 10 outpatient clinics with different specializations. The outpatient clinics were selected based on the stratified randomization method. Data were collected using a questionnaire from December 2016 to March 2017. The questionnaire reliability was measured with the participation of 15 patients using the test-retest method. The content validity was also evaluated by 13 experts. A total of 319 patients completed the survey. The mean score of overall patient satisfaction and the patient satisfaction of the clinic environment were 6.73 ± 0.16 and 8.30 ± 0.12, respectively. The average waiting time was 64.2 ± 3.45 min. The service time took on an average 9.85 ± 0.37 min. The patient satisfaction of the clinic environment (P = 0.023), length of waiting time (P = 0.001), and duration of service time (P = 0.005) had a statistically significant association with overall patient satisfaction. Based on the results, the need for improving overall patient satisfaction score was felt. The patient satisfaction of waiting time, service time, and clinic environment had the greatest influence on overall patient satisfaction. Furthermore, it is recommended that a web-based appointment scheduling system should be implemented.

Usability testing of bed information management system: A think-aloud method.

Not considering the usability in designing clinical information systems causes problems in human-computer interaction and patient dissatisfaction. Therefore, in this study, the usability of the bed information management system (BIMS) was examined by think-aloud method. This cross-sectional study was conducted on the BIMS in 50 noneducational hospitals. Participants consisted of three groups including users, facilitators, and technical support. To carry out the study, a scenario consisting of four tasks was designed. Three researchers analyzed the recorded files to identify the usability problems and their severity. The mean time of the evaluation process was 20:33 ± 4:47 s. The total number of the problems identifies by users was 80 cases. Data entry and layout problems with 38 (48%) and 33 (41%) cases were the most frequently found problems, respectively. About 61% and 55% of the data entry and layout problems had a minor severity (Severity 2), respectively. Furthermore, 43 (54%) cases of the problems were resolved by the users and 32 (40%) cases by the facilitator assistance. This study showed that a large number of the problems were due to the system poor design. Furthermore, by increasing the users' level of knowledge about the system, it is possible to enhance user-system interaction. It is recommended that before designing and implementing a system, the system should be evaluated for usability, and the users should be educated in clinical information systems.