1,720,972 research outputs found
Mobile Applications for Medication Adherence Among Diabetes Patients: A Narrative Review of Current Evidence and Future Directions
Mobile applications (apps) have proven to be helpful tools which enable the support of diabetes patient medication adherence by providing functions for reminders tracking and educational materials. The investigation focuses on evaluating current research regarding mobile app effectiveness towards boosting medication adherence among diabetes patients. A review evaluation of research papers demonstrates the potential advantages which include superior treatment results and enhanced patient participation and blood glucose regulation abilities. The analysis includes descriptions of the application usability difficulties that patients experience alongside their preference patterns and healthcare system integration issues. The review investigates the effectiveness of individualized intervention strategies as well as the influence of real-time feedback together with provider communication that both exist within mobile apps. Clinical trials must advance and app characteristics should standardize to guarantee their positive impact on adherence across all patient types. The field requires research to build specific and easy-to-use mobile applications and artificial intelligence integration and systematic investigation of data security measures for achieving patient consent. The analysis shows encouraging value of mobile applications which enhance diabetes medication adherence yet acknowledges there must be ongoing development using evidence-based practices within this expanding mobile health sector
Is integrating video into tech-based patient education effective for improving medication adherence? – A review
Patient education is a crucial part of the efforts to improve the level of medication adherence. Successful diabetes self-management will be achieved if health practitioners (doctors, pharmacists, nurses, and other health-related professionals) provide education to their patients. One of the multimedia platforms that are now popular in patient education and health promotion is video. This study primarily aimed to review published research examining integration of video-based digital interventions into tech-based patient education methods to promote medication adherence in diabetic patients. All of the articles presented in this review were collected from the PubMed, Science Direct, and Sage Publication databases. This review compared study samples, intervention characteristics (length of intervention and learning media), and adherence outcomes, as well as additional outcomes across the studies. Of the 304 articles reviewed, seven studies that met the criteria were found and included in the review. Overall, 57.14% of the integrated video-based interventions demonstrated improved medication adherence and 42.86% demonstrated improvement in other related health outcomes. The interventions were 7 weeks to 6 months in length and were in the form of storytelling with videos, smartphone apps, educational programs, or web-based education. It can be concluded that video-based digital interventions aimed to improve medication adherence in diabetic patients are promising. For optimum outcomes, this study highly suggests that a combination of video (synchronous and asynchronous) and a good patient education program is an ideal form of intervention for patients with type 2 diabetes. Regarding the education platform, the intervention could be humanoid robots, storytelling, mobile health (mHealth) apps, websites, robot-enhanced diabetes care, and other related tech-based programs or even conventional models
How AI is Changing Healthcare: A Review of Innovations and Challenges in Health Informatics
Revolutionizing healthcare with better, quicker diagnoses, more refined treatment plans, enhanced patient monitoring, and still faster administrative process. This transformation is exemplified in the AI technology of health informatics, with tools helping analyze huge datasets, extract patterns, and improve clinical decisions. This article contemplates the multifarious ways AI has revolutionized healthcare, the innovations falling in the area of diagnostics, treatment personalization, remote care, and operational effectiveness. Nonetheless challenges becoming evident consist of ethical concerns with data privacy issues and limiting the actual application of these models. A mixed-method approach was utilized to evaluate some examples of evolving inventions. From the available evidence presented in articles of this nature, compiled from the various other clinical trials undertaken on AI-based health information systems and AI-driven research projects, concrete examples of AI solutions that work in real-time in radiology, pathology, virtual health assistants and predictive analytics have been proven to be effective. The review, however, discusses struggles regarding regulatory compliance, algorithmic bias, and clinician adoption. The review calls for stronger policy frameworks, more interdisciplinary collaboration, and continuous research to bolster the uptake of AI in clinical workflows by overcoming these challenges. The future of AI's transformational climax in the healthcare sector depends upon the responsible and equitable use of these powerful technologies
Evaluating the impact of AsmaDroid® on knowledge, attitude, and behavior of relapse prevention among asthmatic patients
The success of asthma self-management is determined by three essential factors: healthcare professionals, patients, and drugs. Regarding patient factors, the level of knowledge plays a role and leads to a positive attitude and behavior to prevent future attack relapse. This quasi-experimental study aimed to determine the effectiveness of a mobile phone app-assisted educational intervention in improving the quality of knowledge, attitude, and behavior among patients with asthma. The study included 140 participants who were divided into two groups, i.e., control and treatment. The treatment group received and installed the app into their smartphone and then was asked to study all the educational materials in the app for four weeks. A test was carried out before and after the intervention period to examine the effectiveness of the intervention. This study used the statistical program IBM® SPSS® Version 22.0 to analyze data, and a parametric statistical test was utilized to test the statistical hypothesis in this investigation. The study found improvement, as many as 87.14% for knowledge, 77.14% for attitude, and 67.15% for behavior, with a p-value each of 0.01. It could be concluded that digital-based patient education using a mobile app improves the patients' knowledge, attitude, and behavior
The Formulation of Lotion Preparations of Betel Leaf Extract (Piper betle)
Betel leaf (Piper betle) contains an essential oil that has extreme antiseptic power (bactericidal and fungicidal). Betel leaf (Piper betle) can be used in the treatment of Tinea versicolor or known in the community as panu. However, its use in the form of leaves is considered impractical by the public and also difficult to obtain. This research formulated betel leaf (Piper betle) into lotion preparations, so its use in the community can be more practical. This study aims to determine the type and concentration of the suspending agent used to produce lotion preparations from betel leaf extract (Piper betle), which has optimal physical quality. This research was an experimental study. The distillation of betel leaf (Piper betle) was carried out to get essential oils. The essential oils of betel leaf (Piper betle), which was used as an active substance in formulations, was 5%. Suspending agents that were used in this study were Arabic gum with concentrations of 10%, 15%, 20%, and CMC Na, with concentrations of 0.25%, 0.5%, and 1%. The formulation of lotion preparations included organoleptic observation, pH test, homogeneity test, and adhesion test. Based on the physical quality test of the lotion preparations that had been conducted, it can be concluded that the lotion preparations of betel leaf extract with 20% concentration of Arabic Gum suspending agent had physical qualities in accordance with lotion dosage criteria
PENGARUH INTERVENSI EDUKASI BERBASIS APLIKASI PONSEL PINTAR TERHADAP TINGKAT KUALITAS HIDUP PENDERITA DIABETES MELITUS TIPE 2
Poor quality of life is one of the leading causes of death in individuals with diabetes mellitus, so people with diabetes need to be educated about the disease to have a decent quality of life and avoid complications. Today's technological advances have resulted in the emergence of many new innovations, including in the health sector, such as the use of smartphone apps for patient education. This study seeks to describe the quality of life of type 2 diabetes mellitus patients in the outpatient installation at PKU Muhammadiyah Gamping Hospital and to ascertain whether there are any differences between the quality of life of these patientss' prior to and following the administration of educational interventions based on smartphone applications. This study falls under the category of pre-experimental research, with a one-group pretest and posttest design. Respondents for this study were recruited using the quota sampling approach, which yielded up to 50 participants based on the research requirements. This study was conducted at the PKU Muhammadiyah Gamping Hospital outpatient facility from October to December 2022. The Diabetes Quality of Life (DQoL) questionnaire was used to collect research data before and after the smartphone application-based educational intervention "Diary Diabetes" was given to respondents. According to the findings of this study's descriptive statistical analysis, out of 50 respondents, 37 (or 74%) had high levels of life satisfaction. The study's findings also revealed an increase in the average, median, maximum, and standard deviation of the respondents. According to the hypothesis test, the study's paired sample t- test had a significance value of 0.003, indicating that there was a difference between the patients' quality of life before and after receiving smartphone application-based educational interventions for type 2 diabetes mellitus in the outpatient facility of PKU Muhammadiyah Gamping Hospital
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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