Utilization of YouTube and Twitter as source of information for research by medical students at Usmanu Danfodiyo University, Sokoto

YouTube and Twitter have been used as a social media handles for a number of purposes; however, using same tools for research purposes among undergraduate medical students is the major reason for this study. The study investigated the utilization of YouTube and Twitter as sources of information among undergraduate's medical students in Usmanu Danfodiyo University, Sokoto (UDUS),Nigeria. Descriptive survey was used with the population of 65,469 medicals students drawn from three (3) faculties' namely, Health sciences, Medical sciences and Laboratory sciences. A sample size of 398 undergraduates was drawn using Slovene's formula. Questionnaire was used as a data collection instrument and distributed to 398 undergraduate medical students, out of which a total of 379 copies was returned and used for analysis. Data collected were analyzed with the use of Statistical Package for Social Sciences (SPSS). It was found that medical students in UDUS make use of YouTube and Twitter to a great extent and they use it majorly for academic purposes. Furthermore, information overload, epileptic power supply and Spam and false news media platforms werefound to be the most prominent challenges faced by medical students in UDUS using YouTube and Twitter as sources of information for research. The recommendations proffered include: lecturers should ensure that they engage the students in tasks that can require them to visit and search for academic information on YouTube and Twitter among others.

Routine Health Information Utilization and Associated Factors among Health Professionals Working in Public Health Facilities of the South Region, Ethiopia.

Background: Routine health information is the pillar for planning and management of health services and plays a vital role in effective and efficient health service delivery, decision making, and the improvement of programs. Therefore, this study aimed to assess routine health information utilization and associated factors among health professionals working in public health facilities of the south region. Methods: Institution based cross-sectional study design was employed. Data was collected from randomly selected 719 participants using a pre-tested, interviewer administered structured questionnaire. Bivariate and multivariate logistic regression analyses were carried out. Result: The overall utilization of routine health information was 63.1. Place of residence, HMIS personnel, HMIS code, overwhelming data source, population based data, data quality control, feedback, monitoring chart, 8.467) and data transfer policy were factors significantly associated with utilization of routine health information. Conclusion: Six out of ten health professionals had utilized routine health information. Place of residence, HMIS personnel, HMIS code, overwhelming data source, population based data, data quality control, feedback, monitoring chart and data transfer policy had significant associations with routine health information utilization. Therefore, concerned health authorities need to work on these factors to improve the utilization.

GIU-GANs: Global Information Utilization for Generative Adversarial Networks.

Recently, with the rapid development of artificial intelligence, image generation based on deep learning has advanced significantly. Image generation based on Generative Adversarial Networks (GANs) is a promising study. However, because convolutions are limited by spatial-agnostic and channel-specific, features extracted by conventional GANs based on convolution are constrained. Therefore, GANs cannot capture in-depth details per image. Moreover, straightforwardly stacking of convolutions causes too many parameters and layers in GANs, yielding a high overfitting risk. To overcome the abovementioned limitations, in this study, we propose a GANs called GIU-GANs (where Global Information Utilization: GIU). GIU-GANs leverages a new module called the GIU module, which integrates the squeeze-and-excitation module and involution to focus on global information via the channel attention mechanism, enhancing the generated image quality. Moreover, Batch Normalization (BN) inevitably ignores the representation differences among noise sampled by the generator and thus degrades the generated image quality. Thus, we introduce the representative BN to the GANs' architecture. The CIFAR-10 and CelebA datasets are employed to demonstrate the effectiveness of the proposed model. Numerous experiments indicate that the proposed model achieves state-of-the-art performance.

Improving data quality and information utilization at Metema Primary Hospital, Amhara national regional state, Northwest Ethiopia 2018: Capstone project.

Quality data for evidence-based decision making become a growing concern globally. Available information needs to be disseminated on time and used for decision making. Therefore, an effective Health Management Information System is essential to make evidence-based decision. This study aimed to measure the change in data quality and information utilization before and after intervention. Facility-based pre-post interventional study design was conducted at Metema hospital from September/2016 to December30/2018. A total of 384 individual medical-records, HMIS registration-books and reports were reviewed. Training, supportive supervision and feedback were intervention packages. About 309 (80.5%) of charts were from outpatient department. Data recording completeness increased from 69.0% to 96.0%, data consistency increased from 84.0% to 99.5% and report timeliness enhanced from 66.0% to 100%. There was a statistically significant difference for data recording completeness between pre and post-intervention results with mean difference of -0.246 (-0.412, -0.081). Also, after the intervention, gap-filling feedback and supportive supervision were given to all departments. In addition, four quality improvement projects were developed at post-intervention phase. The level of data quality and use was improved after the intervention. So, designing and implementing intervention strategies based on the root causes will help to improve data quality and use.

A Study on Cause Analysis of Digital Divide among Older People in Korea.

Most people in modern society enjoy various benefits due to the development of information and communication technology and smart technology in modern society. However, due to the digital divide, there is a social class that cannot enjoy abundant benefits. The representative class is the class of older people. In the latest four-year national report on the status of the digital divide, the class with largest digital divide among various information disadvantaged groups, such as the disabled, the low-income class, farmers and fishermen, and older people, is the class of older people. In this study, the causes of the digital divide among older people in Korea are analyzed from various perspectives. To this end, various statistical analyses have been conducted based on national statistical survey works over the past four years. The digital informatization level, which is an index used to measure the digital divide, can be classified into three main components: information access, information capability, and information utilization. Among the three components, the information capability is found to be the lowest. Information capability can also be divided into three components for PCs and mobile devices: installation, use, and management. Among them, management capability was found to be the lowest. Based on this analysis, various plans to reduce the digital divide among older people were proposed.

Utilization of Routine Health Information from Health Management Information System and Associated Factors Among Health Workers at Health Centers in Oromia Special Zone, Ethiopia: A Multilevel Analysis.

INTRODUCTION: Health management information system is a building block for the health system. Even if using health facility data at all levels is critical, it is poorly practiced in developing countries. There is limited evidence about the utilization of routine health information from the health management information system in the study area. This study aimed to assess the utilization of routine health information from health management information system and associated factors among health professionals at health centers in Oromia special zone, Amhara region, Ethiopia. METHODS: A facility-based cross-sectional study was conducted from February to March 2019. A total of 369 health professionals who were the focal person for each service delivery point were taken from the selected health centers. The data analysis was done using STATA version 14. A multilevel mixed-effect logistic regression model was carried out to identify factors associated with utilization of routine health information from the health management information system. Adjusted odds ratio with 95% CI was reported to show the strength of association. A P-value of <0.05 was used to declare statistical significance. RESULTS: The magnitude of good routine health information utilization among health care professionals was 52.8%. Training (AOR=2.40, 95% CI=1.35, 4.26), availability of standard indicator definition (AOR=2.01, 95% CI=1.13, 3.57), data analysis skills (AOR=2.59, 95% CI=1.45, 4.62), regular feedback (AOR=2.29, 95% CI=1.29, 4.05), performance evaluation (AOR=2.60, 95% CI=1.19, 5.68) and timely reporting (AOR=2.89, 95% CI=1.54, 5.42) were significantly associated with routine health information utilization. CONCLUSION: The overall utilization of routine health information from the health management information system was low. Therefore, the Zone health department and woreda health offices need to give training on HMIS data use, and avail standard indicator definition for all health care workers at all service delivery points.

A Study on the Current Status and Improvement of the Digital Divide among Older People in Korea.

In today's knowledge- and information-based society, information literacy and information utilization skills are indicators of one's competitiveness, and play a very important role in various fields (e.g., in one's career, hobbies, as well as in daily life). In particular, information literacy and information utilization skills in older people are becoming essential for them to lead affluent lives. Moreover, information and communication technology is essential form of technology that can allow the elderly to ask for help in cases of emergency, as well as in daily life. Meanwhile, according to a recent Korean national statistical index, the digital divide among older people is more serious than that of the general public. The purpose of this paper is to statistically show that the digital divide among older people is more serious than other information-weak groups, as well as the general public. In addition, the purpose of this study is to identify the priorities that affect the digital divide among the three elements of the digital divide (digital access, digital capacity, and digital utilization) for older people. Based on that, we propose a variety of ways to solve the digital divide for older people. This study is expected to be widely used in future research and policies as a basis for solving the digital divide among older people.

Routine health information utilization and associated factors among health care professionals working at public health institution in North Gondar, Northwest Ethiopia.

BACKGROUND: Routine health information systems (RHIS) are vital for the acquisition of data for health sector planning, monitoring, and evaluation. However, in developing countries the insufficient quality of the data produced by RHIS limits their usefulness in decision-making. As routine health information utilization is still low in Ethiopia, this study aimed to assess the magnitude of routine health data utilization and associated factors among health care professionals in some public health institutions in North Gondar, northwest Ethiopia. METHODS: An institution based cross-sectional study was conducted from March to April2017, at public health institutions of North Gondar Zone, northwest Ethiopia. A total of 720 health care professionals were selected from public health institutions using the multi-stage sampling technique. Data were collected using a structured self-administered questionnaire and an observational checklist, cleaned, coded, and entered into Epi-info version 3.5.3 and transferred into SPSS version 20 for further statistical analysis. In the multiple logistic regression analysis, a less than 0.05 P-vale was considered statistically significant. RESULT: In this study, the level of good routine health information utilization among health professionals was 78.5% (95% CI: 73.2%, 84.3%). According to the multivariable logistic regression analysis, sex (AOR = 2.19, 95% CI: 1.47, 3.27), type of institution (AOR = 3.57, 95% CI: 2.39, 5.32), standard indicators (AOR = 3.28, 95% CI: 1.90, 5.65), data analysis skills (AOR = 1.90, 95% CI: 1.12, 3.23), and good governance (AOR = 1.97, 95% CI: 1.31, 2.95), were found significantly associated with a good level of health information utilization. CONCLUSION: Over three-fourths of the health care professionals working at public health institutions of North Gondar utilized health information better than the respondents in previous studies. Sex, type of institution, standard indicators, data analysis skills, and governance were factors related to routine health information utilization. Therefore, standard indicators, data analysis skills and good governance are highly recommended for improving routine health data utilization of health care professionals working at public health institutions.

Research on residents'value cognition and utilization behavior for online health information / 中华医院管理杂志

Objective To provide reference for service optimization of information suppliers and doctors through analyzing the residents'value cognition and utilization of online health information.Methods Questionnaires were distributed in June 2016 to 1 460 residents aged 18 or above and having experienced medical visits themselves or accompanying others in one year. They were surveyed to learn their health information cognition and utilization behavior. The data so acquired were subject to constituent ratio and Chi square test analysis. Results In terms of their use of online health information, 58.5% of the respondents would consult relevant information before medical visits, 64.3% would verify the doctor's diagnosis online following such visits. In case of any inconsistences, 28.2% of them would seek second opinion at another hospital. Statistical differences were discovered in the cognitive difference of residents of different sexes on "internet health information inquiry can relieve tension" , and in the utilization difference of residents of different ages and educational on " whether to consult online health information before medical visits" ( P<0.05). Conclusions The residents'value cognition of online health information is rational in general, but there are also some cognitive behaviors worthy of notice. Information conflicts may incur doctor-patient conflicts and repetitive medical visits. Stakeholders should ensure the professionalism and quality of the information providers. The doctors should master the communication skills and pay attention to the potential impact of online health information.

Routine health information system utilization and factors associated thereof among health workers at government health institutions in East Gojjam Zone, Northwest Ethiopia.

BACKGROUND: Using reliable information from routine health information systems over time is an important aid to improving health outcomes, tackling disparities, enhancing efficiency, and encouraging innovation. In Ethiopia, routine health information utilization for enhancing performance is poor among health workers, especially at the peripheral levels of health facilities. Therefore, this study aimed to assess routine health information system utilization and associated factors among health workers at government health institutions in East Gojjam Zone, Northwest Ethiopia. METHODS: An institution based cross-sectional study was conducted at government health institutions of East Gojjam Zone, Northwest Ethiopia from April to May, 2013. A total of 668 health workers were selected from government health institutions, using the cluster sampling technique. Data collected using a standard structured and self-administered questionnaire and an observational checklist were cleaned, coded, and entered into Epi-info version 3.5.3, and transferred into SPSS version 20 for further statistical analysis. Variables with a p-value of less than 0.05 at multiple logistic regression analysis were considered statistically significant factors for the utilization of routine health information systems. RESULTS: The study revealed that 45.8% of the health workers had a good level of routine health information utilization. HMIS training [AOR = 2.72, 95% CI: 1.60, 4.62], good data analysis skills [AOR = 6.40, 95%CI: 3.93, 10.37], supervision [AOR = 2.60, 95% CI: 1.42, 4.75], regular feedback [AOR = 2.20, 95% CI: 1.38, 3.51], and favorable attitude towards health information utilization [AOR = 2.85, 95% CI: 1.78, 4.54] were found significantly associated with a good level of routine health information utilization. CONCLUSION: More than half of the health workers working at government health institutions of East Gojjam were poor health information users compared with the findings of others studies. HMIS training, data analysis skills, supervision, regular feedback, and favorable attitude were factors related to routine health information system utilization. Therefore, a comprehensive training, supportive supervision, and regular feedback are highly recommended for improving routine health information utilization among health workers at government health facilities.

A Theory on the Relativity of Factors Impacting the Utilization of Medical Information Services From the Pharmaceutical Industry.

Health care providers have many options for obtaining answers to their questions about pharmaceutical products. These options include drug information curators and aggregators such as ePocrates, WebMD, and Wikipedia, as well as professional journals. However, drug information obtained directly from a pharmaceutical company is arguably the best source of information regarding that company's medicine. This is because medical information (MI) professionals from the pharmaceutical industry have the product expertise, technical skills, and access to relevant information that enable current, evidence-based, and scientifically accurate information to be provided. Further, it is reasonable to assume that "good" information leads to better patient decisions and therefore better patient outcomes. Several factors are implicated in the use of a pharmaceutical company's medical information resource. These factors include, but are not limited to, awareness of the availability of the resource, ease of access, and trust of the information. In this paper, the authors discuss the relevance of these factors and propose an integrated relational theory (referred to as the "MI Theory of Relativity") to model the utilization and value of a medical information service.

Researches of Information Resources Integration and utilization in Hospital Libraries / 中华医学科研管理杂志

This paper first analysis of hospital library in the present situation of the literature resources construction and utilization of the network environment that includes Literature resource management modernization,Extensive use of electronic resources,Information isolated island phenomenon seriously,inaccurate Localization of library self role et.Based on the above analysis,the author puts forwards some suggestions in Hospital library information resource integration and utilization.

Using Logic Analysis to Evaluate Knowledge Transfer Initiatives: The Case of the Research Collective on the Organization of Primary Care Services.

Models that shift more responsibility onto researchers for the process of incorporating research results into decision-making have greatly gained in popularity during the past two decades. This shift has created a new area of research to identify the best ways to transfer academic results into the organizational and political arenas. However, evaluating the utilization of information coming out of a knowledge transfer (KT) initiative remains an enormous challenge. This article demonstrates how logic analysis has proven to be a useful evaluation method to assess the utilization potential of KT initiatives. We present the case of the evaluation of the Research Collective on the Organization of Primary Care Services, an innovative experiment in knowledge synthesis and transfer. The conclusions focus not only on the utilization potential of results coming out of the Research Collective, but also on the theoretical framework used, in order to facilitate its application to the evaluation of other knowledge transfer initiatives.