Online journal of public health informatics最新文献_第10页

Generation and Classification of Activity Sequences for Spatiotemporal Modeling of Human Populations. 人口时空建模中活动序列的生成与分类。

Online journal of public health informatics Pub Date : 2020-07-30 eCollection Date: 2020-01-01 DOI: 10.5210/ojphi.v12i1.10588

Albert M Lund, Ramkiran Gouripeddi, Julio C Facelli

引用次数: 6

Study of feasibility and effectiveness of ASHA-Soft (Online Payment and Performance Monitoring System) in Rajasthan. 在线支付与绩效监测系统在拉贾斯坦邦的可行性与有效性研究。

Online journal of public health informatics Pub Date : 2020-07-24 eCollection Date: 2020-01-01 DOI: 10.5210/ojphi.v12i1.10662

Nitin K Joshi, Pankaj Bhardwaj, Praveen Suthar, Vibha Joshi

{"title":"Study of feasibility and effectiveness of ASHA-Soft (Online Payment and Performance Monitoring System) in Rajasthan.","authors":"Nitin K Joshi, Pankaj Bhardwaj, Praveen Suthar, Vibha Joshi","doi":"10.5210/ojphi.v12i1.10662","DOIUrl":"https://doi.org/10.5210/ojphi.v12i1.10662","url":null,"abstract":"Objective: ASHA-Soft is the pioneer e-Health program which was launched to manage online payment and for monitoring performance of ASHA workers in Rajasthan. There is a paucity of studies which documents the feasibility and effectiveness of this program with aim to assess the feasibility and effectiveness of ASHA-Soft program.Methods: Study was conducted in Jodhpur using quantitative and qualitative method. Primary and secondary data approach was used to assess feasibility and effectiveness of ASHA-Soft. Purposive sampling was done to recruit 150 ASHA workers having experience of more than 5 years to capture the perception before and after implementation of ASHA-Soft. Qualitative data was also obtained from ASHA workers and key stakeholders. To assess the effectiveness secondary data was obtained from various sources was analyzed.Results: Mean age of participants were 35.51+ 6.7 years. Most of ASHAs agreed that ASHA-Soft mediated timely payment (68%) and payment according to their performance (81%). It also increased their motivational level (96%).There were no significant difference in different work experience of ASHAs and perception towards ASHA-Soft regarding timely payment (p=0.99), improving quality of life (p=0.66) and motivation level (p=0.40). This program has provided standard online procedure of online payment and monitoring for ASHAs. Incentives received by ASHAs increased to 77%, performance increased by 7% and 9% for maternal health and child health respectively within one year of its initial implementation.Conclusions: Study finding demonstrate that ASHA-Soft program is acceptable to the users and is effective in terms of meeting organizational requirement.","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"12 1","pages":"e12"},"PeriodicalIF":0.0,"publicationDate":"2020-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7462604/pdf/ojphi-12-1-e12.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38364088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Improving Accuracy for Diabetes Mellitus Prediction by Using Deepnet. 利用 Deepnet 提高糖尿病预测的准确性。

Online journal of public health informatics Pub Date : 2020-07-24 eCollection Date: 2020-01-01 DOI: 10.5210/ojphi.v12i1.10611

Riyad Alshammari, Noorah Atiyah, Tahani Daghistani, Abdulwahhab Alshammari

引用次数: 0

Clinical Decision Support for Immunization Uptake and Use in Immunization Health Information Systems. 免疫健康信息系统中免疫吸收和使用的临床决策支持。

Online journal of public health informatics Pub Date : 2020-07-24 eCollection Date: 2020-01-01 DOI: 10.5210/ojphi.v12i1.10602

Lauren Shrader, Stuart Myerburg, Eric Larson

{"title":"Clinical Decision Support for Immunization Uptake and Use in Immunization Health Information Systems.","authors":"Lauren Shrader, Stuart Myerburg, Eric Larson","doi":"10.5210/ojphi.v12i1.10602","DOIUrl":"https://doi.org/10.5210/ojphi.v12i1.10602","url":null,"abstract":"Context: In the United States, immunization recommendations and their associated schedules are developed by the Advisory Committee on Immunization Practices (ACIP). To assist with the translation process and better harmonize the outcomes of existing clinical decision support tools, the Centers for Disease Control and Prevention (CDC) created clinical decision support for immunization (CDSi) resources for each set of ACIP recommendations. These resources are continually updated and refined as new vaccine recommendations and clarifications become available and will be available to health information systems for a coronavirus disease 2019 (COVID-19) vaccine when one becomes available for use in the United States Objectives: To assess awareness of CDSi resources, whether CDSi resources were being used by immunization-related health information systems, and perceived impact of CDSi resources on stakeholders' work Design: Online surveys conducted from 2015-2019 including qualitative and quantitative questions Participants: The main and technical contact from each of the 64 CDC-funded immunization information system (IIS) awardees, IIS vendors, and electronic health record vendors Results: Awareness of at least one resource increased from 75% of respondents in 2015 to 100% in 2019. Use of at least one CDSi resource also increased from 47% in 2015 to 78% in 2019. About 80% or more of users of CDSi are somewhat or very highly satisfied with the resources and report a somewhat or very positive impact from using them Conclusion: As awareness and use of CDSi resources increases, the likelihood that patients receive recommended immunizations at the right time will also increase. Rapid and precise integration of vaccine recommendations into health information systems will be particularly important when a COVID-19 vaccine becomes available to help facilitate vaccine implementation.","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"12 1","pages":"e10"},"PeriodicalIF":0.0,"publicationDate":"2020-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7462520/pdf/ojphi-12-1-e10.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38364086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Current Approaches and Trends in Graduate Public Health Informatics Education in the United States: Four Case Studies from the Field. 美国研究生公共卫生信息学教育的当前方法和趋势:来自该领域的四个案例研究。

Online journal of public health informatics Pub Date : 2020-07-08 eCollection Date: 2020-01-01 DOI: 10.5210/ojphi.v12i1.10703

Diane G Schwartz, Scott P McGrath, Karen A Monsen, Brian E Dixon

{"title":"Current Approaches and Trends in Graduate Public Health Informatics Education in the United States: Four Case Studies from the Field.","authors":"Diane G Schwartz, Scott P McGrath, Karen A Monsen, Brian E Dixon","doi":"10.5210/ojphi.v12i1.10703","DOIUrl":"https://doi.org/10.5210/ojphi.v12i1.10703","url":null,"abstract":"Background:Public Health Informatics (PHI) has taken on new importance in recent years as health and well-being face a number of challenges, including environmental disasters, emerging infectious diseases, such as Zika, Ebola and SARS-CoV-2, the growing impact of the Influenza virus, the opioid epidemic, and social determinants of health. Understanding the relationship between climate change and the health of populations adds further complexity to global health issues. Objectives: To describe four examples of curricula that exist in U.S. based graduate-level public and population health informatics training programs. Methods: Biomedical informatics educators are challenged to provide learners with relevant, interesting, and meaningful educational experiences in working with and learning from the many data sources that comprise the domain of PHI. Programs at four institutions were reviewed to examine common teaching practices that stimulate learners to explore the field of public health informatics. Results: Four case studies represent a range of pedagogical approaches to meeting the requirements of three established accreditation/certification agencies relevant to PHI education. Despite their differences, each program achieved the established learning objectives along with a substantive record of student learning achievements. Conclusion: The overarching goal of empowering learners to serve an active and dynamic role in enhancing preventive measures, informing policy, improving personal health behaviors, and clarifying issues such as quality, cost of care, and the social determinants of health, are essential components of PHI education and training, and must receive additional consideration now and in the future by educators, policy makers, administrators, and government officials.","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"12 1","pages":"e7"},"PeriodicalIF":0.0,"publicationDate":"2020-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386057/pdf/ojphi-12-1-e7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38221008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Mobile phone-based Multimedia Application Could improve Maternal Health in Rural Southwestern Uganda: Mixed Methods Study. 基于移动电话的多媒体应用可以改善乌干达西南部农村的孕产妇健康:混合方法研究。

Online journal of public health informatics Pub Date : 2020-07-08 eCollection Date: 2020-01-01 DOI: 10.5210/ojphi.v12i1.10557

Angella Musiimenta, Wilson Tumuhimbise, Godfrey Mugyenyi, Jane Katusiime, Esther C Atukunda, Niels Pinkwart

{"title":"Mobile phone-based Multimedia Application Could improve Maternal Health in Rural Southwestern Uganda: Mixed Methods Study.","authors":"Angella Musiimenta, Wilson Tumuhimbise, Godfrey Mugyenyi, Jane Katusiime, Esther C Atukunda, Niels Pinkwart","doi":"10.5210/ojphi.v12i1.10557","DOIUrl":"https://doi.org/10.5210/ojphi.v12i1.10557","url":null,"abstract":"Background: Reducing maternal and infant mortality rates remains challenging. Illiteracy, lack of reliable information, long distances to health centers continue to limit access to quality maternal healthcare in Uganda. Mobile health technologies could be promising affordable strategies for enhancing access to maternal health services. However, there is lack of studies assessing the experiences of illiterate rural pregnant women regarding these technologies. Objective: To explore how illiterate pregnant women perceive a maternal health mobile application composed of tailored video and audio messages, appointment reminders and calling function. Methods: We purposively sampled illiterate pregnant women initiating antenatal care at Mbarara Regional Referral Hospital. We carried out three focus group discussions with 14 women to elicit information on perceptions of the proposed mobile phone based multimedia application. We used STATA 13 to describe study participants and their preferences. Results: Pregnant women anticipated that intervention would enhance maternal health by reminding them to attend antenatal appointments, enabling transport cost and time saving, providing tailored information that is easy to understand, and recall. However, financial constraints and phone sharing would limit the functionality. Conclusion: Mhealth application may provide acceptable and affordable alternative approaches to providing maternal health services, especially in settings where face-to-face approaches are challenging.","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"12 1","pages":"e8"},"PeriodicalIF":0.0,"publicationDate":"2020-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386055/pdf/ojphi-12-1-e8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38221009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Molecular Epidemiological Information System to Support Management of Multidrug-Resistant Tuberculosis in Thailand: Abstract. 支持泰国耐多药结核病管理的分子流行病学信息系统:摘要。

Online journal of public health informatics Pub Date : 2020-06-26 eCollection Date: 2020-01-01 DOI: 10.5210/ojphi.v12i1.10416

Areeya Disratthakit, Penpitcha Thawong, Pundharika Piboonsiri, Surakameth Mahasirimongkol

{"title":"Molecular Epidemiological Information System to Support Management of Multidrug-Resistant Tuberculosis in Thailand: Abstract.","authors":"Areeya Disratthakit, Penpitcha Thawong, Pundharika Piboonsiri, Surakameth Mahasirimongkol","doi":"10.5210/ojphi.v12i1.10416","DOIUrl":"https://doi.org/10.5210/ojphi.v12i1.10416","url":null,"abstract":"Objective: To support the End TB strategy with an informatics system that integrates genomic data and the geographic information system (GIS) of Mycobacterium tuberculosis (MTB) clinical isolates. We aim to develop a system prototype for implementing genomic data to support multiple drug-resistant tuberculosis (MDR-TB) control.Methods: A 12-step data value chain was applied to describe the information flow within the system. A prototyping-oriented system development method was utilized to test the feasibility of certain technical aspects of a system, and as specification tools to determine user requirements. A simulated dataset was entered as input for initial system testing.Results: System prototype, namely Integrated MOL Outbreak detection and Joint investigation (iMoji), was established. The data entry modules consisted of (1) patient registration, (2) sample registration, (3) laboratory data entry and data analysis, and (4) verification and approval of the analyzed data. The initial system test demonstrated connectivity among modules without error. The system was able to report integrated genomic data and GIS information of MDR-TB for clustering analysis.Conclusion: iMoji provides an interactive model for determining molecular epidemiological links of MDR-TB and corresponding spatial information to guide public health interventions for tuberculosis control.","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"12 1","pages":"e5"},"PeriodicalIF":0.0,"publicationDate":"2020-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386062/pdf/ojphi-12-1-e5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38221006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Opportunities and Challenges for Developing Syndromic Surveillance Systems for the Detection of Social Epidemics. 发展综合征监测系统以检测社会流行病的机遇和挑战。

Online journal of public health informatics Pub Date : 2020-06-18 eCollection Date: 2020-01-01 DOI: 10.5210/ojphi.v12i1.10579

David Scales

{"title":"Opportunities and Challenges for Developing Syndromic Surveillance Systems for the Detection of Social Epidemics.","authors":"David Scales","doi":"10.5210/ojphi.v12i1.10579","DOIUrl":"https://doi.org/10.5210/ojphi.v12i1.10579","url":null,"abstract":"This commentary explores the potential and challenges of developing syndromic surveillance systems with the ability to more rapidly detect epidemics of addiction, poverty, housing instability, food insecurity, social isolation and other social determinants of health (SDoH). Epidemiologists tracking SDoH heavily rely on expensive government surveys released annually, delaying for months if not years the timely detection of social epidemics, defined as sudden, rapid or unexpected changes in social determinants of population health. Conversely, infectious disease syndromic surveillance is an effective early warning tool for epidemic diseases using various types of non-traditional epidemiological data from emergency room chief complaints to search query data. Based on such experience, novel social syndromic surveillance systems for early detection of social epidemics with health implications are not only possible but necessary. Challenges to their widespread implementation include incorporating disparate proprietary data sources and database integration. Significantly more resources are critically needed to address these barriers to allow for accessing, integrating and rapidly analyzing appropriate data streams to make syndromic surveillance for social determinants of health widely available to public health professionals.","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"12 1","pages":"e6"},"PeriodicalIF":0.0,"publicationDate":"2020-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386056/pdf/ojphi-12-1-e6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38221007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Personality and Subjective Well-Being: Towards Personalized Persuasive Interventions for Health and Well-Being. 人格和主观幸福感:走向个性化的健康和幸福的说服性干预。

Online journal of public health informatics Pub Date : 2020-05-16 eCollection Date: 2020-01-01 DOI: 10.5210/ojphi.v12i1.10335

Aisha Muhammad Abdullahi, Rita Orji, Abbas Muhammad Rabiu, Abdullahi Abubakar Kawu

{"title":"Personality and Subjective Well-Being: Towards Personalized Persuasive Interventions for Health and Well-Being.","authors":"Aisha Muhammad Abdullahi, Rita Orji, Abbas Muhammad Rabiu, Abdullahi Abubakar Kawu","doi":"10.5210/ojphi.v12i1.10335","DOIUrl":"https://doi.org/10.5210/ojphi.v12i1.10335","url":null,"abstract":"Subjective well-being (SWB) is an individual's judgment about their overall well-being. Research has shown that activities that elevate people's sense of SWB have a significant effect on their overall health. There are two dimensions of SWB: Affective and Cognitive dimensions. However, studies on SWB usually focus more on one dimension, ignoring the other dimension. Also, most existing studies on SWB focused on individuals from Western cultures. Research has shown that the influence of personality on subjective well-being is moderated by culture. Thus, to advance research in personalizing persuasive health interventions, this study focuses on Africans (n=732). Specifically, we investigate the relationship between the Big-Five personality traits and both dimensions of SWB using the constructs: Happiness, Satisfaction with Life, Social, Psychological and Emotional well-being. Our results reveal that health informatics designers who design persuasive technologies to promote SWB would need to tailor designs along personality traits and SWB constructs. Accordingly, for users high in Agreeableness, the design should be focus on promoting their feelings of Happiness and Social Well-being. For users who exhibit Neuroticism, designers should focus on designing to promote Psychological well-being and Emotional well-being. Based on our findings, we offer guidelines for tailoring persuasive health interventions to promote individuals' SWB based on their personality. We thus highlight areas personal health informatics design can benefit.Ccs concepts: • Human-centered computing → Personalization → HCI design and evaluation methods → User models.","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"12 1","pages":"e1"},"PeriodicalIF":0.0,"publicationDate":"2020-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289121/pdf/ojphi-12-1-e1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38057502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Understanding Discussions of Health Issues on Twitter: A Visual Analytic Study. 理解Twitter上健康问题的讨论:一项视觉分析研究。

Online journal of public health informatics Pub Date : 2020-05-16 eCollection Date: 2020-01-01 DOI: 10.5210/ojphi.v12i1.10321

Oluwakemi Ola, Kamran Sedig

{"title":"Understanding Discussions of Health Issues on Twitter: A Visual Analytic Study.","authors":"Oluwakemi Ola, Kamran Sedig","doi":"10.5210/ojphi.v12i1.10321","DOIUrl":"https://doi.org/10.5210/ojphi.v12i1.10321","url":null,"abstract":"Social media allows for the exploration of online discussions of health issues outside of traditional health spaces. Twitter is one of the largest social media platforms that allows users to post short comments (i.e., tweets). The unrestricted access to opinions and a large user base makes Twitter a major source for collection and quick dissemination of some health information. Health organizations, individuals, news organizations, businesses, and a host of other entities discuss health issues on Twitter. However, the enormous number of tweets presents challenges to those who seek to improve their knowledge of health issues. For instance, it is difficult to understand the overall sentiment on a health issue or the central message of the discourse. For Twitter to be an effective tool for health promotion, stakeholders need to be able to understand, analyze, and appraise health information and discussions on this platform. The purpose of this paper is to examine how a visual analytic study can provide insight into a variety of health issues on Twitter. Visual analytics enhances the understanding of data by combining computational models with interactive visualizations. Our study demonstrates how machine learning techniques and visualizations can be used to analyze and understand discussions of health issues on Twitter. In this paper, we report on the process of data collection, analysis of data, and representation of results. We present our findings and discuss the implications of this work to support the use of Twitter for health promotion.","PeriodicalId":74345,"journal":{"name":"Online journal of public health informatics","volume":"12 1","pages":"e2"},"PeriodicalIF":0.0,"publicationDate":"2020-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7295584/pdf/ojphi-12-1-e2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38083169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4