scholarly journals Observational Data Exploration Via Online Tool For For Drugs and Cancer Risk

Author(s):  
Usman Iqbal ◽  
Phung Anh Nguyen ◽  
Shabbir Syed-Abdul ◽  
Wen-Shan Jian ◽  
Yu-Chuan Jack Li

ABSTRACTObjectiveRapid change in health information technology system had dramatically increased health data accumulated. We aimed to develop an online informatics tool in order to evaluate the risk of drugs for cancer by utilizing medical big data. Data SourceWe use the Taiwan’s National Health Insurance Database that has provided a huge data which covered all health information including characteristics and all drug information i.e. prescriptions, etc. of 23 million Taiwanese population. Front-end development: Web-based interface was developed by using PHP package and Javascript. In addition, we included the guidelines of evidence based medicine (EBM) level 3 for observational study such as cohort, case-control, and/or case serial self-control in order to support users interact with system. Back-end development: A package of Apache, MySQL & PHP was used to build the serve-side of the system. We integrated the Elasticsearch API5 to our system in order to search and analyze data immediately. The example of data transform to person-level from Taiwan NHI database is shown in Box 1. After then, we also integrated the analytics package (ie. R package) to perform the statistical analysis to a given study. This online analytical tool has capability to massively explore and visualize big data for long term use drugs and cancers through OMOSC system which will help to do mass online studies for long term use drugs and cancer risk. It would help to direct the health care professionals with lack of datamining skills to lead the study. The constructed online system would generate automatically case and controls by utilizing large databases for long term drug exposures and cancer risk. ResultsThe results are shown in odds ratio (OR) and if selected some confounding factors then could also get adjusted odds ratio (AOR) for risk estimation with 95% Confidence Intervals (CI). We used SAS statistical software on the same dataset to validate the OMOSC system results. It could help to do massive online studies which will saves time and cost effective. ConclusionSince the clinical trials are impossible to conduct due to cultural, cost, ethical, political or social obstacles. Therefore, this kind of research model would play an important role in health care industry by providing an excellent opportunities for solving the technological, informatics, and organizational issues towards other broad domains of drugs evaluation by utilizing large-scale databases.

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
◽  

Abstract Countries have a wide range of lifestyles, environmental exposures and different health(care) systems providing a large natural experiment to be investigated. Through pan-European comparative studies, underlying determinants of population health can be explored and provide rich new insights into the dynamics of population health and care such as the safety, quality, effectiveness and costs of interventions. Additionally, in the big data era, secondary use of data has become one of the major cornerstones of digital transformation for health systems improvement. Several countries are reviewing governance models and regulatory framework for data reuse. Precision medicine and public health intelligence share the same population-based approach, as such, aligning secondary use of data initiatives will increase cost-efficiency of the data conversion value chain by ensuring that different stakeholders needs are accounted for since the beginning. At EU level, the European Commission has been raising awareness of the need to create adequate data ecosystems for innovative use of big data for health, specially ensuring responsible development and deployment of data science and artificial intelligence technologies in the medical and public health sectors. To this end, the Joint Action on Health Information (InfAct) is setting up the Distributed Infrastructure on Population Health (DIPoH). DIPoH provides a framework for international and multi-sectoral collaborations in health information. More specifically, DIPoH facilitates the sharing of research methods, data and results through participation of countries and already existing research networks. DIPoH's efforts include harmonization and interoperability, strengthening of the research capacity in MSs and providing European and worldwide perspectives to national data. In order to be embedded in the health information landscape, DIPoH aims to interact with existing (inter)national initiatives to identify common interfaces, to avoid duplication of the work and establish a sustainable long-term health information research infrastructure. In this workshop, InfAct lays down DIPoH's core elements in coherence with national and European initiatives and actors i.e. To-Reach, eHAction, the French Health Data Hub and ECHO. Pitch presentations on DIPoH and its national nodes will set the scene. In the format of a round table, possible collaborations with existing initiatives at (inter)national level will be debated with the audience. Synergies will be sought, reflections on community needs will be made and expectations on services will be discussed. The workshop will increase the knowledge of delegates around the latest health information infrastructure and initiatives that strive for better public health and health systems in countries. The workshop also serves as a capacity building activity to promote cooperation between initiatives and actors in the field. Key messages DIPoH an infrastructure aiming to interact with existing (inter)national initiatives to identify common interfaces, avoid duplication and enable a long-term health information research infrastructure. National nodes can improve coordination, communication and cooperation between health information stakeholders in a country, potentially reducing overlap and duplication of research and field-work.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kathrine Håland Jeppesen ◽  
Kirsten Frederiksen ◽  
Marianne Johansson Joergensen ◽  
Kirsten Beedholm

Abstract Background From 2014 to 17, a large-scale project, ‘The User-involving Hospital’, was implemented at a Danish university hospital. Research highlights leadership as crucial for the outcome of change processes in general and for implementation processes in particular. According to the theory on organizational learning by Agyris and Schön, successful change requires organizational learning. Argyris and Schön consider that the assumptions of involved participants play an important role in organizational learning and processes. The purpose was to explore leaders’ assumptions concerning implementation of patient involvement methods in a hospital setting. Methods Qualitative explorative interview study with the six top leaders in the implementation project. The semi-structured interviews were conducted and analyzed in accordance with Kvale and Brinkmanns’ seven stages of interview research. Result The main leadership assumptions on what is needed in the implementation process are in line with the perceived elements in organizational learning according to the theory of Argyris and Schön. Hence, they argued that implementation of patient involvement requires a culture change among health care professionals. Two aspects on how to obtain success in the implementation process were identified based on leadership assumptions: “The health care professionals’ roles in the implementation process” and “The leaders’ own roles in the implementation process”. Conclusion The top leaders considered implementation of patient involvement a change process that necessitates a change in culture with health care professionals as crucial actors. Furthermore, the top leaders considered themselves important facilitators of this implementation process.


2012 ◽  
Vol 6 (3) ◽  
pp. 293-301 ◽  
Author(s):  
Charles H. Tator

There has been a remarkable increase in the past 10 years in the awareness of concussion in the sports and recreation communities. Just as sport participants, their families, coaches, trainers, and sports organizations now know more about concussions, health care professionals are also better prepared to diagnose and manage concussions. As has been stated in the formal articles in this special issue on sport-related concussion, education about concussion is one of the most important aspects of concussion prevention, with the others being data collection, program evaluation, improved engineering, and introduction and enforcement of rules. Unfortunately, the incidence of concussion appears to be rising in many sports and thus, additional sports-specific strategies are required to reduce the incidence, short-term effects, and long term consequences of concussion. Enhanced educational strategies are required to ensure that individual participants, sports organizations, and health care professionals recognize concussions and manage them proficiently according to internationally recognized guidelines. Therefore, this paper serves as a “brief report” on a few important aspects of concussion education and prevention.


2020 ◽  
Author(s):  
Cynthia Lamper ◽  
Ivan PJ Huijnen ◽  
Mariëlle EAL Kroese ◽  
Albère J Köke ◽  
Gijs Brouwer ◽  
...  

Abstract Background and aims: Integration of care is lacking for chronic musculoskeletal pain (CMP) patients. Network Pain Rehabilitation Limburg (NPRL), a transmural health care network, has been designed to provide integrated rehabilitation care from a biopsychosocial perspective to improve patients’ levels of functioning. This feasibility study aims to provide insight into barriers and facilitators for the development, implementation, and transferability of NPRL.Methods: This study was conducted with a three-phase iterative and incremental design from October 2017 to October 2018. NPRL comprises two rehabilitation practices, and three local primary care networks, with a general practitioner together with, a mental health practice nurse, and a physiotherapist or exercise therapist. These stakeholders with a random sample of participating patients took part in evaluations, consisting of interviews, focus groups, and observations. Field notes and observations were recorded during meetings. The Consolidated Framework for Implementation Research guided data collection and analysis. Results were used to refine the next phase.Results: According to health care professionals (HCPs), guidelines and treatment protocols facilitate consistency and transparency in collaboration, biopsychosocial language, and treatment. One barrier is stigmatization of CMP in society. Non-participating HCPs’ treatment approaches are often more biomedical than biopsychosocial, causing patients to resist participating in NPRL. The current organization of health care, with cultural, structural, and financial aspects, acts as a barrier, complicating implementation between and within practices. HCPs preferred the iterative, bottom-up strategy. A critical mass of participating organizations is needed for proper implementation.Conclusion: NPRL is feasible in daily practice if barriers are overcome and facilitators of development, implementation, and transferability are promoted. These findings will be used to refine NPRL. A large-scale process and effect evaluation will be performed. Our implementation strategies and results may assist other health care organizations aspiring to implement a transmural network using a similar model.


Author(s):  
Karin Hugelius ◽  
Sara Johansson ◽  
Helena Sjölin

This study aimed to describe experiences of managing mental health and psychosocial activities during the first six months of the COVID-19 pandemic in Sweden. A national survey was answered by a non-probability sample of 340 involved in the psychosocial response. The psychosocial response operations met several challenges, mainly related to the diverse actors involved, lack of competence, and lack of preparations. Less than 80% of the participants had received specific training in the provision of psychosocial support during major incidents. The interventions used varied, and no large-scale interventions were used. The psychosocial response organizations were overwhelmed by the needs of health care staff and failed to meet the needs of patients and family members. An efficient and durable psychosocial response in a long-term crisis requires to be structured, planned and well-integrated into the overall pandemic response. All personnel involved need adequate and specific competence in evidence-based individual and large-scale interventions to provide psychosocial support in significant incidents. By increasing general awareness of mental wellbeing and psychosocial support amongst health professionals and their first-line managers, a more resilient health care system, both in everyday life and during major incidents and disasters, could be facilitated.


2021 ◽  
Author(s):  
◽  
Sera Tapu-Ta'ala

<p>Background Pacific people are dying younger compared to other New Zealanders because of complications resulting from uncontrolled type 2 diabetes mellitus. Good diabetes control is achievable with early use of insulin because of its effectiveness, and proven long term benefits to quality of life. An understanding of how Samoan people with type 2 diabetes make their transition to insulin therapy will assist in understanding how insulin is perceived, which will inform health care professionals in their work with those diagnosed with diabetes. Aim of Research The aim of the research is to explore and describe how Samoan people with type 2 diabetes in New Zealand made the transition to insulin therapy for better glycaemic control. Design The Fonofale Model was used as the theoretical framework, from which to understand Samoan peoples' experiences. This research used a qualitative descriptive methodology. In-depth interviews were used to gather the stories of four Samoan participants over the age of 18 years diagnosed with type 2 diabetes. The data was analysed using thematic analysis. Findings Three major themes emerged from the analysis of the participants' stories. These were: living with diabetes, making the transition to insulin therapy and realisation. The findings led to the creation of the Ia Malu model, which describes the experiences of the participants in this study. Conclusion This study confirmed that there are immense challenges and struggles encountered by people with diabetes. Their adjustment to the illness as well as making the transition to using insulin takes time. As a result of this, it is fundamental for nurses/health care professionals to understand that this is the reality for these people, and they must therefore provide time for people to adjust.</p>


2019 ◽  
Author(s):  
Anat Gesser-Edelsburg ◽  
Nour Abed Elhadi Shahbari ◽  
Ricky Cohen ◽  
Adva Mir Halavi ◽  
Rana Hijazi ◽  
...  

BACKGROUND In the new media age, the public searches for information both online and offline. Many studies have examined how the public reads and understands this information but very few investigate how people assess the quality of journalistic articles as opposed to information generated by health professionals. OBJECTIVE The aim of this study was to examine how public health care workers (HCWs) and the general public seek, read, and understand health information and to investigate the criteria by which they assess the quality of journalistic articles. METHODS A Web-based nonprobability sampling questionnaire survey was distributed to Israeli HCWs and members of the public via 3 social media outlets: Facebook, WhatsApp, and Instagram. A total of 979 respondents participated in the online survey via the Qualtrics XM platform. RESULTS The findings indicate that HCWs find academic articles more reliable than do members of the general public (44.4% and 28.4%, respectively, P<.001). Within each group, we found disparities between the places where people search for information and the sources they consider reliable. HCWs consider academic articles to be the most reliable, yet these are not their main information sources. In addition, HCWs often use social networks to search for information (18.2%, P<.001), despite considering them very unreliable (only 2.2% found them reliable, P<.001). The same paradoxes were found among the general public, where 37.5% (P<.001) seek information via social networks yet only 8.4% (P<.001) find them reliable. Out of 6 quality criteria, 4 were important both to HCWs and to the general public. CONCLUSIONS In the new media age where information is accessible to all, the quality of articles about health is of critical importance. It is important that the criteria examined in this research become the norm in health writing for all stakeholders who write about health, whether they are professional journalists or citizen journalists writing in the new media.


2018 ◽  
Vol Volume 12 ◽  
pp. 2233-2241
Author(s):  
Carla Colombo ◽  
Paola Catastini ◽  
Anna Brivio ◽  
Benedetto Acone ◽  
Patricia Dang ◽  
...  

2019 ◽  
Vol 26 (1) ◽  
pp. 107327481984144 ◽  
Author(s):  
Jinhai Huo ◽  
Raj Desai ◽  
Young-Rock Hong ◽  
Kea Turner ◽  
Arch G. Mainous ◽  
...  

The number of social media users has increased substantially in the past decade, creating an opportunity for health-care professionals and patients to leverage social media for health communication. This study examines the recent use and predictors of social media for health communication in a nationally representative sample of US adults over time. We used 2013, 2014, and 2017 National Cancer Institute’s Health Information National Trends Survey to identify respondents’ use of social media for sharing health information or exchanging medical information with a health-care professional. We conducted bivariate analysis using the Pearson χ2 test to assess the association of respondents’ basic demographic characteristics as well as health status and the use of social media for health communication. We performed multivariable logistic regression models to examine factors associated with the use of social media for health communication. We identified 4242 respondents (weighted sample size: 343 465 241 [2-year pooled sample]) who used social media for sharing health information and 4834 respondents (weighted sample size: 354 419 489 [2-year pooled sample]) who used social media for exchanging medical information. Multivariable analyses indicated the proportion of respondents who used social media for sharing health information has decreased (odds ratio [OR], 0.65; 95% confidence interval [CI], 0.49-0.85, P = .002), while the use of social media for exchanging medical information with a health-care professional has increased (OR, 1.88; 95% CI, 1.09-3.26, P = .025). The younger population had significantly higher odds of using social media for health communication. The study found no racial/ethnic disparities in the use of social media for health communication. Use of social media for sharing health information has declined, while exchanging medical information with health-care professionals has increased. Future research is needed to determine how to engage the population in social media–based health interventions, particularly for older adults.


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