scholarly journals Aspects of User Profiling in Computer-based Health Information Tailoring Systems: A Narrative Review

2017 ◽  
Vol 1 (4) ◽  
pp. 105-106
Author(s):  
Azadeh Kamel Ghalibaf ◽  
Zahra Mazloum Khorasani ◽  
Mahdi Gholian Aval ◽  
Mahmood Tara
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Computer Science ◽  
Health Information ◽  
Critical Role ◽  
Internal Representation ◽  
User Profile ◽  
Narrative Review ◽  
Computer Tailoring ◽  
Information Tailoring

Introduction: The recent shift from the conventional physician-centered approach to the more polpular approach that with the focuse on patient as the center of healthcare, emphaizes on the critical role of informing and educating patients. Studies shown that tailoring health information to the needs of individuals is more effective than generic materials. Recent improvements in the fields of computer science and Information Communication Technology have made it possible to computerize such an adaptation process. Information tailoring systems use an internal representation of user conditions and needs, which is referred to as a “user model” or “user profile.” A user profile represents the system’s beliefs about the user. Hence, it may simply contain demographic information or sophisticated factors such as the state of the disease, user’s attitude, interest, preference, and knowledge. The user profile is known as the basis for designing other system components and has a great impact on the acceptance of the system by the user and the quality of the tailored information. To the best of our knowledge, no studies have been conducted so far to analyze and classify user profile aspects and characteristics. In this systematic narrative review, we aim to provide aspects of profiling in health information tailoring systems based on literature from different disciplines. Methods: comprehensive searches of the PubMed and Scopus databases have been conducted. We searched among English papers with publishing dates ranging from 1990 onward; since that is when computer-tailoring first appeared within the literature. we have devised a list of terms pertinent to the main concepts of computer-tailoring and used a qualitative–interpretive approach for data extraction. Results: Analyzing the data from 32 eligible studies, we found three aspects in designing a tailoring user profile. Each aspect with its characteristics are provided below: 1-Identifying common factors used in profiles and classifying these factors thematically, which has three attributes: The number of factors used to design the user profile and their diversity (e.g. demographic,clinical,behavioral information, learning style and so forth) The approaches used to Identify effective factors in tailoring (e.g. evidence-based, avalible data sources) Attributes of the factors (e.g. long-term/short-term, static/dynamic)  2-Data collection tools and methods, which has two attributes: Data collection methods (e.g. explicit, implicit, mixed) Assessment tool (e.g. questionnaire, patient record) 3-Data interpretation that demonstrates to what extent the collected data needs to be analyzed to use in tailoring. we have also identified two main approaches regarding tailoring: public health and computational tailoring. Public Health communication researcher has relied greatly on health behavior models but generally has used simpler technological approaches, whereas computer science employed more advanced technological approaches but integrated behavior theory to a lesser extent. These two approaches complete each other to provide the necessary requirements for designing a practical tailoring system in future studies. Conclusion: In this study we investigate different aspects of designing a user profile in health information tailoring systems. The proposed model is a valuable guide for new researchers in the field. Results from this review provide a comprehensive overview of the field and will help researchers to combine effective methods from across the disciplines in future research.

scholarly journals Comprehensive overview of computer-based health information tailoring: a scoping review protocol

BMJ Open ◽  
2017 ◽  
Vol 7 (12) ◽  
pp. e019215 ◽  
Author(s):  
Azadeh Kamel Ghalibaf ◽  
Elham Nazari ◽  
Mahdi Gholian-Aval ◽  
Hamed Tabesh ◽  
Mahmood Tara
Keyword(s):  
Health Information ◽  
Scoping Review ◽  
Secondary Analysis ◽  
Research Gaps ◽  
Theoretical Frameworks ◽  
Computer Tailoring ◽  
Comprehensive Overview ◽  
Wide Range ◽  
Computer Based ◽  
Information Tailoring

IntroductionTailoring health information to the needs of individuals has become an important part of modern health communications. Tailoring has been addressed by researchers from different disciplines leading to the emergence of a wide range of approaches, making the newcomers confused. In order to address this, a comprehensive overview of the field with the indications of research gaps, tendencies and trends will be helpful. As a result, a systematic protocol was outlined to conduct a scoping review within the field of computer-based health information tailoring.Methods and analysisThis protocol is based on the York’s five-stage framework outlined by Arksey and O’Malley. A field-specific structure was defined as a basis for undertaking each stage. The structure comprised three main aspects:system design,information communicationandevaluation. Five leading databases were searched: PubMed, Scopus, Science Direct, EBSCO and IEEE and a broad search strategy was used with less strict inclusion criteria to cover the breadth of evidence. Theoretical frameworks were used to develop the data extraction form and a rigorous approach was introduced to identify the categories from data. Several explanatory-descriptive methods were considered to analyse the data, from which some were proposed to be employed for the first time in scoping studies.Ethics and disseminationThis study investigates the breadth and depth of existing literature on computer-tailoring and as a secondary analysis, does not require ethics approval. We anticipate that the results will identify research gaps and novel ideas for future studies and provide direction to combine methods from different disciplines. The research findings will be submitted for publication to relevant peer-reviewed journals and conferences targeting health promotion and patient education.

scholarly journals Identification of the essential components of quality in the data collection process for public health information systems

2019 ◽  
Vol 26 (1) ◽  
pp. 664-682 ◽  
Author(s):  
Hong Chen ◽  
Ping Yu ◽  
David Hailey ◽  
Tingru Cui
Keyword(s):  
Public Health ◽  
Information Systems ◽  
Data Collection ◽  
Health Information ◽  
Health Information Systems ◽  
Factors Affecting ◽  
Collection Process ◽  
Data Collection Process ◽  
Essential Components ◽  
Public Health Information

This study identifies essential components in the data collection process for public health information systems based on appraisal and synthesis of the reported factors affecting this process in the literature. Extant process assessment instruments and studies of public health data collection from electronic databases and the relevant institutional websites were reviewed and analyzed following a five-stage framework. Four dimensions covering 12 factors and 149 indicators were identified. The first dimension, data collection management, includes data collection system and quality assurance. The second dimension, data collector, is described by staffing pattern, skill or competence, communication and attitude toward data collection. The third, information system, is assessed by function and technology support, integration of different data collection systems, and device. The fourth dimension, data collection environment, comprises training, leadership, and funding. With empirical testing and contextual analysis, these essential components can be further used to develop a framework for measuring the quality of the data collection process for public health information systems.

scholarly journals INFLUENCE OF SOURCE OF DATA, INFORMATION FLOWS AND EXCHANGE PLATFORMS ON LEVEL OF HIS FEEDBACK IN PUBLIC HEALTH FACILITIES

2021 ◽  
Vol 2 (1) ◽  
pp. 43-53
Author(s):  
Alex Miningwa
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Health Information ◽  
Health Sector ◽  
Health Facilities ◽  
Empirical Literature ◽  
Information Flows ◽  
Information Process ◽  
Ministry Of Health ◽  
Public Health Facilities

Purpose: Data collection is the first step of the information process within the health information system, so health information systems are often classified according to data collection method. The general objective of the study was to evaluate influence of source of data, information flows and exchange platforms on level of HIS feedback in public health facilities Methodology: The paper used a desk study review methodology where relevant empirical literature was reviewed to identify main themes and to extract knowledge gaps. Findings: The study concludes that there was feedback at all levels in the HIS. The feedback was on referrals, disease prevalence rates and policy implementation. The feedback was beneficial in terms of helping the health facilities improve data collection, information processing and general implementation of the Health policies. Feedback provided was relevant especially from the Ministry of Health. Recommendations: There is need for Ministry of Health should to increase interaction (feedback) with the lower level health facilities. Ministry of Health should give priority to all health facilities in terms of processing information obtained and feedback given on timely basis. This will improve decision making in all facilities that share information through HIS. Moreover ministry of Health and Administrators of Health facilities should strengthen HIS for the benefit of improving service delivery in the Health Sector. This can be through increasing capacity of the HIS to satisfy needs of all stakeholders

scholarly journals Workshop: Leveraging evidence for policy making: lessons from the European Joint Action on Health Information

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
Keyword(s):  
Public Health ◽  
Health Policy ◽  
Data Collection ◽  
Health Information ◽  
Data Sharing ◽  
Joint Action ◽  
Policy Development ◽  
Policy Making ◽  
Data Reuse ◽  
Evidence For Policy

Abstract Leveraging evidence to inform best practices in health policy and health care is pivotal for better health outcomes. This has been widely recognized by international organizations such as the World Health Organization, and national health authorities. Health information (data on health and health systems) can be used to inform interventions at national, regional and local level. However, getting evidence into the hands of key stakeholders is still a challenge in many European countries. There are many obstacles, for instance interoperability between data systems is an issue, and the resources allocated for health reporting and monitoring are sometimes insufficient. There is an uneven evolution of data collection practices across Europe which may imply differences in the capacity to use evidence for policy development. While public health agencies aim to improve health for all, building bridges for better knowledge translation requires tools to pave the way forward. As the nature and volume of data that are generated increases, countries increasingly need frameworks with which to appraise, and apply evidence. This relies on the innovative use of health information in public health and the health policy process, and increased solidarity in data sharing among actors in the health system. This workshop aims to provide delegates with a clear understanding of the strategies that can support the use of evidence in the European context. Five case examples from the European Joint Action on Health information (InfAct) will be presented. The panelists will provide solutions that support the transfer of knowledge from scientific research, and public health surveillance into policies and innovative programmes. The objectives are two-fold: 1) to provide delegates with an overview of the accessibility of health information for public health policy in EU-Member States; 2) to present solutions that focus on better data sharing, and new roles for stakeholders working in health and policy. The workshop will begin with an introduction to the latest developments in health data collection, quality assessment, and on the availability of health information in Europe. Next, strategies to prioritize health information for policy development will be presented. Across countries, there is increasing interest on how to use “real world data” which requires an understanding of the interoperability frameworks available in Europe - this will be the focus of the third and fourth presentations. Finally, a new tool for evaluating the impact of health information developed with input from European experts in 38 countries will be introduced. The session will have an outcomes-oriented approach. We will build on the opportunity for interactive exchange with the delegates. Dialogue on what can be done, and what is needed to leverage data for action will be transcribed. This will inform a commentary that can later be submitted to the European Journal of Public Health. Key messages There are wide differences across Europe in the development of information systems and data reuse. It is crucial to facilitate the use of evidence for policy development and decision-making. The EU-Joint Action InfAct is promoting evidence-informed policy-making by structuring health information exchanges in Europe, and providing tools for a sustainable impact in policy and practice.

FAKTOR PENGETAHUAN YANG MEMPENGARUHI KETERATURAN IBU BALITA DALAM MENGUNJUNGI POSYANDU DI DESA CIPANGERAN KECAMATAN SAGULING KABUPATEN BANDUNG BARAT TAHUN 2017

2018 ◽  
Vol 5 (2) ◽  
pp. 13-20
Author(s):  
Lia Kamila ◽  
Liawati . ◽  
Suci Lailani Alipah
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Sample Size ◽  
Health Center ◽  
Analytical Method ◽  
Random Sampling ◽  
Research Method ◽  
Cross Sectional ◽  
Public Health Center ◽  
Level Of Knowledge

ABSTRAK Indikator D/S di wilayah kerja Puskesmas Saguling Desa Cipangeran pada tahun 2016 menunjukkan masih rendahnya kunjungan balita dalam kegiatan posyandu dengan rata-rata hanya memcapai 41,5%, sedangkan target standar palayanan kota jumlah D/S yaitu 85%. Tujuan penelitian ini adalah untuk mengetahui keteraturan ibu dalam mengunjungi Posyandu dari faktor pengetahuan di Desa Cipangeran Kecamatan Saguling Kabupaten Bandung Barat tahun 2017. Metode penelitian ini menggunakan metode analitik dengan pendekatan cross sectional. Data yang digunakan adalah data primer. Populasi seluruh balita di wilayah kerja Puskesmas Saguling tahun 2016 sebanyak 424 ibu balita, besar sampel yang diambil 81 ibu balita, pengambilan sampel dengan menggunakan Sampel Random Sampling, pengumpulan data dengan hasil kuesioner berisi pertanyaan untuk mendapatkan data yang berkaitan dengan variabel yang diteliti. Hasil penelitian pengetahuan ibu balita didapatkan hampir setengah berada dikategori cukup yaitu 47 ibu balita (58%), namun masih ada ibu balita yang memiliki pengetahuan baik yaitu 18 ibu balita (22%), dan ibu balita yang memiliki pengetahuan kurang yaitu 16 ibu balita (20%). Kesimpulan dari penelitian didapatkan tingkat pengetahuan ibu balita yang tidak teratur dalam mengunjungi Posyandu di Desa Cipangeran Kecamatan Saguling Kabupaten Bandug Barat hampir setengah ibu balita berpengetahuan cukup. ABSTRACT The D / S indicator in the working area of ​​Saguling Public Health Center of Cipangeran Village in 2016 indicates that the low number of toddler visits in posyandu activities reaches an average of 41.5%, while the standard target for city / city is 85%. The purpose of this study is to determine the regularity of mothers in visiting Posyandu from knowledge factor in Cipangeran Village, Saguling District, West Bandung regency in 2017. This research method using analytical method with cross sectional approach. The data used is primary data.The population of all toddlers in the working area of Saguling Publich Health Center in 2016 were 424 mother, the sample size was 81 mother, using Random Sampling , data collection with questionnaires containing questions to obtain data related to the variables studied. The result of the research of the knowledge of the mother of the toddler is almost sufficient, namely 47 mothers (58%),but there are still mother who have good knowledge that is 18 mother of toddler (22%) and mother with less knowledge that is 16 mother of balita (20%). The conclusion of the research is the level of knowledge of irregular mother in visiting Posyandu in Cipangeran Village, Saguling, of West Bandung district, almost half of the toddler are knowledgeable enough.

Japanese-language videos on YouTube as a source of public health information for COVID-19 (Preprint)

2020 ◽  
Author(s):  
Takeo Yasu
Keyword(s):  
Public Health ◽  
Health Information ◽  
Scientific Evidence ◽  
The State ◽  
Video Content ◽  
Sources Of Information ◽  
State Of Emergency ◽  
Public Health Information ◽  
Youtube Videos ◽  
Spread Of Infection

BACKGROUND Serious public health problems, such as the COVID-19 pandemic, can cause an infodemic. Sources of information that may cause an infodemic include social networking services; YouTube, which consists of content created and uploaded by individuals, is one such source. OBJECTIVE To survey the content and changes in YouTube videos that present public health information about COVID-19 in Japan. METHODS We surveyed YouTube content regarding public health information pertaining to COVID-19 in Japan. YouTube searches were performed on March 6, 2020 (before the state of emergency), April 14 (during the state of emergency), and May 27 (after the state of emergency was lifted), with 136, 113, and 140 sample videos evaluated, respectively. The main outcome measures were: (1) The total number of views for each video, (2) video content, and (3) the usefulness of the video. RESULTS In the 100 most viewed YouTube videos during the three periods, the number of videos on public health information in March was significantly higher than in May (p = .02). Of the 331 unique videos, 9.1% (n = 30) were released by healthcare professionals. Useful videos providing public health information about the prevention of the spread of infection comprised only 13.0% of the sample but were viewed significantly more often than not useful videos (p = .006). CONCLUSIONS Individuals need to take care when obtaining information from YouTube before or early in a pandemic, during which time scientific evidence is scarce.

scholarly journals 4.C. Round table: Joining forces: frameworks for international and multi-sectoral collaborations in health information

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
◽  
Keyword(s):  
Public Health ◽  
Big Data ◽  
Health Information ◽  
Population Health ◽  
Round Table ◽  
Secondary Use ◽  
Use Of Data ◽  
National Initiatives ◽  
Information Research

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.

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