The Experts below are selected from a list of 71982 Experts worldwide ranked by ideXlab platform
John Odonoghue - One of the best experts on this subject based on the ideXlab platform.
-
protocol for a systematic review and qualitative synthesis of Information Quality frameworks in ehealth
BMJ Open, 2019Co-Authors: Kayode Philip Fadahunsi, James Tosin Akinlua, Siobhan Oconnor, Petra A Wark, J Gallagher, Christopher Carroll, Azeem Majeed, John OdonoghueAbstract:Introduction Electronic health (eHealth) applications have become a very large repository of health Information which informs critical decisions relating to the diagnosis, treatment and prognosis of patients. Poor Information Quality (IQ) within eHealth may compromise patient safety. Evaluation of IQ in eHealth is therefore necessary to promote patient safety. An IQ framework specifies what aspects of Information to assess and how to conduct the assessment. This systematic review aims to identify dimensions within existing IQ frameworks in eHealth and develop a new IQ framework for the assessment of eHealth. Method and analysis We will search Embase, Medline, PubMed, Cumulative Index to Nursing and Allied Health Literature, Maternity and Infant Care, PsycINFO (American Psychological Association), Global Health, Scopus, ProQuest Dissertations and Theses Global, Health Management Information Consortium and reference lists of relevant publications for articles published in English until November 2018. Studies will be selected by two independent reviewers based on prespecified eligibility criteria. Two reviewers will independently extract data in each eligible study using a prepiloted Microsoft Excel data extraction form. Thematic synthesis will be employed to define IQ dimensions and develop a new IQ framework for eHealth. Ethics and dissemination Ethical approval is not required for this systematic review as primary data will not be collected. The result of the review will be disseminated through publication in an academic journal and scientific conferences. PROSPERO registration number CRD42018097142.
Effy Vayena - One of the best experts on this subject based on the ideXlab platform.
-
Elements of Trust in Digital Health Systems: Scoping Review.
Journal of Medical Internet Research, 2018Co-Authors: Afua Adjekum, Alessandro Blasimme, Effy VayenaAbstract:BACKGROUND: Information and communication technologies have long become prominent components of health systems. Rapid advances in digital technologies and data science over the last few years are predicted to have a vast impact on health care services, configuring a paradigm shift into what is now commonly referred to as digital health. Forecasted to curb rising health costs as well as to improve health system efficiency and safety, digital health success heavily relies on trust from professional end users, administrators, and patients. Yet, what counts as the building blocks of trust in digital health systems has so far remained underexplored. OBJECTIVE: The objective of this study was to analyze what relevant stakeholders consider as enablers and impediments of trust in digital health. METHODS: We performed a scoping review to map out trust in digital health. To identify relevant digital health studies, we searched 5 electronic databases. Using keywords and Medical Subject Headings, we targeted all relevant studies and set no boundaries for publication year to allow a broad range of studies to be identified. The studies were screened by 2 reviewers after which a predefined data extraction strategy was employed and relevant themes documented. RESULTS: Overall, 278 qualitative, quantitative, mixed-methods, and intervention studies in English, published between 1998 and 2017 and conducted in 40 countries were included in this review. Patients and health care professionals were the two most prominent stakeholders of trust in digital health; a third-health administrators-was substantially less prominent. Our analysis identified cross-cutting personal, institutional, and technological elements of trust that broadly cluster into 16 enablers (altruism, fair data access, ease of use, self-efficacy, sociodemographic factors, recommendation by other users, usefulness, customizable design features, interoperability, privacy, initial face-to-face contact, guidelines for standardized use, stakeholder engagement, improved communication, decreased workloads, and service provider reputation) and 10 impediments (excessive costs, limited accessibility, sociodemographic factors, fear of data exploitation, insufficient training, defective technology, Poor Information Quality, inadequate publicity, time-consuming, and service provider reputation) to trust in digital health. CONCLUSIONS: Trust in digital health technologies and services depends on the interplay of a complex set of enablers and impediments. This study is a contribution to ongoing efforts to understand what determines trust in digital health according to different stakeholders. Therefore, it offers valuable points of reference for the implementation of innovative digital health services. Building on insights from this study, actionable metrics can be developed to assess the trustworthiness of digital technologies in health care.
Kayode Philip Fadahunsi - One of the best experts on this subject based on the ideXlab platform.
-
protocol for a systematic review and qualitative synthesis of Information Quality frameworks in ehealth
BMJ Open, 2019Co-Authors: Kayode Philip Fadahunsi, James Tosin Akinlua, Siobhan Oconnor, Petra A Wark, J Gallagher, Christopher Carroll, Azeem Majeed, John OdonoghueAbstract:Introduction Electronic health (eHealth) applications have become a very large repository of health Information which informs critical decisions relating to the diagnosis, treatment and prognosis of patients. Poor Information Quality (IQ) within eHealth may compromise patient safety. Evaluation of IQ in eHealth is therefore necessary to promote patient safety. An IQ framework specifies what aspects of Information to assess and how to conduct the assessment. This systematic review aims to identify dimensions within existing IQ frameworks in eHealth and develop a new IQ framework for the assessment of eHealth. Method and analysis We will search Embase, Medline, PubMed, Cumulative Index to Nursing and Allied Health Literature, Maternity and Infant Care, PsycINFO (American Psychological Association), Global Health, Scopus, ProQuest Dissertations and Theses Global, Health Management Information Consortium and reference lists of relevant publications for articles published in English until November 2018. Studies will be selected by two independent reviewers based on prespecified eligibility criteria. Two reviewers will independently extract data in each eligible study using a prepiloted Microsoft Excel data extraction form. Thematic synthesis will be employed to define IQ dimensions and develop a new IQ framework for eHealth. Ethics and dissemination Ethical approval is not required for this systematic review as primary data will not be collected. The result of the review will be disseminated through publication in an academic journal and scientific conferences. PROSPERO registration number CRD42018097142.
Afua Adjekum - One of the best experts on this subject based on the ideXlab platform.
-
Elements of Trust in Digital Health Systems: Scoping Review.
Journal of Medical Internet Research, 2018Co-Authors: Afua Adjekum, Alessandro Blasimme, Effy VayenaAbstract:BACKGROUND: Information and communication technologies have long become prominent components of health systems. Rapid advances in digital technologies and data science over the last few years are predicted to have a vast impact on health care services, configuring a paradigm shift into what is now commonly referred to as digital health. Forecasted to curb rising health costs as well as to improve health system efficiency and safety, digital health success heavily relies on trust from professional end users, administrators, and patients. Yet, what counts as the building blocks of trust in digital health systems has so far remained underexplored. OBJECTIVE: The objective of this study was to analyze what relevant stakeholders consider as enablers and impediments of trust in digital health. METHODS: We performed a scoping review to map out trust in digital health. To identify relevant digital health studies, we searched 5 electronic databases. Using keywords and Medical Subject Headings, we targeted all relevant studies and set no boundaries for publication year to allow a broad range of studies to be identified. The studies were screened by 2 reviewers after which a predefined data extraction strategy was employed and relevant themes documented. RESULTS: Overall, 278 qualitative, quantitative, mixed-methods, and intervention studies in English, published between 1998 and 2017 and conducted in 40 countries were included in this review. Patients and health care professionals were the two most prominent stakeholders of trust in digital health; a third-health administrators-was substantially less prominent. Our analysis identified cross-cutting personal, institutional, and technological elements of trust that broadly cluster into 16 enablers (altruism, fair data access, ease of use, self-efficacy, sociodemographic factors, recommendation by other users, usefulness, customizable design features, interoperability, privacy, initial face-to-face contact, guidelines for standardized use, stakeholder engagement, improved communication, decreased workloads, and service provider reputation) and 10 impediments (excessive costs, limited accessibility, sociodemographic factors, fear of data exploitation, insufficient training, defective technology, Poor Information Quality, inadequate publicity, time-consuming, and service provider reputation) to trust in digital health. CONCLUSIONS: Trust in digital health technologies and services depends on the interplay of a complex set of enablers and impediments. This study is a contribution to ongoing efforts to understand what determines trust in digital health according to different stakeholders. Therefore, it offers valuable points of reference for the implementation of innovative digital health services. Building on insights from this study, actionable metrics can be developed to assess the trustworthiness of digital technologies in health care.
Azeem Majeed - One of the best experts on this subject based on the ideXlab platform.
-
protocol for a systematic review and qualitative synthesis of Information Quality frameworks in ehealth
BMJ Open, 2019Co-Authors: Kayode Philip Fadahunsi, James Tosin Akinlua, Siobhan Oconnor, Petra A Wark, J Gallagher, Christopher Carroll, Azeem Majeed, John OdonoghueAbstract:Introduction Electronic health (eHealth) applications have become a very large repository of health Information which informs critical decisions relating to the diagnosis, treatment and prognosis of patients. Poor Information Quality (IQ) within eHealth may compromise patient safety. Evaluation of IQ in eHealth is therefore necessary to promote patient safety. An IQ framework specifies what aspects of Information to assess and how to conduct the assessment. This systematic review aims to identify dimensions within existing IQ frameworks in eHealth and develop a new IQ framework for the assessment of eHealth. Method and analysis We will search Embase, Medline, PubMed, Cumulative Index to Nursing and Allied Health Literature, Maternity and Infant Care, PsycINFO (American Psychological Association), Global Health, Scopus, ProQuest Dissertations and Theses Global, Health Management Information Consortium and reference lists of relevant publications for articles published in English until November 2018. Studies will be selected by two independent reviewers based on prespecified eligibility criteria. Two reviewers will independently extract data in each eligible study using a prepiloted Microsoft Excel data extraction form. Thematic synthesis will be employed to define IQ dimensions and develop a new IQ framework for eHealth. Ethics and dissemination Ethical approval is not required for this systematic review as primary data will not be collected. The result of the review will be disseminated through publication in an academic journal and scientific conferences. PROSPERO registration number CRD42018097142.