Meghan Bradway

ORCID: 0000-0003-4540-225X
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About
Contact & Profiles
Research Areas
  • Mobile Health and mHealth Applications
  • Health Literacy and Information Accessibility
  • Digital Mental Health Interventions
  • Diabetes Management and Education
  • Diabetes Management and Research
  • Technology Use by Older Adults
  • Social Media in Health Education
  • Electronic Health Records Systems
  • Telemedicine and Telehealth Implementation
  • Chronic Disease Management Strategies
  • Behavioral Health and Interventions
  • Focus Groups and Qualitative Methods
  • Family Support in Illness
  • Family Caregiving in Mental Illness
  • Medical Coding and Health Information
  • Persona Design and Applications
  • Biomedical Text Mining and Ontologies
  • Diabetes Treatment and Management
  • Wikis in Education and Collaboration
  • Health Policy Implementation Science
  • Diabetes and associated disorders
  • Nutritional Studies and Diet
  • Physical Activity and Health
  • Artificial Intelligence in Healthcare
  • Innovative Human-Technology Interaction

NORCE Norwegian Research Centre
2024

University Hospital of North Norway
2015-2023

UiT The Arctic University of Norway
2017-2021

University of Manchester
2020

Institute of Clinical Research
2018

Fulbright Program
2015

Bureau of Educational and Cultural Affairs
2015

Background: The mass availability and use of mobile health (mHealth) technologies offers the potential for these to support or substitute medical advice. However, it is worrisome that most assessment initiatives are still not able successfully evaluate all aspects mHealth solutions. As a result, multiple strategies assess solutions being proposed by regulatory bodies similar organizations. Objective: We aim offer collective description universally applicable initiatives, given their current...

10.2196/mhealth.7291 article EN cc-by JMIR mhealth and uhealth 2017-05-02

Background: Wearable computing has long been described as the solution to many health challenges. However, use of this technology a diabetes patient self-management tool not fully explored. A promising platform for is smartwatch—a wrist-worn device that only tells time but also provides internet connection and ability communicate information from mobile phone. Method: Over 9 months, design diary application smartwatch was completed using agile development methods. The system, including...

10.1177/1932296814567708 article EN Journal of Diabetes Science and Technology 2015-01-14

Participatory health approaches are increasingly drawing attention among the scientific community, and could be used for promotion programmes on diabetes through social media. The main aim of this project is to research how best use media promote healthy lifestyles with within Norwegian population. design intervention (HPI) will participatory, involve both a panel healthcare experts users following Diabetes Association. agree contents by Delphi method, participate in definition HPI...

10.1186/s12913-018-3178-7 article EN cc-by BMC Health Services Research 2018-06-05

Background: The prevalence of diabetes and the use electronic health (eHealth) are increasing. People with need frequent monitoring follow-up parameters, eHealth services can be highly valuable. However, little is known about in different socioeconomic groups among people diabetes. Objective: aim this study was to investigate 4 platforms (apps, search engines, video services, social media sites) association status (SES) diagnosed type 1 2 mellitus (T1D T2D, respectively). Methods: We used...

10.2196/13615 article EN cc-by Journal of Medical Internet Research 2019-05-29

Background: Use of social media is increasing rapidly, also in health care and diabetes. However, patients, personnel, patient organizations discuss diabetes on very differently. This has led to a lack common ground when these stakeholders communicate about gap understanding one another’s point view. Social have potential for improved communication if each stakeholder group knows about, acknowledges, accepts perspective. Method: We extracted analyzed posts from three Norwegian Facebook...

10.1177/1932296818821649 article EN Journal of Diabetes Science and Technology 2019-01-13

Background Despite the prevalence of mobile health (mHealth) technologies and observations their impacts on patients’ health, there is still no consensus how best to evaluate these tools for patient self-management chronic conditions. Researchers currently do not have guidelines which qualitative or quantitative factors measure gather reliable data. Objective This study aimed document methods both measures used assess mHealth apps systems intended use by patients noncommunicable diseases....

10.2196/16814 article EN cc-by JMIR mhealth and uhealth 2020-03-25

10.1016/j.tem.2015.01.001 article EN Trends in Endocrinology and Metabolism 2015-02-26

The Introduction of mobile health (mHealth) devices to intervention studies challenges us as researchers adapt how we analyse the impact these technologies. For interventions involving chronic illness self-management, must consider changes in behaviour addition health. Fortunately, mHealth technologies can record participants' interactions via usage-logs during research interventions.The objective this paper is demonstrate potential analysing by presenting an in-depth analysis a preliminary...

10.1371/journal.pone.0203202 article EN cc-by PLoS ONE 2018-08-30

Introducing self-collected health data from patients with diabetes into consultation can be beneficial for both and clinicians. Such an initiative allow to more proactive in their disease management clinicians provide tailored medical services. Optimally, electronic record systems (EHRs) should able receive a standard representation of such as Fast Healthcare Interoperability Resources (FHIR), like mobile apps display the directly users-the However, although Norwegian EHRs are working on...

10.2196/14002 article EN cc-by JMIR Diabetes 2019-07-09

Abstract Background Individuals with diabetes are using mobile health (mHealth) to track their self-management. However, individuals can understand even more about by sharing these patient-gathered data (PGD) professionals. We conducted experience-based co-design (EBCD) workshops, the aim of gathering end-users’ needs and expectations for a PGD-sharing system. Methods N = 15 participants provided feedback experiences in care PGD. The first workshop (2017) included patients Type 2 Diabetes...

10.1186/s12913-020-05955-3 article EN cc-by BMC Health Services Research 2020-11-30

Preferences and interests of diabetes social media users regarding a health-promotion intervention Elia Gabarron,1 Enrique Dorronzoro,2 Meghan Bradway,1,3 Octavio Rivera-Romero,2 Rolf Wynn,3,4 Eirik Årsand1,3 1Norwegian Centre for E-health Research, University Hospital North Norway, Tromsø, Norway; 2Department Electronic Technology, Universidad de Sevilla, Seville, Spain; 3Department Clinical Medicine, Faculty Health Sciences, UiT – Arctic 4Division Mental Addictions, Norway Background:...

10.2147/ppa.s184369 article EN cc-by-nc Patient Preference and Adherence 2018-11-01

There is rising demand for health care's limited resources. Mobile (mHealth) could be a solution, especially those with chronic illnesses such as diabetes. mHealth can increases patients' options to self-manage their health, improving knowledge, engagement, and capacity contribute own care decisions. However, there are few solutions sharing presenting data providers (HCPs) in mutually understandable way, which limits the potential of shared decision making.Through six-month mixed method...

10.2196/16657 article EN cc-by JMIR Research Protocols 2019-12-16

The use of mobile diabetes self-management applications (apps) is rising. However, current reviews mainly focus on clinically relevant features, and very little those that affect a user's perception. This review highlights recent developments these systems, coupled with user perceptions, public presence availability. After including novel criteria, we found most apps have comprehensive range features received good scores from reviewers. the visibility in social media or press scarce, few...

10.2217/dmt.15.40 article EN Diabetes Management 2015-11-01

Introduction: Social media channels are being used more and by people with diabetes for exchanging health information, experiences their chronic condition, asking giving advice to peers[1]. The objective of this study is describe the nature information that shared on Norwegian social groups, users’ reactions these posts.Methods: content reach 400 posts were downloaded from 4 different platforms: 100 each patient association’s open Facebook group, Twitter, Instagram, as well a closed group....

10.5334/ijic.2600 article EN cc-by International Journal of Integrated Care 2016-11-09

Intro: The number of mobile health technologies (mHealth apps) in the market is rapidly increasing. Because these apps have potential to support and/or substitute medical advice, it worrisome that most assessment initiatives still two main issues: 1) they are not able successfully evaluate all aspects health-related e.g. only focus on usability or data privacy and protection (such as myhealthapps.net[1], AppSaludable[2], iMedical apps[3] among others), those recognize “medical devices”, 2)...

10.5334/ijic.2556 article EN cc-by International Journal of Integrated Care 2016-11-09

Background: The prevalence of diabetes and the use electronic health (eHealth) resources are increasing. People with need frequent monitoring follow-up parameters, eHealth services can be great significance in this regard. However, little is known about extent to which different kinds tools used, how associated provider-based care among people diabetes.

10.2196/resprot.6529 article EN cc-by JMIR Research Protocols 2016-10-31

Intro: With increasing number of pEHRs, health apps, medical sensors and patient-controlled tools appearing on the marked, there is a need for more tailored coordinated use health-related data from these kinds tools. However, EHR systems are not yet equipped to receive structure this according clinicians' needs, especially chronic illnesses, which often require coordination many fields. The Full Flow project (Norwegian Research Council-funded project# 247974/O70) uses diabetes as case test...

10.5334/ijic.2565 article EN cc-by International Journal of Integrated Care 2016-11-09

Intro: Commercial data-communication systems, such as those provided by Epic and Cerner, offer options to integrate patients’ app-gathered data into health care systems. However, clinical research related how patients communication are impacted this during consultations, is scarce. These concepts important, especially for with chronic illnesses, because clinicians’ ability identify daily issues discuss solutions key the improvement of patient self-management and, thereby, success care. In...

10.5334/ijic.2551 article EN cc-by International Journal of Integrated Care 2016-11-09

Diabetes self-management, an integral part of diabetes care, can be improved with the help digital self-management tools such as apps, sensors, websites, and social media. The study objective was to reach a consensus on criteria required assess recommend targeting those in Norway. Healthcare professionals working care from all health regions Norway were recruited participate three-round Delphi study. In rounds, panellists rated identified systematic review interviews scale 0-10, option...

10.3233/shti210299 article EN cc-by-nc Studies in health technology and informatics 2021-05-27

Psycho-social factors are often addressed in behavioral health studies. While the purpose of many mHealth interventions is to facilitate behavior change, focus more prominently on functionality and usability technology less psycho-social that contribute change. Here we aim identify extent which for patient self- management address psychological factors. By understanding users' motivations, facilitators, mindsets, can better tailor promote

10.3233/shti200320 article EN Studies in health technology and informatics 2020-01-01
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