Exclusion by Design: Lack of Information about Community Participation in COVID-19-related Mobile Apps and its Relationship to Digital Health Disparities (Preprint)

2021 ◽  
Author(s):  
Muhammed Yassin Idris ◽  
Maya Korin ◽  
Faven Araya ◽  
Sayeeda Chowdhury ◽  
Humberto Brown ◽  
...  
Keyword(s):  
Community Participation ◽  
Mobile Health ◽  
Medical Information ◽  
Mobile Apps ◽  
Digital Health ◽  
Community Based ◽  
Health Technologies ◽  
Community Needs ◽  
App Development ◽  
Communities Of Color

UNSTRUCTURED The rate and scale of transmission of COVID-19 overwhelmed healthcare systems worldwide, particularly in under-resourced communities of color that already faced a high prevalence of pre-existing health conditions. One way the health ecosystem has tried to address the pandemic is by creating mobile apps for telemedicine, dissemination of medical information, and disease tracking. As these new mobile health tools continue to be a primary format for healthcare, more attention needs to be given to their equitable distribution, usage, and accessibility. In this viewpoint collaboratively written by a community-based organization and a health app development research team, we present results of our systematic search and analysis of community engagement in mobile apps released between February and December 2020 to address the COVID-19 pandemic. We provide an overview of apps’ features and functionalities but could not find any publicly available information regarding whether these apps incorporated participation from communities of color disproportionately impacted by the pandemic. We argue that while mobile health technologies are a form of intellectual property, app developers should make public the steps taken to include community participation in app development. These steps could include community needs assessment, community feedback solicited and incorporated, and community participation in evaluation. These are factors that community-based organizations look for when assessing whether to promote digital health tools among the communities they serve. Transparency about the participation of community organizations in the process of app development would increase buy-in, trust, and usage of mobile health apps in communities where they are needed most.

scholarly journals Medical Mobile App Classification Using the National Institute for Health and Care Excellence Evidence Standards Framework for Digital Health Technologies: Interrater Reliability Study

10.2196/17457 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e17457 ◽  
Author(s):  
Khine Nwe ◽  
Mark Erik Larsen ◽  
Natalie Nelissen ◽  
David Chi-Wai Wong
Keyword(s):  
Mobile Health ◽  
Mobile Apps ◽  
Digital Health ◽  
Mobile App ◽  
Evaluation Framework ◽  
Tier 2 ◽  
Level Of Evidence ◽  
Health Technologies ◽  
Mobile Health Apps ◽  
Classification Agreement

Background Clinical governance of medical mobile apps is challenging, and there is currently no standard method for assessing the quality of such apps. In 2018, the National Institute for Health and Care Excellence (NICE) developed a framework for assessing the required level of evidence for digital health technologies (DHTs), as determined by their clinical function. The framework can potentially be used to assess mobile apps, which are a subset of DHTs. To be used reliably in this context, the framework must allow unambiguous classification of an app’s clinical function. Objective The objective of this study was to determine whether mobile health apps could be reliably classified using the NICE evidence standards framework for DHTs. Methods We manually extracted app titles, screenshots, and content descriptions for all apps listed on the National Health Service (NHS) Apps Library website on July 12, 2019; none of the apps were downloaded. Using this information, 2 mobile health (mHealth) researchers independently classified each app to one of the 4 functional tiers (ie, 1, 2, 3a, and 3b) described in the NICE digital technologies evaluation framework. Coders also answered contextual questions from the framework to identify whether apps were deemed to be higher risk. Agreement between coders was assessed using Cohen κ statistic. Results In total, we assessed 76 apps from the NHS Apps Library. There was classification agreement for 42 apps. Of these, 0 apps were unanimously classified into Tier 1; 24, into Tier 2; 15, into Tier 3a; and 3, into Tier 3b. There was disagreement between coders in 34/76 cases (45%); interrater agreement was poor (Cohen κ=0.32, 95% CI 0.16-0.47). Further investigation of disagreements highlighted 5 main explanatory themes: apps that did not correspond to any tier, apps that corresponded to multiple tiers, ambiguous tier descriptions, ambiguous app descriptions, and coder error. Conclusions The current iteration of the NICE evidence standards framework for DHTs did not allow mHealth researchers to consistently and unambiguously classify digital health mobile apps listed on the NHS app library according to their functional tier.

scholarly journals Medical Mobile App Classification Using the National Institute for Health and Care Excellence Evidence Standards Framework for Digital Health Technologies: Interrater Reliability Study (Preprint)

2019 ◽  
Author(s):  
Khine Nwe ◽  
Mark Erik Larsen ◽  
Natalie Nelissen ◽  
David Chi-Wai Wong
Keyword(s):  
Mobile Health ◽  
Mobile Apps ◽  
Digital Health ◽  
Mobile App ◽  
Evaluation Framework ◽  
Tier 2 ◽  
Level Of Evidence ◽  
Health Technologies ◽  
Mobile Health Apps ◽  
Classification Agreement

BACKGROUND Clinical governance of medical mobile apps is challenging, and there is currently no standard method for assessing the quality of such apps. In 2018, the National Institute for Health and Care Excellence (NICE) developed a framework for assessing the required level of evidence for digital health technologies (DHTs), as determined by their clinical function. The framework can potentially be used to assess mobile apps, which are a subset of DHTs. To be used reliably in this context, the framework must allow unambiguous classification of an app’s clinical function. OBJECTIVE The objective of this study was to determine whether mobile health apps could be reliably classified using the NICE evidence standards framework for DHTs. METHODS We manually extracted app titles, screenshots, and content descriptions for all apps listed on the National Health Service (NHS) Apps Library website on July 12, 2019; none of the apps were downloaded. Using this information, 2 mobile health (mHealth) researchers independently classified each app to one of the 4 functional tiers (ie, 1, 2, 3a, and 3b) described in the NICE digital technologies evaluation framework. Coders also answered contextual questions from the framework to identify whether apps were deemed to be higher risk. Agreement between coders was assessed using Cohen κ statistic. RESULTS In total, we assessed 76 apps from the NHS Apps Library. There was classification agreement for 42 apps. Of these, 0 apps were unanimously classified into Tier 1; 24, into Tier 2; 15, into Tier 3a; and 3, into Tier 3b. There was disagreement between coders in 34/76 cases (45%); interrater agreement was poor (Cohen κ=0.32, 95% CI 0.16-0.47). Further investigation of disagreements highlighted 5 main explanatory themes: apps that did not correspond to any tier, apps that corresponded to multiple tiers, ambiguous tier descriptions, ambiguous app descriptions, and coder error. CONCLUSIONS The current iteration of the NICE evidence standards framework for DHTs did not allow mHealth researchers to consistently and unambiguously classify digital health mobile apps listed on the NHS app library according to their functional tier.

scholarly journals Revisiting the four core functions (4Cs) of primary care: operational definitions and complexities

2021 ◽  
Vol 22 ◽  
Author(s):  
Geronimo Jimenez ◽  
David Matchar ◽  
Gerald Choon Huat Koh ◽  
Shilpa Tyagi ◽  
Rianne M. J. J. van der Kleij ◽  
...  
Keyword(s):  
Primary Care ◽  
Digital Health ◽  
Descriptive Analysis ◽  
Community Based ◽  
Social Community ◽  
Health Technologies ◽  
Levels Of Care ◽  
Electronic Search ◽  
First Contact ◽  
Community Based Services

Abstract Background: The four primary care (PC) core functions (the ‘4Cs’, ie, first contact, comprehensiveness, coordination and continuity) are essential for good quality primary healthcare and their achievement leads to lower costs, less inequality and better population health. However, their broad definitions have led to variations in their assessment, in the innovations implemented to improve these functions and ultimately in their performance. Objectives: To update and operationalise the 4Cs’ definitions by using a literature review and analysis of enhancement strategies, and to identify innovations that may lead to their enhancement. Methods: Narrative, descriptive analysis of the 4Cs definitions, coming from PC international reports and organisations, to identify measurable features for each of these functions. Additionally, we performed an electronic search and analysis of enhancement strategies to improve these four Cs, to explore how the 4Cs inter-relate. Results: Specific operational elements for first contact include modality of contact, and conditions for which PC should be approached; for comprehensiveness, scope of services and spectrum of population needs; for coordination, links between PC and higher levels of care and social/community-based services, and workforce managing transitions and for continuity, type, level and context of continuity. Several innovations like enrolment, digital health technologies and new or enhanced PC provider’s roles, simultaneously influenced two or more of the 4Cs. Conclusion: Providing clear, well-defined operational elements for these 4Cs to measure their achievement and improve the way they function, and identifying the complex network of interactions among them, should contribute to the field in a way that supports efforts at practice innovation to optimise the processes and outcomes in PC.

scholarly journals Mobile Health Apps for Medical Emergencies: Systematic Review

10.2196/18513 ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. e18513
Author(s):  
Alejandro Plaza Roncero ◽  
Gonçalo Marques ◽  
Beatriz Sainz-De-Abajo ◽  
Francisco Martín-Rodríguez ◽  
Carlos del Pozo Vegas ◽  
...  
Keyword(s):  
Health Care ◽  
Mobile Health ◽  
Mobile Apps ◽  
Current Status ◽  
Health Technologies ◽  
Health Apps ◽  
App Store ◽  
Mobile Health Apps ◽  
Medical Emergencies ◽  
Google Play

Background Mobile health apps are used to improve the quality of health care. These apps are changing the current scenario in health care, and their numbers are increasing. Objective We wanted to perform an analysis of the current status of mobile health technologies and apps for medical emergencies. We aimed to synthesize the existing body of knowledge to provide relevant insights for this topic. Moreover, we wanted to identify common threads and gaps to support new challenging, interesting, and relevant research directions. Methods We reviewed the main relevant papers and apps available in the literature. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology was used in this review. The search criteria were adopted using systematic methods to select papers and apps. On one hand, a bibliographic review was carried out in different search databases to collect papers related to each application in the health emergency field using defined criteria. On the other hand, a review of mobile apps in two virtual storage platforms (Google Play Store and Apple App Store) was carried out. The Google Play Store and Apple App Store are related to the Android and iOS operating systems, respectively. Results In the literature review, 28 papers in the field of medical emergency were included. These studies were collected and selected according to established criteria. Moreover, we proposed a taxonomy using six groups of applications. In total, 324 mobile apps were found, with 192 identified in the Google Play Store and 132 identified in the Apple App Store. Conclusions We found that all apps in the Google Play Store were free, and 73 apps in the Apple App Store were paid, with the price ranging from US $0.89 to US $5.99. Moreover, 39% (11/28) of the included studies were related to warning systems for emergency services and 21% (6/28) were associated with disaster management apps.

scholarly journals Establishing a digital health platform in an academic medical center supporting rural communities

2020 ◽  
Vol 4 (5) ◽  
pp. 384-388
Author(s):  
Anita Walden ◽  
Aaron S. Kemp ◽  
Linda J. Larson-Prior ◽  
Thomas Kim ◽  
Jennifer Gan ◽  
...  
Keyword(s):  
Rural Communities ◽  
Mobile Health ◽  
Medical Center ◽  
Digital Health ◽  
Academic Medical Center ◽  
Healthcare Providers ◽  
Training Models ◽  
Health Technologies ◽  
Regional Conference ◽  
Patient Advocates

AbstractThe University of Arkansas for Medical Sciences (UAMS), like many rural states, faces clinical and research obstacles to which digital innovation is seen as a promising solution. To implement digital technology, a mobile health interest group was established to lay the foundation for an enterprise-wide digital health innovation platform. To create a foundation, an interprofessional team was established, and a series of formal networking events was conducted. Three online digital health training models were developed, and a full-day regional conference was held featuring nationally recognized speakers and panel discussions with clinicians, researchers, and patient advocates involved in digital health programs at UAMS. Finally, an institution-wide survey exploring the interest in and knowledge of digital health technologies was distributed. The networking events averaged 35–45 attendees. About 100 individuals attended the regional conference with positive feedback from participants. To evaluate mHealth knowledge at the institution, a survey was completed by 257 UAMS clinicians, researchers, and staff. It revealed that there are opportunities to increase training, communication, and collaboration for digital health implementation. The inclusion of the mobile health working group in the newly formed Institute for Digital Health and Innovation provides a nexus for healthcare providers and researches to facilitate translational research.

scholarly journals The Digital Health Revolution and People with Disabilities: Perspective from the United States

2020 ◽  
Vol 17 (2) ◽  
pp. 381 ◽  
Author(s):  
Mike Jones ◽  
Frank DeRuyter ◽  
John Morris
Keyword(s):  
United States ◽  
Mobile Health ◽  
Chronic Conditions ◽  
Digital Health ◽  
Wearable Sensors ◽  
Healthcare Delivery ◽  
People With Disabilities ◽  
The United States ◽  
Models Of Care ◽  
Health Technologies

This article serves as the introduction to this special issue on Mobile Health and Mobile Rehabilitation for People with Disabilities. Social, technological and policy trends are reviewed. Needs, opportunities and challenges for the emerging fields of mobile health (mHealth, aka eHealth) and mobile rehabilitation (mRehab) are discussed. Healthcare in the United States (U.S.) is at a critical juncture characterized by: (1) a growing need for healthcare and rehabilitation services; (2) maturing technological capabilities to support more effective and efficient health services; (3) evolving public policies designed, by turns, to contain cost and support new models of care; and (4) a growing need to ensure acceptance and usability of new health technologies by people with disabilities and chronic conditions, clinicians and health delivery systems. Discussion of demographic and population health data, healthcare service delivery and a public policy primarily focuses on the U.S. However, trends identified (aging populations, growing prevalence of chronic conditions and disability, labor shortages in healthcare) apply to most countries with advanced economies and others. Furthermore, technologies that enable mRehab (wearable sensors, in-home environmental monitors, cloud computing, artificial intelligence) transcend national boundaries. Remote and mobile healthcare delivery is needed and inevitable. Proactive engagement is critical to ensure acceptance and effectiveness for all stakeholders.

scholarly journals Valuing Mobile Health: An Open-Ended Contingent Valuation Survey of a National Digital Health Program (Preprint)

2018 ◽  
Author(s):  
Camilla Somers ◽  
Eleanor Grieve ◽  
Marilyn Lennon ◽  
Matt-Mouley Bouamrane ◽  
Frances S Mair ◽  
...  
Keyword(s):  
Contingent Valuation ◽  
Mobile Health ◽  
Health Program ◽  
Digital Health ◽  
Well Being ◽  
Long Term Conditions ◽  
Contingent Valuation Study ◽  
Health Technologies ◽  
Health Apps ◽  
Representative Cohort

BACKGROUND Changing population demographics and technology developments have resulted in growing interest in the potential of consumer-facing digital health. In the United Kingdom, a £37 million (US $49 million) national digital health program delivering assisted living lifestyles at scale (dallas) aimed to deploy such technologies at scale. However, little is known about how consumers value such digital health opportunities. OBJECTIVE This study explored consumers’ perspectives on the potential value of digital health technologies, particularly mobile health (mHealth), to promote well-being by examining their willingness-to-pay (WTP) for such health solutions. METHODS A contingent valuation study involving a UK-wide survey that asked participants to report open-ended absolute and marginal WTP or willingness-to-accept for the gain or loss of a hypothetical mHealth app, Healthy Connections. RESULTS A UK-representative cohort (n=1697) and a dallas-like (representative of dallas intervention communities) cohort (n=305) were surveyed. Positive absolute and marginal WTP valuations of the app were identified across both cohorts (absolute WTP: UK-representative cohort £196 or US $258 and dallas-like cohort £162 or US $214; marginal WTP: UK-representative cohort £160 or US $211 and dallas-like cohort £151 or US $199). Among both cohorts, there was a high prevalence of zeros for both the absolute WTP (UK-representative cohort: 467/1697, 27.52% and dallas-like cohort: 95/305, 31.15%) and marginal WTP (UK-representative cohort: 487/1697, 28.70% and dallas-like cohort: 99/305, 32.5%). In both cohorts, better general health, previous amount spent on health apps (UK-representative cohort 0.64, 95% CI 0.27 to 1.01; dallas-like cohort: 1.27, 95% CI 0.32 to 2.23), and age had a significant (P>.00) association with WTP (UK-representative cohort: −0.1, 95% CI −0.02 to −0.01; dallas-like cohort: −0.02, 95% CI −0.03 to −0.01), with younger participants willing to pay more for the app. In the UK-representative cohort, as expected, higher WTP was positively associated with income up to £30,000 or US $39,642 (0.21, 95% CI 0.14 to 0.4) and increased spending on existing phone and internet services (0.52, 95% CI 0.30 to 0.74). The amount spent on existing health apps was shown to be a positive indicator of WTP across cohorts, although the effect was marginal (UK-representative cohort 0.01, 95% CI 0.01 to 0.01; dallas-like cohort 0.01, 95% CI 0.01 to 0.02). CONCLUSIONS This study demonstrates that consumers value mHealth solutions that promote well-being, social connectivity, and health care control, but it is not universally embraced. For mHealth to achieve its potential, apps need to be tailored to user accessibility and health needs, and more understanding of what hinders frequent users of digital technologies and those with long-term conditions is required. This novel application of WTP in a digital health context demonstrates an economic argument for investing in upskilling the population to promote access and expedite uptake and utilization of such digital health and well-being apps.

scholarly journals Program Sanitasi Total Berbasis Masyarakat (STBM) untuk Merubah Perilaku Hidup Sehat di Kelurahan Kasunyatan Kota Serang Provinsi Banten

2021 ◽  
Vol 9 (2) ◽  
pp. 179-191
Author(s):  
Titi Stiawati
Keyword(s):  
Qualitative Research ◽  
Community Participation ◽  
Community Involvement ◽  
Research Method ◽  
Environmental Awareness ◽  
Healthy Living ◽  
Community Based ◽  
Qualitative Research Method ◽  
Community Needs ◽  
Depth Interviews

This study aims to determine community participation in the Community-Based Total Sanitation Program (STBM) in changing healthy living behavior in the Kasunyatan Village, Serang City, Banten Province. The qualitative research method is the approach used in this study, namely by collecting data through observation, in-depth interviews, and documentation. The results of the study found that the community-based total sanitation program had the benefit of changing people's behavior from the aspect of clean environmental awareness and disposing of water not indiscriminately. Community involvement is a necessary aspect to be able to control locally in realizing a quality environment. Community involvement in sanitation development, starting from planning, implementation to utilization. The community-based total sanitation program is welcomed by the community, but in terms of the amount of assistance, it still does not meet all community needs.

scholarly journals Integration of eMental health technologies into traditional community-based interventions

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
K Turmaine ◽  
C Picot Ngo ◽  
A Le Jeannic ◽  
J L Roelandt ◽  
K Chevreul ◽  
...  
Keyword(s):  
Mental Health ◽  
Digital Technology ◽  
Digital Health ◽  
Local Level ◽  
World Health ◽  
Local Network ◽  
Local Health ◽  
Community Based ◽  
Health Technologies ◽  
Health Programmes

Abstract Background Very little research has been conducted to appraise the merits of including municipalities and their local health providers in the promotion of digital health programmes. While more and more municipalities have locally implemented a health strategic plan and have focused on building local network of professionals, how do the latter react to the implementation of innovative e-mental health community-based programmes? Methods In 2018, 42 French municipalities volunteered to promote StopBlues, a digital health tool aimed at preventing mental distress and suicide. In each municipality, a local delegate was responsible for the promotion of the tool. Using observations, questionnaires and interviews with the delegates, we analysed how the promotion of StopBlues® was conducted in each setting. 2/3 of these municipalities started the promotion directly, and in 2019, a second wave of municipalities launched the promotion with a stronger support from the research team backed by the French World Health Organization Collaborating Centre for Research and Training in Mental Health (WHOCC). Results The use of digital technology in the implementation of a mental health programme received a mixed reception from the local health professionals because of its innovative aspect. 2/3 of the delegates declared that they were struggling to create a stronger network of local partners including private medical practioners. 63% of the respondents stated that their municipalities got involved in the programme for networking purposes. Conclusions Digital technologies have initiated a paradigm shift in the way community-based health programmes are set up but need to strengthen their territorial anchorage in order to be accepted and used at the local level. Key messages Digital technology can be a strong lever against health inequities but its effectiveness has to be studied carefully. Digital technolgy has to be implemented in local settings with the collaboration of local actors in order to be accepted and used.

scholarly journals Mobile Health Technologies could enhance Public Private Mix for Tuberculosis care in Rural Southwestern Uganda: Qualitative Findings

2021 ◽  
Author(s):  
Wilson Tumuhimbise ◽  
Daniel Atwine ◽  
Fred Kaggwa ◽  
Angella Musiimenta
Keyword(s):  
Mobile Health ◽  
Mobile Apps ◽  
Text Messages ◽  
Public Hospitals ◽  
Future Research ◽  
Private Hospitals ◽  
Health Technologies ◽  
Private Healthcare ◽  
Public Private Mix ◽  
Tuberculosis Care

Abstract Background Despite some global progress in the implementation of the public-private mix for Tuberculosis care, the engagement of private healthcare providers remains wanting especially in high incidence countries such as Uganda. Although mobile health technologies are low-cost approaches that can enhance Tuberculosis care, there is a dearth of research about their application in fostering public-private mix. Objective To explore the potentials of mobile health technologies in fostering public-private mix for Tuberculosis care in Uganda. Methods This was a qualitative study design that involved in-depth interviews with 13 key informants (private healthcare workers) purposively selected between June and July 2020 due to their active involvement in Tuberculosis care from four private hospitals in Mbarara City. The interviews were transcribed and coded to identify key themes for analysis using content analysis. Results Mobile Health technologies (such as mobile apps, text messages) have the potential to map and link patients from private hospitals to the referral units, support patient medication adherence, notify and report Tuberculosis cases to the Ugandan Ministry of Health, and enhance patient care and monitoring. Conclusion Mobile Health technologies have the potential to revolutionize Tuberculosis care by establishing a centralized pathway for linking the referred patients from private hospitals to public hospitals. Future research should focus on assessing the utilization of mobile health technologies in enhancing access to referral units by presumptive Tuberculosis patients referred from private hospitals in low-resource settings.

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