Gaetano Borriello’s research while affiliated with University of Mary Washington and other places

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Publications (300)


S1 Manual
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  • File available

October 2016

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14 Reads

Amy Sarah Ginsburg

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mPneumonia user manual. (DOCX)

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Table 1.  Definitions of Feasibility, Usability, and Acceptability.
Table 2.  Participant Baseline Characteristics.
Table 3.  Health Care Provider Perceptions of mPneumonia.
Table 4.  Usability Metrics.
Table 5.  Task Analysis Results from Direct Observations.

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mPneumonia, an Innovation for Diagnosing and Treating Childhood Pneumonia in Low-Resource Settings: A Feasibility, Usability and Acceptability Study in Ghana

October 2016

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15,303 Reads

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51 Citations

Pneumonia is the leading cause of infectious disease mortality in children. Currently, health care providers (HCPs) are trained to use World Health Organization Integrated Management of Childhood Illness (IMCI) paper-based protocols and manually assess respiratory rate to diagnose pneumonia in low-resource settings (LRS). However, this approach of relying on clinical signs alone has proven problematic. Hypoxemia, a diagnostic indicator of pneumonia severity associated with an increased risk of death, is not assessed because pulse oximetry is often not available in LRS. To improve HCPs’ ability to diagnose, classify, and manage pneumonia and other childhood illnesses, “mPneumonia” was developed. mPneumonia is a mobile health application that integrates a digital version of the IMCI algorithm with a software-based breath counter and a pulse oximeter. A design-stage qualitative pilot study was conducted to assess feasibility, usability, and acceptability of mPneumonia in six health centers and five community-based health planning and services centers in Ghana. Nine health administrators, 30 HCPs, and 30 caregivers were interviewed. Transcribed interview audio recordings were coded and analyzed for common themes. Health administrators reported mPneumonia would be feasible to implement with approval and buy-in from national and regional decision makers. HCPs felt using the mPneumonia application would be feasible to integrate into their work with the potential to improve accurate patient care. They reported it was “easy to use” and provided confidence in diagnosis and treatment recommendations. HCPs and caregivers viewed the pulse oximeter and breath counter favorably. Challenges included electricity requirements for charging and the time needed to complete the application. Some caregivers saw mPneumonia as a sign of modernity, increasing their trust in the care received. Other caregivers were hesitant or confused about the new technology. Overall, this technology was valued by users and is a promising innovation for improving quality of care in frontline health facilities.


Closing the Feedback Loop: A 12-month Evaluation of ASTA, a Self-Tracking Application for ASHAs

June 2016

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42 Reads

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39 Citations

Accredited Social Health Activists (ASHAs) have been shown to have a positive impact on health outcomes of the households they visit, particularly in maternal and neonatal health. As the first line of the public health system in many countries, they are a critical link to the broader public health infrastructure for community members. Yet they do this all with minimal training and limited support infrastructure. To a pregnant woman, an ASHA is a trusted ally in navigating the health system---information gathered is returned by appropriate advice and counseling. To the health system, the ASHA is a key channel of valuable householdlevel information for the public health system, yet she generally receives minimal guidance in return. In this paper we present ASTA---the ASHA Self-Tracking Application---a system that provides ASHAs with timely, on-demand information regarding their own performance compared to their peers. Using ASTA, ASHAs access comparative performance data through both a web-based and voice-based interface on demand. We evaluated ASTA through a 12-month deployment with 142 ASHAs in Uttar Pradesh, India, assessing the impact of providing feedback on ASHA performance. We find that ASHAs with access to the ASTA system made significantly more client visits, with average monthly visits 21.5% higher than ASHAs who had access to a control system. In addition, higher ASHA performance was correlated with increased usage of ASTA. However, the performance improvement was front-loaded, with the impact of the system decreasing toward the end of the study period. Taken together, our findings provide promising evidence that studying and incorporating tools like ASTA could be cost effective and impactful for ASHA programs.


SpiroCall: Measuring Lung Function over a Phone Call

May 2016

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326 Reads

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71 Citations

Cost and accessibility have impeded the adoption of spirometers (devices that measure lung function) outside clinical settings, especially in low-resource environments. Prior work, called SpiroSmart, used a smartphone's built-in microphone as a spirometer. However, individuals in low- or middle-income countries do not typically have access to the latest smartphones. In this paper, we investigate how spirometry can be performed from any phone-using the standard telephony voice channel to transmit the sound of the spirometry effort. We also investigate how using a 3D printed vortex whistle can affect the accuracy of common spirometry measures and mitigate usability challenges. Our system, coined SpiroCall, was evaluated with 50 participants against two gold standard medical spirometers. We conclude that SpiroCall has an acceptable mean error with or without a whistle for performing spirometry, and advantages of each are discussed.


Table 2 User roles, intentions, and privileges for access control.
Title: Workflow Combining Different Programming Languages Description: This figure illustrates an example workflow that processes data using different programming languages.
Title: Web Interface to Build a Workflow Description: This figure illustrates Mezuri’s web interface for building a workflow.
Title: Mezuri Data Flow Description: This figure illustrates the different components of the Mezuri platform and visualizes the data flow from the raw data (e.g., surveys and sensor data) to the final output data.
A Proposed Integrated Data Collection, Analysis and Sharing Platform for Impact Evaluation

December 2015

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365 Reads

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46 Citations

Development Engineering

Global poverty reduction efforts value monitoring and evaluation, but often struggle to translate lessons learned from one intervention into practical application in another intervention. Commonly, data is not easily or often shared between interventions and summary data collected as part of an impact evaluation is often not available until after the intervention is complete. Equally limiting, the workflows that lead to research results are rarely published in a reproducible, reusable, and easy-to-understand fashion for others. Information and communication technologies widely used in commercial and government programs are growing in relevance for international global development professionals and offer a potential towards better data and workflow sharing. However, the technical and custom nature of many data management systems limits their accessibility to non-ICT professionals. The authors propose an end-to-end data collection, management, and dissemination platform designed for use by global development program managers and researchers. The system leverages smartphones, cellular based sensors, and cloud storage and computing to lower the entry barrier to impact evaluation.


Optimizing Mobile Application Communication for Challenged Network Environments

December 2015

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19 Reads

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31 Citations

Designing mobile applications for challenged network environments necessitates new abstractions that target deployment architects, non-developers who are charged with adapting an ensemble of off-the-shelf software to a deployment context. Data transfer is integral to mobile application design and deployments have inherent and contextual requirements that determine what data should be transferred and when. In this paper, we investigate building mobile applications in challenged network environments by focusing on abstractions to support disconnected environments and areas of sparse heterogeneous connectivity. We explore and characterize various methods of transmitting data using: existing synchronization tools, peer-to-peer communication, and sparse networks. We also introduce a new software tool called ODK Submit to help streamline application customization to challenged network environments.


mPneumonia: Development of an Innovative mHealth Application for Diagnosing and Treating Childhood Pneumonia and Other Childhood Illnesses in Low-Resource Settings

October 2015

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259 Reads

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56 Citations

Pneumonia is the leading infectious cause of death in children worldwide. Each year, pneumonia kills an estimated 935,000 children under five years of age, with most of these deaths occurring in developing countries. The current approach for pneumonia diagnosis in low-resource settings-using the World Health Organization Integrated Management of Childhood Illness (IMCI) paper-based protocols and relying on a health care provider's ability to manually count respiratory rate-has proven inadequate. Furthermore, hypoxemia-a diagnostic indicator of the presence and severity of pneumonia often associated with an increased risk of death-is not assessed because pulse oximetry is frequently not available in low-resource settings. In an effort to address childhood pneumonia mortality and improve frontline health care providers' ability to diagnose, classify, and manage pneumonia and other childhood illnesses, PATH collaborated with the University of Washington to develop "mPneumonia," an innovative mobile health application using an Android tablet. mPneumonia integrates a digital version of the IMCI algorithm with a software-based breath counter and a pediatric pulse oximeter. We conducted a design-stage usability field test of mPneumonia in Ghana, with the goal of creating a user-friendly diagnostic and management tool for childhood pneumonia and other childhood illnesses that would improve diagnostic accuracy and facilitate adherence by health care providers to established guidelines in low-resource settings. The results of the field test provided valuable information for understanding the usability and acceptability of mPneumonia among health care providers, and identifying approaches to iterate and improve. This critical feedback helped ascertain the common failure modes related to the user interface design, navigation, and accessibility of mPneumonia and the modifications required to improve user experience and create a tool aimed at decreasing mortality from pneumonia and other childhood illnesses in low-resource settings.


Citations (90)


... While existing systematic and scoping reviews have addressed DH adoption barriers and facilitators for older adults with chronic diseases or multimorbidity [19][20][21], none, to the best of our knowledge, has explicitly focused on the acceptance of DH, especially AI-based CAs, for NCD management in this demographic. Our recent scoping review on AI-powered CAs for remote management of NCDs [2] predominantly identified conventional feasibility and usability studies that primarily emphasize design factors influencing user-friendliness and user experience [22,23], underscoring substantial inadequacy in acceptability evaluations of AI CAs, which assess users' intention to adopt or utilize a digital tool for its intended purpose [22,24]. This gap inspired the present review, focusing on technology acceptance aspects of DH in the NCD management context for older adults. ...

Reference:

Exploring Acceptance of Digital Health Technologies for Managing Non-Communicable Diseases Among Older Adults: A Systematic Scoping Review
mPneumonia, an Innovation for Diagnosing and Treating Childhood Pneumonia in Low-Resource Settings: A Feasibility, Usability and Acceptability Study in Ghana

... To overcome the aforementioned hardware impediments, researchers have focused on computational imaging-based solutions, such as computed tomography [11], compressed perception [12], and multiplexed illumination [13], [14]. Although these schemes can reduce the acquisition cost of HSIs, they require special environments and introduce significant computational overheads when recovering the full spectral response. ...

HyperCam: hyperspectral imaging for ubiquitous computing applications
  • Citing Conference Paper
  • September 2015

... These include tools for planning home visits [17,97], data collection [62], clinical decision-making [46], health-related education through text messages [38,67,82] and mobile videos [40,52], and feedback gathering [53,58]. Researchers have also designed technologies to improve the performance of community health workers, for example by enabling supervisors to provide personalized feedback [17,28,37,88] and facilitating peer-comparison opportunities [16,18]. These technological interventions have not only helped towards legitimizing the roles of community health workers as healthcare providers-as they are often disregarded or unpaid [32,40,69]-but have also motivated them to improve their digital skills [30,47]. ...

Closing the Feedback Loop: A 12-month Evaluation of ASTA, a Self-Tracking Application for ASHAs
  • Citing Conference Paper
  • June 2016

... Some studies have utilized wearable devices to measure HRV and physical activity parameters to differentiate COPD patients from healthy individuals, 16,17 while others have used wearable devices or mobile devices to monitor cough sounds, blowing sounds, and other audio data for COPD diagnosis and lung function prediction. [18][19][20][21][22][23] However, there is relatively limited research on the use of wearable devices, particularly smartwatches, for monitoring physiological data to predict the severity of COPD. 24,25 For the collection of audio data, most current studies focus on using microphones, smartphones, or wearable sensors, 26 with no research using smartwatches for audio data collection. ...

SpiroCall: Measuring Lung Function over a Phone Call
  • Citing Conference Paper
  • May 2016

... A study from Brunette et al. (2015) seeks to address technology within poor networking environments. With many struggling countries not having access to up-to-date information relating to health outbreaks, as an example, there is a necessity for the underserved to have access to a reliable data transfer and communication service which enables them to receive regular updates within limited-resource settings. ...

Optimizing Mobile Application Communication for Challenged Network Environments
  • Citing Conference Paper
  • December 2015

... We found that several users resided in areas having weak internet connectivity, thus prompting us to update the application so that they could bulk download a large corpus of sentences that they could translate even when they were offline. Similar to the feature used in [18,40] for enabling citizen journalism in areas without internet, translated sentences would get sent to our server whenever the user managed to connect to the internet. The attention to providing accurate translations was reflected in their request for both a 'skip' feature to avoid providing translations they were unsure of and an option to edit their earlier submissions, as they would sometimes realize mistakes only after completing a translation. ...

A Mobile Application for Interactive Voice Forums
  • Citing Conference Paper
  • December 2014

... This research spans a variety of applications, including disease diagnosis [21,87], clinical decision support [74,96], improving communication between patients and healthcare providers [51,70,94], and optimizing hospital logistics [6,10,95]. In the context of community healthcare, researchers have developed AI tools to help ASHAs and ANMs diagnose diseases [7,12], analyze rapid diagnostic tests [14,65], and manage patient-care [56,73]. Studies have also examined ASHAs' knowledge of AI and their perception of AI-based diagnostic applications, and found that ASHAs possess low levels of AI understanding and a tendency towards overreliance on AI [60]. ...

Field evaluation of a camera-based mobile health system in low-resource settings
  • Citing Conference Paper
  • September 2014

... We hone in on community organizations, who are often key mediators between technologists, field workers, and end beneficiaries, while also being especially vulnerable to power asymmetries due to their dependency on philanthropic grants and external technical expertise [16,40,102]. While community organizations' internal data practices have been explored in depth (e.g., [16,28,31]), Susha et al. [105] note the need to understand the new external collaborations arising around data-driven technologies for social good. In this paper, we seek to shed light on these collaborations, with the goal of centering community organizations in what equitable production of AI and data-driven technologies could look like. ...

Paper-Digital Workflows in Global Development Organizations
  • Citing Conference Paper
  • February 2015

... One study made an opinion contribution [3]. Multi-part contributions were prevalent, with 33 papers integrating various contribution types, including 24 combining empirical and artifact contributions (e.g., [221]). SHCI demonstrated a stronger commitment to theoretical development (11 studies) alongside empirical (51 studies) and artifact (12 studies) contributions, while HCI4D reflected a predominantly application-oriented approach, focusing on addressing real-world problems in developmental contexts through empirical research (123 studies) and artifact creation (29 papers). ...

Sangeet Swara
  • Citing Conference Paper
  • April 2015