A Novel Mobile Phone Application to Assess Nutrition Environment Measures in Low- and Middle-Income Countries

Kanter, Rebecca; Alvey, Jeniece; Fuentes, Déborah

doi:10.1177/156482651403500302

Cited by 12 publications

(8 citation statements)

References 4 publications

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“…A study of apps for neonatal intubation has also shown improvement in the skills and knowledge scores [ 28 ]. Efficacy of the Android based App- ‘AIIMS-WHO CC STPs’ in sick newborn care has been reported earlier among the nursing students [ 13 ] but the present study was done among the physicians who are involved in the direct management of sick newborns at district hospital level and at most times have to manage the sick newborn single handed.…”

Section: Discussionmentioning

confidence: 83%

“…Smart phone ‘app’ is an application that which provides immediate electronic access in multiple fields. In medical field, it may help keep track of appointments, aid collection of real time data [ 12 ]; and helps and assess nutrition environment [ 13 ] in addition to multiple other uses. App installations have multiplied the market of smartphone immensely, and it is growing rapidly [ 9 – 11 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

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Efficacy and acceptability of an “App on sick newborn care” in physicians from newborn units

et al. 2016

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BackgroundThere has been an increased emphasis on institutional births, and thus an increasing clinical work load for health care professionals in the recent past. Hence, continuing education, training, ongoing supervision, and mentorship of health care professionals working in these health facilities with easy access to guidelines in a cost effective manner has become a challenging task. With the increased emphasis on institutional births, and an increasing clinical work load, continuing education and training of health care professional managing these health facilities, their ongoing supervision, mentorship, with ready availability of guidelines in a cost effective manner becomes imperative and is a challenging task. Training opportunities can be linked to mobile electronic devices and ‘Apps’ to improve the care of seriously ill newborn. The aim of this study was to evaluate the efficacy of an innovative point of care tool- Android based App- ‘AIIMS-WHO CC STPs’ on the knowledge, skill scores, and satisfaction among Special Newborn Care Unit (SNCU) physicians managing sick neonates.MethodsThe baseline knowledge and skill scores of pediatricians working in SNCUs in the state of Tamil Nadu, India (n = 32) were assessed by 25 multiple choice questions (MCQs) and by five Objective Structured Clinical Examination (OSCE) skill stations. The training was conducted in a single-day workshop using the app on four modules followed by post-training assessment of knowledge and skill scores after 3 weeks using the same. The satisfaction was assessed by mixed method approach using Likert’s scale and focus group discussion (FGD) after 3 weeks.ResultsThe mean knowledge scores [19.4 (2.6) vs. 10.7 (3.2); maximum marks (MM) 25, mean difference 8.7 (95 % CI 7.6 to 9.9)], and the composite mean skill scores [55.2 (5.8) and 42 (6.2), MM 75, mean difference 13.2 (95 % CI 10.4 to 15.9)] improved after training. The median (IQR) satisfaction score with the course was 4 (4 to 5) (Likert’s scale). Focus group discussion revealed that the physicians were overall satisfied using the device. They expressed overall satisfaction on the teaching methodology using wall charts, simulators, and device.ConclusionTraining SNCU physicians on Android based App- ‘AIIMS-WHO CC STPs’ improved their knowledge and skills. This app may have a potential role as a supplement to other modalities in training doctors for improving newborn care.

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Section: Discussionmentioning

confidence: 83%

Section: Introductionmentioning

confidence: 99%

Efficacy and acceptability of an “App on sick newborn care” in physicians from newborn units

et al. 2016

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“…One set of authors noted that it could be app-based on an Android smartphone/tablet or used on a low-end Nokia feature phone [30]. A disadvantage was in settings with limited connectivity where a CommCare project could be developed offline but needed a cellular or Internet connection to be downloaded to a smartphone [29] and to upload data to the cloud-based database [27]. …”

Section: Resultsmentioning

confidence: 99%

Scoping review and evaluation of SMS/text messaging platforms for mHealth projects or clinical interventions

Iribarren

Brown

Giguere

et al. 2017

International Journal of Medical Informatics

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Objectives Mobile technology supporting text messaging interventions (TMIs) continues to evolve, presenting challenges for researchers and healthcare professionals who need to choose software solutions to best meet their program needs. The objective of this review was to systematically identify and compare text messaging platforms and to summarize their advantages and disadvantages as described in peer-reviewed literature. Methods A scoping review was conducted using four steps: 1) identify currently available platforms through online searches and in mHealth repositories; 2) expand evaluation criteria of an mHealth mobile messaging toolkit and prior user experiences as researchers; 3) evaluate each platform’s functions and features based on the expanded criteria and a vendor survey; and 4) assess the documentation of platform use in the peer-review literature. Platforms meeting inclusion criteria were assessed independently by three reviewers and discussed until consensus was reached. The PRISMA guidelines were followed to report findings. Results Of the 1041 potentially relevant search results, 27 platforms met inclusion criteria. Most were excluded because they were not platforms (e.g., guides, toolkits, reports, or SMS gateways). Of the 27 platforms, only 12 were identified in existing mHealth repositories, 10 from Google searches, while five were found in both. The expanded evaluation criteria included 22 items. Results indicate no uniform presentation of platform features and functions, often making these difficult to discern. Fourteen of the platforms were reported as open source, 10 focused on health care and 16 were tailored to meet needs of low resource settings (not mutually exclusive). Fifteen platforms had do-it-yourself setup (programming not required) while the remainder required coding/programming skills or setups could be built to specification by the vendor. Frequently described features included data security and access to the platform via cloud-based systems. Pay structures and reported targeted end-users varied. Peer-reviewed publications listed only 6 of the 27 platforms across 21 publications. The majority of these articles reported the name of the platform used but did not describe advantages or disadvantages. Conclusions Searching for and comparing mHealth platforms for TMIs remains a challenge. The results of this review can serve as a resource for researchers and healthcare professionals wanting to integrate TMIs into health interventions. Steps to identify, compare and assess advantages and disadvantages are outlined for consideration. Expanded evaluation criteria can be used by future researchers. Continued and more comprehensive platform tools should be integrated into mHealth repositories. Detailed descriptions of platform advantages and disadvantages are needed when mHealth researchers publish findings to expand the body of research on texting-based tools for healthcare. Standardized descriptions and features are recommended for vendor sites.

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“…Innovations in mobile technologies provide opportunities to improve existing surveillance methods. Recent studies comparing mobile versus paper-based data collection for surveillance have identified several benefits of mobile technologies, including reduced data loss [ 3 ], real-time quality control [ 3 ], rapid use of data [ 3 , 4 ], and reduced costs [ 4 ]. Mobile phones have the added benefit of being less conspicuous than paper surveys [ 4 ]—an important consideration in retail surveillance.…”

Section: Introductionmentioning

confidence: 99%

Implementation of a Multimodal Mobile System for Point-of-Sale Surveillance: Lessons Learned From Case Studies in Washington, DC, and New York City

Cantrell¹,

Ganz

Ilakkuvan

et al. 2015

JMIR Public Health Surveill

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BackgroundIn tobacco control and other fields, point-of-sale surveillance of the retail environment is critical for understanding industry marketing of products and informing public health practice. Innovations in mobile technology can improve existing, paper-based surveillance methods, yet few studies describe in detail how to operationalize the use of technology in public health surveillance.ObjectiveThe aims of this paper are to share implementation strategies and lessons learned from 2 tobacco, point-of-sale surveillance projects to inform and prepare public health researchers and practitioners to implement new mobile technologies in retail point-of-sale surveillance systems.MethodsFrom 2011 to 2013, 2 point-of-sale surveillance pilot projects were conducted in Washington, DC, and New York, New York, to capture information about the tobacco retail environment and test the feasibility of a multimodal mobile data collection system, which included capabilities for audio or video recording data, electronic photographs, electronic location data, and a centralized back-end server and dashboard. We established a preimplementation field testing process for both projects, which involved a series of rapid and iterative tests to inform decisions and establish protocols around key components of the project.ResultsImportant components of field testing included choosing a mobile phone that met project criteria, establishing an efficient workflow and accessible user interfaces for each component of the system, training and providing technical support to fieldworkers, and developing processes to integrate data from multiple sources into back-end systems that can be utilized in real-time.ConclusionsA well-planned implementation process is critical for successful use and performance of multimodal mobile surveillance systems. Guidelines for implementation include (1) the need to establish and allow time for an iterative testing framework for resolving technical and logistical challenges; (2) developing a streamlined workflow and user-friendly interfaces for data collection; (3) allowing for ongoing communication, feedback, and technology-related skill-building among all staff; and (4) supporting infrastructure for back-end data systems. Although mobile technologies are evolving rapidly, lessons learned from these case studies are essential for ensuring that the many benefits of new mobile systems for rapid point-of-sale surveillance are fully realized.

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A Novel Mobile Phone Application to Assess Nutrition Environment Measures in Low- and Middle-Income Countries

Cited by 12 publications

References 4 publications

Efficacy and acceptability of an “App on sick newborn care” in physicians from newborn units

Efficacy and acceptability of an “App on sick newborn care” in physicians from newborn units

Scoping review and evaluation of SMS/text messaging platforms for mHealth projects or clinical interventions

Implementation of a Multimodal Mobile System for Point-of-Sale Surveillance: Lessons Learned From Case Studies in Washington, DC, and New York City

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