Smartphone Applications to Support Tuberculosis Prevention and Treatment: Review and Evaluation

scientific article

Smartphone Applications to Support Tuberculosis Prevention and Treatment: Review and Evaluation is …
instance of (P31):
scholarly articleQ13442814
review articleQ7318358

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P356DOI10.2196/MHEALTH.5022
P3181OpenCitations bibliographic resource ID1655434
P932PMC publication ID4884267
P698PubMed publication ID27177591

P50authorRebecca SchnallQ38803910
P2093author name stringPatricia W Stone
Alex Carballo-Diéguez
Sarah J Iribarren
P2860cites workSmartphone and tablet self management apps for asthmaQ24202336
Mobile Apps for Bipolar Disorder: A Systematic Review of Features and Content QualityQ26797449
New target prediction and visualization tools incorporating open source molecular fingerprints for TB Mobile 2.0Q27902272
Adherence to MedicationQ28314923
User profiles of a smartphone application to support drug adherence--experiences from the iNephro projectQ28534620
Finding a depression app: a review and content analysis of the depression app marketplaceQ28651287
TB Mobile: a mobile app for anti-tuberculosis molecules with known targetsQ28709353
Advanced networks and computing in healthcareQ28743007
A lot of action, but not in the right direction: systematic review and content analysis of smartphone applications for the prevention, detection, and management of cancerQ33440399
A systematic review of smartphone applications for chronic pain available for download in the United StatesQ33440666
A systematic review of quality assessment methods for smartphone health appsQ33442217
mHealth: a strategic field without a solid scientific soul. a systematic review of pain-related appsQ33856819
Comparison of mobile apps for the leading causes of death among different income zones: a review of the literature and app stores.Q33966831
Diagnostic accuracy of computer-aided detection of pulmonary tuberculosis in chest radiographs: a validation study from sub-Saharan AfricaQ34142288
Listening to Those at the Frontline: Patient and Healthcare Personnel Perspectives on Tuberculosis Treatment Barriers and Facilitators in High TB Burden Regions of ArgentinaQ34330877
A pilot study of an mHealth application for healthcare workers: poor uptake despite high reported acceptability at a rural South African community-based MDR-TB treatment programQ34749709
Review and analysis of existing mobile phone applications for health care-associated infection prevention.Q35688910
mHealth Technology as a Persuasive Tool for Treatment, Care and Management of Persons Living with HIV.Q35836751
A Framework to Assist Health Professionals in Recommending High-Quality Apps for Supporting Chronic Disease Self-Management: Illustrative Assessment of Type 2 Diabetes AppsQ36440914
HCI and mobile health interventions: How human-computer interaction can contribute to successful mobile health interventionsQ37313784
The availability, functionality, and quality of mobile applications supporting medication self-managementQ37715412
Mobile applications for diabetics: a systematic review and expert-based usability evaluation considering the special requirements of diabetes patients age 50 years or olderQ37731373
Mobile health to improve tuberculosis care and control: a call worth making.Q38094358
Mobile app rating scale: a new tool for assessing the quality of health mobile appsQ38444969
A mobile health approach to tuberculosis contact tracing in resource-limited settingsQ40795930
Using usability heuristics to evaluate patient safety of medical devicesQ51813335
Tuberculosis--time to accelerate progressQ84270205
P433issue2
P407language of work or nameEnglishQ1860
P921main subjecttuberculosisQ12204
smartphoneQ22645
mobile appQ620615
P304page(s)e25
P577publication date2016-01-01
P1433published inJMIR mHealth and uHealthQ27725554
P1476titleSmartphone Applications to Support Tuberculosis Prevention and Treatment: Review and Evaluation
P478volume4

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cites work (P2860)
Q92548470A Systematic Review of eHealth Interventions Addressing HIV/STI Prevention Among Men Who Have Sex With Men
Q88774639Criteria for assessing the quality of mHealth apps: a systematic review
Q90725229Diagnosing COVID-19: The Disease and Tools for Detection
Q90089574Does mobile phone instructional video demonstrating sputum expectoration improve the sputum sample quality and quantity in presumptive pulmonary TB cases? Protocol for a prospective pragmatic non-randomised controlled trial in Karnataka state, India
Q92639617Does phone messaging improves tuberculosis treatment success? A systematic review and meta-analysis
Q38614878Evaluating clinicians' user experience and acceptability of LearnTB, a smartphone application for tuberculosis in India
Q64081003Mobile Health for Tuberculosis Management in South India: Is Video-Based Directly Observed Treatment an Acceptable Alternative?
Q89693454Use of Digital Technology to Enhance Tuberculosis Control: Scoping Review
Q40988899Using mHealth to enhance TB referrals in a tribal district of India

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