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Showing 1 to 12 of 1071 entries
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Mobile Phone App Aimed at Improving Iron Intake and Bioavailability in Premenopausal Women: A Qualitative Evaluation.

JMIR mHealth and uHealth

Mann D, Riddell L, Lim K, Byrne LK, Nowson C, Rigo M, Szymlek-Gay EA, Booth AO.
PMID: 26416479
JMIR Mhealth Uhealth. 2015 Sep 28;3(3):e92. doi: 10.2196/mhealth.4300.

BACKGROUND: Low iron intake can lead to iron deficiency, which can result in impaired health and iron-deficiency anemia. A mobile phone app, combining successful dietary strategies to increase bioavailable iron with strategies for behavior change, such as goal setting,...

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Mann D, Riddell L, Lim K, et al. Mobile Phone App Aimed at Improving Iron Intake and Bioavailability in Premenopausal Women: A Qualitative Evaluation. JMIR Mhealth Uhealth. 2015;3(3):e92doi: 10.2196/mhealth.4300.
Mann, D., Riddell, L., Lim, K., Byrne, L. K., Nowson, C., Rigo, M., Szymlek-Gay, E. A., & Booth, A. O. (2015). Mobile Phone App Aimed at Improving Iron Intake and Bioavailability in Premenopausal Women: A Qualitative Evaluation. JMIR mHealth and uHealth, 3(3), e92. https://doi.org/10.2196/mhealth.4300
Mann, Davina, et al. "Mobile Phone App Aimed at Improving Iron Intake and Bioavailability in Premenopausal Women: A Qualitative Evaluation." JMIR mHealth and uHealth vol. 3,3 (2015): e92. doi: https://doi.org/10.2196/mhealth.4300
Mann D, Riddell L, Lim K, Byrne LK, Nowson C, Rigo M, Szymlek-Gay EA, Booth AO. Mobile Phone App Aimed at Improving Iron Intake and Bioavailability in Premenopausal Women: A Qualitative Evaluation. JMIR Mhealth Uhealth. 2015 Sep 28;3(3):e92. doi: 10.2196/mhealth.4300. PMID: 26416479; PMCID: PMC4704887.
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A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study.

JMIR mHealth and uHealth

Naughton F, Hopewell S, Lathia N, Schalbroeck R, Brown C, Mascolo C, McEwen A, Sutton S.
PMID: 27637405
JMIR Mhealth Uhealth. 2016 Sep 16;4(3):e106. doi: 10.2196/mhealth.5787.

BACKGROUND: A major cause of lapse and relapse to smoking during a quit attempt is craving triggered by cues from a smoker's immediate environment. To help smokers address these cue-induced cravings when attempting to quit, we have developed a...

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Naughton F, Hopewell S, Lathia N, et al. A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study. JMIR Mhealth Uhealth. 2016;4(3):e106doi: 10.2196/mhealth.5787.
Naughton, F., Hopewell, S., Lathia, N., Schalbroeck, R., Brown, C., Mascolo, C., McEwen, A., & Sutton, S. (2016). A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study. JMIR mHealth and uHealth, 4(3), e106. https://doi.org/10.2196/mhealth.5787
Naughton, Felix, et al. "A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study." JMIR mHealth and uHealth vol. 4,3 (2016): e106. doi: https://doi.org/10.2196/mhealth.5787
Naughton F, Hopewell S, Lathia N, Schalbroeck R, Brown C, Mascolo C, McEwen A, Sutton S. A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study. JMIR Mhealth Uhealth. 2016 Sep 16;4(3):e106. doi: 10.2196/mhealth.5787. PMID: 27637405; PMCID: PMC5045522.
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Atrial Fibrillation Screening in Nonmetropolitan Areas Using a Telehealth Surveillance System With an Embedded Cloud-Computing Algorithm: Prospective Pilot Study.

JMIR mHealth and uHealth

Chen YH, Hung CS, Huang CC, Hung YC, Hwang JJ, Ho YL.
PMID: 28951384
JMIR Mhealth Uhealth. 2017 Sep 26;5(9):e135. doi: 10.2196/mhealth.8290.

BACKGROUND: Atrial fibrillation (AF) is a common form of arrhythmia that is associated with increased risk of stroke and mortality. Detecting AF before the first complication occurs is a recognized priority. No previous studies have examined the feasibility of...

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Chen YH, Hung CS, Huang CC, et al. Atrial Fibrillation Screening in Nonmetropolitan Areas Using a Telehealth Surveillance System With an Embedded Cloud-Computing Algorithm: Prospective Pilot Study. JMIR Mhealth Uhealth. 2017;5(9):e135doi: 10.2196/mhealth.8290.
Chen, Y. H., Hung, C. S., Huang, C. C., Hung, Y. C., Hwang, J. J., & Ho, Y. L. (2017). Atrial Fibrillation Screening in Nonmetropolitan Areas Using a Telehealth Surveillance System With an Embedded Cloud-Computing Algorithm: Prospective Pilot Study. JMIR mHealth and uHealth, 5(9), e135. https://doi.org/10.2196/mhealth.8290
Chen, Ying-Hsien, et al. "Atrial Fibrillation Screening in Nonmetropolitan Areas Using a Telehealth Surveillance System With an Embedded Cloud-Computing Algorithm: Prospective Pilot Study." JMIR mHealth and uHealth vol. 5,9 (2017): e135. doi: https://doi.org/10.2196/mhealth.8290
Chen YH, Hung CS, Huang CC, Hung YC, Hwang JJ, Ho YL. Atrial Fibrillation Screening in Nonmetropolitan Areas Using a Telehealth Surveillance System With an Embedded Cloud-Computing Algorithm: Prospective Pilot Study. JMIR Mhealth Uhealth. 2017 Sep 26;5(9):e135. doi: 10.2196/mhealth.8290. PMID: 28951384; PMCID: PMC5635230.
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A User-Centered Approach: Understanding Client and Caregiver Needs and Preferences in the Development of mHealth Apps for Self-Management.

JMIR mHealth and uHealth

Bendixen RM, Fairman AD, Karavolis M, Sullivan C, Parmanto B.
PMID: 28951378
JMIR Mhealth Uhealth. 2017 Sep 26;5(9):e141. doi: 10.2196/mhealth.7136.

BACKGROUND: Many adolescents and young adults with chronic illness or disability often fail to develop the self-management skills necessary to independently handle medical and self-management routines. In light of these needs, we are developing iMHere 2.0 (Interactive Mobile Health...

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Bendixen RM, Fairman AD, Karavolis M, et al. A User-Centered Approach: Understanding Client and Caregiver Needs and Preferences in the Development of mHealth Apps for Self-Management. JMIR Mhealth Uhealth. 2017;5(9):e141doi: 10.2196/mhealth.7136.
Bendixen, R. M., Fairman, A. D., Karavolis, M., Sullivan, C., & Parmanto, B. (2017). A User-Centered Approach: Understanding Client and Caregiver Needs and Preferences in the Development of mHealth Apps for Self-Management. JMIR mHealth and uHealth, 5(9), e141. https://doi.org/10.2196/mhealth.7136
Bendixen, Roxanna M, et al. "A User-Centered Approach: Understanding Client and Caregiver Needs and Preferences in the Development of mHealth Apps for Self-Management." JMIR mHealth and uHealth vol. 5,9 (2017): e141. doi: https://doi.org/10.2196/mhealth.7136
Bendixen RM, Fairman AD, Karavolis M, Sullivan C, Parmanto B. A User-Centered Approach: Understanding Client and Caregiver Needs and Preferences in the Development of mHealth Apps for Self-Management. JMIR Mhealth Uhealth. 2017 Sep 26;5(9):e141. doi: 10.2196/mhealth.7136. PMID: 28951378; PMCID: PMC5635231.
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Qualitative evaluation of a text messaging intervention to support patients with active tuberculosis: implementation considerations.

JMIR mHealth and uHealth

Iribarren SJ, Sward KA, Beck SL, Pearce PF, Thurston D, Chirico C.
PMID: 25802968
JMIR Mhealth Uhealth. 2015 Feb 27;3(1):e21. doi: 10.2196/mhealth.3971.

BACKGROUND: Tuberculosis (TB) remains a major global public health problem and mobile health (mHealth) interventions have been identified as a modality to improve TB outcomes. TextTB, an interactive text-based intervention to promote adherence with TB medication, was pilot-tested in...

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Iribarren SJ, Sward KA, Beck SL, et al. Qualitative evaluation of a text messaging intervention to support patients with active tuberculosis: implementation considerations. JMIR Mhealth Uhealth. 2015;3(1):e21doi: 10.2196/mhealth.3971.
Iribarren, S. J., Sward, K. A., Beck, S. L., Pearce, P. F., Thurston, D., & Chirico, C. (2015). Qualitative evaluation of a text messaging intervention to support patients with active tuberculosis: implementation considerations. JMIR mHealth and uHealth, 3(1), e21. https://doi.org/10.2196/mhealth.3971
Iribarren, Sarah J, et al. "Qualitative evaluation of a text messaging intervention to support patients with active tuberculosis: implementation considerations." JMIR mHealth and uHealth vol. 3,1 (2015): e21. doi: https://doi.org/10.2196/mhealth.3971
Iribarren SJ, Sward KA, Beck SL, Pearce PF, Thurston D, Chirico C. Qualitative evaluation of a text messaging intervention to support patients with active tuberculosis: implementation considerations. JMIR Mhealth Uhealth. 2015 Feb 27;3(1):e21. doi: 10.2196/mhealth.3971. PMID: 25802968; PMCID: PMC4376194.
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My Interventional Drug-Eluting Stent Educational App (MyIDEA): Patient-Centered Design Methodology.

JMIR mHealth and uHealth

Boyd AD, Moores K, Shah V, Sadhu E, Shroff A, Groo V, Dickens C, Field J, Baumann M, Welland B, Gutowski G, Flores JD, Zhao Z, Bahroos N, Hynes DM, Wilkie DJ.
PMID: 26139587
JMIR Mhealth Uhealth. 2015 Jul 02;3(3):e74. doi: 10.2196/mhealth.4021.

BACKGROUND: Patient adherence to medication regimens is critical in most chronic disease treatment plans. This study uses a patient-centered tablet app, "My Interventional Drug-Eluting Stent Educational App (MyIDEA)." This is an educational program designed to improve patient medication adherence.OBJECTIVE:...

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Boyd AD, Moores K, Shah V, et al. My Interventional Drug-Eluting Stent Educational App (MyIDEA): Patient-Centered Design Methodology. JMIR Mhealth Uhealth. 2015;3(3):e74doi: 10.2196/mhealth.4021.
Boyd, A. D., Moores, K., Shah, V., Sadhu, E., Shroff, A., Groo, V., Dickens, C., Field, J., Baumann, M., Welland, B., Gutowski, G., Flores, J. D., Zhao, Z., Bahroos, N., Hynes, D. M., & Wilkie, D. J. (2015). My Interventional Drug-Eluting Stent Educational App (MyIDEA): Patient-Centered Design Methodology. JMIR mHealth and uHealth, 3(3), e74. https://doi.org/10.2196/mhealth.4021
Boyd, Andrew Dallas, et al. "My Interventional Drug-Eluting Stent Educational App (MyIDEA): Patient-Centered Design Methodology." JMIR mHealth and uHealth vol. 3,3 (2015): e74. doi: https://doi.org/10.2196/mhealth.4021
Boyd AD, Moores K, Shah V, Sadhu E, Shroff A, Groo V, Dickens C, Field J, Baumann M, Welland B, Gutowski G, Flores JD, Zhao Z, Bahroos N, Hynes DM, Wilkie DJ. My Interventional Drug-Eluting Stent Educational App (MyIDEA): Patient-Centered Design Methodology. JMIR Mhealth Uhealth. 2015 Jul 02;3(3):e74. doi: 10.2196/mhealth.4021. PMID: 26139587; PMCID: PMC4526975.
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Use of a Novel Artificial Intelligence Platform on Mobile Devices to Assess Dosing Compliance in a Phase 2 Clinical Trial in Subjects With Schizophrenia.

JMIR mHealth and uHealth

Bain EE, Shafner L, Walling DP, Othman AA, Chuang-Stein C, Hinkle J, Hanina A.
PMID: 28223265
JMIR Mhealth Uhealth. 2017 Feb 21;5(2):e18. doi: 10.2196/mhealth.7030.

BACKGROUND: Accurately monitoring and collecting drug adherence data can allow for better understanding and interpretation of the outcomes of clinical trials. Most clinical trials use a combination of pill counts and self-reported data to measure drug adherence, despite the...

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Bain EE, Shafner L, Walling DP, et al. Use of a Novel Artificial Intelligence Platform on Mobile Devices to Assess Dosing Compliance in a Phase 2 Clinical Trial in Subjects With Schizophrenia. JMIR Mhealth Uhealth. 2017;5(2):e18doi: 10.2196/mhealth.7030.
Bain, E. E., Shafner, L., Walling, D. P., Othman, A. A., Chuang-Stein, C., Hinkle, J., & Hanina, A. (2017). Use of a Novel Artificial Intelligence Platform on Mobile Devices to Assess Dosing Compliance in a Phase 2 Clinical Trial in Subjects With Schizophrenia. JMIR mHealth and uHealth, 5(2), e18. https://doi.org/10.2196/mhealth.7030
Bain, Earle E, et al. "Use of a Novel Artificial Intelligence Platform on Mobile Devices to Assess Dosing Compliance in a Phase 2 Clinical Trial in Subjects With Schizophrenia." JMIR mHealth and uHealth vol. 5,2 (2017): e18. doi: https://doi.org/10.2196/mhealth.7030
Bain EE, Shafner L, Walling DP, Othman AA, Chuang-Stein C, Hinkle J, Hanina A. Use of a Novel Artificial Intelligence Platform on Mobile Devices to Assess Dosing Compliance in a Phase 2 Clinical Trial in Subjects With Schizophrenia. JMIR Mhealth Uhealth. 2017 Feb 21;5(2):e18. doi: 10.2196/mhealth.7030. PMID: 28223265; PMCID: PMC5340925.
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Diet app use by sports dietitians: a survey in five countries.

JMIR mHealth and uHealth

Jospe MR, Fairbairn KA, Green P, Perry TL.
PMID: 25616274
JMIR Mhealth Uhealth. 2015 Jan 22;3(1):e7. doi: 10.2196/mhealth.3345.

BACKGROUND: Despite the hundreds of diet apps available for use on smartphones (mobile phones), no studies have examined their use as tools for dietary assessment and tracking in sports nutrition.OBJECTIVE: The aim is to examine the prevalence and perceptions...

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Jospe MR, Fairbairn KA, Green P, et al. Diet app use by sports dietitians: a survey in five countries. JMIR Mhealth Uhealth. 2015;3(1):e7doi: 10.2196/mhealth.3345.
Jospe, M. R., Fairbairn, K. A., Green, P., & Perry, T. L. (2015). Diet app use by sports dietitians: a survey in five countries. JMIR mHealth and uHealth, 3(1), e7. https://doi.org/10.2196/mhealth.3345
Jospe, Michelle R, et al. "Diet app use by sports dietitians: a survey in five countries." JMIR mHealth and uHealth vol. 3,1 (2015): e7. doi: https://doi.org/10.2196/mhealth.3345
Jospe MR, Fairbairn KA, Green P, Perry TL. Diet app use by sports dietitians: a survey in five countries. JMIR Mhealth Uhealth. 2015 Jan 22;3(1):e7. doi: 10.2196/mhealth.3345. PMID: 25616274; PMCID: PMC4319146.
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Popular Mobile Phone Apps for Diet and Weight Loss: A Content Analysis.

JMIR mHealth and uHealth

Zaidan S, Roehrer E.
PMID: 27400806
JMIR Mhealth Uhealth. 2016 Jul 11;4(3):e80. doi: 10.2196/mhealth.5406.

BACKGROUND: A review of the literature has revealed that the rates of overweight and obesity have been increasing in Australia over the last two decades and that wellness mobile phone apps play a significant role in monitoring and managing...

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Zaidan S, Roehrer E. Popular Mobile Phone Apps for Diet and Weight Loss: A Content Analysis. JMIR Mhealth Uhealth. 2016;4(3):e80doi: 10.2196/mhealth.5406.
Zaidan, S., & Roehrer, E. (2016). Popular Mobile Phone Apps for Diet and Weight Loss: A Content Analysis. JMIR mHealth and uHealth, 4(3), e80. https://doi.org/10.2196/mhealth.5406
Zaidan, Sarah, and Roehrer, Erin. "Popular Mobile Phone Apps for Diet and Weight Loss: A Content Analysis." JMIR mHealth and uHealth vol. 4,3 (2016): e80. doi: https://doi.org/10.2196/mhealth.5406
Zaidan S, Roehrer E. Popular Mobile Phone Apps for Diet and Weight Loss: A Content Analysis. JMIR Mhealth Uhealth. 2016 Jul 11;4(3):e80. doi: 10.2196/mhealth.5406. PMID: 27400806; PMCID: PMC4960405.
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Behavioral functionality of mobile apps in health interventions: a systematic review of the literature.

JMIR mHealth and uHealth

Payne HE, Lister C, West JH, Bernhardt JM.
PMID: 25803705
JMIR Mhealth Uhealth. 2015 Feb 26;3(1):e20. doi: 10.2196/mhealth.3335.

BACKGROUND: Several thousand mobile phone apps are available to download to mobile phones for health and fitness. Mobile phones may provide a unique means of administering health interventions to populations.OBJECTIVE: The purpose of this systematic review was to systematically...

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Payne HE, Lister C, West JH, et al. Behavioral functionality of mobile apps in health interventions: a systematic review of the literature. JMIR Mhealth Uhealth. 2015;3(1):e20doi: 10.2196/mhealth.3335.
Payne, H. E., Lister, C., West, J. H., & Bernhardt, J. M. (2015). Behavioral functionality of mobile apps in health interventions: a systematic review of the literature. JMIR mHealth and uHealth, 3(1), e20. https://doi.org/10.2196/mhealth.3335
Payne, Hannah E, et al. "Behavioral functionality of mobile apps in health interventions: a systematic review of the literature." JMIR mHealth and uHealth vol. 3,1 (2015): e20. doi: https://doi.org/10.2196/mhealth.3335
Payne HE, Lister C, West JH, Bernhardt JM. Behavioral functionality of mobile apps in health interventions: a systematic review of the literature. JMIR Mhealth Uhealth. 2015 Feb 26;3(1):e20. doi: 10.2196/mhealth.3335. PMID: 25803705; PMCID: PMC4376122.
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Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: A Prospective Intervention.

JMIR mHealth and uHealth

Thompson D, Mackay T, Matthews M, Edwards J, Peters NS, Connolly SB.
PMID: 28606895
JMIR Mhealth Uhealth. 2017 Jun 12;5(6):e76. doi: 10.2196/mhealth.6998.

BACKGROUND: Use of appropriate cardioprotective medication is a cornerstone of cardiovascular disease prevention, but less-than-optimal patient adherence is common. Thus, strategies for improving adherence are recommended to adopt a multifaceted approach.OBJECTIVE: The objective of our study was to test...

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Thompson D, Mackay T, Matthews M, et al. Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: A Prospective Intervention. JMIR Mhealth Uhealth. 2017;5(6):e76doi: 10.2196/mhealth.6998.
Thompson, D., Mackay, T., Matthews, M., Edwards, J., Peters, N. S., & Connolly, S. B. (2017). Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: A Prospective Intervention. JMIR mHealth and uHealth, 5(6), e76. https://doi.org/10.2196/mhealth.6998
Thompson, David, et al. "Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: A Prospective Intervention." JMIR mHealth and uHealth vol. 5,6 (2017): e76. doi: https://doi.org/10.2196/mhealth.6998
Thompson D, Mackay T, Matthews M, Edwards J, Peters NS, Connolly SB. Direct Adherence Measurement Using an Ingestible Sensor Compared With Self-Reporting in High-Risk Cardiovascular Disease Patients Who Knew They Were Being Measured: A Prospective Intervention. JMIR Mhealth Uhealth. 2017 Jun 12;5(6):e76. doi: 10.2196/mhealth.6998. PMID: 28606895; PMCID: PMC5484791.
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Tackling Regional Public Health Issues Using Mobile Health Technology: Event Report of an mHealth Hackathon in Thailand.

JMIR mHealth and uHealth

Pathanasethpong A, Soomlek C, Morley K, Morley M, Polpinit P, Dagan A, Weis JW, Celi LA.
PMID: 29038098
JMIR Mhealth Uhealth. 2017 Oct 16;5(10):e155. doi: 10.2196/mhealth.8259.

Hackathons are intense, short, collaborative events focusing on solving real world problems through interdisciplinary teams. This is a report of the mHealth hackathon hosted by Khon Kaen University in collaboration with MIT Sana and faculty members from Harvard Medical...

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Pathanasethpong A, Soomlek C, Morley K, et al. Tackling Regional Public Health Issues Using Mobile Health Technology: Event Report of an mHealth Hackathon in Thailand. JMIR Mhealth Uhealth. 2017;5(10):e155doi: 10.2196/mhealth.8259.
Pathanasethpong, A., Soomlek, C., Morley, K., Morley, M., Polpinit, P., Dagan, A., Weis, J. W., & Celi, L. A. (2017). Tackling Regional Public Health Issues Using Mobile Health Technology: Event Report of an mHealth Hackathon in Thailand. JMIR mHealth and uHealth, 5(10), e155. https://doi.org/10.2196/mhealth.8259
Pathanasethpong, Atipong, et al. "Tackling Regional Public Health Issues Using Mobile Health Technology: Event Report of an mHealth Hackathon in Thailand." JMIR mHealth and uHealth vol. 5,10 (2017): e155. doi: https://doi.org/10.2196/mhealth.8259
Pathanasethpong A, Soomlek C, Morley K, Morley M, Polpinit P, Dagan A, Weis JW, Celi LA. Tackling Regional Public Health Issues Using Mobile Health Technology: Event Report of an mHealth Hackathon in Thailand. JMIR Mhealth Uhealth. 2017 Oct 16;5(10):e155. doi: 10.2196/mhealth.8259. PMID: 29038098; PMCID: PMC5662787.
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Showing 1 to 12 of 1071 entries