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Mobile Device
mHealth interventions for disadvantaged and vulnerable people with type 2 diabetes.
Citation:
Mayberry LS, Lyles CR, Oldenburg B, Osborn CY, Parks M, Peek ME. mHealth interventions for disadvantaged and vulnerable people with type 2 diabetes. Curr Diab Rep. 2019 Nov 25;19(12):148. doi: 10.1007/s11892-019-1280-9. Review. PMID: 31768662.
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A clinically integrated mHealth app and practice model for collecting patient-reported outcomes between visits for asthma patients: implementation and feasibility.
Citation:
Rudin RS, Fanta CH, Qureshi N, Duffy E, Edelen MO, Dalal AK, Bates DW. A clinically integrated mHealth app and practice model for collecting patient-reported outcomes between visits for asthma patients: implementation and feasibility. Appl Clin Inform. 2019 Oct;10(5):783-793. doi: 10.1055/s-0039-1697597. Epub 2019 Oct 16. PMID: 31618782.
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Key recruitment and retention strategies for a pilot web-based intervention to decrease obesity risk among minority youth.
Citation:
DeFrank G, Singh S, Mateo KF, Harrison L, Rosenthal A, Gorman A, Leung MM. Key recruitment and retention strategies for a pilot web-based intervention to decrease obesity risk among minority youth. Pilot Feasibility Stud. 2019 Sep 5;5:109. doi: 10.1186/s40814-019-0492-8. eCollection 2019. PMID: 31516726.
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Using the technology acceptance model to develop StartSmart: mHealth for screening, brief intervention, and referral for risk and protective factors in pregnancy.
Citation:
Gance-Cleveland B, Leiferman J, Aldrich H, Nodine P, Anderson J, Nacht A, Martin J, Carrington S, Ozkaynak M. Using the technology acceptance model to develop StartSmart: mHealth for screening, brief intervention, and referral for risk and protective factors in pregnancy. J Midwifery Womens Health. 2019 Jul 26. doi: 10.1111/jmwh.13009. [Epub ahead of print]. PMID: 31347784.
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Improving the Management of Multiple Chronic Conditions with mPROVE
Description:
This research will develop an information technology and implementation strategy for using patient-reported outcomes in primary care settings caring for diverse patients with multiple chronic conditions.
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Project Dates:
September 1, 2019 to August 31, 2022
AHRQ Step Up App Challenge Summary
Citation:
Sensis. AHRQ Step Up App Challenge Summary. Prepared under Contract No. HHSA29032001. AHRQ Publication No. 18-0058-1-EF. Rockville, MD: Agency for Healthcare Research and Quality; August 2019.
Principal Investigator:
A Direct-to-Patient Alert for Glycated Hemoglobin Screening Using Prediction Modeling and Mobile Health (mHealth)
Description:
This research will use a clinical decision support tool to identify patients at high risk for type 2 diabetes and text message these patients, offering them in-clinic hemoglobin A1c testing.
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Project Dates:
April 1, 2019 to March 31, 2021
Challenges in the development of e-Quit worRx: an iPad app for smoking cessation counseling and shared decision making in primary care.
Citation:
Doarn CR, Vonder Meulen MB, Pallerla H, Acquavita SP, Regan S, Elder N, Tubb MR. Challenges in the development of e-Quit worRx: an iPad app for smoking cessation counseling and shared decision making in primary care. JMIR Form Res. 2019 Mar 29;3(1):e11300. doi: 10.2196/11300. PMID: 30924783.
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Use of mobile technology to monitor pain and reduce outpatient, emergency department (ED), and hospital visits for sickle cell pain crisis.
Citation:
Narine K, Chang J, Jonassaint J, et al. Use of mobile technology to monitor pain and reduce outpatient, emergency department (ED), and hospital visits for sickle cell pain crisis [abstract]. American Society of Hematology 2016 Dec 4-6; Atlanta, GA. Blood 2016 128:2390.
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Applying the behavior change technique taxonomy to mobile health applications: a protocol.
Citation:
Courtney KL, Antonio M, Garnett A, Matthews JT. Applying the behavior change technique taxonomy to mobile health applications: a protocol. Stud Health Technol Inform. 2019;257:64-69. PMID: 30741174.
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