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Results: 1 to 20 of 175

1.

Potential Impact of Incorporating a Patient-Selected Support Person into mHealth for Depression.

Aikens JE, Trivedi R, Heapy A, Pfeiffer PN, Piette JD.

J Gen Intern Med. 2015 Feb 10. [Epub ahead of print]

PMID:
25666218
2.

Ethnic Differences in Geriatric Conditions and Diabetes Complications Among Older, Insured Adults With Diabetes: The Diabetes and Aging Study.

Karter AJ, Laiteerapong N, Chin MH, Moffet HH, Parker MM, Sudore R, Adams AS, Schillinger D, Adler NS, Whitmer RA, Piette JD, Huang ES.

J Aging Health. 2015 Feb 5. pii: 0898264315569455. [Epub ahead of print]

PMID:
25659747
3.

Shedding Light on the Association Between Social Support and Adherence in Hypertension: a Comment on Magrin et al.

Trivedi RB, Piette JD.

Ann Behav Med. 2015 Jan 16. [Epub ahead of print] No abstract available.

PMID:
25591658
4.

Mobile health monitoring to characterize depression symptom trajectories in primary care.

Pfeiffer PN, Bohnert KM, Zivin K, Yosef M, Valenstein M, Aikens JE, Piette JD.

J Affect Disord. 2015 Mar 15;174:281-6. doi: 10.1016/j.jad.2014.11.040. Epub 2014 Nov 28.

PMID:
25527999
5.

Integrating support persons into diabetes telemonitoring to improve self-management and medication adherence.

Aikens JE, Trivedi R, Aron DC, Piette JD.

J Gen Intern Med. 2015 Mar;30(3):319-26. doi: 10.1007/s11606-014-3101-9. Epub 2014 Nov 25.

PMID:
25421436
6.

Establishing an independent mobile health program for chronic disease self-management support in bolivia.

Piette JD, Valverde H, Marinec N, Jantz R, Kamis K, de la Vega CL, Woolley T, Pinto B.

Front Public Health. 2014 Aug 13;2:95. doi: 10.3389/fpubh.2014.00095. eCollection 2014.

7.

The potential impact of intelligent systems for mobile health self-management support: Monte Carlo simulations of text message support for medication adherence.

Piette JD, Farris KB, Newman S, An L, Sussman J, Singh S.

Ann Behav Med. 2015 Feb;49(1):84-94. doi: 10.1007/s12160-014-9634-7.

8.

Improvements in illness self-management and psychological distress associated with telemonitoring support for adults with diabetes.

Aikens JE, Rosland AM, Piette JD.

Prim Care Diabetes. 2015 Apr;9(2):127-34. doi: 10.1016/j.pcd.2014.06.003. Epub 2014 Jul 22.

PMID:
25065270
9.

Rethinking the frequency of between-visit monitoring for patients with diabetes.

Piette JD, Aikens JE, Rosland AM, Sussman JB.

Med Care. 2014 Jun;52(6):511-8. doi: 10.1097/MLR.0000000000000131.

PMID:
24824536
10.

Social support and lifestyle vs. medical diabetes self-management in the diabetes study of Northern California (DISTANCE).

Rosland AM, Piette JD, Lyles CR, Parker MM, Moffet HH, Adler NE, Schillinger D, Karter AJ.

Ann Behav Med. 2014 Dec;48(3):438-47. doi: 10.1007/s12160-014-9623-x.

PMID:
24794624
11.

Addressing medication nonadherence by mobile phone: development and delivery of tailored messages.

Gatwood J, Balkrishnan R, Erickson SR, An LC, Piette JD, Farris KB.

Res Social Adm Pharm. 2014 Nov-Dec;10(6):809-23. doi: 10.1016/j.sapharm.2014.01.002. Epub 2014 Feb 5.

12.

Depression self-management assistance using automated telephonic assessments and social support.

Piette JD, Aikens JE, Trivedi R, Parrish D, Standiford C, Marinec NS, Striplin D, Bernstein SJ.

Am J Manag Care. 2013 Nov;19(11):892-900.

13.

A systematic review of innovative diabetes care models in low-and middle-income countries (LMICs).

Esterson YB, Carey M, Piette JD, Thomas N, Hawkins M.

J Health Care Poor Underserved. 2014 Feb;25(1):72-93. doi: 10.1353/hpu.2014.0037. Review.

PMID:
24509014
14.

Diabetes self-management support using mHealth and enhanced informal caregiving.

Aikens JE, Zivin K, Trivedi R, Piette JD.

J Diabetes Complications. 2014 Mar-Apr;28(2):171-6. doi: 10.1016/j.jdiacomp.2013.11.008. Epub 2013 Nov 27.

15.

National standards for diabetes self-management education and support.

Haas L, Maryniuk M, Beck J, Cox CE, Duker P, Edwards L, Fisher EB, Hanson L, Kent D, Kolb L, McLaughlin S, Orzeck E, Piette JD, Rhinehart AS, Rothman R, Sklaroff S, Tomky D, Youssef G; 2012 Standards Revision Task Force.

Diabetes Care. 2014 Jan;37 Suppl 1:S144-53. doi: 10.2337/dc14-S144. No abstract available.

16.

Characteristics and well-being of informal caregivers: Results from a nationally-representative US survey.

Trivedi R, Beaver K, Bouldin ED, Eugenio E, Zeliadt SB, Nelson K, Rosland AM, Szarka JG, Piette JD.

Chronic Illn. 2013 Oct 23;10(3):167-179. [Epub ahead of print]

PMID:
24154869
17.

Response to letter with regard to our paper "Engagement with automated patient monitoring and self-management support calls": experience with a thousand chronically ill patients.

Piette JD, Rosland AM, Marinec NS, Striplin D, Bernstein SJ, Silveira MJ.

Med Care. 2013 Nov;51(11):1027-8. doi: 10.1097/MLR.0b013e3182a9632b. No abstract available.

PMID:
24113814
18.

Pedometer-based internet-mediated intervention for adults with chronic low back pain: randomized controlled trial.

Krein SL, Kadri R, Hughes M, Kerr EA, Piette JD, Holleman R, Kim HM, Richardson CR.

J Med Internet Res. 2013 Aug 19;15(8):e181. doi: 10.2196/jmir.2605.

19.

Facilitating out-of-home caregiving through health information technology: survey of informal caregivers' current practices, interests, and perceived barriers.

Zulman DM, Piette JD, Jenchura EC, Asch SM, Rosland AM.

J Med Internet Res. 2013 Jul 10;15(7):e123. doi: 10.2196/jmir.2472.

20.

Maximizing the value of mobile health monitoring by avoiding redundant patient reports: prediction of depression-related symptoms and adherence problems in automated health assessment services.

Piette JD, Sussman JB, Pfeiffer PN, Silveira MJ, Singh S, Lavieri MS.

J Med Internet Res. 2013 Jul 5;15(7):e118. doi: 10.2196/jmir.2582.

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