John D Piette

Summary

Affiliation: University of Michigan
Country: USA

Publications

  1. Piette J, Heisler M, Ganoczy D, McCarthy J, Valenstein M. Differential medication adherence among patients with schizophrenia and comorbid diabetes and hypertension. Psychiatr Serv. 2007;58:207-12 pubmed
    ..The lower levels of adherence observed for antipsychotics may be associated with the shorter refill intervals for these medications. ..
  2. Piette J, Heisler M, Wagner T. Medication characteristics beyond cost alone influence decisions to underuse pharmacotherapy in response to financial pressures. J Clin Epidemiol. 2006;59:739-46 pubmed
    ..001). Medication characteristics beyond cost alone influence decisions to underuse treatment in response to financial pressures. ..
  3. Piette J, Heisler M, Harand A, Juip M. Beliefs about prescription medications among patients with diabetes: variation across racial groups and influences on cost-related medication underuse. J Health Care Poor Underserved. 2010;21:349-61 pubmed publisher
    ..Many diabetes patients have negative beliefs about their medications. Other unknown factors however, explain higher rates of cost-related adherence problems among African American compared with White patients. ..
  4. Piette J, Farris K, Newman S, An L, Sussman J, Singh S. The potential impact of intelligent systems for mobile health self-management support: Monte Carlo simulations of text message support for medication adherence. Ann Behav Med. 2015;49:84-94 pubmed publisher
    ..When barriers change, RL can adjust message targeting. RL can detect when messages are sent too frequently causing burnout. RL systems could make mHealth services more effective. ..
  5. Piette J, Striplin D, Marinec N, Chen J, Trivedi R, Aron D, et al. A Mobile Health Intervention Supporting Heart Failure Patients and Their Informal Caregivers: A Randomized Comparative Effectiveness Trial. J Med Internet Res. 2015;17:e142 pubmed publisher
    ..ClinicalTrials.gov NCT00555360; https://clinicaltrials.gov/ct2/show/NCT00555360 (Archived by WebCite at http://www.webcitation.org/6Z4Tsk78B). ..
  6. Piette J. Enhancing support via interactive technologies. Curr Diab Rep. 2002;2:160-5 pubmed
    ..Studies in each of these areas have been somewhat encouraging. However, intervention effects have been moderate, and researchers face significant challenges in designing and implementing definitive studies. ..
  7. Piette J, Heisler M, Horne R, Caleb Alexander G. A conceptually based approach to understanding chronically ill patients' responses to medication cost pressures. Soc Sci Med. 2006;62:846-57 pubmed
    ..The next generation of studies examining the consequences of prescription drug costs should expand our knowledge of the ways in which these co-factors influence patients' responses to medication cost pressures. ..
  8. Piette J, Lun K, Moura L, Fraser H, Mechael P, Powell J, et al. Impacts of e-health on the outcomes of care in low- and middle-income countries: where do we go from here?. Bull World Health Organ. 2012;90:365-72 pubmed publisher
    ..Although large programmes for e-health implementation and research are being conducted in many low- and middle-income countries, more information on the impacts of e-health on outcomes and costs in these settings is still needed. ..
  9. Piette J, Rosland A, Marinec N, Striplin D, Bernstein S, Silveira M. Engagement with automated patient monitoring and self-management support calls: experience with a thousand chronically ill patients. Med Care. 2013;51:216-23 pubmed publisher
    ..Risk factors for missed IVR calls overlap with those for missed appointments. Involvement of informal caregivers may significantly increase engagement. ..

More Information

Publications11

  1. Piette J, List J, Rana G, Townsend W, Striplin D, Heisler M. Mobile Health Devices as Tools for Worldwide Cardiovascular Risk Reduction and Disease Management. Circulation. 2015;132:2012-27 pubmed publisher
    ..Next-generation mHealth programs developed worldwide should be based on evidence-based behavioral theories and incorporate advances in artificial intelligence for adapting systems automatically to patients' unique and changing needs. ..
  2. Piette J, Krein S, Striplin D, Marinec N, Kerns R, Farris K, et al. Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools: Protocol for a Randomized Study Funded by the US Department of Veterans Affairs Health Services Research and Development Program. JMIR Res Protoc. 2016;5:e53 pubmed publisher
    ..This study will evaluate an intervention that increases patients' access to effective CBT pain management services while allowing health systems to maximize program expansion given constrained resources. ..