go site Krumme AA, Isaman DL, Stolpe SF, Dougherty JS, Choudhry NK. Am J Manag Care. 2016;22(3):179-186.
http://cinziamazzamakeup.com/?x=acquistare-vardenafil-Abruzzo Interviews were conducted with leaders from non-profit advocacy organizations and synchronization programs to evaluate the prevalence and structure of synchronization programs and evidence of their impact on adherence and clinical outcomes. Results reflected that synchronization programs exist in only 10% of independent, 6% of stand-alone chain, and 11% of retail store pharmacies. While the literature shows that synchronization programs improves adherence, more evidence is needed to evaluate its impact on patient-centered outcomes.
generic drug name for lasix Bosworth HB, Fortmann SP, Kuntz J, Zullig LL, Mendys P, Safford M, Phansalkar S, Wang T, Rumptz MH. Journal of General Internal Medicine, 2016. doi:10.1007/s11606-016-3851-7.
go to link Patient-centered care has been increasingly emphasized as a promising approach for improving medication adherence, but clinician education around what this concept may look like in a busy primary care setting is lacking. This paper uses a case study to demonstrate key skills for clinicians interested in providing patient-centered care.
http://cinziamazzamakeup.com/?x=levitra-originale-20-mg-economico Bosworth HB, Zullig LL, Mendys P, Ho M, Trygstad T, Granger C, Oakes MM, Granger BB (2016). “Health Information Technology: Meaningful Use and Next Steps to Improving Electronic Facilitation of Medication Adherence.” JMIR Med Infor 4(1): e9.
cambodia canadian pharmacy levitra plus This paper describes four potential health information technology (HIT) barriers that may impact interoperability and subsequent medication adherence: 1) underdevelopment of data reciprocity across clinical, community, and home settings, limited the capture of data necessary for clinical care 2) inconsistent data definitions and lack of harmonization of patient-focused data standards, making existing data difficult to use for patient-centered outcome research 3) inability to effectively use the national drug code information from various electronic health record and claims datasets for adherence purposes and 4) lack of data capture for medication management interventions, such as MTM in the EHR.
here Zullig, L and Bosworth, HB. Journal of Multidisciplinary Healthcare. 2015, 8: 199-203.
go to link Numerous effective programs have been developed to address specific health problems, but most have been confined to the research setting. This article describes important factors to consider when attempting to scale-up and implement programs in large healthcare settings.