scholarly journals Self‐reported and pharmacy claims‐based medication adherence in low‐income older Medicare beneficiaries with type 2 diabetes (806.1)

2014 ◽  
Vol 28 (S1) ◽  
Author(s):  
Elisabeth Sattler ◽  
Jung Sun Lee
2015 ◽  
Vol 23 (1) ◽  
pp. 12-18 ◽  
Author(s):  
Lyndsay A Nelson ◽  
Shelagh A Mulvaney ◽  
Tebeb Gebretsadik ◽  
Yun-Xian Ho ◽  
Kevin B Johnson ◽  
...  

Abstract Objective Mobile health (mHealth) interventions may improve diabetes outcomes, but require engagement. Little is known about what factors impede engagement, so the authors examined the relationship between patient factors and engagement in an mHealth medication adherence promotion intervention for low-income adults with type 2 diabetes (T2DM). Materials and Methods Eighty patients with T2DM participated in a 3-month mHealth intervention called MEssaging for Diabetes that leveraged a mobile communications platform. Participants received daily text messages addressing and assessing medication adherence, and weekly interactive automated calls with adherence feedback and questions for problem solving. Longitudinal repeated measures analyses assessed the relationship between participants’ baseline characteristics and the probability of engaging with texts and calls. Results On average, participants responded to 84.0% of texts and participated in 57.1% of calls. Compared to Whites, non-Whites had a 63% decreased relative odds (adjusted odds ratio [AOR] = 0.37, 95% confidence interval [CI], 0.19-0.73) of participating in calls. In addition, lower health literacy was associated with a decreased odds of participating in calls (AOR = 0.67, 95% CI, 0.46-0.99, P = .04), whereas older age ( Pnonlinear = .01) and more depressive symptoms (AOR = 0.62, 95% CI, 0.38-1.02, P = .059) trended toward a decreased odds of responding to texts. Conclusions Racial/ethnic minorities, older adults, and persons with lower health literacy or more depressive symptoms appeared to be the least engaged in a mHealth intervention. To facilitate equitable intervention impact, future research should identify and address factors interfering with mHealth engagement.


Healthcare ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 976
Author(s):  
Angshuman Gooptu ◽  
Michael Taitel ◽  
Neda Laiteerapong ◽  
Valerie G. Press

Importance: Medication non-adherence is highly costly and leads to worse disease control and outcomes. However, knowledge about medication adherence is often disconnected from prescribing decisions, and this disconnect may lead to inappropriate increases in medications and higher risks of adverse events. Objectives: To evaluate the association between medication non-adherence and the likelihood of increases in the intensity of medication regimens for two chronic conditions, hypertension and type 2 diabetes. Design: Cohort Study. Setting and Participants: This study used US national pharmacy claims data for Medicare Part D (ages ≥ 65) and commercial (ages 50–64) plans to evaluate medication adherence and its association with the likelihood of receiving an increase in medication intensity for patients with hypertension and/or oral diabetes medication fills. Patients had an index fill for hypertension (N = 2,536,638) and/or oral diabetes (N = 701,376) medications in January 2015. Medication fills in the follow-up period from August 2015 to December 2016 were assessed for increases in medication regimen intensity. Main Outcome(s) and Measure(s): The proportion of days covered (PDC) over 181 days was used as a measure for patient’s medication adherence before a medication addition, medication increase, or dosage increase. Differences in the likelihood of experiencing an escalation in medication intensity was considered between patients with a PDC < 80% vs. PDC ≥ 80%. Results: Among Medicare Part D and commercial plan patients filling hypertension and/or oral diabetes medications, non-adherent patients were significantly more likely to experience an intensification of their medication regimens (p < 0.001). Conclusions and Relevance: This study found a significant association between non-adherence to medications and a higher likelihood of patients experiencing potentially inappropriate increases in treatment intensity. Sharing of objective patient refill data between retail pharmacies and prescribers can enable prescribers to have more targeted discussions with patients about their adherence and overall treatment plan. Additionally, it can increase safe medication prescribing and plausibly reduce adverse drug events and healthcare costs while improving patient health outcomes.


2016 ◽  
Vol 39 (6) ◽  
pp. 995-1000 ◽  
Author(s):  
Lyndsay A. Nelson ◽  
Shelagh A. Mulvaney ◽  
Tebeb Gebretsadik ◽  
Kevin B. Johnson ◽  
Chandra Y. Osborn

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 4-OR
Author(s):  
JING LUO ◽  
NAZLEEN F. KHAN ◽  
THOMAS MANETTI ◽  
JAMES J. ROSE ◽  
ANI KALOGHLIAN ◽  
...  

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 815-P
Author(s):  
MEGUMI SHIOMI ◽  
YOICHI TANAKA ◽  
MOMOKA KUROBUCHI ◽  
TESSHU TAKADA ◽  
KATSUYA OTORI

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