Improving Medication Adherence with a Targeted, Technology-Driven Disease Management Intervention

2008 ◽  
Vol 11 (3) ◽  
pp. 141-144 ◽  
Author(s):  
David B. Lawrence ◽  
Wanda Allison ◽  
Joyce C. Chen ◽  
Michael Demand
2021 ◽  
Vol 50 (Supplement_1) ◽  
pp. i12-i42
Author(s):  
C Yang ◽  
Z Hui ◽  
S Zhu ◽  
X Wang ◽  
G Tang ◽  
...  

Abstract Introduction Medication self-management support has been recognised as an essential element in primary health care to promote medication adherence and health outcomes for older people with chronic conditions. A patient-centred intervention empowering patients and supporting medication self-management activities could benefit older people. This pilot study tested a newly developed medication self-management intervention for improving medication adherence among older people with multimorbidity. Method This was a two-arm randomised controlled trial. Older people with multimorbidity were recruited from a community healthcare centre in Changsha, China. Participants were randomly allocated to either a control group receiving usual care (n = 14), or to an intervention group receiving three face-to-face medication self-management sessions and two follow-up phone calls over six weeks, targeting behavioural determinants of adherence from the Information-Motivation-Behavioural skills model (n = 14). Feasibility was assessed through recruitment and retention rates, outcome measures collection, and intervention implementation. Follow-up data were measured at six weeks after baseline using patient-reported outcomes including medication adherence, medication self-management capabilities, treatment experiences, and quality of life. Preliminary effectiveness of the intervention was explored using generalised estimating equations. Results Of the 72 approached participants, 28 (38.89%) were eligible for study participation. In the intervention group, 13 participants (92.86%) completed follow-up and 10 (71.42%) completed all intervention sessions. Ten participants (71.42%) in the control group completed follow-up. The intervention was found to be acceptable by participants and the intervention nurse. Comparing with the control group, participants in the intervention group showed significant improvements in medication adherence (β = 0.26, 95%CI 0.12, 0.40, P < 0.001), medication knowledge (β = 4.43, 95%CI 1.11, 7.75, P = 0.009), and perceived necessity of medications (β = −2.84, 95%CI -5.67, −0.01, P = 0.049) at follow-up. Conclusions The nurse-led medication self-management intervention is feasible and acceptable among older people with multimorbidity. Preliminary results showed that the intervention may improve patients’ medication knowledge and beliefs and thus lead to improved adherence.


2021 ◽  
Author(s):  
Geneva Kay Jonathan ◽  
Cynthia A Dopke ◽  
Tania Michaels ◽  
Clair R Martin ◽  
Chloe Ryan ◽  
...  

BACKGROUND Bipolar disorder is a severe mental illness characterized by recurrent episodes of depressed, elevated and mixed mood states. Pharmacological management combined with adjunctive psychotherapy can decrease symptoms, lower relapse rates and improve quality of life; however, access to psychotherapy is limited. Mental health technologies such as smartphone applications are being studied as a means to increase access to and enhance the effectiveness of adjunctive psychotherapies for bipolar disorder. These studies have demonstrated that individuals with bipolar disorder find this intervention format acceptable, but our understanding of how people utilize and integrate these tools into their behavior change and maintenance processes remains limited. OBJECTIVE The objective of this study was to explore how individuals with bipolar disorder perceive and utilize a smartphone intervention for health behavior change and maintenance. METHODS Individuals with bipolar disorder participated in a pilot study of LiveWell, a smartphone-based self-management intervention. At the end of the study, all participants completed in-depth qualitative exit interviews. The behavior change framework developed to organize the intervention design was used to deductively code behavioral targets and determinants involved in target engagement and inductive coding was used to identify themes not captured by this framework. RESULTS In terms of behavioral targets, participants emphasized the importance of managing mood episode related signs and symptoms. They also discussed the importance of maintaining regular routines, sleep duration, and medication adherence. In addition, participants emphasized that receiving support from a coach as well as seeking and receiving assistance from family, friends and providers was important for managing behavioral targets and staying well. In terms of determinants, participants stressed the important role of monitoring for their behavior change and maintenance efforts. Participants indicated that monitoring facilitated self-awareness and reflection which they felt was valuable for staying well. Some participants also felt that the intervention facilitated learning information necessary for managing bipolar disorder but others felt that the information provided was too basic. CONCLUSIONS In addition to addressing acceptability, satisfaction, and engagement, person-based design of mental health technologies can be used to understand how people experience the impact of these technologies on their behavior change and maintenance efforts. This understanding may then be used to guide ongoing intervention development. In this study, participants discussed their perceptions that managing signs and symptoms and maintaining regular routines, sleep duration, and medication adherence were important for staying well and that monitoring played an important role in these efforts. These perceptions aligned with the intervention's primary behavioral targets and use of a monitoring tool as a core intervention feature. However, participants also highlighted how the intervention encouraged involving family and friends in their change efforts. While content addressing building and engaging supports was included in the intervention, this was not a primary intervention target. Participant feedback thus indicates that developing additional content and tools to address building and engaging social support may be an important avenue for improving LiveWell. Our findings suggest that using a comprehensive behavior change framework to understand participant perceptions of their behavior change and maintenance efforts may help facilitate ongoing intervention development. CLINICALTRIAL NCT02405117


2010 ◽  
Vol 69 (1) ◽  
pp. 50-60 ◽  
Author(s):  
Sheldon Tobe ◽  
Lloyd Vincent ◽  
Joan Wentworth ◽  
Denise Hildebrandt ◽  
Alexander Kiss ◽  
...  

2011 ◽  
Vol 17 (2) ◽  
pp. 322-325 ◽  
Author(s):  
Sagar V. Parikh ◽  
Raymond W. Lam ◽  
Melina M. Ovanessian ◽  
Marie-Josée Filteau ◽  
Mike Hill

2007 ◽  
Vol 15 (3) ◽  
pp. 203-219 ◽  
Author(s):  
Jessica Risser ◽  
Terry A. Jacobson ◽  
Sunil Kripalani

Medication nonadherence remains a significant obstacle to achieving improved health outcomes in patients with chronic disease. Self-efficacy, the confidence in one’s ability to perform a given task such as taking one’s medications, is an important determinant of medication adherence, indicating the need for reliable and valid tools for measuring this construct. This study sought to develop a self-efficacy scale for medication adherence in chronic disease management that can be used in patients with a broad range of literacy skills. The Self-efficacy for Appropriate Medication Use (SEAMS) was developed by a multidisciplinary team with expertise in medication adherence and health literacy. Its psychometric properties were evaluated among 436 patients with coronary heart disease and other comorbid conditions. Reliability was evaluated by measuring internal consistency and test-retest reliability. Principal component factor analysis was performed to evaluate the validity of the SEAMS. Reliability and validity analyses were also performed separately among patients with low and higher literacy levels. The final 13-item scale had good internal consistency reliability (Cronbach’s α = 0.89). A two-factor solution was found, explaining 52.3% of the scale’s variance. The scale performed similarly across literacy levels. The SEAMS is a reliable and valid instrument that may provide a valuable assessment of medication self-efficacy in chronic disease management, and appears appropriate for use in patients with low literacy skills.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 238-238
Author(s):  
Renae Smith-Ray ◽  
Tanya Singh ◽  
Evie Makris ◽  
Jaime Horan ◽  
Michael Taitel

Abstract The COVID-19 pandemic and Black Lives Matter movement brought increased recognition to the need for health equity. Diabetes, the 7th leading cause of death, is one of many conditions where health inequities are evident. A higher percentage of Black (11.7%) and Hispanic (12.5%) U.S. adults are diagnosed with diabetes compared to non-Hispanic Whites (7.5%). To address this health inequity, a nationwide pharmacy chain implemented telephonic ‘Advanced Care’ (AC) outreach for patients with diabetes. During the AC call, pharmacists used motivational interviewing techniques to counsel patients on the importance of closing gaps in care and reducing barriers to medication adherence. Gaps included timely A1C testing, exams (eye, foot, kidney), immunizations (influenza, pneumonia, Hepatitis B), and recommendation of additional therapies for patients with multiple chronic conditions (ACE/ARB, statins). Medication fill gaps were compared between the Intervention period (8/1/20-1/31/-21) and a pre-intervention period (2/1/20-7/31/20). The AC pilot occurred in 8 Chicago Walgreens locations that primarily serve Black and Hispanic patients. Eight control stores were matched on census block-level household income and race/ethnicity, patient volume, and insurance mix. A pre/post-test vs. control difference-in-difference (DID) analysis was conducted to compare on-time refill rates. Of the 1,009 older patients (age≥50) called, 59.9% were reached. The DID analysis showed that patients in pilot stores had improved pre-post on-time refill rates compared to controls (p<0.0001). Diabetes self-management is key to reducing diabetes-related complications. Early findings from this pilot demonstrate that the Walgreens AC intervention improves medication adherence - an important step toward improving health equity.


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