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Browsing by Subject "Medication Adherence"
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Item Barriers to Insulin Initiation The Translating Research Into Action for Diabetes Insulin Starts Project(2010-04) Karter, Andrew J.; Subramanian, Usha; Saha, Chandan; Crosson, Jesse C.; Parker, Melissa M.; Swain, Bix E.; Moffet, Howard H.; Marrero, David G.OBJECTIVE Reasons for failing to initiate prescribed insulin (primary nonadherence) are poorly understood. We investigated barriers to insulin initiation following a new prescription. RESEARCH DESIGN AND METHODS We surveyed insulin-naïve patients with poorly controlled type 2 diabetes, already treated with two or more oral agents who were recently prescribed insulin. We compared responses for respondents prescribed, but never initiating, insulin (n = 69) with those dispensed insulin (n = 100). RESULTS Subjects failing to initiate prescribed insulin commonly reported misconceptions regarding insulin risk (35% believed that insulin causes blindness, renal failure, amputations, heart attacks, strokes, or early death), plans to instead work harder on behavioral goals, sense of personal failure, low self-efficacy, injection phobia, hypoglycemia concerns, negative impact on social life and job, inadequate health literacy, health care provider inadequately explaining risks/benefits, and limited insulin self-management training. CONCLUSIONS Primary adherence for insulin may be improved through better provider communication regarding risks, shared decision making, and insulin self-management training.Item Comprehensive evaluation of caregiver-reported antiretroviral therapy adherence for HIV-infected children(Springer-Verlag, 2015-04) Vreeman, Rachel C.; Nyandiko, Winstone M.; Liu, Hai; Tu, Wanzhu; Scanlon, Michael L.; Slaven, James E.; Ayaya, Samuel O.; Inui, Thomas S.; Department of Pediatrics, IU School of MedicineFor HIV-infected children, adherence to antiretroviral therapy (ART) is often assessed by caregiver report but there are few data on their validity. We conducted prospective evaluations with 191 children ages 0-14 years and their caregivers over 6 months in western Kenya to identify questionnaire items that best predicted adherence to ART. Medication Event Monitoring Systems(®) (MEMS, MWV/AARDEX Ltd., Switzerland) electronic dose monitors were used as external criterion for adherence. We employed a novel variable selection tool using the LASSO technique with logistic regression to identify items best correlated with dichotomized MEMS adherence (≥90 or <90 % doses taken). Nine of 48 adherence items were identified as the best predictors of adherence, including missed or late doses in the past 7 days, problems giving the child medicines, and caregiver-level factors like not being present at medication taking. These items could be included in adherence assessment tools for pediatric patients.Item Implications for Training on Smartphone Medication Reminder App Use by Adults With Chronic Conditions: Pilot Study Applying the Technology Acceptance Model(JMIR, 2017) Park, Daniel Y.; Goering, Elizabeth M.; Head, Katharine J.; Bartlett Ellis, Rebecca J.; School of NursingBackground: The majority of middle-aged to older patients with chronic conditions report forgetting to take medications as prescribed. The promotion of patients’ smartphone medication reminder app (SMRA) use shows promise as a feasible and cost-effective way to support their medication adherence. Providing training on SMRA use, guided by the technology acceptance model (TAM), could be a promising intervention to promote patients’ app use. Objective: The aim of this pilot study was to (1) assess the feasibility of an SMRA training session designed to increase patients’ intention to use the app through targeting perceived usefulness of app, perceived ease of app use, and positive subjective norm regarding app use and (2) understand the ways to improve the design and implementation of the training session in a hospital setting. Methods: A two-group design was employed. A total of 11 patients older than 40 years (median=58, SD=9.55) and taking 3 or more prescribed medications took part in the study on one of two different dates as participants in either the training group (n=5) or nontraining group (n=6). The training group received an approximately 2-hour intervention training session designed to target TAM variables regarding one popular SMRA, the Medisafe app. The nontraining group received an approximately 2-hour control training session where the participants individually explored Medisafe app features. Each training session was concluded with a one-time survey and a one-time focus group. Results: Mann-Whitney U tests revealed that the level of perceived ease of use (P=.13) and the level of intention to use an SMRA (P=.33) were higher in the training group (median=7.00, median=6.67, respectively) than in the nontraining group (median=6.25, median=5.83). However, the level of perceived usefulness (U=4.50, Z=−1.99, P=.05) and the level of positive subjective norm (P=.25) were lower in the training group (median=6.50, median=4.29) than in the nontraining group (median=6.92, median=4.50). Focus groups revealed the following participants’ perceptions of SMRA use in the real-world setting that the intervention training session would need to emphasize in targeting perceived usefulness and positive subjective norm: (1) the participants would find an SMRA to be useful if they thought the app could help address specific struggles in medication adherence in their lives and (2) the participants think that their family members (or health care providers) might view positively the participants’ SMRA use in primary care settings (or during routine medical checkups). Conclusions: Intervention training session, guided by TAM, appeared feasible in targeting patients’ perceived ease of use and, thereby, increasing intention to use an SMRA. Emphasizing the real-world utility of SMRA, the training session could better target patients’ perceived usefulness and positive subjective norm that are also important in increasing their intention to use the app. [JMIR Formativ Res 2017;1(1):e5]Item An informatics approach to medication adherence assessment and improvement using clinical, billing, and patient-entered data(Oxford University Press, 2014-05) Dixon, Brian E.; Jabour, Abdulrahman M.; O’Kelly Phillips, Erin; Marrero, David G.; BioHealth Informatics, School of Informatics and ComputingThe aim of this study was to describe an integrated informatics approach to aggregating and displaying clinically relevant data that can identify problems with medication adherence and facilitate patient-provider communication about strategies to improve medication use. We developed a clinical dashboard within an electronic health record (EHR) system that uses data from three sources: the medical record, pharmacy claims, and a personal health record. The data are integrated to inform clinician-patient discussions about medication adherence. Whereas prior research on assessing patterns of medication adherence focused on a single approach using the EHR, pharmacy data, or patient-entered data, we present an approach that integrates multiple electronic data sources increasingly found in practice. Medication adherence is a complex challenge that requires patient and provider team input, necessitating an integrated approach using advanced EHR, clinical decision support, and patient-controlled technologies. Future research should focus on integrated strategies to provide patients and providers with the right combination of informatics tools to help them adequately address the challenge of adherence to complex medication therapies.Item Medication-taking Across the Care Continuum and Adherence-related Outcomes (MACO) Framework(2015) Bartlett Ellis, Rebecca J.