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Background: Transplant recipients are chronically ill patients, who require lifelong follow-up to manage co-morbidities and prevent graft loss. This necessitates a system of care that is congruent with the Chronic Care Model. The eleven-item self-report Patient Assessment of Chronic Illness Care (PACIC) scale assesses whether chronic care is congruent with the Chronic Care Model, yet its validity for heart transplant patients has not been tested., Methods: We tested the validity of the English version of the PACIC, and compared the similarity of the internal structure of the PACIC across English-speaking countries (USA, Canada, Australia and United Kingdom) and across six languages (French, German, Dutch, Spanish, Italian and Portuguese). This was done using data from the cross-sectional international BRIGHT study that included 1378 heart transplant patients from eleven countries across 4 continents. To test the validity of the instrument, confirmatory factor analyses to check the expected unidimensional internal structure, and relations to other variables, were performed., Results: Main analyses confirmed the validity of the English PACIC version for heart transplant patients. Exploratory analyses across English-speaking countries and languages also confirmed the single factorial dimension, except in Italian and Spanish., Conclusion: This scale could help healthcare providers monitor level of chronic illness management and improve transplantation care., Trial Registration: Clinicaltrials.gov ID: NCT01608477, first patient enrolled in March 2012, registered retrospectively: May 30, 2012.

Context: Although medication nonadherence is associated with severe complications including graft rejection and loss, its prevalence remains high among organ transplant recipients. Still, little information exists on clinical use of interventions to improve medication adherence. OBJECTIVE-To identify transplant health care professionals' methods of assessing medication adherence, classify the used interventions, and measure those interventions' perceived effectiveness., Design, Setting and Participants: A 46-item questionnaire on adherence assessment and interventions was distributed at the 2010 International Transplant Nurses Society symposium in Germany. Data were analyzed by using descriptive statistics., Results: Of 141 distributed questionnaires, 94 (67%) were returned. Respondents with no direct patient contact (9%, n = 8) were excluded. The most frequently used assessment strategy was patient self-reporting (60%, n = 52). On average, participants reported using 47% of the educational/cognitive, 44% of the counseling/behavioral, and 42% of the psychological/affective interventions listed. Training patients to self-administer medications and providing printed adherence information were the most frequently used interventions (79% each, n = 68), followed by providing printed medication instructions (69%, n = 59). Most respondents (90%, n = 77) reported combining interventions. The intervention perceived as most effective was medication self-administration training., Conclusion: Although available alternatives are demonstrably more effective for enhancing medication adherence, this sample relied more on educational interventions.

Background: System factors increasingly are suggested as important yet understudied correlates of nonadherence., Objective: To explore the relationship between healthcare system and prevalence of nonadherence with immunosuppressive regimen by studying variation in nonadherence between European and US kidney transplant recipients and as well as nonadherence in European countries., Methods: We performed a secondary data analysis on data collected in 3 independent cross-sectional studies using comparable methodology including patients from the United States, the Netherlands, Belgium, and Switzerland. Nonadherence was measured using 1 item of the Siegal questionnaire. Patients were categorized as nonadherent if they reported missing a dose of immunosuppression in the last 4 weeks. Analyses were performed by multiple mixed logistic regression, with center as a random effect and clinical and demographical differences between groups as fixed effects., Results: 1563 U.S. and 614 European patients from 3 different countries (Belgium [n=187], the Netherlands [n=85], and Switzerland [n=342]) were included. Prevalence of nonadherence in the United States and Europe was 19.3% and 13.2.%, respectively. This higher nonadherence in US patients was confirmed in a multiple logistic regression analysis (OR = 1.78; 95% CI, 1.10-2.89). Nonadherence differed between Belgium (16%) and the Netherlands (14.1%) (OR = 0.27; 95% CI, 0.09-0.80) and between Belgium and Switzerland (11.4%; OR = 0.17; 95% CI, 0.0-0.42)., Conclusion: This is the first study showing differences in prevalence of nonadherence between European and US patients and among European patients. Further research should aim at unraveling the dynamics explaining these differences.

This paper described the formal collaboration between the American Heart Association's Council on Cardiovascular Nursing and the European Society of Cardiology's Working Group on Cardiovascular Nursing. This collaboration comprises following dimensions: (1). further expansion on collaboration on annual conferences; (2). development of mentoring initiatives; (3). initiation of research collaboration; (4). development of joint guidelines; and (5). appointment of liaison persons of AHA to ESC and vice versa.

Self-efficacy is an important determinant of health behavior that can be targeted for intervention. Little effort has been given to the development of valid measures for self-efficacy with medication taking for adherence research. The purpose of this study was to determine the criterion validity of the Long-Term Medication Behavior Self-Efficacy Scale (LTMBSES). Individual patient data from 6 existing adherence studies in transplant, hyperlipidemia, and AIDS/HIV patients (n = 1021) were pooled. Validity was determined by assessing the relation between the LTMBSES score and medication adherence--both self-reported and electronically monitored. A weak relationship was found between the LTMBSES score and adherence, which can possibly be attributed to a ceiling effect, caused by a too homogeneous population and/or a failure of the scale to challenge patients. Generalized Estimating Equations revealed that the total average self-efficacy score predicted reported medication adherence (p < .0001). The Receiver Operating Characteristic curve revealed the area under the curve was 0.67, indicating a significant (p < .0001), but poor predictive capability. Evidence for criterion validity of the Long-Term Medication Behavior Self-Efficacy Scale is not yet convincing. Future research should focus on: (1) validation in a population with a more heterogenous level of adherence, and (2) making the scale more challenging by referring to "always taking the medication without exception."