Background: A range of factors can reduce the effectiveness of treatment prescribed for the long-term management of chronic health conditions, such as growth disorders. In particular, prescription medications may not achieve the positive outcomes expected because approximately half of patients adhere poorly to the prescribed treatment regimen. Methods: Adherence to treatment has previously been assessed using relatively unreliable subjective methods, such as patient self-reporting during clinical follow-up, or counting prescriptions filled or vials returned by patients. Here, we report on a new approach, the use of electronically recorded objective evidence of date, time, and dose taken which was obtained through a comprehensive eHealth ecosystem, based around the easypod (TM) electromechanical auto-injection device and web-based connect software. The benefits of this eHealth approach are also illustrated here by two case studies, selected from the Finnish cohort of the easypod (TM) Connect Observational Study (ECOS), a 5-year, open-label, observational study that enrolled children from 24 countries who were being treated with growth hormone (GH) via the auto-injection device. Results: Analyses of data from 9314 records from the easypod (TM) connect database showed that, at each time point studied, a significantly greater proportion of female patients had high adherence (>= 85%) than male patients (2849/3867 [74%] vs 3879/5447 [71%]; P < 0.001). Furthermore, more of the younger patients (< 10 years for girls, < 12 years for boys) were in the high adherence range (P < 0.001). However, recursive partitioning of data from ECOS identified subgroups with lower adherence to GH treatment - children who performed the majority of injections themselves at an early age (similar to 8 years) and teenagers starting treatment aged >= 14 years. Conclusions: The data and case studies presented herein illustrate the importance of adherence to GH therapy and how good growth outcomes can be achieved by following treatment as described. They also show how the device, software, and database ecosystem can complement normal clinical follow-up by providing HCPs with reliable information about patient adherence between visits and also providing researchers with real-world evidence of adherence and growth outcomes across a large population of patients with growth disorders treated with GH via the easypod (TM) device.

Background The problem of nonadherence to therapy is a key reason of insufficient asthma control. Evaluating the beliefs about asthma medication, cognitive and emotional perceptions may help to identify patients with poor adherence to treatment in clinical practice which need additional attention in order to increase the likelihood of them taking their asthma medication according to the prescribed treatment protocol. The purpose of this study is to assess whether beliefs about asthma medication, cognitive and emotional factors are related to poor treatment adherence of asthma medication in a sample of asthma patients in Latvia. Methods Study subjects were asthma patients attending outpatient pulmonologist consultations in Latvia during September 2013 to December 2015. Beliefs about asthma medicine, cognitive and emotional factors related to asthma were determined in a cross-sectional, self-administered survey. The validated Beliefs about Medicines Questionnaire (BMQ) and the Brief Illness Perception Questionnaire (brief IPQ) were used. Treatment adherence was assessed using 5-item version of the Medication Adherence Reporting Scale (MARS). The total sample size was 352 patients. Logistic regression models were used to predict poor adherence to asthma treatment. The validity of each logistic regression model was assessed by the Hosmer/Lemeshow test. The main outcome measure was self-reported adherence to treatment. Results The more the patients agreed with the statement "My future health depends on my asthma medication" the lower the possibility of poor adherence to asthma treatment (OR 0.42; 95% CI 0.24-0.74). The more concerned the patients were in regard to long-term effects of their medication (OR 2; 95% CI 1.22-3.27), the higher the probability of poor treatment adherence. Conclusions Screening asthma patients using the BMQ may help to identify those to benefit from interventions targeting their concerns and medication beliefs in order to improve adherence to asthma medication.

Based on self-determination theory (SDT), this study investigated whether the three central SDT variablesperceived autonomy support (from a physician), autonomous motivation and self-care competencewere associated with success in weight management (SWM) among primary care patients with type 2 diabetes when the effect of other important life-context factors was controlled for. Patients participated in a mail survey in 2011. Those who had tried to change their health behavior during the past two years in order to lose weight, either with or without success (n = 1433, mean age 63years, 50% men), were included in this study. The successors were more autonomously motivated and energetic than the non-successors. Moreover, male gender, younger age, taking oral medication only, and receiving less social support in diabetes care predicted better success. Autonomous motivation predicted SWM; self-care competence also played a role by partly mediating the effect of autonomous motivation on SWM. These results support the idea of SDT that internalizing the value of weight management and its health benefits is necessary for long-term maintenance of health behavior change. Perceived autonomy support was not directly associated with SWM. However, physicians can promote patients' weight management by supporting their autonomous motivation and self-care competence.