Sophisticated information technology platforms for remote patient reporting linked with theory-based health behavior change automated feedback have potential to improve patient outcomes in type 2 diabetes and merit scaled-up research efforts.

BackgroundHeart failure (HF) patients suffer from frequent and repeated hospitalizations, causing a substantial economic burden on society. Hospitalizations can be reduced considerably by better compliance with self-care. Home telemonitoring has the potential to boost patients’ compliance with self-care, although the results are still contradictory.ObjectiveA randomized controlled trial was conducted in order to study whether the multidisciplinary care of heart failure patients promoted with telemonitoring leads to decreased HF-related hospitalization.MethodsHF patients were eligible whose left ventricular ejection fraction was lower than 35%, NYHA functional class ≥2, and who needed regular follow-up. Patients in the telemonitoring group (n=47) measured their body weight, blood pressure, and pulse and answered symptom-related questions on a weekly basis, reporting their values to the heart failure nurse using a mobile phone app. The heart failure nurse followed the status of patients weekly and if necessary contacted the patient. The primary outcome was the number of HF-related hospital days. Control patients (n=47) received multidisciplinary treatment according to standard practices. Patients’ clinical status, use of health care resources, adherence, and user experience from the patients’ and the health care professionals’ perspective were studied.ResultsAdherence, calculated as a proportion of weekly submitted self-measurements, was close to 90%. No difference was found in the number of HF-related hospital days (incidence rate ratio [IRR]=0.812, P=.351), which was the primary outcome. The intervention group used more health care resources: they paid an increased number of visits to the nurse (IRR=1.73, P<.001), spent more time at the nurse reception (mean difference of 48.7 minutes, P<.001), and there was a greater number of telephone contacts between the nurse and intervention patients (IRR=3.82, P<.001 for nurse-induced contacts and IRR=1.63, P=.049 for patient-induced contacts). There were no statistically significant differences in patients’ clinical health status or in their self-care behavior. The technology received excellent feedback from the patient and professional side with a high adherence rate throughout the study.ConclusionsHome telemonitoring did not reduce the number of patients’ HF-related hospital days and did not improve the patients’ clinical condition. Patients in the telemonitoring group contacted the Cardiology Outpatient Clinic more frequently, and on this way increased the use of health care resources.Trial RegistrationClinicaltrials.gov NCT01759368; http://clinicaltrials.gov/show/NCT01759368 (Archived by WebCite at http://www.webcitation.org/6UFxiCk8Z).

Personal Health Records (PHR's) and related services are emerging rapidly. Currently, most PHR's are isolated and do not communicate with other systems. Standards for interoperability exist, but they are oriented towards clinical applications. However, a substantial part of a typical PHR consists of non-clinical information such as a health diary. The present paper highlights the requirements related to exchanging non-clinical PHR information between services and shows how this information exchange can be accomplished. The approach utilizes a SOAP message for carrying the actual PHR content in a structure referred as Health Diary Entry (HDE) document. The HDE document provides mechanisms to bind the contents to external vocabularies and ontologies to achieve semantic interoperability. The approach was successfully tested in the context of an occupational health pilot, in which data contents from several health and wellness applications were merged into a common database.

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This paper describes a new approach for collecting and sharing personal health and wellness information. The approach is based on a Personal Health Record (PHR) including both clinical and non-clinical data. The PHR is located on a network server referred as Common Server. The overall service architecture for providing anonymous and private access to the PHR is described. Semantic interoperability is based on an ontology collection and usage of OID (Object Identifier) codes. The formal (upper) ontology combines a set of domain ontologies representing different aspects of personal health and wellness. The ontology collection emphasizes wellness aspects while clinical data is modelled by using OID references to existing vocabularies. Modular ontology approach enables distributed management and expansion of the data model.