Analysis of Use and Outcomes of the Balance Digital Disease Management Tool for Patients with Type 2 Diabetes.

Management of type 2 diabetes mellitus (T2DM) is a serious medical need for millions of patients and clinicians worldwide. Numerous smartphone apps for T2DM management are available. Due to their global accessibility, computing power and cellular connectivity, the pervasiveness of mobile phones now provide an opportunity for non-invasive Digital Therapeutics that have the potential to manage disease by modifying patient behavior as new modality for disease management and intervention. However, this novel approach has yet to be tested in large clinical studies. The BALANCE clinical study was designed to evaluate mobile phone App usage in a large multi-center clinical trial and its impact on T2DM outcomes. It included a digital aid for the management of, blood glucose, diet, physical activity, and medication adherence. Overall, patient use of the BALANCE-App was low (21% of significant patients users), and it diminished over time. BALANCE showed no effect on HbA1c or weight, what is consistent with other smartphone apps for T2DM which were tested on large clinical trials. Nevertheless, post-hoc subgroup analysis showed women using the App significantly achieved a significant reduction in HbA1c and weight.Clinical relevance Suitability of Digital Therapeutics, at least in the form of smartphone apps, for T2DM is under question. The low use indicates need for a strong focus in patient acceptability and patient engagement in the design process.

Characteristics, Symptom Severity, and Experiences of Patients Reporting Chronic Kidney Disease in the PatientsLikeMe Online Health Community: Retrospective and Qualitative Study.

BACKGROUND: Chronic kidney disease (CKD) is a major global health burden, and is associated with increased adverse outcomes, poor quality of life, and substantial health care costs. While there is an increasing need to build patient-centered pathways for improving CKD management in clinical care, data in this field are scarce. OBJECTIVE: The aim of this study was to understand patient-reported experiences, symptoms, outcomes, and treatment journeys among patients with CKD through a retrospective and qualitative approach based on data available through PatientsLikeMe (PLM), an online community where patients can connect and share experiences. METHODS: Adult members (aged ≥18 years) with self-reported CKD within 30 days of enrollment, who were not on dialysis, and registered between 2011 and 2018 in the PLM community were eligible for the retrospective study. Patient demographics and disease characteristics/symptoms were collected from this retrospective data set. Qualitative data were collected prospectively through semistructured phone interviews in a subset of patients, and questions were oriented to better understand patients' experiences with CKD and its management. RESULTS: The retrospective data set included 1848 eligible patients with CKD, and median age was 56 years. The majority of patients were female (1217/1841, 66.11%) and most were US residents (1450/1661, 87.30%). Of the patients who reported comorbidities (n=1374), the most common were type 2 diabetes (783/1374, 56.99%), hypertension (664/1374, 48.33%), hypercholesterolemia (439/1374, 31.95%), and diabetic neuropathy (376/1374, 27.37%). The most commonly reported severe or moderate symptoms in patients reporting these symptoms were fatigue (347/484, 71.7%) and pain (278/476, 58.4%). In the qualitative study, 18 eligible patients (13 females) with a median age of 60 years and who were mainly US residents were interviewed. Three key concepts were identified by patients to be important to optimal care and management: listening to patient needs, coordinating health care across providers, and managing clinical care. CONCLUSIONS: This study provides a unique source of real-world information on the patient experience of CKD and its management by utilizing the PLM network. The results reveal the challenges these patients face living with an array of symptoms, and report key concepts identified by patients that can be used to further improve clinical care and management and inform future CKD studies.

Characteristics and Symptom Severity of Patients Reporting Systemic Lupus Erythematosus in the PatientsLikeMe Online Health Community: A Retrospective Observational Study.

INTRODUCTION: Online health communities and research networks such as PatientsLikeMe (PLM) capture patient perspectives of diseases, including systemic lupus erythematosus (SLE). We performed a retrospective observational study of data provided by patients in the PLM SLE community to characterize demographics, clinical characteristics, patient experience, and symptom impact. METHODS: Adults who registered with PLM in 2011-2017 and reported SLE diagnosis and treatment with one or more SLE-related drug (antimalarials, immunosuppressives, corticosteroids, calcineurin inhibitors, or biologics) were included in the analysis. Information reported within 30 days from PLM registration was used to assess patient eligibility; demographics and clinical characteristics; and primary outcome measures of SLE treatments, symptoms, primary lupus manifestations, and comorbidities. RESULTS: Among 21,101 PLM members included in this analysis, median ages at registration, onset of SLE symptoms, and SLE diagnosis were 46 years (interquartile range [IQR] 38-53, n = 21,101), 30 years (IQR 21-39; n = 6489), and 36 years (IQR 27-44; n = 6936), respectively. Most patients were female (96.8%, n = 20,370). Country of residence was reported by 19,502 patients (92.4%), of whom 18,491 (94.8%) were US residents. Race was recorded by 17,994 patients (85.3%), of whom 67.8% were white and 22.4% were black/African American. Patients reported a mean of 2.2 SLE-related medications, including antimalarials (83.8%), corticosteroids (78.8%), immunosuppressives (32.3%), and biologics (9.4%). Fatigue, pain, and joint pain were rated as moderate or severe by at least 80% of patients who reported these symptoms. Reported primary lupus manifestations and comorbidities included fibromyalgia (7.9%), discoid lupus (6.8%), lupus nephritis (6.3%), rheumatoid arthritis (4.8%), subacute cutaneous lupus (4.7%), central nervous system lupus (3.9%), Sjögren's syndrome (3.9%), and lupus pneumonitis (3.1%). CONCLUSIONS: Age, sex, and race of patients in the PLM SLE community are broadly consistent with characteristics of the general SLE population in the United States. The PLM SLE population may provide valuable data on self-reported patient experience. Plain language summary available for this article.

Effect of weight reduction on glycated haemoglobin in weight loss trials in patients with type 2 diabetes.

AIM: To quantify the effect of weight loss on glycated haemoglobin (HbA1c) at group level, based on data from published weight loss trials in overweight and obese patients with type 2 diabetes (T2D). METHODS: A systematic literature search in MEDLINE, EMBASE and Cochrane CENTRAL (January 1990 through December 2012) was conducted to identify prospective trials of energy-reduced diets, obesity drugs or bariatric surgery in adult, overweight and obese patients with T2D. Based on clinical data with follow-up from 3 to 24 months, a linear model was developed to describe the effect of weight reduction on HbA1c. RESULTS: The literature search identified 58 eligible articles consisting of 124 treatment groups and 17 204 subjects, yielding a total of 250 data points with concurrent mean changes from baseline in weight and HbA1c. The model-based analyses indicated a linear relationship between weight loss and HbA1c reduction, with an estimated mean HbA1c reduction of 0.1 percentage points for each 1 kg of reduced body weight for the overall population. Baseline HbA1c was a significant covariate for the relationship between weight loss and HbA1c: high HbA1c at baseline was associated with a greater reduction in HbA1c for the same degree of weight loss. The collected trial data also indicated weight-loss-dependent reductions in antidiabetic medication. CONCLUSIONS: At group level, weight loss in obese and overweight patients with T2D was consistently accompanied by HbA1c reduction in a dose-dependent manner. The model developed in the present study estimates that for each kg of mean weight loss, there is a mean HbA1c reduction of 0.1 percentage points. HbA1c-lowering is greater in populations with poor glycaemic control than in well controlled populations with the same degree of weight loss. This summary of data from previous trials regarding the effect of weight reduction on HbA1c may be used to support the design and interpretation of future studies that aim to demonstrate the efficacy of weight loss interventions for T2D treatment.