UNASSIGNED: Poor long-term recovery outcomes after treatment (e.g., readmission to inpatient treatment) are common among individuals with substance use disorders (SUDs). In-person mindfulness-based treatments (MBTs) are efficacious for SUDs and may improve recovery outcomes. However, existing MBTs for SUD have limited public health reach, and thus scalable delivery methods are needed. A digitally-delivered MBT for SUDs may hold promise.
UNASSIGNED: We recently developed Mindful Journey, a smartphone app-based adjunctive MBT for improving long-term recovery outcomes. In this paper, we present details on the app and describe the protocol for a single-site pilot feasibility randomized controlled trial of Mindful Journey. In this trial, individuals (n = 34) in an early phase of outpatient treatment for SUDs will be randomized to either treatment-as-usual (TAU) plus Mindful Journey, or TAU only. The trial will focus on testing the feasibility (e.g., engagement) and acceptability of the app (e.g., perceived usability and helpfulness for recovery), as well as feasibility of study procedures (e.g., assessment completion). The trial will incorporate ecological momentary assessment before and after treatment to assess mechanisms in real-time, including mindfulness, craving, difficulties with negative emotion regulation, and savoring. To examine the sensitivity to change of outcomes (substance use, substance-related problems, and psychological distress) and mechanism variables (noted above), we will test within-treatment-condition changes over time.
UNASSIGNED: The proposed pilot trial will provide important preliminary data on whether Mindful Journey is feasible and acceptable among individuals with SUDs.
UNASSIGNED: ClinicalTrials.gov NCT05109507.

BACKGROUND: Almost all postoperative assessments for pituitary patients are performed in clinical settings under the supervision of medical providers. With the emergence of telemedicine, however, there are opportunities to monitor these patients remotely. The potential for use of such technologies is inconsistently described in the brain tumor literature, especially for patients with pituitary adenomas.
METHODS: In this comprehensive narrative review, we present the literature for the use of mobile applications (apps) for monitoring of postoperative symptomatology that is specific to patients undergoing pituitary surgery. Our primary research question was: \"Which smartphone apps exist in the literature to monitor parameters associated with common complications of pituitary surgery?\" Specifically, we search for apps in the literature which facilitate the measurement of parameters associated with adrenal insufficiency, disorders of water imbalance, and visual changes, three common complications of pituitary surgery.
RESULTS: 26 apps were identified. Fourteen apps pertained to monitoring of visual changes, followed by nine apps for monitoring water and electrolyte imbalances and three apps for monitoring adrenal dysfunction. Novel technologies which were integrated into these apps included digital image-based colorimetry, sonouroflowmetry, visual contrast sensitivity, and lateral flow immunoassays, among others.
CONCLUSIONS: Due to advancing capabilities of smartphone apps, the potential of telemedicine may extend beyond patient appointments. We show that by integrating novel advances in medical technologies from a variety of specialties, it is possible to develop smartphone-based protocols for remote monitoring of patients after pituitary surgery.

UNASSIGNED: Osteoarthritis causes chronic pain, impaired joint function, decreased mobility and negatively impacts quality of life (QOL). Anti-nerve growth factor antibodies bedinvetmab for dogs and frunevetmab for cats are licensed for the alleviation of osteoarthritis pain but their QOL impact is unreported. Our aim was to determine if these therapeutics improve QOL using a validated health-related QOL measure that generates scores in four domains of QOL-energetic and enthusiastic (E/E), happy and content (H/C), active and comfortable (A/C) and calm and relaxed (C/R)-in the dog and three in the cat-vitality, comfort and emotional wellbeing (EWB). Summary scores for physical wellbeing (PWB) and emotional wellbeing (EWB) for dogs and PWB for cats are calculated from the domain scores.
UNASSIGNED: Animals received bedinvetmab (dogs) at 0.5-1 mg/kg or frunevetmab (cats) at 1-2.8 mg/kg by subcutaneous injection on days 0, 28 and 56 and owners completed QOL assessments within 48 hours of day 0 and on days 14, 28, 56, 63 and 70 using a study-specific app.
UNASSIGNED: Assessments were completed by 75 dog and 56 cat owners. By day 14 there was a statistically significant improvement (p ≤ 0.001) in PWB, EWB and all domains except C/R (p = 0.005) in dogs and in all domains and PWB in the cat. Subsequently there was a continued improvement in all domains and summary scores (p ≤ 0.001) except for H/C in the dog and EWB in the cat, which were excluded from the statistical model. The overall improvement in all domain scores in the cat and E/E and A/C in the dog exceeded the previously reported minimum important difference scores for the QOL measure, indicating a clinically significant change.
UNASSIGNED: Treatment with bedinvetmab and frunevetmab produced a significant improvement in the QOL of dogs and cats. This latest evidence for the use of these OA pain medications could be helpful in the clinical management of osteoarthritis and post-marketing clinical trials.

UNASSIGNED: The sedentary aspects of many U.S. occupations and the amount of time American workers spend in the workplace make it an ideal location to implement health promotion programs.
UNASSIGNED: This study assessed the effectiveness of a free smartphone app with a goal-setting feature to increase physical activity (PA) and impact anthropometric, body mass (BM), and body composition (BC) changes among overweight and obese women within a community health workforce. Eighteen overweight and obese (body mass index [BMI] = 32.18 ± 4.48 kg/m2), adult (50.73 ± 8.76 years), female volunteers, tracked daily steps with a free smartphone app (StridekickTM) over an 8-week period. Pre- and post-program body composition (BC) measurements included: relative (%) body fat (BF), fat mass (FM), fat-free mass (FFM), and lean mass (LM), using dual X-ray absorptiometry (DEXA scan), and five anthropometric measurements (biceps, waist, abdomen, hips, and thigh).
UNASSIGNED: Pre- to post-program average daily steps resulted in significant anthropometric changes for biceps, hips, and thigh measures, with encouraging changes in FFM, LM, and relative (%) BF. The goal-setting feature of the app did not result in significant differences between the experimental and control groups. No differences were noted in FM, BMI, waist, and abdomen or step goals compared with steps completed.
UNASSIGNED: An occupational PA health promotion intervention program that tracked daily steps through the StridekickTM smartphone app resulted in anthropometric, BM, and BC changes.
UNASSIGNED: The workplace is an ideal location to affect change in health behaviors via a free smartphone app to increase PA and improve health.

UNASSIGNED: Gait speed is a valuable biomarker for mobility and overall health assessment. Existing methods to measure gait speed require expensive equipment or personnel assistance, limiting their use in unsupervised, daily-life conditions. The availability of smartphones equipped with a single inertial measurement unit (IMU) presents a viable and convenient method for measuring gait speed outside of laboratory and clinical settings. Previous works have used the inverted pendulum model to estimate gait speed using a non-smartphone-based IMU attached to the trunk. However, it is unclear whether and how this approach can estimate gait speed using the IMU embedded in a smartphone while being carried in a pants pocket during walking, especially under various walking conditions.
UNASSIGNED: This study aimed to validate and test the reliability of a smartphone IMU-based gait speed measurement placed in the user\'s front pants pocket in both healthy young and older adults while walking quietly (ie, normal walking) and walking while conducting a cognitive task (ie, dual-task walking).
UNASSIGNED: A custom-developed smartphone application (app) was used to record gait data from 12 young adults and 12 older adults during normal and dual-task walking. The validity and reliability of gait speed and step length estimations from the smartphone were compared with the gold standard GAITRite mat. A coefficient-based adjustment based upon a coefficient relative to the original estimation of step length was applied to improve the accuracy of gait speed estimation. The magnitude of error (ie, bias and limits of agreement) between the gait data from the smartphone and the GAITRite mat was calculated for each stride. The Passing-Bablok orthogonal regression model was used to provide agreement (ie, slopes and intercepts) between the smartphone and the GAITRite mat.
UNASSIGNED: The gait speed measured by the smartphone was valid when compared to the GAITRite mat. The original limits of agreement were 0.50 m/s (an ideal value of 0 m/s), and the orthogonal regression analysis indicated a slope of 1.68 (an ideal value of 1) and an intercept of -0.70 (an ideal value of 0). After adjustment, the accuracy of the smartphone-derived gait speed estimation improved, with limits of agreement reduced to 0.34 m/s. The adjusted slope improved to 1.00, with an intercept of 0.03. The test-retest reliability of smartphone-derived gait speed was good to excellent within supervised laboratory settings and unsupervised home conditions. The adjustment coefficients were applicable to a wide range of step lengths and gait speeds.
UNASSIGNED: The inverted pendulum approach is a valid and reliable method for estimating gait speed from a smartphone IMU placed in the pockets of younger and older adults. Adjusting step length by a coefficient derived from the original estimation of step length successfully removed bias and improved the accuracy of gait speed estimation. This novel method has potential applications in various settings and populations, though fine-tuning may be necessary for specific data sets.

BACKGROUND: Perinatal depression affects a significant number of women during pregnancy and after birth, and early identification is imperative for timely interventions and improved prognosis. Mobile apps offer the potential to overcome barriers to health care provision and facilitate clinical research. However, little is known about users\' perceptions and acceptability of these apps, particularly digital phenotyping and ecological momentary assessment apps, a relatively novel category of apps and approach to data collection. Understanding user\'s concerns and the challenges they experience using the app will facilitate adoption and continued engagement.
OBJECTIVE: This qualitative study explores the experiences and attitudes of users of the Mom2B mobile health (mHealth) research app (Uppsala University) during the perinatal period. In particular, we aimed to determine the acceptability of the app and any concerns about providing data through a mobile app.
METHODS: Semistructured focus group interviews were conducted digitally in Swedish with 13 groups and a total of 41 participants. Participants had been active users of the Mom2B app for at least 6 weeks and included pregnant and postpartum women, both with and without depression symptomatology apparent in their last screening test. Interviews were recorded, transcribed verbatim, translated to English, and evaluated using inductive thematic analysis.
RESULTS: Four themes were elicited: acceptability of sharing data, motivators and incentives, barriers to task completion, and user experience. Participants also gave suggestions for the improvement of features and user experience.
CONCLUSIONS: The study findings suggest that app-based digital phenotyping is a feasible and acceptable method of conducting research and health care delivery among perinatal women. The Mom2B app was perceived as an efficient and practical tool that facilitates engagement in research as well as allows users to monitor their well-being and receive general and personalized information related to the perinatal period. However, this study also highlights the importance of trustworthiness, accessibility, and prompt technical issue resolution in the development of future research apps in cooperation with end users. The study contributes to the growing body of literature on the usability and acceptability of mobile apps for research and ecological momentary assessment and underscores the need for continued research in this area.

Obese people are mostly unable to maintain successful weight loss after the end of a dietary change. One reason is that conventional weight reduction concepts neglect physiological hunger and satiety perception, leading to a relapse to previous eating habits on the long run. We examined the long-term efficacy of a psychological smartphone weight loss program, which avoids any dietary instructions and aims at relearning of satiety perception. Parameters of body weight alterations and psychological features, for example, satiety perception, food cravings, and emotional eating, were explored in a nonrandomized experimental study comprising 75 obese participants. Measurements occurred at baseline, two times during program application, as well as at 6- and 12-month follow-up. Participants displayed significant weight loss during the entire study period (p = .029) and showed an improved body composition at the 6-month follow-up (p = .018). These effects were associated with increased satiety perception, as well as reduced food cravings, and emotional eating habits. Notably, all improvements in measured parameters significantly sustained between the end of the program and the 12-month follow-up (p < .005 for all). Psychological relearning of satiety perception may outclass dietary approaches in terms of long-term efficiency.

United States healthcare outcomes, including avoidable mortality rates, are among the worst of high-income countries despite the highest healthcare spending per capita. While community pharmacies contribute to chronic disease management and preventive medicine, they also offer consumer products that increase mortality risks and the prevalence of cardiovascular diseases, diabetes, cancer, and depression. To resolve these contradictions, our perspective article describes opportunities for major pharmacy chains (e.g., CVS Pharmacy and Walgreens) to introduce digital health aisles dedicated to prescription and over-the-counter digital therapeutics (DTx), together with mobile apps and wearables that support disease self-management, wellness, and well-being. We provide an evidence-based rationale for digital health aisles to replace spaces devoted to sugar-sweetened beverages and other unhealthy commodities (alcohol, tobacco) that may increase risks for premature death. We discuss how digital health aisles can serve as marketing and patient education resources, informing customers about commercially available DTx and other technologies that support healthy lifestyles. Since pharmacy practice requires symbiotic balancing between profit margins and patient-centered, value-based care, replacing health-harming products with health-promoting technologies could positively impact prevention of chronic diseases, as well as the physical and mental health of patients and caregivers who visit neighborhood pharmacies in order to pick up medicines.

UNASSIGNED: Approximately 6 million children in the United States have a diagnosed food allergy, and 32% of caregivers experience significant psychological distress due to the diagnosis. Despite substantial impacts on psychosocial health and quality of life, few interventions aim to help caregivers of newly diagnosed children. There is a clear, unmet need for interventions to address caregiver distress, especially after the initial diagnosis.
UNASSIGNED: We developed a mobile psychosocial health intervention, the Food Allergy Symptom Self-Management with Technology (FASST) app. Primary end points were to determine the app\'s feasibility and caregiver satisfaction.
UNASSIGNED: This was a phase II, randomized controlled, implementation study (4-week duration) in caregivers (N = 30) of children ≤ 18 years of age who were newly diagnosed with a food allergy (≤90 days after the diagnosis). Caregivers (n = 20) were randomized to use the FASST app (intervention group) with access to individualized, self-help symptom relief interventions and food allergy support, and educational resources; or to use a limited app with a basic FASST interface and links to a few educational resources (control group [n = 10]). Ten participants (intervention group, n = 5; control group, n = 5) participated in semistructured interviews at week 4.
UNASSIGNED: Both groups found the app relatively easy to use. The intervention group scores for safety preparedness during social activities increased by 24%, whereas those in the control group experienced a 1% decline. The intervention group participants increased the use of websites to find food allergy information by 17% at week 4 compared with 4% for the control group. Although the intervention group participants showed greater gains than did those in the control group in their confidence to prepare for and prevent allergic reactions, and greater declines in perceived social limitations, more participants in the control group endorsed confidence in their ability to recognize (11% versus 5%, respectively) and treat (10% versus 6%, respectively) allergic reactions.
UNASSIGNED: Analysis of our results suggests that the FASST app may provide a feasible means of delivering psychosocial and educational supports to caregivers of children recently diagnosed with a food allergy.Clinical trial NCT04512924, www.clinicaltrials.gov.

OBJECTIVE: To test the hypothesis that photographs (in addition to self-reported data) can be collected daily by patients with systemic sclerosis (SSc) using a smartphone app designed specifically for digital lesions, and could provide an objective outcome measure for use in clinical trials.
METHODS: An app was developed to collect images and patient reported outcome measures (PROMS) including Pain score and the Hand Disability in Systemic Sclerosis-Digital Ulcers (HDISS-DU) questionnaire. Participants photographed their lesion(s) each day for 30 days and uploaded images to a secure repository. Lesions were analysed both manually and automatically, using a machine learning approach.
RESULTS: 25 patients with SSc-related digital lesions consented of whom 19 completed the 30-day study, with evaluable data from 27 lesions. Mean (standard deviation [SD]) baseline Pain score was 5.7 (2.4) and HDISS-DU 2.2 (0.9), indicating high lesion and disease-related morbidity. 506 images were used in the analysis (mean number of used images per lesion 18.7, SD 8.3). Mean (SD) manual and automated lesion areas at day 1 were 11.6 (16.0) and 13.9 (16.7) mm2 respectively. Manual area decreased by 0.08mm2 per day (2.4mm2 over 30 days) and automated area by 0.1mm2 (3.0mm2 over 30 days). Average gradients of manual and automated measurements over 30 days correlated strongly (r = 0.81). Manual measurements were on average 40% lower than automated, with wide limits of agreement.
CONCLUSIONS: Even patients with significant hand disability were able to use the app. Automated measurement of finger lesions could be valuable as an outcome measure in clinical trials.