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tp//mhealth.jmir.org), 15.04.2020.BACKGROUND Video-based health care can help address access gaps for patients and is rapidly being offered by health care organizations. However, patients who lack access to technology may be left behind in these initiatives. In 2016, the US Department of Veterans Affairs (VA) began distributing video-enabled tablets to provide video visits to veterans with health care access barriers. OBJECTIVE This study aimed to evaluate veterans' experiences with VA-issued tablets and identify patient characteristics associated with preferences for video visits vs in-person care. METHODS A baseline survey was sent to the tablet recipients, and a follow-up survey was sent to the respondents 3 to 6 months later. Multivariate logistic regression was used to identify patient characteristics associated with preferences for care, and we examined qualitative themes around care preferences using standard content analysis methods for coding the data collected in the open-ended questions. RESULTS Patient-reported access barriers cens in access to care, perceived differential quality of care, feasibility of obtaining necessary care, and technology-related challenges. CONCLUSIONS Many recipients of VA-issued tablets report that video care is equivalent to or preferred to in-person care. Results may inform efforts to identify good candidates for virtual care and interventions to support individuals who experience technical challenges. ©Cindie Slightam, Amy J Gregory, Jiaqi Hu, Josephine Jacobs, Tolessa Gurmessa, Rachel Kimerling, Daniel Blonigen, Donna M Zulman. Originally published in the Journal of Medical Internet Research (http//www.jmir.org), 15.04.2020.BACKGROUND The correct dating of pregnancy is critical to support timely decisions and provide obstetric care during birth. The early obstetric ultrasound assessment before 14 weeks is considered the best reference to assist in determining gestational age (GA), with an accuracy of ±5 to 7 days. However, this information is limited in many settings worldwide. OBJECTIVE The aim of this study is to analyze the association between the obstetric interventions during childbirth and the quality of GA determination, according to the first antenatal ultrasound assessment, which assisted the calculation. METHODS This is a hospital-based cohort study using medical record data of 2113 births at a perinatal referral center. The database was separated into groups and subgroups of analyses based on the reference used by obstetricians to obtain GA at birth. Maternal and neonatal characteristics, mode of delivery, oxytocin augmentation, and forceps delivery were compared between groups of pregnancies with GA determination at , Juliano De Souza Gaspar, Gabriela Luiza Nogueira Vitral, Vitor Barbosa Abrantes, Ingrid Michelle Fonseca De-Souza, Maria Tereza Silveira Moreira, Regina Amélia Lopes Pessoa Aguiar. Originally published in JMIR Pediatrics and Parenting (http//pediatrics.jmir.org), 15.04.2020.BACKGROUND People often search the internet to obtain health-related information not only for themselves but also for family members and, in particular, their children. learn more However, for a minority of parents, such searches may become excessive and distressing. Little is known about excessive web-based searching by parents for information regarding their children's health. OBJECTIVE This study aimed to develop and validate an instrument designed to assess parents' web-based health information searching behavior, the Children's Health Internet Research, Parental Inventory (CHIRPI). METHODS A pilot survey was used to establish the instrument (21 items). CHIRPI was validated online in a second sample (372/384, 96.9% mothers; mean age 32.7 years, SD 5.8). Item analyses, an exploratory factor analysis (EFA), and correlations with parents' perception of their children's health-related vulnerability (Child Vulnerability Scale, CVS), parental health anxiety (modified short Health Anxiety Inventory, mSHAI), and parental cy15.04.2020.BACKGROUND Nearly half of the patients with breast cancer experience clinically significant mental distress within the first year of receiving their cancer diagnosis. There is an urgent need to identify scalable and cost-efficient ways of delivering empirically supported mental health interventions to patients with breast cancer. OBJECTIVE The aim of this study was to evaluate the feasibility of in-clinic recruitment for a mobile phone app study and to evaluate the usability and preliminary impact of a suite of mental health apps (IntelliCare) with phone coaching on psychosocial distress symptoms in patients recently diagnosed with breast cancer. METHODS This pilot study adopted a within-subject, 7-week pre-post study design. A total of 40 patients with breast cancer were recruited at a US National Cancer Institute-designated clinical cancer center. Self-reported distress (Patient Health Questionnaire-4) and mood symptoms (Patient-Reported Outcomes Measurement Information System depression and anxiety scales)Cohn. Originally published in JMIR Cancer (http//cancer.jmir.org), 15.04.2020.BACKGROUND Technology-based physical activity suggests new opportunities for public health initiatives. Yet only 45% of technology interventions are theoretically based, and the acceptability mechanisms have been insufficiently studied. Acceptability and acceptance theories have provided interesting insights, particularly the unified theory of acceptance and use of technology 2 (UTAUT2). In several studies, the psychometric qualities of acceptability scales have not been well demonstrated. OBJECTIVE The aim of this study was to adapt the UTAUT2 to the electronic health (eHealth) context and provide a preliminary validation of the eHealth acceptability scale in a French sample. METHODS In line with the reference validation methodologies, we carried out the following stages of validating the scale with a total of 576 volunteers translation and adaptation, dimensionality tests, reliability tests, and construct validity tests. We used confirmatory factor analysis to validate a 22-item instrument with 7 subscales Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value, and Habit.