Recent studies have shown that women are more likely than men to use the Internet to seek health information and that the use of technology is common among perinatal women. Access to the Internet is growing through the global use of mobile phones and apps, in both developed and less developed countries. This pattern is particularly relevant for clinicians and researchers who are interested in the use of technologies to disseminate perinatal depression interventions. In a cross-sectional anonymous online survey for English and Spanish-speaking perinatal women, 509 pregnant (77.6 percent) and postpartum (22.4 percent) women provided demographic and Information and Communication Technologies data. Results indicated that the single device with greatest access was the mobile phone (47.5 percent). The majority of the sample had Internet access through mobile phones, computers, or both. Significant differences in socioeconomic status were found for Internet seeking behavior of health-related information and downloading apps between those with and without Internet access. Ninety percent of respondents (n = 267) searched for health-related information and 72.3 percent had downloaded any kind of app. More than half of respondents (57 percent, n = 188) downloaded a health-related app and 26.9 percent reported having paid for the apps. This study shows preliminary evidence to suggest the need to design, develop, and test apps that aim to disseminate prevention programs for perinatal depression.

Anxiety and depressive disorders are the most frequent disorders for which patients seek care in public health settings in Spain. This study aimed at validating the Overall Anxiety Severity and Impairment Scale (OASIS) and the Overall Depression Severity and Impairment Scale (ODSIS), which are brief screening scales for anxiety and depression consisting of only five items each. The study was conducted in a Spanish clinical sample receiving outpatient mental health treatment (N = 339). A subsample of participants (n = 219) was assessed before and after receiving a course of cognitive-behavioral treatment. The results revealed excellent internal consistency estimates (Cronbach's alpha for the OASIS and the ODSIS was 0.87 and 0.94, respectively), along with promising convergent and discriminant validity and test-criterion relationships (i.e., moderate correlation with other measures of depression and anxiety, as well as with neuroticism, quality of life, adjustment, and negative affect). A one-dimensional structure was obtained for the OASIS and the ODSIS. The ROC analyses indicated an area under the curve of 0.83 for the OASIS and the ODSIS when predicting moderate-to-severe anxiety and depression, respectively. Good sensitivity to therapeutic change was also evidence and the analysis of the sensitivity as a function of 1-specificity area suggested a cutoff value of 10 for both scales. Inter-rater reliability of diagnoses with the ADIS-IV interview could not be investigated and the results obtained may not be generalizable to other samples and health settings. The availability of these two short and psychometrically sound measures should make screening of anxiety and depressive symptoms in routine care more feasible.

Our study focuses on exploring (1) the intention of health professionals to use and recommend e-mental health applications, (2) how this intention of health professionals might be influenced, (3) which group of health professionals might be most accessible to promote e-mental health applications for maternal depression, and (4) for which tasks they rate them to be most useful. Based on a questionnaire informed by the theory of planned behavior, we collected 131 responses of U.S., Spanish, and Swiss health professionals in the field of pregnancy and maternal care (including psychologists, psychiatrists, midwives, and doctors) by means of an online survey. We analyzed the gathered data applying a structured equation model. Our study reveals that health professionals would in general intend to recommend and use e-mental health applications. However, their attitude towards e-mental health applications varies regarding the respective use cases and also differs among health professions. We offer three alternative propositions for private or public organizations, associations, or any other entity whose purpose is service to the community for introducing e-mental health applications into practice.

The dimensionality of the Hospital Anxiety and Depression Scale (HADS) is a current source of controversy among experts. The present study integrates a solid theoretical framework (Clark & Watson's, 1991, tripartite theory) and a fine-grained methodological approach (structural equation modeling; SEM) to examine the dimensionality and construct validity of the HADS in fibromyalgia (FM) patients. Using the HADS data of 269 Spanish patients with FM, we estimated the cross-sectional and, for the first time, longitudinal fit (autoregressive model) of 2 competing models (oblique 2-factor vs. bifactor) via confirmatory factor analysis. The pattern of relationships between the HADS latent dimensions and positive and negative affect (PA and NA) was analyzed using SEM. HADS reliability was assessed by computing the omega and omega hierarchical coefficients. The bifactor model, which accounted for the covariance among HADS items with regard to 1 general factor (psychological distress) and 2 specific factors (depression and anxiety), described the HADS structure better than the original oblique 2-factor model during both study periods. All latent dimensions of the bifactor model were temporally stable. The SEM analysis revealed a significant link between psychological distress and NA as well as between depression and low PA. Only the general factor of psychological distress showed adequate reliability. In conclusion, the HADS shows a clear bifactor structure among FM patients. Our results indicate that it is not recommendable to compute anxiety and depression scores separately because anxiety variance is tapped primarily by the broader construct of psychological distress, and both specific dimensions show low reliability.