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Query: UMLS:C0011570 (depression)
 172,036 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Depression is the most prevalent clinical disorder and one of the main causes of disability. This makes early detection of depressive symptoms critical in its prevention and management. This paper presents and discusses the development of Psychologist in a Pocket (PiaP), a mental mHealth application for Android which screens and monitors for these symptoms, and-given the explicit permission of the user-alerts a trusted contact such as the mental health professional or a close friend, if it detects symptoms. All text inputted electronically-such as short message services, emails, social network posts-is analyzed based on keywords related to depression based on DSM-5 and ICD criteria as well as Beck's Cognitive Theory of Depression and the Self-Focus Model. Data evaluation and collection happen in the background, on-device, without requiring any user involvement. Currently, the application is in an early prototype phase entering initial clinical validation.
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PMID:Psychologist in a pocket: towards depression screening on mobile phones. 2598 Aug 62

Major depression is the most prevalent mental disorder and one of the main reasons for disability. To be successful in treating depression, it is necessary to have early identification and intervention. Therefore, it is important to design more objective and more efficient depression screening techniques. Such interventions provided by mobile apps shows promise due to their capabilities to support people in their everyday lives. Until very recently, the design of mental health apps that works effectively in the context of diagnostics had not been widely explored. For this reason, we have investigated potentially significant depression-correlated parameters derived from self reports, smartphone usage pattern and sensor data to specify our concept. Following the results of the requirement analysis, we developed the Android app 'Fine'. A feasibility check with a specific target audience has shown that the app can record most of the selected parameters reliably. It has also shown that the overall concept has been accepted positively with the target audience. Further work is planned to improve the functionalities and to adapt specific needs for depression attendance.
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PMID:Accompanying Depression with FINE - A Smartphone-Based Approach. 2757 70

The COPD Foundation has tried to address gaps in chronic obstructive pulmonary disease (COPD) care by providing COPD Pocket Consultant Guide cards to U.S. health care providers. Since launching the card in 2007, there have been numerous updates and more than 800,000 of these cards have been distributed at no charge to health care professionals. The most recent versions have concentrated on presenting an algorithm for COPD management based on 7 severity domains: spirometry, symptoms, exacerbations, oxygen requirements, the presence of chronic bronchitis or emphysema and comorbidities. To increase the usability and reach of this tool, the COPD Pocket Consultant Guide is now available as an app for iOS and Android. This updated version of the app includes new COPD and asthma/COPD overlap flow charts; an interactive therapy chart that takes into account modified Medical Research Council (mMRC), COPD Assessment Test (CAT), and spirometry scores; anxiety and depression screeners; up-to-date medication charts in both brand and generic formats; a checklist to aid in determining when a patient should be referred to a pulmonologist and more. Potential use of the COPD Pocket Consultant Guide app in clinical care is discussed.
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PMID:Introducing the New COPD Pocket Consultant Guide App: Can A Digital Approach Improve Care? A Statement of the COPD Foundation. 3107 13

Background: A pregnant woman undergoes physiological as well as psychological changes during this phase of life during which anxiety is a commonly faced mental condition. There is sufficient evidence on the association of pregnancy specific anxiety with adverse pregnancy outcomes. Studies on anxiety during pregnancy from low and middle income countries are limited. Methods: This study included 380 pregnant women, having a confirmed pregnancy of less than 24 weeks without any obstetric complication, who were availing of antenatal care at a public sector hospital in Bangalore city. Pregnancy-related thoughts (PRT) scale was used to screen for anxiety. Details pertaining to sociodemographic data, obstetric history, psychosocial factors including social support, marital discord, domestic violence, consanguinity, history of catastrophic events, history of mental illness, current presence of depression and anxiety was obtained by means of electronic data capture using an Android-based App. Results: Out of 380 pregnant women, 195 (55.7%) were found to have pregnancy-related anxiety. Lower socioeconomic status, low social support and depression emerged as significant determinants of anxiety. Conclusion: The prevalence of anxiety was fairly high in the study population and isp therefore an important public health concern. Pregnancy-related anxiety must be identified early during routine antenatal care to prevent any untoward pregnancy outcomes.
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PMID:The prevalence and determinants of pregnancy-related anxiety amongst pregnant women at less than 24 weeks of pregnancy in Bangalore, Southern India. 3111 92

Mental health conditions pose a major challenge to healthcare providers and society at large. The World Health Organization predicts that by 2030 mental illnesses will be the leading disease burden globally. Mental health services are struggling to meet the needs of users and arguably fail to reach large proportions of those in need. According to New Zealand Mental Health Foundation, one in five will experience a serious mood disorder, including depression, at some time in their life. Games for Health including those supporting mental health have recently gained a lot of attention. However, game interface preferences for users with a history of mental health conditions have not been systematically studied, making it difficult to determine what game features may attract and further engage users affected by mental health conditions. We present MoodJumper, a prototype Android mobile game, which enables players to jump to the top of the level by steering the avatar from platform to platform, gradually gaining height and collecting coins on the way up. We conducted a preliminary study (n = 25), in which participants were able to modify different settings of the game (background color, dark/light, character movement, gender, and music), while their gaming behavior was tracked. The results show that regardless of self-reported history of mood disorder, the majority of participants prefer the dark and colored layout setting and there were no differences in gaming variables including session duration and high scores. This represents a first indication that history of mood disorder does not affect user preferences for game interface settings. It will be important to follow up with data on users currently affected by low mood. Systematic study of game interface preferences in users with mood disorder constitutes a vital step in being able to harness the potential power of games for supporting mental health.
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PMID:MoodJumper: An Exploration of Game Interface Preferences in Users With/Out Mood Disorder. 3144 Apr 95

Postpartum depression is a serious mental illnessdisorder that occurs after delivery and is one of the most common post-partum complications. With the increasing popularity and extensive use of smartphones worldwide and the fact that China has become the country with the largest number of smartphone users, it is necessary to have a deep understanding of the use and influence of smartphones and discuss the role of smartphone applications in postpartum depression. This study evaluated and analysed the contents of all postpartum depression applications available in China, applying the US Preventive Services Task Force Recommendation Statement (Interventions to Prevent Perinatal Depression) and expert consensus on the guidelines for the prevention and treatment of postpartum depression. We used the keywords 'postpartum depression; and 'PPD' to search Android, iOS, and WeChat in the Chinese application market. Two reviewers agreed on the coding guidelines and coded the content and functionality of the application through content analysis to determine its intervention and adherence to the guidelines. In addition, we used the Mobile App Rating Scale (MARS) to evaluate the application for engagement, functionality, aesthetics, and information domains and recorded the features of the postpartum depression application. The current findings suggest that despite the recent expansion of smartphone platforms and increased availability of applications, existing Chinese apps for postpartum depression have low levels of adherence to clinical practice-based guidelines. New apps need to be developed, and existing apps need to be revised following evidence-based principles.
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PMID:Assessing the quality of mobile applications targeting postpartum depression in China. 3222 70