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https://www.selleckchem.com/products/gne-049.html Depression is a global health issue which is associated with disability, absenteeism, decreased productivity and high suicide rates. It is the fourth most common cause of disability globally and by the year 2020 it will be the second leading cause of disease burden. In Pakistan, the prevalence of depression is 45.9%. A unique and promising method for addressing the issue is mobile health (m-health). It refers to the utilisation of mobile technology to support various aspects of healthcare. Electronic record, SMS, internet, wearable devices and mobile applications are some of the digitalisation approaches used to bridge the treatment gap in depression through assuring privacy of patients, improving accessibility, reducing taboos related to depression, save cost for patients and reduce hospital burden and consultation time; these will be accessible in remote areas as well. Therefore, this short review is aimed to highlight the m-health forecasting for controlling depression and positional use in developing countries.Despite severe health and economic consequences that women face because of the negative attitude of healthcare providers towards safe abortion and post-abortion care (SA/PAC), no psychometric tool has yet been validated for assessing the attitude towards SA/PAC. Only a handful of studies have attempted to assess healthcare providers' attitude towards safe abortions in Pakistan. Therefore, this study aimed to develop and validate a psychometric scale to assess attitude towards safe abortions in Pakistan. The study collected data from 106 workers of an NGO that provides SA/PAC through an online and anonymous survey using the organisation's network. The study used factor analytic techniques and structural equation modelling to validate the factor structure and a final hierarchical model. A final scale of seven items relating to attitude towards elective abortions and moral attitude towards safe abortions was v

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