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      Real-world data and the patient perspective: the PROmise of social media?

      brief-report

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          Abstract

          Understanding the patient perspective is fundamental to delivering patient-centred care. In most healthcare systems, however, patient-reported outcomes are not regularly collected or recorded as part of routine clinical care, despite evidence that doing so can have tangible clinical benefit. In the absence of the routine collection of these data, research is beginning to turn to social media as a novel means to capture the patient voice. Publicly available social media data can now be analysed with relative ease, bypassing many logistical hurdles associated with traditional approaches and allowing for accelerated and cost-effective data collection. Existing work has shown these data can offer credible insight into the patient experience, although more work is needed to understand limitations with respect to patient representativeness and nuances of captured experience. Nevertheless, linking social media to electronic medical records offers a significant opportunity for patient views to be systematically collected for health services research and ultimately to improve patient care.

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          Most cited references22

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          Under-reporting of adverse drug reactions : a systematic review.

          The purpose of this review was to estimate the extent of under-reporting of adverse drug reactions (ADRs) to spontaneous reporting systems and to investigate whether there are differences between different types of ADRs. A systematic literature search was carried out to identify studies providing a numerical estimate of under-reporting. Studies were included regardless of the methodology used or the setting, e.g. hospital versus general practice. Estimates of under-reporting were either extracted directly from the published study or calculated from the study data. These were expressed as the percentage of ADRs detected from intensive data collection that were not reported to the relevant local, regional or national spontaneous reporting systems. The median under-reporting rate was calculated across all studies and within subcategories of studies using different methods or settings. In total, 37 studies using a wide variety of surveillance methods were identified from 12 countries. These generated 43 numerical estimates of under-reporting. The median under-reporting rate across the 37 studies was 94% (interquartile range 82-98%). There was no significant difference in the median under-reporting rates calculated for general practice and hospital-based studies. Five of the ten general practice studies provided evidence of a higher median under-reporting rate for all ADRs compared with more serious or severe ADRs (95% and 80%, respectively). In comparison, for five of the eight hospital-based studies the median under-reporting rate for more serious or severe ADRs remained high (95%). The median under-reporting rate was lower for 19 studies investigating specific serious/severe ADR-drug combinations but was still high at 85%. This systematic review provides evidence of significant and widespread under-reporting of ADRs to spontaneous reporting systems including serious or severe ADRs. Further work is required to assess the impact of under-reporting on public health decisions and the effects of initiatives to improve reporting such as internet reporting, pharmacist/nurse reporting and direct patient reporting as well as improved education and training of healthcare professionals.
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            Patients' and health professionals' use of social media in health care: motives, barriers and expectations.

            To investigate patients' and health professionals' (a) motives and use of social media for health-related reasons, and (b) barriers and expectations for health-related social media use. We conducted a descriptive online survey among 139 patients and 153 health care professionals in obstetrics and gynecology. In this survey, we asked the respondents about their motives and use of social network sites (SNS: Facebook and Hyves), Twitter, LinkedIn, and YouTube. Results showed that patients primarily used Twitter (59.9%), especially for increasing knowledge and exchanging advice and Facebook (52.3%), particularly for social support and exchanging advice. Professionals primarily used LinkedIn (70.7%) and Twitter (51.2%), for communication with their colleagues and marketing reasons. Patients' main barriers for social media use were privacy concerns and unreliability of the information. Professionals' main barriers were inefficiency and lack of skills. Both patients and professionals expected future social media use, provided that they can choose their time of social media usage. The results indicate disconcordance in patients' and professionals' motives and use of social media in health care. Future studies on social media use in health care should not disregard participants' underlying motives, barriers and expectations regarding the (non)use of social media. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.
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              Facebook language predicts depression in medical records

              Significance Depression is disabling and treatable, but underdiagnosed. In this study, we show that the content shared by consenting users on Facebook can predict a future occurrence of depression in their medical records. Language predictive of depression includes references to typical symptoms, including sadness, loneliness, hostility, rumination, and increased self-reference. This study suggests that an analysis of social media data could be used to screen consenting individuals for depression. Further, social media content may point clinicians to specific symptoms of depression.
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                Author and article information

                Contributors
                sreeram.ramagopalan@bms.com
                Journal
                BMC Med
                BMC Med
                BMC Medicine
                BioMed Central (London )
                1741-7015
                16 January 2019
                16 January 2019
                2019
                : 17
                : 11
                Affiliations
                [1 ]GRID grid.432583.b, Centre for Observational Research and Data Sciences, Bristol-Myers Squibb, ; Uxbridge, UK
                [2 ]GRID grid.432583.b, Bristol-Myers Squibb, ; Uxbridge, UK
                [3 ]Evidera, London, UK
                Article
                1247
                10.1186/s12916-018-1247-8
                6334434
                30646913
                cb2593be-2c37-45c0-b8c2-f04a0b285b58
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 11 July 2018
                : 21 December 2018
                Categories
                Opinion
                Custom metadata
                © The Author(s) 2019

                Medicine
                social media,patient-reported outcomes,epidemiology,real-world data,patient-centricity
                Medicine
                social media, patient-reported outcomes, epidemiology, real-world data, patient-centricity

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