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      Assessment of the Data Sharing and Privacy Practices of Smartphone Apps for Depression and Smoking Cessation

      research-article
      , MBChB, MSc, PhD 1 , , , MD 2 , , MEng, DPhil 1
      JAMA Network Open
      American Medical Association

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          Key Points

          Question

          Do the privacy policies of popular smartphone applications (apps) for depression and smoking cessation describe accurately whether data will be processed by commercial third parties?

          Findings

          In this cross-sectional study of 36 top-ranked apps for depression and smoking cessation available in public app stores, 29 transmitted data to services provided by Facebook or Google, but only 12 accurately disclosed this in a privacy policy.

          Meaning

          Health care professionals prescribing apps should not rely on disclosures about data sharing in health app privacy policies but should reasonably assume that data will be shared with commercial entities whose own privacy practices have been questioned and, if possible, should consider only apps with data transmission behaviors that have been subject to direct scrutiny.

          Abstract

          This cross-sectional study evaluates the data sharing and privacy practices of smartphone applications available in public app stores for depression and smoking cessation.

          Abstract

          Importance

          Inadequate privacy disclosures have repeatedly been identified by cross-sectional surveys of health applications (apps), including apps for mental health and behavior change. However, few studies have assessed directly the correspondence between privacy disclosures and how apps handle personal data. Understanding the scope of this discrepancy is particularly important in mental health, given enhanced privacy concerns relating to stigma and negative impacts of inadvertent disclosure. Because most health apps fall outside government regulation, up-to-date technical scrutiny is essential for informed decision making by consumers and health care professionals wishing to prescribe health apps.

          Objective

          To provide a contemporary assessment of the privacy practices of popular apps for depression and smoking cessation by critically evaluating privacy policy content and, specifically, comparing disclosures regarding third-party data transmission to actual behavior.

          Design and Setting

          Cross-sectional assessment of 36 top-ranked (by app store search result ordering in January 2018) apps for depression and smoking cessation for Android and iOS in the United States and Australia. Privacy policy content was evaluated with prespecified criteria. Technical assessment of encrypted and unencrypted data transmission was performed. Analysis took place between April and June 2018.

          Main Outcomes and Measures

          Correspondence between policies and transmission behavior observed by intercepting sent data.

          Results

          Twenty-five of 36 apps (69%) incorporated a privacy policy. Twenty-two of 25 apps with a policy (88%) provided information about primary uses of collected data, while only 16 (64%) described secondary uses. While 23 of 25 apps with a privacy policy (92%) stated in a policy that data would be transmitted to a third party, transmission was detected in 33 of all 36 apps (92%). Twenty-nine of 36 apps (81%) transmitted data for advertising and marketing purposes or analytics to just 2 commercial entities, Google and Facebook, but only 12 of 28 (43%) transmitting data to Google and 6 of 12 (50%) transmitting data to Facebook disclosed this.

          Conclusions and Relevance

          Data sharing with third parties that includes linkable identifiers is prevalent and focused on services provided by Google and Facebook. Despite this, most apps offer users no way to anticipate that data will be shared in this way. As a result, users are denied an informed choice about whether such sharing is acceptable to them. Privacy assessments that rely solely on disclosures made in policies, or are not regularly updated, are unlikely to uncover these evolving issues. This may limit their ability to offer effective guidance to consumers and health care professionals.

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          Most cited references19

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          Global mortality, disability, and the contribution of risk factors: Global Burden of Disease Study.

          Prevention and control of disease and injury require information about the leading medical causes of illness and exposures or risk factors. The assessment of the public-health importance of these has been hampered by the lack of common methods to investigate the overall, worldwide burden. The Global Burden of Disease Study (GBD) provides a standardised approach to epidemiological assessment and uses a standard unit, the disability-adjusted life year (DALY), to aid comparisons. DALYs for each age-sex group in each GBD region for 107 disorders were calculated, based on the estimates of mortality by cause, incidence, average age of onset, duration, and disability severity. Estimates of the burden and prevalence of exposure in different regions of disorders attributable to malnutrition, poor water supply, sanitation and personal and domestic hygiene, unsafe sex, tobacco use, alcohol, occupation, hypertension, physical inactivity, use of illicit drugs, and air pollution were developed. Developed regions account for 11.6% of the worldwide burden from all causes of death and disability, and account for 90.2% of health expenditure worldwide. Communicable, maternal, perinatal, and nutritional disorders explain 43.9%; non-communicable causes 40.9%; injuries 15.1%; malignant neoplasms 5.1%; neuropsychiatric conditions 10.5%; and cardiovascular conditions 9.7% of DALYs worldwide. The ten leading specific causes of global DALYs are, in descending order, lower respiratory infections, diarrhoeal diseases, perinatal disorders, unipolar major depression, ischaemic heart disease, cerebrovascular disease, tuberculosis, measles, road-traffic accidents, and congenital anomalies. 15.9% of DALYs worldwide are attributable to childhood malnutrition and 6.8% to poor water, and sanitation and personal and domestic hygiene. The three leading contributors to the burden of disease are communicable and perinatal disorders affecting children. The substantial burdens of neuropsychiatric disorders and injuries are under-recognised. The epidemiological transition in terms of DALYs has progressed substantially in China, Latin America and the Caribbean, other Asia and islands, and the middle eastern crescent. If the burdens of disability and death are taken into account, our list differs substantially from other lists of the leading causes of death. DALYs provide a common metric to aid meaningful comparison of the burden of risk factors, diseases, and injuries.
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            Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace

            Background Depression is highly prevalent and causes considerable suffering and disease burden despite the existence of wide-ranging treatment options. Mobile phone apps offer the potential to help close this treatment gap by confronting key barriers to accessing support for depression. Objectives Our goal was to identify and characterize the different types of mobile phone depression apps available in the marketplace. Methods A search for depression apps was conducted on the app stores of the five major mobile phone platforms: Android, iPhone, BlackBerry, Nokia, and Windows. Apps were included if they focused on depression and were available to people who self-identify as having depression. Data were extracted from the app descriptions found in the app stores. Results Of the 1054 apps identified by the search strategy, nearly one-quarter (23.0%, 243/1054) unique depression apps met the inclusion criteria. Over one-quarter (27.7%, 210/758) of the excluded apps failed to mention depression in the title or description. Two-thirds of the apps had as their main purpose providing therapeutic treatment (33.7%, 82/243) or psychoeducation (32.1%, 78/243). The other main purpose categories were medical assessment (16.9%, 41/243), symptom management (8.2%, 20/243), and supportive resources (1.6%, 4/243). A majority of the apps failed to sufficiently describe their organizational affiliation (65.0%, 158/243) and content source (61.7%, 150/243). There was a significant relationship (χ 2 5=50.5, P<.001) between the main purpose of the app and the reporting of content source, with most medical assessment apps reporting their content source (80.5%, 33/41). A fifth of the apps featured an e-book (20.6%, 50/243), audio therapy (16.9%, 41/243), or screening (16.9%, 41/243) function. Most apps had a dynamic user interface (72.4%, 176/243) and used text as the main type of media (51.9%, 126/243), and over a third (14.4%, 35/243) incorporated more than one form of media. Conclusion Without guidance, finding an appropriate depression app may be challenging, as the search results yielded non-depression–specific apps to depression apps at a 3:1 ratio. Inadequate reporting of organization affiliation and content source increases the difficulty of assessing the credibility and reliability of the app. While certification and vetting initiatives are underway, this study demonstrates the need for standardized reporting in app stores to help consumers select appropriate tools, particularly among those classified as medical devices.
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              New dimensions and new tools to realize the potential of RDoC: digital phenotyping via smartphones and connected devices

              Mobile and connected devices like smartphones and wearable sensors can facilitate the collection of novel naturalistic and longitudinal data relevant to psychiatry at both the personal and population level. The National Institute of Mental Health's Research Domain Criteria framework offers a useful roadmap to organize, guide and lead new digital phenotyping data towards research discoveries and clinical advances.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                19 April 2019
                April 2019
                19 April 2019
                : 2
                : 4
                : e192542
                Affiliations
                [1 ]Black Dog Institute, UNSW Sydney, Randwick, New South Wales, Australia
                [2 ]Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts
                Author notes
                Article Information
                Accepted for Publication: March 3, 2019.
                Published: April 19, 2019. doi:10.1001/jamanetworkopen.2019.2542
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2019 Huckvale K et al. JAMA Network Open.
                Corresponding Author: Kit Huckvale, MBChB, MSc, PhD, Black Dog Institute, UNSW Sydney, Hospital Road, Randwick, New South Wales 2031, Australia ( c.huckvale@ 123456unsw.edu.au ).
                Author Contributions: Dr Huckvale had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Huckvale, Larsen.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: Huckvale, Torous.
                Critical revision of the manuscript for important intellectual content: All authors
                Statistical analysis: Huckvale, Larsen.
                Administrative, technical, or material support: All authors.
                Supervision: Torous.
                Conflict of Interest Disclosures: Dr Larsen reported grants from National Health and Medical Research Council during the conduct of the study. No other disclosures were reported.
                Additional Contributions: Harini Kolamunna, PhD, UNSW Sydney, reviewed the privacy policies. Dr Kolamunna was compensated for her contribution to the study.
                Article
                zoi190111
                10.1001/jamanetworkopen.2019.2542
                6481440
                31002321
                f2db3b00-8d82-4d52-add8-0dae3a4b96c4
                Copyright 2019 Huckvale K et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 11 January 2019
                : 28 February 2019
                : 3 March 2019
                Categories
                Research
                Original Investigation
                Featured
                Online Only
                Health Informatics

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