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      Evaluation of Mobile Apps Targeted to Parents of Infants in the Neonatal Intensive Care Unit: Systematic App Review

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          Abstract

          Background

          Parents of preterm infants increasingly use their mobile phone to search for health information. In a recent review, websites targeted toward parents with infants in the neonatal intensive care unit (NICU) were found to have poor to moderate quality educational material; however, there is a dearth of literature regarding mobile apps for NICU parents.

          Objective

          This study aimed to identify and evaluate apps targeting parents of infants in the NICU for quality of information, usability, and credibility.

          Methods

          We systematically searched the Apple App Store and Google Play using 49 key terms (eg, “preterm infant”) from July 26 to August 18, 2017. English apps targeting NICU parents that cost less than $20 were included. Apps for health care professionals, e-books/magazines, or nonrelevant results were excluded. In total, 3 tools were used for evaluation: Mobile Application Rating Scale (MARS) to measure quality; Patient Education Materials Assessment Tool for Audiovisual Materials (PEMAT-AV) to measure the app’s content usability; and Trust it or Trash It to measure credibility.

          Results

          The initial search yielded 6579 apps, with 49 apps eligible after title and description screening. In total, 27 apps met the eligibility criteria with 9 apps available in both app stores; of those, the app with the most recent update date was chosen to be included in the analysis. Thus, 18 unique apps were included for final analysis. Using MARS, 7 apps (7/18, 39%) received a good score on overall quality (ie, 4.0 out of 5.0), with none receiving an excellent score. In addition, 8 apps (8/18, 44%) received a PEMAT-AV score between 51% and 75% on the understandability subscale, and 8 apps (8/18, 44%) scored between 76% and 100% on the actionability subscale. Trust It or Trash It deemed 13 apps (13/18, 72%) as trash for reasons including no identification of sources or lack of current information, with only 5 (5/18, 28%) deemed trustworthy. Reviewer’s expert evaluation found 16 apps contained content that matched information provided by multiple sources; however, most apps did not meet other objective measurement items to support credibility. When comparing the MARS overall quality and subjective quality scores with trustworthiness of apps, there was no statistically significant difference. A statistically significant difference was found between the 2 MARS quality scores, indicating that, on average, apps were ranked significantly lower on subjective quality compared with overall quality measures.

          Conclusions

          This evaluation revealed that of the available apps targeting NICU parents, less than half should be considered as acceptable educational material. Over two-thirds of the apps were found to have issues regarding credibility and just over a quarter were considered good quality. The apps currently available for NICU parents are lacking and of concern in terms of quality and credibility.

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          Most cited references31

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          Risk factors for antenatal depression, postnatal depression and parenting stress

          Background Given that the prevalence of antenatal and postnatal depression is high, with estimates around 13%, and the consequences serious, efforts have been made to identify risk factors to assist in prevention, identification and treatment. Most risk factors associated with postnatal depression have been well researched, whereas predictors of antenatal depression have been less researched. Risk factors associated with early parenting stress have not been widely researched, despite the strong link with depression. The aim of this study was to further elucidate which of some previously identified risk factors are most predictive of three outcome measures: antenatal depression, postnatal depression and parenting stress and to examine the relationship between them. Methods Primipara and multiparae women were recruited antenatally from two major hoitals as part of the beyondblue National Postnatal Depression Program [1]. In this subsidiary study, 367 women completed an additional large battery of validated questionnaires to identify risk factors in the antenatal period at 26–32 weeks gestation. A subsample of these women (N = 161) also completed questionnaires at 10–12 weeks postnatally. Depression level was measured by the Beck Depression Inventory (BDI). Results Regression analyses identified significant risk factors for the three outcome measures. (1). Significant predictors for antenatal depression: low self-esteem, antenatal anxiety, low social support, negative cognitive style, major life events, low income and history of abuse. (2). Significant predictors for postnatal depression: antenatal depression and a history of depression while also controlling for concurrent parenting stress, which was a significant variable. Antenatal depression was identified as a mediator between seven of the risk factors and postnatal depression. (3). Postnatal depression was the only significant predictor for parenting stress and also acted as a mediator for other risk factors. Conclusion Risk factor profiles for antenatal depression, postnatal depression and parenting stress differ but are interrelated. Antenatal depression was the strongest predictor of postnatal depression, and in turn postnatal depression was the strongest predictor for parenting stress. These results provide clinical direction suggesting that early identification and treatment of perinatal depression is important.
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            Mobile medical and health apps: state of the art, concerns, regulatory control and certification

            This paper examines the state of the art in mobile clinical and health-related apps. A 2012 estimate puts the number of health-related apps at no fewer than 40,000, as healthcare professionals and consumers continue to express concerns about the quality of many apps, calling for some form of app regulatory control or certification to be put in place. We describe the range of apps on offer as of 2013, and then present a brief survey of evaluation studies of medical and health-related apps that have been conducted to date, covering a range of clinical disciplines and topics. Our survey includes studies that highlighted risks, negative issues and worrying deficiencies in existing apps. We discuss the concept of ‘apps as a medical device’ and the relevant regulatory controls that apply in USA and Europe, offering examples of apps that have been formally approved using these mechanisms. We describe the online Health Apps Library run by the National Health Service in England and the calls for a vetted medical and health app store. We discuss the ingredients for successful apps beyond the rather narrow definition of ‘apps as a medical device’. These ingredients cover app content quality, usability, the need to match apps to consumers’ general and health literacy levels, device connectivity standards (for apps that connect to glucometers, blood pressure monitors, etc.), as well as app security and user privacy. ‘Happtique Health App Certification Program’ (HACP), a voluntary app certification scheme, successfully captures most of these desiderata, but is solely focused on apps targeting the US market. HACP, while very welcome, is in ways reminiscent of the early days of the Web, when many “similar” quality benchmarking tools and codes of conduct for information publishers were proposed to appraise and rate online medical and health information. It is probably impossible to rate and police every app on offer today, much like in those early days of the Web, when people quickly realised the same regarding informational Web pages. The best first line of defence was, is, and will always be to educate consumers regarding the potentially harmful content of (some) apps.
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              Empirical Studies Assessing the Quality of Health Information for Consumers on the World Wide Web

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                Author and article information

                Contributors
                Journal
                JMIR Mhealth Uhealth
                JMIR Mhealth Uhealth
                JMU
                JMIR mHealth and uHealth
                JMIR Publications (Toronto, Canada )
                2291-5222
                April 2019
                15 April 2019
                : 7
                : 4
                : e11620
                Affiliations
                [1 ] School of Nursing Dalhousie University Halifax, NS Canada
                [2 ] Faculty of Health Dalhousie University Halifax, NS Canada
                [3 ] Centre for Pediatric Pain Izaak Walton Killam Health Centre Halifax, NS Canada
                [4 ] School of Information Management Dalhousie University Halifax, NS Canada
                [5 ] Division of Neonatal Perinatal Medicine, Department of Pediatrics Faculty of Medicine Dalhousie University Halifax, NS Canada
                [6 ] Division of Neonatal Perinatal Medicine, Department of Pediatrics Faculty of Medicine Izaak Walton Killam Health Centre Halifax, NS Canada
                Author notes
                Corresponding Author: Marsha Campbell-Yeo marsha.campbell-yeo@ 123456dal.ca
                Author information
                http://orcid.org/0000-0002-4659-5236
                http://orcid.org/0000-0002-8928-7647
                http://orcid.org/0000-0003-1416-376X
                http://orcid.org/0000-0001-9459-6578
                http://orcid.org/0000-0002-4218-9003
                http://orcid.org/0000-0001-7515-9700
                http://orcid.org/0000-0002-1489-4303
                http://orcid.org/0000-0002-2028-4317
                http://orcid.org/0000-0001-5631-6635
                Article
                v7i4e11620
                10.2196/11620
                6487340
                30985282
                092f94b5-eafc-44ac-85dd-5cd05dcda67a
                ©Brianna Richardson, Justine Dol, Kallen Rutledge, Joelle Monaghan, Adele Orovec, Katie Howie, Talia Boates, Michael Smit, Marsha Campbell-Yeo. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 15.04.2019.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/.as well as this copyright and license information must be included.

                History
                : 31 July 2018
                : 21 September 2018
                : 10 October 2018
                : 29 October 2018
                Categories
                Original Paper
                Original Paper

                parenting,intensive care units, neonatal,review,mobile health,mhealth,mobile apps,ehealth,education, nonprofessional,infant, premature

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