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Applications for self-administered mobile cognitive assessments in clinical research: A systematic review.

ABSTRACT: Frequent, brief and repeated self-administered mobile assessments of cognitive function, conducted in everyday life settings, are a promising complementary tool to traditional assessment approaches. Mobile cognitive assessments promote patient-centered care and might enhance capacity to inform individual-level outcomes over time (i.e. detecting subtle declines in cognitive function), as well as in assessing cognition and its correlates in the naturalistic environment. The goal of this systematic review was to assess the feasibility and psychometric properties of mobile cognitive assessments. Through a comprehensive search, we identified 12 articles using self-administered, mobile phone-based cognitive assessments. Studies sampled participants between 1 and 6 times per day for 1-14 days. Samples ranged in age from 14 to 83 years old and were generally healthy populations without cognitive impairment. Working memory was the most frequently-assessed cognitive domain (n = 7), followed by attention/reaction time (n = 4). Seven studies reported adherence, with mean adherence rates of 79.2%. In addition to positive evidence of feasibility, there was general support for high levels of between- and within-person reliability and construct validity. While research has only begun to explore the utility of mobile cognitive assessments, studies to-date indicate they may be a promising complementary tool to traditional assessment methods with potential to improve clinical care and research.

SUBMITTER: Moore RC

PROVIDER: S-EPMC5623609 | biostudies-other | 2017 Dec

REPOSITORIES: biostudies-other

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Applications for self-administered mobile cognitive assessments in clinical research: A systematic review.

Moore Raeanne C RC Swendsen Joel J Depp Colin A CA

International journal of methods in psychiatric research 20170331 4

Frequent, brief and repeated self-administered mobile assessments of cognitive function, conducted in everyday life settings, are a promising complementary tool to traditional assessment approaches. Mobile cognitive assessments promote patient-centered care and might enhance capacity to inform individual-level outcomes over time (i.e. detecting subtle declines in cognitive function), as well as in assessing cognition and its correlates in the naturalistic environment. The goal of this systematic ...[more]

PMID: 28370881

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Project description:Integration of mobile health (mHealth) applications (apps) into chronic lung disease management is becoming increasingly popular. MHealth apps may support adoption of self-management behaviors to assist people in symptoms control and quality of life enhancement. However, mHealth apps' designs, features, and content are inconsistently reported, making it difficult to determine which were the effective components. Therefore, this review aims to summarize the characteristics and features of published mHealth apps for chronic lung diseases. A structured search strategy across five databases (CINAHL, Medline, Embase, Scopus and Cochrane) was performed. Randomized controlled trials investigating interactive mHealth apps in adults with chronic lung disease were included. Screening and full-text reviews were completed by three reviewers using Research Screener and Covidence. Data extraction followed the mHealth Index and Navigation Database (MIND) Evaluation Framework (https://mindapps.org/), a tool designed to help clinicians determine the best mHealth apps to address patients' needs. Over 90,000 articles were screened, with 16 papers included. Fifteen distinct apps were identified, 8 for chronic obstructive pulmonary disease (53%) and 7 for asthma (46%) self-management. Different resources informed app design approaches, accompanied with varying qualities and features across studies. Common reported features included symptom tracking, medication reminders, education, and clinical support. There was insufficient information to answer MIND questions regarding security and privacy, and only five apps had additional publications to support their clinical foundation. Current studies reported designs and features of self-management apps differently. These app design variations create challenges in determining their effectiveness and suitability for chronic lung disease self-management. Registration: PROSPERO (CRD42021260205).Supplementary informationThe online version contains supplementary material available at 10.1007/s13721-023-00419-0.

Project description:BackgroundMobile health (mHealth) apps have gained significant popularity over the last few years due to their tremendous benefits, such as lowering health care costs and increasing patient awareness. However, the sensitivity of health care data makes the security of mHealth apps a serious concern. Poor security practices and lack of security knowledge on the developers' side can cause several vulnerabilities in mHealth apps.ObjectiveIn this review paper, we aimed to identify and analyze the reported challenges concerning security that developers of mHealth apps face. Additionally, our study aimed to develop a conceptual framework with the challenges for developing secure apps faced by mHealth app development organizations. The knowledge of such challenges can help to reduce the risk of developing insecure mHealth apps.MethodsWe followed the systematic literature review method for this review. We selected studies that were published between January 2008 and October 2020 since the major app stores launched in 2008. We selected 32 primary studies using predefined criteria and used a thematic analysis method for analyzing the extracted data.ResultsOf the 1867 articles obtained, 32 were included in this review based on the predefined criteria. We identified 9 challenges that can affect the development of secure mHealth apps. These challenges include lack of security guidelines and regulations for developing secure mHealth apps (20/32, 63%), developers' lack of knowledge and expertise for secure mHealth app development (18/32, 56%), lack of stakeholders' involvement during mHealth app development (6/32, 19%), no/little developer attention towards the security of mHealth apps (5/32, 16%), lack of resources for developing a secure mHealth app (4/32, 13%), project constraints during the mHealth app development process (4/32, 13%), lack of security testing during mHealth app development (4/32, 13%), developers' lack of motivation and ethical considerations (3/32, 9%), and lack of security experts' engagement during mHealth app development (2/32, 6%). Based on our analysis, we have presented a conceptual framework that highlights the correlation between the identified challenges.ConclusionsWhile mHealth app development organizations might overlook security, we conclude that our findings can help them to identify the weaknesses and improve their security practices. Similarly, mHealth app developers can identify the challenges they face to develop mHealth apps that do not pose security risks for users. Our review is a step towards providing insights into the development of secure mHealth apps. Our proposed conceptual framework can act as a practice guideline for practitioners to enhance secure mHealth app development.

Dataset Information

Applications for self-administered mobile cognitive assessments in clinical research: A systematic review.

Publications

Applications for self-administered mobile cognitive assessments in clinical research: A systematic review.

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