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TitleEvaluating mobile phone applications for health behaviour change: A systematic review.
AuthorsMcKay, FH; Cheng, C; Wright, A; Shill, J; Stephens, H; Uccellini, M
JournalJournal of telemedicine and telecare
Publication Date1 Jan 2018
Date Added to PubMed21 Oct 2016
AbstractIntroduction Increasing smartphones access has allowed for increasing development and use of smart phone applications (apps). Mobile health interventions have previously relied on voice or text-based short message services (SMS), however, the increasing availability and ease of use of apps has allowed for significant growth of smartphone apps that can be used for health behaviour change. This review considers the current body of knowledge relating to the evaluation of apps for health behaviour change. The aim of this review is to investigate approaches to the evaluation of health apps to identify any current best practice approaches. Method A systematic review was conducted. Data were collected and analysed in September 2016. Thirty-eight articles were identified and have been included in this review. Results Articles were published between 2011- 2016, and 36 were reviews or evaluations of apps related to one or more health conditions, the remaining two reported on an investigation of the usability of health apps. Studies investigated apps relating to the following areas: alcohol, asthma, breastfeeding, cancer, depression, diabetes, general health and fitness, headaches, heart disease, HIV, hypertension, iron deficiency/anaemia, low vision, mindfulness, obesity, pain, physical activity, smoking, weight management and women's health. Conclusion In order to harness the potential of mobile health apps for behaviour change and health, we need better ways to assess the quality and effectiveness of apps. This review is unable to suggest a single best practice approach to evaluate mobile health apps. Few measures identified in this review included sufficient information or evaluation, leading to potentially incomplete and inaccurate information for consumers seeking the best app for their situation. This is further complicated by a lack of regulation in health promotion generally.
Linkhttp://doi.org/10.1177/1357633X16673538
TitleMethods of usability testing in the development of eHealth applications: A scoping review.
AuthorsMaramba, I; Chatterjee, A; Newman, C
JournalInternational journal of medical informatics
Publication Date1 Jun 2019
Date Added to PubMed29 Apr 2019
AbstractThe number of eHealth applications has exponentially increased in recent years, with over 325,000 health apps now available on all major app stores. This is in addition to other eHealth applications available on other platforms such as PC software, web sites and even gaming consoles. As with other digital applications, usability is one of the key factors in the successful implementation of eHealth apps. Reviews of the literature on empirical methods of usability testing in eHealth were last published in 2015. In the context of an exponentially increasing rate of App development year on year, an updated review is warranted. To identify, explore, and summarize the current methods used in the usability testing of eHealth applications. A scoping review was conducted on literature available from April 2014 up to October 2017. Four databases were searched. Literature was considered for inclusion if it was (1) focused on an eHealth application (which includes websites, PC software, smartphone and tablet applications), (2) provided information about usability of the application, (3) provided empirical results of the usability testing, (4) a full or short paper (not an abstract) published in English after March 2014. We then extracted data pertaining to the usability evaluation processes described in the selected studies. 133 articles met the inclusion criteria. The methods used for usability testing, in decreasing order of frequency were: questionnaires (n = 105), task completion (n = 57), 'Think-Aloud' (n = 45), interviews (n = 37), heuristic testing (n = 18) and focus groups (n = 13). Majority of the studies used one (n = 45) or two (n = 46) methods of testing. The rest used a combination of three (n = 30) or four (n = 12) methods of testing usability. None of the studies used automated mechanisms to test usability. The System Usability Scale (SUS) was the most frequently used questionnaire (n = 44). The ten most frequent health conditions or diseases where eHealth apps were being evaluated for usability were the following: mental health (n = 12), cancer (n = 10), nutrition (n = 10), child health (n = 9), diabetes (n = 9), telemedicine (n = 8), cardiovascular disease (n = 6), HIV (n = 4), health information systems (n = 4) and smoking (n = 4). Further iterations of the app were reported in a minority of the studies (n = 41). The use of the 'Think-Aloud' (Pearson Chi-squared test: χ2 = 11.15, p < 0.05) and heuristic walkthrough (Pearson Chi-squared test: χ2 = 4.48, p < 0.05) were significantly associated with at least one further iteration of the app being developed. Although there has been an exponential increase in the number of eHealth apps, the number of studies that have been published that report the results of usability testing on these apps has not increased at an equivalent rate. The number of digital health applications that publish their usability evaluation results remains only a small fraction. Questionnaires are the most prevalent method of evaluating usability in eHealth applications, which provide an overall measure of usability but do not pinpoint the problems that need to be addressed. Qualitative methods may be more useful in this regard. The use of multiple evaluation methods has increased. Automated methods such as eye tracking have not gained traction in evaluating health apps. Further research is needed into which methods are best suited for the different types of eHealth applications, according to their target users and the health conditions being addressed.
Linkhttp://doi.org/10.1016/j.ijmedinf.2019.03.018
TitleImpact of clinical pharmacist services delivered via telemedicine in the outpatient or ambulatory care setting: A systematic review.
AuthorsNiznik, JD; He, H; Kane-Gill, SL
JournalResearch in social & administrative pharmacy : RSAP
Publication Date1 Aug 2018
Date Added to PubMed5 Nov 2017
AbstractUtilization of telemedicine allows pharmacists to extend the reach of clinical interventions, connecting them with patients and providers, but the overall impact of these services is under-studied. Identify the impact of clinical pharmacist telemedicine interventions on clinical outcomes, subsequently defined as clinical disease management, patient self-management, and adherence, in outpatient or ambulatory settings. A literature search was conducted from database inception through May 2016 in Medline, SCOPUS, and EMBASE. Broad terms "telemedicine", "telehealth", and "telephone" were used in combination with "pharmacist" or "pharmacy" and "telepharmacy". The search and extraction process followed PRISMA guidelines. Results were screened for pharmacist interventions and reviewed to identify studies in outpatient our ambulatory settings. Studies of non-clinical outcomes (i.e. dispensing or product preparation) and with no comparator were excluded. The final studies were categorized by types of outcomes reported: clinical disease management, patient self-management, and adherence. Only 34 studies measured clinical outcomes against a comparator, consistent with the research question. The majority utilized scheduled models of care (n = 29). Telephone was the most common communication method (n = 25). The most utilized interventions were pharmacist-led telephonic clinics (n = 10). Most studies focused on chronic disease management in adults including hypertension, diabetes, anticoagulation, depression, hyperlipidemia, asthma, heart failure, HIV, PTSD, CKD, stroke, COPD and smoking cessation. Twenty-three studies had a positive impact with one reporting negative results. Higher positive impact rate was observed for scheduled (72.4%, 21/29) and continuous (100%, 2/2) models compared to responsive/reactive (25%, 1/4). Clinical pharmacy telemedicine interventions in the outpatient or ambulatory setting, primarily via phone, have an overall positive impact on outcomes related to clinical disease management, patient self-management, and adherence in the management of chronic diseases. Commonalities among studies with positive impact included utilization of continuous or scheduled models via telephone, with frequent monitoring and interventions. Studies identified did not evaluate benefits of video capability over telephone or cost-effectiveness, both of which are useful directions for future study.
Linkhttp://doi.org/10.1016/j.sapharm.2017.10.011
TitleA Missing Link: HIV-/AIDS-Related mHealth Interventions for Health Workers in Low- and Middle-Income Countries.
AuthorsGimbel, S; Kawakyu, N; Dau, H; Unger, JA
JournalCurrent HIV/AIDS reports
Publication Date1 Dec 2018
Date Added to PubMed28 Sep 2018
AbstractThrough a review of the peer-reviewed and gray literature on HIV mobile health (mHealth) tools for health workers and in-depth interviews with mHealth leaders in the field, we provide a synthesis of current work and propose mHealth research priorities for HIV prevention, care, and treatment. Significant investment in implementation research and bringing together researchers capable of identifying drivers of successful implementation and industry leaders capable of bringing efficacious tools to scale are needed to move this area forward. Effective and appropriate technologies to support health systems in the prevention and treatment of HIV/AIDS in low- and middle-income countries are needed to improve the efficiency and quality of health service delivery and ultimately improve health outcomes. Although a growing number of HIV mHealth tools have been developed to support health workers, few of these tools have been rigorously evaluated and even fewer have been brought to scale.
Linkhttp://doi.org/10.1007/s11904-018-0416-x
TitleHealth Behavior Theory to Enhance eHealth Intervention Research in HIV: Rationale and Review.
AuthorsSimoni, JM; Ronen, K; Aunon, FM
JournalCurrent HIV/AIDS reports
Publication Date1 Dec 2018
Date Added to PubMed5 Dec 2018
AbstractOptimal design and evaluation of eHealth interventions requires the specification of behavioral targets and hypothesized mechanisms of action-both of which can be enhanced with the use of established health behavior theories (HBTs). In this paper, we describe the major HBTs and examine their use in studies of eHealth interventions for HIV prevention and treatment and assess the contribution of HBT in developing and evaluating eHealth interventions. Based on our review of the literature, we argue the field can benefit from more systematic selection, application, and reporting of HBT. We highlight theories specifically designed for eHealth and describe ways that HBT can be used by researchers and practitioners to improve the rigor and impact of eHealth interventions for individuals living with or at risk for HIV. This brief overview of HBTs and their application to eHealth intervention in HIV research has underscored the importance of a theoretically intentional approach. The theory should be used to inform the design of the eHealth intervention; the intervention should not determine the theory. A theory-driven iterative model of eHealth intervention development may not only improve our repertoire of effective strategies but also has the potential to expand our theoretical and empirical knowledge of health behavior change.
Linkhttp://doi.org/10.1007/s11904-018-0418-8
TitleDigital health for sexually transmitted infection and HIV services: a global scoping review.
AuthorsCao, B; Bao, H; Oppong, E; Feng, S; Smith, KM; Tucker, JD; Tang, W
JournalCurrent opinion in infectious diseases
Publication Date1 Feb 2020
Date Added to PubMed4 Dec 2019
AbstractThe current study aimed to review how digital health has been used for sexually transmitted infection (STI)/HIV prevention, testing, and treatment. A scoping review was conducted by searching five databases for peer-reviewed literature published between March 2018 to August 2019. 23 out of 258 studies met the inclusion criteria and were assessed. Six studies used digital platform to enhance STI/HIV prevention messaging; four studies found that digital health can provide vivid promotional information and has been instrumental in increasing the accessibility and acceptability of STI/HIV testing; three studies reported digital health provides a channel to understand and interpret the discourses on preexposure prophylaxis (PrEP) and increase PrEP uptake; three studies focused on refining big data algorithms for surveillance; four studies reported on how digital interventions could be used to optimize clinical interventions; and four studies found digital interventions can be used to assist mental health services. Digital health is a powerful and versatile tool that can be utilized in the production of high-quality, innovative strategies on STIs and HIV services. Future studies should consider focusing on strategies and implementations that leverage digital platforms for network-based interventions, in addition to recognizing the norms of individual digital intervention platforms.
Linkhttp://doi.org/10.1097/QCO.0000000000000619
TitleElectronic health, telemedicine, and new paradigms for training and care.
AuthorsTodd, CS; Mills, SJ; Innes, AL
JournalCurrent opinion in HIV and AIDS
Publication Date1 Sep 2017
Date Added to PubMed27 Jun 2017
AbstractHIV prevention and care is changing rapidly; guideline revisions and programmatic scale-up require innovative approaches to in-service training and care extension to improve provider practice and care access. We assessed recent (≤12 months) peer-reviewed publications on electronic health (eHealth), telemedicine, and other innovative provider-targeted interventions for HIV-related care. Key developments included systems merging electronic medical records (EMR) with provider clinical decision aids to prompt action, demonstration eHealth, and telemedicine projects, reviews or descriptions of technology to improve connectivity in lower resource settings, and a few trials on provider-centered interventions. Most publications were program reports and few data were available regarding efficacy of eHealth interventions for providers on patient HIV-related outcomes, notably identification and management of antiretroviral treatment failure in Kenya. Better evidence is needed for strategies to train providers and care extenders with the goal to improve impact of HIV prevention and care interventions. Rapid technology introduction and expansion may change the paradigm for improving provider knowledge and practice. Although new, the developments are promising for HIV provider-targeted eHealth and innovations for traditional training. More rigorous testing with randomized trials is needed to demonstrate impact on services for people living with HIV.
Linkhttp://doi.org/10.1097/COH.0000000000000402
TitleMobile health applications for HIV prevention and care in Africa.
AuthorsForrest, JI; Wiens, M; Kanters, S; Nsanzimana, S; Lester, RT; Mills, EJ
JournalCurrent opinion in HIV and AIDS
Publication Date1 Nov 2015
Date Added to PubMed10 Sep 2015
AbstractMore people have mobile phones in Africa than at any point in history. Mobile health (m-health), the use of mobile phones to support the delivery of health services, has expanded in recent years. Several models have been proposed for conceptualizing m-health in the fields of maternal-child health and chronic diseases. We conducted a literature review of m-health interventions for HIV prevention and care in African countries and present the findings in the context of a simplified framework. Our review identified applications of m-health for HIV prevention and care categorized by the following three themes: patient-care focused applications, such as health behavior change, health system-focused applications, such as reporting and data collection, and population health-focused applications, including HIV awareness and testing campaigns. The potential for m-health in Africa is numerous and should not be limited only to direct patient-care focused applications. Although the use of smart phone technology is on the rise in Africa, text messaging remains the primary mode of delivering m-health interventions. The rate at which mobile phone technologies are being adopted may outpace the rate of evaluation. Other methods of evaluation should be considered beyond only randomized-controlled trials.
Linkhttp://doi.org/10.1097/COH.0000000000000198
TitleScoping review and evaluation of SMS/text messaging platforms for mHealth projects or clinical interventions.
AuthorsIribarren, SJ; Brown, W; Giguere, R; Stone, P; Schnall, R; Staggers, N; Carballo-Diéguez, A
JournalInternational journal of medical informatics
Publication Date1 May 2017
Date Added to PubMed30 Mar 2017
AbstractMobile technology supporting text messaging interventions (TMIs) continues to evolve, presenting challenges for researchers and healthcare professionals who need to choose software solutions to best meet their program needs. The objective of this review was to systematically identify and compare text messaging platforms and to summarize their advantages and disadvantages as described in peer-reviewed literature. A scoping review was conducted using four steps: 1) identify currently available platforms through online searches and in mHealth repositories; 2) expand evaluation criteria of an mHealth mobile messaging toolkit and integrate prior user experiences as researchers; 3) evaluate each platform's functions and features based on the expanded criteria and a vendor survey; and 4) assess the documentation of platform use in the peer-review literature. Platforms meeting inclusion criteria were assessed independently by three reviewers and discussed until consensus was reached. The PRISMA guidelines were followed to report findings. Of the 1041 potentially relevant search results, 27 platforms met inclusion criteria. Most were excluded because they were not platforms (e.g., guides, toolkits, reports, or SMS gateways). Of the 27 platforms, only 12 were identified in existing mHealth repositories, 10 from Google searches, while five were found in both. The expanded evaluation criteria included 22 items. Results indicate no uniform presentation of platform features and functions, often making these difficult to discern. Fourteen of the platforms were reported as open source, 10 focused on health care and 16 were tailored to meet needs of low resource settings (not mutually exclusive). Fifteen platforms had do-it-yourself setup (programming not required) while the remainder required coding/programming skills or setups could be built to specification by the vendor. Frequently described features included data security and access to the platform via cloud-based systems. Pay structures and reported targeted end-users varied. Peer-reviewed publications listed only 6 of the 27 platforms across 21 publications. The majority of these articles reported the name of the platform used but did not describe advantages or disadvantages. Searching for and comparing mHealth platforms for TMIs remains a challenge. The results of this review can serve as a resource for researchers and healthcare professionals wanting to integrate TMIs into health interventions. Steps to identify, compare and assess advantages and disadvantages are outlined for consideration. Expanded evaluation criteria can be used by future researchers. Continued and more comprehensive platform tools should be integrated into mHealth repositories. Detailed descriptions of platform advantages and disadvantages are needed when mHealth researchers publish findings to expand the body of research on TMI tools for healthcare. Standardized descriptions and features are recommended for vendor sites.
Linkhttp://doi.org/10.1016/j.ijmedinf.2017.01.017
TitleOpportunities and Challenges of Digital Technology for HIV Treatment and Prevention.
AuthorsSimoni, JM; Kutner, BA; Horvath, KJ
JournalCurrent HIV/AIDS reports
Publication Date1 Dec 2015
Date Added to PubMed29 Sep 2015
AbstractNovel eHealth interventions are creating exciting opportunities for health promotion along the continuum of HIV care and prevention. Reviews of recent work indicate the use of multiple platforms (e.g., smartphones, social media), with trends toward individualized approaches and real-time assessments. However, the field needs more rigorous investigations to provide evidence of long-term impact on clinical indicators and should expand its targets beyond men who have sex with men and medication adherence. Challenges to the field include working within restricted funding timelines and disseminating eHealth interventions to those most in need.
Linkhttp://doi.org/10.1007/s11904-015-0289-1
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