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E-health, mobile health, mhealth

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https://www.readbyqxmd.com/read/28622034/the-experiences-of-newly-diagnosed-men-who-have-sex-with-men-entering-the-hiv-care-cascade-in-lima-peru-2015-2016-a-qualitative-analysis-of-counselor-participant-text-message-exchanges
#1
Erik Bayona, Luis Menacho, Eddy R Segura, Gitau Mburu, Fernando Roman, Consuelo Tristan, Elizabeth Bromley, Robinson Cabello
Mobile phone technology (mHealth) is a promising tool that has been used to improve HIV care in high-risk populations worldwide. Understanding patient perspectives of newly diagnosed men who have sex with men (MSM) in Lima, Peru during linkage and engagement in the HIV care continuum can help close the gaps in care following initial HIV diagnosis and ensure retention in continuous care. From June 2015 to March 2016, as part of a randomized controlled trial, 40 MSM participants were linked to care with an mHealth intervention within 3 months of HIV diagnosis at Via Libre clinic...
June 2017: Cyberpsychology, Behavior and Social Networking
https://www.readbyqxmd.com/read/28615159/mobile-health-in-oncology-a-patient-survey-about-app-assisted-cancer-care
#2
Kerstin Anne Kessel, Marco Me Vogel, Carmen Kessel, Henning Bier, Tilo Biedermann, Helmut Friess, Peter Herschbach, Rüdiger von Eisenhart-Rothe, Bernhard Meyer, Marion Kiechle, Ulrich Keller, Christian Peschel, Roland M Schmid, Stephanie E Combs
BACKGROUND: In the last decade, the health care sector has been enriched by numerous innovations such as apps and connected devices that assist users in weight reduction and diabetes management. However, only a few native apps in the oncological context exist, which support patients during treatment and aftercare. OBJECTIVE: The objective of this study was to analyze patients' acceptance regarding app use and to investigate the functions of an oncological app that are most required, and the primary reasons for patients to refuse app-assisted cancer care...
June 14, 2017: JMIR MHealth and UHealth
https://www.readbyqxmd.com/read/28561647/social-media-and-mobile-technology-for-cancer-prevention-and-treatment
#3
Judith J Prochaska, Steven S Coughlin, Elizabeth J Lyons
Given the number of lives affected by cancer and the great potential for optimizing well-being via lifestyle changes, patients, providers, health care systems, advocacy groups, and entrepreneurs are looking to digital solutions to enhance patient care and broaden prevention efforts. Thousands of health-oriented mobile websites and apps have been developed, with a majority focused upon lifestyle behaviors (e.g., exercise, diet, smoking). In this review, we consider the use and potential of social media and mHealth technologies for cancer prevention, cancer treatment, and survivorship...
2017: American Society of Clinical Oncology Educational Book
https://www.readbyqxmd.com/read/28476273/treatment-seeking-as-a-mechanism-of-change-in-a-randomized-controlled-trial-of-a-mobile-health-intervention-to-support-recovery-from-alcohol-use-disorders
#4
Joseph E Glass, James R McKay, David H Gustafson, Rachel Kornfield, Paul J Rathouz, Fiona M McTavish, Amy K Atwood, Andrew Isham, Andrew Quanbeck, Dhavan Shah
BACKGROUND: We estimated the efficacy of the Addiction-Comprehensive Health Enhancement Support System (A-CHESS) in increasing the use of services for addiction and examined the extent to which this use of services mediated the effects of A-CHESS on risky drinking days and abstinence from drinking. METHODS: We conducted secondary data analyses of the A-CHESS randomized controlled trial. Recruitment occurred in five residential treatment programs operated by two addiction treatment organizations...
June 2017: Journal of Substance Abuse Treatment
https://www.readbyqxmd.com/read/28471699/systematic-review-and-meta-analysis-examining-the-effectiveness-of-mobile-health-technologies-in-using-self-monitoring-for-pediatric-weight-management
#5
Katherine E Darling, Amy F Sato
BACKGROUND: Pediatric obesity is a public health concern related to multiple negative physical and psychosocial problems. While behavioral weight control (BWC) interventions are generally effective in decreasing pediatric weight status, these interventions are not able to reach the third of U.S. children currently classified as overweight or obese. METHOD: This review and meta-analysis examined the overall effectiveness of mobile health (mHealth) technologies employing self-monitoring, a central component of change within BWC, to decrease pediatric weight status...
May 4, 2017: Childhood Obesity
https://www.readbyqxmd.com/read/28428734/defining-a-staged-based-process-for-economic-and-financial-evaluations-of-mhealth-programs
#6
Amnesty E LeFevre, Samuel D Shillcutt, Sean Broomhead, Alain B Labrique, Tom Jones
Mobile and wireless technology for health (mHealth) has the potential to improve health outcomes by addressing critical health systems constraints that impede coverage, utilization, and effectiveness of health services. To date, few mHealth programs have been implemented at scale and there remains a paucity of evidence on their effectiveness and value for money. This paper aims to improve understanding among mHealth program managers and key stakeholders of how to select methods for economic evaluation (comparative analysis for determining value for money) and financial evaluation (determination of the cost of implementing an intervention, estimation of costs for sustaining or expanding an intervention, and assessment of its affordability)...
2017: Cost Effectiveness and Resource Allocation: C/E
https://www.readbyqxmd.com/read/28428167/developing-a-patient-centered-mhealth-app-a-tool-for-adolescents-with-type-1-diabetes-and-their-parents
#7
Bree E Holtz, Katharine M Murray, Denise D Hershey, Julie K Dunneback, Shelia R Cotten, Amanda J Holmstrom, Arpita Vyas, Molly K Kaiser, Michael A Wood
BACKGROUND: Type 1 diabetes (T1D) afflicts approximately 154,000 people under 20 years of age. Three-quarters of adolescents are not achieving glycosylated hemoglobin (HbA1c) targets, which leads to negative health outcomes. Mobile health (mHealth), the use of technology in health, has been used successfully to improve health in many chronic conditions, including diabetes. OBJECTIVE: The purpose of this study was to use patient-centered research methods to inform and improve the design and functionality of our T1D app, MyT1DHero, and to provide insight for others who are designing a health app for adolescents and parents...
April 19, 2017: JMIR MHealth and UHealth
https://www.readbyqxmd.com/read/28421356/the-technology-acceptance-model-for-resource-limited-settings-tam-rls-a-novel-framework-for-mobile-health-interventions-targeted-to-low-literacy-end-users-in-resource-limited-settings
#8
Jeffrey I Campbell, Isaac Aturinda, Evans Mwesigwa, Bridget Burns, Data Santorino, Jessica E Haberer, David R Bangsberg, Richard J Holden, Norma C Ware, Mark J Siedner
Although mobile health (mHealth) technologies have shown promise in improving clinical care in resource-limited settings (RLS), they are infrequently brought to scale. One limitation to the success of many mHealth interventions is inattention to end-user acceptability, which is an important predictor of technology adoption. We conducted in-depth interviews with 43 people living with HIV in rural Uganda who had participated in a clinical trial of a short messaging system (SMS)-based intervention designed to prompt return to clinic after an abnormal laboratory test...
April 18, 2017: AIDS and Behavior
https://www.readbyqxmd.com/read/28400354/usability-of-a-novel-mobile-health-ipad-app-by-vulnerable-populations
#9
David P Miller, Kathryn E Weaver, L Doug Case, Donald Babcock, Donna Lawler, Nancy Denizard-Thompson, Michael P Pignone, John G Spangler
BACKGROUND: Recent advances in mobile technologies have created new opportunities to reach broadly into populations that are vulnerable to health disparities. However, mobile health (mHealth) strategies could paradoxically increase health disparities, if low socioeconomic status individuals lack the technical or literacy skills needed to navigate mHealth programs. OBJECTIVE: The aim of this study was to determine whether patients from vulnerable populations could successfully navigate and complete an mHealth patient decision aid...
April 11, 2017: JMIR MHealth and UHealth
https://www.readbyqxmd.com/read/28372580/the-effect-of-a-clinical-decision-making-mhealth-support-system-on-maternal-and-neonatal-mortality-and-morbidity-in-ghana-study-protocol-for-a-cluster-randomized-controlled-trial
#10
Hannah Brown Amoakoh, Kerstin Klipstein-Grobusch, Mary Amoakoh-Coleman, Irene Akua Agyepong, Gbenga A Kayode, Charity Sarpong, Diederick E Grobbee, Evelyn K Ansah
BACKGROUND: Mobile health (mHealth) presents one of the potential solutions to maximize health worker impact and efficiency in an effort to reach the Sustainable Development Goals 3.1 and 3.2, particularly in sub-Saharan African countries. Poor-quality clinical decision-making is known to be associated with poor pregnancy and birth outcomes. This study aims to assess the effect of a clinical decision-making support system (CDMSS) directed at frontline health care providers on neonatal and maternal health outcomes...
April 4, 2017: Trials
https://www.readbyqxmd.com/read/28366789/envisioning-the-future-of-big-data-biomedicine
#11
Alex A T Bui, John Darrell Van Horn
In our era of digital biomedicine, data take many forms, from "omics" to imaging, mobile health (mHealth), and electronic health records (EHRs). With the availability of more efficient digital collection methods, scientists in many domains now find themselves confronting ever larger sets of data and trying to make sense of it all (1-4). Indeed, data which used to be considered large now seems small as the amount of data now being collected in a single day by an investigator can surpass what might have been generated over his/her career even a decade ago (e...
March 30, 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28348978/mhealth-and-application-technology-supporting-clinical-trials-today-s-limitations-and-future-perspective-of-smartrcts
#12
Marco M E Vogel, Stephanie E Combs, Kerstin A Kessel
Nowadays, applications (apps) for smartphones and tablets have become indispensable especially for young generations. The estimated number of mobile devices will exceed 2.16 billion in 2016. Over 2.2 million apps are available in the Google Play store(®), and about 1.8 million apps are available in the Apple App Store(®). Google and Apple distribute nearly 70,000 apps each in the category Health and Fitness, and about 33,000 and 46,000 each in medical apps. It seems like the willingness to use mHealth apps is high and the intention to share data for health research is existing...
2017: Frontiers in Oncology
https://www.readbyqxmd.com/read/28347445/scoping-review-and-evaluation-of-sms-text-messaging-platforms-for-mhealth-projects-or-clinical-interventions
#13
Sarah J Iribarren, William Brown, Rebecca Giguere, Patricia Stone, Rebecca Schnall, Nancy Staggers, Alex Carballo-Diéguez
OBJECTIVES: Mobile 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. METHODS: 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...
May 2017: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/28333297/effect-of-adding-a-mobile-health-intervention-to-a-multimodal-antimicrobial-stewardship-programme-across-three-teaching-hospitals-an-interrupted-time-series-study
#14
E Charani, M Gharbi, L S P Moore, E Castro-Sanchéz, W Lawson, M Gilchrist, A H Holmes
Objectives: To evaluate the impact of adding a mobile health (mHealth) decision support system for antibiotic prescribing to an established antimicrobial stewardship programme (ASP). Methods: In August 2011, the antimicrobial prescribing policy was converted into a mobile application (app). A segmented regression analysis of interrupted time series was used to assess the impact of the app on prescribing indicators, using data (2008-14) from a biannual point prevalence survey of medical and surgical wards...
June 1, 2017: Journal of Antimicrobial Chemotherapy
https://www.readbyqxmd.com/read/28323546/understanding-the-relationships-between-mhealth-apps-characteristics-trialability-and-mhealth-literacy
#15
Trisha T C Lin, John Robert Bautista
The widespread adoption of mobile phones has increased the potential of mHealth to improve health communication and health outcomes because these devices could serve as a ubiquitous and affordable means to disseminate health information to large populations. Given that mHealth apps offer free or limited trials as part of promotional strategies, potential users' trialability is a critical step of the preadoption process. Drawing from Rogers' diffusion of innovation theory, this study examines the relationships of adopters' perceived characteristics of mHealth apps (i...
March 21, 2017: Journal of Health Communication
https://www.readbyqxmd.com/read/28278352/mobile-phone-based-interactive-voice-response-as-a-tool-for-improving-access-to-healthcare-in-remote-areas-in-ghana-an-evaluation-of-user-experiences
#16
J Brinkel, J May, R Krumkamp, M Lamshöft, B Kreuels, E Owusu-Dabo, A Mohammed, A Bonacic Marinovic, P Dako-Gyeke, A Krämer, J N Fobil
OBJECTIVES: To investigate and determine the factors that enhanced or constituted barriers to the acceptance of an mHealth system which was piloted in Asante-Akim North District of Ghana to support healthcare of children. METHODS: Four semi-structured focus group discussions were conducted with a total of 37 mothers. Participants were selected from a study population of mothers who subscribed to a pilot mHealth system which used an interactive voice response (IVR) for its operations...
March 9, 2017: Tropical Medicine & International Health: TM & IH
https://www.readbyqxmd.com/read/28264792/enhancing-mhealth-technology-in-the-patient-centered-medical-home-environment-to-activate-patients-with-type-2-diabetes-a-multisite-feasibility-study-protocol
#17
Ronald Gimbel, Lu Shi, Joel E Williams, Cheryl J Dye, Liwei Chen, Paul Crawford, Eric A Shry, Sarah F Griffin, Karyn O Jones, Windsor W Sherrill, Khoa Truong, Jeanette R Little, Karen W Edwards, Marie Hing, Jennie B Moss
BACKGROUND: The potential of mHealth technologies in the care of patients with diabetes and other chronic conditions has captured the attention of clinicians and researchers. Efforts to date have incorporated a variety of tools and techniques, including Web-based portals, short message service (SMS) text messaging, remote collection of biometric data, electronic coaching, electronic-based health education, secure email communication between visits, and electronic collection of lifestyle and quality-of-life surveys...
March 6, 2017: JMIR Research Protocols
https://www.readbyqxmd.com/read/28243807/using-mobile-health-mhealth-technology-in-the-management-of-diabetes-mellitus-physical-inactivity-and-smoking
#18
REVIEW
Hasan Rehman, Ayeesha K Kamal, Saleem Sayani, Pamela B Morris, Anwar T Merchant, Salim S Virani
PURPOSE OF REVIEW: Cardiovascular mortality remains high due to insufficient progress made in managing cardiovascular risk factors such as diabetes mellitus, physical inactivity, and smoking. Healthy lifestyle choices play an important role in the management of these modifiable risk factors. Mobile health or mHealth is defined as the use of mobile computing and communication technologies (i.e., mobile phones, wearable sensors) for the delivery of health services and health-related information...
April 2017: Current Atherosclerosis Reports
https://www.readbyqxmd.com/read/28223262/factors-associated-with-dropout-during-recruitment-and-follow-up-periods-of-a-mhealth-based-randomized-controlled-trial-for-mobile-net-to-encourage-treatment-adherence-for-people-with-serious-mental-health-problems
#19
Kati Anneli Kannisto, Joonas Korhonen, Clive E Adams, Marita Hannele Koivunen, Tero Vahlberg, Maritta Anneli Välimäki
BACKGROUND: Clinical trials are the gold standard of evidence-based practice. Still many papers inadequately report methodology in randomized controlled trials (RCTs), particularly for mHealth interventions for people with serious mental health problems. To ensure robust enough evidence, it is important to understand which study phases are the most vulnerable in the field of mental health care. OBJECTIVE: We mapped the recruitment and the trial follow-up periods of participants to provide a picture of the dropout predictors from a mHealth-based trial...
February 21, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28220604/a-mobile-health-intervention-promoting-healthy-gestational-weight-gain-for-women-entering-pregnancy-at-a-high-body-mass-index-the-txt4two-pilot-randomised-controlled-trial
#20
J C Willcox, S A Wilkinson, M Lappas, K Ball, D Crawford, E A McCarthy, B Fjeldsoe, R Whittaker, R Maddison, K J Campbell
OBJECTIVE: To determine the feasibility and effectiveness of an mHealth intervention promoting healthy diet, physical activity and gestational weight gain in pregnant women. DESIGN: Randomised controlled trial (RCT). SETTING: Australian tertiary obstetric hospital. POPULATION: One hundred pregnant women who were overweight or obese prior to pregnancy. METHODS: Women recruited at the first antenatal clinic visit were randomised to either an intervention or a control group...
February 20, 2017: BJOG: An International Journal of Obstetrics and Gynaecology
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