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315 result(s) for 'telehealth' within BMC Medical Informatics and Decision Making

Page 4 of 7

  1. A number of resources, every year, being spent to tackle early detection of cardiac abnormalities which is one of the leading causes of deaths all over the Globe. The challenges for healthcare systems includes...

    Authors: Muhammad Shabaan, Kaleem Arshid, Muhammad Yaqub, Feng Jinchao, M. Sultan Zia, Giridhar Reddy Bojja, Muazzam Iftikhar, Usman Ghani, Loknath Sai Ambati and Rizwan Munir
    Citation: BMC Medical Informatics and Decision Making 2020 20:177

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2020 20:217

  2. Despite the growing evidence of the benefits of physical activity (PA) in individuals with rheumatoid arthritis (RA), the majority is not physically active enough. An innovative strategy is to engage lead user...

    Authors: Åsa Revenäs, Christina H Opava and Pernilla Åsenlöf
    Citation: BMC Medical Informatics and Decision Making 2014 14:21
  3. IgA nephropathy (IgAN) is a common type of chronic immune-mediated kidney disease with variable risk of progression to end-stage kidney disease. Risk stratification helps clinicians weight the potential risks ...

    Authors: Anna R. Gagliardi, Heather N. Reich, Daniel C. Cattran and Sean J. Barbour
    Citation: BMC Medical Informatics and Decision Making 2020 20:231
  4. This article investigates the research problem of digital solutions to overcome the pandemic, more closely examining the limited effectiveness and scope of the governmental COVID-19 tracing apps, using the Ger...

    Authors: Alina Behne, Nicolai Krüger, Jan Heinrich Beinke and Frank Teuteberg
    Citation: BMC Medical Informatics and Decision Making 2021 21:238
  5. Many healthcare professionals use smartphones and tablets to inform patient care. Contemporary research suggests that handheld computers may support aspects of clinical diagnosis and management. This systemati...

    Authors: Sharon Mickan, Helen Atherton, Nia Wyn Roberts, Carl Heneghan and Julie K Tilson
    Citation: BMC Medical Informatics and Decision Making 2014 14:56
  6. In recent years, a significant change has taken place in the health care delivery systems due to the availability of smartphones and mobile software applications. The use of mobile technology can help to reduc...

    Authors: P. Pokhrel, R. Karmacharya, T. Taylor Salisbury, K. Carswell, B. A. Kohrt, M. J. D. Jordans, H. Lempp, G. Thornicroft and N. P. Luitel
    Citation: BMC Medical Informatics and Decision Making 2021 21:21
  7. Recent studies increasingly examine social support for diabetes self-management delivered via mHealth. In contrast to previous studies examining social support as an outcome of technology use, or technology as...

    Authors: Nicola Brew-Sam, Arul Chib and Constanze Rossmann
    Citation: BMC Medical Informatics and Decision Making 2020 20:151
  8. To design and test a web-based self-management tool for patients with type 2 diabetes for its usability and feasibility.

    Authors: Catherine H Yu, Janet A Parsons, Susan Hall, David Newton, Aleksandra Jovicic, Danielle Lottridge, Baiju R Shah and Sharon E Straus
    Citation: BMC Medical Informatics and Decision Making 2014 14:60
  9. Passive sensor data from mobile devices can shed light on daily activities, social behavior, and maternal-child interactions to improve maternal and child health services including mental healthcare. We assess...

    Authors: Sujen Man Maharjan, Anubhuti Poudyal, Alastair van Heerden, Prabin Byanjankar, Ada Thapa, Celia Islam, Brandon A. Kohrt and Ashley Hagaman
    Citation: BMC Medical Informatics and Decision Making 2021 21:117
  10. Information technology (IT) plays an important role in nursing practice. Hence, nurses’ experiences and viewpoints about IT integration into healthcare help improve nurses’ adoption of IT. This study aimed to ...

    Authors: Jamileh Farokhzadian, Reza Khajouei, Arie Hasman and Leila Ahmadian
    Citation: BMC Medical Informatics and Decision Making 2020 20:240
  11. Social networking sites such as Facebook® can contribute to health promotion and behaviour change activities, but are currently underused for this purpose. In Germany, health insurance companies are relevant p...

    Authors: Julika Loss and Charlotte von Uslar
    Citation: BMC Medical Informatics and Decision Making 2021 21:64
  12. The use of telemedicine in acute stroke care can facilitate rapid access to treatment, but the work required to embed any new technology into routine practice is often hidden, and can be challenging. We aimed ...

    Authors: Beverley French, Elaine Day, Caroline Watkins, Alison McLoughlin, Jane Fitzgerald, Michael Leathley, Paul Davies, Hedley Emsley, Gary Ford, Damian Jenkinson, Carl May, Mark O’Donnell, Christopher Price, Christopher Sutton and Catherine Lightbody
    Citation: BMC Medical Informatics and Decision Making 2013 13:125
  13. Management of diabetes mellitus is complex and involves controlling multiple risk factors that may lead to complications. Given that patients provide most of their own diabetes care, patient self-management tr...

    Authors: Catherine H Yu, Janet A Parsons, Muhammad Mamdani, Gerald Lebovic, Susan Hall, David Newton, Baiju R Shah, Onil Bhattacharyya, Andreas Laupacis and Sharon E Straus
    Citation: BMC Medical Informatics and Decision Making 2014 14:117
  14. Preconception care may be an efficacious tool to reduce risk factors for adverse pregnancy outcomes that are associated with lifestyles and health status before pregnancy. We conducted a web-based cohort study...

    Authors: Eleonora Agricola, Elisabetta Pandolfi, Michaela V Gonfiantini, Francesco Gesualdo, Mariateresa Romano, Emanuela Carloni, Pierpaolo Mastroiacovo and Alberto E Tozzi
    Citation: BMC Medical Informatics and Decision Making 2014 14:33
  15. In sub-Saharan Africa, the material and human capacity to diagnose patients reporting with fever to healthcare providers is largely insufficient. Febrile patients are typically treated presumptively with antim...

    Authors: Shannen M. C. van Duijn, Angela K. Siteyi, Sherzel Smith, Emmanuel Milimo, Leon Stijvers, Monica Oguttu, Michael O. Amollo, Edward O. Okeyo, Lilyana Dayo, Titus Kwambai, Dickens Onyango and Tobias F. Rinke de Wit
    Citation: BMC Medical Informatics and Decision Making 2021 21:233
  16. Infectious diseases that can cause epidemics, such as COVID-19, SARS-CoV, and MERS-CoV, constitute a major social issue, with healthcare providers fearing secondary, tertiary, and even quaternary infections. T...

    Authors: Dong-won Kim, Jin-young Choi and Keun-hee Han
    Citation: BMC Medical Informatics and Decision Making 2020 20:106
  17. Medication adherence is critical for patient treatment. This study involved evaluating how implementing Short Message Service (SMS) reminders affected patient medication adherence and related factors.

    Authors: Hsiu-Ling Huang, Yu-Chuan Jack Li, Yueh-Ching Chou, Yow-Wen Hsieh, Frank Kuo, Wen-Chen Tsai, Sinkuo Daniel Chai, Blossom Yen-Ju Lin, Pei-Tseng Kung and Chia-Jung Chuang
    Citation: BMC Medical Informatics and Decision Making 2013 13:127
  18. The Thai medical application for patient triage, namely Triagist, is an mHealth application designed to support the pre-hospital process. However, since the functions of the application that are necessary for ...

    Authors: Acrapol Nimmolrat, Krongkarn Sutham and Orawit Thinnukool
    Citation: BMC Medical Informatics and Decision Making 2021 21:68
  19. Numerous mobile applications have been developed to support diabetes-self-management. However, the majority of these applications lack a theoretical foundation and the involvement of people with diabetes durin...

    Authors: Mira Petersen and Nana F. Hempler
    Citation: BMC Medical Informatics and Decision Making 2017 17:91

    The Erratum to this article has been published in BMC Medical Informatics and Decision Making 2017 17:133

  20. Delirium is a common medical condition with a high prevalence in hospital settings. Effective delirium management requires a multi-component intervention, including the use of Interprofessional teams and evide...

    Authors: Melvyn Zhang, Kathleen Bingham, Karin Kantarovich, Jennifer Laidlaw, David Urbach, Sanjeev Sockalingam and Roger Ho
    Citation: BMC Medical Informatics and Decision Making 2016 16:50
  21. Spatial epidemiological analyses primarily depend on spatially-indexed medical records. Some countries have devised ways of capturing patient-specific spatial details using ZIP codes, postcodes or personal num...

    Authors: Augustus Aturinde, Nakasi Rose, Mahdi Farnaghi, Gilbert Maiga, Petter Pilesjö and Ali Mansourian
    Citation: BMC Medical Informatics and Decision Making 2019 19:215
  22. Obstructive sleep apnea (OSA) is a sleep disorder with a high prevalence in China. Standard diagnosis of OSA requires polysomnography (PSG). Currently, smart phone applications (apps) are widely used as an imp...

    Authors: Zhao-feng Xu, Xin Luo, Jianbo Shi and Yinyan Lai
    Citation: BMC Medical Informatics and Decision Making 2019 19:224
  23. Developing a stroke health-education mobile app (SHEMA) and examining its effectiveness on improvement of knowledge of stroke risk factors and health-related quality of life (HRQOL) in patients with stroke.

    Authors: Yi-No Kang, Hsiu-Nien Shen, Chia-Yun Lin, Glyn Elwyn, Szu-Chi Huang, Tsung-Fu Wu and Wen-Hsuan Hou
    Citation: BMC Medical Informatics and Decision Making 2019 19:282
  24. Poor adherence compromises medication treatment effectiveness which results in suboptimal illness control. This can lead to increased use of healthcare services, reduction in patients’ quality of life and incr...

    Authors: Bereket Senay, Kassahun Dessie Gashu, Adamu Takele Jemere and Zeleke Abebaw Mekonnen
    Citation: BMC Medical Informatics and Decision Making 2019 19:109
  25. Health research apps often do not focus on usability as a design priority. This is problematic when the population of interest is disproportionately underrepresented as users of mobile apps, especially observe...

    Authors: Y. Quintana, D. Fahy, A. M. Abdelfattah, J. Henao and C. Safran
    Citation: BMC Medical Informatics and Decision Making 2019 19:181
  26. Electronic health records (EHRs) are considered as a powerful lever for enabling value-based health systems. However, many challenges to their use persist and some of their unintended negative impacts are incr...

    Authors: Hassane Alami, Pascale Lehoux, Marie-Pierre Gagnon, Jean-Paul Fortin, Richard Fleet and Mohamed Ali Ag Ahmed
    Citation: BMC Medical Informatics and Decision Making 2020 20:32
  27. Enabling patients to be active users of their own medical records may promote the delivery of safe, efficient care across settings. Patients are rarely involved in designing digital health record systems which...

    Authors: Leigh R. Warren, Matthew Harrison, Sonal Arora and Ara Darzi
    Citation: BMC Medical Informatics and Decision Making 2019 19:250
  28. In Bangladesh, similar to its other South Asian counterparts, shortage of health workers along with inadequate infrastructure constitute some of the major obstacles for the equitable provision of reproductive ...

    Authors: Ghose Bishwajit, Md. Rakibul Hoque and Sanni Yaya
    Citation: BMC Medical Informatics and Decision Making 2017 17:182
  29. Colorectal cancer incidence and mortality have been increasing in China and as one of the most important health problems facing the nation. Adequate dissemination of correct information about colorectal cancer...

    Authors: Shun Zhang, Yao Yang, Dongyi Yan, Biao Yuan, Xiaohua Jiang and Chun Song
    Citation: BMC Medical Informatics and Decision Making 2018 18:129
  30. Chlamydia is the most common reportable sexually transmitted disease (STD) in Norway, and its incidence in the two northernmost counties has been disclosed to be nearly the double of the Norwegian average. The...

    Authors: Elia Gabarron, J Artur Serrano, Luis Fernandez-Luque, Rolf Wynn and Thomas Schopf
    Citation: BMC Medical Informatics and Decision Making 2015 15:23
  31. Diabetes education together with patient empowerment has shown to be key to effective self-management behavior. When delivered through information and communication technologies (ICT), this solution has shown ...

    Authors: Sarah Mantwill, Maddalena Fiordelli, Ramona Ludolph and Peter J Schulz
    Citation: BMC Medical Informatics and Decision Making 2015 15:18
  32. Information and communication technologies have become a vital infrastructural asset for use in the retention of rural health workers. However, little is known about the potential influence of ICT use, percept...

    Authors: Walter Onen Yagos, Geoffrey Tabo Olok and Emilio Ovuga
    Citation: BMC Medical Informatics and Decision Making 2017 17:6
  33. The penetration level of mobile technology has grown exponentially and is part of our lifestyle, at all levels. The use of the smartphone has opened up a new horizon of possibilities in the treatment of health...

    Authors: A. Hernández-Reyes, G. Molina-Recio, R. Molina-Luque, M. Romero-Saldaña, F. Cámara-Martos and R. Moreno-Rojas
    Citation: BMC Medical Informatics and Decision Making 2020 20:40
  34. Trials often struggle to achieve their target sample size with only half doing so. Some researchers have turned to Electronic Health Records (EHRs), seeking a more efficient way of recruitment. The Scottish He...

    Authors: Wen Shi, Tom Kelsey and Frank Sullivan
    Citation: BMC Medical Informatics and Decision Making 2020 20:70
  35. Web-based interventions for smoking cessation available in Portuguese do not adhere to evidence-based treatment guidelines. Besides, all existing web-based interventions are built on proprietary platforms that...

    Authors: H. P. Gomide, H. S. Bernardino, K. Richter, L. F. Martins and T. M. Ronzani
    Citation: BMC Medical Informatics and Decision Making 2016 16:103
  36. Mobile phone technology is utilized for better delivery of health services worldwide. In low-and-middle income countries mobile phones are now ubiquitous. Thus leveraging mHealth applications in health sector ...

    Authors: Ramkrishnan Balakrishnan, Vijayaprasad Gopichandran, Sharadprakash Chaturvedi, Rahul Chatterjee, Tanmay Mahapatra and Indrajit Chaudhuri
    Citation: BMC Medical Informatics and Decision Making 2016 16:84
  37. Readmission rates for patients with heart failure (HF) remain high. Many efforts to identify patients at high risk for readmission focus on patient demographics or on measures taken in the hospital. We evaluat...

    Authors: Shelby Inouye, Vasileios Bouras, Eric Shouldis, Adam Johnstone, Zachary Silverzweig and Pallav Kosuri
    Citation: BMC Medical Informatics and Decision Making 2015 15:22
  38. There is limited information in Mexico - a middle-income country and a digital adopter with an important demographic bonus - regarding the potential use of technology and connectivity in health promotion among...

    Authors: Arturo Aguilar-Ye, Hortensia Reyes-Morales, Lourdes Campero and Nicéforo Garnelo-Bibiano
    Citation: BMC Medical Informatics and Decision Making 2019 19:225
  39. Home monitoring of urine protein is a critical component of disease management in childhood nephrotic syndrome. We describe the development of a novel mobile application, UrApp – Nephrotic Syndrome Manager, to...

    Authors: Chia-shi Wang, Richard Boyd, Russell Mitchell, W. Darryl Wright, Courtney McCracken, Cam Escoffery, Rachel E. Patzer and Larry A. Greenbaum
    Citation: BMC Medical Informatics and Decision Making 2019 19:105
  40. The market for Connected Health Devices (CHD) with healthcare applications is growing fast and should be worth several billion euros in turnover in the coming years. Their development will completely transform...

    Authors: Francois-André Allaert, Noël-Jean Mazen, Louis Legrand and Catherine Quantin
    Citation: BMC Medical Informatics and Decision Making 2017 17:10
  41. Despite recommendations, many middle-age adults neglect to check their blood cholesterol levels. Short message service (SMS, also known as texting) has been seldom studied for preventive education. We estimate...

    Authors: Saeed Sadeghian, Mohsen Shams, Zahra Alipour, Soheil Saadat, Reza Hamidian and Maryam Shahrzad
    Citation: BMC Medical Informatics and Decision Making 2017 17:32
  42. Mobile phones and personal digital assistants have been used for data collection in developing world settings for over three decades, and have become increasingly common. However, the use of electronic data ca...

    Authors: Avi Kenny, Nicholas Gordon, Jordan Downey, Owen Eddins, Kathleen Buchholz, Alvin Menyon and William Mansah
    Citation: BMC Medical Informatics and Decision Making 2020 20:39
  43. An essential element in the treatment of patients with chronic obstructive pulmonary disease (COPD) is rehabilitation, of which supervised training is an important part. However, not all individuals with sever...

    Authors: Lisbeth Rosenbek Minet, Line Willads Hansen, Claus Duedal Pedersen, Ingrid Louise Titlestad, Jette Krøjgaard Christensen, Kristian Kidholm, Kathrine Rayce, Alison Bowes and Lilian Møllegård
    Citation: BMC Medical Informatics and Decision Making 2015 15:3
  44. Targeted client communication (TCC) using text messages can inform, motivate and remind pregnant and postpartum women of timely utilization of care. The mixed results of the effectiveness of TCC interventions ...

    Authors: Binyam Bogale, Kjersti Mørkrid, Brian O’Donnell, Buthaina Ghanem, Itimad Abu Ward, Khadija Abu Khader, Mervett Isbeih, Michael Frost, Mohammad Baniode, Taghreed Hijaz, Tamara Awwad, Yousef Rabah and J. Frederik Frøen
    Citation: BMC Medical Informatics and Decision Making 2020 20:1
  45. The study investigated the feasibility of conducting a future Randomised Controlled Trial (RCT) of a mobile health (mHealth) intervention for weight loss and HbA1c reduction in Type 2 Diabetes Mellitus (T2DM).

    Authors: Claire L. Bentley, Olubukola Otesile, Ruth Bacigalupo, Jackie Elliott, Hayley Noble, Mark S. Hawley, Elizabeth A. Williams and Peter Cudd
    Citation: BMC Medical Informatics and Decision Making 2016 16:92
  46. Obesity disproportionately affects Latina women, but few targeted, technology-assisted interventions that incorporate tailored health information exist for this population. The Veterans Health Administration (...

    Authors: Hector R. Perez, Michael W. Nick, Katrina F. Mateo, Allison Squires, Scott E. Sherman, Adina Kalet and Melanie Jay
    Citation: BMC Medical Informatics and Decision Making 2016 16:128
  47. Increasing mobile phone ownership, functionality and access to mobile-broad band internet services has triggered growing interest to harness the potential of mobile phone technology to improve health services ...

    Authors: Solomon Shiferaw, Andualem Workneh, Robel Yirgu, Geert-Jan Dinant and Mark Spigt
    Citation: BMC Medical Informatics and Decision Making 2018 18:96
  48. Mobile phone-based technology has been used in improving the delivery of healthcare services in many countries. However, data on the effects of this technology on improving primary healthcare services in resou...

    Authors: Jasim Uddin, Tuhin Biswas, Gourab Adhikary, Wazed Ali, Nurul Alam, Rajesh Palit, Nizam Uddin, Aftab Uddin, Fatema Khatun and Abbas Bhuiya
    Citation: BMC Medical Informatics and Decision Making 2017 17:101
  49. The wide scale and severity of consequences of tobacco use, benefits derived from cessation, low rates of intervention by healthcare professionals, and new opportunities stemming from novel communications tech...

    Authors: J. F. Avila-Tomas, E. Olano-Espinosa, C. Minué-Lorenzo, F. J. Martinez-Suberbiola, B. Matilla-Pardo, M. E. Serrano-Serrano and E. Escortell-Mayor
    Citation: BMC Medical Informatics and Decision Making 2019 19:249
  50. Cancer-related fatigue is a distressing symptom experienced by many after cancer treatment. An exploratory randomised controlled trial was conducted to test proof of concept of RESTORE: a web-based tool to enh...

    Authors: Michelle Myall, Carl R. May, Chloe Grimmett, Christine M. May, Lynn Calman, Alison Richardson and Claire L. Foster
    Citation: BMC Medical Informatics and Decision Making 2015 15:94

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