9
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Pain relief in the palm of your hand: Harnessing mobile health to manage pediatric pain

      1 , 2 , 3 , 4 , 5 , 2 , 3 , 6 , 7
      Pediatric Anesthesia
      Wiley

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          <p class="first" id="d5254723e127">The development and implementation of mobile health (mHealth) interventions provide an opportunity for more optimal management of pediatric pain in the home setting. Leveraging the popularity, mobility, and technological capabilities of digital mobile devices may reduce pediatric pain. Several mHealth applications have already been developed that target the reduction of acute and chronic pediatric pain by digitally delivering intervention strategies in an engaging manner, accumulating pain assessment data, facilitating patient-provider communication, and providing interactive training. Although several mHealth programs have begun to make strides in the management of pediatric pain, there are still many more possibilities for improvement as greater development and adoption of mHealth practices is on the horizon. Recommendations are provided that advocate for continued advancement of pediatric pain mHealth implementation with an emphasis on robust scientific evaluation, a structured approach to development and design elements that enhance engagement. Increased awareness about the positive influence of mHealth along with the encouragement of researchers and healthcare providers to promote and develop mHealth programs has the potential to transform pediatric pain management. This merger of evidence-based pain management strategies and digital technology positions pediatric mHealth to have a profound impact by effectively augmenting standard of care and benefiting healthcare providers, parents, and especially children in need. </p>

          Related collections

          Most cited references33

          • Record: found
          • Abstract: found
          • Article: not found

          From ideas to efficacy: The ORBIT model for developing behavioral treatments for chronic diseases.

          Given the critical role of behavior in preventing and treating chronic diseases, it is important to accelerate the development of behavioral treatments that can improve chronic disease prevention and outcomes. Findings from basic behavioral and social sciences research hold great promise for addressing behaviorally based clinical health problems, yet there is currently no established pathway for translating fundamental behavioral science discoveries into health-related treatments ready for Phase III efficacy testing. This article provides a systematic framework for developing behavioral treatments for preventing and treating chronic diseases.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found

            Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning.

            Sensors in everyday devices, such as our phones, wearables, and computers, leave a stream of digital traces. Personal sensing refers to collecting and analyzing data from sensors embedded in the context of daily life with the aim of identifying human behaviors, thoughts, feelings, and traits. This article provides a critical review of personal sensing research related to mental health, focused principally on smartphones, but also including studies of wearables, social media, and computers. We provide a layered, hierarchical model for translating raw sensor data into markers of behaviors and states related to mental health. Also discussed are research methods as well as challenges, including privacy and problems of dimensionality. Although personal sensing is still in its infancy, it holds great promise as a method for conducting mental health research and as a clinical tool for monitoring at-risk populations and providing the foundation for the next generation of mobile health (or mHealth) interventions.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Mapping mHealth Research: A Decade of Evolution

              Background For the last decade, mHealth has constantly expanded as a part of eHealth. Mobile applications for health have the potential to target heterogeneous audiences and address specific needs in different situations, with diverse outcomes, and to complement highly developed health care technologies. The market is rapidly evolving, making countless new mobile technologies potentially available to the health care system; however, systematic research on the impact of these technologies on health outcomes remains scarce. Objective To provide a comprehensive view of the field of mHealth research to date and to understand whether and how the new generation of smartphones has triggered research, since their introduction 5 years ago. Specifically, we focused on studies aiming to evaluate the impact of mobile phones on health, and we sought to identify the main areas of health care delivery where mobile technologies can have an impact. Methods A systematic literature review was conducted on the impact of mobile phones and smartphones in health care. Abstracts and articles were categorized using typologies that were partly adapted from existing literature and partly created inductively from publications included in the review. Results The final sample consisted of 117 articles published between 2002 and 2012. The majority of them were published in the second half of our observation period, with a clear upsurge between 2007 and 2008, when the number of articles almost doubled. The articles were published in 77 different journals, mostly from the field of medicine or technology and medicine. Although the range of health conditions addressed was very wide, a clear focus on chronic conditions was noted. The research methodology of these studies was mostly clinical trials and pilot studies, but new designs were introduced in the second half of our observation period. The size of the samples drawn to test mobile health applications also increased over time. The majority of the studies tested basic mobile phone features (eg, text messaging), while only a few assessed the impact of smartphone apps. Regarding the investigated outcomes, we observed a shift from assessment of the technology itself to assessment of its impact. The outcome measures used in the studies were mostly clinical, including both self-reported and objective measures. Conclusions Research interest in mHealth is growing, together with an increasing complexity in research designs and aim specifications, as well as a diversification of the impact areas. However, new opportunities offered by new mobile technologies do not seem to have been explored thus far. Mapping the evolution of the field allows a better understanding of its strengths and weaknesses and can inform future developments.
                Bookmark

                Author and article information

                Journal
                Pediatric Anesthesia
                Pediatr Anaesth
                Wiley
                1155-5645
                1460-9592
                December 23 2018
                February 2019
                December 13 2018
                February 2019
                : 29
                : 2
                : 120-124
                Affiliations
                [1 ]Department of Psychological Science University of California Irvine California
                [2 ]Center on Stress &amp; Health, School of Medicine University of California‐Irvine Irvine California
                [3 ]Department of Anesthesiology and Perioperative Care University of California‐Irvine Irvine California
                [4 ]Department of Pediatrics Children's Hospital of Orange County Orange California
                [5 ]Yale Child Study Center, School of Medicine Yale University New Haven Connecticut
                [6 ]Sue &amp; Bill Gross School of Nursing University of California‐Irvine Irvine California
                [7 ]Department of Pediatric Psychology Children's Hospital of Orange County Orange California
                Article
                10.1111/pan.13547
                30444558
                55331398-4a26-4bfb-b101-f499524d9058
                © 2019

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

                History

                Comments

                Comment on this article