Mobile Clinical Decision Support Systems – A Systematic Review

In this review article, we provide a descriptive analysis of the current state of mobile decision support systems in the healthcare domain based on studies published in the following databases: Business Source Complete, CINAHL, Cochrane library, MEDLINE, PsycINFO, PubMed, ScienceDirect and Web of Science databases. A total of 29 studies were identified and analyzed to understand the current state of development, evaluation efforts, usability and challenges to adoption by patients and care providers. Our aim is to evaluate these systems and identify the key challenges which hinders their widespread adoption. Although, mobile based decision support systems in healthcare context have the potential to improve clinical decision making, the current state with low adoption rate and early stage of development need to be addressed for successful health outcomes

New paradigms in doctor-patient interaction applied to HIV medication adherence

Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2009.Cataloged from PDF version of thesis.Includes bibliographical references (p. 74-78).Despite astounding advances in medical knowledge and treatment in recent decades, health outcomes are disappointing and costs continue to rise. The traditional paternalistic and episodic approach to medical care is not meeting the needs of patients. CollaboRhythm is a technological platform that is being developed to enable a more modem collaborative and continuous approach to care by facilitating new paradigms in doctor-patient interaction. It asks the question: Can a system that allows patients to become active participants in their care, through data transparency, shared decision making, education, and new channels of communication, improve patient outcomes? To begin testing the principles of CollaboRhythm, a system to support medication adherence for Human Immunodeficiency Virus (HIV) infection was created. It includes custom applications on a patient cell phone and an interactive device for the home called a Chumby as well as a collaborative workstation in the clinician's office. The applications allow the reporting of medication adherence, viewing of adherence performance including a personalized and dynamic simulation of HIV, and sending of supportive video messages. The system is novel in that it abandons the typical alarm-based method of supporting adherence and instead focuses on a multifaceted approach to generating motivation through awareness, self-reflection, education, and social support. Transparency of data and new communication channels allow efficient and socially engaging collaboration in real-time. The HIV medication adherence system was evaluated in two stages.(cont.) In the first stage, twelve patient interviews were conducted. The response to the principles of the system was positive with eleven of the twelve patients willing to share their adherence data with their clinician and all twelve agreeing that the HIV simulation and encouraging messages would motivate them to take their medications. Overall, eleven patients were interested in using the system. In the second stage, a one-month pilot deployment was conducted with four patients collaborating with an HIV medication adherence specialist. This stage also yielded encouraging results with three patients maintaining greater than 95% adherence all four patients confident that the system helped them improve their adherence. Important lessons were learned about its limitations, including ramifications of inaccurate reporting. The results from the HIV adherence study suggest that there is merit in the new paradigms in provider-patient interaction facilitated by CollaboRhythm and that some patients are receptive to the idea of becoming more active participants in their care. Evaluations at a larger scale and for a number of clinical scenarios are warranted.by John O. Moore.S.M

Transforming Healthcare Provider and Patient Power Dynamics – Exploring the Impact of Mobile Healthcare

Purpose: The purpose of this emergent research is to explore the relationships between provider and patient power structures and mobile healthcare technology in literature utilizing text analytics. Objectives: Changes in power structures through mobile healthcare have the potential to radically disrupt and change current organizational structures. This research develops a set of metaconjectures based on review of each of the power and mobile healthcare technology lenses, in order to develop new theoretical concepts, healthcare industry insights and recommendations following text analytics. Anticipated Findings: Different power lenses lead to variations in mobile healthcare technology effectiveness and control

Development and Usability Evaluation of an mHealth Application for Symptom Self-Management in Underserved Persons Living with HIV

Effective symptom management is essential to decrease symptom severity and improve health-related quality of life for persons living with HIV (PLWH). A mobile health (mHealth) application (app) has the potential to be an effective delivery mode of an existing paper-based symptom management manual with self-management strategies for underserved PLWH. The quality of the mHealth app requires a thorough understanding of the needs of the intended end-users and ensuring the app’s usability. The purpose of this study was to translate paper-based health information into an mHealth app for symptom self-management in underserved PLWH, entitled mVIP (mobile Video Information Provider), and assess its usability. To achieve this goal, usability was evaluated rigorously throughout the development process of mVIP. Based on a stratified view of health information technology (IT) usability evaluation framework, usability evaluation was sequentially conducted with the following three levels: 1) user-task, 2) user-task-system, and 3) user-task-system-environment. At level 1 (user-task), we applied a user-centered design method to guide the information architecture of mVIP. Using a reverse in-person card sorting technique, symptoms and self-management strategies from a paper-based HIV/AIDS symptom management manual were ranked. The rank order of the 13 symptoms and 151 self-management strategies determined the order of appearance to end-users of the mVIP app, with higher-ranked symptoms and strategies appearing first. Based on the findings, we developed a prototype of mVIP as following: 1) once users log in, they are guided by an avatar through a series of 13 symptom questions ascertaining the nature and severity of their symptoms, and 2) the avatar recommends three self-management strategies for each symptom reported. At level 2 (user-task-system), we conducted a usability evaluation of the mVIP prototype in a laboratory setting through end-user usability testing and heuristic evaluation. In end-user usability testing, we used an eye-tracking and retrospective think-aloud method to examine task performance by 20 PLWH. For the heuristic evaluation, five usability experts in informatics assessed the user interface. In the two usability evaluations conducted in a laboratory setting, we found strong user acceptance of the mVIP prototype while identifying a number of usability issues with this prototype. Based on the recommendations from the end-users and heuristic evaluators, we iteratively refined the app’s content, functionality, and interface. We then inserted videos of the finalized symptom self-management strategies into the refined mVIP prototype. At level 3 (user-task-system-environment), the usability of the refined mVIP prototype was evaluated in a real-world setting. Through 10 in-depth interviews and four focus groups conducted at the conclusion of a three-month randomized controlled trial, we explored in-depth understandings of users’ experiences, perceptions, and satisfaction of mVIP use. Findings from the study showed that first, mVIP is useful for HIV-related symptom self-management and has the potential for being used as a communication tool with healthcare providers; and second, mVIP is easy to use to monitor symptom experience over time. At the same time, participants suggested mVIP be more sensitively tailored based on years from initial diagnosis of HIV, an individuals’ age, and conditions. The overall user satisfaction with the mVIP prototype was high, which reflects strong user acceptance of mVIP. Integral to the findings from the three-level usability evaluation, we assessed the quality of the mVIP prototype in use and found the prototype was highly accepted by PLWH with high user satisfaction. This study will add to the body of literature on translation of evidence-based health information into an mHealth app and its usability assessment, which highlights the importance of the use of mobile technology for PLWH, specifically racial and ethnic minorities and those from low-socioeconomic groups who have limited health literacy and low level of education

Telemedicine for Kidney Transplant Recipients:Current State, Advantages, and Barriers

Telemedicine is defined as the use of electronic information and communication technologies to provide and support healthcare at a distance. In kidney transplantation, telemedicine is limited but is expected to grow markedly in the coming y. Current experience shows that it is possible to provide transplant care at a distance, with benefits for patients like reduced travel time and costs, better adherence to medication and appointment visits, more self-sufficiency, and more reliable blood pressure values. However, multiple barriers in different areas need to be overcome for successful implementation, such as recipients' preferences, willingness, skills, and digital literacy. Moreover, in many countries, limited digital infrastructure, legislation, local policy, costs, and reimbursement issues could be barriers to the implementation of telemedicine. Finally, telemedicine changes the way transplant professionals provide care, and this transition needs time, training, willingness, and acceptance. This review discusses the current state and benefits of telemedicine in kidney transplantation, with the aforementioned barriers, and provides an overview of future directions on telemedicine in kidney transplantation.</p

Innovative Diagnostic Tools for Ophthalmology in Low-Income Countries

Globally, there are almost 300 million people blind and visually impaired and over 90% live developing countries. The gross disparity in access to ophthalmologists limits the ability to accurately diagnose potentially blinding conditions like cataract, glaucoma, trachoma, uncorrected refractive error and limits timely initiation of medical and surgical treatment. Since 85% of blindness is preventable, bridging this chasm for care is even more critical in preventing needless blindness. Many low-income countries must rely on community health workers, physician assistants, and cataract surgeons for primary eye care. Ophthalmology in low-income countries (LIC) is further challenging due to complexities brought from tropical climates, frail electric grids, poor road and water infrastructure, limited diagnostic capability and limited treatment options. Vision 2020 set the goal of eliminating preventable blindness by 2020 despite formidable obstacles. Innovative technologies are emerging to test visual acuity, correct refractive error quickly and inexpensively, capture retinal images with portable tools, train cataract surgeons using simulators, capitalize on mHealth, access ophthalmic information remotely. These advancements are allowing nonspecialized ophthalmic practitioners to provide low-cost, high impact eye care in resource-limited regions around the world

Getting Growers to Go Digital: The Power of a Positive User Experience

Using web-based applications is an innovative approach for delivery of Extension resources. For example, myFields.info is a mobile-friendly application focused on directing stakeholders to information at the field level. Acceptance and diffusion of such applications depends on initial experiences resulting from traditional face-to-face interactions with Extension personnel. We found that crop school participants involved in an Extension training event for a web-based sampling plan showed increased willingness after the training to incorporate sampling plans in their management decisions and share relevant data with others. Specifically, our study demonstrated the value of providing hands-on experience when attempting to encourage stakeholders to accept technologies

Pre-exposure Prophylaxis (PrEP) for HIV prevention among men who have sex with men (MSM): A scoping review on PrEP service delivery and programming.

Background: Intimate partner violence (IPV) is a risk factor for developmental problems in offspring. Despite a high prevalence of IPV in the UK and elsewhere, the longer-term outcomes of offspring born to exposed mothers remain under-researched. Methods: Population-based cohort study. We assessed IPV prevalence by type and timing for 3,153 mother-child pairs with complete data within our study population and examined associations between IPV and offspring IQ. We used multiple-imputation to evaluate bias due to our exclusion of observations with missing covariate data. Results: Nearly one in five mothers reported IPV during the study period, with 17.6% reporting emotional violence and 6.8% reporting physical violence. Taking into account potential confounders, the IQ scores of children born to mothers exposed to physical violence remained lower than those of maternally unexposed children (full-scale IQ = −2.8 points [95%CI −4.9 to −0.7], verbal IQ = −2.2 [95%CI −4.4 to −0.1], performance IQ = −2.7 [95%CI −5.0 to −0.5]) and odds of below-average intelligence (IQ<90) remained increased for full-scale (OR 1.48 [95%CI 1.03 to 2.14] and performance IQ (OR 1.48 [95%CI 1.08 to 2.04]) but not verbal IQ (OR 1.06 [95%CI 0.69 to 1.64]). Most physical violence occurred postnatally, and relative odds were most substantial when mothers were exposed to violence across pre-/perinatal and postnatal study periods (OR performance IQ<90 = 2.97 [95%CI 1.30 to 6.82]). Conclusions: Maternal exposure to physical IPV is associated with lower offspring IQ at age 8. Associations persisted after adjusting for potential confounders and were driven by violence occurring postnatally

Implementation of bayesian therapeutic drug monitoring in modern patient care

The variability observed in drug exposure has a direct impact on the overall response to drug. The largest part of variability between dose and drug response resides in the pharmacokinetic phase, i.e. in the dose-concentration relationship. Among possibilities offered to clinicians, Therapeutic Drug Monitoring (TDM; Monitoring of drug concentration measurements) is one of the useful tool to guide pharmacotherapy. TDM aims at optimizing treatments by individualizing dosage regimens based on blood drug concentration measurement. Bayesian calculations, relying on population pharmacokinetic approach, currently represent the gold standard TDM strategy. However, it requires expertise and computational assistance, thus limiting its large implementation in routine patient care. The overall objective of this thesis was to implement robust tools to provide Bayesian TDM to clinician in modern routine patient care. To that endeavour, aims were (i) to elaborate an efficient and ergonomic computer tool for Bayesian TDM: EzeCHieL (ii) to provide algorithms for drug concentration Bayesian forecasting and software validation, relying on population pharmacokinetics (iii) to address some relevant issues encountered in clinical practice with a focus on neonates and drug adherence. First, the current stage of the existing software was reviewed and allows establishing specifications for the development of EzeCHieL. Then, in close collaboration with software engineers a fully integrated software, EzeCHieL, has been elaborated. EzeCHieL provides population-based predictions and Bayesian forecasting and an easy-to-use interface. It enables to assess the expectedness of an observed concentration in a patient compared to the whole population (via percentiles), to assess the suitability of the predicted concentration relative to the targeted concentration and to provide dosing adjustment. It allows thus a priori and a posteriori Bayesian drug dosing individualization. Implementation of Bayesian methods requires drug disposition characterisation and variability quantification trough population approach. Population pharmacokinetic analyses have been performed and Bayesian estimators have been provided for candidate drugs in population of interest: anti-infectious drugs administered to neonates (gentamicin and imipenem). Developed models were implemented in EzeCHieL and also served as validation tool in comparing EzeCHieL concentration predictions against predictions from the reference software (NONMEM®). Models used need to be adequate and reliable. For instance, extrapolation is not possible from adults or children to neonates. Therefore, this work proposes models for neonates based on the developmental pharmacokinetics concept. Patients' adherence is also an important concern for drug models development and for a successful outcome of the pharmacotherapy. A last study attempts to assess impact of routine patient adherence measurement on models definition and TDM interpretation. In conclusion, our results offer solutions to assist clinicians in interpreting blood drug concentrations and to improve the appropriateness of drug dosing in routine clinical practice