Med Conformity: Enhance Adherence with Prescription Opioids

A person dies in America approximately every 16 minutes from opioid overdose. It is estimated that one in four patients receiving long-term opioid therapy in a primary care setting struggles with opioid addiction. Medication non-adherence causes unfavorable healthcare outcomes and raises healthcare costs through increased service utilization. We need to provide tools and information for healthcare professionals working on overdose prevention and treatment, and increase awareness and share best practices with providers and patients. Developing a digital health application to run on a smartphone is an inexpensive solution for addressing medication non-adherence. Objective data captured on a digital device can facilitate better communication between patients and their providers. This talks presents Med Conformity, an open-sourced application for helping patients to better control the medications they use as needed. The opensourced application is customizable for various patients’ needs. Due to proprietary information and a lack of published results, it is hard to learn from past successes and failures of medication adherence programs. Additionally, emerging digital health technologies can be interfaced with the application in the future to create novel solutions to address medication non-adherence. The talk also explains how a smart phone application can act as a personal assistant for many patients in their quest for an ideal medication treatment experience. To break the non-adherence cycle, patients, in partnership with their doctors and pharmacist, need to commit to a mutually agreed schedule for optimal medication compliance. Adherence is a team effort involving the patient, healthcare providers, and other supportive individuals (spouse, friends, etc.) Functionality of Med Conformity can also be enhanced by incorporating other forms of digital health technology, such as automated sensors. Another digital health technology that could be incorporated with Med Conformity would be a sensor enabled pill container. The talk will also present how the automated data could be reviewed by healthcare providers when there is concern about possible misuse or diversion (stealing, selling, etc.) of medications

Scalable Decision Support at the Point of Care: A Substitutable Electronic Health Record App for Monitoring Medication Adherence

Background: Non-adherence to prescribed medications is a serious health problem in the United States, costing an estimated $100 billion per year. While poor adherence should be addressable with point of care health information technology, integrating new solutions with existing electronic health records (EHR) systems require customization within each organization, which is difficult because of the monolithic software design of most EHR products. Objective: The objective of this study was to create a published algorithm for predicting medication adherence problems easily accessible at the point of care through a Web application that runs on the Substitutable Medical Apps, Reusuable Technologies (SMART) platform. The SMART platform is an emerging framework that enables EHR systems to behave as “iPhone like platforms” by exhibiting an application programming interface for easy addition and deletion of third party apps. The app is presented as a point of care solution to monitoring medication adherence as well as a sufficiently general, modular application that may serve as an example and template for other SMART apps. Methods: The widely used, open source Django framework was used together with the SMART platform to create the interoperable components of this app. Django uses Python as its core programming language. This allows statistical and mathematical modules to be created from a large array of Python numerical libraries and assembled together with the core app to create flexible and sophisticated EHR functionality. Algorithms that predict individual adherence are derived from a retrospective study of dispensed medication claims from a large private insurance plan. Patients’ prescription fill information is accessed through the SMART framework and the embedded algorithms compute adherence information, including predicted adherence one year after the first prescription fill. Open source graphing software is used to display patient medication information and the results of statistical prediction of future adherence on a clinician-facing Web interface. Results: The user interface allows the physician to quickly review all medications in a patient record for potential non-adherence problems. A gap-check and current medication possession ratio (MPR) threshold test are applied to all medications in the record to test for current non-adherence. Predictions of 1-year non-adherence are made for certain drug classes for which external data was available. Information is presented graphically to indicate present non-adherence, or predicted non-adherence at one year, based on early prescription fulfillment patterns. The MPR Monitor app is installed in the SMART reference container as the “MPR Monitor”, where it is publically available for use and testing. MPR is an acronym for Medication Possession Ratio, a commonly used measure of adherence to a prescribed medication regime. This app may be used as an example for creating additional functionality by replacing statistical and display algorithms with new code in a cycle of rapid prototyping and implementation or as a framework for a new SMART app. Conclusions: The MPR Monitor app is a useful pilot project for monitoring medication adherence. It also provides an example that integrates several open source software components, including the Python-based Django Web framework and python-based graphics, to build a SMART app that allows complex decision support methods to be encapsulated to enhance EHR functionality

Medication management in mental health: nurses’ perceptions of their work with service users and carers

Aim: This study aimed to ascertain registered mental health nurses’ perceptions of their role involving medication management interventions with clients and their carers. Medicine-related interventions include administration, assessment of therapeutic effect potential side-effects education, liaison with service users and influence in prescribing decisions. Design and methods: The study used a qualitative design. Ten registered nurses were interviewed. Findings: Three themes were identified all related to the nurse context of work, role and client and carer need: improved dialogue, information and education, and adherence issues. Practice implications: Nurses use their clinical expertise in medication management to help achieve optimum therapeutic outcomes

El reto del envejecimiento y la complejidad farmacoterapéutica en el paciente VIH+

Objective: To describe the current knowledge and management of aging and pharmacotherapeutic complexity in HIV + patients. Method: A review of literature was carried out, including articles, originals or reviews, published in English or Spanish, from 2007 to 2017, which analysed the aging and pharmacotherapeutic complexity in HIV + patients. The terms «Polypharmacy»/«Polifarmacia», «Aging»/«Envejecimiento», «Frailty»/«Fragilidad», «Complejidad Farmacotera péutica»/«Medication Regimen Complexity» and «HIV»/«VIH» were combined. The review was carried out independently by two authors. The degree of agreement, according to the Kappa index, was analysed. Results: A total of 208 references were analysed, including, finally, only 68. An aging of the population and an increase in associated comorbidities have been identified, especially over 50 years-old. Immunological changes similar to those that are generated in a non-infected elderly population have been described. These conditions influencing the prescription of antiretroviral treatment, according to studies identified. In parallel, polypharmacy is increasingly present, being defined exclusively by the concomitant use of five drugs. Pharmacotherapeutic complexity, through the Medication Regimen Complexity Index, has begun to analyse and relate to health outcomes. There has been a need to know and apply concepts already known in non-HIV-aged population, such as deprescription, potentially inappropriate medication, cholinergic risk, although few results are available. Conclusions: There is a growing interest to know about the relationship between HIV and aging. Pharmacotherapeutic complexity is beginning to be used as a pharmacotherapeutic follow-up criterion due to its influence on health outcomes. It is necessary to manage and incorporate new concepts that help pharmacotherapeutic optimization in this population

In what way do Nepalese cultural factors affect adherence to antiretroviral treatment in Nepal?

Individuals’ self administration of medication is an essential component of disease management because incorrect and incomplete medication can result in increased morbidity, mortality and healthcare costs and also spreads drug resistance. Its impact is necessarily wider than just medical and includes the cultural and managerial considerations which govern success in medical interventions. This review paper is aimed at how Nepalese cultural factors (beliefs, religious practices, customs and traditions) may affect adherence to antiretroviral (ARV) medication among people living with Human Immunodeficiency Virus (HIV) and Acquired Immune Deficiency Syndrome (AIDS). Results: Cultural factors (individual beliefs and perceptions) are notoriously complex concepts and shape people’s identities and influence their attitude and behaviours. The individual behaviours and beliefs about health and seeking treatment can adversely affect health care utilization and adherence to medication. These factors create a complicated and unforgiving environment for patients who are struggling to endure a chronic, life-threatening illness with life-long treatment. We cannot disregard patients’ cultural beliefs or practices in order to provide ARV treatment and their adherence because patients and clinicians come from different cultural groups. Conclusion: It is the purpose of this paper to contribute to the policy makers by exploring the pertinent cultural factors relating to the uptake of ARV treatment and its adherence

Recommendations for The Conduct of Economic Evaluations in Osteoporosis: Outcomes of An Experts’ Consensus Meeting Organized by The European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) And the US Branch of The International Osteoporosis Foundation

Summary Economic evaluations are increasingly used to assess the value of health interventions, but variable quality and heterogeneity limit the use of these evaluations by decision-makers. These recommendations provide guidance for the design, conduct, and reporting of economic evaluations in osteoporosis to improve their transparency, comparability, and methodologic standards. Introduction This paper aims to provide recommendations for the conduct of economic evaluations in osteoporosis in order to improve their transparency, comparability, and methodologic standards. Methods A working group was convened by the European Society for Clinical and Economic Aspects of Osteoporosis and Osteoarthritis to make recommendations for the design, conduct, and reporting of economic evaluations in osteoporosis, to define an osteoporosis-specific reference case to serve a minimum standard for all economic analyses in osteoporosis, to discuss methodologic challenges and initiate a call for research. A literature review, a face-to-face meeting in New York City (including 11 experts), and a review/approval by a larger group of experts worldwide (including 23 experts in total) were conducted. Results Recommendations on the type of economic evaluation, methods for economic evaluation, modeling aspects, base-case analysis and population, excess mortality, fracture costs and disutility, treatment characteristics, and model validation were provided. Recommendations for reporting economic evaluations in osteoporosis were also made and an osteoporosis-specific checklist was designed that includes items to report when performing an economic evaluation in osteoporosis. Further, 12 minimum criteria for economic evaluations in osteoporosis were identified and 12 methodologic challenges and need for further research were discussed. Conclusion While the working group acknowledges challenges and the need for further research, these recommendations are intended to supplement general and national guidelines for economic evaluations, improve transparency, quality, and comparability of economic evaluations in osteoporosis, and maintain methodologic standards to increase their use by decision-makers

Patient involvement in selection of immunosuppressive regimen following transplantation.

Transplantation has made a considerable difference to the lives of many patients. However, feedback from patients indicates that although having a transplant is a hugely positive experience, having to take medications indefinitely is one of the biggest challenges. An ideal scenario would be no medications following a transplant. A compromise would be a minimal number of medications, with minimal restrictions and as simple a regimen as possible. Although there is considerable research going into fine-tuning the management of the immune response to a transplant, to date there is no universal regimen that enables patients to remain free of immunosuppressant medications, making adherence paramount to maintain long-term allograft survival. This paper reviews the available immunosuppressant regimens and factors influencing choice from both the clinician's and the patient's perspective. Factors influencing the decision-making process, such as quality of life for patients, their satisfaction, acceptability, and adherence uptake are reviewed. We conclude with a further assessment of patient choice as a factor in regimen selection, its impact on adherence, and its implications

The ARV Treatment Adherence Model: A Qualitative Study on Antiretroviral (ARV) Treatment Adherence for People Living with HIV

Adherence to antiretroviral (ARV) treatment improves life expectancy and other health outcomes for people living with HIV (PLWH). It also minimizes their risk of transmitting HIV through sexual contact and is therefore a form of HIV prevention. However, many PLWH, specifically low-income PLWH of color who have been disproportionately impacted by the virus, face a multitude of barriers to ARV treatment adherence, making it much harder for them to take their medication as prescribed and remain engaged in care. This qualitative study based on Constructivist Grounded Theory explored the process by which 14 virally suppressed, low-income PLWH of color overcame barriers to ARV treatment adherence to achieve viral suppression. Data analysis revealed four factors that helped facilitate ARV treatment adherence. 1) Access to inclusive, nonjudgmental and destigmatizing quality medical care administered by culturally competent medical providers. 2) Trust in medical provider, the medical system, and medication. 3) Self-efficacy to accept the chronic medical condition and need to take medication to control it, be actively engaged in medical care, and take medication as prescribed. 4) Motivation, or having a will to live, something to live for (a life goal), a desire to be healthy and not be sick, and to not transmit HIV to others. These findings informed an emerging theory about ARV treatment adherence called the ARV Treatment Adherence Model. HIV policy and medical and social service providers interested in improving viral suppression rates for PLWH would benefit from developing interventions that minimize the competing barriers and reinforce the facilitators of ARV treatment adherence highlighted by the ARV Treatment Adherence Model

Non-Adherence Tree Analysis (NATA) - an adherence improvement framework: a COVID-19 case study

Poor medication adherence is a global phenomenon that has received a significant amount of research attention yet remains largely unsolved. Medication non-adherence can blur drug efficacy results in clinical trials, lead to substantial financial losses, increase the risk of relapse and hospitalisation, or lead to death. The most common methods of measuring adherence are post-treatment measures; that is, adherence is usually measured after the treatment has begun. What the authors are proposing in this multidisciplinary study is a new technique for predicting the factors that are likely to cause non-adherence before or during medication treatment, illustrated in the context of potential non-adherence to COVID-19 antiviral medication. Fault Tree Analysis (FTA), allows system analysts to determine how combinations of simple faults of a system can propagate to cause a total system failure. Monte Carlo simulation is a mathematical algorithm that depends heavily on repeated random sampling to predict the behaviour of a system. In this study, the authors propose a new technique called Non-Adherence Tree Analysis (NATA), based on the FTA and Monte Carlo simulation techniques, to improve adherence. Firstly, the non-adherence factors of a medication treatment lifecycle are translated into what is referred to as a Non-Adherence Tree (NAT). Secondly, the NAT is coded into a format that is translated into the GoldSim software for performing dynamic system modelling and analysis using Monte Carlo. Finally, the GoldSim model is simulated and analysed to predict the behaviour of the NAT. NATA is dynamic and able to learn from emerging datasets to improve the accuracy of future predictions. It produces a framework for improving adherence by analysing social and non-social adherence barriers. Novel terminologies and mathematical expressions have been developed and applied to real-world scenarios. The results of the application of NATA using data from six previous studies in relation to antiviral medication demonstrate a predictive model which suggests that the biggest factor that could contribute to non-adherence to a COVID-19 antiviral treatment is a therapy-related factor (the side effects of the medication). This is closely followed by a condition-related factor (asymptomatic nature of the disease) then patient-related factors (forgetfulness and other causes). From the results, it appears that side effects, asymptomatic factors and forgetfulness contribute 32.44%, 22.67% and 18.22% respectively to discontinuation of medication treatment of COVID-19 antiviral medication treatment. With this information, clinicians can implement relevant interventions and measures and allocate resources appropriately to minimise non-adherence