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Common and Assistive Technology to Support People with Specific Learning Disabilities to Access Healthcare
Published in Christopher M. Hayre, Dave J. Muller, Marcia J. Scherer, Everyday Technologies in Healthcare, 2019
Dianne Chambers, Sharon Campbell
People with dyslexia and/or dyscalculia may see numbers as transposed or reversed. This can create a dangerous situation when medication is prescribed. Pamphlets and information sheets for prescribed medications are often difficult to read and interpret, with extremely small and condensed text and highly technical information. In addition, patients have to keep track of their medication, knowing how often, what time of day and how much of the medication to take. Some people may have difficulty in ensuring medication adherence, which in turn, has the potential to negatively impact on their overall health outcomes.
Nanosensors and their Potential Role in Internet of Medical Things
Published in Suresh Kaushik, Vijay Soni, Efstathia Skotti, Nanosensors for Futuristic Smart and Intelligent Healthcare Systems, 2022
Another important factor to note here is providing proper and mandatory training to patients, their caregivers, and all healthcare professionals on how to use and manage the IoT devices and services correctly, to get the most benefit out of these. Moreover, the added concern is that clinicians lack the means to assess whether the patients are following the prescribed treatment and medications. This lack of adherence might increase the risk of hospitalization among patients (Rghioui and Oumnad 2018). Therefore, considerable research efforts need to be exerted to establish a successful smart healthcare system.
Researcher Issues and Future Directions in Healthcare Using IoT and Machine Learning
Published in Meenu Gupta, Gopal Chaudhary, Victor Hugo C. de Albuquerque, Smart Healthcare Monitoring Using IoT with 5G, 2021
Sharad Chauhan, Ritika Arora, Neha Arora
IoT for physicians—The physicians can also keep track of patients’ health more effectively by using wearable and other home monitoring equipment embedded with IoT. With this technology they can track patients’ adherence to treatment plans or any need for immediate medical attention. It makes healthcare profession under an eye and can connect with them any time. Through the data collection from IoT devices best treatment process for patients will be provided.
Multidisciplinary efforts in combating nonadherence to medication and health care interventions: Opportunities and challenges for operations researchers
Published in IISE Transactions on Healthcare Systems Engineering, 2021
Aditya M. Prakash, Carlos Vega, Vakaramoko Diaby, Xiang Zhong
Any effort to improve patient adherence requires a thorough understanding of the factors that influence adherence. A spate of studies looked at socio-demographic, economic, and clinical factors that include regimen complexity (ease of use, dosing frequency, number of medications), as well as comorbidities (additional medications, the effect of other conditions on adherence, such as depression), adverse effects of medication, and poor doctor-patient communication (Bucknall et al., 2012; Khdour et al., 2012; Mäkelä et al., 2013). Factors influencing adherence include problems with the treatment regimen (such as adverse effects), poor instructions, poor provider-patient relationship, poor memory, and patients’ disagreement with the need for treatment or inability to pay for it, and trust (Haynes et al., 2008). In the next section, we introduce these factors categorized as i) patient-related and socioeconomic factors, ii) health system factors, and iii) condition-related and therapy-related factors.
How much, how often, how well? Adherence to a neuromuscular training warm-up injury prevention program in youth basketball
Published in Journal of Sports Sciences, 2020
Oluwatoyosi B.A. Owoeye, Carolyn A. Emery, Kimberley Befus, Luz Palacios-Derflingher, Kati Pasanen
Adherence is the extent to which an individual’s behaviour corresponds with agreed recommendations from a provider, health-care practitioner, program developer or an innovator, regarding the completion of an intervention (Owoeye et al., 2018; WHO, 2003). Adherence is a key implementation outcome that moderates the effectiveness of NMT warm-up programs in real-world settings (Owoeye et al., 2018). Regarding the appropriateness of terminologies in sports injury prevention research, adherence is the proper word for describing the “extent of completion of an intervention as planned” in implementation trials and compliance in traditional randomized controlled trials (McKay & Verhagen, 2016; Owoeye et al., 2018). In essence, studies establishing the efficacy of NMT warm-up programs have focused on compliance to program in randomized controlled trials (Emery & Meeuwisse, 2010; Owoeye et al., 2014; Soligard et al., 2010). While evidence of program compliance is fundamental for the prospective implementation of an NMT warm-up program, it does not auto-translate to adherence in real-world applications. An extensive understanding of end-user behaviours as per adherence to NMT warm-up programs is essential to optimize implementation (Owoeye et al., 2018).
The effect of adherence on antihypertensive therapy plans in patients with diabetes
Published in IISE Transactions on Healthcare Systems Engineering, 2021
Saeideh Mirghorbani, Sharif Melouk, John Mittenthal
Diabetes care requires a comprehensive plan to control the main disease and its complications. A medication plan for a patient with diabetes includes blood sugar lowering drugs, lifestyle changes, as well as treatments that are prescribed to reduce the risks of comorbidities such as hypertension and chronic kidney disease. On the one hand, initiating antihypertensive medications exposes patients with diabetes to a new sets of side effects that might reduce their willingness to adhere to antihypertensive therapies in the short term. On the other hand, elevated blood pressure surges their risk of experiencing lower quality of life due to cardiovascular complications in the long term. Therefore, a balanced tradeoff between higher quality of life in the short term and lower risks in the long term is critical in diabetes and hypertension care. In addition, according to the American Diabetes Association (2020), blood pressure targets for patients with diabetes should be individualized through a shared decision making process that addresses cardiovascular risk, potential adverse effects of antihypertensive medications, and patient preferences. Since patients with diabetes need to use various types of medications while pursuing special lifestyles, managing their therapies is quite challenging, and many factors impact the benefits and costs of their treatment plans. A crucial factor is patient adherence to the regimen of medications prescribed (Hughes et al., 2007). Insufficient adherence to medication plans reduces the therapeutic benefits of drug treatments, and patients who show higher adherence to medication plans are less likely to have major complications (Bramley et al., 2006; Dragomir et al., 2010; Revicki & Frank, 1999). According to the World Health Organization, adherence is defined as “the extent to which the patient follows medical instructions” and is identified as the primary reason for suboptimal clinical benefit (Dobbels et al., 2005). To aid in the management of antihypertensive treatment regimens, we develop a decision model that addresses the following research questions:How does patient adherence affect health outcomes and subsequently, the medication plans?Is it practical to prescribe treatment plans without considering patient attitudes toward medications?