Decision aids are interventions or tools designed to facilitate shared decision-making and patient participation in health care decisions.
Decision aids help patients think about choices they face; they describe where and why choice exists; and they provide information about options, including, where reasonable, the option of taking no action. [1] This can help patients to deliberate, independently or in collaboration with others, about the available options. [1] Decision aids are most commonly pamphlets, videos, or web-based tools. [2]
Decision aids are distinct from traditional educational materials as they focus on presenting alternatives, detailing the associated risks and benefits, including explicit probabilities, and tailoring information to individual patients. [3] To support shared decision-making, evidence-based patient decision aids (ptDAs) have been created. [4]
Shared decision-making is a collaborative approach in which patients and healthcare providers discuss and choose treatment options. This process values a patient's preferences and values, making sure that they are actively involved in their care rather than just receiving it passively. Such open conversations enable healthcare providers to customize treatments to better match what is important to the patient, which can enhance both satisfaction and overall health outcomes. [5] [6]
The Interprofessional Shared Decision Making Model (IP-SDM) expands the concept of shared decision-making beyond the traditional patient-provider relationship by addressing three levels within the healthcare system: [7]
There are numerous ways in which decision aids can be used. [1] They can be brief enough to be used during a clinical encounter or they can have sufficient content to be used before or after clinical encounters. Although decision aids have been available since the early 1980s, evidence suggests that they are not well integrated into routine practice. [8]
Decision aids provide people with a greater understanding of their medical treatment options and empower them to participate in their own health decision-making. Supplementing patient-education consultations with decision tools improves people's knowledge about the risks and benefits of a procedure or medication and may help them make decisions that are in line with their personal values. [2]
No adverse effects have been identified. [2]
It is not clear what type of decision aid for patients is cost-effective; what impact the use of clinical decision aid systems that assist people who face healthcare treatments or screening decisions may have on the overall healthcare system; or whether decision aids are helpful for people who are not strong readers. [2]
There are many active research groups in the field, including the University of Ottawa, [9] Dartmouth College, [10] Cardiff University [11] and Hamburg; the Agency for Healthcare Research and Quality uses the IPDAS standards [12] to produce its decision aids. [13]
While researchers and health care facilities have different approaches to producing these decision aids, engaging patients in the process appears to have benefits. A systematic review of the literature found that involving users in the design and development of these tools, from the needs assessment, through reviewing the content during development, and into prototyping, piloting, and usability testing, benefits the overall process. [14]
There has been an increase in use of decision support and a global interest in developing these interventions among both for-profit and not-for-profit organisations. [15] It is therefore essential to have internationally accepted standards to assess the quality of their development, process, content, potential bias and method of testing and evaluation. The International Patient Decision Aids Standards (IPDAS) Collaboration has published a checklist, [16] and, more recently, an assessment instrument (IPDAS) [17] to evaluate the quality of decision support interventions. In November 2013, BMC Medical Informatics and Decision Making published a supplement that described the 10-year evolution of the IPDAS Collaboration and 12 core dimensions for assessing the quality of patient decision aids. [18] While specifying minimum standards for patient decision support interventions is a feasible development, it is unclear whether the minimum standards can be applied to interventions designed for use within clinical encounters and to those that target screening and diagnostic tests. [19]
A medical guideline is a document with the aim of guiding decisions and criteria regarding diagnosis, management, and treatment in specific areas of healthcare. Such documents have been in use for thousands of years during the entire history of medicine. However, in contrast to previous approaches, which were often based on tradition or authority, modern medical guidelines are based on an examination of current evidence within the paradigm of evidence-based medicine. They usually include summarized consensus statements on best practice in healthcare. A healthcare provider is obliged to know the medical guidelines of their profession, and has to decide whether to follow the recommendations of a guideline for an individual treatment.
eHealth describes healthcare services which are supported by digital processes, communication or technology such as electronic prescribing, Telehealth, or Electronic Health Records (EHRs). The term "eHealth" originated in the 1990s, initially conceived as "Internet medicine," but has since evolved to have a broader range of technologies and innovations aimed at enhancing healthcare delivery and accessibility. According to the World Health Organization (WHO), eHealth encompasses not only internet-based healthcare services but also modern advancements such as artificial intelligence, mHealth, and telehealth, which collectively aim to improve accessibility and efficiency in healthcare delivery. Usage of the term varies widely. A study in 2005 found 51 unique definitions of eHealth, reflecting its diverse applications and interpretations. While some argue that it is interchangeable with health informatics as a broad term covering electronic/digital processes in health, others use it in the narrower sense of healthcare practice specifically facilitated by the Internet. It also includes health applications and links on mobile phones, referred to as mHealth or m-Health.. Key components of eHealth include electronic health records (EHRs), telemedicine, health information exchange, mobile health applications, wearable devices, and online health information. For example, diabetes monitoring apps allow patients to track health metrics in real time, bridging the gap between home and clinical care. These technologies enable healthcare providers, patients, and other stakeholders to access, manage, and exchange health information more effectively, leading to improved communication, decision-making, and overall healthcare outcomes.
A clinical decision support system (CDSS) is a health information technology that provides clinicians, staff, patients, and other individuals with knowledge and person-specific information to help health and health care. CDSS encompasses a variety of tools to enhance decision-making in the clinical workflow. These tools include computerized alerts and reminders to care providers and patients, clinical guidelines, condition-specific order sets, focused patient data reports and summaries, documentation templates, diagnostic support, and contextually relevant reference information, among other tools. CDSSs constitute a major topic in artificial intelligence in medicine.
In medicine, patient compliance describes the degree to which a patient correctly follows medical advice. Most commonly, it refers to medication or drug compliance, but it can also apply to other situations such as medical device use, self care, self-directed exercises, or therapy sessions. Both patient and health-care provider affect compliance, and a positive physician-patient relationship is the most important factor in improving compliance. Access to care plays a role in patient adherence, whereby greater wait times to access care contributing to greater absenteeism. The cost of prescription medication also plays a major role.
A clinical pathway, also known as care pathway, integrated care pathway, critical pathway, or care map, is one of the main tools used to manage the quality in healthcare concerning the standardisation of care processes. It has been shown that their implementation reduces the variability in clinical practice and improves outcomes. Clinical pathways aim to promote organised and efficient patient care based on evidence-based medicine, and aim to optimise outcomes in settings such as acute care and home care. A single clinical pathway may refer to multiple clinical guidelines on several topics in a well specified context.
Lifestyle medicine (LM) is a branch of medicine focused on preventive healthcare and self-care dealing with prevention, research, education, and treatment of disorders caused by lifestyle factors and preventable causes of death such as nutrition, physical inactivity, chronic stress, and self-destructive behaviors including the consumption of tobacco products and drug or alcohol abuse. The goal of LM is to improve individuals' health and wellbeing by applying the 6 pillars of lifestyle medicine (nutrition, regular physical activity, restorative sleep, stress management, avoidance of risky substances, and positive social connection) to prevent chronic conditions such as cardiovascular diseases, diabetes, metabolic syndrome and obesity.
Health information technology (HIT) is health technology, particularly information technology, applied to health and health care. It supports health information management across computerized systems and the secure exchange of health information between consumers, providers, payers, and quality monitors. Based on a 2008 report on a small series of studies conducted at four sites that provide ambulatory care – three U.S. medical centers and one in the Netherlands, the use of electronic health records (EHRs) was viewed as the most promising tool for improving the overall quality, safety and efficiency of the health delivery system.
HIV Clinical Resource is a health information service in New York State, which provides clinical information and guidance on HIV for the use of healthcare providers and patients.
Outcomes research is a branch of public health research which studies the end results of the structure and processes of the health care system on the health and well-being of patients and populations. According to one medical outcomes and guidelines source book - 1996, Outcomes research includes health services research that focuses on identifying variations in medical procedures and associated health outcomes. Though listed as a synonym for the National Library of Medicine MeSH term "Outcome Assessment ", outcomes research may refer to both health services research and healthcare outcomes assessment, which aims at health technology assessment, decision making, and policy analysis through systematic evaluation of quality of care, access, and effectiveness.
Comparative effectiveness research (CER) is the direct comparison of existing health care interventions to determine which work best for which patients and which pose the greatest benefits and harms. The core question of comparative effectiveness research is which treatment works best, for whom, and under what circumstances. Engaging various stakeholders in this process, while difficult, makes research more applicable through providing information that improves patient decision making.
Patient participation is a trend that arose in answer to medical paternalism. Informed consent is a process where patients make decisions informed by the advice of medical professionals.
Shared decision-making in medicine (SDM) is a process in which both the patient and physician contribute to the medical decision-making process and agree on treatment decisions. Health care providers explain treatments and alternatives to patients and help them choose the treatment option that best aligns with their preferences as well as their unique cultural and personal beliefs.
Glyn Elwyn is a professor and physician-researcher at The Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth College, USA, where he directs the Patient Engagement Research Program. He also leads The Preference Laboratory, an international interdisciplinary team at The Dartmouth Institute, examining the implementation of shared decision making into clinical settings, using tools and measures such as collaboRATE, a patient experience measure of shared decision making, and Observer OPTION, a process measure for shared decision making for use on recorded data.
Clinical point of care (POC) is the point in time when clinicians deliver healthcare products and services to patients at the time of care.
Digital health is a discipline that includes digital care programs, technologies with health, healthcare, living, and society to enhance the efficiency of healthcare delivery and to make medicine more personalized and precise. It uses information and communication technologies to facilitate understanding of health problems and challenges faced by people receiving medical treatment and social prescribing in more personalised and precise ways. The definitions of digital health and its remits overlap in many ways with those of health and medical informatics.
Health care quality is a level of value provided by any health care resource, as determined by some measurement. As with quality in other fields, it is an assessment of whether something is good enough and whether it is suitable for its purpose. The goal of health care is to provide medical resources of high quality to all who need them; that is, to ensure good quality of life, cure illnesses when possible, to extend life expectancy, and so on. Researchers use a variety of quality measures to attempt to determine health care quality, including counts of a therapy's reduction or lessening of diseases identified by medical diagnosis, a decrease in the number of risk factors which people have following preventive care, or a survey of health indicators in a population who are accessing certain kinds of care.
Treatment decision support consists of the tools and processes used to enhance medical patients’ healthcare decision-making. The term differs from clinicaldecision support, in that clinical decision support tools are aimed at medical professionals, while treatment decision support tools empower the people who will receive the treatments. This service may be delivered at the site of healthcare services, or as an employee benefit through third-party providers.
The taxonomy of the burden of treatment is a visualization created for health care professionals to better comprehend the obstacles that interfere with a patient's health care plan. It was created as a result of a worldwide, qualitative-based study that asked adults with chronic conditions to list the personal, environmental, and financial barriers that burden a patient. The purpose of this visualization is to help health care providers develop personalized management strategies that the patient can follow through a narrative paradigm. The goal is to target interventions, achieve an interpersonal doctor-patient relationship, and improve health outcomes.
In the domain of hospital medicine, interdisciplinary bedside rounds are a collaborative approach to patient care that involves the participation of the bedside nurse, primary provider, and the patient. They are often joined by family members and allied health professionals such as the patient's pharmacist and case manager.
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