Decision aids

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Decision aids are interventions or tools designed to facilitate shared decision making and patient participation in health care decisions.

Contents

Decision support interventions help people 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] These interventions aim to help people to deliberate, independently or in collaboration with others, about options by considering relevant attributes to help them forecast how they might feel about short, intermediate and long-term outcomes which have relevant consequences. [1] Decision aids can be of any type but are most commonly pamphlets, videos, or web-based tools. [2] [ needs update ] Decision aids support the process of constructing preferences and eventual decision making, appropriate to their individual situation. [1]

Usage

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. [3]

Efficacy

Decision aids provide people with a greater understanding of their medical treatment options and empower people to participate in their own health decision making. [4] [ needs update ] 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. [4]

No adverse effects have been identified. [4]

It is not clear what type of decision aid for patients is cost-effective. [4] It is also not clear 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. [4] It is not known if decision aids are helpful for people who are not strong readers. [4]

Producers

There are also many active research groups in the field, including the University of Ottawa, Dartmouth College, Cardiff University and Hamburg; the Agency for Healthcare Research and Quality uses the IPDAS standards [5] to produce its decision aids. [6]

While researchers and health care facilities have different approaches to producing these decision aids, engaging patients in the process appears to have benefits. Results of 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. [7]

Standards

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. [8] 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, [9] and, more recently, an assessment instrument (IPDAS) [10] to evaluate the quality of decision support interventions. In its November 2013 issue, 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. [11] 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. [12]

Related Research Articles

Evidence-based medicine (EBM) is "the conscientious, explicit and judicious use of current best evidence in making decisions about the care of individual patients." The aim of EBM is to integrate the experience of the clinician, the values of the patient, and the best available scientific information to guide decision-making about clinical management. The term was originally used to describe an approach to teaching the practice of medicine and improving decisions by individual physicians about individual patients.

Delirium is a specific state of acute confusion attributable to the direct physiological consequence of a medical condition, effects of a psychoactive substance, or multiple causes, which usually develops over the course of hours to days. As a syndrome, delirium presents with disturbances in attention, awareness, and higher-order cognition. People with delirium may experience other neuropsychiatric disturbances, including changes in psychomotor activity, disrupted sleep-wake cycle, emotional disturbances, disturbances of consciousness, or, altered state of consciousness, as well as perceptual disturbances, although these features are not required for diagnosis.

Palliative care is an interdisciplinary medical caregiving approach aimed at optimizing quality of life and mitigating suffering among people with serious, complex, and often terminal illnesses. Within the published literature, many definitions of palliative care exist. The World Health Organization (WHO) describes palliative care as "an approach that improves the quality of life of patients and their families facing the problems associated with life-threatening illness, through the prevention and relief of suffering by means of early identification and impeccable assessment and treatment of pain, illnesses including other problems whether physical, psychosocial, and spiritual". In the past, palliative care was a disease specific approach, but today the WHO takes a broader patient-centered approach that suggests that the principles of palliative care should be applied as early as possible to any chronic and ultimately fatal illness. This shift was important because if a disease-oriented approach is followed, the needs and preferences of the patient are not fully met and aspects of care, such as pain, quality of life, and social support, as well as spiritual and emotional needs, fail to be addressed. Rather, a patient-centered model prioritizes relief of suffering and tailors care to increase the quality of life for terminally ill patients.

<span class="mw-page-title-main">Health informatics</span> Computational approaches to health care

Health informatics is the study and implementation of computer structures and algorithms to improve communication, understanding, and management of medical information. It can be viewed as branch of engineering and applied science.

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.

Arden syntax is a markup language used for representing and sharing medical knowledge. This clinical and scientific knowledge language is used in an executable format by clinical decision support systems to generate alerts, interpretations, and to screen and manage messages to clinicians. This syntax is used to share medical knowledge within and across many health service institutions. Rule sets, called Medical Logic Modules (MLMs), comprise enough logic to make a single medical decision. Medical logic modules are written in Arden syntax, and are called by a program – an event monitor – when the condition they are written to help with occurs.

<span class="mw-page-title-main">Systematic review</span> Comprehensive review of research literature using systematic methods

A systematic review is a scholarly synthesis of the evidence on a clearly presented topic using critical methods to identify, define and assess research on the topic. A systematic review extracts and interprets data from published studies on the topic, then analyzes, describes, critically appraises and summarizes interpretations into a refined evidence-based conclusion. For example, a systematic review of randomized controlled trials is a way of summarizing and implementing evidence-based medicine.

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Psycho-oncology is an interdisciplinary field at the intersection of physical, psychological, social, and behavioral aspects of the cancer experience for both patients and caregivers. Also known as psychiatric oncology or psychosocial oncology, researchers and practitioners in the field are concerned with aspects of individuals' experience with cancer beyond medical treatment, and across the cancer trajectory, including at diagnosis, during treatment, transitioning to and throughout survivorship, and approaching the end-of-life. Founded by Jimmie Holland in 1977 via the incorporation of a psychiatric service within the Memorial Sloan Kettering Cancer Center in New York, the field has expanded drastically since and is now universally recognized as an integral component of quality cancer care. Cancer centers in major academic medical centers across the country now uniformly incorporate a psycho-oncology service into their clinical care, and provide infrastructure to support research efforts to advance knowledge in the field.

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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.

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<span class="mw-page-title-main">Glyn Elwyn</span> Physician-researcher and professor

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.

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.

Option Grid is the name for a tool for patients and providers to use together when they are discussing and deciding what best to do about possible options, either treatments or tests. The grid is published in the form of a summary table to enable comparisons between multiple potential treatments or options. The grids do this by using questions that patients frequently ask (FAQs), and are designed for use in face-to-face clinical encounters or to be given to patients to read for a few minutes, ahead of a conversation with a provider.

Evidence-based assessment (EBA) refers to the application of research and theory in selecting constructs for a specific assessment purpose, as well as informing the methods and measures used in the assessment process. This approach recognizes that, despite data from psychometrically robust measures, the assessment process inherently involves iterative decision-making. Clinicians formulate and test hypotheses by integrating often incomplete and inconsistent data. EBA has been shown to aid clinicians in reducing cognitive biases in their clinical decisions. Evidence-based assessment is a component of the broader movement towards evidence-based practices.

Lisa J. M. Caldon is a British professor and clinical lecturer specialising in oncology. In her 20 year career, Caldon has published some 20 papers in the field of medicine. These have appeared in some of the top medical and peer-reviewed journals in Britain and abroad, including Medical Education, the European Journal of Cancer, the British Journal of Surgery, Patient Education and Counseling, Psycho-Oncology, Future Oncology, BMC Medical Informatics and Decision Making, and The Lancet Oncology. Caldon has worked at The University of Sheffield and with Cancer Research UK.

References

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