What can we learn from rapidly developed patient decision aids produced during the covid-19 pandemic?BMJ 2022; 378 doi: https://doi.org/10.1136/bmj-2022-071530 (Published 29 September 2022) Cite this as: BMJ 2022;378:e071530
- Michael J Barry, professor1,
- Martin Härter, professor23,
- Mowafa Househ, professor4,
- Karina Dahl Steffensen, professor56,
- Dawn Stacey, professor7
- 1Department of Medicine, Harvard Medical School, Boston, MA, USA
- 2Department of Medical Psychology, Center for Health Care Research, University Medical Center Hamburg-Eppendorf, Germany
- 3Agency for Quality in Medicine, Berlin, Germany
- 4College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
- 5Center for Shared Decision Making, Vejle/Lillebaelt University Hospital of Southern Denmark, Vejle, Denmark
- 6Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark
- 7University of Ottawa, Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Correspondence to: M J Barry
The World Health Organization reports that over half a billion confirmed cases and over six million deaths are attributed to the virus SARS-CoV-2 worldwide.1 This grim toll might be an undercount of the true burden.2
Since the beginning of the covid-19 pandemic, the scientific, medical, and public health responses have been remarkable. Scientific developments include an understanding of viral transmission, the effectiveness of public health measures, and the deployment of effective vaccines and antivirals.3 Although much work still needs to be done to ensure that these measures are equitably implemented worldwide, the speed of progress was remarkable. WHO estimates, for example, that over 11 billion vaccine doses have been given; although distribution of vaccine varies widely.4 These scientific developments have led to a wide variety of health decisions related to covid-19—including those made by governments, particularly by public health authorities; the vaccine and drug industry; and groups of health professionals. In this article, we focus on the decisions people had to make to prevent, test for, or treat covid-19 for themselves or their families (box 1).5
Health decisions people and families faced during covid-19 pandemic
Decisions about prevention: public health measures
The degree to which they should isolate from others, including whether to travel
Whether and when to wear a mask
Whether to keep a vulnerable family member in an assisted living facility or nursing home
Decisions about covid-19 vaccination
Whether to accept covid-19 primary vaccination, including during pregnancy
Whether to get a covid-19 booster vaccination
Advanced care planning decisions in the event of infection
Home versus hospital care
Treatment in an intensive care unit
Treatment with mechanical ventilation
Therapeutics for infection and prevention of transmission
Accepting or declining monoclonal antibody treatment
Accepting or declining antiviral treatments
Duration of isolation
Preventive therapies for exposed family members
Decisions about healthcare for other conditions
Seeking or avoiding care for acute and chronic illnesses including cancer care, dental care, preventive care, and surgery
Based on the authors’ experiences as clinicians and researchers, as well as a survey of Canadians, describing the decisions they faced during the early phases of the pandemic.5
We also consider the ways in which patients can be supported in making decisions about covid-19 and other rapidly evolving health challenges. People were making health decisions in the setting of fast moving scientific evidence and often in the face of widespread misinformation. We acknowledge that, in many settings, people did not have the resources to make these decisions.
Shared decision making and patient decision aids
Shared decision making empowers patients (and others, including family members) to make informed values-based medical decisions between reasonable options with a clinician (and often a clinical team). The patient, once informed, participates in decision making to the extent that they desire. In the process, the clinician shares information about the health condition, the management options, and the possible outcomes. The patient shares information about how they value the possible outcomes and ultimately, if they want, their preferences for management. Together, they reach and implement a decision informed by the best evidence and patients’ preferences.6
Patient decision aids are tools that can support shared decision making. The International Decision Aid Standards (IPDAS) Collaboration describes patient decision aids as “interventions designed to help people make specific, deliberative choices. They make explicit the decision, providing balanced information on the options and outcomes that are relevant to a patient’s health status, and help patients clarify personal values for features of options. They are intended as adjuncts to counseling.” Box 2 gives the criteria used to define a decision aid.7
IPDAS definition criteria for patient decision aids
Describes the condition (health or other) related to the decision
Describes the decision that needs to be considered (the index decision)
Lists the options (healthcare or other).
Has information about the positive features of the options (such as benefits and advantages)
Has information about negative features of the options (such as harms, side effects, disadvantages)
Helps patients clarify their values for outcomes of options by asking people to think about which positive and negative features of the options matter most to them; or describing each option to help patients imagine the physical, social, or psychological effects; or both
Abundant evidence shows that shared decision making supported by patient decision aids improves the quality of health decisions. A 2017 Cochrane systematic review of 105 trials, with 31 043 participants, covering 50 treatment or screening decisions, found that patient decision aids significantly improved participants’ knowledge, accuracy of risk perceptions, and congruency between informed values and care choices compared with usual care.8 They also reduced uncertainty about which decision to take (decisional conflict), indecision about personal values, and the proportion of people who were passive in decision making. In a subgroup analysis, similar effects on knowledge and risk perceptions were seen for patient decision aids used in preparation for or during a consultation.
The many new health decisions people faced during the pandemic provided ample opportunities to use shared decision making and patient decision aids to help people make choices. But the urgency and disruption of the pandemic presented challenges to the traditional shared decision making model and introduced a need for rapid development and deployment of decision aids.
Lessons learnt during the pandemic
During the pandemic, visits to clinicians were frequently postponed or canceled.9 Traditional shared decision making at consultations was no doubt greatly affected. But shared decision making can also occur using telehealth with clinician interactions happening synchronously (such as by telephone or video calls) or facilitated through asynchronous communications (such as email or text messaging), which greatly accelerated during the pandemic.1011 Nevertheless, further research is needed to determine how “virtual shared decision making” can help achieve decision quality.1213
Patient decision aids had to evolve through rapid development methods and were sometimes used outside of clinician relationships. Given rapidly changing information, frequent updating was often required to keep up with the evidence. Research on patient decision aids and their implementation that began before the pandemic was also greatly affected, as many studies had to be put on hold as staff were not able to perform study procedures or were redeployed to clinical work. New methods to study the dissemination, implementation, and effects of shared decision making and patient decision aids were developed in parallel to evolving the processes and tools themselves.
Environmental scan of covid-19 decision support tools
With newly identified health decisions during the pandemic, we updated the Hospital of Ottawa’s international inventory of patient decisions aids.7 This inventory was established in 2006. Each decision aid is appraised against the IPDAS criteria for a patient decision aid (six items, box 1), to minimize risk of making a biased decision (six items, such as providing information about funding for development of the aid), and other quality criteria, such as how the evidence was selected or synthesized.14
We conducted an English language environmental scan in August 2021 using Google searches with the following keywords in combinations: coronavirus 2019, covid, vaccine, decision making. We appraised the 51 covid-19 educational resources that we found using the IPDAS criteria in box 1. Of these, 13 met all six IPDAS defining criteria for patient decision aids (table 1). When scored against a checklist aimed at reducing biased decisions, all 13 gave equal detail to the various decisions that were covered by the aid, 12 provided a publication date (but few reported their update policy), 10 reported evidence sources used (without necessarily describing the strength of evidence), and five reported on funding.
A limitation to this environmental scan was that it searched only English language sources, so resources in other languages would have been missed. The Robert Koch Institute (Berlin), for example, developed many decision support tools for covid-19 in German.15
Three covid-19 decision support tools
Even though the evidence evaluating covid-19 decision aids is sparse, it is useful to consider published studies that tackled common decisions that people faced during the pandemic and how the developers endeavored to develop aids at pace while the evidence around covid-19 was uncertain.
Decisions about moving elders out of retirement or nursing homes
A team of Canadian researchers developed two decision aids early in the pandemic that focused on whether to move a resident out of their group living situation back into a private family home when outbreaks were beginning in many group living facilities.16 The vulnerability of elderly residents to covid-19 morbidity and mortality, as well as the risk of transmission, made this decision particularly salient. The researchers rapidly assembled a multidisciplinary stakeholder team and developed decision aids based on the Ottawa Decision Support Framework. The need for tools tackling this decision was evident from hundreds of responses to a newspaper article on the topic.17
Given legal differences between publicly funded nursing homes and private retirement homes in Canada, two decision aids were created. The aids were paper based, suitable for downloading as a pdf file. The researchers abbreviated some of the steps of the Ottawa framework to produce the tools in just two weeks. For example, decisional needs were gathered from the responses to a newspaper article that recommended family members be removed from these living situations rather than a more formal prospective qualitative research process. Evidence on location of care for elderly people was taken from reviews from before the pandemic, supplemented by available regulations and policies. The decision aid template used had previously shown effectiveness in 24 randomized trials.18 Alpha and beta testing to revise the decision aid through user feedback were done with just a handful of people.
Despite the condensed approach and fast timeframe, the patient decision aids were endorsed by the Canadian National Institute of Ageing (as a “trusted source”) and disseminated in English and French through multiple websites. The decision aids were downloaded around 10 000 times in the first three weeks after publication. Although clinicians were involved in the development of the tool, most residents and families that used them to make the decision to stay in a group living facility or not did so on their own.
Decisions about advanced care planning
The speed with which elderly people could contract covid-19 and rapidly deteriorate lent new urgency to the documentation of people’s wishes regarding hospital admission, intensive care, and mechanical ventilation. Advanced Care Planning (APC) Decisions, a non-profit foundation that supports patient empowerment by promoting shared decision making, has previously developed short video decision aids focused on end-of-life planning.19 Many of these decision aids have been certified by the Washington State Healthcare Authority, the only certification program in the United States, to signal to users that they are trustworthy.20
Early in the pandemic, ACP Decisions produced some additional short videos, including “What is covid-19” and “Covid-19 vaccination.” These videos are available through a provider or health system license with ACP Decisions and were therefore not identified in the environmental scan.
A study evaluating the decision aid videos as part of a non-randomized intervention has been published.21 The intervention involved clinicians at 22 practices in a large New York City health system during the “second wave” of covid-19, from January to June of 2021. The clinicians were offered training in end-of-life care communication skills, and patients aged 65 or older were given the option of viewing the decision aid videos two weeks before or at a consultation (either in-person or virtual). During the intervention period, about 15 000 eligible patients had healthcare encounters, and the videos were viewed 5302 times, mostly at consultations.
The study’s primary outcome was documentation of an advanced care planning conversation during a healthcare encounter. Clinical records showed that 24% of patients in the intervention period from January 2021 to June 2021 had discussed advanced care planning compared with 18% in the six months before covid-19 (October 2019 to March 2020), and 13% during the first wave of covid-19 (April-September 2020); both differences were statistically significant. A subgroup analysis found that increases in documentation of an advanced care planning conversation were larger for black and Hispanic patients than for white patients.
Decisions about covid-19 vaccination
Nine decision aids covering choices related to covid-19 vaccination are listed in the Hospital of Ottawa’s international inventory of patient decision aids.7 They cover vaccine decisions for the general population, people with rheumatologic diseases, and people who are pregnant or breastfeeding. The French College of Teachers in General Practice has published a decision aid about whether to have the Pfizer-BioNTech vaccine.22 The developers wanted to tackle vaccine hesitancy through shared decision making. They used the IPDAS criteria and a literature review and qualitative interviews with patients, focused on vaccine hesitancy, to develop the aid. A “fact box” was developed with probabilities addressing vaccine efficacy and side effects. A steering group of clinicians and patients was assembled, and the two page decision aid available as an online file for downloading was constructed iteratively through meetings and alpha testing with clinicians and patients. Beta testing was done during clinician-patient encounters. The decision aid was supported by the French National Authority for Health (again another trusted source), which provided input during the development. So far, no details have been provided regarding dissemination.
The covid-19 pandemic created a host of new health decisions for people and families. Empowering patients to participate in these decisions required rapid development of decision support tools, including patient decision aids, without formal evaluation. Several of the patient decision aids, however, used proved templates like the Ottawa Framework and the IPDAS criteria that have consistently led to improved decision quality.8 Decision aids that are developed rapidly and efficiently are desirable for many health problems beyond covid-19. Box 3 summarizes some of the lessons from the case examples.
Considerations for developing patient decision aids rapidly for urgent health problems
Use an existing framework for development, such as the Ottawa Decision Support Framework
Meet the IPDAS definition and quality criteria
Recruit a multidisciplinary stakeholder team to participate in development
Join with a “trusted source” of information for both development and dissemination
Be flexible about how people will access the decision aid to make a more informed decision
In addition, shared decision making needed to evolve to encompass interactions outside the traditional face-to-face encounter with a clinician. The potential for technology to facilitate these interactions, both synchronously and asynchronously, holds great promise. In some cases, like the example of moving a relative out of a group living facility, decision aids were used for decisions that were being made largely outside the context of a clinician-patient relationship.
While the pandemic catalyzed new developments in decision support and shared decision making, similar approaches are likely to be applicable to support other health decisions.
The covid-19 pandemic has created many new decisions for people relating to the prevention and management of infection
Patient involvement in decision making has been supported by rapidly developed decision support tools with endorsement by trusted sources
Shared decision making can be implemented in new ways, including digital consultations facilitated by asynchronous communication by email and through patient portals in electronic medical records
Evidence is beginning to emerge that these approaches might improve the quality of covid-19 related decisions and the rapid development and dissemination methods could be applied to other decisions urgently requiring decision support
We acknowledge the work of Alda Kiss and Meg Carley, under guidance of Dawn Stacey at the University of Ottawa, who conducted the environmental scan for decision support tools related to covid-19 and added eligible decision aids to the A to Z international inventory (funded by Canadian Institutes of Health Research Priority Announcement: Patient-Oriented Research #PJK-175386).
Contributors and sources: The authors a have long collective experience in shared decision making and the development, implementation, and evaluation of patient decision aids including during the covid-19 pandemic. They have participated in the Cochrane Collaboration review of patient decision aids for screening and treatment decisions, and the International Patient Decision Aids Standards Collaboration. MH has expertise in health informatics and digital health to empower patients and clinicians. DS performed and provided the environmental scan of covid-19 patient decision aids and the Canadian survey to identify decisions and related needs during the pandemic described in the paper. All authors contributed to the writing of the paper and developing the list of references. MB is the guarantor.
Competing interests: We have read and understood BMJ policy on declaration of interests and have the following interests to declare: MB received a research grant in the past from Healthwise, a non-profit organization, through Massachusetts General Hospital. DS received payments for travel from the Joint Commission of Taiwan and Safer Care in Melbourne, Australia. The other authors have no declarations. MB is a member of the United States Preventive Services Task Force (USPSTF). This article does not necessarily represent the views and policies of the USPSTF.
This article is part of a series commissioned by The BMJ for the World Innovation Summit for Health (WISH) 2022. Funding for the articles, including open access fees, was provided by WISH, which is an initiative of the Qatar Foundation. The BMJ peer reviewed, edited, and made the decisions to publish. The series, including open access fees, is funded by WISH. The steering committee members were Angela Coulter, Mark Barone, Michael Barry, Maria Hägglund, Karina Dahl Steffensen, and Mowafa Househ. Richard Hurley and Paul Simpson were the lead editors for The BMJ.
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