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. 2025 Sep 13;17:267–287. doi: 10.2147/OAEM.S516347

Challenges in the Literature Around Context-Sensitive Implementation of Shared Decision Making in Emergency Medicine: A Scoping Review

Felix Wehking 1,, Friedemann Geiger 2, Fueloep Scheibler 2, Constanze Stolz-Klingenberg 2, Ina Monsef 3, Daniel Litsch 1, Stefanie Hemmer 1, Jan-Christoph Lewejohann 1
PMCID: PMC12442812  PMID: 40969823

Abstract

Background

Shared decision making is a healthcare method in which health personnel and patients collaboratively evaluate different management options for medical decisions. Despite possible restraints this method encounters in the context of emergency medicine, there is a growing body of evidence. This article critically appraises the current literature and challenges to inform future research efforts.

Methods

This scoping review respects the PRISMA- and PECOS-methodologies. Qualitative- and quantitative studies were included when exposing emergency health personnel or patients to collaborative care for medical decisions with multiple reasonable management options. PubMed, CENTRAL, APA PsycINFO, Web of Science, reference lists and research group remarks served as data sources. Three researchers handled title- and abstract screening; one researcher extracted and synthesized data. Basic data on study design, publication date, country of origin, estimates for time consumption and more were extracted through standardized forms for all publications. All outcomes from the randomized clinical trials were included and reported, following the authors’ conclusions. This includes effects on consultation times. Through tabular visualization, critical appraisal and author group discussions, challenges in the literature were summarized narratively. Neither risk of bias assessment nor meta-analysis were performed.

Results

Of 3954 hits, 3428 remained for the title- and abstract screening and 67 for data synthesis. Studies predominantly utilized observational designs (n=27), originated from the USA (n=50) and were published between 2011 and 2020 (n=46). The included randomized trials (n=6) report heterogeneous results on patient-reported outcome measures and resource utilization. Patient safety was reported as not affected. In three randomized trials, consultations were prolonged by 2 minutes on average. Through critical appraisal and author group discussions, six annotations on the literature on shared decision making in emergency medicine were stipulated.

Conclusion

Research on shared decision making in emergency medicine utilizes different, intertwined terminologies, originates mostly from the USA and focuses on decision aids. The few randomized trials exclude high-risk patients and suggest potential resource-saving effects without compromising patient safety. The formal increase in discussion times appears debatable.

Keywords: patient participation, evidence-based medicine, ethics, patient–physician collaboration, health communications, economics, future of healthcare

Plain Language Summary

Shared decision making between health professionals and patients might be useful in situations that hold more than one reasonable management option. While health professionals offer facts on the available options, patients contribute their preferences and needs. Shared decision making has been evaluated extensively in non-emergency situations. And even in emergency medicine, there are some articles about it. This literature review aims to outline the existing publications and associated challenges around shared decision making in emergency medicine. Therefore, several literature databases were searched for existing publications by three separate researchers. All publications containing data on patient participation in emergency departments were included in the summary. The narrative synthesis resulted in five annotations: Different terms are being utilized (1); most publications originate from the USA between 2010 and 2020 (2); interventions evaluate shared decision making aids (3); few randomized trials exist and they exclude high-risk patients, yet highlight potential reductions in resource use (4); consultations are reported as slightly prolonged (5), although this effect is debatable, considering qualitative aspects of time. These results raise implications for future research efforts that might lead to beneficial effects on aspects around ethics, the economy and patient satisfaction.

Introduction

Rationale and Objectives

Different perspectives emphasize the implications for patient participation in healthcare decisions. Ethicists might underline the importance of patient autonomy.1 Lawyers could add existing legal requirements for patient elucidation (§630 German Civil Code). Economists would probably highlight potential reductions in healthcare resource utilization.2 Lastly, physicians are likely to throw in possible improvements in the patient–physician relationship and treatment adherence.3 Consequently, patient-centered care has become subject to ongoing research. One modern concept around patient-centered care should be seen in shared decision making (SDM).4 Frameworks describe it as patients and providers evaluating several justifiable management options, respecting providers’ expertise and patients’ preferences likewise.5 Naturally, the terms patient participation, patient-centered care, shared decision making, informed consent and others overlap6 and are subject to constant development, depending on the underlying values, norms and understandings. This constant development also accounts specifically for the concepts around SDM.7

Emergency medicine (EM) poses no exception to efforts of patient-centered care.8 Just before the turn of the millennium, Yamamoto published two studies, exposing parents of children with fever9 and skin lacerations10 towards collaborative care. While these efforts were labeled informed consent (yet included aspects of today’s SDM), more recent literature is clearly labeled as the latter.8 At this point, one might argue that emergency departments (EDs) are barely feasible for patient participation as they contain a noisy environment, time restraints and patients potentially holding time-sensitive pathologies.8 Yet, the most recent systematic review on SDM in EDs by Ubbink et al highlights a relevant number of publications.11 In addition to their work, this article longs to examine challenges in the literature, moving the discussion from what to why. For this broad approach, a scoping review was seen as a feasible study design. Furthermore, three questions guided the methodological conception: 1. What is the current evidence on SDM in EM? 2. What effects of SDM interventions on EM do existing randomized clinical trials (RCTs) suggest? 3. Does SDM in EM lead to longer consultation times? These questions were developed together with emergency physicians who – in contrast to the academic literature – face more practical challenges around patient participation in their work. If RCTs suggested benefits in economic aspects or patients’ clinical outcomes or satisfaction, this would strengthen the implication for SDM in EM. Lastly, consultation times are repeatedly stated by clinicians as one barrier to the implementation of collaborative care.12

Materials and Methods

Protocol and Registration

This scoping review is reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR)13 that is depicted in the supplementary material. The review was registered on the Open Science Framework.14

Eligibility Criteria, Information Sources and Search

An information specialist (IM) helped to develop the search strategy. It is intended to reflect the different terms used to describe attempts to foster SDM. PubMed, Cochrane Central Register of Controlled Trials, APA Psycinfo and Web of Science were searched until 21st July 2024. Reference lists of included articles and research group remarks were last appraised on 25th July 2024. All publications on human subjects were included if written in English or German. The full search strategy is provided in the supplementary material. Articles were handled in a reference manager (Clarivate End Note 21).

Selection of Sources of Evidence

Utilizing a PECOS framework (Box 1),15 all publications on settings in the ED and resuscitation services were included. They had to expose patients or health personnel to concepts of collaborative care like patient participation, patient-centered care or informed consent. More than one available and reasonable management option had to be present. Qualitative and quantitative data were eligible from both prospective and retrospective study designs. In detail, RCTs, pre-post-designs, hypothetical scenarios, interrupted time series and observational studies were included. Purely theoretical studies presenting frameworks without new primary or secondary data were omitted. Also, case reports, opinion pieces, editorials, comments, newspapers, letters and grey literature were excluded. Lastly, articles were omitted when examining patients’ intention to participate in research, as this poses no decision related to patients’ medical treatment in the ED.

Box 1.

PECOS-Scheme

Population: patients and health professionals facing medical decisions in emergency departments or prehospital resuscitation services with more than one reasonable management option, excluding the decision to participate in research.
Exposure: efforts to engage health personnel and patients in collaborative decision making (shared decision making) including patient activation, information, decision participation, preference elicitation or values clarification.
Control: studies without control groups (eg observational studies) will be included likewise.
Outcomes: For overview purposes, all publications will be summarized narratively. All included publications will be scanned for changes in consultation times. From the randomized clinical trials, all primary and secondary outcomes will be extracted.
Study types included: Qualitative and quantitative studies such as randomized controlled trials, non-randomized trials, pre-post designs, hypothetical scenarios, interrupted time series, observational studies (prospective and retrospective), cross sectional studies (interviews and surveys).
Study types excluded: Theoretical studies without real-life data, case reports, opinion pieces, editorials, comments, newspapers, letters.

Two researchers (FW and DL) independently screened titles and abstracts for eligibility without automation tools. In case of discrepancies, a third author (FS) arbitrated. The same three researchers appraised the articles’ full texts afterward.

Data Charting Process and Data Items

One author (FW) extracted data from the included studies. First, on all publications, basic information was retrieved, including first author, publication date, country, topic, participant numbers, study design and a short narrative summary of the authors’ conclusions. Second, all included publications were scanned in full text for the effects of SDM on consultation times in EM. The average consultation times were extracted alongside the standard deviation and p-values. Third, all outcomes from the RCTs were collected and their results stated according to the authors’ conclusions. RCTs were chosen as the only source for outcome results as their design offers a solid level of scientific validity.

All extracted data were visualized in separate forms created in a word processing program (Microsoft Word). Compared to the initial study protocol, these sheets received modifications during the extraction process.

Synthesis of Results

For overview purposes, five major study design categories were defined: (1) observational (including interviews, surveys, etc).; (2) development and implementation reports; (3) non-randomized interventions and hypothetical scenarios; (4) randomized interventions and their secondary analyses; (5) literature reviews; (6) mixed methods designs. Each publication was sorted into one category and results were visualized in a hierarchical figure. Apart from that, the countries were displayed on a world map. Lastly, the results from RCTs alongside effects on consultation times were summarized in tables.

The resulting tables and figures were critically appraised and discussed within the author group, respecting all included publications. Results were described narratively. Neither meta-analysis nor statistical evaluation were performed.

Results

Selection of Sources of Evidence

The search strategy yielded 3954 hits, of which 3428 remained after duplicate removal. Sorting out 3359 of them during title- and abstract screening and 10 during full-text appraisal left 59 publications for data extraction. On the other hand, 8 publications were added by searching through the included publications’ reference lists or by research group remarks.16,34,46,55,56,59,68,76 This process resulted in a total of 67 publications included in further data synthesis (Figure 1).9,10,12,16–79 All articles removed during full-text appraisal are listed in the supplementary material.80–89

Figure 1.

Figure 1

Adapted search flow diagram following the PRISMA 2020 statements.

Notes: PRISMA figure adapted from Tricco AC, Lillie E, Zarin W et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation. Ann Intern Med. 2018 Oct 2;169(7):467–473. doi: 10.7326/M18-0850. Epub 2018 Sep 4. PMID: 30178033. Creative Commons.13

Characteristics and Results of Sources of Evidence

All included publications are listed in Table 1. As for study designs, 27 publications are of observational design and 12 publications report on developments or implementations of interventions, teaching programs or tools to measure SDM. Furthermore, 10 publications depict hypothetical scenarios or non-randomized interventions. Aside, 4 publications utilize mixed-method designs. An additional 6 publications report on randomized contorlled trials and 4 on secondary analyses of those RCTs. Lastly, 4 publications are literature reviews (Figure 2).

Table 1.

Included Publications

Number First Author
YEAR
Country
Study Design Data Collection Method Topic Population Narrative Summary Comments
1 Anderson
2021
USA16
Development of decision aid Multiple data collection methods Antibiotic choice in pediatric acute otitis media Development team including different professions and patients Decision aid completed /
4 Aronson 2021
USA17
Development of decision aid Multiple data collection methods Diagnostic work-up in febrile infants Development team including different professions and patients Decision aid completed /
Aronson 2019
USA18
Observational Interviews Perform lumbar puncture in febrile infants? N=23 physicians and nurses Barriers and facilitators described /
Aronson 2021
USA19
Observational Interviews Perform lumbar puncture in febrile infants? N=23 parents of febrile infants Parents’ views described /
6 Aronson 2022
USA20
Observational Interviews Hospitalizations in children with bronchiolitis N=44 physicians, nurses and parents Most hospitalizations indicated by physicians; clinicians’ barriers to SDM described /
Aronson 201821 Narrative review / Shared decision making for parents of acutely ill children N=10 studies Authors state missing evidence Some included studies not performed in emergency departments or resuscitation services
7 Barnes 201622 Systematic review / Decision aids for anticoagulation in venous thromboembolism N=2 studies Authors state missing evidence One study conducted in primary care
8 Bean 2021
USA23
Mixed methods: Implementation of decision aid and observational Questionnaires and interviews Work-up in adults with atraumatic chest pain N=19 physician interviews; n=184 study participants (patients) Barriers and facilitators described; patients satisfied with SDM; physicians describe limited acceptance SDM part of complex intervention including standardized work-up and risk stratification score
9 Billah 2022
USA24
Observational Interviews Decision aids in EDs N=20 physicians Barriers and facilitators described /
10 Chartash 2021
USA25
Mixed methods: development of language processing tool and retrospective analysis of ED notes / Broad spectrum of conditions N=600 ED-notes examined Language processing tool developed; factors influencing the appearance of SDM described (eg gender and race) /
11 Coronado-Vázquez 201926 Systematic review / Available SDM-tools in EDs N=4 studies SDM might increase knowledge and satisfaction /
12 Cullison 2016
USA27
Observational Questionnaires Analgetic choice in musculoskeletal pain N=157 older patients SDM associated with greater satisfaction with analgesia; no association between SDM and pain reduction or actual analgetic selection /
13 Dubois 2023
Sweden28
Development of observation tool for patient participation Multiple data collection methods Patient involvement in emergency situations / Observation tool developed /
14 Dyrstad 2015
Norway29
Observational Interviews Admit older patient to hospital? N=27 physicians Barriers and facilitators described /
15 Eriksson-Liebon2021
Sweden30
Observational Interviews Involving ED patients in their care N=16 patients Expectations and experiences described /
Fabricius 2022
Denmark31
Observational Observations and interviews Medication decisions in older patients with polypharmacy Healthcare providers (physicians, nurses and more) and older patients with polypharmacy; N=65 observations; N=14 interviews Barriers and facilitators described /
16 Fabricius 2021
Denmark32
Observational Observations and interviews Medication decisions in older patients with polypharmacy Healthcare providers (physicians, nurses and more); N=48 healthcare providers observed; N=20 interviews Barriers and facilitators described /
18 Flynn 201233 Systematic review / SDM in EDs N=5 studies SDM might increase patients’ knowledge and satisfaction and decrease resource use /
19 Flynn 2015
United Kingdom34
Development of decision aid Multiple data collection methods Perform thrombolysis in acute stroke? Development team including different professions and patients Decision aid completed /
20 Frank 2009
Sweden35
Observational Interviews Patient participation in emergency care N=11 healthcare professionals Caregivers’ conceptions of patient participation described as conditional /
21 Frank 2009
Sweden36
Observational Interviews Patient participation in emergency care N=9 patients Three conceptions described: being acknowledged, struggling to be involved, having clear space /
22 Frank 2011
Sweden37
Development of questionnaire Questionnaire development process based on patient sample Patient participation in emergency departments N=356 patients Questionnaire developed /
23 Frank 2011
Sweden38
Observational Questionnaires Patient participation in emergency departments N=356 patients Patient participation described as requiring improvement /
24 Freeman 2020
USA39
Observational Questionnaires Stool collection through patient or providers in suspected occult blood? N=100 patients 51% of patients chose to collect samples themselves; younger patients tend more towards self-collection than older patients /
25 Gafni-Pappas 2018
USA40
Pre-post design Data from healthcare records Hospital admission or discharge in atraumatic chest pain N=13445 patients Hospital admissions decreased while rate of adverse events was unchanged Complex intervention including diagnostic protocol and risk score
26 George 2022
Germany41
Development of decision aid Multiple data collection methods Hospital admission in palliative patients at end of life Development team including different professions and patients Decision aid completed Decision aid includes additional aspects around palliative care
27 Geyer 2014
USA42
Mixed methods: Hypothetical scenario and observational Questionnaires Perform computed tomography to detect pulmonary embolism? N=203 patients 37% of patients refused testing /
28 Hadden 2020
USA43
Pre-post design evaluating decision aid Questionnaires and healthcare records Hospital admission or discharge in atraumatic chest pain? N=169 patients Hospital admissions decreased; knowledge increased; no differences in decisional conflict, satisfaction or health literacy /
30 Hess 2016
USA44
RCT evaluating decision aid Questionnaires and healthcare records Further work-up in atraumatic chest pain N=898 patients Knowledge increased; resource use decreased; patient safety unchanged /
31 Hess 2018
USA45
RCT evaluating decision aid Questionnaires and healthcare records Computed tomography or active observation in children with head trauma? N=971 children with head trauma and their parents Knowledge increased; mixed results for resource use; patient safety unchanged /
Hess 2012
USA46
RCT evaluating decision aid Questionnaires and healthcare records Further work-up in atraumatic chest pain N=204 patients Knowledge increased; resource use decreased; patient safety unchanged /
32 Holland 2016
USA47
Observational Questionnaires Analgetic choice in acute musculoskeletal pain N=94 older patients SDM associated with patient satisfaction; not associated with analgetic choice or pain reduction /
33 Hull 2015
USA48
Observational Questionnaires Perform computed tomography in children? N=350 parents and their children When likelihood of positive findings decrease, parents are less willing to opt for computed tomography; patients demand informed consent /
34 Hung 2022
Taiwan49
Observational Questionnaires Effects of SDM N=165 patients in emergency observation units SDM showing mediating effect on healthcare satisfaction /
35 Ijaz 2017
USA50
Observational Questionnaire Perform computed tomography? N=100 patients receiving computed tomography Same amount of patients who want to participate/not participate in decision making /
36 Ijaz 2018
USA51
Observational Questionnaires, observations and healthcare records Perform computed tomography? N=29 patients with abdominal pain Patient and provider preferences not associated with involvement; preferences not associated with computed tomography rates /
37 Isaacs 2013
USA52
Observational Questionnaires Analgetic choice in acute musculoskeletal pain N=111 older Patients Greater participation associated with satisfaction and pain reduction /
38 Kanzaria 2015
USA53
Observational Questionnaires Potential and barriers of SDM N=435 physicians Barriers and facilitators described /
39 Kanzaria 2020
USA54
Implementation of teaching program Observations Different scenarios N=28 emergency medicine residents 75% of residents able to reproduce all steps from SDM-process two months after training /
40 Karpas 2009
USA55
Non-randomized intervention Questionnaire Oral or venous rehydration in children with vomiting and/or diarrhea? N=260 children and their parents 38% preferred oral, 62% intravenous rehydration /
41 Karpas 2013
USA56
Non-randomized intervention Questionnaire Perform observation or head computed tomography in children with head injury? N=134 children and their parents 57% preferred observation, 40% immediate computed tomography /
42 Melnick 2017
USA57
Development of decision aid Multiple data collection methods Computed tomography, observation or discharge in traumatic head injury? Development team including different professions and patients Decision aid completed /
43 Merck 2015
USA58
Pre-post design Health records Informed consent for computed tomography N=7684 patients Implementation of informed consent associated with decrease in computed tomography utilization in low-risk patients /
44 Minneci 2019
USA59
RCT using decision aid Questionnaires and healthcare records Surgery or conservative treatment in pediatric appendicitis? N=200 children and their parents No difference in several outcomes /
45 Obadeyi 2020
USA60
Non-randomized intervention Questionnaires Perform landmark- or ultrasound-guided placement of intravenous catheter? N=50 patients Decision aid improved knowledge; more patients preferred landmark-based placement /
46 Omaki 2021
USA61
RCT evaluating decision aid Questionnaires Opioid prescriptions N=224 patients Knowledge increased; pain control unchanged /
47 Poitras 2020
Canada62
Development of decision aid Multiple data collection methods Usual care or case management in patients with complex healthcare resource needs? Development team including different professions and patients Decision aid completed /
Probst 2018
USA63
Development of decision aid Multiple data collection methods Hospital admission or discharge in syncope? Development team including different professions and patients Decision aid completed /
48 Probst 2016
USA64
Observational Questionnaires Common clinical presentations N=709 physicians Barriers and facilitators described; SDM seen as helpful and not leading to more lawsuits /
Probst 2020
USA65
RCT evaluating decision aid Questionnaires and healthcare records Hospital admission or discharge in syncope? N=50 patients No difference in outcomes Study not powered to detect differences
50 Probst 2018
USA66
Secondary analysis of RCT evaluating decision aid Statistical evaluations Point of time and extent of further cardiac work-up in atraumatic chest pain N=898 patients Study site and decision aid use associated with involvement; higher health literacy associated with greater involvement desire /
52 Rising 2018
USA67
Secondary analysis of RCT evaluating decision aid Statistical evaluations Point of time and extent of cardiac work-up in atraumatic chest pain focusing on vulnerable patients N=898 patients No clear benefits for vulnerable patients /
53 Rodriguez 2014
USA668
Hypothetical scenarios Questionnaires Perform computed tomography? N=941 patients with trauma Most patients prefer discussing radiation risks and costs; when odds of life-threatening disease decrease, fewer patients opt towards computed tomography /
54 Rosen 2023
USA69
Pre-post design evaluating decision aid Multiple data collection methods Surgical or conservative treatment in adult appendicitis? N=24 patients Decisional conflict unchanged; knowledge increased /
Schoenfeld 2019
USA12
Observational Interviews Perceptions of SDM N=15 physicians Barriers and facilitators described /
55 Schaffer 2018
USA70
Secondary analysis of RCT evaluating decision aid Statistical evaluations Point of time and extent of cardiac work-up in atraumatic chest pain N=898 patients Resource utilization decreased; other outcomes not compromised /
Schoenfeld 2018
USA71
Observational Interviews Perceptions of SDM N=29 patients and proxies Barriers and facilitators described /
56 Schoenfeld 2016
USA72
Observational Interviews Motivations for using SDM N=15 physicians Barriers and facilitators described; some physicians unaware of term “shared decision making” /
58 Schoenfeld 2018
USA73
Observational Interviews Use of SDM N=15 physicians Implications for resident education in SDM identified /
Schoenfeld 2020
USA74
Development of decision aid Multiple data collection methods Perform computed tomography in suspected uncomplicated ureterolithiasis? Development team including different professions and patients Decision aid completed /
59 Schoenfeld 2018
USA75
Observational Questionnaires Preferences for SDM N=661 patients Patients hold desire to be involved in decision; some patients wait for their physicians to involve them /
62 Schoenfeld 2019
USA76
Hypothetical scenario Questionnaires Different conditions N=804 patients Patients exposed to SDM less likely to file lawsuit /
Schoenfeld 2019
USA77
Observational Questionnaires Presence of SDM N=285 patients Less than half of patients reported being involved in decision; SDM connected to patients’ high rating of discussions; most SDM discussions happened around disposition decisions /
64 Skains 2020
USA78
Secondary analysis of RCT evaluating decision aid Statistical evaluations Computed tomography or active observation in children with head trauma? N=971 children and their parents Trust in physician increased in socioeconomically disadvantaged patients /
65 Walker 2021
USA79
Development of conversation guide Multiple data collection methods Extent of care – CPR yes/no, symptom relief vs repair Development team including different professions and patients Conversation guide completed /
66 Yamamoto 1997
USA9
Non-randomized intervention Questionnaires Perform lumbar puncture in febrile children? N=37 children and their parents When physicians gave no recommendation, most patients chose against testing /
67 Yamamoto 1997
USA10
Mixed methods (1) non-randomized intervention, (2) hypothetical scenario Questionnaires Perform procedural sedation and choice of local infiltrate for children with skin lacerations N=45 children and their parents All parents refused sedation; for local infiltrate, more patients chose lidocaine over tetracaine-adrenaline-cocaine /

Figure 2.

Figure 2

Designs and publication dates of included studies.

Looking at geographic distributions, 50 of the 67 publications originate from the USA and 9 from Nordic countries (Norway 1, Denmark 2, Sweden 6). Germany, the UK, Canada and Taiwan all contribute 1 article each. The remaining reports (4) are literature reviews (Figure 3). As for publication dates, 2 articles were published before 2000, 3 between 2000 and 2010, 46 between 2011 and 2020 and 16 after 2020. Different topics are depicted in the studies, ranging from general perceptions of SDM by patients71 and healthcare providers12 over deciding between different treatment options (eg oral vs venous rehydration in children with vomiting and diarrhea)55 up to medication decisions in older patients.31 Study participant numbers range from n=936 to n=13445.40

Figure 3.

Figure 3

Publications sorted by country.

All outcomes in the 6 RCTs44–46,59,61,65 were extracted and appraised, following the authors’ conclusions (Table 2). Apart from patient-reported outcome measures (PROMs),44–46,59,61,65 studies examined effects on resource utilization rates,44–46,59,61,65 clinical outcomes59,61 and patient safety.44–46,59,65 These outcome effects are reported with heterogeneous effects – ranging from no effect to improvements. While clinical outcomes and patient safety are described as not being affected, the results for PROMs and resource utilization rates differ between improvement and no change. No declines are reported.

Table 2.

Outcome Effects in Randomized Clinical Trials on Shared Decision Making in Emergency Medicine According to Authors’ Conclusions

Outcomes Hess 201246
Chest Pain
USA
Hess 201644
Chest Pain
USA
Hess 201845
Head Computed Tomography
USA
Minneci 201959
Pediatric Appendicitis
USA
Omaki 202061
Pain Medication USA
Probst 202065
Syncope
USA
No Sufficient Power in Study to Detect Differences
Knowledge of disease Self-created questions Self-created questions Self-created questions Self-created questions Self-created questions Self-created questions
Decisional conflict and Decisional self-efficacy Decisional Conflict Scale Decisional Conflict Scale Decisional Conflict Scale Decisional Conflict Scale and Decisional Self-Efficacy Scale Decisional Conflict Scale Decisional Conflict Scale
Patients’ trust in physician Trust in Physician Scale Trust in physician scale Trust in physician scale
Patients’ engagement in SDM/decision OPTION scale OPTION scale OPTION scale Preparation for Decision Making Scale and Parent-Patient Activation Measure Self-created questions OPTION scale
Patients’ satisfaction Healthcare satisfaction through PedsQL Comfort with different analgetics through self-created questions Satisfaction with care through self-created questions
Management/resource use Observation unit admissions and cardiac stress testing Rates of hospital admission, cardiac stress testing, coronary computed tomography, percutaneous coronary intervention, coronary bypass grafting Rates of computed tomography within one week after event, laboratory, primary and specialty visits, ED length of stay, hospital admissions, bouncebacks Length of hospital stay, readmissions, choice between operative and non-operative management Opioid prescription rates Rates of hospital and observation unit admissions
Clinical outcome Disability days after 1 year and health-related quality of life through self-reports and PedsQL 4.0 Pain control through visual analogue scale
Patient safety Major adverse cardiac events Major adverse cardiac evens Missed traumatic intracerebral bleedings Failure of non-operative management and complicated appendicitis rate New relevant clinical diagnosis
Evaluation of intervention and decision making process Patients’ satisfaction with decision process and clinicians’ satisfaction with decision aid – self-created questions Helpfulness of information and decision aid via self-created questions Satisfaction with decision and information Patients’ and providers satisfaction with information

Notes: Inline graphic

Respecting all 67 included studies for estimates of discussion time modifications through SDM suggests an average increase of 2 minutes in 3 randomized trials.44,45,65 Another study (decision aid development report)34 solely reported on how long participants spent with the developed information material (Table 3).

Table 3.

Effects of Shared Decision Making Interventions on Consultation Times in Emergency Medicine

First Author And Year Topic Study Type Time Measurement SDM Time Consumption
Flynn 201534 Thrombolysis in acute stroke Decision aid development report Decision aid usage time measured through the electronic device the decision aid was presented on Usage time between 0.7 and 30 minutes
Median 2.8 minutes, IQR 7.6 minutes
Hess 201644 Chest pain Randomized controlled trial of decision aid Discussion time between doctors and patients taken from audio and video recordings Usual care: 3.1 minutes (standard deviation 0.29 minutes)
Intervention: 4.4 minutes (standard deviation 0.40 minutes)
Discussions 1.3 minutes longer (P=0.008)
Hess 201845 Head computed tomography after trauma Randomized controlled trial of decision aid Discussion time between doctors and patients taken from audio and video recordings Usual care: 5.5 minutes (standard deviation 0.20 minutes)
Intervention: 7.6 minutes (standard deviation 0.40 minutes)
Discussions 2 minutes longer (P<0.01)
Probst 202065 Syncope Randomized controlled trial of decision aid Discussion time between doctors and patients taken from audio and video recordings Usual care: 3.29 minutes (standard deviation 0.20 minutes)
Intervention: 5.26 minutes (standard deviation 0.40 minutes)
Discussions 1.57 minutes longer (p=0.003)

Discussion

Summary of Evidence

This scoping review includes 67 publications reporting qualitative and/or quantitative data on SDM in EM.9,10,12,16–79 They utilize different observational and interventional study designs. All publications were sorted according to their study design, country and reported results. During the subsequent discussion within the author group, five annotations were phrased.

Annotation #1

Certain terms and definitions are blurry and intertwined.

Substantiation

Human communication involves language, interactions, social norms and more. The definitions and concepts around these intertwine and evolve. This also accounts for SDM.6 Looking specifically at EM, the terms informed consent, patient participation and SDM are used with different yet partially overlapping operationalizations. While Yamamoto in 1997 used the term informed consent when exposing children alongside their parents to different possible managements in fever9 or skin lacerations,10 more recent interventions by Hess in patients with nontraumatic chest pain are labeled shared decision making.44 At the same time, these publications show parallels in their intervention designs. The range in terminologies should be considered when appraising the literature, as some reports might otherwise be missed. More recent and (partially) consented concepts for SDM are described in the papers published by members of the International Shared Decision Making Society (ISDM).90 Apart from that, another potential misunderstanding occurred: the term decision aid is sometimes used to describe clinician-directed tools that assess patients’ risk profiles or illustrate management pathways.91 This is in contrast to the concept of decision aids by the ISDM. Here, decision aids depict material that informs and activates patients, supporting their decision process.92 To clarify this, future interventions could utilize the term shared decision making aid.

Annotation #2

The available literature predominantly originates from the USA between 2011 and 2020.

Substantiation

While Denmark, Norway, Germany and Canada contribute single publications, the majority is reported from studies in the USA. In a brainstorming approach, one could postulate several reasons for explanation: a) EM is a standalone medical specialty in the USA, b) SDM is supposed to meet medicolegal and economic expectations – both important parts of emergency healthcare in the USA, c) the American emergency healthcare system might be more curious towards innovations. Definite proof of such assumptions lies beyond the scope of this review.

Annotation #3

Interventions focus on evaluating shared decision making aids.

Substantiation

While the spectrum of included topics varies, shared decision making aids depict the preponderant part of evaluated interventions – apart from one training program for residents.54 Decision aids are evidence-supported information and activation sources assisting patients throughout the decision process. Their focus lies in enabling the patient to make medical decisions that are in line with existing needs and predilections (preference sensitivity). The existing IPDAS-criteria frame methodologies around decision aid development.82 An extensive Cochrane review revealed the potential of decision aids to positively influence various aspects of healthcare.93

Annotation #4

Few randomized SDM interventions have been enrolled. They exclude high-risk patients and suggest potential reductions in healthcare resource utilization in certain patient groups.

Substantiation

A total of 6 publications, plus additional secondary analyses, report on RCTs evaluating shared decision making aids. While their effects on patient-reported outcome measures differ, 3 studies around chest pain44,46 and head computed tomography45 highlight potential reductions in resource utilization without affecting patients’ safety. This is also described in the most recent meta-analysis by Ubbink et al.11 It should be noted that these results are limited to patients with certain leading symptoms and low to intermediate risk profiles. One might insinuate that such low-risk patients probably receive overdiagnosis, which could safely be omitted, or, through SDM, collaboratively prevented. While all randomized interventions currently originate from the USA using shared decision making aids, there might be different outcome effects in future, multimodal interventions from other countries.

Annotation #5

The effects on consultation times appear debatable.

Substantiation

As for quantitative aspects, the existing trials suggest an increase of about two minutes on average.44,45,65 However, this should not be deemed a certainty at this point. Discussion times were measured after intervention implementation and clinicians probably had to adapt to the concepts of SDM. In the long term, the increase in discussion times could be reversed. Here, long-term data is missing. Furthermore, avoiding one hospital admission in a patient with nontraumatic chest pain includes a greater reduction in resource utilization than two additional minutes in discussion times poses an increase. Apart from these economic evaluations, one might even ask whether increasing patients’ autonomy and participation justifies increased consultation times (qualitative vs quantitative aspects of time).94

Respecting these five annotations led to a range of potential implications for future research around SDM in EM (Box 2). They include new concepts for patients’ SDM-feasibility, training programs for clinicians, measurement tools and implementation through complex interventions that demonstrated efficacy outside the emergency context.95

Box 2.

Implications for Future Research Around Shared Decision Making in Emergency Medicine

Potential implications:
  • Examining patients’ feasibility for SDM alongside influencing factors (eg risk profile, symptom burden)

  • Determining the impact of patients’ social determinants and clinicians’ bias on the SDM-process

  • Engaging vulnerable patient groups

  • Creating and evaluating methods to measure the SDM-process and effects

  • Enrolling standardized clinician-targeted training programs

  • Implementing more complex, multifaceted interventions

Limitations

Although a broad search strategy was installed using different terms and databases, some existing publications might have been missed. This is due to the different labeling of interventions (like shared decision making, patient-centered care, informed consent, decision support, patient participation …). These intertwingled terms depict dynamic concepts with evolving definitions and understandings. Also, some studies were excluded as their subjects greatly differed from the idea that SDM requires more than one reasonable management option. Here, one cannot argue with definite certainty as to what studies to in- or exclude. As for now, the most comprehensive definition of SDM could be seen in the consensus papers of the International Shared Decision Making Society80 and officially validated frameworks such as the IPDAS criteria.82

Apart from these inaccuracies around the concepts of SDM, it is even debatable where EM begins. In this article, it is operationalized as happening in EDs or rescue services. Yet, there are also interventions aimed at primary care practices where patients present with acute problems. This would result in a greater number of studies being included. However, it appears reasonable to define EM as happening in EDs and resuscitation services, as both are scientifically targetable organizational structures.

Lastly, two limitations should be noted. While readers find a comprehensive overview of the current state of literature on SDM in EM, no meta-analysis or statistical evaluations were performed. Therefore, definite certainty in the quantitative estimates is not given, although the narrative results in this review predominantly match with the meta-analysis by Ubbink et al.11 Lastly, data extraction was performed by a single researcher, potentially enabling bias. However, results were appraised and discussed within the author group afterwards.

Conclusions

Through a scoping review approach, five remarks on the current literature around SDM in EM were stipulated: First, the underlying terms and definitions hold partially varying and evolving terminologies. Second, most studies originate from the USA between 2011 and 2020 and utilize observational study designs. Third, interventional studies focus on evaluating shared decision making aids. Fourth, randomized trials exclude patients at high risk of serious conditions or adverse events. Utilizing SDM for diagnostic and disposition decisions in low to moderate-risk patients with nontraumatic chest pain reduced resource utilization while not affecting patient safety. The number of randomized trials is yet limited. Fifth, consultation times in EM were prolonged through SDM by about two minutes on average, although qualitative aspects of time might diminish this prolongation. Future research projects could include more extensive implementation through complex interventions or more differentiated concepts around patients’ feasibility for SDM.

Funding Statement

Open Access funding enabled and organized by Projekt DEAL.

Abbreviations

ED, Emergency department; EM, Emergency Medicine; SDM, Shared decision making; RCT, Randomized controlled trial; PROM, Patient-reported outcome measure

Data Sharing Statement

The study protocol and reference manager dataset are accessible through a data repository within the Open Science Framework (https://doi.org/10.17605/OSF.IO/CA7XU).14

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Disclosure

FW, FG, FS and CSK were members of the special project “MAKING SHARED DECISION MAKING A REALITY” which was funded by the German Federal Joint Committee (funding code: 01NVF17009). FG and FS are founders and shareholders of the “SHARE TO CARE GmbH”. Friedemann Geiger reports grants from German Innovation Fund and EU outside the submitted work. Fueloep Scheibler reports grants from Innovation Fund and Drug Companies outside the submitted work. Constanze Stolz-Klingenberg reports personal fees from Biomarin Pharmaceutical, Alexion Pharma Germany and Almirall Hermal outside the submitted work. Apart from that, other authors declare no competing interests.

References

  • 1.Sandman L, Munthe C. Shared decision-making and patient autonomy. Theor Med Bioeth. 2009;30(4):289–310. doi: 10.1007/s11017-009-9114-4 [DOI] [PubMed] [Google Scholar]
  • 2.Wehking F, Debrouwere M, Danner M, et al. Impact of shared decision making on healthcare in recent literature: a scoping review using a novel taxonomy. J Public Health. 2024;32:2255–2266. doi: 10.1007/s10389-023-01962-w [DOI] [Google Scholar]
  • 3.Deniz S, Akbolat M, Çimen M, Unal O. The mediating role of shared decision-making in the effect of the patient-physician relationship on compliance with treatment. J Patient Exp. 2021;8:23743735211018066. doi: 10.1177/23743735211018066 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Charles C, Gafni A, Whelan T. Shared decision-making in the medical encounter: what does it mean? (or it takes at least two to tango). Soc Sci Med. 1997;44(5):681–692. doi: 10.1016/S0277-9536(96)00221-3 [DOI] [PubMed] [Google Scholar]
  • 5.Elwyn G, Frosch D, Thomson R, et al. Shared decision making: a model for clinical practice. J Gen Intern Med. 2012;27(10):1361–1367. doi: 10.1007/s11606-012-2077-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Páez G, Forte DN, Gabeiras MDPL. Exploring the relationship between shared decision-making, patient-centered medicine, and evidence-based medicine. Linacre Q. 2021;88(3):272–280. doi: 10.1177/00243639211018355 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Clayman ML, Scheibler F, Rüffer JU, Wehkamp K, Geiger F. The six steps of SDM: linking theory to practice, measurement and implementation. BMJ Evid Based Med. 2024;29(2):75–78. doi: 10.1136/bmjebm-2023-112289 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Probst MA, Kanzaria HK, Schoenfeld EM, et al. Shared decisionmaking in the emergency department: a guiding framework for clinicians. Ann Emerg Med. 2017;70(5):688–695. doi: 10.1016/j.annemergmed.2017.03.063 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Yamamoto LG. Application of informed consent principles in the emergency department evaluation of febrile children at risk for occult bacteremia. Hawaii Med J 1997;56:313–7,20–2. [PubMed] [Google Scholar]
  • 10.Yamamoto LG, Young LL, Roberts JL. Informed consent and parental choice of anesthesia and sedation for the repair of small lacerations in children. Am J Emerg Med 1997;15:285–289. doi: 10.1016/S0735-6757(97)90017-6 [DOI] [PubMed] [Google Scholar]
  • 11.Ubbink DT, Matthijssen M, Lemrini S, van Etten-Jamaludin FS, Bloemers FW. Systematic review of barriers, facilitators, and tools to promote shared decision making in the emergency department. Acad Emerg Med. 2024;31(10):1037–1049. doi: 10.1111/acem.14998 [DOI] [PubMed] [Google Scholar]
  • 12.Schoenfeld EM, Goff SL, Elia TR, et al. Physician-identified barriers to and facilitators of shared decision-making in the emergency department: an exploratory analysis. Emerg Med J. 2019;36(6):346–354. doi: 10.1136/emermed-2018-208242 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Tricco AC, Lillie E, Zarin W, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467–473. doi: 10.7326/M18-0850 [DOI] [PubMed] [Google Scholar]
  • 14.Wehking F. Scoping review about the current state of shared decision making in emergency departments. OSF. 2024. doi: 10.17605/OSF.IO/CA7XU [DOI] [Google Scholar]
  • 15.Morgan RL, Whaley P, Thayer KA, Schünemann HJ. Identifying the PECO: a framework for formulating good questions to explore the association of environmental and other exposures with health outcomes. Environ Int. 2018;121(Pt 1), 1027–1031. doi: 10.1016/j.envint.2018.07.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Anderson JL, Oliveira JESL, Brito JP, Hargraves IG, Hess EP. Development of an electronic conversation aid to support shared decision making for children with acute otitis media. JAMIA Open. 2021;4(2):ooab024. doi: 10.1093/jamiaopen/ooab024 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Aronson PL, Politi MC, Schaeffer P, et al. Development of an app to facilitate communication and shared decision-making with parents of febrile infants ≤ 60 days old. Acad Emerg Med. 2021;28(1):46–59. doi: 10.1111/acem.14082 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Aronson PL, Schaeffer P, Fraenkel L, Shapiro ED, Niccolai LM. Physicians’ and nurses’ perspectives on the decision to perform lumbar punctures on febrile infants ≤8 weeks old. Hosp Pediatr. 2019;9(6):405–414. doi: 10.1542/hpeds.2019-0002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Aronson PL, Schaeffer P, Niccolai LM, Shapiro ED, Fraenkel L. Parents’ perspectives on communication and shared decision making for febrile infants ≤60 days old. Pediatr Emerg Care. 2021;37(12):e1213–e1219. doi: 10.1097/PEC.0000000000001977 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Aronson PL, Schaeffer P, Ponce KA, et al. Stakeholder perspectives on hospitalization decisions and shared decision-making in bronchiolitis. Hosp Pediatr. 2022;12(5):473–482. doi: 10.1542/hpeds.2021-006475 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Aronson PL, Shapiro ED, Niccolai LM, Fraenkel L. Shared decision-making with parents of acutely ill children: a narrative review. Acad Pediatr. 2018;18(1):3–7. doi: 10.1016/j.acap.2017.06.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Barnes GD, Izzo B, Conte ML, Chopra V, Holbrook A, Fagerlin A. Use of decision aids for shared decision making in venous thromboembolism: a systematic review. Thromb Res. 2016;143:71–75. doi: 10.1016/j.thromres.2016.05.009 [DOI] [PubMed] [Google Scholar]
  • 23.Bean G, Krishnan U, Stone JR, Khan M, Silva A. Utilization of chest pain decision aids in a community hospital emergency department: a mixed-methods implementation study. Crit Pathw Cardiol. 2021;20(4):192–207. doi: 10.1097/HPC.0000000000000269 [DOI] [PubMed] [Google Scholar]
  • 24.Billah T, Gordon L, Schoenfeld EM, Chang BP, Hess EP, Probst MA. Clinicians’ perspectives on the implementation of patient decision aids in the emergency department: a qualitative interview study. J Am Coll Emerg Physicians Open. 2022;3(1)e12629. doi: 10.1002/emp2.12629 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Chartash D, Sharifi M, Emerson B, et al. Documentation of shared decisionmaking in the emergency department. Ann Emerg Med. 2021;78(5):637–649. doi: 10.1016/j.annemergmed.2021.04.038 [DOI] [PubMed] [Google Scholar]
  • 26.Coronado-Vázquez V, Gómez-Salgado J, Cerezo-Espinosa de Los Monteros J, García-Colinas MA. Shared decision-support tools in hospital emergency departments: a systematic review. J Emerg Nurs. 2019;45(4):386–393. doi: 10.1016/j.jen.2019.01.002 [DOI] [PubMed] [Google Scholar]
  • 27.Cullison K, Carpenter CR, Milne WK. Hot off the press: use of shared decision-making for management of acute musculoskeletal pain in older adults discharged from the emergency department. Acad Emerg Med. 2016;23(8):956–958. doi: 10.1111/acem.12985 [DOI] [PubMed] [Google Scholar]
  • 28.Dubois H, Creutzfeldt J, Manser T. Behavioural observation tool for patient involvement and collaboration in emergency care teams (PIC-ET-tool). BMC Emerg Med. 2023;23(1):74. doi: 10.1186/s12873-023-00841-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Dyrstad DN, Testad I, Storm M. Older patients’ participation in hospital admissions through the emergency department: an interview study of healthcare professionals. BMC Health Serv Res. 2015;15:475. doi: 10.1186/s12913-015-1136-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Eriksson‐Liebon M, Roos S, Hellström I. Patients’ expectations and experiences of being involved in their own care in the emergency department: a qualitative interview study. J Clin Nurs. 2021;30(13–14):1942–1952. doi: 10.1111/jocn.15746 [DOI] [PubMed] [Google Scholar]
  • 31.Fabricius PK, Aharaz A, Stefánsdóttir NT, et al. Shared decision making with acutely hospitalized, older poly-medicated patients: a mixed-methods study in an emergency department. Int J Environ Res Public Health. 2022;19(11):6429. doi: 10.3390/ijerph19116429 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Fabricius PK, Andersen O, Steffensen KD, Kirk JW. The challenge of involving old patients with polypharmacy in their medication during hospitalization in a medical emergency department: an ethnographic study. PLoS One. 2021;16(12):e0261525. doi: 10.1371/journal.pone.0261525 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Flynn D, Knoedler MA, Hess EP, et al. Engaging patients in health care decisions in the emergency department through shared decision-making: a systematic review. Acad Emerg Med. 2012;19(8):959–967. doi: 10.1111/j.1553-2712.2012.01414.x [DOI] [PubMed] [Google Scholar]
  • 34.Flynn D, Nesbitt DJ, Ford GA, et al. Development of a computerised decision aid for thrombolysis in acute stroke care. BMC Med Inform Decis Mak. 2015;15:6. doi: 10.1186/s12911-014-0127-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Frank C, Asp M, Dahlberg K. Patient participation in emergency care - a phenomenographic analysis of caregivers’ conceptions. J Clin Nurs. 2009;18(18):2555–2562. doi: 10.1111/j.1365-2702.2008.02477.x [DOI] [PubMed] [Google Scholar]
  • 36.Frank C, Asp M, Dahlberg K. Patient participation in emergency care - a phenomenographic study based on patients’ lived experience. Int Emerg Nurs. 2009;17(1):15–22. doi: 10.1016/j.ienj.2008.09.003 [DOI] [PubMed] [Google Scholar]
  • 37.Frank C, Asp M, Fridlund B, Baigi A. Questionnaire for patient participation in emergency departments: development and psychometric testing. J Adv Nurs. 2011;67(3):643–651. doi: 10.1111/j.1365-2648.2010.05472.x [DOI] [PubMed] [Google Scholar]
  • 38.Frank C, Fridlund B, Baigi A, Asp M. Patient participation in the emergency department: an evaluation using a specific instrument to measure patient participation (PPED). J Adv Nurs. 2011;67(4):728–735. doi: 10.1111/j.1365-2648.2010.05524.x [DOI] [PubMed] [Google Scholar]
  • 39.Freeman P, Couperus K, Walsh R, Ward MJ, McNaughton CD, Bothwell J. “Your finger or mine?”-Patient preferences in the collection of fecal occult blood testing in the emergency department. Mil Med. 2020;185(9–10):e1393–e1396. doi: 10.1093/milmed/usz429 [DOI] [PubMed] [Google Scholar]
  • 40.Gafni-Pappas G, DeMeester SD, Boyd MA, et al. The HAS-Choice study: utilizing the HEART score, an ADP, and shared decision-making to decrease admissions in chest pain patients. Am J Emerg Med. 2018;36(10):1825–1831. [DOI] [PubMed] [Google Scholar]
  • 41.George WM, Steidl S, Papke J, Wiese CHR. Decision support for emergency physicians in the care of patients at the end of life. Notarzt. 2022;38(01):28–35. [Google Scholar]
  • 42.Geyer BC, Xu M, Kabrhel C. Patient preferences for testing for pulmonary embolism in the ED using a shared decision-making model. Am J Emerg Med. 2014;32(3):233–236. doi: 10.1016/j.ajem.2013.11.019 [DOI] [PubMed] [Google Scholar]
  • 43.Hadden KB, McLemore H, White W, Marks MH, Gan JM, Seupaul RA. Implementation of a health-literate patient decision aid for chest pain in the emergency department. Patient Educ Couns. 2020;103(4):864–869. doi: 10.1016/j.pec.2019.11.009 [DOI] [PubMed] [Google Scholar]
  • 44.Hess EP, Hollander JE, Schaffer JT, et al. Shared decision making in patients with low risk chest pain: prospective randomized pragmatic trial. BMJ. 2016;355 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Hess EP, Homme JL, Kharbanda AB, et al. Effect of the head computed tomography choice decision aid in parents of children with minor head trauma: a cluster randomized trial. JAMA Network Open. 2018;1(5):e182430. doi: 10.1001/jamanetworkopen.2018.2430 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Hess EP, Knoedler MA, Shah ND, et al. The chest pain choice decision aid: a randomized trial. Circ Cardiovasc Qual Outcomes. 2012;5(3):251–259. doi: 10.1161/CIRCOUTCOMES.111.964791 [DOI] [PubMed] [Google Scholar]
  • 47.Holland WC, Hunold KM, Mangipudi SA, Rittenberg AM, Yosipovitch N, Platts-Mills TF. A prospective evaluation of shared decision-making regarding analgesics selection for older emergency department patients with acute musculoskeletal pain. Acad Emerg Med. 2016;23(3):306–314. doi: 10.1111/acem.12888 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Hull A, Friedman T, Christianson H, Moore G, Walsh R, Wills B. Risk acceptance and desire for shared decision making in pediatric computed tomography scans: a survey of 350. Pediatr Emerg Care. 2015;31(11):759–761. doi: 10.1097/PEC.0000000000000467 [DOI] [PubMed] [Google Scholar]
  • 49.Hung CH, Lee YH, Lee DC, Chang YP, Chow CC. The mediating and moderating effects of shared decision making and medical autonomy on improving medical service satisfaction in emergency observation units. Int Emerg Nurs. 2022;60:101101. doi: 10.1016/j.ienj.2021.101101 [DOI] [PubMed] [Google Scholar]
  • 50.Ijaz H, Michel C, Kulie PE, Richards LM, Meltzer AC. Patient preference to participate in shared decision making for performing a CT scan in the emergency department. Am J Emerg Med. 2017;35(12):1969–1970. doi: 10.1016/j.ajem.2017.06.020 [DOI] [PubMed] [Google Scholar]
  • 51.Ijaz H, Wong C, Weaver J, et al. Exploring the attitudes & practices of shared decision-making for CT scan use in emergency department patients with abdominal pain. Am J Emergency Med. 2018;36(12):2263–2267. doi: 10.1016/j.ajem.2018.09.029 [DOI] [PubMed] [Google Scholar]
  • 52.Isaacs CG, Kistler C, Hunold KM, et al. Shared decision‐making in the selection of outpatient analgesics for older individuals in the emergency department. J Am Geriatr Soc. 2013;61(5):793–798. doi: 10.1111/jgs.12207 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Kanzaria HK, Brook RH, Probst MA, Harris D, Berry SH, Hoffman JR. Emergency physician perceptions of shared decision-making. Acad Emerg Med. 2015;22(4):399–405. doi: 10.1111/acem.12627 [DOI] [PubMed] [Google Scholar]
  • 54.Kanzaria HK, Chen EH. Shared decision making for the emergency provider: engaging patients when seconds count. MedEdPORTAL. 2020;16:10936. doi: 10.15766/mep_2374-8265.10936 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Karpas A, Finkelstein M, Reid S. Parental preference for rehydration method for children in the emergency department. Pediatr Emerg Care. 2009;25(5):301–306. doi: 10.1097/PEC.0b013e3181a34144 [DOI] [PubMed] [Google Scholar]
  • 56.Karpas A, Finkelstein M, Reid S. Which management strategy do parents prefer for their head-injured child: immediate computed tomography scan or observation? Pediatr Emerg Care. 2013;29(1):30–35. doi: 10.1097/PEC.0b013e31827b5090 [DOI] [PubMed] [Google Scholar]
  • 57.Melnick ER, Hess EP, Guo G, et al. Patient-centered decision support: formative usability evaluation of integrated clinical decision support with a patient decision aid for minor head injury in the emergency department. J Med Internet Res. 2017;19(5):e174. doi: 10.2196/jmir.7846 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Merck LH, Ward LA, Applegate KE, Choo E, Lowery-North DW, Heilpern KL. Written informed consent for computed tomography of the abdomen/pelvis is associated with decreased CT utilization in low-risk emergency department patients. West J Emerg Med. 2015;16(7):1014–1024. doi: 10.5811/westjem.2015.9.27612 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Minneci PC, Cooper JN, Leonhart K, et al. Effects of a patient activation tool on decision making between surgery and nonoperative management for pediatric appendicitis: a randomized clinical trial. JAMA Network Open. 2019;2(6):e195009. doi: 10.1001/jamanetworkopen.2019.5009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Obadeyi O, Baffoe N, Paxton J. A patient’s decision aid for vascular access placement in the emergency department. J Vasc Access. 2020;21(4):419–425. doi: 10.1177/1129729819879828 [DOI] [PubMed] [Google Scholar]
  • 61.Omaki E, Castillo R, McDonald E, et al. A patient decision aid for prescribing pain medication: results from a pilot test in two emergency departments. Patient Educ Couns. 2021;104(6):1304–1311. doi: 10.1016/j.pec.2020.11.022 [DOI] [PubMed] [Google Scholar]
  • 62.Poitras M-E, Légaré F, Tremblay Vaillancourt V, et al. High users of healthcare services: development and alpha testing of a patient decision aid for case management. Patient. 2020;13(6):757–766. doi: 10.1007/s40271-020-00465-0 [DOI] [PubMed] [Google Scholar]
  • 63.Probst MA, Hess EP, Breslin M, et al. Development of a patient decision aid for syncope in the emergency department: the SynDA tool. Acad Emerg Med. 2018;25(4):425–433. doi: 10.1111/acem.13373 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Probst MA, Kanzaria HK, Frosch DL, et al. Perceived appropriateness of shared decision-making in the emergency department: a survey study. Acad Emerg Med. 2016;23(4):375–381. doi: 10.1111/acem.12904 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Probst MA, Lin MP, Sze JJ, et al. Shared decision making for syncope in the emergency department: a randomized controlled feasibility trial. J Article Acad Emerg Med. 2020;27(9):853‐865. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Probst MA, Tschatscher CF, Lohse CM, Fernanda Bellolio M, Hess EP. Factors associated with patient involvement in emergency care decisions: a secondary analysis of the chest pain choice multicenter randomized trial. J Article Acad Emerg Med. 2018;25(10):1107‐1117. [DOI] [PubMed] [Google Scholar]
  • 67.Rising KL, Hollander JE, Schaffer JT, et al. Effectiveness of a decision aid in potentially vulnerable patients: a secondary analysis of the Chest Pain Choice multicenter randomized trial. Med Decis Mak. 2018;38(1):69–78. doi: 10.1177/0272989X17706363 [DOI] [PubMed] [Google Scholar]
  • 68.Rodriguez RM, Henderson TM, Ritchie AM, et al. Patient preferences and acceptable risk for computed tomography in trauma. Injury. 2014;45(9):1345–1349. doi: 10.1016/j.injury.2014.03.011 [DOI] [PubMed] [Google Scholar]
  • 69.Rosen JE, Yang FF, Liao JM, et al. Development and feasibility testing of a decision aid for acute appendicitis. J Surg Res. 2023;289:82–89. doi: 10.1016/j.jss.2023.03.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Schaffer JT, Hess EP, Hollander JE, et al. Impact of a shared decision making intervention on health care utilization: a secondary analysis of the chest pain choice multicenter randomized trial. Acad Emerg Med. 2018;25(3):293–300. doi: 10.1111/acem.13355 [DOI] [PubMed] [Google Scholar]
  • 71.Schoenfeld EM, Goff SL, Downs G, Wenger RJ, Lindenauer PK, Mazor KM. A qualitative analysis of patients’ perceptions of shared decision making in the emergency department: “let me know i have a choice”. Acad Emerg Med. 2018;25(7):716–727. doi: 10.1111/acem.13416 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Schoenfeld EM, Goff SL, Elia TR, et al. The physician-as-stakeholder: an exploratory qualitative analysis of physicians’ motivations for using shared decision making in the emergency department. Acad Emerg Med. 2016;23(12):1417–1427. doi: 10.1111/acem.13043 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Schoenfeld EM, Goff SL, Elia TR, et al. A qualitative analysis of attending physicians’ use of shared decision-making: implications for resident education. J Grad Med Educ. 2018;10(1):43–50. doi: 10.4300/JGME-D-17-00318.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Schoenfeld EM, Houghton C, Patel PM, et al. Shared decision making in patients with suspected uncomplicated ureterolithiasis: a decision aid development study. Acad Emerg Med. 2020;27(7):554–565. doi: 10.1111/acem.13917 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Schoenfeld EM, Kanzaria HK, Quigley DD, et al. Patient preferences regarding shared decision making in the emergency department: findings from a multisite survey. Acad Emergency Med. 2018;25(10):1118–1128. doi: 10.1111/acem.13499 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Schoenfeld EM, Mader S, Houghton C, et al. The effect of shared decisionmaking on patients’ likelihood of filing a complaint or lawsuit: a simulation study. Ann Emerg Med. 2019;74(1):126–136. doi: 10.1016/j.annemergmed.2018.11.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Schoenfeld EM, Probst MA, Quigley DD, et al. Does shared decision making actually occur in the emergency department? looking at it from the patients’ perspective. Acad Emerg Med. 2019;26(12):1369–1378. doi: 10.1111/acem.13850 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Skains RM, Kuppermann N, Homme JL, et al. What is the effect of a decision aid in potentially vulnerable parents? Insights from the head CT choice randomized trial. Health Expectations. 2020;23(1):63–74. doi: 10.1111/hex.12965 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Walker LE, Bellolio MF, Dobler CC, et al. Paths of emergency department care: development of a decision aid to facilitate shared decision making in goals of care discussions in the acute setting. MDM Policy Pract. 2021;6(2)23814683211058082. doi: 10.1177/23814683211058082 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Alqaydi A, Williams E, Nanji S, Zevin B. Optimizing the consent process for emergent laparoscopic cholecystectomy using an interactive digital education platform: a randomized control trial. Surg Endosc. 2024;38(5):2593–2601. doi: 10.1007/s00464-024-10775-1 [DOI] [PubMed] [Google Scholar]
  • 81.Cardy C, Ardisson KM, Widmar SB. Atrial fibrillation clinical decision aid for emergency medicine providers: an initiative to improve quality healthcare outcomes in adults with new-onset atrial fibrillation. Heart Lung. 2018;47(4):314–321. doi: 10.1016/j.hrtlng.2018.05.007 [DOI] [PubMed] [Google Scholar]
  • 82.Chesney T, Devon K. Training surgical residents to use a framework to promote shared decision-making for patients with poor prognosis experiencing surgical emergencies. Can J Surg. 2018;61(2):114–120. doi: 10.1503/cjs.011317 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Cobianchi L, Dal Mas F, Agnoletti V, et al. Time for a paradigm shift in shared decision-making in trauma and emergency surgery? Results from an international survey. World J Emerg Surg. 2023;18(1)14. doi: 10.1186/s13017-022-00464-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Coronado-Vázquez V, Navarro-Abal Y, Magallón-Botaya R, et al. Aplicabilidad de las herramientas de ayuda a la toma de decisiones compartidas en los servicios de Urgencias: una revisión exploratoria [Applicability of decision aids in emergency departments: an exploratory review]. Rev Esp Salud Publica. 2019;93. [PMC free article] [PubMed] [Google Scholar]
  • 85.Couët N, Desroches S, Robitaille H, et al. Assessments of the extent to which health‐care providers involve patients in decision making: a systematic review of studies using the OPTION instrument. Health Expectations. 2015;18(4):542–561. doi: 10.1111/hex.12054 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Dale J, Sandhu H, Lall R, Glucksman E. The patient, the doctor and the emergency department: a cross-sectional study of patient-centredness in 1990 and 2005. Patient Educ Couns. 2008;72(2):320–329. doi: 10.1016/j.pec.2008.02.005 [DOI] [PubMed] [Google Scholar]
  • 87.Gehi AK, Armbruster T, Walker J, et al. Implementation of an atrial fibrillation decision aid care pathway in the emergency department reduces atrial fibrillation hospitalizations. Circ Cardiovasc Qual Outcomes. 2023;16(9):e009808. doi: 10.1161/CIRCOUTCOMES.122.009808 [DOI] [PubMed] [Google Scholar]
  • 88.Griffey RT, Probst MA, Tschatscher CF, Fernanda Bellolio M, Hess EP, Lohse CM. Factors associated with patient involvement in emergency care decisions: a secondary analysis of the chest pain choice multicenter randomized trial. J Article Acad Emerg Med. 2018;25(10):1107‐1117. [DOI] [PubMed] [Google Scholar]
  • 89.Höglund AT, Winblad U, Arnetz B, Arnetz JE. Patient participation during hospitalization for myocardial infarction: perceptions among patients and personnel. Scand J Caring Sci. 2010;24(3):482–489. doi: 10.1111/j.1471-6712.2009.00738.x [DOI] [PubMed] [Google Scholar]
  • 90.Bravo P, Härter M, McCaffery K, Giguère A, Hahlweg P, Elwyn G. Editorial: 20 years after the start of international Shared Decision-Making activities: is it time to celebrate? Probably…. Z Evid Fortbild Qual Gesundhwes. 2022;171:1–4. doi: 10.1016/j.zefq.2022.05.009 [DOI] [PubMed] [Google Scholar]
  • 91.Kanzaria HK, Chen EH. (2020). “Shared decision making for the emergency provider: engaging patients when seconds count.” MedEdPORTAL 16: 10936. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Stacey D, Volk RJ; IPDAS Evidence Update Leads (Hilary Bekker,Karina Dahl Steffensen,Tammy C.Hoffmann,Kirsten McCaffery,Rachel Thompson,Richard Thomson,Lyndal Trevena,Trudy van der Weijden, and Holly Witteman). The international patient decision aid standards (IPDAS) collaboration: evidence update 2.0. Med Decis Making. 2021;41(7):729–733. doi: 10.1177/0272989X211035681 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Stacey D, Légaré F, Lewis K, et al. Decision aids for people facing health treatment or screening decisions. Cochrane Database Syst Rev. 2017;4(4):CD001431. doi: 10.1002/14651858.CD001431.pub5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Yahanda AT, Mozersky J. What’s the role of time in shared decision making? AMA J Ethics. 2020;22(5):E416–E422. [DOI] [PubMed] [Google Scholar]
  • 95.Geiger F, Novelli A, Berg D, et al. The hospital-wide implementation of shared decision-making–initial findings of the kiel share to care program Dtsch Arztebl Int. 2021;118(13):225–226. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The study protocol and reference manager dataset are accessible through a data repository within the Open Science Framework (https://doi.org/10.17605/OSF.IO/CA7XU).14


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