Impact of decision aids used during clinical encounters on clinician outcomes and consultation length: a systematic review

The effects of shared decision making on health outcomes, health care quality, cost, and consultation time: An umbrella review

OBJECTIVE

To review the effects of shared decision making (SDM) on health outcomes, health care quality, cost, and consultation time METHODS: We conducted an umbrella review and searched systematic reviews on SDM from PubMed, CINHAL, and Web of Science. We included reviews on SDM interventions used in a health care setting with patients. We assessed the eligibility of retrieved articles and evaluated whether the review addressed Consolidated Framework for Implementation Research (CFIR) characteristics.

RESULTS

Out of 3678 records, 48 reviews were included. Half of the reviews focused exclusively on RCT studies (n = 21). A little less than half were focused specifically on decision aids (n = 23). Thirty-two reviews discussed CFIR characteristics explicitly or implicitly; the majority of which were specific to intervention characteristics. Reviews tended to cluster around patient populations and tended to be low or critically low to moderate in their quality. Reviews of SDM on health outcomes, health care quality, cost, and consultation time were highly uncertain but often ranged from neutral to positive.

CONCLUSIONS

We observed that SDM implementation did not typically increase costs or increase consultation time while having some neutral to positive benefits on outcomes and quality for certain populations. Gaps in knowledge remain including better research on the climate where SDM is most effective.

Understanding how a personalized risk prediction tool (VALUE-PERSARC) supports informed treatment decisions of soft-tissue sarcomas patients in daily clinical practice - A mixed methods study

INTRODUCTION

Risk prediction models (RPM) can help soft-tissue sarcoma(STS) patients and clinicians make informed treatment decisions by providing them with estimates of (disease-free) survival for different treatment options. However, it is unknown how RPMs are used in the clinical encounter to support decision-making. This study aimed to understand how a PERsonalised SARcoma Care (PERSARC) RPM is used to support treatment decisions and which barriers and facilitators influence its use in daily clinical practice.

METHODS

A convergent mixed-methods design is used to understand how PERSARC is integrated in the clinical encounter in three Dutch sarcoma centers. Data were collected using qualitative interviews with STS patients (n = 15) and clinicians (n = 8), quantitative surveys (n = 50) and audiotaped consultations (n = 30). Qualitative data were analyzed using thematic analysis and integrated with quantitative data through merging guided by the SEIPS model.

RESULTS

PERSARC was generally used to support clinicians' proposed treatment plan and not to help patients weigh available treatment options. Use of PERSARC in decision-making was hampered by clinician's doubts about whether there were multiple viable treatment options,the accuracy of risk estimates, and time constraints. On the other hand, use of PERSARC facilitated clinicians to estimate and communicate the expected benefit of adjuvant therapy to patients.

CONCLUSION

PERSARC was not used to support informed treatment decision-making in STS patients. Integrating RPMs into clinical consultations requires acknowledgement of their benefits in facilitating clinicians' estimation of the expected benefit of adjuvant therapies and information provision to patients, while also considering concerns regarding RPM quality and treatment options' viability.

Shared Decision-Making Communication and Prognostic Misunderstanding in the ICU

Importance

Surrogate misunderstanding of patient survival prognosis in the intensive care unit (ICU) is associated with poor patient and surrogate outcomes. Shared decision-making (SDM) may reduce misunderstanding.

Objective

To evaluate the association between SDM-aligned communication and prognostic misunderstanding.

Design, Setting, and Participants

This retrospective cohort study was conducted at 13 medical and surgical ICUs at 5 hospitals in North Carolina, Pennsylvania, and Washington between December 2012 and January 2017. Participants were surrogates of adult patients receiving prolonged mechanical ventilation and ICU physicians. Analysis was performed May to November 2023.

Exposure

SDM-aligned communication during ICU family meetings, defined as the presence of high-quality serious illness communication behaviors aligned with SDM principles.

Main Outcomes and Measures

The primary outcome was postmeeting surrogate prognostic misunderstanding, defined as the absolute difference between the physician's estimate of survival prognosis and the surrogate's perception of that estimate (range, 0-100 percentage points). The secondary outcome was postmeeting physician misunderstanding, defined as the absolute difference between a surrogate's estimate of survival prognosis and the physician's perception of that estimate (range, 0-100 percentage points). Prognostic misunderstanding of 20 percentage points or greater was considered clinically significant as in prior work.

Results

Of 137 surrogates, most were female (102 [74.5%]), and there were 22 (16.1%) Black surrogates, 107 (78.1%) White surrogates, and 8 surrogates (5.8%) with other race and ethnicity. Of 100 physicians, most were male (64 [64.0%]), with 11 (11.0%) Asian physicians, 4 (4.0%) Black physicians, and 75 (75.0%) White physicians. Median (IQR) surrogate prognostic misunderstanding declined significantly after family meetings (before: 22.0 [10.0 to 40.0] percentage points; after: 15.0 [5.0 to 34.0] percentage points; P = .002), but there was no significant change in median (IQR) physician prognostic misunderstanding (before: 12.0 [5.0 to 30.0] percentage points; after: 15.0 [5.0 to 29.0] percentage points; P = .99). In adjusted analyses, SDM-aligned communication was not associated with prognostic misunderstanding among surrogates or physicians (surrogates: β = -0.74; 95% CI, -1.81 to 0.32; P = .17; physicians: β = -0.51; 95% CI, -1.63 to 0.62; P = .38). In a prespecified subgroup analysis of 78 surrogates (56.9%) with clinically significant premeeting prognostic misunderstanding, SDM-aligned communication was associated with reduced surrogate postmeeting prognostic misunderstanding (β = -1.71; 95% CI, -3.09 to -0.34; P = .01).

Conclusions and Relevance

In this retrospective cohort study, SDM-aligned communication was not associated with changes in prognostic misunderstanding for all surrogates or physicians, but it was associated with reduced prognostic misunderstanding among surrogates with clinically significant misunderstanding at baseline.

Continuous adaptation of conversation aids for uterine fibroids treatment options in a four-year multi-center implementation project

BACKGROUND

Fibroids are non-cancerous uterine growths that can cause symptoms impacting quality of life. The breadth of treatment options allows for patient-centered preference. While conversation aids are known to facilitate shared decision making, the implementation of these aids for uterine fibroids treatments is limited. We aimed to develop two end-user-acceptable uterine fibroids conversation aids for an implementation project. Our second aim was to outline the adaptations that were made to the conversation aids as implementation occurred.

METHODS

We used a multi-phase user-centered participatory approach to develop a text-based and picture-enhanced conversation aid for uterine fibroids. We conducted a focus group with project stakeholders and user-testing interviews with eligible individuals with symptomatic uterine fibroids. We analyzed the results of the user-testing interviews using Morville's Honeycomb framework. Spanish translations of the conversation aids occurred in parallel with the English iterations. We documented the continuous adaptations of the conversation aids that occurred during the project using an expanded framework for reporting adaptations and modifications to evidence-based interventions (FRAME).

RESULTS

The first iteration of the conversation aids was developed in December 2018. Focus group participants (n = 6) appreciated the brevity of the tools and suggested changes to the bar graphs and illustrations used in the picture-enhanced version. User-testing with interview participants (n = 9) found that both conversation aids were satisfactory, with minor changes suggested. However, during implementation, significant changes were suggested by patients, other stakeholders, and participating clinicians when they reviewed the content. The most significant changes required the addition or deletion of information about treatment options as newer research was published or as novel interventions were introduced into clinical practice.

CONCLUSIONS

This multi-year project revealed the necessity of continuously adapting the uterine fibroids conversation aids so they remain acceptable in an implementation and sustainability context. Therefore, it is important to seek regular user feedback and plan for the need to undertake updates and revisions to conversation aids if they are going to be acceptable for clinical use.

A Need for Targeted Teaching of Shared Decision-Making as Identified from an Assessment of Client-Centered Communication Skills Training with Companion Animal Veterinarians

Shared decision-making has been increasingly discussed as a communication practice within veterinary medicine, and it is gaining more traction for diagnostic and treatment planning conversations and specifically offering a spectrum of care. This teaching tip describes the data from an investigation of veterinarians' shared decision-making in a pre-test/post-test communication skills training intervention that used a client-centered, skills-based communication approach. Practice teams from a purposive sample of four companion animal veterinary clinics in Texas participated in a 15-month communication skills intervention, including interactive group workshops and one-on-one communication coaching. To assess the outcome of the intervention, for nine participating veterinarians, appointments recorded pre- (n = 85) and post-intervention (n =  85) were analyzed using the Observer OPTION 5 instrument to assess shared decision-making. The intervention effect was evaluated using mixed logistic regression, adjusting for appointment type. The communication intervention did not significantly impact participating veterinarians' demonstration of shared decision-making (pre = 25.42, n = 55; post = 28.03, n = 56; p = 0.36). Appointment type was significantly associated with veterinarians' OPTION 5 scores (p = .0004) and health problem appointments (OPTION 5 = 30.07) demonstrated greater shared decision-making than preventive care appointments (OPTION 5 = 22.81). Findings suggest that client-centered, skills-based training traditionally used in veterinary curricula and continuing education may not foster the use of shared decision-making, which is a higher-order communication approach that may require a dedicated process-oriented training. This teaching tip highlights the need for a targeted stepwise approach to teach shared decision-making.

Healthcare systems collaborating to implement a shared decision-making tool in the electronic health record and build evidence on its adoption and use

Introduction

Shared decision-making (SDM) is a method of care by which patients and clinicians work together to co-create a plan of care. Electronic health record (EHR) integration of SDM tools may increase adoption of SDM. We conducted a "lightweight" integration of a freely available electronic SDM tool, CV Prevention Choice, within the EHRs of three healthcare systems. Here, we report how the healthcare systems collaborated to achieve integration.

Methods

This work was conducted as part of a stepped wedge randomized pragmatic trial. CV Prevention Choice was developed using guidelines for HTML5-based web applications. Healthcare systems integrated the tool in their EHR using documentation the study team developed and refined with lessons learned after each system integrated the electronic SDM tool into their EHR. CV Prevention Choice integration populates the tool with individual patient data locally without sending protected health information between the EHR and the web. Data abstraction and secure transfer systems were developed to manage data collection to assess tool implementation and effectiveness outcomes.

Results

Time to integrate CV Prevention Choice in the EHR was 12.1 weeks for the first system, 10.4 weeks for the second, and 9.7 weeks for the third. One system required two 1-hour meetings with study team members and two healthcare systems required a single 1-hour meeting. Healthcare system information technology teams collaborated by sharing information and offering improvements to documentation. Challenges included tracking CV Prevention Choice use for reporting and capture of combination medications. Data abstraction required refinements to address differences in how each healthcare system captured data elements.

Conclusion

Targeted documentation on tool features and resource mapping supported collaboration of IT teams across healthcare systems, enabling them to integrate a web-based SDM tool with little additional research team effort or oversight. Their collaboration helped overcome difficulties integrating the web application and address challenges to data harmonization for trial outcome analyses.

Shared decision making with breast cancer patients - does it work? Results of the cluster-randomized, multicenter DBCG RT SDM trial

BACKGROUND AND PURPOSE

Shared decision making (SDM) is a patient engaging process advocated especially for preference-sensitive decisions, such as adjuvant treatment after breast cancer. An increasing call for patient engagement in decision making highlights the need for a systematic SDM approach. The objective of this trial was to investigate whether the Decision Helper (DH), an in-consultation patient decision aid, increases patient engagement in decisions regarding adjuvant whole breast irradiation.

MATERIAL AND METHODS

Oncologists at four radiotherapy units were randomized to practice SDM using the DH versus usual practice. Patient candidates for adjuvant whole breast irradiation after breast conserving surgery for node-negative breast cancer were eligible. The primary endpoint was patient-reported engagement in the decision process assessed with the Shared Decision Making Questionnaire (SDM-Q-9) (range 0-100, 4 points difference considered clinical relevant). Other endpoints included oncologist-reported patient engagement, decisional conflict, fear of cancer recurrence, and decision regret after 6 months.

RESULTS

Of the 674 included patients, 635 (94.2%) completed the SDM-Q-9. Patients in the intervention group reported higher level of engagement (median 80; IQR 68.9 to 94.4) than the control group (71.1; IQR 55.6 to 82.2; p < 0.0001). Oncologist-reported patient engagement was higher in the invention group (93.3; IQR 82.2 to 100) compared to control group (73.3; IQR 60.0 to 84.4) (p < 0.0001).

CONCLUSION

Patient engagement in medical decision making was significantly improved with the use of an in-consultation patient decision aid compared to standard. The DH on adjuvant whole breast irradiation is now recommended as standard of care in the Danish guideline.

Decision aids for promoting shared decision-making: A review of systematic reviews

In the context of shared decision-making (SDM), experts have advocated the use of validated decision aids (DAs) as valuable tools for facilitating SDM in various healthcare scenarios. This comprehensive review attempts to analyze a vast corpus of DA research by performing thorough searches across four prominent databases (PubMed, CINAHL, Embase, and Web of Science). Independent reviewers selected relevant reviews, extracted data, and assessed review quality using the AMSTAR II tool. A total of 34 systematic reviews were identified and evaluated in this review, encompassing a wide range of outcomes associated with using DAs. These outcomes include patient knowledge, patient involvement in SDM, decision conflict, decision regret, satisfaction, and adherence. In addition, DAs positively affect healthcare provider outcomes by increasing satisfaction, reducing decision conflicts, and lengthening clinical consultations. This review highlights the need for additional research in specific contexts such as long-term care, mental health, and reproductive health to better understand the benefits and challenges of implementing DAs in these settings. Such research can contribute to the improvement of SDM practices and patient-centered care.

Clinician feedback using a shared decision-making tool for the evaluation of patients with thyroid nodules-an observational study

BACKGROUND

We pilot-tested an encounter conversation aid to support shared decision making (SDM) between patients with thyroid nodules and their clinicians.

OBJECTIVE

Characterize the clinician feedback after providing care to patients with thyroid nodules using a tool to promote SDM conversations during the clinical encounter, and evaluate how clinicians used the tool during the visit.

METHODS

Mixed method study in two academic centers in the U.S., including adult patients presenting for evaluation of thyroid nodules and their clinicians. We thematically analyzed interviews with clinicians after they used the SDM tool in at least three visits to characterize their feedback. Additionally, investigators evaluated visits recordings to determine the extent to which clinicians engaged patients in the decision-making process (OPTION score, scale 0 to 100, higher levels indicating higher involvement), the tool's components used (fidelity), and encounter duration. Using a post-visit survey, we evaluated the extent to which clinicians felt the tool was easy to use, helpful, and supportive of the patient-clinician collaboration.

RESULTS

Thirteen clinicians participated in the study and used the SDM tool in the care of 53 patients. Clinicians thought the tool was well-organized and beneficial to patients and clinicians. Clinicians noticed a change in their routine with the use of the conversation aid and suggested it needed to be more flexible to better support varying conversations. The median OPTION score was 34, the fidelity of use 75%, and the median visit duration 17 min. In most encounters, clinicians agreed or strongly agreed the tool was easy to use (86%), helpful (65%), and supported collaboration (62%).

CONCLUSION

Clinicians were able to use a SDM tool in the care of patients with thyroid nodules. Although they wished it were more flexible, they found on the whole that its use in the clinical encounter was beneficial to patients and clinicians.

The use of outcome data in patient consultations from the healthcare professionals' and patients' perspectives: A mixed methods study

OBJECTIVES

To gain insight into healthcare professionals' (HCPs') perspectives on the use of outcome data in consultations and to understand which aggregated outcomes patients find important.

METHODS

This study had a mixed-methods design and consisted of two steps: RESULTS: HCPs indicated that aggregated outcome data are not routinely used in consultations. They pointed out various barriers to using outcome data, e.g., low response rates of PROMs, and suggested actions to address these barriers, including training of HCPs in outcome data usage. Patients rated the majority of aggregated outcomes as important, although preferences differed between the studied health conditions.

CONCLUSION

Both HCPs and patients underscored the importance of discussing outcome data in consultations. Nevertheless, HCPs encountered several barriers to using outcome data. Furthermore, patients with different health conditions have somewhat different information needs.

PRACTICE IMPLICATIONS

The study identified several actionable steps to enhance the collection and application of outcome data in consultations.

Integrating Patient Involvement Interventions within Clinical Practice: A Mixed-Methods Study of Health Care Professional Reasoning

Background. Patient involvement interventions are complex interventions that improve patient involvement in treatment and care in health care systems. Studies report several benefits of patient involvement interventions and that health care professionals are positive about using them. However, they have not been explored as a collected group of interventions throughout the continuum of care and treatment. In addition, the relationship between patient involvement interventions and the clinical reasoning process of health care professionals has not been thoroughly studied. Design. This mixed-methods study was conducted at Aarhus University Hospital in Denmark between April and November 2022 using interview data from 12 health care professionals and survey data from 420 health care professionals. Informants were medical doctors, nurses, midwives, dietitians, physiotherapists, and occupational therapists who had direct contact with patients during their daily care and treatment. Quantitative data were analyzed using descriptive statistics; qualitative data were analyzed via inductive and deductive content analysis. Results. Communication and interaction were seen as overarching aspects of patient involvement, with patient involvement interventions being defined as concrete tools and methods to enhance health care professionals' explicit clinical reasoning process. Limitations. It is unclear if results are representative of all health care professionals at the hospital or only those with a positive view of patient involvement interventions. Conclusions. Patient involvement interventions are viewed as beneficial for patients and fit with the clinical reasoning of health care professionals. Clinical reasoning may be an active ingredient in the development and implementation of patient involvement interventions. Implications. In practice, health care professionals need training in person-centered communication and the ability to articulate their clinical reasoning explicitly. In research, a more in-depth understanding of the interrelations between patient involvement interventions and clinical reasoning is needed.

Highlights

Communication and interaction are the fundamental goals of patient involvement in practice, regardless of which patient involvement intervention is being used.Clinical reasoning is often an unconscious process using tacit knowledge, but the use of patient involvement interventions may be a way for health care professionals (at both individual and group levels) to become more explicit about and aware of their reflections.Clinical reasoning can be viewed as a mechanism of change in the development and implementation of patient involvement interventions.

Perioperative shared decision making - How do we train clinicians?

Objective

Decision making about high-risk surgery can be complex, particularly when outcomes may be uncertain. Clinicians have a legal and ethical responsibility to support decision making which fits with patients' values and preferences. In the UK, preoperative assessment and optimisation is led by Anaesthetists in clinic several weeks prior to planned surgery. Training in supporting shared decision making (SDM) has been identified as an area of need among UK anaesthetists with leadership roles in perioperative care.

Methods

We describe adaptation of a generic SDM workshop to perioperative care, in particular to decisions on high-risk surgery, and its delivery to UK healthcare professionals over a two-year period. Feedback from workshops were thematically analysed. We explored further improvements to the workshop and ideas for development and dissemination.

Results

The workshops were well received, with high satisfaction for techniques used, including video demonstrations, role-play and discussions. Thematic analysis identified a desire for multidisciplinary training and training in using patient aids.

Conclusion

Qualitative findings suggest workshops were considered useful with perceived improvement in SDM awareness, skills and reflective practice.

Innovation

This pilot introduces a new modality of training in the perioperative setting providing physicians, particularly Anaesthetists, with previously unavailable training needed to facilitate complex discussions.

Exploring general practitioners' perception of the value of natural history information and their awareness and use of guidelines' resources to support antibiotic prescribing for self-limiting infections: a qualitative study in Australian general practice

BACKGROUND

The newest version of the Therapeutic Guidelines' antibiotic chapter introduced patient- and clinician-facing resources to support decision-making about antibiotic use for self-limiting infections. It is unclear whether general practitioners (GPs) are aware of and use these resources, including the natural history information they contain. We explored GPs' perceptions of the value and their use of natural history information, and their use of the Therapeutic Guidelines' resources (summary table, discussion boxes, decision aids) to support antibiotic decision-making.

METHODS

Semi-structured interviews with 21 Australian GPs were conducted. Interviews were recorded, transcribed and thematically analysed by two independent researchers.

RESULTS

Four themes emerged: (1) GPs perceive natural history information as valuable in consultations for self-limiting conditions and use it for a range of purposes, but desire specific information for infectious and non-infectious conditions; (2) GPs' reasons for using patient-facing resources were manifold, including managing patients' expectations for antibiotics, legitimising the decision not to provide antibiotics and as a prescription substitute; (3) the guidelines are a useful and important educational resource, but typically not consulted at the time of deciding whether to prescribe antibiotics; and (4) experience and attitude towards shared decision-making and looking up information during consultations influenced whether GPs involved patients in decision-making and used a decision aid.

CONCLUSIONS

GPs perceived natural history information to be valuable in discussions about antibiotic use for self-limiting conditions. Patient and clinician resources were generally perceived as useful, although reasons for use varied, and a few barriers to use were reported.

Shared decision making: audiology student perspectives

Introduction

Shared decision making is a concept in healthcare that actively involves patients in the management of their condition. The process of shared decision making is taught in clinical training programmes, including Audiology, where there are several options for the management of hearing loss. This study sought to explore the perception of Healthcare Science (Audiology) student views on shared decision making.

Methods

Twelve students across all years of the BSc Healthcare Science degree took part in three semi-structured focus groups. Four students were work-based learners, and eight students were enrolled on the standard pathway. Data were analysed using Thematic Analysis.

Results

Students' definition and understanding of shared decision making was influenced by three key factors that were based on using a range of resources, implementation of a decision aid, and recognising Ida Institute as a pinnacle of shared decision making. Students also identified their roles as the future of healthcare workforce and the importance of disseminating best practice.

Conclusion

Shared decision making is valued by students in their roles as healthcare trainees. This study data will enhance teaching practices for healthcare science students in audiology training. Future research involving patient views in clinical training is vital.

The Costs of Implementing a Conversation Aid for Uterine Fibroids in Multiple Health Care Settings

BACKGROUND

Health care organizations considering adopting a conversation aid (CA), a type of patient decision aid innovation, need information about the costs of implementation.

OBJECTIVES

The aims of this study were to: (1) calculate the costs of introducing a CA in a study of supported implementation in 5 gynecologic settings that manage individuals diagnosed with uterine fibroids and (2) estimate the potential costs of future clinical implementation efforts in hypothetical settings.

RESEARCH DESIGN

We used time-driven activity-based costing to estimate the costs of CA implementation at multiple steps: integration with an electronic health record, preimplementation, implementation, and sustainability. We then estimated costs for 2 disparate hypothetical implementation scenarios.

SUBJECTS AND DATA COLLECTION

We conducted semistructured interviews with participants and examined internal documentation.

RESULTS

We interviewed 41 individuals, analyzed 51 documents and 100 emails. Overall total implementation costs over ∼36 months of activities varied significantly across the 5 settings, ranging from $14,157 to $69,134. Factors influencing costs included size/complexity of the setting, urban/rural location, practice culture, and capacity to automate patient identification. Initial investments were substantial, comprising mostly personnel time. Settings that embedded CA use into standard workflows and automated identification of appropriate patients had the lowest initial investment and sustainability costs. Our estimates of the costs of sustaining implementation were much lower than initial investments and mostly attributable to CA subscription fees.

CONCLUSION

Initiation and implementation of the interventions require significant personnel effort. Ongoing costs to maintain use are much lower and are a small fraction of overall organizational operating costs.

US practice adoption of patient-engagement strategies and spending for adults with diabetes and cardiovascular disease

Patient-engagement strategies are being encouraged by payers and governments, but with limited evidence about whether practice adoption of these strategies impacts utilization and spending. We examine the association of physician practice adoption of patient-engagement strategies (low vs moderate vs high) with potentially preventable utilization and total spending for patients with type 2 diabetes and/or cardiovascular disease using US physician practice survey (n = 2086) and Medicare fee-for-service (n = 736 269) data. In adjusted analyses, there were no differences in potentially preventable utilization associated with practice adoption of patient-engagement strategies. Compared with patients attributed to practices with moderate adoption, patients attributed to practices with high adoption had higher total spending ($26 364 vs $25 991; P < .05) driven by spending for long-term services and supports, including home health agency, long-term care, skilled nursing facilities, and hospice payments. In contrast, patients attributed to practices with low adoption had higher total spending ($26 481 vs $25 991; P < .01) driven by spending for tests and acute care and clinical access spending. The results highlight that stakeholders that encourage the use of patient-engagement strategies should not necessarily expect reduced spending.

Shifting the narrative from living at risk to living with risk: validating and pilot-testing a clinical decision support tool: a mixed methods study

BACKGROUND

When there are safety concerns, healthcare professionals (HCPs) may disregard older adults' wishes to return or remain at home. A paradigm shift is needed for HCPs to move from labelling older adults as living at risk to helping them live with risk. The Living with Risk: Decision Support Tool (LwR:DST) was developed to support older adults and HCPs with difficult decision-making regarding living with risk. The study objectives were to: (1) validate, and (2) pilot-test the LwR:DST in hospital and community settings.

METHODS

The study was conducted across Canada during the pandemic. The LwR:DST's content was validated with quantitative and qualitative data by: (1) 71 HCPs from hospital and community settings using the Delphi method, and (2) 17 older adults and caregivers using focus groups. HCPs provided feedback on the LwR:DST's content, format and instruction manual while older adults provided feedback on the LwR:DST's communication step. The revised LwR:DST was pilot-tested by 14 HCPs in one hospital and one community setting, and 17 older adults and caregivers described their experience of HCPs using this approach with them. Descriptive and thematic analysis were performed.

RESULTS

The LwR:DST underwent two iterations incorporating qualitative and quantitative data provided by HCPs, older adults and caregivers. The quantitative Delphi method data validated the content and the process of the LwR:DST, while the qualitative data provided practical improvements. The pilot-testing results suggest that using the LwR:DST broadens HCPs' clinical thinking, structures their decision-making, improves their communication and increases their competence and comfort with risk assessment and management. Our findings also suggest that the LwR:DST improves older adults' healthcare experience by feeling heard, understood and involved.

CONCLUSIONS

This revised LwR:DST should help HCPs systematically identify frail older adults' risks when they remain at or return home and find acceptable ways to mitigate these risks. The LwR:DST induces a paradigm shift by acknowledging that risks are inherent in everyday living and that risk-taking has positive and negative consequences. The challenges involved in integrating the LwR:DST into practice, i.e., when, how and with whom to use it, will be addressed in future research.

Shared decision-making and the duration of medical consultations: A systematic review and meta-analysis

OBJECTIVE

1) determine whether increased levels of Shared Decision-Making (SDM) affect consultation duration, 2) investigate the intervention characteristics involved.

METHODS

MEDLINE, EMBASE, CINAHL and Cochrane library were systematically searched for experimental and cross-sectional studies up to December 2021. A best-evidence synthesis was performed, and interventions characteristics that increased at least one SDM-outcome, were pooled and descriptively analyzed.

RESULTS

Sixty-three studies were selected: 28 randomized clinical trials, 8 quasi-experimental studies, and 27 cross-sectional studies. Overall, pooling of data was not possible due to substantial heterogeneity. No differences in consultation duration were found more often than increased or decreased durations. . Consultation times (minutes:seconds) were significantly increased only among interventions that: 1) targeted clinicians only (Mean Difference [MD] 1:30, 95% Confidence Interval [CI] 0:24-2:37); 2) were performed in primary care (MD 2:05, 95%CI 0:11-3:59; 3) used a group format (MD 2:25, 95%CI 0:45-4:05); 4) were not theory-based (MD 4:01, 95%CI 0:38-7:23).

CONCLUSION

Applying SDM does not necessarily require longer consultation durations. Theory-based, multilevel implementation approaches possibly lower the risk of increasing consultation durations.

PRACTICE IMPLICATIONS

The commonly heard concern that time hinders SDM implementation can be contradicted, but implementation demands multifaceted approaches and space for training and adapting work processes.

Workload and workflow implications associated with the use of electronic clinical decision support tools used by health professionals in general practice: a scoping review

BACKGROUND

Electronic clinical decision support tools (eCDS) are increasingly available to assist General Practitioners (GP) with the diagnosis and management of a range of health conditions. It is unclear whether the use of eCDS tools has an impact on GP workload. This scoping review aimed to identify the available evidence on the use of eCDS tools by health professionals in general practice in relation to their impact on workload and workflow.

METHODS

A scoping review was carried out using the Arksey and O'Malley methodological framework. The search strategy was developed iteratively, with three main aspects: general practice/primary care contexts, risk assessment/decision support tools, and workload-related factors. Three databases were searched in 2019, and updated in 2021, covering articles published since 2009: Medline (Ovid), HMIC (Ovid) and Web of Science (TR). Double screening was completed by two reviewers, and data extracted from included articles were analysed.

RESULTS

The search resulted in 5,594 references, leading to 95 full articles, referring to 87 studies, after screening. Of these, 36 studies were based in the USA, 21 in the UK and 11 in Australia. A further 18 originated from Canada or Europe, with the remaining studies conducted in New Zealand, South Africa and Malaysia. Studies examined the use of eCDS tools and reported some findings related to their impact on workload, including on consultation duration. Most studies were qualitative and exploratory in nature, reporting health professionals' subjective perceptions of consultation duration as opposed to objectively-measured time spent using tools or consultation durations. Other workload-related findings included impacts on cognitive workload, "workflow" and dialogue with patients, and clinicians' experience of "alert fatigue".

CONCLUSIONS

The published literature on the impact of eCDS tools in general practice showed that limited efforts have focused on investigating the impact of such tools on workload and workflow. To gain an understanding of this area, further research, including quantitative measurement of consultation durations, would be useful to inform the future design and implementation of eCDS tools.

What helps the successful implementation of digital decision aids supporting shared decision-making in cardiovascular diseases? A systematic review

Aims

Although digital decision aids (DAs) have been developed to improve shared decision-making (SDM), also in the cardiovascular realm, its implementation seems challenging. This study aims to systematically review the predictors of successful implementation of digital DAs for cardiovascular diseases.

Methods and results

Searches were conducted in MEDLINE, Embase, PsycInfo, CINAHL, and the Cochrane Library from inception to November 2021. Two reviewers independently assessed study eligibility and risk of bias. Data were extracted by using a predefined list of variables. Five good-quality studies were included, involving data of 215 patients and 235 clinicians. Studies focused on DAs for coronary artery disease, atrial fibrillation, and end-stage heart failure patients. Clinicians reported DA content, its effectivity, and a lack of knowledge on SDM and DA use as implementation barriers. Patients reported preference for another format, the way clinicians used the DA and anxiety for the upcoming intervention as barriers. In addition, barriers were related to the timing and Information and Communication Technology (ICT) integration of the DA, the limited duration of a consultation, a lack of communication among the team members, and maintaining the hospital's number of treatments. Clinicians' positive attitude towards preference elicitation and implementation of DAs in existing structures were reported as facilitators.

Conclusion

To improve digital DA use in cardiovascular diseases, the optimum timing of the DA, training healthcare professionals in SDM and DA usage, and integrating DAs into existing ICT structures need special effort. Current evidence, albeit limited, already offers advice on how to improve DA implementation in cardiovascular medicine.

Artificial intelligence promotes shared decision-making through recommending tests to febrile pediatric outpatients

BACKGROUND

To promote the shared decision-making (SDM) between patients and doctors in pediatric outpatient departments, this study was designed to validate artificial intelligence (AI) -initiated medical tests for children with fever.

METHODS

We designed an AI model, named Xiaoyi, to suggest necessary tests for a febrile child before visiting a pediatric outpatient clinic. We calculated the sensitivity, specificity, and F1 score to evaluate the efficacy of Xiaoyi's recommendations. The patients were divided into the rejection and acceptance groups. Then we analyzed the rejected examination items in order to obtain the corresponding reasons.

RESULTS

We recruited a total of 11,867 children with fever who had used Xiaoyi in outpatient clinics. The recommended examinations given by Xiaoyi for 10,636 (89.6%) patients were qualified. The average F1 score reached 0.94. A total of 58.4% of the patients accepted Xiaoyi's suggestions (acceptance group), and 41.6% refused (rejection group). Imaging examinations were rejected by most patients (46.7%). The tests being time-consuming were rejected by 2,133 patients (43.2%), including rejecting pathogen studies in 1,347 patients (68.5%) and image studies in 732 patients (31.8%). The difficulty of sampling was the main reason for rejecting routine tests (41.9%).

CONCLUSION

Our model has high accuracy and acceptability in recommending medical tests to febrile pediatric patients, and is worth promoting in facilitating SDM.

Shared Decision-making in Different Types of Decisions in Medical Specialist Consultations

BACKGROUNDS

Research on shared decision-making (SDM) has mainly focused on decisions about treatment (e.g., medication or surgical procedures). Little is known about the decision-making process for the numerous other decisions in consultations.

OBJECTIVES

We assessed to what extent patients are actively involved in different decision types in medical specialist consultations and to what extent this was affected by medical specialist, patient, and consultation characteristics.

DESIGN

Analysis of video-recorded encounters between medical specialists and patients at a large teaching hospital in the Netherlands.

PARTICIPANTS

Forty-one medical specialists (28 male) from 18 specialties, and 781 patients.

MAIN MEASURE

Two independent raters classified decisions in the consultations in decision type (main or other) and decision category (diagnostic tests, treatment, follow-up, or other advice) and assessed the decision-making behavior for each decision using the Observing Patient Involvement (OPTION)5 instrument, ranging from 0 (no SDM) to 100 (optimal SDM). Scheduled and realized consultation duration were recorded.

KEY RESULT

In the 727 consultations, the mean (SD) OPTION5 score for the main decision was higher (16.8 (17.1)) than that for the other decisions (5.4 (9.0), p < 0.001). The main decision OPTION5 scores for treatment decisions (n = 535, 19.2 (17.3)) were higher than those for decisions about diagnostic tests (n = 108, 14.6 (16.8)) or follow-up (n = 84, 3.8 (8.1), p < 0.001). This difference remained significant in multilevel analyses. Longer consultation duration was the only other factor significantly associated with higher OPTION5 scores (p < 0.001).

CONCLUSION

Most of the limited patient involvement was observed in main decisions (versus others) and in treatment decisions (versus diagnostic, follow-up, and advice). SDM was associated with longer consultations. Physicians' SDM training should help clinicians to tailor promotion of patient involvement in different types of decisions. Physicians and policy makers should allow sufficient consultation time to support the application of SDM in clinical practice.

Leveraging the timing and frequency of patient decision aids in longitudinal shared decision-making: A narrative review and applied model

Introduction

Shared decision‐making (SDM) is intended to increase patient‐centredness of medical decision‐making for patients with acute and chronic conditions. Concurrently, patient decision aids (PtDAs) can supplement SDM by providing information to guide communication between patients and healthcare providers. Because of the prevalence of chronic conditions, where decisions may be extended or recurring, we sought to explore how effectively these tools have been leveraged in this context.

Methods

We conducted a narrative review of the literature on both SDM and PtDAs, searching PubMed and Boston University's library database search tool for English‐language articles published from January 2005 until March 2021. Additional search terms focused on temporality. Drawing from our findings, we developed a combined framework to highlight areas for future research using the discussion of end‐of‐life decisions as an exemplar to illustrate its relevance to chronic care contexts.

Results

After screening 57 articles, we identified 25 articles that fulfilled the inclusion criteria on SDM, PtDA use and temporality for chronic care. The literature on SDM highlighted time outside of the medical visit and opportunity to include outside decision partners as important elements of the process. PtDAs were commonly evaluated for process‐related and proximal outcomes, but less often for distal outcomes. Early evidence points to the value of comparative outcome evaluation based on the timing of PtDA distribution.

Conclusion

Our review of the literature on SDM and PtDAs reveals less attention to the timing of PtDAs relative to that of SDM. We highlight the need for further study of timing in PtDA use to improve longitudinal SDM for chronic care. The model that we propose in our discussion provides a starting point for future research on PtDA efficacy.

Patient or Public Contribution

Five patient consultants provided input and feedback on the development and utility of our model.

Development and pilot testing of a conversation aid to support the evaluation of patients with thyroid nodules

OBJECTIVE

To support patient-centred care and the collaboration of patients and clinicians, we developed and pilot tested a conversation aid for patients with thyroid nodules.

DESIGN, PATIENT AND MEASUREMENTS

We developed a web-based Thyroid NOdule Conversation aid (TNOC) following a human-centred design. A proof of concept observational pre-post study was conducted (TNOC vs. usual care [UC]) to assess the impact of TNOC on the quality of conversations. Data sources included recordings of clinical visits, post-encounter surveys and review of electronic health records. Summary statistics and group comparisons are reported.

RESULTS

Sixty-five patients were analysed (32 in the UC and 33 in the TNOC cohort). Most patients were women (89%) with a median age of 57 years and were incidentally found to have a thyroid nodule (62%). Most thyroid nodules were at low risk for thyroid cancer (71%) and the median size was 1.4 cm. At baseline, the groups were similar except for higher numeracy in the TNOC cohort. The use of TNOC was associated with increased involvement of patients in the decision-making process, clinician satisfaction and discussion of relevant topics for decision making. In addition, decreased decisional conflict and fewer thyroid biopsies as the next management step were noted in the TNOC cohort. No differences in terms of knowledge transfer, length of consultation, thyroid cancer risk perception or concern for thyroid cancer diagnosis were found.

CONCLUSION

In this pilot observational study, using TNOC in clinical practice was feasible and seemed to help the collaboration of patients and clinicians.

Nurses' perspective on their involvement in decision-making about life-prolonging treatments: A quantitative survey study

Aims

In hospital settings, decisions about potentially life‐prolonging treatments are often made in a dialogue between a patient and their physician, with a focus on active treatment. Nurses can have a valuable contribution in this process, but it seems they are not always involved. Our aim was to explore how hospital nurses perceive their current role and preferred role in shared decision‐making about potentially life‐prolonging treatment in patients in the last phase of life.

Design

Cross‐sectional quantitative study conducted in the Netherlands in April and May 2019.

Methods

An online survey, using a questionnaire consisting of 12 statements on nurses' opinion about supporting patients in decisions about potentially life‐prolonging treatments, and 13 statements on nurses' actual involvement in these decisions.

Results

In total 179 hospital nurses from multiple institutions who care for adult patients in the last phase of life responded. Nurses agreed that they should have a role in shared decision‐making about potentially life‐prolonging treatments, indicating greatest agreement with ‘It is my task to speak up for my patient’ and ‘It is important that my role in supporting patients is clear’. However, nurses also said that in practice they were often not involved in shared decision‐making, with least involvement in ‘active participation in communication about treatment decisions’ and ‘supporting a patient with the decision’.

Conclusion

There is a discrepancy between nurses' preferred role in decision‐making about potentially life‐prolonging treatment and their actual role. More effort is needed to increase nurses' involvement.

Impact

Nurses' contribution to decision‐making is increasingly considered to be valuable by the nurses themselves, physicians and patients, though involvement is still not common. Future research should focus on strategies, such as training programs, that empower nurses to take an active role in decision‐making.

Potential impact of encounter patient decision aids on the patient-clinician dialogue: a qualitative study on Dutch and American medical specialists' experiences

OBJECTIVES

To examine the experiences among Dutch and American clinicians on the impact of using encounter patient decision aids (ePDAs) on their clinical practice, and subsequently to formulate recommendations for sustained ePDA use in clinical practice.

DESIGN

Qualitative study using semi-structured interviews with clinicians who used 11 different ePDAs (applicable to their specialty) for 3 months after a short training. The verbatim transcribed interviews were coded with thematic analysis by six researchers via ATLAS.ti.

SETTING

Nine hospitals in the Netherlands and two hospitals in the USA.

PARTICIPANTS

Twenty-five clinicians were interviewed: 16 Dutch medical specialists from four different disciplines (gynaecologists, ear-nose-throat specialists, neurologists and orthopaedic surgeon), 5 American gynaecologists and 4 American gynaecology medical trainees.

RESULTS

The interviews showed that the ePDA potentially impacted the patient-clinician dialogue in several ways. We identified six themes that illustrate this: that is, (1) communication style, for example, structuring the conversation; (2) the patient's role, for example, encouraging patients to ask more questions; (3) the clinician's role, for example, prompting clinicians to discuss more information; (4) workflow, for example, familiarity with the ePDA's content helped to integrate it into practice; (5) shared decision-making (SDM), for example, mixed experiences whether the ePDA contributed to SDM; and (6) content of the ePDA. Recommendations to possibly improve ePDA use based on the clinician's experiences: (1) add pictorial health information to the ePDA instead of text only and (2) instruct clinicians how to use the ePDA in a flexible (depending on their discipline and setting) and personalised way adapting the ePDA to the patients' needs (e.g., mark off irrelevant options).

CONCLUSIONS

ePDAs contributed to the patient-clinician dialogue in several ways according to medical specialists. A flexible and personalised approach appeared appropriate to integrate the use of ePDAs into the clinician's workflow, and customise their use to individual patients' needs.

Primary Care Providers’ Perceptions of the Acceptability, Appropriateness, and Feasibility of a Mammography Decision Aid for Women Aged 75 and Older

Background. Clinicians need to find decision aids (DAs) useful for their successful implementation. Therefore, we aimed to conduct an exploratory study to learn primary care clinicians’ (PCPs) perspectives on a mammography DA for women ≥75 to inform its implementation. Methods. We sent a cross-sectional survey to 135 PCPs whose patients had participated in a randomized trial of the DA. These PCPs practiced at 1 of 11 practices in Massachusetts or North Carolina. PCPs were asked closed-ended and open-ended questions on shared decision making (SDM) around mammography with women ≥75 and on the DA’s acceptability, appropriateness, and feasibility. Results. Eighty PCPs participated (24 [30%] from North Carolina). Most (n = 69, 86%) thought that SDM about mammography with women ≥75 was extremely/very important and that they engaged women ≥75 in SDM around mammography frequently/always (n = 49, 61%). Regarding DA acceptability, 60% felt the DA was too long. Regarding appropriateness, 70 (89%) thought it was somewhat/very helpful and that it would help patients make more informed decisions; 55 (70%) would recommend it. Few (n = 6, 8%) felt they had other resources to support this decision. Regarding feasibility, 53 (n = 67%) thought it would be most feasible for patients to receive the DA before a visit from medical assistants rather than during or after a visit or from health educators. Most (n = 62, 78%) wanted some training to use the DA. Limitations. Sixty-nine percent of PCPs in this small study practiced in academic settings. Conclusions. Although PCPs were concerned about the DA’s length, most found it helpful and informative and felt it would be feasible for medical assistants to deliver the DA before a visit. Implications. Study findings may inform implementation of this and other DAs.

Do consultants do what they say they do? Observational study of the extent to which clinicians involve their patients in the decision-making process

OBJECTIVES

To assess whether consultants do what they say they do in reaching decisions with their patients.

DESIGN

Cross-sectional analysis of hospital outpatient encounters, comparing consultants' self-reported usual decision-making style to their actual observed decision-making behaviour in video-recorded encounters.

SETTING

Large secondary care teaching hospital in the Netherlands.

PARTICIPANTS

41 consultants from 18 disciplines and 781 patients.

PRIMARY AND SECONDARY OUTCOME MEASURE

With the Control Preference Scale, the self-reported usual decision-making style was assessed (paternalistic, informative or shared decision making). Two independent raters assessed decision-making behaviour for each decision using the Observing Patient Involvement (OPTION)5 instrument ranging from 0 (no shared decision making (SDM)) to 100 (optimal SDM).

RESULTS

Consultants reported their usual decision-making style as informative (n=11), shared (n=16) and paternalistic (n=14). Overall, patient involvement was low, with mean (SD) OPTION5 scores of 16.8 (17.1). In an unadjusted multilevel analysis, the reported usual decision-making style was not related to the OPTION5 score (p>0.156). After adjusting for patient, consultant and consultation characteristics, higher OPTION5 scores were only significantly related to the category of decisions (treatment vs the other categories) and to longer consultation duration (p<0.001).

CONCLUSIONS

The limited patient involvement that we observed was not associated with the consultants' self-reported usual decision-making style. Consultants appear to be unconsciously incompetent in shared decision making. This can hinder the transfer of this crucial communication skill to students and junior doctors.

Is Shared Decision-making Associated with Better Patient-reported Outcomes? A Longitudinal Study of Patients Undergoing Total Joint Arthroplasty

BACKGROUND

Although shared decision-making (SDM) has knowledge and satisfaction benefits for patients and is promising, we lack data demonstrating that SDM is associated with better patient-reported functional outcomes. Such data would support the integration and prioritization of SDM into all aspects of orthopaedic care.

QUESTIONS/PURPOSES

(1) Is a measure of SDM before total joint arthroplasty associated with better patient-reported outcome measures (PROMs) 1 year postoperatively? (2) What is the relationship between the measure of SDM and two measures of patient experience (patient rating of the provider and patient likelihood of recommending the provider) at 1 year postoperatively?

METHODS

In this observational longitudinal survey-based study, patients receiving an initial THA or TKA from a large, multispecialty medical group in the Midwestern United States were surveyed after they were scheduled for surgery and again at 12 months after their procedure. The three-item collaboRATE measure of SDM was added to existing patient surveys of PROMs. However, the surgeons and their department had no organized approach to SDM during this time. The surveys also included the Oxford knee or hip score and two validated measures of patient experience (patient rating of the provider and whether a patient would recommend the provider). Of the 2779 eligible primary joint arthroplasties that occurred from April 23, 2018 to May 1, 2019, 48% (1334 procedures; 859 TKAs and 485 THAs) of the patients responded to both the preoperative and 12-month postoperative surveys. Most of the patients who were included in the analytic sample were white (93%; 1255 of 1344), with only 3% (37) using Medicaid benefits at the time of surgery. Differences between responders and nonresponders were present and explored in an analysis. Patient responses were analyzed in regression models to estimate the association between preoperative collaboRATE scores and the Oxford knee or hip scores, and patient experience measures 12 months postoperatively.

RESULTS

There was a moderate, positive association between preoperative collaboRATE scores and the Oxford scores at 12 months, after adjustment for potential confounders such as patient age and preoperative functional score (β = 0.58; 95% CI 0.14-1.02; p = 0.01). Similarly, patients with preoperative collaboRATE scores had marginally higher patient experience scores at 12 months postoperatively (β = 0.14; 95% CI 0.05-0.24; p = 0.003) and were more likely to recommend their surgeon (OR 1.43; 95% CI 1.11-1.84; p = 0.005). The patient experience measures were also modestly correlated with collaboRATE scores in cross-sectional associations, both preoperatively and at 12 months postoperatively (0.29 ≤ r ≤ 0.54; p < 0.01).

CONCLUSION

The association between preoperative collaboRATE scores and Oxford hip or knee scores suggests that SDM could be one tool to encourage better outcomes. Although previous studies have shown that SDM can improve patient experience, the lack of a strong correlation in our study suggests that PROMs and experience measures are separate domains, at least partly. Improving preoperative SDM between the surgeon and patient might help improve surgical outcomes for patients undergoing TKA and THA.

LEVEL OF EVIDENCE

Level II, therapeutic study.

Shared Decision Making in Cardiac Electrophysiology Procedures and Arrhythmia Management

Shared decision making (SDM) has been advocated to improve patient care, patient decision acceptance, patient-provider communication, patient motivation, adherence, and patient reported outcomes. Documentation of SDM is endorsed in several society guidelines and is a condition of reimbursement for selected cardiovascular and cardiac arrhythmia procedures. However, many clinicians argue that SDM already occurs with clinical encounter discussions or the process of obtaining informed consent and note the additional imposed workload of using and documenting decision aids without validated tools or evidence that they improve clinical outcomes. In reality, SDM is a process and can be done without decision tools, although the process may be variable. Also, SDM advocates counter that the low-risk process of SDM need not be held to the high bar of demonstrating clinical benefit and that increasing the quality of decision making should be sufficient. Our review leverages a multidisciplinary group of experts in cardiology, cardiac electrophysiology, epidemiology, and SDM, as well as a patient advocate. Our goal is to examine and assess SDM methodology, tools, and available evidence on outcomes in patients with heart rhythm disorders to help determine the value of SDM, assess its possible impact on electrophysiological procedures and cardiac arrhythmia management, better inform regulatory requirements, and identify gaps in knowledge and future needs.

Reduction of cardiovascular risk factors among young men with hypertension using an interactive decision aid: cluster-randomized control trial

BACKGROUND

Coronary heart disease (CHD) mortality among young men is very high and the prevention methods usable in family practice (FP) settings are limited (1,2). The objectives of this study were to investigate the cardiovascular risk profile among young males (18-50) visiting their family doctor (FD) and to find out if using an interactive computer-based decision aid (DA) has advantages in reducing cardiovascular risk factors compared to usual counselling at the FD's office.

METHODS

The study was a cluster-randomized controlled trial including hypertensive male patients aged 18-50 recruited by their FD in 2015-2016. Patients with cardiovascular complications were not included. FDs were randomly divided into intervention groups (n = 9) and control groups (n = 11). Altogether, FDs recruited 130 patients, 77 into the intervention group (IG) and 53 into the control group (CG). IG patients were counselled about cardiovascular risk factors using a computer-based DA. CG patients received usual counselling by their FD. Data was collected with questionnaires, clinical examinations and laboratory analyses at the baseline and at the follow-up visit three months later. We compared the cardiovascular risk factors of the IG and CG patients.

RESULTS

Baseline characteristics of the IG and CG patients were comparable. Of the whole study group, 51.5% (n = 67) of the patients had hypertension grade 1, 45.4% (n = 59) had grade 2 and 3.1% (n = 4) had grade 3. Twenty-seven per cent (n = 21) of the IG and 42% (n = 22) of the CG patients were smokers. We found that shared decision making with the DA was more effective in smoking reduction compared to usual FD counselling: 21 smoking patients in the IG reduced the number of cigarettes per day which is significantly more than the 22 smoking patients in the CG (- 3.82 ± 1.32 (SE Mean) versus + 2.32 ± 1.29; p = 0.001). Systolic blood pressure (SBP), diastolic blood pressure (DBP) and the number of cigarettes per day, all showed a statistically significant reduction among patients who were using the DA. Male patients with hypertension grade 2 had a significantly greater reduction in their SBP (- 6.003 ± 2.59 (SE Mean) versus + 1.86 ± 2.58; p = 0.038) grade 1. Reduction of DBP, cigarettes per day and CVD risk in general were nearly significant in the IG whereas the CG showed an increase in all of these parameters.

CONCLUSION

Using interactive DAs at FD's offices for counselling of young hypertensive male patients is one possibility to help patients understand their risk factors and make changes in their treatment choices. DAs can be more effective in achieving behavioural changes like reducing smoking or blood pressure compared to normal counselling.

Computer-Based Decision Tools for Shared Therapeutic Decision-making in Oncology: Systematic Review

BACKGROUND

Therapeutic decision-making in oncology is a complex process because physicians must consider many forms of medical data and protocols. Another challenge for physicians is to clearly communicate their decision-making process to patients to ensure informed consent. Computer-based decision tools have the potential to play a valuable role in supporting this process.

OBJECTIVE

This systematic review aims to investigate the extent to which computer-based decision tools have been successfully adopted in oncology consultations to improve patient-physician joint therapeutic decision-making.

METHODS

This review was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 checklist and guidelines. A literature search was conducted on February 4, 2021, across the Cochrane Database of Systematic Reviews (from 2005 to January 28, 2021), the Cochrane Central Register of Controlled Trials (December 2020), MEDLINE (from 1946 to February 4, 2021), Embase (from 1947 to February 4, 2021), Web of Science (from 1900 to 2021), Scopus (from 1969 to 2021), and PubMed (from 1991 to 2021). We used a snowball approach to identify additional studies by searching the reference lists of the studies included for full-text review. Additional supplementary searches of relevant journals and gray literature websites were conducted. The reviewers screened the articles eligible for review for quality and inclusion before data extraction.

RESULTS

There are relatively few studies looking at the use of computer-based decision tools in oncology consultations. Of the 4431 unique articles obtained from the searches, only 10 (0.22%) satisfied the selection criteria. From the 10 selected studies, 8 computer-based decision tools were identified. Of the 10 studies, 6 (60%) were conducted in the United States. Communication and information-sharing were improved between physicians and patients. However, physicians did not change their habits to take advantage of computer-assisted decision-making tools or the information they provide. On average, the use of these computer-based decision tools added approximately 5 minutes to the total length of consultations. In addition, some physicians felt that the technology increased patients' anxiety.

CONCLUSIONS

Of the 10 selected studies, 6 (60%) demonstrated positive outcomes, 1 (10%) showed negative results, and 3 (30%) were neutral. Adoption of computer-based decision tools during oncology consultations continues to be low. This review shows that information-sharing and communication between physicians and patients can be improved with the assistance of technology. However, the lack of integration with electronic health records is a barrier. This review provides key requirements for enhancing the chance of success of future computer-based decision tools. However, it does not show the effects of health care policies, regulations, or business administration on physicians' propensity to adopt the technology. Nevertheless, it is important that future research address the influence of these higher-level factors as well.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42021226087; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021226087.

A patient decision aid for mild asthma: Navigating a new asthma treatment paradigm

INTRODUCTION

In mild asthma, as-needed budesonide-formoterol offers similar protection from severe exacerbations as daily inhaled corticosteroids (ICS), with lower ICS exposure but slightly increased symptoms. We sought to develop an electronic decision aid to guide discussions about the pros and cons of these first-line options, while identifying and integrating user preferences.

METHODS

Following International Patient Decision Aid Standards, we created a mild asthma decision aid prototype comparing convenience, clinical outcomes, cumulative ICS dose exposure, costs, and side-effects of each option. After face validation, the prototype was iteratively adapted through rapid-cycle development. Each cycle consisted of a patient focus group and a primary care physician interview. We made user preference-based improvements after each round, until reaching a pre-set stopping criterion (no new critical issues identified). We then performed a summative qualitative content analysis.

RESULTS

Over 5 cycles, we recruited 21 asthma patients (12/21 women, 10/21 ≥ 60 years old) and 5 physicians. Serial changes included simplification and reduction of text and reading level, inclusion of an ICS "myths" section and elaboration of patient-friendly infographics for numerical comparisons. User preferences fell within Content, Format, and tool use Process themes. In response to decision-making preferences, we created a complementary one-page conversation aid for patient-provider use at the point-of-care.

CONCLUSIONS

We present preference-based electronic patient decision and conversation aids for treatment of mild asthma. Our user preference analyses offer useful insights for development of such tools in other chronic diseases. These tools now require integration into point-of-care workflows for measurement of real-world uptake and impact.

The impact of shared decision making on time consumption and clinical decisions. A prospective cohort study

OBJECTIVE

Concerns of increased time consumption and of the impact on clinical decisions may restrain doctors from shared decision making (SDM). This paper evaluates consultation length and decisions made when using an in-consult patient decision aid (PtDA).

METHODS

This prospective cohort study compared an unexposed cohort with a cohort exposed to SDM and a PtDA in two preference-sensitive decision situations: invasive lung cancer diagnostics and adjuvant treatment for early breast cancer. Outcome measures were consultation length and decisions made.

RESULTS

The study included 261 consultations, 115 were in the SDM-exposed cohort. Consultations were inconsiderably longer in the SDM cohort; 2 min, 11 s (p = 0.2217) for lung cancer diagnostics and 3 min, 57 s (p = 0.1128) for adjuvant breast cancer treatment. In lung cancer diagnostics, consultation length became more uniform and decisions tended to become conservative after introduction of SDM. For adjuvant breast cancer, slightly more patients in the SDM cohort chose to decline treatment.

CONCLUSION

Shared decision making did not take significantly longer time and led to slightly more conservative decisions.

PRACTICE IMPLICATIONS

SDM may be implemented without considerable impact on consultation length. The impact on clinical decisions depends mainly on the clinical situation.

Development of a Shared Decision-Making Tool for Adolescents With Scoliosis to Decide Between Observation Versus Fusion Surgery

BACKGROUND

Adolescent patients with moderate to severe idiopathic scoliosis who have completed their skeletal growth face a significant choice in their treatment path: watchful waiting or spinal fusion. Shared decision making (SDM) assists patients and clinicians to find treatments that make intellectual, practical and emotional sense. Our objective was to develop a tool that supports SDM for patients with scoliosis and their families.

METHODS

We used a user-centered design approach that included collaboration between patients, surgeons and SDM experts, observation of clinician encounters, and literature review. We focused on adolescent idiopathic scoliosis patients 13 or more years of age with less than 1 year of growth remaining (Risser stage 3 or greater) and curves between 40 and 65 degrees.

RESULTS

We included 22 patients, and collected 22 video recordings. From these videos, we identified salient patient priorities for decision making including treatment benefits, surgical complications, pain, scheduling and recovery, and cost. For each theme, we conducted a focused review to obtain the best estimate of effect. Then, an expert SDM designer developed an electronic prototype called Scoliosis Choice.

CONCLUSIONS

The initial prototype of the scoliosis SDM was finalized and is currently being field tested in clinic. Scoliosis Choice may help patients and surgeons better understand the potential risks and benefits of spinal fusion vs. observation for scoliosis treatment and improve validated measures of quality in patient-parent-surgeon communication.

Knowledge and Needs of Resident Physicians Regarding Osteoporosis: A Nationwide Survey of Residents

Large‐scale studies have not addressed the knowledge level of US resident physicians regarding osteoporosis management. We gauged the knowledge level of family medicine, internal medicine, and obstetrics and gynecology resident physicians regarding osteoporosis management. In 2019, we sent an anonymous survey via e‐mail to all program directors of Accreditation Council for Graduate Medical Education–accredited residency programs in family medicine, internal medicine, and obstetrics and gynecology for distribution to resident physicians. Knowledge items assessed osteoporosis screening, diagnosis, and treatment. We received responses from 182 family medicine, 275 internal medicine, and 122 obstetrics and gynecology programs. Of 582 resident physician respondents, 31% were family medicine residents, 47% were internal medicine residents, and 21% were obstetrics and gynecology residents. Although 77% of respondents correctly selected the T‐score threshold for the diagnosis of osteoporosis among persons aged 50 years and older (−2.5), only 20% of respondents correctly identified minimal‐trauma hip fracture as being diagnostic of osteoporosis. One‐third of respondents correctly identified which medications were demonstrated in clinical trials to decrease hip fracture risk. Fifteen percent of respondents correctly identified that denosumab and alendronate are associated with osteonecrosis of the jaw; and 40% of respondents correctly identified that decline in bone density is more rapid after discontinuation of denosumab than after discontinuation of bisphosphonates. Less than half of resident physicians knew that bisphosphonate‐associated atypical femoral fractures are duration‐dependent. One‐quarter of respondents felt not at all prepared to manage osteoporosis. In this nationwide survey of resident physicians, knowledge regarding osteoporosis diagnosis and treatment was poor, with a striking lack of knowledge regarding the two most serious adverse effects of osteoporosis pharmacotherapy (osteonecrosis of the jaw and atypical femoral fractures). The undertreatment of osteoporosis is unlikely to improve without increased education of resident physicians. © 2021 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.

STAR Duodecim eHealth Tool to Recognize Chronic Disease Risk Factors and Change Unhealthy Lifestyle Choices Among the Long-Term Unemployed: Protocol for a Mixed Methods Validation Study

BACKGROUND

Lifestyle choices and socioeconomic status have a significant impact on the expected onset of diseases, age of death, and risk factors concerning long-term illnesses and morbidity. STAR is an online health examination tool, which gives users a report that includes an evaluation of their life expectancy and an estimated risk for developing common long-term illnesses based on questions about health, characteristics, lifestyle, and quality of life.

OBJECTIVE

The goals of this study are to (1) review the capacity of STAR to recognize morbidity risks in comparison to a traditional nurse-led health examination and patient-reported health challenges; (2) evaluate the user experience and usability of STAR; and (3) assess the potential impact of STAR on the health confidence and motivation of patients to make healthier lifestyle choices.

METHODS

This mixed methods validation study will consist of a quantitative part (questionnaires) and a qualitative part (phone interviews and open-ended questions from the questionnaires). The participants will include 100 long-term unemployed individuals attending a health check for the unemployed. The participants will be recruited from three Finnish public health centers in Espoo, Hämeenlinna, and Tampere. At the health centers, the participants will use STAR and attend a nurse's health check. Surveys with multiple-choice and open-ended questions will be collected from the participants, the nurse, and a study assistant. The questionnaires include questions about the participant's background and health challenges from the patient and nurse points of view, as well as questions about how well the health challenges matched the STAR report. The questionnaires also gather data about user experience, health confidence, and usability of STAR. A study assistant will fill out an observer's form containing questions about use time and possible problems encountered while using STAR. A sample of the unemployed participants will be interviewed by telephone subsequently. For the quantitative data, descriptive statistics and a reliability analysis will be performed, and mean sum scores will be computed for the study variables. Thematic analysis of the qualitative data will be performed.

RESULTS

This study was approved by the Ethics Committee of the Expert Responsibility Area of Tampere University Hospital in June 2020 (ETL Code R20067). Data collection will begin in June 2021 and will take approximately 3-6 months.

CONCLUSIONS

Online health examinations can improve the effectiveness of primary prevention in health care by supporting efficient evidence-based morbidity risk estimation and motivating patients to change unhealthy behaviors. A multimethod approach is used to allow for assessment of the tool's usefulness from the points of view of both professionals and patients. This study will further provide a rich understanding of how the tool can be used as part of routine health checks, and how and why the tool may or may not motivate users for making healthier lifestyle choices.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/27668.

Implementation and sustainability factors of two early-stage breast cancer conversation aids in diverse practices

BACKGROUND

Conversation aids can facilitate shared decision-making and improve patient-centered outcomes. However, few examples exist of sustained use of conversation aids in routine care due to numerous barriers at clinical and organizational levels. We explored factors that will promote the sustained use of two early-stage breast cancer conversation aids. We examined differences in opinions between the two conversation aids and across socioeconomic strata.

METHODS

We nested this study within a randomized controlled trial that demonstrated the effectiveness of two early-stage breast cancer surgery conversation aids, one text-based and one picture-based. These conversation aids facilitated more shared decision-making and improved the decision process, among other outcomes, across four health systems with socioeconomically diverse patient populations. We conducted semi-structured interviews with a purposive sample of patient participants across conversation aid assignment and socioeconomic status (SES) and collected observations and field notes. We interviewed trial surgeons and other stakeholders. Two independent coders conducted framework analysis using the NOrmalization MeAsure Development through Normalization Process Theory. We also conducted an inductive analysis. We conducted additional sub-analyses based on conversation aid assignment and patient SES.

RESULTS

We conducted 73 semi-structured interviews with 43 patients, 16 surgeons, and 14 stakeholders like nurses, cancer center directors, and electronic health record (EHR) experts. Patients and surgeons felt the conversation aids should be used in breast cancer care in the future and were open to various methods of giving and receiving the conversation aid (EHR, email, patient portal, before consultation). Patients of higher SES were more likely to note the conversation aids influenced their treatment discussion, while patients of lower SES noted more influence on their decision-making. Intervention surgeons reported using the conversation aids did not lengthen their typical consultation time. Most intervention surgeons felt using the conversation aids enhanced their usual care after using it a few times, and most patients felt it appeared part of their normal routine.

CONCLUSIONS

Key factors that will guide the future sustained implementation of the conversation aids include adapting to existing clinical workflows, flexibility of use, patient characteristics, and communication preferences.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT03136367 , registered on May 2, 2017.

Aspirin, Statins, and Primary Prevention: Opportunities for Shared Decision Making in the Face of Uncertainty

PURPOSE OF REVIEW

The utility of aspirin and statins for primary prevention of atherosclerotic cardiovascular disease remains ambiguous in older adults. Current guidelines and recent data are vague and inconclusive. This review seeks to summarize the landscape of primary prevention of cardiovascular disease in older adults and explore the role of shared decision making.

RECENT FINDINGS

Observational data suggest potential benefit of statin therapy in older adults. Aspirin is presently not recommended for primary prevention based on evidence from recent clinical trials. The implementation of shared decision making and decision aids in routine clinical practice remains challenging but may rise in coming years. Clinical trial data on the horizon may aid in solidifying guideline therapy for statin use. However, in the face of uncertainty, shared decision making between provider and patient should be utilized to determine whether pharmacotherapy may benefit older adults. Decision aids are an effective tool to guide this process.

Integrating Option Grid Patient Decision Aids in the Epic Electronic Health Record: Case Study at 5 Health Systems

Background

Some researchers argue that the successful implementation of patient decision aids (PDAs) into clinical workflows depends on their integration into electronic health records (EHRs). Anecdotally, we know that EHR integration is a complex and time-consuming task; yet, the process has not been examined in detail. As part of an implementation project, we examined the work involved in integrating an encounter PDA for symptomatic uterine fibroids into Epic EHR systems.

Objective

This study aims to identify the steps and time required to integrate a PDA into the Epic EHR system and examine facilitators and barriers to the integration effort.

Methods

We conducted a case study at 5 academic medical centers in the United States. A clinical champion at each institution liaised with their Epic EHR team to initiate the integration of the uterine fibroid Option Grid PDAs into clinician-facing menus. We scheduled regular meetings with the Epic software analysts and an expert Epic technologist to discuss how best to integrate the tools into Epic for use by clinicians with patients. The meetings were then recorded and transcribed. Two researchers independently coded the transcripts and field notes before categorizing the codes and conducting a thematic analysis to identify the facilitators and barriers to EHR integration. The steps were reviewed and edited by an Epic technologist to ensure their accuracy.

Results

Integrating the uterine fibroid Option Grid PDA into clinician-facing menus required an 18-month timeline and a 6-step process, as follows: task priority negotiation with Epic software teams, security risk assessment, technical review, Epic configuration; troubleshooting, and launch. The key facilitators of the process were the clinical champions who advocated for integration at the institutional level and the presence of an experienced technologist who guided Epic software analysts during the build. Another facilitator was the use of an emerging industry standard app platform (Health Level 7 Substitutable Medical Applications and Reusable Technologies on Fast Healthcare Interoperability Resources) as a means of integrating the Option Grid into existing systems. This standard platform enabled clinicians to access the tools by using single sign-on credentials and prevented protected health information from leaving the EHR. Key barriers were the lack of control over the Option Grid product developed by EBSCO (Elton B Stephens Company) Health; the periodic Epic upgrades that can result in a pause on new software configurations; and the unforeseen software problems with Option Grid (ie, inability to print the PDA), which delayed the launch of the PDA.

Conclusions

The integration of PDAs into the Epic EHR system requires a 6-step process and an 18-month timeline. The process required support and prioritization from a clinical champion, guidance from an experienced technologist, and a willing EHR software developer team.

Increasing risk-concordant cardiovascular care in diverse health systems: a mixed methods pragmatic stepped wedge cluster randomized implementation trial of shared decision making (SDM4IP)

BACKGROUND

The primary prevention of cardiovascular (CV) events is often less intense in persons at higher CV risk and vice versa. Clinical practice guidelines recommend that clinicians and patients use shared decision making (SDM) to arrive at an effective and feasible prevention plan that is congruent with each person's CV risk and informed preferences. However, SDM does not routinely happen in practice. This study aims to integrate into routine care an SDM decision tool (CV PREVENTION CHOICE) at three diverse healthcare systems in the USA and study strategies that foster its adoption and routine use.

METHODS

This is a mixed method, hybrid type III stepped wedge cluster randomized study to estimate (a) the effectiveness of implementation strategies on SDM uptake and utilization and (b) the extent to which SDM results in prevention plans that are risk-congruent. Formative evaluation methods, including clinician and stakeholder interviews and surveys, will identify factors likely to impact feasibility, acceptability, and adoption of CV PREVENTION CHOICE as well as normalization of CV PREVENTION CHOICE in routine care. Implementation facilitation will be used to tailor implementation strategies to local needs, and implementation strategies will be systematically adjusted and tracked for assessment and refinement. Electronic health record data will be used to assess implementation and effectiveness outcomes, including CV PREVENTION CHOICE reach, adoption, implementation, maintenance, and effectiveness (measured as risk-concordant care plans). A sample of video-recorded clinical encounters and patient surveys will be used to assess fidelity. The study employs three theoretical approaches: a determinant framework that calls attention to categories of factors that may foster or inhibit implementation outcomes (the Consolidated Framework for Implementation Research), an implementation theory that guides explanation or understanding of causal influences on implementation outcomes (Normalization Process Theory), and an evaluation framework (RE-AIM).

DISCUSSION

By the project's end, we expect to have (a) identified the most effective implementation strategies to embed SDM in routine practice and (b) estimated the effectiveness of SDM to achieve feasible and risk-concordant CV prevention in primary care.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT04450914 . Posted June 30, 2020 TRIAL STATUS: This study received ethics approval on April 17, 2020. The current trial protocol is version 2 (approved February 17, 2021). The first subject had not yet been enrolled at the time of submission.

The views of New Zealand general practitioners and patients on a proposed risk assessment and communication tool: a qualitative study using Normalisation Process Theory

BACKGROUND

Communicating risks of medication harm and obtaining informed consent is difficult due to structural barriers, language and cultural practices, bias and a lack of resources appropriately tailored for the health literacy of most patients. A decision support tool was proposed to alert prescribers of risk and provide tailored information for patients to facilitate informed decision-making with patients and their whānau (family) around medication use. Patient and prescriber co-design was used to ensure the tool was designed to best meet the needs of end-users and avoid increasing health inequity. This paper describes the first stage of the co-design process.

METHOD

Normalisation Process Theory (NPT) was used to prospectively evaluate the tool. Semi-structured interviews were held with fifteen patients (five Māori, five Pasifika and five NZ European) and nine general practitioners (two Māori and seven European).

RESULTS

Three themes were identified, which related to the three NPT concepts most relevant to developing the tool. Theme 1 (coherence: meaning and sense making by participants) explored participants' understanding of prescribing safety, medication harm and risk, which is based on experience. Patients want as much information as possible about their medications and risk, but doctors find it difficult to communicate that information. Theme 2 related to the NPT concept of cognitive participation (commitment and engagement by participants) explored what participants thought about a prescribing decision support tool. Participants were cautiously optimistic, but worried about potential harm arising from its use. They also identified requirements for the tool and features to avoid. Theme 3 describes the collective action required for successful implementation of the tool; namely, culturally safe and trustworthy doctor-patient relationships.

CONCLUSION

Patients and general practitioners provided different perspectives when prospectively evaluating the proposed risk assessment and communication tool. This co-design research identified important pre-requisites for the tool and features to avoid and novel ideas for the proposed tool. Overall participants supported the development of the proposed risk assessment and communication tool, but identified the important role that doctor-patient relationships would play to ensure successful implementation. The use of Māori and Pacific languages in the proposed tool may enhance engagement and understanding.

Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

BACKGROUND

Explainability is one of the most heavily debated topics when it comes to the application of artificial intelligence (AI) in healthcare. Even though AI-driven systems have been shown to outperform humans in certain analytical tasks, the lack of explainability continues to spark criticism. Yet, explainability is not a purely technological issue, instead it invokes a host of medical, legal, ethical, and societal questions that require thorough exploration. This paper provides a comprehensive assessment of the role of explainability in medical AI and makes an ethical evaluation of what explainability means for the adoption of AI-driven tools into clinical practice.

METHODS

Taking AI-based clinical decision support systems as a case in point, we adopted a multidisciplinary approach to analyze the relevance of explainability for medical AI from the technological, legal, medical, and patient perspectives. Drawing on the findings of this conceptual analysis, we then conducted an ethical assessment using the "Principles of Biomedical Ethics" by Beauchamp and Childress (autonomy, beneficence, nonmaleficence, and justice) as an analytical framework to determine the need for explainability in medical AI.

RESULTS

Each of the domains highlights a different set of core considerations and values that are relevant for understanding the role of explainability in clinical practice. From the technological point of view, explainability has to be considered both in terms how it can be achieved and what is beneficial from a development perspective. When looking at the legal perspective we identified informed consent, certification and approval as medical devices, and liability as core touchpoints for explainability. Both the medical and patient perspectives emphasize the importance of considering the interplay between human actors and medical AI. We conclude that omitting explainability in clinical decision support systems poses a threat to core ethical values in medicine and may have detrimental consequences for individual and public health.

CONCLUSIONS

To ensure that medical AI lives up to its promises, there is a need to sensitize developers, healthcare professionals, and legislators to the challenges and limitations of opaque algorithms in medical AI and to foster multidisciplinary collaboration moving forward.

Normalization of a conversation tool to promote shared decision making about anticoagulation in patients with atrial fibrillation within a practical randomized trial of its effectiveness: a cross-sectional study

Background

Shared decision making (SDM) implementation remains challenging. The factors that promote or hinder implementation of SDM tools for use during the consultation, including contextual factors such as clinician burnout and organizational support, remain unclear. We explored these factors in the context of a practical multicenter randomized trial evaluating the effectiveness of an SDM conversation tool for patients with atrial fibrillation considering anticoagulation therapy.

Methods

In this cross-sectional study, we recruited clinicians who were regularly involved in conversations with patients regarding anticoagulation for atrial fibrillation. Clinicians reported their characteristics and burnout symptoms using the two-item Maslach Burnout Inventory. Clinicians were trained in using the SDM tool, and they recorded their perceptions of the tool’s normalization potential using the Normalization MeAsure Development (NoMAD) survey instrument and verbally reflected on their answers to these survey questions. When possible, the training sessions and clinicians’ verbal responses to the conversation tool were recorded.

Results

Our study comprised 183 clinicians recruited into the trial (168 with survey responses and 112 with recordings). Overall, clinicians gave high scores to the normalization potential of the intervention; they endorsed all domains of normalization to the same extent, regardless of site, clinician characteristics, or burnout ratings. In interviews, clinicians paid significant attention to making sense of the tool. Tool buy-in seemed to depend heavily on their ability to see the tool as accurate and “evidence-based” and their perceptions of having time in the consultation to use it.

Conclusions

While time in the consultation remains a barrier, we did not find a significant association between burnout symptoms and normalization of an SDM conversation tool. Possible areas for improving the normalization of SDM conversation tools in clinical practice include enabling collaboration among clinicians to implement the tool and reporting how clinicians elsewhere use the tool. Direct measures of normalization (i.e., observing how often clinicians access the tool in practice outside of the clinical trial) may further elucidate the role that contextual factors, such as clinician burnout, play in the implementation of SDM.

Trial registration

ClinicalTrials.gov, NCT02905032. Registered on 9 September 2016.