Exploring Provider Reactions to Decision Aid Distribution and Shared Decision Making: Lessons from Two Specialties

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.

Development of an adjective-selection measure evaluating clinicians' attitudes towards using patient decision aids: The ADOPT measure

BACKGROUND

The implementation of shared decision-making and patient decision aids (PDAs) is impeded by clinicians' attitudes.

OBJECTIVE

To develop a measure of clinician attitude towards PDAs.

METHODS

To develop the ADOPT measure, we used four stages, culminating in measure responses by medically qualified clinicians, 25 from each of the following specialties: emergency medicine, family medicine, oncology, obstetrics and gynaecology, orthopaedics, and psychiatry. To assess validity, we also posed three questions to assess the participants' attitudinal and behavioural endorsement of PDAs. Allocating a point per adjective, we calculated the sum as well as positive and negative scores. We used univariate logistic regression to determine associations between the scores and attitudinal or behavioural endorsements.

RESULTS

152 clinicians completed the measure. 'Time-saving' (39%) and 'easy' (34%) were the most frequently selected adjectives. 'Time-consuming' and 'unfamiliar' were the most frequently selected negative adjectives (both 19%). The sum scores were significantly associated with behavioural endorsement of PDAs.

DISCUSSION

Clinicians were able to respond to adjective-selection methods and the ADOPT measure could help assess clinician attitudes to PDAs. Validation will require further research.

PRACTICE IMPLICATIONS

The ADOPT measure could help identify the extent and source of attitudinal resistance.

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.

Moving toward AI-assisted decision-making: Observation on clinicians' management of multimedia patient information in synchronous and asynchronous telehealth contexts

BACKGROUND

Artificial intelligence (AI) intends to support clinicians' patient diagnosis decisions by processing and identifying insights from multimedia patient information.

OBJECTIVE

We explored clinicians' current decision-making patterns using multimedia patient information (MPI) provided by AI algorithms and identified areas where AI can support clinicians in diagnostic decision-making.

DESIGN

We recruited 87 advanced practice nursing (APN) students who had experience making diagnostic decisions using AI algorithms under various care contexts, including telehealth and other healthcare modalities. The participants described their diagnostic decision-making experiences using videos, images, and audio-based MPI.

RESULTS

Clinicians processed multimedia patient information differentially such that their focus, selection, and utilization of MPI influence diagnosis and satisfaction levels.

CONCLUSIONS AND IMPLICATIONS

To streamline collaboration between AI and clinicians across healthcare contexts, AI should understand clinicians' patterns of MPI processing under various care environments and provide them with interpretable analytic results for them. Furthermore, clinicians must be trained with the interface and contents of AI technology and analytic assistance.

Patient and Clinician Characteristics That Predict Breast Cancer Screening Behavior in 40-49-Year-Old Women

Guidelines recommend that clinicians practice shared decision-making (SDM) with women in their 40s to discuss breast cancer screening. Traditionally, SDM includes discussion of values and preferences to help determine a decision that is congruent with what the patient desires. We analyzed 54 women's breast cancer screening decisions after a SDM conversation with their clinician. We looked at both patient and clinician characteristics that predicted whether or not a woman would get a screening mammogram. Women with a family history of breast cancer or who had a previous abnormal mammogram had higher rates of screening. Screening rates also varied widely between clinicians, raising the question of whether clinician attitudes impacted the SDM conversation.

Development and Pilot Testing of a Patient-Centered Web-Based Reproductive Decision Support Tool for Primary Care

BACKGROUND

Patient-centered counseling to help women achieve their reproductive goals is an essential yet often absent component of primary care.

OBJECTIVE

We developed and piloted MyPath, a novel web-based decision support tool integrating reproductive goals assessment, information about optimizing health before pregnancy, and contraceptive decision support, for use prior to primary care visits in the Veterans Administration (VA).

DESIGN

We created MyPath using best practices for decision tool development, including a conceptual framework informed by theory and user-centered design with input from patients, providers, and scientific experts. We conducted a non-randomized pilot in two VA Women's Health primary care clinics. A control group (n = 28) was recruited prior to and intervention group (n = 30) recruited after introduction of MyPath into clinics.

PARTICIPANTS

Women Veterans ages 18-44 with an upcoming visit scheduled with one of eight providers.

INTERVENTIONS

After recruitment of controls, providers and staff received a brief introduction to MyPath. Patients scheduled to see providers in the intervention phase used MyPath on an iPad in the waiting room prior to their visit.

MAIN MEASURES

Acceptability, feasibility, discussions about pregnancy and/or contraceptive needs, and contraceptive decision quality by a survey of participants and providers.

KEY RESULTS

Nearly all participants who used MyPath reported they learned new information (97%) and would recommend it to other Veterans (93%). No providers reported that MyPath significantly increased workload. A greater proportion of intervention participants reported having discussions about reproductive needs in their visit compared to controls (93% vs 68%; p = 0.02). Intervention participants also experienced greater increases in pre-/post-visit knowledge and communication self-efficacy and a trend towards greater reduction in contraceptive decision conflict compared to controls.

CONCLUSIONS

MyPath was highly acceptable to women, increased the proportion of primary care visits addressing reproductive needs, and improved decision quality without increasing providers' perceived workload. A larger randomized evaluation of effectiveness is warranted.

Distal Radius Fracture Clinical Practice Guidelines-Updates and Clinical Implications

The American Academy of Orthopaedic Surgeons and the American Society for Surgery of the Hand released updated Clinical Practice Guidelines in 2020 on the evaluation and treatment of acute distal radius fractures. Following a rigorous methodology designed and implemented through the AAOS, 7 guidelines based upon the best available evidence were released to assist surgeons and physicians managing distal radius fractures. These guidelines can serve as a reference for surgeons when managing patients with distal radius fractures. We review the evidence behind each guideline and highlight the practical implications of each guideline on care.

What Works in Implementing Patient Decision Aids in Routine Clinical Settings? A Rapid Realist Review and Update from the International Patient Decision Aid Standards Collaboration

BACKGROUND

Decades of effectiveness research has established the benefits of using patient decision aids (PtDAs), yet broad clinical implementation has not yet occurred. Evidence to date is mainly derived from highly controlled settings; if clinicians and health care organizations are expected to embed PtDAs as a means to support person-centered care, we need to better understand what this might look like outside of a research setting.

AIM

This review was conducted in response to the IPDAS Collaboration's evidence update process, which informs their published standards for PtDA quality and effectiveness. The aim was to develop context-specific program theories that explain why and how PtDAs are successfully implemented in routine healthcare settings.

METHODS

Rapid realist review methodology was used to identify articles that could contribute to theory development. We engaged key experts and stakeholders to identify key sources; this was supplemented by electronic database (Medline and CINAHL), gray literature, and forward/backward search strategies. Initial theories were refined to develop realist context-mechanism-outcome configurations, and these were mapped to the Consolidated Framework for Implementation Research.

RESULTS

We developed 8 refined theories, using data from 23 implementation studies (29 articles), to describe the mechanisms by which PtDAs become successfully implemented into routine clinical settings. Recommended implementation strategies derived from the program theory include 1) co-production of PtDA content and processes (or local adaptation), 2) training the entire team, 3) preparing and prompting patients to engage, 4) senior-level buy-in, and 5) measuring to improve.

CONCLUSIONS

We recommend key strategies that organizations and individuals intending to embed PtDAs routinely can use as a practical guide. Further work is needed to understand the importance of context in the success of different implementation studies.

Shared Decision-making in Orthopaedic Surgery

Shared decision-making (SDM) is the process by which the physician and the patient collaborate to arrive at the evidence-based treatment that best aligns with the patient's individual goals of care. The implementation of SDM practices is especially important when an invasive surgical procedure is among the treatment options. Ideally, the variation in the patient treatment choice would mirror the variability in patient goals rather than variation in a physician's ability to communicate effectively. Potentially aiding in these communication efforts, decision aids are tools gaining popularity for their ability to help physicians facilitate the SDM process with patients. This article is intended to give the practicing orthopaedic surgeon an understanding of the concept of SDM and how it can improve physician-patient communication. We will explore the key elements of SDM, attendant benefits, indications, and barriers to implementation and propose steps to begin the incorporation of SDM into practice.

The Quality of Postabortion Care in Tanzania: Service Provider Perspectives and Results From a Service Readiness Assessment

Of the approximately 2,000 postabortion care (PAC) clients treated over 6 months in 2016, 55% chose a contraceptive method before discharge. Gaps in PAC availability and quality spanned multiple domains including human resource capacity and availability of supplies and contraceptives. While PAC providers generally expressed commitment to providing high-quality care, several facility and systems factors constrained their efforts, including limited training and facility space, lack of time, and supply chain challenges.

Introduction:

In 2015, the government of Tanzania launched an effort to strengthen the quality of postabortion care (PAC), an integrated health service that includes treatment for abortion complications and provision of family planning counseling and voluntary services, in 25 facilities in mainland Tanzania and in Zanzibar.

Methods:

To help guide the government’s initiative, we conducted a mixed-method study in 2016 using health facility surveys and in-depth interviews with health care workers that offer PAC. Surveys of the 25 facilities assessed the current use of services and readiness to deliver them. Provider performance in PAC was assessed through direct observation of client-provider interactions. In-depth interviews (IDIs) with 30 staff from the facilities provided qualitative information on priorities for PAC quality improvement.

Results:

In the 6 months preceding the study, 2,175 PAC clients sought care at the facilities. Of these PAC clients, 55% chose a family planning method, of whom 6% chose a voluntary long-acting reversible contraceptive. The median facility PAC readiness scores were 45% for health centers, 49% for district hospitals, and 61% for regional referral hospitals. Direct observations of manual vacuum aspiration provision for PAC revealed that providers implemented, on average, 69% of the critical clinical steps. For misoprostol provision, PAC providers implemented, on average, 42% of the critical steps. Multilevel influences affected PAC providers’ work, often adversely, by shaping their confidence in their technical competency, confusing their role as health care workers and as clients’ peers, and coloring their attitudes toward clientele. The PAC providers also felt that their ability to implement their responsibilities was shaped by lapses in essential support and functionality of the health care system, as well as by social and cultural norms.

Conclusions:

Technical assistance approaches that blend training, clinical quality improvement, systems strengthening, and social interventions that address demand-side barriers are needed to ensure providers achieve their potential and are able to deliver high-quality PAC.

Psychosocial Factors of Health Professionals' Intention to Use a Decision Aid for Down Syndrome Screening: Cross-Sectional Quantitative Study

Background

Decisions about prenatal screening for Down syndrome are difficult for women, as they entail risk, potential loss, and regret. Shared decision making increases women’s knowledge of their choices and better aligns decisions with their values. Patient decision aids foster shared decision making but are rarely used in this context.

Objective

One of the most promising strategies for implementing shared decision making is distribution of decision aids by health professionals. We aimed to identify factors influencing their intention to use a DA during prenatal visit for decisions about Down syndrome screening.

Methods

We conducted a cross-sectional quantitative study. Using a Web panel, we conducted a theory-based survey of health professionals in Quebec province (Canada). Eligibility criteria were as follows: (1) family physicians, midwives, obstetrician-gynecologists, or trainees in these professions; (2) involved in prenatal care; and (3) working in Quebec province. Participants watched a video depicting a health professional using a decision aid during a prenatal consultation with a woman and her partner, and then answered a questionnaire based on an extended version of the theory of planned behavior, including some of the constructs of the theoretical domains framework. The questionnaire assessed 8 psychosocial constructs (attitude, anticipated regret, subjective norm, self-identity, moral norm, descriptive norm, self-efficacy, and perceived control), 7 related sets of behavioral beliefs (advantages, disadvantages, emotions, sources of encouragement or discouragement, incentives, facilitators, and barriers), and sociodemographic data. We performed descriptive, bivariate, and multiple linear regression analyses to identify factors influencing health professionals’ intention to use a decision aid.

Results

Among 330 health professionals who completed the survey, 310 met the inclusion criteria: family physicians, 55.2% (171/310); obstetrician-gynecologists, 33.8% (105/310); and midwives, 11.0% (34/310). Of these, 80.9% were female (251/310). Mean age was 39.6 (SD 11.5) years. Less than half were aware of any decision aids at all. In decreasing order of importance, factors influencing their intention to use a decision aid for Down syndrome prenatal screening were as follows: self-identity (beta=.325, P<.001), attitude (beta=.297, P<.001), moral norm (beta=.288, P<.001), descriptive norm (beta=.166, P<.001), and anticipated regret (beta=.099, P=.003). Underlying behavioral beliefs significantly related to intention were that the use of a decision aid would promote decision making (beta=.117, 95% CI 0.043-0.190), would reassure health professionals (beta=.100, 95% CI 0.024-0.175), and might require more time than planned for the consultation (beta=−.077, 95% CI −0.124 to −0.031).

Conclusions

We identified psychosocial factors that could influence health professionals’ intention to use a decision aid about Down syndrome screening. Strategies should remind them of the following: (1) using a decision aid for this purpose should be a common practice, (2) it would be expected of someone in their societal role, (3) the experience of using it will be satisfying and reassuring, and (4) it is likely to be compatible with their moral values.

Increasing the use of patient decision aids in orthopaedic care: results of a quality improvement project

Objective

To integrate patient decision aid (DA) delivery to promote shared decision-making and provide more patient-centred care within an orthopaedic surgery department for treatment of hip and knee osteoarthritis, lumbar herniated disc and lumbar spinal stenosis.

Methods

Different strategies were used across three distinct phases to promote DA delivery. First, we used a quality improvement bonus to generate awareness and interest in the DAs among specialists. Second, we adapted the electronic referral management system to enable DA orders at referral to a specialist. Third, we engaged clinic staff and specialists to design workflows that promoted DA delivery. We tracked the number of patients who received a DA, who ordered the DA, and collected usage data from a subset of patients. Our target was to reach 60% of patients with DAs.

Results

In phase 1, 28% (43/155) of spine patients and 37% (114/308) of hip/knee patients received a DA. In phase 2, 54% (64/118) of spine referrals and 58% (189/324) of hip/knee referrals included a request to send a patient a DA. In phase 3, 56% (90/162) of spine patients and 69% (213/307) of hip/knee patients received a DA, significantly more than in phase 1 (P<0.0001). In phase 3, both more DAs were ordered by clinic staff compared with specialists (56% phase 3 vs 34% phase 1, P<0.001) and sent before the visit (74% phase 3 vs 17% phase 1, P<0.001). Patients were more likely to report reviewing the DA when delivered before the visit (63% before vs 50% after, P=0.005).

Conclusion

DA implementation into clinic workflow is possible and facilitated by engagement of the entire care team and the support of health information technology.