Pragmatic Study of Clinician Use of a Personalized Patient Decision Aid Integrated into the Electronic Health Record: An 8-Year Experience

Clinician use of the Statin Choice Shared Decision-making Encounter Tool in a Major Health System

BACKGROUND

Effective shared decision-making (SDM) tools for use during clinical encounters are available, but, outside of study settings, little is known about clinician use of these tools in practice.

OBJECTIVE

To describe real-world use of an SDM encounter tool for statin prescribing, Statin Choice, embedded into the workflow of an electronic health record.

DESIGN

Cross-sectional study.

PARTICIPANTS

Clinicians and their statin-eligible patients who had outpatient encounters between January 2020 and June 2021 in Cleveland Clinic Health System.

MAIN MEASURES

Clinician use of Statin Choice was recorded within the Epic record system. We categorized each patient's 10-year atherosclerotic cardiovascular disease risk into low (< 5%), borderline (5-7.5%), intermediate (7.5-20%), and high (≥ 20%). Other patient factors included age, sex, insurance, and race. We used mixed effects logistic regression to assess the odds of using Statin Choice for statin-eligible patients, accounting for clustering by clinician and site. We generated a residual intraclass correlation coefficient (ICC) to characterize the impact of the clinician on Statin Choice use.

KEY RESULTS

Statin Choice was used in 7% of 68,505 eligible patients. Of 1047 clinicians, 48% used Statin Choice with ≥ 1 patient, and these clinicians used it with a median 9% of their patients (interquartile range: 3-22%). In the mixed effects logistic regression model, patient age (adjusted OR per year: 1.04; 95%CI 1.03-1.04) and 10-year ASVCD risk (aOR for 5-7.5% versus < 5% risk: 1.28; 95%CI: 1.14-1.44) were associated with use of Statin Choice. Black versus White race was associated with a lower odds of Statin Choice use (aOR: 0.83; 95%CI: 0.73-0.95), as was female versus male sex (aOR: 0.83; 95%CI: 0.76-0.90). The model ICC demonstrated that 53% of the variation in use of Statin Choice was clinician-driven.

CONCLUSIONS

Patient factors, including race and sex, were associated with clinician use of Statin Choice; half the variation in use was attributable to individual clinicians.

Using Patient Decision Aids for Cardiology Care in Diverse Populations

PURPOSE OF REVIEW

Patient decision aids (PDAs) are tools that help guide treatment decisions and support shared decision-making when there is equipoise between treatment options. This review focuses on decision aids that are available to support cardiac treatment options for underrepresented groups.

RECENT FINDINGS

PDAs have been developed to support multiple treatment decisions in cardiology related to coronary artery disease, valvular heart disease, cardiac arrhythmias, heart failure, and cholesterol management. By considering the unique needs and preferences of diverse populations, PDAs can enhance patient engagement and promote equitable healthcare delivery in cardiology. In this review, we examine the benefits, challenges, and current trends in implementing PDAs, with a focus on improving decision-making processes and outcomes for patients from underrepresented racial and ethnic groups. In addition, the article highlights key considerations when implementing PDAs and potential future directions in the field.

Implementation of Lung Cancer Screening in Primary Care and Pulmonary Clinics: Pragmatic Clinical Trial of Electronic Health Record-Integrated Everyday Shared Decision-Making Tool and Clinician-Facing Prompts

BACKGROUND

Although low-dose CT (LDCT) scan imaging lung cancer screening (LCS) can reduce lung cancer mortality, it remains underused. Shared decision-making (SDM) is recommended to assess the balance of benefits and harms for each patient.

RESEARCH QUESTION

Do clinician-facing electronic health record (EHR) prompts and an EHR-integrated everyday SDM tool designed to support routine incorporation of SDM into primary care improve LDCT scan imaging ordering and completion?

STUDY DESIGN AND METHODS

A preintervention and postintervention analysis was conducted in 30 primary care and four pulmonary clinics for visits with patients who met United States Preventive Services Task Force criteria for LCS. Propensity scores were used to adjust for covariates. Subgroup analyses were conducted based on the expected benefit from screening (high benefit vs intermediate benefit), pulmonologist involvement (ie, whether the patient was seen in a pulmonary clinic in addition to a primary care clinic), sex, and race and ethnicity.

RESULTS

In the 12-month preintervention phase among 1,090 eligible patients, 77 patients (7.1%) had LDCT scan imaging orders and 48 patients (4.4%) completed screenings. In the 9-month intervention phase among 1,026 eligible patients, 280 patients (27.3%) had LDCT scan imaging orders and 182 patients (17.7%) completed screenings. Adjusted ORs were 4.9 (95% CI, 3.4-6.9; P < .001) and 4.7 (95% CI, 3.1-7.1; P < .001) for LDCT imaging ordering and completion, respectively. Subgroup analyses showed increases in ordering and completion for all patient subgroups. In the intervention phase, the SDM tool was used by 23 of 102 ordering providers (22.5%) and for 69 of 274 patients (25.2%) for whom LDCT scan imaging was ordered and who needed SDM at the time of ordering.

INTERPRETATION

Clinician-facing EHR prompts and an EHR-integrated everyday SDM tool are promising approaches to improving LCS in the primary care setting. However, room for improvement remains. As such, further research is warranted.

TRIAL REGISTRY

ClinicalTrials.gov; No.: NCT04498052; URL: www.

CLINICALTRIALS

gov.

Clarifying misbeliefs about hydroxychloroquine (HCQ): developing the HCQ benefits versus harm decision aid (HCQ-SAFE) per low health literacy standards

BACKGROUND

Up to 83% of patients with SLE stop taking hydroxychloroquine (HCQ) within the first year due to knowledge gaps regarding the survival benefits of HCQ versus inflated fears of rare toxicity. Thus, there is a need for a shared decision-making tool that highlights HCQ's significant benefits versus rare harms to improve patients' understanding and align treatments with their values. The objective of this study was to describe development and piloting of a decision aid (HCQ-SAFE) to facilitate HCQ adherence, and safe, effective use by engaging patients in therapeutic decision-making.

METHODS

HCQ-SAFE was developed via a collaborative process involving patients, clinicians, implementation scientists and health literacy experts. The initial prototype was informed by Agency for Healthcare Research and Quality (AHRQ) low literacy principles and key themes about HCQ use from six prior patient and clinician focus groups, with iterative expert and stakeholder feedback to deliver a final prototype. We implemented HCQ-SAFE in four clinics to examine usability and feasibility on Likert scales (0-7) and net promoter score (0%-100%).

RESULTS

The final HCQ-SAFE shared decision-making laminated tool organises data using pictograms showing how HCQ use reduces risk of organ damage, early death and blood clots versus low risk of eye toxicity.HCQ-SAFE was reviewed in all eligible patient visits (n=40) across four clinics on an average of ~8 min, including 25% non-English-speaking patients. All patients scored 100% on the knowledge post-test; no decisional conflicts were noted after using HCQ-SAFE. HCQ-SAFE garnered high clinician and patient satisfaction with 100% likelihood to recommend to peers.

CONCLUSIONS

HCQ-SAFE is a stakeholder-informed feasible shared decision-making tool that enhances communication and can potentially improve knowledge, clarify misbeliefs and engage patients in treatment decisions, including those with limited English proficiency.

Development and user-testing of a digital patient decision aid to facilitate shared decision-making for people with stable angina

Background

Research shows that people with stable angina need decision support when considering elective treatments. Initial treatment is with medicines but patients may gain further benefit with invasive percutaneous coronary intervention (PCI). Choosing between these treatments can be challenging for patients because both confer similar benefits but have different risks. Patient decision aids (PtDAs) are evidence-based interventions that support shared decision-making (SDM) when making healthcare decisions. This study aimed to develop and user-test a digital patient decision aid (CONNECT) to facilitate SDM for people with stable angina considering invasive treatment with elective PCI.

Methods

A multi-phase study was conducted to develop and test CONNECT (COroNary aNgioplasty dECision Tool) using approaches recommended by the International Patient Decision Aid Standards Collaboration: (i) Steering Group assembled, (ii) review of clinical guidance, (iii) co-design workshops with patients and cardiology health professionals, (iv) first prototype developed and ‘alpha’ tested (semi-structured cognitive interviews and 12-item acceptability questionnaire) with patients, cardiologists and cardiac nurses, recruited from two hospitals in Northern England, and (v) final PtDA refined following iterative user-feedback. Quantitative data were analysed descriptively and qualitative data from the interviews analysed using deductive content analysis.

Results

CONNECT was developed and user-tested with 34 patients and 29 cardiology health professionals. Findings showed that CONNECT was generally acceptable, usable, comprehensible, and desirable. Participants suggested that CONNECT had the potential to improve care quality by personalising consultations and facilitating SDM and informed consent. Patient safety may be improved as CONNECT includes questions about symptom burden which can identify asymptomatic patients unlikely to benefit from PCI, as well as those who may need to be fast tracked because of worsening symptoms.

Conclusions

CONNECT is the first digital PtDA for people with stable angina considering elective PCI, developed in the UK using recommended processes and fulfilling international quality criteria. CONNECT shows promise as an approach to facilitate SDM and should be evaluated in a clinical trial. Further work is required to standardise the provision of probabilistic risk information for people considering elective PCI and to understand how CONNECT can be accessible to underserved communities.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12911-022-01882-x.

Electronic health record adopters: a typology based on patients' privacy concerns and perceived benefits

OBJECTIVES

Patients' adoption of electronic health records (EHRs) varies substantially. Although some countries, such as Estonia and Denmark, are sufficiently advanced in terms of EHR generalisation, others, such as France, are figuring out how to implement and disseminate EHRs. These governments must respond to patients' disparities to achieve the expected performance for healthcare systems and improve the quality of care delivery. This study investigates patients' perceived benefits and privacy concerns related to EHRs to develop a typology of patients, identify the characteristics of different clusters and propose practical measures for public policy-makers.

STUDY DESIGN

We conducted a cross-sectional study using online questionnaires.

METHODS

An online quantitative survey was carried out in France. The final sample of EHR non-users (N = 1076) was fitted to be representative of the French population by age and gender, region and socioprofessional status. Hierarchical and non-hierarchical cluster analyses were performed. Several robustness check analyses were also performed.

RESULTS

Cluster analyses identified four patient clusters: the worried, who show the highest mean privacy concern and risk levels related to health data disclosure; the ready adopters, who lack privacy concerns and risk and are the most motivated by EHR benefits; the concerned adopters, who express far fewer privacy concerns and perceive EHR benefits more favourably than the worried adopters; and the balanced adopters, who are relatively similar to the ready adopters in their EHR motives and are still concerned about their health data, suggesting a segment that is easier to convince. Comparing clusters regarding the intentions to create EHRs and willingness to disclose health data confirms that ready adopters, followed by balanced adopters, are more likely to create an EHR and disclose health data. The concerned adopters and, finally, the worried exhibit the lowest intentions for EHR creation and data disclosure.

CONCLUSIONS

The results provide meaningful insights into patient profiles and expectations. The findings underscore the need to implement targeting policies for each cluster and design concrete solutions for improving EHR performance.

Decision aid for prostate cancer screening in Brazil

OBJECTIVE

To present the development and validation processes of a decision aid for prostate cancer screening in Brazil.

METHODS

Study with qualitative-participatory design for the elaboration of a decision aid for prostate cancer screening, with the participation of a group of men and physicians inserted in primary health care in 11 Brazilian states. Evidence synthesis, field testing, and use in clinical scenarios were performed to adapt the content, format, language, and applicability towards the needs of the target audience in the years 2018 and 2019. The versions were subsequently evaluated by the participants and modified based on the data obtained.

RESULTS

We elaborated an unprecedented tool in Brazil, with information about the tests used in the screening, comparison of their possible benefits and harms and a numerical infographic with the consequences of this practice. We verified the decision aid usability to assist in the communication between the doctor and the man in the context of primary health care, besides identifying the need for greater discussion about sharing decisions in clinical scenarios.

CONCLUSION

The tool was easy to use, objective, and has little interference in consultation time. It is a technical-scientific material, produced by research, with the participation of its main target audience and which is available free of charge for use in Brazilian clinical scenarios.

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.

Personalized, Electronic Health Record-Integrated Decision Aid for Stroke Prevention in Atrial Fibrillation: A Small Cluster Randomized Trial and Qualitative Analysis of Efficacy and Acceptability

BACKGROUND

Shared decision-making in cardiology is increasingly recommended to improve patient-centeredness of care. Decision aids can improve patient knowledge and decisional quality but are infrequently used in real-world practice. This mixed-methods study tests the efficacy and acceptability of a decision aid integrated into the electronic health record (Integrated Decision Aid [IDeA]) and delivered by clinicians for patients with atrial fibrillation considering options to reduce stroke risk. We aimed to determine whether the IDeA improves patient knowledge, reduces decisional conflict, and is seen as acceptable by clinicians and patients.

METHODS

A small cluster randomized trial included 6 cardiovascular clinicians and 66 patients randomized either to the IDeA (HealthDecision) or usual care (clinician discretion) during a clinical encounter when stroke prevention treatment options were discussed. The primary outcome was patient knowledge of personalized stroke risk. Exploratory outcomes included decisional conflict, values concordance, trust, the presence of a shared decision-making process, and patient knowledge related to time spent using the IDeA. Additionally, we conducted semistructured interviews with clinicians and patients who used the IDeA were conducted to assess acceptability and predictions of future use.

RESULTS

The IDeA significantly increased patients' knowledge of their stroke risk (odds ratio, 3.88 [95% CI, 1.39-10.78]; P<0.01]). Patients had less uncertainty about their final decision (P=0.04). There were no significant differences in values concordance, trust in clinician or shared decision-making. Despite training, each clinician used the IDeA differently. Qualitative analysis revealed patients prefer using the IDeA earlier in their diagnosis. Clinicians were satisfied with the IDeA, yet varied in the contexts in which they planned to use it in the future.

CONCLUSIONS

Using an Integrated Decision Aid, or IDeA, increases patient knowledge and lessens uncertainty for decision-making around stroke prevention in atrial fibrillation. Qualitative data provide insight into potential implementation strategies in real-world practice.

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.

The role of e-health in improving control and management of COVID 19 outbreak: current perspectives

E-health could play an important role in the global response to Coronavirus disease 2019 (COVID-19). This paper aims to outline the roles of using e-health in the control and management of COVID-19 based on current perspectives. Many databases and health organizations were searched. The results indicated that there are significant roles of e-health in strengthening the efforts to control and manage this COVID-19 pandemic through improving safe coordination and communication, affording an alternative for education and training, analyzing the data, and providing safe care. Further studies are recommended to evaluate the role of e-health in the control and management of COVID-19.