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

10.2196/22766 ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. e22766
Author(s):  
Peter Scalia ◽  
Farhan Ahmad ◽  
Danielle Schubbe ◽  
Rachel Forcino ◽  
Marie-Anne Durand ◽  
...  

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.

2020 ◽  
Author(s):  
Peter Scalia ◽  
Farhan Ahmad ◽  
Danielle Schubbe ◽  
Rachel Forcino ◽  
Marie-Anne Durand ◽  
...  

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. CLINICALTRIAL


2021 ◽  
pp. 0272989X2199632
Author(s):  
Carissa Bonner ◽  
Lyndal J. Trevena ◽  
Wolfgang Gaissmaier ◽  
Paul K. J. Han ◽  
Yasmina Okan ◽  
...  

Background Shared decision making requires evidence to be conveyed to the patient in a way they can easily understand and compare. Patient decision aids facilitate this process. This article reviews the current evidence for how to present numerical probabilities within patient decision aids. Methods Following the 2013 review method, we assembled a group of 9 international experts on risk communication across Australia, Germany, the Netherlands, the United Kingdom, and the United States. We expanded the topics covered in the first review to reflect emerging areas of research. Groups of 2 to 3 authors reviewed the relevant literature based on their expertise and wrote each section before review by the full authorship team. Results Of 10 topics identified, we present 5 fundamental issues in this article. Although some topics resulted in clear guidance (presenting the chance an event will occur, addressing numerical skills), other topics (context/evaluative labels, conveying uncertainty, risk over time) continue to have evolving knowledge bases. We recommend presenting numbers over a set time period with a clear denominator, using consistent formats between outcomes and interventions to enable unbiased comparisons, and interpreting the numbers for the reader to meet the needs of varying numeracy. Discussion Understanding how different numerical formats can bias risk perception will help decision aid developers communicate risks in a balanced, comprehensible manner and avoid accidental “nudging” toward a particular option. Decisions between probability formats need to consider the available evidence and user skills. The review may be useful for other areas of science communication in which unbiased presentation of probabilities is important.


2020 ◽  
pp. bmjebm-2020-111371
Author(s):  
Joshua R Zadro ◽  
Adrian C Traeger ◽  
Simon Décary ◽  
Mary O'Keeffe

Patient decision aids are evidence-based tools designed to help patients make specific and deliberated choices among healthcare options. Research shows that patient decision aids increase knowledge, accuracy of risk perceptions, alignment of care with patient values and preferences, and patient involvement in decision making. Some patient decision aids can reduce the use of invasive and potentially low-value procedures. On this basis, clinical practice guidelines and international organisations have begun to recommend the use of patient decision aids and shared decision making as a strategy to reduce medical overuse. Although patient decision aids hold promise for improving healthcare, there are fundamental issues with patient decision aids that need to be addressed before further progress can be made. The problems with patient decision aids are: (1) Guidelines for developing patient decision aids may not be sufficient to ensure developers select the best available evidence and present it appropriately; (2) Biased presentation of low-certainty evidence is common and (3) Biased presentation of low-certainty evidence is misleading, and could inadvertently support, low-value care. We explore these issues in the article and present a case study of online patient decision aids for musculoskeletal pain. We suggest ways to ensure patient decision aids help patients understand the evidence and, where possible, support high-quality care.


BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e027727 ◽  
Author(s):  
Gabriel Bilodeau ◽  
Holly Witteman ◽  
France Légaré ◽  
Juliette Lafontaine-Bruneau ◽  
Philippe Voyer ◽  
...  

ObjectivesTo identify patient decision aids’ features to limit their complexity for older adults with dementia and their family caregivers.DesignMixed method, multiple case study within a user-centred design (UCD) approach.SettingCommunity-based healthcare in the province of Quebec in Canada.Participants23 older persons (aged 65+ years) with dementia and their 27 family caregivers.ResultsDuring three UCD evaluation-modification rounds, participants identified strengths and weaknesses of the patient decision aids’ content and visual design that influenced their complexity. Weaknesses of content included a lack of understanding of the decision aids’ purpose and target audience, missing information, irrelevant content and issues with terminology and sentence structure. Weaknesses of visual design included critics about the decision aids’ general layout (density, length, navigation) and their lack of pictures. In response, the design team implemented a series of practical features and design strategies, comprising: a clear expression of the patient decision aids' purpose through simple text, picture and personal stories; systematic and frequent use of pictograms illustrating key points and helping structure patient decision aids' general layout; a glossary; removal of scientific references from the main document; personal stories to clarify more difficult concepts; a contact section to facilitate implementation of the selected option; GRADE ratings to convey the quality of the evidence; a values clarification exercise formatted as a checklist and presented at the beginning of the document to streamline navigation; involvement of a panel of patient/caregiver partners to guide expression of patient priorities; editing of the text to a sixth grade reading level; UCD process to optimise comprehensiveness and relevance of content and training of patients/caregivers in shared decision-making.ConclusionsThe revised template for patient decision aids is designed to meet the needs of adults living with dementia and their caregivers better, which may translate into fewer evaluation-modification rounds.


2021 ◽  
pp. 0272989X2110203
Author(s):  
Renata W. Yen ◽  
Jenna Smith ◽  
Jaclyn Engel ◽  
Danielle Marie Muscat ◽  
Sian K. Smith ◽  
...  

Background The effectiveness of patient decision aids (PtDAs) and other shared decision-making (SDM) interventions for socially disadvantaged populations has not been well studied. Purpose To assess whether PtDAs and other SDM interventions improve outcomes or decrease health inequalities among socially disadvantaged populations and determine the critical features of successful interventions. Data Sources MEDLINE, CINAHL, Cochrane, PsycINFO, and Web of Science from inception to October 2019. Cochrane systematic reviews on PtDAs. Study Selection Randomized controlled trials of PtDAs and SDM interventions that included socially disadvantaged populations. Data Extraction Independent double data extraction using a standardized form and the Template for Intervention Description and Replication checklist. Data Synthesis Twenty-five PtDA and 13 other SDM intervention trials met our inclusion criteria. Compared with usual care, PtDAs improved knowledge (mean difference = 13.91, 95% confidence interval [CI] 9.01, 18.82 [I2 = 96%]) and patient-clinician communication (relative risk = 1.62, 95% CI 1.42, 1.84 [I2 = 0%]). PtDAs reduced decisional conflict (mean difference = −9.59; 95% CI −18.94, −0.24 [I2 = 84%]) and the proportion undecided (relative risk = 0.39; 95% CI 0.28, 0.53 [I2 = 75%]). PtDAs did not affect anxiety (standardized mean difference = 0.02, 95% CI −0.22, 0.26 [I2 = 70%]). Only 1 trial looked at clinical outcomes (hemoglobin A1C). Five of the 12 PtDA studies that compared outcomes by disadvantaged standing found that outcomes improved more for socially disadvantaged participants. No evidence indicated which intervention characteristics were most effective. Results were similar for SDM intervention trials. Limitations Sixteen PtDA studies had an overall unclear risk of bias. Heterogeneity was high for most outcomes. Most studies only had short-term follow-up. Conclusions PtDAs led to better outcomes among socially disadvantaged populations but did not reduce health inequalities. We could not determine which intervention features were most effective. [Box: see text]


2021 ◽  
pp. 0272989X2110141
Author(s):  
Holly O. Witteman ◽  
Kristin G. Maki ◽  
Gratianne Vaisson ◽  
Jeanette Finderup ◽  
Krystina B. Lewis ◽  
...  

Background The 2013 update of the evidence informing the quality dimensions behind the International Patient Decision Aid Standards (IPDAS) offered a model process for developers of patient decision aids. Objective To summarize and update the evidence used to inform the systematic development of patient decision aids from the IPDAS Collaboration. Methods To provide further details about design and development methods, we summarized findings from a subgroup ( n = 283 patient decision aid projects) in a recent systematic review of user involvement by Vaisson et al. Using a new measure of user-centeredness (UCD-11), we then rated the degree of user-centeredness reported in 66 articles describing patient decision aid development and citing the 2013 IPDAS update on systematic development. We contacted the 66 articles’ authors to request their self-reports of UCD-11 items. Results The 283 development processes varied substantially from minimal iteration cycles to more complex processes, with multiple iterations, needs assessments, and extensive involvement of end users. We summarized minimal, medium, and maximal processes from the data. Authors of 54 of 66 articles (82%) provided self-reported UCD-11 ratings. Self-reported scores were significantly higher than reviewer ratings (reviewers: mean [SD] = 6.45 [3.10]; authors: mean [SD] = 9.62 [1.16], P < 0.001). Conclusions Decision aid developers have embraced principles of user-centered design in the development of patient decision aids while also underreporting aspects of user involvement in publications about their tools. Templates may reduce the need for extensive development, and new approaches for rapid development of aids have been proposed when a more detailed approach is not feasible. We provide empirically derived benchmark processes and a reporting checklist to support developers in more fully describing their development processes. [Box: see text]


Sign in / Sign up

Export Citation Format

Share Document