Protocol
Abstract
Background: Individuals living with sickle cell disease often require aggressive treatment of pain associated with vaso-occlusive episodes in the emergency department. Frequently, pain relief is poor. The 2014 National Heart, Lung, and Blood Institute evidence-based guidelines recommended an individualized treatment and monitoring protocol to improve pain management of vaso-occlusive episodes.
Objective: This study will implement an electronic health record–embedded individualized pain plan with provider and patient access in the emergency departments of 8 US academic centers to improve pain treatment for adult patients with sickle cell disease. This study will assess the overall effects of electronic health record–embedded individualized pain plans on improving patient and provider outcomes associated with pain treatment in the emergency department setting and explore barriers and facilitators to the implementation process.
Methods: A preimplementation and postimplementation study is being conducted by all 8 sites that are members of the National Heart, Lung, and Blood Institute–funded Sickle Cell Disease Implementation Consortium. Adults with sickle cell disease aged 18 to 45 years who had a visit to a participating emergency department for vaso-occlusive episodes within 90 days prior to enrollment will be eligible for inclusion. Patients will be enrolled in the clinic or remotely. The target analytical sample size of this study is 160 patient participants (20 per site) who have had an emergency department visit for vaso-occlusive episode treatment at participating emergency departments during the study period. Each site is expected to enroll approximately 40 participants to reach the analytical sample size. The electronic health record–embedded individualized pain plans will be written by the patient’s sickle cell disease provider, and sites will work with the local informatics team to identify the best method to build the electronic health record–embedded individualized pain plan with patient and provider access. Each site will adopt required patient and provider implementation strategies and can choose to adopt optional strategies to improve the uptake and sustainability of the intervention. The study is informed by the Technology Acceptance Model 2 and the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework. Provider and patient baseline survey, follow-up survey within 96 hours of an emergency department vaso-occlusive episode visit, and selected qualitative interviews within 2 weeks of an emergency department visit will be performed to assess the primary outcome, patient-perceived quality of emergency department pain treatment, and additional implementation and intervention outcomes. Electronic health record data will be used to analyze individualized pain plan adherence and additional secondary outcomes, such as hospital admission and readmission rates.
Results: The study is currently enrolling study participants. The active implementation period is 18 months.
Conclusions: This study proposes a structured, framework-informed approach to implement electronic health record–embedded individualized pain plans with both patient and provider access in routine emergency department practice. The results of the study will inform the implementation of electronic health record–embedded individualized pain plans at a larger scale outside of Sickle Cell Disease Implementation Consortium centers.
Trial Registration: ClinicalTrials.gov NCT04584528; https://clinicaltrials.gov/ct2/show/NCT04584528.
International Registered Report Identifier (IRRID): DERR1-10.2196/24818
doi:10.2196/24818
Keywords
Introduction
Background
Sickle cell disease is an inherited red blood cell disorder affecting approximately 100,000 people in the United States, predominantly African Americans [
]. In the past few decades, clinical interventions have facilitated significant improvement in patient outcomes. The survival rate to adulthood in sickle cell disease improved from less than 50% in 1970 [ ] to nearly 95% in 2010 [ ], and the median age at death of patients with sickle cell disease increased from 28 years in 1979 to 43 years in 2014 [ ].Individuals with sickle cell disease often experience acute painful events—vaso-occlusive episodes—during which the transfer of oxygen and nutrients to tissues is decreased because of blood vessel blockage from polymerization [
]. These episodes are characterized by sudden onset of excruciating pain, often requiring high doses of opioids. Historically, pain treatment in the emergency department for individuals with sickle cell disease has been challenging [ ]. There is a growing demand to improve the treatment of vaso-occlusive episodes in adults with sickle cell disease, especially in emergency departments, where patients with sickle cell disease require immediate pain treatment [ ].In 2014, the National Heart, Lung, and Blood Institute published an expert panel report [
] of evidence-based recommendations for sickle cell disease management. The use of “an individualized prescribing and monitoring protocol or an SCD-specific protocol whenever possible” [ ] in all settings was among the treatment recommendations for vaso-occlusive episode treatment. For pediatric patients with sickle cell disease, studies have found that those treated with individualized pain plans (IPPs) had fewer hospital admissions and readmissions as well as improved pain scores [ - ]. In these studies, providers perceived that having an IPP improved the efficiency and quality of pain management [ , ]. For adult patients with sickle cell disease, however, the literature on the use of IPPs is scarce. A randomized controlled trial has shown that adult patients randomized to patient-specific or weight-based opioid pain plans in the electronic health record (EHR) experienced a significantly greater reduction in pain scores from emergency department arrival to emergency department discharge and a lower hospital admission rate [ ]. Another retrospective study found decreased time to first opioid and length of emergency department stay after IPP implementation [ ]. EHR use increased from 9.4% in 2008 to 83.8% in 2015 in nonfederal acute care hospitals [ ], so these EHR-embedded individualized pain plans are now possible in most hospitals if planned with collaborative efforts and informed by frameworks from Implementation Science [ ].The Sickle Cell Disease Implementation Consortium was established in 2016 to improve the health and well-being of adolescents and young adults with sickle cell disease [
]. The Sickle Cell Disease Implementation Consortium is a cooperative research program of 8 clinical centers; a data coordinating center; and the National Heart, Lung, and Blood Institute to promote quality of care for patients with sickle cell disease between the ages of 15 and 45 years. Investigators in the Sickle Cell Disease Implementation Consortium conducted a systematic literature review and a comprehensive needs assessment among the 8 participating centers to identify 3 key areas of improvement to address [ ]. One of the major opportunities for improvement was the treatment of pain in the adult emergency department.Patients with sickle cell disease and providers often report frustration with emergency department care, and emergency department providers may have negative attitudes toward individuals living with sickle cell disease [
- ]. These factors may result in patients having lower levels of care satisfaction and the delay or avoidance of emergency department care [ , , ]. Similarly, from the Sickle Cell Disease Implementation Consortium needs assessment, patients reported being less pleased with their emergency department care compared to their routine care, with only approximately half of participants being satisfied or perceiving adequate quality care in the emergency department [ ]. Across 8 sites, 65.7% of the 437 respondents reported that they required emergency department care for acute episodes of pain, and 34.6% of respondents reported 3 or more hospital admissions for pain in the previous year, which is consistent with previous reports in the literature [ ]. Slightly fewer than half of the emergency department provider respondents reported that either their emergency department does not have a pain treatment protocol or they were unaware if such a protocol exists [ ]. The needs assessment results suggested that establishing standardized treatment in adult emergency departments is key to improved clinical outcomes and care-seeking experiences for adult patients with sickle cell disease across 8 Sickle Cell Disease Implementation Consortium sites. Members from the Sickle Cell Disease Implementation Consortium formed a study workgroup to improve emergency department care for adult patients with sickle cell disease. The workgroup is composed of investigators from the 8 participating Sickle Cell Disease Implementation Consortium sites, representatives from the data coordinating center, and patient, caregiver, and community stakeholders.Study Aims
Overview
This study has 3 aims involving assessing organizational readiness; the reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) of the electronic health record–embedded individualized pain plans (E-IPPs); and barriers and facilitators of E-IPP implementation and use.
Aim 1
The first aim is to assess the overall effectiveness of E-IPPs in improving patient and provider outcomes associated with pain treatment in the adult emergency department setting, with the following subaims: (1) examine the effectiveness of the E-IPP on improving patients’ perceived quality of emergency department pain treatment and (2) examine the effectiveness of the E-IPP on improving providers’ self-efficacy in treating pain for patients with sickle cell disease and perceived quality of emergency department pain treatment.
Aim 2
The second aim is to assess the reach, adoption, implementation, and maintenance of the E-IPP components and implementation strategies at each participating site, with the following subaims: (1) assess the reach of the E-IPP, (2) assess the adoption and implementation of the E-IPP and track implementation strategies adopted by each site, and (3) assess the intent to continue using the E-IPP from a multistakeholder perspective.
Aim 3
The third aim is to assess organizational readiness at the beginning of implementation and barriers and facilitators to the use of E-IPPs.
Methods
Intervention
The intervention for this study is E-IPPs with emergency department provider and patient access. IPPs are records developed by the sickle cell disease providers at each study site based on patients’ outpatient opioid use and analgesic agent normally required for treatment of a vaso-occlusive episode in the emergency department (
). Each site will work with its local informatics team to make the E-IPPs available to emergency department providers via the provider EHR interface ( ) and to patients via the EHR patient portal ( ). The IPPs will be reviewed by the patients’ sickle cell disease providers every 6 months.Sites will make adjustments to patients’ IPPs to ensure that all participating patients have all required content and the E-IPPs are easily accessible to emergency department providers. The E-IPPs in the patient portal will allow patients to show their IPPs as a credible source to any emergency department providers in the United States.
E-IPP example and content. E-IPP: electronic health record–embedded individualized pain plan.
Required individualized pain plan contents
- Genotype
- Individual pain plan—preferred analgesic agent, route, dose and dosing interval, last update time
- Name and contact information for the sickle cell disease provider
Optional individualized pain plan contents
- Allergies
- Significant past medical history specific to sickle cell disease (ie, acute chest syndrome, stroke, renal disease)
- Significant other histories relative to an emergency department visit (ie, the patient is ultrasensitive to morphine or hydromorphone)
Study Setting
This study will take place in all 8 Sickle Cell Disease Implementation Consortium centers (
). Emergency department practices vary. Prior to study implementation, 2 emergency departments had E-IPPs requiring additional content insertion or building plans for some patients, while the remainder either lacked any IPPs or only had IPPs in clinical notes or as a hard copy in a secure server not in the EHR. One of the sites had patient IPP access in the clinical notes before the study, and the rest of the sites did not have patient access to IPPs.Site | City | Estimated patient population | Community | Setting | Emergency department provider IPPa access | Patient IPP access |
Augusta University Adult Center for Blood Disorders | Augusta | 358 | Urban | Academic | IPPs in secured servers in the emergency department for some patients, not in the electronic health record | No |
Duke University Medical Center | Durham | 450 | Suburban | Academic | Electronic health record–embedded IPPs, but they do not have provider contact | No |
Mount Sinai Hospital | New York | 175 | Urban | Academic | IPPs in clinical notes | No |
Methodist University Hospital | Memphis | 350 | Urban | Private hospital | IPPs in clinical notes | IPPs in clinical notes |
Barnes-Jewish Hospital | St. Louis | 300 | Urban | Academic | No IPPs | No |
University of California at San Francisco Benioff Children’s Hospital Oakland | Oakland | 286 | Urban | Academic | IPPs in clinical notes | No |
University of Illinois Hospital & Health Sciences System, Sickle Cell Center | Chicago | 600 | Urban | Academic | IPPs in emergency department and clinical notes for select patients | No |
Medical University of South Carolina Health Emergency Department | Charleston | 400 | Urban | Academic | Electronic health record–embedded IPPs | No |
aIPP: individualized pain plan.
Study Frameworks and Models
This study is guided by the RE-AIM framework, developed in 1999 to assess five dimensions (Reach, Effectiveness, Adoption, Implementation, and Maintenance) [
- ]. Each dimension of RE-AIM will be evaluated with measures at the patient, provider, or organizational and system levels where appropriate. RE-AIM was selected for this intervention because of its focus on dimensions of intervention design and implementation processes that can either facilitate or impede beneficial outcomes and can be replicated and sustained in diverse clinical settings [ , ].To complement the RE-AIM framework, this study will use a simplified version of the Technology Acceptance Model 2 (TAM2) [
] to understand E-IPP use ( ). Although the TAM2 is a comprehensive model to explain technology acceptance and use, it includes additional constructs that are impractical to be measured in the emergency department setting. We have simplified the TAM2 model and will use its main constructs to help explain the intention and actual use of the E-IPPs.The study protocol was also developed based on the Standard Protocol Items for Clinical Trials [
], a guideline for the minimum content of a clinical trial protocol, and the Standards for Reporting Implementation Studies [ ], a guideline to improve the reporting of implementation studies.Study Design
The study uses a preimplementation and postimplementation design in which the IPPs will be embedded in patient EHRs, with both provider and patient having access to view the E-IPPs.
shows the program logic model specifying the determinants, implementation strategies, mechanisms of action, and outcomes [ ]. The organization of determinants is informed by the Consolidated Framework of Implementation Research, which provides a comprehensive list of constructs that would influence implementation [ ], and the study’s readiness assessment, described in the following section. shows the study flow for each site.Given that sickle cell disease is a rare disease and most patients with sickle cell disease do not have frequent emergency department visits per year, the preimplementation and postimplementation design without control groups is the most feasible study design. Sites will overenroll participants to ensure that enough participants will have a qualified emergency department visit during the implementation period. Additionally, it took a few months to 2 years for sites to work with their local informatics teams to make the E-IPPs available to emergency department providers and patients; therefore, a waitlist-control or stepped-wedged design is not feasible given the study timeline.
The study rollout will allow for emergency department provider training of the E-IPP, development and implementation of the E-IPPs, and evaluation postimplementation. Because of the COVID-19 pandemic, sites have adjusted to the rollout timeline. Two sites began the project in September 2020. The active implementation period is 12 months from the first day of patient enrollment, and the overall implementation phase will be 18 months.
Implementation Strategies
Based on existing evidence, workgroup expertise, and the feasibility of implementing the E-IPP, the workgroup identified required and optional implementation strategies at the patient and provider levels to facilitate implementation and use of the E-IPP (
).Strategy | Patient | Provider |
Required |
|
|
Optional |
|
|
aE-IPP: electronic health record–embedded individualized pain plan.
Participants and Eligibility Criteria
Site coordinators will keep a tracking log for patient and provider participants (
).Entity | Criteria | |
Participating sites | ||
Inclusion |
| |
Exclusion |
| |
Patient participants | ||
Inclusion |
| |
Exclusion |
| |
Provider participants | ||
Inclusion |
| |
Exclusion |
|
aIPP: individualized pain plan.
aE-IPP: electronic health record–embedded individualized pain plan.
Recruitment
Patient Recruitment and Procedures
Potential participants will be approached in person, by phone, or via electronic media about enrolling in the study. All patients enrolled in the Sickle Cell Disease Implementation Consortium registry and screened as eligible will be contacted by research staff for participation in the emergency department project. Additional participants meeting criteria at participating Sickle Cell Disease Implementation Consortium sites not previously enrolled in the registry are also eligible and may be recruited in the clinic, during hospitalizations, or at community events by research staff. Patient participants will provide informed consent before study participation.
Provider Recruitment
All emergency department providers will be able to access the E-IPPs and will receive training on the protocol at staff meetings, resident conferences, or through emails. All emergency department providers will be invited to complete a baseline survey at enrollment with an information sheet introducing the study. If an enrolled patient participant has a qualified emergency department visit and the corresponding emergency department provider has not received training or completed the baseline survey, the study team will send a provider follow-up survey to the provider at enrollment with an information sheet introducing the study.
A qualified emergency department visit is defined as (1) a visit for an enrolled patient to a participating emergency department, the reason for the visit is a vaso-occlusive episode, and the patient has an E-IPP at the time of the emergency department visit; and (2) the patient’s first emergency department vaso-occlusive episode visit of the month, after enrollment, within the 12 month study period for that patient.
Data Collection
The data collected in this study will consist of a readiness assessment; EHR data retrieval from patient records; patient baseline and follow-up surveys; provider baseline and follow-up surveys; and patient, provider, and emergency department administrator interviews. All measures (other than the readiness assessment) are matched with the RE-AIM framework (
).Readiness Assessment
The participating centers will administer a Readiness Diagnostic Scale (RDS) developed by members of the Consortium’s Implementation Research Committee at the beginning of the implementation period [
]. The RDS is a quantitative assessment to capture 3 interrelated dimensions of organizational readiness: general capacities (34 items), assessing participating emergency department’s existing emergency department practice and how it functions overall; intervention-specific capacities (13 items), assessing participating emergency department capacity to use the E-IPP; and motivation (17 items), assessing how well the emergency department facilitates physicians’ willingness to use the E-IPP.Each site is required to have at least 5 total completed RDSs from a study team researcher, emergency department administrator, emergency department physician, and emergency department nurse to capture different system-level roles in clinical care.
EHR Data Retrieval
Each participating site will perform EHR data retrieval for enrolled patients’ past 12 months ED visits and qualified ED visits to collect: hospital admission rate; 7- and 30-day emergency department revisit rate; 7- and 30-day hospital readmission rate; time to first dose of analgesic agent; and administered analgesic agent, dose, and route. At the end of the project, the site will also retrieve the following from the EHR: number of E-IPPs written and time of writing or updating, number of new E-IPPs available in the EHR and time of becoming available, and number of new patients at each site who are being offered access to their pain plan in the EHR after study enrollment targets are met. Data retrieval will follow a manual of procedures created by the workgroup to reduce bias [
, ].Patient Baseline and Follow-up Survey
Each participating site will administer a brief patient baseline survey at the time of patient enrollment that will assess patient demographic data, patient-perceived quality of emergency department pain treatment for the last emergency department visit (within 90 days of enrollment), and how well the patient knows how to use the patient portal. Within 96 hours of a qualified emergency department visit, the research team will send a follow-up survey by text message to the patient that will assess patient’s perceived quality of emergency department pain treatment for this visit, how well they know how to use the patient portal, perceived ease of use of the E-IPP, patient and emergency department provider use of E-IPP during the last visit, satisfaction with the E-IPP, and intent to use the E-IPP for next emergency department vaso-occlusive episode visit. Patients will receive up to 3 follow-up surveys during the study period.
Patient Interview
After a center has had 5 patients with qualified emergency department visits, its team will begin to invite patients for interviews within 2 weeks of a qualified emergency department visit. The patient interview will assess the patient’s experiences using (or not using) the E-IPP, what was helpful and challenging about using the E-IPP, if pain treatment has changed (or not changed) because of the E-IPP, patient satisfaction with the E-IPP, proposed recommendations to improve the E-IPP, intent to use the E-IPP in the future, and additional questions on implementation strategies such as the wallet card. The research team will use purposeful sampling for qualitative data collection [
], based on matched patient and provider survey responses and implementation outcomes of the IPPs.Provider Baseline and Follow-up Survey
Each participating site will administer a brief provider baseline survey at the time of provider enrollment that will assess provider-perceived quality of emergency department pain treatment and provider’s self-efficacy to manage acute pain episodes for patients with sickle cell disease. Within 96 hours of a qualified emergency department visit, the research team will send a follow-up survey via email to the enrolled provider who ordered the first analgesic. The provider follow-up survey will assess use of E-IPP, ease of E-IPP use, E-IPP adherence, perceived quality of emergency department pain treatment, satisfaction with the E-IPP, and intent to use the E-IPP in the future.
Provider Interview
After a center has had 5 patients with qualified emergency department visits, the team will begin to invite providers who ordered the first analgesic for interviews within 2 weeks of a qualified emergency department visit. The provider interview will assess provider’s experiences using (or not using) the E-IPPs, what was helpful and challenging about using the E-IPPs, proposed recommendations to improve the E-IPPs, intent to use the E-IPP in the future, and additional questions on implementation strategies. The research team will use purposeful sampling for qualitative data collection [
], based on matched patient and provider survey responses and implementation outcomes of the E-IPPs.Emergency Department Administrator Interview
At the end of the implementation period, each site team will invite emergency department administrators to a postimplementation interview that will assess barriers and facilitators to intervention implementation, emergency department administrator’s experiences implementing and using the E-IPP, and emergency department administrator’s intent to continue using the E-IPP in the future.
Tracking and Reporting Implementation Strategies
A parallel study has been funded to capture the planned and actual implementation strategies employed by each site [
]. Semistructured interviews with 3 stakeholders from each site before participant recruitment and at the end of the intervention, as well as quantitative surveys at the midpoint of project implementation, will capture the barriers and facilitators of the strategies planned and whether there have been any adaptations made. Questions have been informed by the implementation and maintenance domains of the RE-AIM framework.Statistical Analysis Power and Sample Size
The study plans to have an analytical sample size of 160 patient participants, 20 for each site, for its primary outcome analysis. Each site is expected to enroll approximately 40 participants to reach the analytical sample size.
Sample size was calculated for the primary outcome, patient satisfaction with emergency department pain treatment through their perceived quality of emergency department pain treatment. For the power calculations, we used results from the Sickle Cell Disease Implementation Consortium needs assessment [
, ], which used similar measurements to assess patient satisfaction with emergency department pain treatment. We assumed that the correlations between responses would not change and conducted a simulation to determine statistical power to detect a treatment difference of half a standard deviation. The sample estimation model has several assumptions: the intervention effect will vary across sites with the standard deviation for the random intervention effect set at 0.447; within-site correlation (commonly referred to as intercluster correlation) of baseline measurements, calculated as the ratio of site-level variance over the total variance, is set at 0.10; and within-participant correlation, calculated as the ratio of individual-level variance over total individual variance, is set at 0.50, reflecting the expectation that the preintervention composite score is predictive of the postintervention score.Based on the Sickle Cell Disease Implementation Consortium registry data, we estimated that at least 50% of the study patient participants will have at least 1 qualified emergency department visit during the study period and that approximately 20% of the participants will be lost to follow-up and provide no posttest data. The total number of patients a site will recruit is approximately 40. The results indicate that the study will have >90% power to reject the null hypothesis when the intervention results in an average improvement in patient-perceived quality of emergency department care of 0.5 standard deviations under the assumed conditions.
Data Analysis
Primary Outcome
The primary outcome is patient satisfaction with emergency department pain treatment through their perceived quality of emergency department pain treatment (
). This is measured with a composite of 3 questions developed based on the Adult Sickle Cell Quality of Life Measure Quality of Care measure [ ]. The impact of the intervention on the primary outcome will be estimated using a linear mixed model. A 3-level model with random effects for site, participants nested within site, and site-to-site variation in the treatment effect and a fixed effect for treatment response will be specified to assess the impact of the intervention. The primary analysis will be based on the preintervention composite score and the score at 1 emergency department visit per participant, using the first visit for those with more than one. The model can accommodate multiple visits per participant by adding a covariance matrix to account for repeated observations.Other Outcomes
The secondary outcomes of hospital admission rate (a count outcome, as multiple hospital admissions are possible), 7-day emergency department vaso-occlusive episode revisit (a dichotomous outcome), and time to first dose, and other provider-level outcomes will be analyzed with generalized linear mixed models, where the outcome will be specified as a Poisson or binomial variable with a logit function as needed by the data type of outcome. The generalized linear mixed models would follow the same format as the linear mixed model with fixed effects for time, intervention, and covariates and random effects for participants within sites. The secondary outcome of satisfaction with IPP, measured with a single Likert scale question for both patient and provider, will be analyzed as a continuous outcome with a linear mixed model as detailed above for the primary outcome. In all cases, the analysis will estimate an intervention effect that will compare the secondary outcome at baseline to after the intervention is delivered. Power calculations indicate that the study sample will be too small to detect statistically significant differences in these noncontiguous variables, but estimates will be provided to inform future research.
The analysis of the quantitative readiness assessment result and the reach, adoption, implementation, and maintenance outcomes will be descriptive. As a preliminary attempt, at the end of the intervention, the results of the readiness assessment will inform our interpretation of the implementation and effectiveness outcomes. Sites with a lower level of readiness may face challenges during implementation, which will affect their implementation outcome and intervention effectiveness.
For qualitative interviews, the workgroup members will develop a codebook informed by the RE-AIM framework for data analysis. Using a deductive approach, the codebook will include an initial list of codes to be used in the analysis and definitions or operationalized examples for each code. Analysts will revise the codebook as necessary to hone definitions to increase consistency in coding across the research teams. Data will be compiled into different stakeholder groups by themes and analyzed across the study sites.
Results
At the time of submission, this study was approved by the institutional review board of Duke University (IRB Pro 000073506), Icahn School of Medicine at Mount Sinai (IRB 20-04302), Medical University of South Carolina (IRB Pro 00097830), Washington University School of Medicine (IRB 202006209), University of California San Francisco (IRB 20-30981), University of Illinois Chicago (IRB 2016-02998). The full protocol and study manual of procedures are available from the corresponding author upon request. The study is registered (NCT04584528) and enrolling participants. Sites that did not have IPPs for all patients are working with the sickle cell disease providers to build the plans with patients during clinic visits. Because of the COVID-19 outbreak, sites have changed the planned recruitment timeline and will continue enrolling until the target is reached.
Discussion
With the rapid expansion of the use of EHR in the past decade, building an EHR-embedded treatment plan for different patient populations has gained increased interest, especially in the emergency department, where decision making is time sensitive. Previous research has explored various decision support tools, including treatment plans, to facilitate emergency department provider decision making [
, - ]. The E-IPP intervention is a direct result of a large-scale needs assessment effort and is designed to meet the needs of participating sites and patient populations. Guided by the RE-AIM theoretical framework and a widely used TAM2 model explaining technology uptake, the protocol proposes to test the effectiveness of the E-IPP while also describing how the intervention is implemented and assessing implementation outcomes in detail.Previous research on individualized treatment plans for patients with sickle cell disease has largely been conducted in pediatric settings [
- ]. These studies demonstrated that providers perceived that digitization of the treatment plans could help improve the efficiency and quality of pain management [ - ]. So far, only 1 randomized controlled trial [ ] has tested the effectiveness of an individualized treatment plan compared to a weight-based plan for adult patients with sickle cell disease and showed significant efficacy, but the results were not generalizable, as it was conducted in only 2 emergency departments with 52 patients. While previous studies have focused on assessing patient outcomes, this study will assess multilevel outcomes, including patient experience and satisfaction. With a comprehensive understanding of the uptake and implementation of the E-IPPs, the intervention will be more likely to successfully be disseminated to other emergency departments on a large scale.The most novel component of this protocol is making the E-IPP available to the patient. Many sickle cell centers already make IPPs available to the emergency department provider, but few have been able to make these accessible to the patient. Among 8 Sickle Cell Disease Implementation Consortium sites, only 1 site had patient IPP access through the clinical notes. With this project, patients will have easy E-IPP access and will be able to present their IPPs to the emergency department provider directly via the patient portal app on their cellular device. In the past decade, smartphone ownership has increased significantly in the United States, even among low- and moderate-income communities [
]. Over 70% of individuals with an annual income of less than $30,000 reported smartphone ownership in 2019, and the rates of smartphone ownership among patients with sickle cell disease are similar [ - ]. Previous studies [ - ] have identified barriers to patients accessing and using an EHR, and participants with limited health literacy may need additional time to navigate the EHR patient portal. Previous literature has demonstrated substantial disparities in portal use, indicating that vulnerable populations, such as racial and ethnic minorities and individuals with low socioeconomic status, are less likely to use patient portals, which is relevant for sickle cell disease, as the majority of individuals living with sickle cell disease are African American [ , ]. This study will accommodate many barriers by providing a one-on-one session to help patients install the patient portal for E-IPP access and by providing a wallet card with instructions and videos of how to access their E-IPPs. As previous exploratory research on disease-specific patient portals in patients with sickle cell disease has achieved high acceptability, the E-IPPs, within a few clicks from the main menu, are likely to be viewed favorably by study participants [ ]. The study will be able to explore whether patient access to E-IPPs will help with their treatment experiences in the emergency departments.For the protocol, a significant challenge is to balance the desire for robust study design with practical needs in the emergency departments, which is common for implementation research studies [
]. Acknowledging that a preimplementation and postimplementation study design without control groups has limitations, it is the only feasible solution given that sickle cell disease is a rare disease and study sites must overenroll participants to collect data on enough emergency department visits to generate meaningful results. All emergency department sites want to adopt E-IPP implementation to improve practice as soon as possible. The protocol uses comprehensive mixed methods data collection [ ] to compensate for the study design to achieve the 3 study aims. Some of the activities will be exploratory in nature and provide preliminary data to inform future work expanding the E-IPP on a larger scale and beyond academic settings.Another significant challenge is that the Sickle Cell Disease Implementation Consortium consists of 8 academic sites, and local practices vary. Because the EHR systems may be structured in different ways, sites have spent an extensive amount of time working with their local informatics teams to make the E-IPPs available in both patient and provider channels. The protocol has adopted several measures to capture and address this diversity, including surveying sites about their existing practices, incorporating the readiness assessment component to help sites understand capacity and motivations that may be unique to their site, and a separate protocol to solely focus on implementation strategies and adaptations at the site level.
In summary, this study proposes a framework-informed, structured approach to implement a guideline recommendation in routine emergency department practice. It is the first multisite study investigating the effectiveness of E-IPPs in adult emergency departments at both the provider and patient levels. The results of the study will inform the implementation of IPPs with emergency department provider and patient access at a larger scale.
Acknowledgments
The Sickle Cell Disease Implementation Consortium has been supported by US Federal Government cooperative agreements (HL133948, HL133964, HL133990, HL133996, HL133994, HL133997, HL134004, HL134007, and HL134042) from the National Heart, Lung, and Blood Institute and the National Institute on Minority Health and Health Disparities in Bethesda, Maryland. We thank our Sickle Cell Disease Implementation Consortium stakeholders for their contributions to the project: Kamilah Bailey, Johnny Gamble, Georgia Boateng, Leroy Ediage, Donnette Carroll, Danielle Jamison, Justin Flowers, Amanda Fuller, Sorivette Surillo, Beverly Chukwudozie, and Rosemary Britts. A full list of Sickle Cell Disease Implementation Consortium members can be found in
.Conflicts of Interest
PT has received funding from the National Heart, Lung, and Blood Institute and is a consultant for CSL Behring LLC.
Program logic model of the E-IPPs. ED: emergency department; EHR: electronic health record; E-IPP: electronic health record–embedded individualized pain plan; IPP: individualized pain plan; SCD: sickle cell disease.
PNG File , 107 KB
Outcomes and the RE-AIM evaluation framework.
DOCX File , 32 KB
List of Sickle Cell Disease Implementation Consortium investigators.
DOCX File , 27 KB
NHLBI Peer-review Report, with comments and responses.
PDF File (Adobe PDF File), 781 KBReferences
- Sickle cell disease: data and statistics. US Centers for Disease Control and Prevention. 2020 Dec 16. URL: https://www.cdc.gov/ncbddd/sicklecell/data.html [accessed 2021-01-20]
- Scott RB. Health care priority and sickle cell anemia. JAMA 1970 Oct 26;214(4):731-734. [Medline]
- Quinn CT, Rogers ZR, McCavit TL, Buchanan GR. Improved survival of children and adolescents with sickle cell disease. Blood 2010 Apr 29;115(17):3447-3452 [FREE Full text] [CrossRef] [Medline]
- Payne AB, Mehal JM, Chapman C, Haberling DL. Mortality trends and causes of death in persons with sickle cell disease in the united states, 1979-2014. Blood 2017;(Supplement 1):865 [FREE Full text]
- Ware RE, de Montalembert M, Tshilolo L, Abboud MR. Sickle cell disease. Lancet 2017 Jul 15;390(10091):311-323. [CrossRef] [Medline]
- Evensen CT, Treadwell MJ, Keller S, Levine R, Hassell KL, Werner EM, et al. Quality of care in sickle cell disease: cross-sectional study and development of a measure for adults reporting on ambulatory and emergency department care. Medicine (Baltimore) 2016 Aug;95(35):e4528 [FREE Full text] [CrossRef] [Medline]
- Kavanagh PL, Hirshon JM. EDSC3: working to improve emergency department care of individuals with sickle cell disease. Ann Emerg Med 2020 Sep;76(3S):S80-S82. [CrossRef] [Medline]
- Yawn BP, Buchanan GR, Afenyi-Annan AN, Ballas SK, Hassell KL, James AH, et al. Management of sickle cell disease: summary of the 2014 evidence-based report by expert panel members. JAMA 2014 Sep 10;312(10):1033-1048. [CrossRef] [Medline]
- Krishnamurti L, Smith-Packard B, Gupta A, Campbell M, Gunawardena S, Saladino R. Impact of individualized pain plan on the emergency management of children with sickle cell disease. Pediatr Blood Cancer 2014 Oct;61(10):1747-1753. [CrossRef] [Medline]
- Schefft MR, Swaffar C, Newlin J, Noda C, Sisler I. A novel approach to reducing admissions for children with sickle cell disease in pain crisis through individualization and standardization in the emergency department. Pediatr Blood Cancer 2018 Oct;65(10):e27274. [CrossRef] [Medline]
- Kato-Lin Y, Krishnamurti L, Padman R, Seltman HJ. Does e-pain plan improve management of sickle cell disease associated vaso-occlusive pain crisis? a mixed methods evaluation. Int J Med Inform 2014 Nov;83(11):814-824. [CrossRef] [Medline]
- Tanabe P, Silva S, Bosworth HB, Crawford R, Paice JA, Richardson LD, et al. A randomized controlled trial comparing two vaso-occlusive episode (VOE) protocols in sickle cell disease (SCD). Am J Hematol 2018 Feb;93(2):159-168 [FREE Full text] [CrossRef] [Medline]
- Della-Moretta S, Delatore L, Purcell M, Huang Y, Heinlein M, Adkins E, et al. The effect of use of individualized pain plans in sickle cell patients presenting to the emergency department. Ann Emerg Med 2020 Sep;76(3S):S21-S27. [CrossRef] [Medline]
- Henry J, Pylypchuk T, Searcy T, Patel V. Adoption of electronic health record systems among US non-federal acute care hospitals: 2008–2015. ONC Data Brief 35. Office of the National Coordinator for Health Information Technology. 2016 May. URL: https://dashboard.healthit.gov/evaluations/data-briefs/non-federal-acute-care-hospital-ehr-adoption-2008-2015.php [accessed 2021-02-05]
- Lobb R, Colditz GA. Implementation science and its application to population health. Annu Rev Public Health 2013;34:235-251 [FREE Full text] [CrossRef] [Medline]
- DiMartino LD, Baumann AA, Hsu LL, Kanter J, Gordeuk VR, Glassberg J, Sickle Cell Disease Implementation Consortium. The sickle cell disease implementation consortium: translating evidence-based guidelines into practice for sickle cell disease. Am J Hematol 2018 Dec;93(12):E391-E395. [CrossRef] [Medline]
- Kanter J, Gibson R, Lawrence RH, Smeltzer MP, Pugh NL, Glassberg J, et al. Perceptions of US adolescents and adults with sickle cell disease on their quality of care. JAMA Netw Open 2020 May 01;3(5):e206016 [FREE Full text] [CrossRef] [Medline]
- Glassberg JA. Improving emergency department-based care of sickle cell pain. Hematology Am Soc Hematol Educ Program 2017 Dec 08;2017(1):412-417 [FREE Full text] [CrossRef] [Medline]
- Jenerette CM, Pierre-Louis BJ, Matthie N, Girardeau Y. Nurses' attitudes toward patients with sickle cell disease: a worksite comparison. Pain Manag Nurs 2015 Jun;16(3):173-181 [FREE Full text] [CrossRef] [Medline]
- Stewart KA, Parshad-Asnani M, Wonkam A, Bollinger J, Ngo Bitoungui V, Wonkam-Tingang E, et al. “Pain is subjective”: a mixed-method study of provider attitudes and practices regarding pain management in sickle cell disease across three countries. J Pain Symptom Manage 2020 Sep 01 [FREE Full text] [CrossRef] [Medline]
- Abdallah K, Buscetta A, Cooper K, Byeon J, Crouch A, Pink S, et al. Emergency department utilization for patients living with sickle cell disease: psychosocial predictors of health care behaviors. Ann Emerg Med 2020 Sep;76(3):S56-S63 [FREE Full text] [CrossRef] [Medline]
- Haywood C, Lanzkron S, Hughes MT, Brown R, Massa M, Ratanawongsa N, et al. A video-intervention to improve clinician attitudes toward patients with sickle cell disease: the results of a randomized experiment. J Gen Intern Med 2011 May;26(5):518-523 [FREE Full text] [CrossRef] [Medline]
- Linton EA, Goodin DA, Hankins JS, Kanter J, Preiss L, Simon J, Sickle Cell Disease Implementation Consortium. A survey-based needs assessment of barriers to optimal sickle cell disease care in the emergency department. Ann Emerg Med 2020 Sep;76(3S):S64-S72. [CrossRef] [Medline]
- Glasgow RE, Vogt TM, Boles SM. Evaluating the public health impact of health promotion interventions: the RE-AIM framework. Am J Public Health 1999 Sep;89(9):1322-1327. [CrossRef] [Medline]
- Tabak RG, Khoong EC, Chambers DA, Brownson RC. Bridging research and practice: models for dissemination and implementation research. Am J Prev Med 2012 Sep;43(3):337-350 [FREE Full text] [CrossRef] [Medline]
- Glasgow RE, Harden SM, Gaglio B, Rabin B, Smith ML, Porter GC, et al. RE-AIM planning and evaluation framework: adapting to new science and practice with a 20-year review. Front Public Health 2019;7:64 [FREE Full text] [CrossRef] [Medline]
- Holtrop JS, Rabin BA, Glasgow RE. Qualitative approaches to use of the RE-AIM framework: rationale and methods. BMC Health Serv Res 2018 Mar 13;18(1):177 [FREE Full text] [CrossRef] [Medline]
- Venkatesh V, Davis FD. A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science 2000 Feb;46(2):186-204. [CrossRef]
- Chan A, Tetzlaff JM, Altman DG, Laupacis A, Gøtzsche PC, Krleža-Jerić K, et al. SPIRIT 2013 statement: defining standard protocol items for clinical trials. Ann Intern Med 2013 Feb 05;158(3):200-207 [FREE Full text] [CrossRef] [Medline]
- Pinnock H, Barwick M, Carpenter CR, Eldridge S, Grandes G, Griffiths CJ, StaRI Group. Standards for reporting implementation studies (StaRI) statement. BMJ 2017 Mar 06;356:i6795 [FREE Full text] [CrossRef] [Medline]
- Smith JD, Li DH, Rafferty MR. The implementation research logic model: a method for planning, executing, reporting, and synthesizing implementation projects. Implement Sci 2020 Sep 25;15(1):84 [FREE Full text] [CrossRef] [Medline]
- Damschroder LJ, Aron DC, Keith RE, Kirsh SR, Alexander JA, Lowery JC. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science. Implement Sci 2009 Aug 07;4:50 [FREE Full text] [CrossRef] [Medline]
- The Sickle Cell Disease Implementation Consortium. An introduction to the align study. Vimeo. URL: https://vimeo.com/458215490/fac540debf [accessed 2021-01-19]
- Individualized care plans for acute sickle cell pain crises. Washington University School of Medicine Division of Emergency Medicine. URL: https://emergencymedicine.wustl.edu/items/individualized-care-plans-for-acute-sickle-cell-pain-crises/ [accessed 2021-01-19]
- Scaccia JP, Cook BS, Lamont A, Wandersman A, Castellow J, Katz J, et al. A practical implementation science heuristic for organizational readiness: R = MC. J Community Psychol 2015 Apr;43(4):484-501 [FREE Full text] [CrossRef] [Medline]
- Kaji AH, Schriger D, Green S. Looking through the retrospectoscope: reducing bias in emergency medicine chart review studies. Ann Emerg Med 2014 Sep;64(3):292-298. [CrossRef] [Medline]
- Gilbert EH, Lowenstein SR, Koziol-McLain J, Barta DC, Steiner J. Chart reviews in emergency medicine research: where are the methods? Ann Emerg Med 1996 Mar;27(3):305-308. [CrossRef] [Medline]
- Palinkas LA, Horwitz SM, Green CA, Wisdom JP, Duan N, Hoagwood K. Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Adm Policy Ment Health 2015 Sep;42(5):533-544 [FREE Full text] [CrossRef] [Medline]
- Baumann AA, Belle SH, James A, King AA, Sickle Cell Disease Implementation Consortium. Specifying sickle cell disease interventions: a study protocol of the Sickle Cell Disease Implementation Consortium (SCDIC). BMC Health Serv Res 2018 Jun 27;18(1):500 [FREE Full text] [CrossRef] [Medline]
- Press A, McCullagh L, Khan S, Schachter A, Pardo S, McGinn T. Usability testing of a complex clinical decision support tool in the emergency department: lessons learned. JMIR Hum Factors 2015 Sep 10;2(2):e14 [FREE Full text] [CrossRef] [Medline]
- Hoeksema LJ, Bazzy-Asaad A, Lomotan EA, Edmonds DE, Ramírez-Garnica G, Shiffman RN, et al. Accuracy of a computerized clinical decision-support system for asthma assessment and management. J Am Med Inform Assoc 2011 May 01;18(3):243-250 [FREE Full text] [CrossRef] [Medline]
- Ray JM, Ahmed OM, Solad Y, Maleska M, Martel S, Jeffery MM, et al. Computerized clinical decision support system for emergency department–initiated buprenorphine for opioid use disorder: user-centered design. JMIR Hum Factors 2019 Feb 27;6(1):e13121 [FREE Full text] [CrossRef] [Medline]
- Mobile fact sheet. Pew Research Center. 2017 Jun 12. URL: https://www.pewresearch.org/internet/fact-sheet/mobile/ [accessed 2021-01-19]
- Badawy SM, Thompson AA, Liem RI. Technology access and smartphone app preferences for medication adherence in adolescents and young adults with sickle cell disease. Pediatr Blood Cancer 2016 May;63(5):848-852. [CrossRef] [Medline]
- Estepp JH, Winter B, Johnson M, Smeltzer MP, Howard SC, Hankins JS. Improved hydroxyurea effect with the use of text messaging in children with sickle cell anemia. Pediatr Blood Cancer 2014 Nov;61(11):2031-2036. [CrossRef] [Medline]
- Tieu L, Schillinger D, Sarkar U, Hoskote M, Hahn KJ, Ratanawongsa N, et al. Online patient websites for electronic health record access among vulnerable populations: portals to nowhere? J Am Med Inform Assoc 2017 Apr 01;24(e1):e47-e54 [FREE Full text] [CrossRef] [Medline]
- Kooij L, Groen WG, van Harten WH. Barriers and facilitators affecting patient portal implementation from an organizational perspective: qualitative study. J Med Internet Res 2018 May 11;20(5):e183 [FREE Full text] [CrossRef] [Medline]
- Foster B, Krasowski MD. The use of an electronic health record patient portal to access diagnostic test results by emergency patients at an academic medical center: retrospective study. J Med Internet Res 2019 Jun 28;21(6):e13791 [FREE Full text] [CrossRef] [Medline]
- Goldzweig CL, Orshansky G, Paige NM, Towfigh AA, Haggstrom DA, Miake-Lye I, et al. Electronic patient portals: evidence on health outcomes, satisfaction, efficiency, and attitudes: a systematic review. Ann Intern Med 2013 Nov 19;159(10):677. [CrossRef]
- Kidwell KM, Peugh J, Westcott E, Nwankwo C, Britto MT, Quinn CT, et al. Acceptability and feasibility of a disease-specific patient portal in adolescents with sickle cell disease. J Pediatr Hematol Oncol 2019 Oct;41(7):561-567 [FREE Full text] [CrossRef] [Medline]
- Handley MA, Lyles CR, McCulloch C, Cattamanchi A. Selecting and improving quasi-experimental designs in effectiveness and implementation research. Annu Rev Public Health 2018 Apr 01;39:5-25. [CrossRef] [Medline]
- Palinkas LA, Aarons GA, Horwitz S, Chamberlain P, Hurlburt M, Landsverk J. Mixed method designs in implementation research. Adm Policy Ment Health 2011 Jan;38(1):44-53 [FREE Full text] [CrossRef] [Medline]
Abbreviations
EHR: electronic health record |
E-IPP: electronic health record–embedded individualized pain plan |
IPP: individualized pain plan |
RDS: Readiness Diagnostic Scale |
RE-AIM: Reach, Efficacy, Adoption, Implementation, and Maintenance Model |
TAM2: Technology Acceptance Model 2 |
Edited by T Derrick; This paper was peer reviewed by the National Heart, Lung, and Blood Institute. See the Multimedia Appendix for the peer-review report; submitted 15.12.20; accepted 18.12.20; published 16.04.21
Copyright©Lingzi Luo, Allison A King, Yvonne Carroll, Ana A Baumann, Donald Brambilla, Christopher R Carpenter, Joseph Colla, Robert W Gibson, Siera Gollan, Greg Hall, Lisa Klesges, Abdullah Kutlar, Matthew Lyon, Cathy L Melvin, Sarah Norell, Martina Mueller, Michael B Potter, Rachel Richesson, Lynne D Richardson, Gery Ryan, Lauren Siewny, Marsha Treadwell, Leslie Zun, Janelle Armstrong-Brown, Lisa Cox, Paula Tanabe. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 16.04.2021.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.