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Implementation of the uterine fibroids Option Grid patient decision aids across five organizational settings: a randomized stepped-wedge study protocol

Abstract

Background

Uterine fibroids are non-cancerous overgrowths of the smooth muscle in the uterus. As they grow, some cause problems such as heavy menstrual bleeding, pelvic pain, discomfort during sexual intercourse, and rarely pregnancy complications or difficulty becoming pregnant. Multiple treatment options are available. The lack of comparative evidence demonstrating superiority of any one treatment means that choosing the best option is sensitive to individual preferences. Women with fibroids wish to consider treatment trade-offs. Tools known as patient decision aids (PDAs) are effective in increasing patient engagement in the decision-making process. However, the implementation of PDAs in routine care remains challenging. Our aim is to use a multi-component implementation strategy to implement the uterine fibroids Option Grid™ PDAs at five organizational settings in the USA.

Methods

We will conduct a randomized stepped-wedge implementation study where five sites will be randomized to implement the uterine fibroid Option Grid PDA in practice at different time points. Implementation will be guided by the Consolidated Framework for Implementation Research (CFIR) and Normalization Process Theory (NPT). There will be a 6-month pre-implementation phase, a 2-month initiation phase where participating clinicians will receive training and be introduced to the Option Grid PDAs (available in text, picture, or online formats), and a 6-month active implementation phase where clinicians will be expected to use the PDAs with patients who are assigned female sex at birth, are at least 18 years of age, speak fluent English or Spanish, and have new or recurrent symptoms of uterine fibroids. We will exclude postmenopausal patients. Our primary outcome measure is the number of eligible patients who receive the Option Grid PDAs. We will use logistic and linear regression analyses to compare binary and continuous quantitative outcome measures (including survey scores and Option Grid use) between the pre- and active implementation phases while adjusting for patient and clinician characteristics.

Discussion

This study may help identify the factors that impact the implementation and sustained use of a PDA in clinic workflow from various stakeholder perspectives while helping patients with uterine fibroids make treatment decisions that align with their preferences.

Trial registration

Clinicaltrials.gov, NCT03985449. Registered 13 July 2019, https://clinicaltrials.gov/ct2/show/NCT03985449

Peer Review reports

Background

Uterine fibroids, non-cancerous overgrowths of the smooth muscle in the uterus, develop in nearly half of all women of reproductive age [1]. Some uterine fibroids give rise to heavy menstrual bleeding, pelvic pain, discomfort during sexual intercourse, pregnancy complications, and/or difficulty becoming pregnant [1]. Given racial disparities in the US prevalence of symptomatic uterine fibroids, African-American and Latina women may be more likely to experience these issues and also may have poorer treatment outcomes, greater economic burden, and higher incidence of uterine fibroids in comparison to White women [2,3,4,5].

Many options are available to treat uterine fibroids including medications, intrauterine devices (with and without hormones), destruction of the inner layer of the uterine wall (endometrial ablation), removal of the uterus (hysterectomy), removal of fibroids (myomectomy), or reducing blood supply to the uterus (uterine artery embolization). However, insufficient evidence exists about the comparative effectiveness of treatments for uterine fibroids [2, 6, 7]. Choosing the best treatment option for uterine fibroids requires women to consider the unique characteristics of each option and weigh which option might best fit her needs and preferences.

Patient decision aids (PDAs) like Option Grid™ can help educate patients to better navigate preference-sensitive treatment decisions [8, 9]. Option Grids (available in text, picture, or online formats) present evidence-based information in a tabular format, so patients can compare options together with clinicians [10]. Across a variety of clinical contexts, Option Grid PDAs increase patient knowledge and shared decision making without significantly increasing encounter duration [11, 12]. A previous version of the uterine fibroid Option Grid increased patient engagement in the clinical conversation, improved knowledge of treatment options, and increased satisfaction with care [13, 14].

Implementation of PDAs remains difficult across a range of healthcare settings [15]. System and organizational barriers relate to incentives, competing priorities, and established behavior patterns [16, 17]. Despite evidence that it is possible to implement PDAs, particularly if implementation is supported by clinical champions, organizational strategies, and effective electronic health record (EHR) integration efforts, more work is needed to determine how best to routinely adopt these tools in clinical practice [18, 19].

We aim to use a multi-component implementation strategy guided by the Consolidated Framework for Implementation Research (CFIR) and the Normalization Process Theory (NPT) to develop a tailored strategy for each of the five participating gynecology settings to implement the uterine fibroid Option Grid PDA. We will (1) assess each site’s organizational readiness for patient engagement, (2) use a tailored implementation strategy to incorporate the uterine fibroid Option Grid in clinical care at each site, (3) examine the characteristics associated with success and failure to implement and sustain Option Grid use in practice, and (4) integrate new evidence into existing clinical practice guidelines where feasible. We will also evaluate the impact of the implementation strategies on clinical and other relevant outcomes for women across socioeconomic strata who seek treatment for symptomatic uterine fibroids. We hypothesize that providing study settings with various formats of PDAs to help tailor the implementation strategy to their clinic workflow will lead to sustained use of PDAs.

Methods

Design

We will conduct a randomized stepped-wedge study where randomization of each site to a pre-implementation start date occurs prior to the start of the study (see Fig. 1 for details). The stepped-wedge design with a baseline pre-implementation phase allows for within-site pre/post comparisons. Following the pre-implementation phase, which occurs at a different time point for each site, we will provide a brief initiation session to introduce Option Grid PDAs and how to use them in practice. After initiation, clinicians will be expected to use the intervention in an “active implementation” phase. The SPIRIT checklist (see Additional file 1) guided our protocol development [20].

Fig. 1
figure 1

Stepped-wedge study design and timeline

Theoretical framework

The multi-component implementation strategy is guided by the CFIR and NPT. CFIR is a pragmatic, multilevel framework that guides the evaluation and design of implementation studies [21, 22]. It comprises five domains (intervention characteristics, outer setting, inner setting, characteristics of individuals, and process) and 39 related constructs. These domains interact with one another to influence the effectiveness of the implementation strategy. In the context of our study, CFIR will be used at a macro level to guide implementation by comprehensively addressing four of the five CFIR domains: intervention characteristics, inner setting, characteristics of individuals, and process. Table 1 provides details on the CFIR domains.

Table 1 Intervention characteristics that influence implementation success (according to CFIR)

In addition to CFIR’s multilevel approach, NPT will be used at a micro level to focus on the dynamic process that leads to the successful implementation of an innovation in routine clinical practice. NPT is an explanatory theory that helps evaluators understand the process by which organizations embed interventions into their normal work [23, 24]. NPT has four theoretical tenets: (i) coherence, supports individual and collective consensus about an intervention and its purpose; (ii) collective action, the tasks allocated to the various members within the organization to build and sustain use; (iii) cognitive participation, the relational work that influences “implementation and legitimation”; and (iv) reflexive monitoring, the communal appraisal work that aids assessment of the intervention [25].

Setting

The five study sites are gynecology clinics at (i) Dartmouth-Hitchcock Medical Center in Lebanon, New Hampshire; (ii) Barnes-Jewish Hospital in St. Louis, Missouri; (iii) Montefiore Medical Center in Bronx, New York; (iv) Brigham and Women’s Hospital in Boston, Massachusetts; and (v) Mayo Clinic in Rochester, Minnesota.

Participants

We will include physicians (attending or resident) who consent to participate in our implementation study and provide care to women with symptomatic uterine fibroids during the project duration at participating sites.

We will include patients showing new or recurrent symptoms of uterine fibroids (e.g., heavy menstrual bleeding, pelvic pressure or pain) who are seeking treatment and meet all of the following inclusion criteria: (i) assigned female sex at birth, (ii) at least 18 years of age, (iii) speak English or Spanish, and (iv) have the ability to complete short surveys online independent of assistance. We will not exclude pregnant patients. We will exclude postmenopausal patients because they may have different treatment options than those presented in the Option Grid PDA used in this study.

Intervention

To facilitate deliberation about treatment options, the uterine fibroid Option Grid PDA is organized in a tabular format and is based on patients’ frequently asked questions, which were sourced by analyzing the research literature and by qualitative inquiry with stakeholders including gynecologists and 10 women experiencing symptoms of uterine fibroids.

The uterine fibroid tool is one of over 22 Option Grid decision aids developed and maintained by EBSCO Health. We helped EBSCO adapt the Option Grid for this study by following a multi-step Community Based Participatory Research (CBPR) approach. The tool (as of May 2019) compares seven treatment options (watch and wait, medicine with hormones, medicine without hormones, uterine artery embolization, endometrial ablation, myomectomy, and hysterectomy) and consists of answers to six frequently asked questions: (1) What does it involve? (2) Will I have less bleeding and pain? (3) Will the fibroids go away or get smaller (in size)? (4) Is it safe to get pregnant? (5) What are the side effects? and (6) What are the more serious risks? The uterine fibroid Option Grid is designed to be accessible to patients across socioeconomic and health literacy strata using plain language (readability of 6th grade or less). See Fig. 2 to view the text version of the Option Grid.

Fig. 2
figure 2

The uterine fibroid Option Grid patient decision aid

There will be two versions of the uterine fibroid Option Grid available in this trial: (i) text and (ii) text with pictures (Picture Option Grid). The Picture Option Grid uses the same evidence as the text version while integrating images, thus utilizing pictorial superiority to help patients better understand and remember information [26]. Both the text and Picture Option Grid will be available to clinicians and patients on paper pads and integrated into the EHR, leading to a website where the clinician can select the uterine fibroid Option Grid and choose any number of treatment options specific to the patient to generate the comparison table. The online version also offers the clinician a standard phrase to document the presentation of the Option Grid to patients. It can be copied and pasted into the EHR, and the tool can also be sent via the patient portal or by email to the patient. The content and layout of the online Option Grid will be maintained to match that of the text and Picture Option Grid versions for the duration of the project period. The different versions provide clinicians with options, so they can choose the format that best suits their workflow. Both versions will be available in English and Spanish (see “Translation procedure” section for details).

Option Grid PDAs, in any of the different formats, are designed as catalysts for discussion between patients and clinicians to compare options and come to agreement about the best treatment choice.

Translation procedure

The text and Picture Option Grid used in this study will be translated into Spanish using an adapted version of the Translate, Review, Adjudicate, Pretest, Document (TRAPD) translation procedure [27, 28]. Our translation approach will include four main stages: (i) Two suitably qualified native speakers of the target language create independent translations of the original text; (ii) a bilingual reviewer (who is a native speaker of the target language) compares the original text, translation 1, and translation 2 and either selects the preferred translation or produces a third translation that builds on the previous two; (iii) the bilingual reviewer meets with the project team to review and reconcile translations by consensus; (iv) the resulting translation is tested via cognitive debrief interviews with a small sample of patients fluent in the target language. Cognitive interview participants will each be offered a $10 honorarium.

Outcomes and data collection

Primary outcome measure

The primary outcome measure is the number of eligible patients who receive the uterine fibroid Option Grid (three formats available).

Eligible patients will be identified in advance by the project team at each site through their outpatient scheduling systems. This process will enable us to determine the total number of patients who are eligible to participate in the study (the denominator). To calculate the number of patients who receive an Option Grid (numerator), we will provide each site with a box filled with text and Picture Option Grid paper pads. Pads will be available in every consultation room within each sites’ obstetrics-gynecology clinic. To use a paper-based Option Grid, the clinician will tear it from the pad and a numbered stub will remain where they will write their name and indicate if they are an attending clinician or a resident (see Fig. 3 for a mockup of the paper pad stub). The research assistant at each site will refer to the numbered stubs to document the number of patients who received an Option Grid on a weekly basis. The research assistant will keep a log of the numerator and denominator in an Excel file and will report the data back to the Dartmouth project staff on a weekly basis via the Qualtrics database.

Fig. 3
figure 3

Paper-pad mockup to identify the number of eligible patients receiving the uterine fibroid Option Grid in the clinic

For sites with EHR access to the online uterine fibroid Option Grid, we will derive weblog data from EBSCO Health including the date and time the tool was generated; this data will be incorporated into measurement of the primary outcome.

Secondary outcome measures

In addition to recording each site’s chosen implementation strategy and if/how it changes during the implementation and sustainability phases, we will collect the following secondary outcome measures (as outlined in Table 2):

  • Measuring Organizational Readiness for patient Engagement (MORE). MORE is designed to measure a healthcare organization’s willingness and ability to effectively implement patient engagement in healthcare [29]. The measure contains 25 items that are each scored on a four-point Likert-type scale (1 = avoid/not important; 4 = definitely involve/very important) [29]. Data from the measure will be analyzed to identify barriers and facilitators to implementation at each site and tailor the implementation strategy accordingly.

    Each site PI will be asked to nominate 20–30 MORE recipients within their department. Dartmouth study staff will then email the online survey link to nominees in the 2 months preceding the pre-implementation phase at each site.

  • Attitudes toward Decision Aids fOr PatienTs (ADOPT). ADOPT is a measure of patient attitudes and perceptions toward PDAs. Clinicians are asked to select one or more words that best describe(s) their attitudes to the potential use of PDAs from a pool of 10 words. It can be completed by clinicians who have, or have not, used PDAs.

    ADOPT will be administered to all participating clinicians at three time points: (i) the start of the pre-implementation phase, (ii) the end of the active implementation phase, and (iii) the end of the sustainability phase. The surveys will be distributed via email to participating clinicians using a secure web link.

  • Extent of shared decision making. Observer OPTION-5 is a validated, observational measure. It is a five-item scale, with each item rated from “0” to “4” where “0” represents the absence of a shared decision-making specific competency and “4” represents optimal performance [30].

    A research assistant employed at each site will audio-record five clinical encounters in both the pre- and active implementation phases for each participating clinician that consents to audio-recording. In each phase, we will establish a recruitment day(s) each week where a research assistant will approach as many eligible patients as possible to seek consent to audio-record their visit. This will be repeated each week until five encounter recordings per clinician per phase are obtained (10 per clinician in total). In the active implementation phase, we will begin the audio-recording recruitment process described above 2 months into the phase to allow clinicians time to get comfortable and confident with the intervention prior to recording. We will consult with sites to determine if we will audio-record encounters that take place between residents and patients. We anticipate a patient consent rate of 50 to 60% [31].

  • Fidelity of intervention use. The fidelity assessment checklist enables us to determine if an Option Grid was used, how and when it was delivered to the patient, whether or not the clinician made a treatment recommendation or elicited patient preference, and the identification of the final treatment decision [32]. The checklist will help us understand if clinicians are using the tools as intended following initiation.

    The checklist will be completed independently by two Dartmouth-based project staff while listening to the audio-recorded clinic visits.

  • NoMAD Normalization Process Theory (NPT) survey. A 23-item instrument used for capturing the perspective of professionals who will be involved in implementing and using Option Grid in practice [33]. The instrument contains four sections that ask questions on the various facets of implementing and using the intervention such as the effect that it has on workflow, the work and resources needed to drive implementation, and critical appraisal of the Option Grid.

    A convenience sample of 10 stakeholders at various levels of the service delivery team (i.e., clinicians, medical assistants, nurses, coordinators, managerial and reception staff) from each site will have the opportunity to complete the NoMAD survey at two time points: (i) at the end of the pre-implementation phase and (ii) at the end of the sustainability phase. Participants will be asked to provide their name each time they complete the survey. Stakeholders can complete the survey during a site visit, or they will have the opportunity to complete it online after the project team at Dartmouth sends a secure WebLink via email.

  • Utility of Option Grid PDAs and clinician approach to implementation. Semi-structured interviews, guided by NPT, will be conducted with clinicians to assess the utility of the Option Grid tools and how they implemented the intervention in practice.

    A member of the project team at Dartmouth will conduct semi-structured interviews in-person or via phone with a convenience sample of clinicians at each of the five clinical sites to determine the utility of the uterine fibroid Option Grid PDA and the barriers and facilitators to its integration in the clinic workflow at two time points: (i) at the end of the active implementation phase and (ii) at the end of the sustainability phase.

Table 2 Implementation sustainability outcome measures for patient outcomes

Throughout the pre- and active implementation phases, eligible patients at each site will be invited by clinic staff to take a survey on a tablet computer following their clinical encounter (see Additional file 2 to view the patient survey). Clinic staff may provide the patient with the tablet computer or refer them to a kiosk located in the clinic that will contain the tablet. At the start of the survey, patients will be given the opportunity to view the study information and provide consent to participate in the study. The survey will collect the following patient-reported outcomes, in addition to the patient’s email address which will be used to send patients a WebLink to the follow-up survey 3 months after their first survey is completed. The follow-up survey can be completed on a personal computer or mobile device. We anticipate that approximately 30% of eligible patients will complete the post-encounter survey. The following is a list of patient-reported outcomes that we will be assessing:

  • collaboRATE. collaboRATE is a three-item, patient-reported experience measure of how patients perceive the effort that clinicians make to achieve three core aspects of shared decision making: informing patients, eliciting preferences, and integrating preferences into decisions made [27, 34]. Patients answer each question on a scale of 0 to 9. The measure is scored by using the percentage of patients who give the highest possible score of 9 for each item (top score) [27, 34].

  • Uterine Fibroid Symptom and Health-Related Quality of Life Questionnaire (UFS-QOL) symptom severity subscale. We will ask patients to complete only the symptom severity subscale portion of the 37-item UFS-QOL questionnaire. The eight-item subscale asks patients how distressed their symptoms have made them feel over the past 3 months [35]. Each item is scored on a Likert-type scale from “1” (none of the time) to “5” (all of the time) [35].

  • The Comprehensive Score for financial Toxicity (COST). COST is a patient-reported outcome measure to assess financial toxicity in patients with cancer [36, 37]. The measure contains 11 items. Study stakeholders, including patient partners, felt that the majority of the items were not applicable for this study and wanted to minimize respondents’ burden; therefore, we opted to only use one item. The question reads: “I worry about the financial problems I will have in the future as a result of my illness or treatment”, and the response scale is from “0” (not at all) to “4” (very much).

  • Chew Health Literacy Measure. Three-item validated measure of health literacy. The items are the following: How confident are you filling out medical forms by yourself? How often do you have someone (like a family member, friend, hospital/clinic worker, or caregiver) help you read hospital materials? How often do you have problems learning about your medical condition because of difficulty understanding written information? Patients who circle “extremely” or “quite a bit” on the Likert-type scale are considered to have high health literacy [38].

  • Resource utilization (ambulatory and hospital). The follow-up survey will query eligible patients to self-report the number of outpatients (or visit to primary care clinician), inpatient, or emergency visits during the 3-month follow-up period.

  • Treatment choice. Patients will identify their intended treatment choice in the post-encounter survey. We will also ask patients in the 3-month follow-up survey whether they have seen another clinician about another treatment, whether an Option Grid tool was used in that encounter, and to identify the final treatment option they selected, or will select if they proceed with scheduling the treatment intervention.

  • Patient demographics. We will collect the patient’s email address, health insurance status, age, race, gender, and spoken language via the survey they complete on the tablet computer post-encounter.

Procedure

The implementation procedure was guided by CFIR’s inner setting and its related constructs (see Additional file 3 for details).

Clinician consent

Dartmouth project staff met with clinicians at each site in January and February 2019 to introduce the project. Co-investigators and stakeholder partners at each site will help identify clinicians who are eligible to participate in the study prior to the start of their pre-implementation phase and ahead of their second site visit. Prior to the second site visit, the principal investigators at each site will receive an information sheet describing the aims and methodology of the study via email. They will disseminate the information sheets to eligible clinicians. Eligible clinicians who wish to participate can provide their written consent in-person during the project staff’s second site visit, email their consent forms to the project staff at their earliest convenience, or return them to project staff at each site. Clinicians can opt-in on the consent form to have a sample of 10 of their clinical encounters audio-recorded over the course of project. We will determine before the site visits if residents are eligible to have a sample of their encounters audio-recorded. Clinicians who opt to participate will be sent a secure web link to a survey via email, so they can provide their age, gender, and years of experience post-fellowship (or year(s) of residency).

Randomization

The five participating sites were randomized by the project staff’s statistician, who was blinded to the identity of the sites, using R statistical software.

Pre-implementation phase

Prior to the start of the pre-implementation phase, stakeholders will complete the MORE survey. At the start of the pre-implementation phase, participating clinicians at each site will complete the ADOPT survey to indicate their attitude toward PDAs. We will audio-record five clinical encounters for each consenting participating clinician, and at the end of the study phase, we will conduct interviews with a convenience sample of clinicians and staff at each site to inform their completion of the NoMAD survey (see data collection section for details).

The Option Grid will not be used during the pre-implementation phase; however, patients will still complete the survey (see patient outcomes section for details) following their clinical encounters to provide baseline data for each site.

Initiation on how to practice shared decision making using the Option Grid tools

The study interventions will be carefully described to participating clinicians at each site during an initiation session that will take place within a 2-month phase between the pre- and active implementation periods. The principal investigators (GE and M-AD) will introduce the concept of shared decision making and Option Grid PDAs to stakeholders at each site using webinars, video-conferences, and face-to-face coaching based on the “three talk model of shared decision making” [39, 40]. The format of the initiation will be adapted for each site, based on MORE survey results. Each site will determine which Option Grid PDA formats to implement (text, picture, and online versions). During the initiation phase, the Dartmouth project team will also provide each site with its clinic-level collaboRATE top score percentage from the pre-implementation phase as insight into baseline patient-rated shared decision-making performance.

Active implementation phase

During each site’s active implementation phase, the uterine fibroid Option Grid PDA will be incorporated into the routine clinic workflow according to a tailored implementation strategy, as described in the “intervention” section above. Each site will keep a weekly record of the number of eligible patients who received the Option Grid (primary outcome).

As in the pre-implementation phase, patients will be asked to complete a survey (1) immediately following the clinical encounter and (2) 3 months after the clinical encounter.

Two months into the active implementation phase, research assistants at each site will begin audio-recording clinical encounters until each participating clinician (who consents to audio-recording) has had five of their encounters recorded. The audio-recordings will be sent to the project team at Dartmouth using a secure and HIPAA-compliant platform (Dartmouth Sharepoint). Two independent raters will assess (using the Observer Option-5 measure and fidelity checklist) the extent to which clinicians involve patients in the decision-making process using Option Grid tools. At the end of the active implementation phase, clinicians will complete the ADOPT survey, and we will conduct semi-structured interviews, guided by CFIR and NPT, with a convenience sample of participating clinicians to determine the tools’ utility, and the barriers and facilitators of their use in practice.

Sustainability phase

Prior to the sustainability phase, we will provide text and Picture Option Grid PDAs to each site. Project staff will limit communication with clinical sites throughout this phase to prevent unintended influence on continued PDA use. At the end of the sustainability phase, we will measure the number of eligible patients who receive the uterine fibroid Option Grid and clinician attitudes. We will also inquire about if and how study teams plan to use the text or Picture Option Grids after our study has ended, and we will assess the utility of the intervention from varied stakeholder perspectives at each site.

With the goal of offering guideline developers expertise on how to integrate shared decision-making processes into their documentation, we will contact organizations responsible for clinical practice guidelines regarding management of uterine fibroids. We will share the Option Grid and the evidence summaries created for the development of the existing tools, as well as indicating the new PCORI-generated evidence that we have considered in developing the PDA [41]. These steps will take place over the duration of the implementation study.

Statistical analysis

Power calculation

The primary analysis has an expected sample size of 2600 patients across 30 to 40 clinicians (an estimated 87 patients per clinician [n = 30]) at each of the five sites. Because the intervention varies within clinician and our statistical models include clinician random and site-fixed effects, the relevant clustering variable is clinician-project week. With 40 project weeks and at least 30 clinicians, clustering is likely to have minimal impact on the results. Therefore, for a binary dependent variable (e.g., whether the uterine fibroid Option Grid is used or whether the patient gives a top collaboRATE score) with a baseline proportion of 0.5, a symmetric two-sided 95% confidence interval of width of at least 0.048 will have an 80% coverage probability of containing the true effect of the intervention, i.e., attaining a confidence margin of 0.048. In the context of shared decision making, such a margin is small and below typical levels of precision obtained from randomized studies.

Data analysis

Patient-level data will be clustered by site and clinician. Patients will be assigned to a single phase based on the date of their first encounter with a clinician at the site during the project period. Instances in which a patient has a repeated visit in the pre- and active implementation periods will be recorded to enable sensitivity analyses accounting for repeated observations.

Regression analyses will compare quantitative outcome measures (including survey scores and Option Grid use) between the pre- and active implementation phases while adjusting for patient and clinician characteristics. The extent to which clinicians involve patients in decision-making for each recorded encounter will be assessed by analyzing the Observer OPTION-5 and Option Grid fidelity checklist data from each phase of the study. We will conduct a framework analysis, guided by NPT, of the clinician interview transcripts to determine the barriers and facilitators of Option Grid implementation. Completion of the NoMAD Normalization Process Theory survey, based on interviews with site stakeholders, will enable us to make across-site assessments of implementation sustainability.

Data management and storage

All patient and clinician survey data will be stored in the Dartmouth Qualtrics database, a HIPAA-compliant web-based data management system. We will assign a unique study identification number to patient and clinician participants. All audio-recordings of clinical encounters and semi-structured interviews will be loaded by site-based project staff into Dartmouth’s HIPAA-compliant SharePoint system. Each recording will be labeled with a unique identification number. For statistical analysis, data will be downloaded from Qualtrics and stored on an encrypted hard drive owned by Dartmouth College. Stata software will be used for statistical analysis.

Discussion

Our study maps the various routes to implementing PDAs in clinic workflow by studying timing and mode of delivery, available formats (online, text, and picture), and tailored implementation strategies determined by each organization’s readiness for patient engagement. This study also explores ways to overcome the barriers and facilitators to implementation from various stakeholder perspectives, guided by CFIR and NPT. Further, we will assess the impact of the implementation strategy on clinical and other relevant outcomes for women across socioeconomic strata. Our study aims to improve healthcare delivery for women with symptomatic uterine fibroids by empowering them, through the use of a PDA, to be more active in the decision-making process.

We anticipate that healthcare organizations who wish to use PDAs will use our findings to inform their implementation strategy. This work will help stakeholders identify how and when to best deliver these tools to patients. This study can help identify barriers to implementation of PDAs, enabling providers to proactively address such barriers. Reflecting on their workflow will enable site staff to understand how to potentially change their system to better identify eligible patients and deliver the tool in a minimally disruptive fashion. Findings can encourage clinicians in gynecology departments to use PDAs with their patients given the positive effects of these tools on communication and outcomes.

The use of two validated frameworks to guide each site’s implementation strategy is a strength of our study [21,22,23,24]. In addition, we are assessing implementation from various stakeholder perspectives using both qualitative (interviews) and quantitative (survey) methods. We are providing each site with flexibility, so they can determine how best to implement Option Grid based on their clinic workflow patterns and organizational readiness for this type of approach. A potential limitation is that the outer setting domain of the CFIR framework is not addressed as extensively as the other domains (see Table 1). However, the integration of new evidence into existing clinical practice guidelines (component 4 of our strategy) addresses, to an extent, the external policy and incentives construct embedded in the CFIR outer setting domain. A further challenge will be determining the best method to ensure that all eligible patients receive the uterine fibroid Option Grid. However, we are collaborating with principal investigators, who are all practicing clinicians, at each site to overcome this challenge.

We will take an active approach to disseminating study findings by engaging key stakeholders—patients, caregivers, community members, health professionals, and policy makers—in identifying the message and the means of communication to appropriate audiences [42]. Potential dissemination strategies may include the use of social media, lay press, and academic.

Availability of data and materials

Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.

Abbreviations

CBPR:

Community-based participatory research

CFIR:

Consolidated Framework for Implementation Research

COST:

The Comprehensive Score for financial Toxicity

NPT:

Normalization Process Theory

PDAs:

Patient decision aids

UFS-QOL:

Uterine Fibroid Symptom and Health-Related Quality of Life Questionnaire

References

  1. Baird DD, Dunson DB, Hill MC, Cousins D, Schectman JM. High cumulative incidence of uterine leiomyoma in black and white women: ultrasound evidence. Am J Obstet Gynecol. 2003;188:100–7.

    Article  Google Scholar 

  2. Laughlin-Tommaso SK, Jacoby VL, Myers ER. Disparities in fibroid incidence, prognosis, and management. Obstet Gynecol Clin N Am. 2017;44:81–94.

    Article  Google Scholar 

  3. Williams VS, Jones G, Mauskopf J, Spalding J, Duchane J. Uterine fibroids: a review of health-related quality of life assessment. J Women’s Health. 2006;15:818–29.

    Article  Google Scholar 

  4. Kuppermann M, Learman LA, Schembri M, Gregorich S, Jacoby A, Jackson RA, Gates E, Wassel-Fyr C, Lewis J, Washington AE. Effect of noncancerous pelvic problems on health-related quality of life and sexual functioning. Obstet Gynecol. 2007;110:633–42.

    Article  Google Scholar 

  5. Eltoukhi HM, Modi MN, Weston M, Armstrong AY, Stewart EA. The health disparities of uterine fibroid tumors for African American women: a public health issue. Am J Obstet Gynecol. 2014;210:194–9.

    Article  Google Scholar 

  6. Myers ER, Barber MD, Gustilo-Ashby T, Couchman G, Matchar DB, McCrory DC. Management of uterine leiomyomata: what do we really know? Obstet Gynecol. 2002;100:8–17.

    PubMed  Google Scholar 

  7. Viswanathan M, Hartmann K, McKoy N, Stuart G, Rankins N, Thieda P, Lux LJ, Lohr KN. Management of uterine fibroids: an update of the evidence. Evid Rep Technol Assess (Full Rep). 2007;154:1–22.

    Google Scholar 

  8. Scalia P, Durand MA, Berkowitz JL, Ramesh NP, Faber MJ, Kremer JA, Elwyn G. The impact and utility of encounter patient decision aids: systematic review, meta-analysis and narrative synthesis. Patient Educ Couns. 2019;102:817–41.

    Article  Google Scholar 

  9. Dobler CC, Sanchez M, Gionfriddo MR, Alvarez-Villalobos NA, Ospina NS, Spencer-Bonilla G, Thorsteinsdottir B, Benkhadra R, Erwin PJ, West CP, Brito JP, Murad MH, Montori VM. Impact of decision aids used during clinical encounters on clinician outcomes and consultation length: a systematic review. BMJ Qual Saf. 2018. https://0-doi-org.brum.beds.ac.uk/10.1136/bmjqs-2018-008022.

    Article  Google Scholar 

  10. Elwyn G, Lloyd A, Joseph-Williams N, Cording E, Thomson R, Durand MA, Edwards A. Option grids: shared decision making made easier. Patient Educ Couns. 2013;90:207–12.

    Article  Google Scholar 

  11. Elwyn G, Pickles T, Edwards A, Kinsey K, Brain K, Newcombe RG, Firth J, Marrin K, Nye A, Wood F. Supporting shared decision making using an Option Grid for osteoarthritis of the knee in an interface musculoskeletal clinic: a stepped wedge trial. Patient Educ Couns. 2016;99:571–7.

    Article  Google Scholar 

  12. Fay M, Grande SW, Donnelly K, Elwyn G. Using Option Grids: steps toward shared decision-making for neonatal circumcision. Patient Educ Couns. 2016;99:236–42.

    Article  Google Scholar 

  13. Aarts JWM, Thompson R, Alam S, Dannenberg M, Elwyn G, Foster TC. Using encounter decision aids to share decisions with women presenting with heavy menstrual bleeding or fibroids. Obstet Gynecol. 2017;129:87S.

    Article  Google Scholar 

  14. Aarts JWM, Thompson R, Foster T, Elwyn G. Training physicians to use an encounter decision aid in routine gynecology: impact on knowledge, attitudes, and intentions. Eur J Pers Cent Healthc. 2019;7:70–4.

    Google Scholar 

  15. Légaré F, Stacey D, Turcotte S, Cossi MJ, Kryworuchko J, Graham ID, Lyddiatt A, Politi MC, Thomson R, Elwyn G, Donner-Banzhoff N. Interventions for improving the adoption of shared decision making by healthcare professionals. Cochrane Database Syst Rev. 2014. https://0-doi-org.brum.beds.ac.uk/10.1002/14651858.CD006732.pub3.

  16. Elwyn G, Scholl I, Tietbohl C, Mann M, Edwards AG, Clay C, Légaré F, van der Weijden T, Lewis CL, Wexler RM, Frosch DL. “Many miles to go … ”: a systematic review of the implementation of patient decision support interventions into routine clinical practice. BMC Med Inform Decis Mak. 2013;13(Suppl 2):S14.

    Article  Google Scholar 

  17. Scholl I, LaRussa A, Hahlweg P, Kobrin S, Elwyn G. Organizational-and system-level characteristics that influence implementation of shared decision-making and strategies to address them—a scoping review. Implement Sci. 2018;13:40.

    Article  Google Scholar 

  18. Hsu C, Liss DT, Westbrook EO, Arterburn D. Incorporating patient decision aids into standard clinical practice in an integrated delivery system. Med Decis Mak. 2013;33:85–97.

    Article  Google Scholar 

  19. Durand MA, Alam S, Grande SW, Elwyn G. ‘Much clearer with pictures’: using community-based participatory research to design and test a Picture Option Grid for underserved patients with breast cancer. BMJ Open. 2016;6:e010008.

    Article  Google Scholar 

  20. Chan AW, Tetzlaff JM, Altman DG, Laupacis A, Gøtzsche PC, Krleža-Jerić K, Hróbjartsson A, Mann H, Dickersin K, Berlin J, Doré C, Parulekar W, Summerskill W, Groves T, Schulz K, Sox H, Rockhold FW, Rennie D, Moher D. SPIRIT 2013 Statement: defining standard protocol items for clinical trials. Ann Intern Med. 2013;158:200–7.

    Article  Google Scholar 

  21. 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;4:50.

    Article  Google Scholar 

  22. Consolidated Framework for Implementation Research. https://cfirguide.org/. Accessed 15 May 2019.

  23. May CR, Finch T, Ballini L, MacFarlane A, Mair F, Murray E, Treweek S, Rapley T. Evaluating complex interventions and health technologies using normalization process theory: development of a simplified approach and web-enabled toolkit. BMC Health Serv Res. 2011;11:245.

    Article  Google Scholar 

  24. May C, Finch T, Mair F, Ballini L, Dowrick C, Eccles M, Gask L, MacFarlane A, Murray E, Rapley T, Rogers A. Understanding the implementation of complex interventions in health care: the normalization process model. BMC Health Serv Res. 2007;7:148.

    Article  Google Scholar 

  25. Lloyd A, Joseph-Williams N, Edwards A, Rix A, Elwyn G. Patchy ‘coherence’: using normalization process theory to evaluate a multi-faceted shared decision making implementation program (MAGIC). Implement Sci. 2013;8:102.

    Article  Google Scholar 

  26. Hockley WE, Bancroft T. Extensions of the picture superiority effect in associative recognition. Can J Exp Psychol. 2011;65:236.

    Article  Google Scholar 

  27. Forcino RC, Bustamante N, Thompson R, Percac-Lima S, Elwyn G, Pérez-Arechaederra D, Barr PJ. Developing and pilot testing a Spanish translation of CollaboRATE for use in the United States. PLoS One. 2016;11:e0168538.

    Article  Google Scholar 

  28. Mohler P, Dorer B, Jde J, Hu M, Harkness J, Mohler PP. Translation: overview. Cross-cultural Survey Guidelines: In; 2016. http://www.ccsg.isr.umich.edu/index.php/chapters/translation-chapter/translation-overview#Team_translation. Accessed 18 Oct 2018

    Google Scholar 

  29. Oostendorp LJ, Durand MA, Lloyd A, Elwyn G. Measuring organisational readiness for patient engagement (MORE): an international online Delphi consensus study. BMC Health Serv Res. 2015;15:61.

    Article  Google Scholar 

  30. Barr PJ, O’Malley AJ, Tsulukidze M, Gionfriddo MR, Montori V, Elwyn G. The psychometric properties of Observer OPTION5, an observer measure of shared decision making. Patient Educ Couns. 2015;98:970–6.

    Article  Google Scholar 

  31. Durand MA, Yen RW, O’Malley AJ, Politi M, Schubbe D, Saunders CH, Dhage S, Rosenkranz K, Weichman K, Tosteson A, Margenthaler J, Crayton E, Jackson S, Bradley A, Mitchell M, Walling L, Marx C, Volk RJ, Sepucha K, Ozanne E, Percac-Lima S, Acosta J, Bergin E, Mir N, Elwyn G. Comparative effectiveness of encounter decision aids for early-stage breast cancer across socioeconomic strata. In: In: 10th International Shared Decision Making Conference. Quebec City; 2019.

  32. Borrelli B. The assessment, monitoring, and enhancement of treatment fidelity in public health clinical trials. J Public Health Dent. 2011;71:S52–63.

    Article  Google Scholar 

  33. Finch TL, Rapley T, Girling M, Mair FS, Murray E, Treweek S, McColl E, Steen IN, May CR. Improving the normalization of complex interventions: measure development based on normalization process theory (NoMAD): study protocol. Implement Sci. 2013;8:43.

    Article  Google Scholar 

  34. Forcino RC, Barr PJ, O'Malley AJ, Arend R, Castaldo MG, Ozanne EM, Percac-Lima S, Stults CD, Tai-Seale M, Thompson R, Elwyn G. Using CollaboRATE, a brief patient-reported measure of shared decision making: results from three clinical settings in the United States. Health Expect. 2018;21:82–9.

    Article  Google Scholar 

  35. Spies JB, Coyne K, Guaou NG, Boyle D, Skyrnarz-Murphy K, Gonzalves SM. The UFS-QOL, a new disease-specific symptom and health-related quality of life questionnaire for leiomyomata. Obstet Gynecol. 2002;99:290–300.

    PubMed  Google Scholar 

  36. De Souza JA, Yap BJ, Hlubocky FJ, Wroblewski K, Ratain MJ, Cella D, Daugherty CK. The development of a financial toxicity patient-reported outcome in cancer: the COST measure. Cancer. 2014;120:3245–53.

    Article  Google Scholar 

  37. de Souza JA, Yap BJ, Wroblewski K, Blinder V, Araújo FS, Hlubocky FJ, Nicholas LH, O'connor JM, Brockstein B, Ratain MJ, Daugherty CK. Measuring financial toxicity as a clinically relevant patient-reported outcome: the validation of the COmprehensive Score for financial Toxicity (COST). Cancer. 2017;123:476–84.

    Article  Google Scholar 

  38. Keene Woods N, Chesser AK. Validation of a single question health literacy screening tool for older adults. Gerontol Geriatr Med. 2017;3:2333721417713095.

    PubMed  PubMed Central  Google Scholar 

  39. Mishra M, Cochran NE, Paradis Montibello R, Kanaoka T, Elwyn G. Using online standardized patients to develop professions: lessons learned. In: In: 15th International Conference on Communication in Healthcare. Baltimore; 2017.

  40. Elwyn G, Durand MA, Song J, Aarts J, Barr PJ, Berger Z, Cochran N, Frosch D, Galasiński D, Gulbrandsen P, Han PK. A three-talk model for shared decision making: multistage consultation process. BMJ. 2017;359:j4891.

    Article  Google Scholar 

  41. Velentgas P. Which treatments for uterine fibroids have the best results? Patient-centered outcomes. Res Inst 2017.

  42. Brownson RC, Jacobs JA, Tabak RG, Hoehner CM, Stamatakis KA. Designing for dissemination among public health researchers: findings from a national survey in the United States. Am J Public Health. 2013;103:1693–9.

    Article  Google Scholar 

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Acknowledgements

We would like to thank the principal investigators, clinicians, IT personnel, and other clinical staff (nurses, administrators, receptionists, etc.) at each site who are actively making the implementation of the uterine fibroid Option Grid possible. We would like to thank Dr. Trudy van der Weijden for being an advisor on our project and providing feedback on the final version of our manuscript. We would also like to express our gratitude to the members of our Community Advisory Board, in particular, our patient advisors who provide feedback to improve the overall quality of the study.

Funding

Research reported in this manuscript is funded through a Patient-Centered Outcomes Research Institute (PCORI) Award (SDM-2017C2-8507). The statements presented in this manuscript are solely the responsibility of the authors and do not necessarily represent the views of the PCORI, its Board of Governors, or Methodology Committee.

Author information

Authors and Affiliations

Authors

Contributions

GE and M-AD planned and designed the study with support from the rest of the Dartmouth study team—DS, RF, PJB, JOM, and PS. RF is the research project coordinator for this study. PS drafted the protocol manuscript, managed the IRB process, and registered the trial with clinicaltrials.gov. PS and DS are working with sites to integrate the operational link to the Option Grid website in the electronic health record. All authors reviewed, edited, and/or approved the final manuscript for submission.

Corresponding author

Correspondence to Glyn Elwyn.

Ethics declarations

Ethics approval and consent to participate

Ethics approval for this study was provided by the Dartmouth Committee for the Protection of Human Subjects on February 1, 2019. Brigham and Women’s Hospital and Montefiore Medical Center provided their authorization agreement to rely on Dartmouth’s approval on May 2, 2019. Ethics approval was provided by Barnes-Jewish Hospital Institutional Review Board on May 10, 2019. The Mayo Clinic provided ethics approval on May 7, 2019.

Consent for publication

Not applicable.

Competing interests

Past: Glyn Elwyn has edited and published books that provide royalties on sales by the publisher: the books include Shared Decision Making (Oxford University Press) and Groups (Radcliffe Press).

He has in the past provided consultancy for organizations, including (1) Emmi Solutions LLC who developed patient decision support tools, (2) National Quality Forum on the certification of decision support tools, (3) Washington State Health Department on the certification of decision support tools, and (4) SciMentum LLC, Amsterdam (workshops for shared decision making).

Current: Founder and Director of &think LLC which owns the registered trademark for Option Grids™ patient decision aids. Founder and Director of SHARPNETWORK LLC, a provider of training for shared decision making. He provides consultancy in the domain of shared decision making and patient decision aids to (1) Access Community Health Network, Chicago (Federally Qualified Medical Centers) and (2) EBSCO Health Option Grids™ patient decision aids.

Non-financial: Glyn Elwyn’s academic interests are focused on shared decision making and co-production. He owns copyright in measures of shared decision making and care integration, namely collaboRATE, integRATE, Observer OPTION-5, and Observer OPTION-12. These measures are freely available for use by researchers.

Dr. Marie-Anne Durand is a consultant to Access Community Health Network. Together with Professor Elwyn, she has developed the Option Grid™ patient decision aids, which are licensed to EBSCO Health. She receives consulting income from EBSCO Health and may receive royalties in the future.

Dr. Johanna WM Aarts is an advisor of EBSCO Health Option Grid patient decision aids. This position does not include financial compensation.

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Additional files

Additional file 1:

The SPIRIT checklist reporting guidelines. (DOCX 21 kb)

Additional file 2:

The survey to be completed by eligible patients post-clinical encounter. (DOCX 22 kb)

Additional file 3:

CFIR’s inner setting and its related constructs which guided our implementation procedure. (DOCX 14 kb)

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Scalia, P., Durand, MA., Forcino, R.C. et al. Implementation of the uterine fibroids Option Grid patient decision aids across five organizational settings: a randomized stepped-wedge study protocol. Implementation Sci 14, 88 (2019). https://0-doi-org.brum.beds.ac.uk/10.1186/s13012-019-0933-z

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