Harmonizing evidence-based practice, implementation context, and implementation strategies with user-centered design: a case example in young adult cancer care.
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ABSTRACT: Background
Attempting to implement evidence-based practices in contexts for which they are not well suited may compromise their fidelity and effectiveness or burden users (e.g., patients, providers, healthcare organizations) with elaborate strategies intended to force implementation. To improve the fit between evidence-based practices and contexts, implementation science experts have called for methods for adapting evidence-based practices and contexts and tailoring implementation strategies; yet, methods for considering the dynamic interplay among evidence-based practices, contexts, and implementation strategies remain lacking. We argue that harmonizing the three can be facilitated by user-centered design, an iterative and highly stakeholder-engaged set of principles and methods.Methods
This paper presents a case example in which we used a three-phase user-centered design process to design and plan to implement a care coordination intervention for young adults with cancer. Specifically, we used usability testing to redesign and augment an existing patient-reported outcome measure that served as the basis for our intervention to optimize its usability and usefulness, ethnographic contextual inquiry to prepare the context (i.e., a comprehensive cancer center) to promote receptivity to implementation, and iterative prototyping workshops with a multidisciplinary design team to design the care coordination intervention and anticipate implementation strategies needed to enhance contextual fit.Results
Our user-centered design process resulted in the Young Adult Needs Assessment and Service Bridge (NA-SB), including a patient-reported outcome measure and a collection of referral pathways that are triggered by the needs young adults report, as well as implementation guidance. By ensuring NA-SB directly responded to features of users and context, we designed NA-SB for implementation, potentially minimizing the strategies needed to address misalignment that may have otherwise existed. Furthermore, we designed NA-SB for scale-up; by engaging users from other cancer programs across the country to identify points of contextual variation which would require flexibility in delivery, we created a tool intended to accommodate diverse contexts.Conclusions
User-centered design can help maximize usability and usefulness when designing evidence-based practices, preparing contexts, and informing implementation strategies-in effect, harmonizing evidence-based practices, contexts, and implementation strategies to promote implementation and effectiveness.
SUBMITTER: Haines ER
PROVIDER: S-EPMC8077816 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Despite pervasive findings pointing to its inextricable role in intervention implementation, context remains poorly understood in implementation science. Existing approaches for describing context (e.g., surveys, interviews) may be narrow in scope or superficial in their elicitation of contextual data. Thus, in-depth and multilevel approaches are needed to meaningfully describe the contexts into which interventions will be implemented. Moreover, many studies assess context without subsequently using contextual information to enhance implementation. To be useful for improving implementation, though, methods are needed to apply contextual information during implementation. In the case example presented in this paper, we embedded an ethnographic assessment of context within a user-centered design approach to describe implementation context and apply that information to promote implementation. We developed a patient-reported outcome measure-based clinical intervention to assess and address the pervasive unmet needs of young adults with cancer: the Needs Assessment & Service Bridge (NA-SB). In this paper, we describe the user-centered design process that we used to anticipate context modifications needed to deliver NA-SB and implementation strategies needed to facilitate its implementation. Our ethnographic contextual inquiry yielded a rich understanding of local implementation context and contextual variation across potential scale-up contexts. Other methods from user-centered design (i.e., translation tables and a design team prototyping workshop) allowed us to translate that information into specifications for NA-SB delivery and a plan for implementation. Embedding ethnographic methods within a user-centered design approach can help us to tailor interventions and implementation strategies to their contexts of use to promote implementation.
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Project description:BackgroundThis article provides a generalizable method, rooted in co-design and stakeholder engagement, to identify, specify, and prioritize implementation strategies. To illustrate this method, we present a case example focused on identifying strategies to promote pediatric hypertension (pHTN) Clinical Practice Guideline (CPG) implementation in community health center-based primary care practices that involved meaningful engagement of pediatric clinicians, clinic staff, and patients/caregivers. This example was chosen based on the difficulty clinicians and organizations experience in implementing the pHTN CPG, as evidenced by low rates of guideline-adherent pHTN diagnosis and treatment.MethodsWe convened a Stakeholder Advisory Panel (SAP), comprising 6 pediatricians and 5 academic partners, for 8 meetings (~12 h total) to rigorously identify determinants of pHTN CPG adherence and to ultimately develop a testable multilevel, multicomponent implementation strategy. Our approach expanded upon the Expert Recommendations for Implementation Change (ERIC) protocol by incorporating a modified Delphi approach, user-centered design methods, and the Implementation Research Logic Model (IRLM). At the recommendation of our SAP, we gathered further input from youth with or at-risk for pHTN and their caregivers, as well as clinic staff who would be responsible for carrying out facets of the implementation strategy.ResultsFirst, the SAP identified 17 determinants, and 18 discrete strategies were prioritized for inclusion. The strategies primarily targeted determinants in the domains of intervention characteristics, inner setting, and characteristics of the implementers. Based on SAP ratings of strategy effectiveness, feasibility, and priority, three tiers of strategies emerged, with 7 strategies comprising the top tier implementation strategy package. Next, input from caregivers and clinic staff confirmed the feasibility and acceptability of the implementation strategies and provided further detail in the definition and specification of those strategies.ConclusionsThis method-an adaptation of the ERIC protocol-provided a pragmatic structure to work with stakeholders to efficiently identify implementation strategies, particularly when supplemented with user-centered design activities and the intuitive organizing framework of the IRLM. This generalizable method can help researchers identify and prioritize strategies that align with the implementation context with an increased likelihood of adoption and sustained use.
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Project description:The patient-centered medical home (PCMH) model of primary care is being implemented in a wide variety of socioeconomic contexts, yet there has been little research on whether its effects differ by context. Clinical preventive service use, including cancer screening, is an important outcome to assess the effectiveness of the PCMH within and across socioeconomic contexts.To determine whether the relationship between the PCMH and cancer screening is conditional on the socioeconomic context in which a primary care physician practice operates.A longitudinal study spanning July 1, 2009, through June 30, 2012, using data from the Blue Cross Blue Shield of Michigan Physician Group Incentive Program was conducted. Michigan nonpediatric primary care physician practices that participated in the Physician Group Incentive Program (5452 practice-years) were included. Sample size and outlier exclusion criteria were applied to each outcome. We examined the interaction between practices' PCMH implementation scores and their socioeconomic context. The implementation of a PCMH was self-reported by the practice's affiliated physician organizations and was measured as a continuous score ranging from 0 to 1. Socioeconomic context was calculated using a market-based approach based on zip code characteristics of the practice's patients and by combining multiple measures using principal components analysis.Breast, cervical, and colorectal cancer screening rates for practices' Blue Cross Blue Shield of Michigan patients.The implementation of a PCMH was associated with higher breast, cervical, and colorectal cancer screening rates across most market socioeconomic contexts. In multivariable models, the PCMH was associated with a higher rate of screening for breast cancer (5.4%; 95% CI, 1.5% to 9.3%), cervical cancer (4.2%; 95% CI, 1.4% to 6.9%), and colorectal cancer (7.0%; 95% CI, 3.6% to 10.5%) in the lowest socioeconomic group but nonsignificant differences in screening for breast cancer (2.6%; 95% CI, -0.1% to 5.3%) and cervical cancer (-0.5%; 95% CI, -2.7% to 1.7%) and a higher rate of colorectal cancer (4.5%; 95% CI, 1.8% to 7.3%) screening in the highest socioeconomic group. Because PCMH implementation was associated with larger increases in screening in lower socioeconomic practice settings, models suggest reduced disparities in screening rates across these contexts. For example, the model-predicted disparity in breast cancer screening rates between the highest and lowest socioeconomic contexts was 6% (77.9% vs 72.2%) among practices with no PCMH implementation and 3% (80.3% vs. 77.0%) among practices with full PCMH implementation.In our study, the PCMH model was associated with improved cancer screening rates across contexts but may be especially relevant for practices in lower socioeconomic areas.
| S-EPMC4860609 | biostudies-literature
Project description:BackgroundPractice facilitation is an implementation strategy used to build practice capacity and support practice changes to improve health care outcomes. Yet, few studies have investigated how practice facilitation strategies are tailored to different primary care contexts.ObjectiveTo identify contextual factors that drive facilitators' strategies to meet practice improvement goals, and how these strategies are tailored to practice context.DesignSemi-structured, qualitative interviews analyzed using inductive (open coding) and deductive (thematic) approaches. This study was conducted as part of a larger study, HealthyHearts New York City, which evaluated the impact of practice facilitation on adoption of cardiovascular disease prevention and treatment guidelines.Participants15 facilitators working in two practice contexts: small independent practices (SIPs) and Federally Qualified Health Centers (FQHCs).Main measuresStrategies facilitators use to support and promote practice changes and contextual factors that impact this approach.Key resultsContextual factors were described similarly across settings and included the policy environment, patient needs, site characteristics, leadership engagement, and competing priorities. We identified four facilitation strategies used to tailor to contextual factors and support practice change: (a) remain flexible to align with practice and organizational priorities; (b) build relationships; (c) provide value through information technology expertise; and (d) build capacity and create efficiencies. Facilitators in SIPs and FQHCs described using the same strategies, often in combination, but tailored to their specific contexts.ConclusionsDespite significant infrastructure and resource differences between SIPs and FQHCs, the contextual factors that influenced the facilitator's change process and the strategies used to address those factors were remarkably similar. The findings emphasize that facilitators require multidisciplinary skills to support sustainable practice improvement in the context of varying complex health care delivery settings.
| S-EPMC7080927 | biostudies-literature
Project description:BackgroundInnovative approaches are needed to maximize fit between the characteristics of evidence-based practices (EBPs), implementation strategies that support EBP use, and contexts in which EBPs are implemented. Standard approaches to implementation offer few ways to address such issues of fit. We characterized the potential for collaboration with experts from a relevant complementary approach, user-centered design (UCD), to increase successful implementation.MethodUsing purposive and snowball sampling, we recruited 56 experts in implementation (n = 34) or UCD (n = 22). Participants had 5+ years of professional experience (M = 10.31), worked across many settings (e.g., healthcare, education, human services), and were mostly female (59%) and white (73%). Each participant completed a web-based concept mapping structured conceptualization task. They sorted strategies from established compilations for implementation (36 strategies) and UCD (30 strategies) into distinct clusters, then rated the importance and feasibility of each strategy.ResultsWe used multidimensional scaling techniques to examine patterns in the sorting of strategies. Based on conceptual clarity and fit with established implementation frameworks, we selected a final set of 10 clusters (i.e., groups of strategies), with five implementation-only clusters, two UCD-only clusters, and three trans-discipline clusters. The highest-priority activities (i.e., above-average importance and feasibility) were the trans-discipline clusters plus facilitate change and monitor change. Implementation and UCD experts sorted strategies into similar clusters, but each gave higher importance and feasibility ratings to strategies/clusters from their own discipline.ConclusionsIn this concept mapping study, experts in implementation and UCD had perspectives that both converged (e.g., trans-discipline clusters, which were all rated as high-priority) and diverged (e.g., in importance/feasibility ratings). The results provide a shared understanding of the alignment between implementation science and UCD, which can increase the impact and sustainability of EBP implementation efforts. Implications for improved collaboration among implementation and UCD experts are discussed.
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Project description:BackgroundEcological momentary assessment (EMA) can be a useful tool for collecting real-time behavioral data in studies of health and health behavior. However, EMA administered through mobile technology can be burdensome, and it tends to suffer from suboptimal user engagement, particularly in low health-literacy populations.ObjectiveThis study aimed to report a case study involving the design and evaluation of a mobile EMA tool that supports context-sensitive EMA-reporting of location and social situations accompanying eating and sedentary behavior.MethodsAn iterative, user-centered design process with obese, middle-aged women seeking care in a safety-net health system was used to identify the preferred format of self-report measures and the look, feel, and interaction of the mobile EMA tool. A single-arm feasibility field trial with 21 participants receiving 12 prompts each day for momentary self-reports over a 4-week period (336 total prompts per participant) was used to determine user satisfaction with interface quality and user engagement, operationalized as response rate. A second trial among 38 different participants randomized to receive or not to receive a feature designed to improve engagement was conducted.ResultsThe feasibility trial results showed high interface satisfaction and engagement, with an average response rate of 50% over 4 weeks. Qualitative feedback pointed to the need for auditory alerts. We settled on 3 alerts at 10-min intervals to accompany each EMA-reporting prompt. The second trial testing this feature showed a statistically significant increase in the response rate between participants randomized to receive repeat auditory alerts versus those who were not (60% vs 40%).ConclusionsThis paper reviews the design research and a set of design constraints that may be considered in the creation of mobile EMA interfaces personalized to users' preferences. Novel aspects of the study include the involvement of low health-literacy adults in design research, the capture of data on time, place, and social context of eating and sedentary behavior, and reporting prompts tailored to an individual's location and schedule.Trial registrationClinicalTrials.gov NCT03083964; https://clinicaltrials.gov/ct2/show/NCT03083964.
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Project description:Changes in the abundance of individual proteins in the proteome can be elicited by modulation of protein synthesis (the rate of input of newly synthesized proteins into the protein pool) or degradation (the rate of removal of protein molecules from the pool). A full understanding of proteome changes therefore requires a definition of the roles of these two processes in proteostasis, collectively known as protein turnover. Because protein turnover occurs even in the absence of overt changes in pool abundance, turnover measurements necessitate monitoring the flux of stable isotope-labeled precursors through the protein pool such as labeled amino acids or metabolic precursors such as ammonium chloride or heavy water. In cells in culture, the ability to manipulate precursor pools by rapid medium changes is simple, but for more complex systems such as intact animals, the approach becomes more convoluted. Individual methods bring specific complications, and the suitability of different methods has not been comprehensively explored. In this study, we compare the turnover rates of proteins across four mouse tissues, obtained from the same inbred mouse strain maintained under identical husbandry conditions, measured using either [13C6]lysine or [2H2]O as the labeling precursor. We show that for long-lived proteins, the two approaches yield essentially identical measures of the first-order rate constant for degradation. For short-lived proteins, there is a need to compensate for the slower equilibration of lysine through the precursor pools. We evaluate different approaches to provide that compensation. We conclude that both labels are suitable, but careful determination of precursor enrichment kinetics in amino acid labeling is critical and has a considerable influence on the numerical values of the derived protein turnover rates.
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Project description:BackgroundContingency management (CM) is one of the only behavioral interventions shown to be effective for the treatment of opioid use disorders when delivered alone and in combination with pharmacotherapy. Despite extensive empirical support, uptake of CM in community settings remains abysmally low. The current study applied user-centered design principles to gather qualitative data on familiarity with CM, current clinical practice, and preferences regarding the implementation of CM in community-based opioid treatment programs.MethodsParticipants were 21 leaders and 22 front-line counselors from 11 community-based opioid treatment programs. Semi-structured interviews were about 45 min long. Transcripts from each interview were coded by independent raters and analyzed using a reflexive team approach. Frequencies of responses were tallied, and queries were run in NVivo to identify exemplar quotes for each code.ResultsResults indicated low familiarity with CM, with less than half of the respondents defining CM correctly and over 40% of respondents declining to answer/ did not know. Abstinence was the most commonly recommended CM target, yet over 70% of respondents indicated that urine screens only occurred monthly. Attendance was also a popular recommendation, with respondents suggesting a range of possible indices including counseling, dosing, and/or case management sessions. Regarding the ideal role to administer CM prizes, program directors and supervisors were most commonly recommended, closely followed by front-line counselors. The most commonly suggested strategies to afford CM incentives included soliciting community donations and offering non-financial incentives.ConclusionsUser design principles to understand workflow constraints, target user needs, and simplify the intervention guided this qualitative investigation of CM implementation in opioid treatment programs. Findings highlighted the potential value of flexible, organization-specific definitions of CM attendance and non-financial incentives, as well as active involvement of clinical leaders and supervisors to promote buy in among staff/patients. Respondents were generally optimistic about their ability to fundraise or solicit donations to overcome cost-related barriers of CM. Implications for CM implementation strategies, including the use of targeted leadership coaching focused on sustainability, are explored.
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Project description:BACKGROUND:Overtreatment and overtesting expose patients to unnecessary, wasteful, and potentially harmful care. Reducing overtreatment or overtesting that has become ingrained in current clinical practices and is being delivered on a routine basis will require solutions that incorporate a deep understanding of multiple perspectives, particularly those on the front lines of clinical care: patients and their clinicians. Design approaches are a promising and innovative way to incorporate stakeholder needs, desires, and challenges to develop solutions to complex problems. OBJECTIVE:This study aimed (1) to engage patients in a design process to develop high-level deintensification strategies for primary care (ie, strategies for scaling back or stopping routine medical services that more recent evidence reveals are not beneficial) and (2) to engage both patients and primary care providers in further co-design to develop and refine the broad deintensification strategies identified in phase 1. METHODS:We engaged stakeholders in design charrettes-intensive workshops in which key stakeholders are brought together to develop creative solutions to a specific problem-focused on deintensification of routine overuse in primary care. We conducted the study in 2 phases: a 6.5-hour design charrette with 2 different groups of patients (phase 1) and a subsequent 4-hour charrette with clinicians and a subgroup of phase 1 patients (phase 2). Both phases included surveys and educational presentations related to deintensification. Phase 1 involved several design activities (mind mapping, business origami, and empathy mapping) to help patients gain a deeper understanding of the individuals involved in deintensification. Following that, we asked participants to review hypothetical scenarios where patients, clinicians, or the broader health system context posed a barrier to deintensification and then to brainstorm solutions. The deintensification themes identified in phase 1 were used to guide phase 2. This second phase primarily involved 1 design activity (WhoDo). In this activity, patients and clinicians worked together to develop concrete actions that specific stakeholders could take to support deintensification efforts. This activity included identifying barriers to the actions and approaches to overcoming those barriers. RESULTS:A total of 35 patients participated in phase 1, and 9 patients and 7 clinicians participated in phase 2. The analysis of the deintensification strategies and survey data is currently underway. The results are expected to be submitted for publication in early 2020. CONCLUSIONS:Health care interventions are frequently developed without input from the people who are most affected. The exclusion of these stakeholders in the design process often influences and limits the impact of the intervention. This study employed design charrettes, guided by a flexible user-centered design model, to bring clinicians and patients with differing backgrounds and with different expectations together to cocreate real-world solutions to the complex issue of deintensifying medical services. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID):RR1-10.2196/15618.
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Project description:BackgroundMedication reconciliation (MedRec) is an important patient safety initiative that aims to prevent patient harm from medication errors. Yet, the implementation and sustainability of MedRec interventions have been challenging due to contextual barriers like the lack of interprofessional communication (among pharmacists, nurses, and providers) and limited organizational capacity. How to best implement MedRec interventions remains unclear. Guided by the Expert Recommendations for Implementing Change (ERIC) taxonomy, we report the differing strategies hospital implementation teams used to implement an evidence-based MedRec Toolkit (the MARQUIS Toolkit).MethodsA qualitative study was conducted with implementation teams and executive leaders of hospitals participating in the federally funded "Implementation of a Medication Reconciliation Toolkit to Improve Patient Safety" (known as MARQUIS2) research study. Data consisted of transcripts from web-based focus groups and individual interviews, as well as meeting minutes. Interview data were transcribed and analyzed using content analysis and the constant comparison technique.ResultsData were collected from 16 hospitals using 2 focus groups, 3 group interviews, and 11 individual interviews, 10 sites' meeting minutes, and an email interview of an executive. Major categories of implementation strategies predominantly mirrored the ERIC strategies of "Plan," "Educate," "Restructure," and "Quality Management." Participants rarely used the ERIC strategies of finance and attending to policy context. Two new non-ERIC categories of strategies emerged-"Integration" and "Professional roles and responsibilities." Of the 73 specific strategies in the ERIC taxonomy, 32 were used to implement the MARQUIS Toolkit and 11 new, and non-ERIC strategies were identified (e.g., aligning with existing initiatives and professional roles and responsibilities).ConclusionsComplex interventions like the MARQUIS MedRec Toolkit can benefit from the ERIC taxonomy, but adaptations and new strategies (and even categories) are necessary to fully capture the range of approaches to implementation.
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