Dataset Information

Identifying Contextual Factors and Strategies for Practice Facilitation in Primary Care Quality Improvement Using an Informatics-Driven Model: Framework Development and Mixed Methods Case Study.

ABSTRACT:

Background

The past decade has seen increasing opportunities and efforts to integrate quality improvement into health care. Practice facilitation is a proven strategy to support redesign and improvement in primary care practices that focuses on building organizational capacity for continuous improvement. Practice leadership, staff, and practice facilitators all play important roles in supporting quality improvement in primary care. However, little is known about their perspectives on the context, enablers, barriers, and strategies that impact quality improvement initiatives.

Objective

This study aimed to develop a framework to enable assessment of contextual factors, challenges, and strategies that impact practice facilitation, clinical measure performance, and the implementation of quality improvement interventions. We also illustrated the application of the framework using a real-world case study.

Methods

We developed the TITO (task, individual, technology, and organization) framework by conducting participatory stakeholder workshops and incorporating their perspectives to identify enablers and barriers to quality improvement and practice facilitation. We conducted a case study using a mixed methods approach to demonstrate the use of the framework and describe practice facilitation and factors that impact quality improvement in a primary care practice that participated in the Healthy Hearts in the Heartland study.

Results

The proposed framework was used to organize and analyze different stakeholders' perspectives and key factors based on framework domains. The case study showed that practice leaders, staff, and practice facilitators all influenced the success of the quality improvement program. However, these participants faced different challenges and used different strategies. The framework showed that barriers stemmed from patients' social determinants of health, a lack of staff and time, and unsystematic facilitation resources, while enablers included practice culture, staff buy-in, implementation of effective practice facilitation strategies, practice capacity for change, and shared complementary resources from similar, ongoing programs.

Conclusions

Our framework provided a useful and generalizable structure to guide and support assessment of future practice facilitation projects, quality improvement initiatives, and health care intervention implementation studies. The practice leader, staff, and practice facilitator all saw value in the quality improvement program and practice facilitation. Practice facilitators are key liaisons to help the quality improvement program; they help all stakeholders work toward a shared target and leverage tailored strategies. Taking advantage of resources from competing, yet complementary, programs as additional support may accelerate the effective achievement of quality improvement goals. Practice facilitation-supported quality improvement programs may be opportunities to assist primary care practices in achieving improved quality of care through focused and targeted efforts. The case study demonstrated how our framework can support a better understanding of contextual factors for practice facilitation, which could enable well-prepared and more successful quality improvement programs for primary care practices. Combining implementation science and informatics thinking, our TITO framework may facilitate interdisciplinary research in both fields.

SUBMITTER: Ye J

PROVIDER: S-EPMC9269526 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

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.

Project description:IntroductionAdverse pregnancy outcomes are more common among Aboriginal and Torres Strait Islander populations than non-Indigenous populations in Australia. Later in life, most of the difference in life expectancy between Aboriginal and Torres Strait Islander women and non-Indigenous women is due to non-communicable diseases (NCDs). Most Aboriginal and Torres Strait Islander women attend health services regularly during pregnancy. Providing high-quality care within these appointments has an important role to play in improving the current and future health of women and babies.AimThis study engaged stakeholders in a theory-informed process to use aggregated continuous quality improvement (CQI) data to identify 1) priority evidence-practice gaps in Aboriginal and Torres Strait Islander maternal health care, 2) barriers and enablers to high-quality care, and 3) strategies to address identified priorities.MethodsThree phases of reporting and feedback were implemented using de-identified CQI data from 91 health services between 2007 and 2014 (4,402 client records). Stakeholders (n = 172) from a range of professions and organisations participated.ResultsStakeholders identified four priority areas relating to NCDs: smoking, alcohol, psychosocial wellbeing and nutrition. Barriers or enablers to high-quality care included workforce support, professional development, teamwork, woman-centred care, decision support, equipment and community engagement. Strategies to address the priorities included upskilling staff to provide best practice care in priority areas, advocating for availability of healthy food, housing and local referral options, partnering with communities on health promotion projects, systems to facilitate continuity of care and clear referral pathways.ConclusionsThis novel use of large-scale aggregate CQI data facilitated stakeholder input on priority evidence-practice gaps in maternal health care in Australia. Evidence-practice gaps relating to NCD risk factors and social determinants of health were prioritised, and stakeholders suggested both healthcare-focussed initiatives and approaches involving the community and the wider health sector. The findings can inform health service planning, advocacy, inter-agency strategies, and future research.

Project description:BackgroundPractice facilitation is a method used to address the complexity associated with implementation of innovations into primary care. To provide support, we propose that the i-PARIHS (Integrated Promoting Action on Research Implementation in Health Services) framework could support practice facilitators. The i-PARIHS framework positions facilitation as a core element for successful implementation. Therefore, the aim of this study was to provide support to practice facilitators whilst simultaneously gaining feedback on what facilitators in practice need in regard to support with operationalising the i-PARIHS framework in practice.MethodsThis study involved the delivery of a 1-h workshop on the i-PARIHS framework at the 2018 International Conference on Practice Facilitation. The authors provided an overview of the i-PARIHS framework, how it can be used to support the facilitation of innovations into practice, and finally, attendees worked through facilitation scenarios and applied an i-PARIHS resource. At the end of the workshop, attendees were invited to participant in the research component, by completing a post-workshop survey on the workshop content and the i-PARIHS resource.ResultsParticipants were highly engaged and enthusiastic about the workshop. Participants reported that an introduction to implementation frameworks was valuable and the example of how the i-PARIHS framework had been used in a previous project was helpful. Overall, this study identifies how framework informed facilitation helped participants feel more equipped to conduct systematic facilitation and that the development of i-PARIHS resources would be helpful in their everyday work.ConclusionsThis study demonstrates that the existence of implementation frameworks is not sufficient to provide support to those who facilitate in the real world. The current study introduced practice facilitators to the i-PARIHS framework, and the findings demonstrate the need to develop and refine existing i-PARIHS resources to support facilitation. Specifically, the next steps stemming from this study will be to (i) continue to utilize workshops for sharing and refining tools, (ii) allocate development efforts to tools that assist with planning, (iii) focus on tool provision mechanisms that keep user-friendliness in mind, and (iv) translate the i-PARIHS facilitation checklist from academic language into more practical and user-friendly language.

Project description:BackgroundPractice facilitation is a multicomponent implementation strategy used to improve the capacity for practices to address care quality and implementation gaps. We sought to assess whether practice facilitators use of coaching strategies aimed at improving self-sufficiency were associated with improved implementation of quality improvement (QI) interventions in the Healthy Hearts in the Heartland Study.MethodsWe mapped 27 practice facilitation activities to a framework that classifies practice facilitation strategies by the degree to which the practice develops its own process expertise (Doing Tasks, Project Management, Consulting, Teaching, and Coaching) and then used regression tree analysis to group practices by facilitation strategies experienced. Kruskal-Wallis tests were used to assess whether practice groups identified by regression tree analysis were associated with successful implementation of QI interventions and practice and study context variables.ResultsThere was no association between number of strategies performed by practice facilitators and number of QI interventions implemented. Regression tree analysis identified 4 distinct practice groups based on the number of Project Management and Coaching strategies performed. The median number of interventions increased across the groups. Practices receiving > 4 project management and > 6 coaching activities implemented a median of 17 of 35 interventions. Groups did not differ significantly by practice size, association with a healthcare network, or practice type. Statistically significant differences in practice location, number and duration of facilitator visits, and early study termination emerged among the groups, compared to the overall practice population.ConclusionsPractices that engage in more coaching-based strategies with practice facilitators are more likely to implement more QI interventions, and practice receptivity to these strategies was not dependent on basic practice demographics.

Project description:BackgroundImplementation research has delved into barriers to implementing change and interventions for the implementation of innovation in practice. There remains a gap, however, that fails to connect implementation barriers to the most effective implementation strategies and provide a more tailored approach during implementation. This study aimed to explore barriers for the implementation of professional services in community pharmacies and to predict the effectiveness of facilitation strategies to overcome implementation barriers using machine learning techniques.MethodsSix change facilitators facilitated a 2-year change programme aimed at implementing professional services across community pharmacies in Australia. A mixed methods approach was used where barriers were identified by change facilitators during the implementation study. Change facilitators trialled and recorded tailored facilitation strategies delivered to overcome identified barriers. Barriers were coded according to implementation factors derived from the Consolidated Framework for Implementation Research and the Theoretical Domains Framework. Tailored facilitation strategies were coded into 16 facilitation categories. To predict the effectiveness of these strategies, data mining with random forest was used to provide the highest level of accuracy. A predictive resolution percentage was established for each implementation strategy in relation to the barriers that were resolved by that particular strategy.ResultsDuring the 2-year programme, 1131 barriers and facilitation strategies were recorded by change facilitators. The most frequently identified barriers were a 'lack of ability to plan for change', 'lack of internal supporters for the change', 'lack of knowledge and experience', 'lack of monitoring and feedback', 'lack of individual alignment with the change', 'undefined change objectives', 'lack of objective feedback' and 'lack of time'. The random forest algorithm used was able to provide 96.9% prediction accuracy. The strategy category with the highest predicted resolution rate across the most number of implementation barriers was 'to empower stakeholders to develop objectives and solve problems'.ConclusionsResults from this study have provided a better understanding of implementation barriers in community pharmacy and how data-driven approaches can be used to predict the effectiveness of facilitation strategies to overcome implementation barriers. Tailored facilitation strategies such as these can increase the rate of real-time implementation of innovations in healthcare, leading to an industry that can confidently and efficiently adapt to continuous change.

Project description:BackgroundThe evidence base for quality improvement (QI) interventions is expanding rapidly. The diversity of the initiatives and the inconsistency in labeling these as QI interventions makes it challenging for researchers, policymakers, and QI practitioners to access the literature systematically and to identify relevant publications.MethodsWe evaluated search strategies developed for MEDLINE (Ovid) and PubMed based on free text words, Medical subject headings (MeSH), QI intervention components, continuous quality improvement (CQI) methods, and combinations of the strategies. Three sets of pertinent QI intervention publications were used for validation. Two independent expert reviewers screened publications for relevance. We compared the yield, recall rate, and precision of the search strategies for the identification of QI publications and for a subset of empirical studies on effects of QI interventions.ResultsThe search yields ranged from 2,221 to 216,167 publications. Mean recall rates for reference publications ranged from 5% to 53% for strategies with yields of 50,000 publications or fewer. The 'best case' strategy, a simple text word search with high face validity ('quality' AND 'improv*' AND 'intervention*') identified 44%, 24%, and 62% of influential intervention articles selected by Agency for Healthcare Research and Quality (AHRQ) experts, a set of exemplar articles provided by members of the Standards for Quality Improvement Reporting Excellence (SQUIRE) group, and a sample from the Cochrane Effective Practice and Organization of Care Group (EPOC) register of studies, respectively. We applied the search strategy to a PubMed search for articles published in 10 pertinent journals in a three-year period which retrieved 183 publications. Among these, 67% were deemed relevant to QI by at least one of two independent raters. Forty percent were classified as empirical studies reporting on a QI intervention.ConclusionsThe presented search terms and operating characteristics can be used to guide the identification of QI intervention publications. Even with extensive iterative development, we achieved only moderate recall rates of reference publications. Consensus development on QI reporting and initiatives to develop QI-relevant MeSH terms are urgently needed.