The Moderating Effect of Vaccine Hesitancy on the Relationship between the COVID-19 Vaccine Coverage Index and Vaccine Coverage.

To examine COVID-19 vaccination barriers in the US, this study drew on publicly available county-level data (n = 3130) to investigate the impact of vaccine hesitancy on the relationship between county-level social/structural barriers and vaccine coverage. A hierarchical regression was performed to establish the relationship between the COVID-19 Vaccine Coverage Index (CVAC) and vaccine coverage, assess the moderating effect of vaccine hesitancy on this relationship, and explore the influence of ethno-racial composition on vaccine coverage. A significant, negative relationship (r2 = 0.11, f2 = 0.12) between CVAC and vaccine coverage by county was established (step 1). When vaccine hesitancy was introduced as a moderator (step 2), the model significantly explained additional variance in vaccine coverage (r2 = 0.21, f2 = 0.27). Simple slopes analysis indicated a significant interaction effect, whereby the CVAC-vaccine coverage relationship was stronger in low hesitancy counties as compared with high hesitancy counties. Counties with low social/structural barriers (CVAC) but high hesitancy were projected to have 14% lower vaccine coverage. When county-level ethno-racial composition was introduced (step 3), higher proportions of white residents in a county predicted decreased vaccination rates (p < 0.05). Findings indicate that CVAC should be paired with vaccine hesitancy measures to better predict vaccine uptake. Moreover, counties with higher proportions of white residents led to decreases in vaccine uptake, suggesting that future intervention strategies should also target whites to reach herd immunity. We conclude that public health leaders and practitioners should address both social/structural and psychological barriers to vaccination to maximize vaccine coverage, with a particular focus on vaccine hesitancy in communities with minimal social/structural barriers.

Analyzing Twitter for Community-Level Public Health Messaging.

Funded in 2021 by the Centers for Disease Control and Prevention, Communities RISE Together (RISE) aims to increase the reach and effectiveness of messages to address vaccine hesitancy to further health equity. Twitter is a predominant social media source used by communities to share messaging and factual local information with constituents. We looked at the Twitter accounts of the organizations in 10 regional communities to examine social media communication patterns to guide how to increase messaging engagement. Specifically, we focused on Twitter post content, likes, and retweets. Our findings identified certain words-such as "food," "older adults," "equity," and "covid"-that were most associated with increased likes and retweets on the platform. However, the strongest predictor of receiving likes and retweets is the number of followers. Sentiment was a significant, but not meaningful, predictor of tweet engagement.

Implementing the Strengths Model of Case Management: Assessing Practice Three Years After Initial Implementation.

While strengths approaches are important to recovery-oriented practice, implementation can be challenging. This study implemented the strengths model of case management (SMCM) in 11 CM teams and assessed the fidelity of delivery and staff perceptions of the model after 36 months using the SMCM fidelity scale and the Readiness Monitoring Tool. Paired sample t-tests assessed change in fidelity from baseline to 36 months. Adjusted regression analyses compared survey responses of direct and management staff. While fidelity ratings significantly improved across all domains, at 36 months they remained suboptimal in supervision practices and use of model tools. Staff perceptions were generally positive but consistently lower for front-line than management staff. Implementing SMCM into existing case management practice with good fidelity is feasible. However, clear support from management may strengthen staff motivation and delivery. A review of practice later in implementation can flag challenges for sustainability and guide implementation support.

The community transformation map: A maturity tool for planning change in community health improvement for equity and well-being.

Transforming communities to be healthier and more equitable prosents a systemic challenge best addressed by those with native knowledge of the system. Community coalitions are a promising structure for tackling local health inequities, if they approach the change process with multiple local stakeholders and with systemic change in mind. Maturity models offer a framework for system assessment by defining sequential stages toward ideal development. Providing coalitions with a structure for self-assessing community change, the Community Transformation Map (CTM) is a maturity model that operationalizes concepts hypothesized to foster systemic change. This 40-item tool encourages self-assessment, dialogue, and reconciliation of community transformation priorities via an appreciative inquiry process. The CTM was created and applied with 18 community coalitions participating in the 100 Million Healthier Lives initiative. It was iteratively drafted with representatives from across the initiative. These coalitions self-administered the CTM four times over 24 months. Coalitions used the CTM to reconcile perspectives, identify priorities, and create transformation action plans. After the fourth administration, ten semistructured interviews were conducted with coalition members. Thematic analysis revealed good contextual validity. Coalitions saw value in the CTM's productive dialogue and the shared understanding it created, but reported perceived burden in conducting repeated administration. The CTM's value is in structuring community members' reflection on complex, systemic problems. The CTM is rooted in international improvement and change principles and continues to be adapted for other change initiatives. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Examining the concept of equity in community psychology with natural language processing.

Large amounts of text-based data, like study abstracts, often go unanalyzed because the task is laborious. Natural language processing (NLP) uses computer-based algorithms not traditionally implemented in community psychology to effectively and efficiently process text. These methods include examining the frequency of words and phrases, the clustering of topics, and the interrelationships of words. This article applied NLP to explore the concept of equity in community psychology. The COVID-19 crisis has made pre-existing health equity gaps even more salient. Community psychology has a specific interest in working with organizations, systems, and communities to address social determinants that perpetuate inequities by refocusing interventions around achieving health and wellness for all. This article examines how community psychology has discussed equity thus far to identify strengths and gaps for future research and practice. The results showed the prominence of community-based participatory research and the diversity of settings researchers work in. However, the total number of abstracts with equity concepts was lower than expected, which suggests there is a need for a continued focus on equity.

5335 days of Implementation Science: using natural language processing to examine publication trends and topics.

INTRODUCTION: Moving evidence-based practices into the hands of practitioners requires the synthesis and translation of research literature. However, the growing pace of scientific publications across disciplines makes it increasingly difficult to stay abreast of research literature. Natural language processing (NLP) methods are emerging as a valuable strategy for conducting content analyses of academic literature. We sought to apply NLP to identify publication trends in the journal Implementation Science, including key topic clusters and the distribution of topics over time. A parallel study objective was to demonstrate how NLP can be used in research synthesis. METHODS: We examined 1711 Implementation Science abstracts published from February 22, 2006, to October 1, 2020. We retrieved the study data using PubMed's Application Programming Interface (API) to assemble a database. Following standard preprocessing steps, we use topic modeling with Latent Dirichlet allocation (LDA) to cluster the abstracts following a minimization algorithm. RESULTS: We examined 30 topics and computed topic model statistics of quality. Analyses revealed that published articles largely reflect (i) characteristics of research, or (ii) domains of practice. Emergent topic clusters encompassed key terms both salient and common to implementation science. HIV and stroke represent the most commonly published clinical areas. Systematic reviews have grown in topic prominence and coherence, whereas articles pertaining to knowledge translation (KT) have dropped in prominence since 2013. Articles on HIV and implementation effectiveness have increased in topic exclusivity over time. DISCUSSION: We demonstrated how NLP can be used as a synthesis and translation method to identify trends and topics across a large number of (over 1700) articles. With applicability to a variety of research domains, NLP is a promising approach to accelerate the dissemination and uptake of research literature. For future research in implementation science, we encourage the inclusion of more equity-focused studies to expand the impact of implementation science on disadvantaged communities.

Development of a comprehensive measure of organizational readiness (motivation × capacity) for implementation: a study protocol.

BACKGROUND: Organizational readiness is important for the implementation of evidence-based interventions. Currently, there is a critical need for a comprehensive, valid, reliable, and pragmatic measure of organizational readiness that can be used throughout the implementation process. This study aims to develop a readiness measure that can be used to support implementation in two critical public health settings: federally qualified health centers (FQHCs) and schools. The measure is informed by the Interactive Systems Framework for Dissemination and Implementation and R = MC2 heuristic (readiness = motivation × innovation-specific capacity × general capacity). The study aims are to adapt and further develop the readiness measure in FQHCs implementing evidence-based interventions for colorectal cancer screening, to test the validity and reliability of the developed readiness measure in FQHCs, and to adapt and assess the usability and validity of the readiness measure in schools implementing a nutrition-based program. METHODS: For aim 1, we will conduct a series of qualitative interviews to adapt the readiness measure for use in FQHCs. We will then distribute the readiness measure to a developmental sample of 100 health center sites (up to 10 staff members per site). We will use a multilevel factor analysis approach to refine the readiness measure. For aim 2, we will distribute the measure to a different sample of 100 health center sites. We will use multilevel confirmatory factor analysis models to examine the structural validity. We will also conduct tests for scale reliability, test-retest reliability, and inter-rater reliability. For aim 3, we will use a qualitative approach to adapt the measure for use in schools and conduct reliability and validity tests similar to what is described in aim 2. DISCUSSION: This study will rigorously develop a readiness measure that will be applicable across two settings: FQHCs and schools. Information gained from the readiness measure can inform planning and implementation efforts by identifying priority areas. These priority areas can inform the selection and tailoring of support strategies that can be used throughout the implementation process to further improve implementation efforts and, in turn, program effectiveness.

Development of a Clinical-Academic-Community Collaboration to Improve Health Literacy.

Limited health literacy is associated with poor patient health outcomes and increased hospitalization rates. Patient-provider communication plays an important role in patient health literacy and the understanding of medical terminology. This study demonstrates how a collaboration between clinical, academic, and community partners was instrumental in the design and implementation of a clinic readiness assessment and a clinic-based pilot intervention to encourage patient-provider communication and improve patient health literacy. A state hospital association, academic research team, and community adult literacy center director collaborated to develop a 60-item clinic readiness assessment and an evidence-informed pilot intervention. The clinic readiness assessment captured clinics' motivation and capacity for pilot implementation and providers' current communication strategies. The intervention centered around AskMe3™ educational materials and involved 2 patient visits (initial and follow-up visits). Data collection instruments for the intervention were administered verbally and included questions about patient demographics and communication needs, and a single-item health literacy measure. Descriptive statistics (frequencies/percentages) were used to analyze results from the clinic readiness assessment and pilot intervention. Establishment of the partnership, and collaborative, iterative development of the clinic readiness assessment and pilot intervention are described. This pilot project resulted in important lessons learned which led to critical modifications that will inform future expansion of the intervention. Collaboration between healthcare leaders, researchers, and community partners is recommended for developing clinic-based health literacy initiatives.

Using Collaborative Coalition Processes to Advance Community Health, Well-Being, and Equity: A Multiple-Case Study Analysis From a National Community Transformation Initiative.

Spreading Community Accelerators Through Learning and Evaluation (SCALE) was a Robert Wood Johnson Foundation-funded initiative from 2015 to 2017 to build capability of 24 community coalitions to advance health, well-being, and equity. The SCALE theory of change had three components: develop leadership capability, build relationships within and between communities, and create an intercommunity system to spread promising ideas. The theory was operationalized through training academies, coaching, and peer-to-peer learning that explicitly addressed equity and systems change. In this article, we describe how SCALE facilitated community transformation related to Collaborating for Equity and Justice Principles 1, 3, 4, and 6. We conducted a multiple-case study approach with two community coalitions including site visits, interviews, and observation to illuminate underlying mechanisms of change by exploring how and why change occurs. Skid Row Women worked with women experiencing homelessness in Los Angeles to address diabetes and food systems. Healthy Livable Communities of Cattaraugus County used a portfolio of projects in order to create system changes to improve population health and increase access to services for people with disabilities in rural New York State. Through our analysis, we describe how two coalitions used SCALE tools for collaborative coalition processes such as aim setting, relationship building, and shared decision making with community residents. Our findings suggest that advancing Collaborating for Equity and Justice principles requires self-reflection and courage; new ways of being in relationship; learning from failure; productive conflict to explicitly address power, racism, and other forms of oppression; and methods to test systems improvement ideas.

The Readiness for Integrated Care Questionnaire (RICQ): An instrument to assess readiness to integrate behavioral health and primary care.

Integration of behavioral health and primary care services is a promising approach for reducing health disparities. The growing national emphasis on care coordination has mobilized efforts to integrate behavioral health and primary care services across the United States. These efforts align with broader health care system goals of improving health care quality, health equity, utilization efficiency, and patient outcomes. Drawing from our work on a multiyear integrated care initiative (Integrated Care Leadership Program; ICLP) and an implementation science heuristic for organizational readiness (Readiness = Motivation x General Capacity and Innovation-Specific Capacity; R = MC2), this article describes the development and implementation of a tool to assess organizational readiness for integrated care, referred to as the Readiness for Integrated Care Questionnaire (RICQ). The tool was piloted with 11 health care practices that serve vulnerable, underprivileged populations. Initial results from the RICQ revealed that participating practices were generally high in motivation, innovation-specific capacities, and general capacities at the start of ICLP. Additionally, analyses indicated that practices particularly needed support with increasing staff capacities (general knowledge and skills), improving access to and use of resources, and simplifying the steps in integrating care so the effort appears less daunting and difficult to health care team members. We discuss insights from the initial use of RICQ and practical implications of the new tool for driving integrated care efforts that can contribute to health equity. (PsycINFO Database Record

A formative multi-method approach to evaluating training.

This article describes how we used a formative multi-method evaluation approach to gather real-time information about the processes of a complex, multi-day training with 24 community coalitions in the United States. The evaluation team used seven distinct, evaluation strategies to obtain evaluation data from the first Community Health Improvement Leadership Academy (CHILA) within a three-prong framework (inquiry, observation, and reflection). These methods included: comprehensive survey, rapid feedback form, learning wall, observational form, team debrief, social network analysis and critical moments reflection. The seven distinct methods allowed for both real time quality improvement during the CHILA and long term planning for the next CHILA. The methods also gave a comprehensive picture of the CHILA, which when synthesized allowed the evaluation team to assess the effectiveness of a training designed to tap into natural community strengths and accelerate health improvement. We hope that these formative evaluation methods can continue to be refined and used by others to evaluate training.

A practical implementation science heuristic for organizational readiness: R = MC2.

There are many challenges when an innovation (i.e., a program, process, or policy that is new to an organization) is actively introduced into an organization. One critical component for successful implementation is the organization's readiness for the innovation. In this article, we propose a practical implementation science heuristic, abbreviated as R= MC2 . We propose that organizational readiness involves: 1) the motivation to implement an innovation, 2) the general capacities of an organization, and 3) the innovation-specific capacities needed for a particular innovation. Each of these components can be assessed independently and be used formatively. The heuristic can be used by organizations to assess readiness to implement and by training and technical assistance providers to help build organizational readiness. We present an illustration of the heuristic by showing how behavioral health organizations differ in readiness to implement a peer specialist initiative. Implications for research and practice of organizational readiness are discussed.

Practical implementation science: developing and piloting the quality implementation tool.

According to the Interactive Systems Framework for Dissemination and Implementation, implementation is a major mechanism and concern in bridging research and practice. The growing number of implementation frameworks need to be synthesized and translated so that the science and practice of quality implementation can be furthered. In this article, we: (1) use the synthesis of frameworks developed by Meyers et al. (Am J Commun Psychol, 2012) and translate the results into a practical implementation science tool to use for improving quality of implementation (i.e., the Quality Implementation Tool; QIT), and (2) present some of the benefits and limitations of the tool by describing how the QIT was implemented in two different pilot projects. We discuss how the QIT can be used to guide collaborative planning, monitoring, and evaluation of how an innovation is implemented.