Implementation of an Evidence-Based Intervention with Safety Net Clinics to Improve Mammography Appointment Adherence Among Underserved Women.

The Peace of Mind Program is an evidence-based intervention to improve mammography appointment adherence in underserved women. The aim of this study was to assess effectiveness of the intervention and implementation of the intervention in safety net clinics. The intervention was implemented through a non-randomized stepped wedge cluster hybrid study design with 19 Federally Qualified Health Centers and charity care clinics within the Greater Houston area. A multivariable generalized estimating equation logistic regression was conducted to examine mammography appointment adherence. A survey assessing Consolidated Framework for Implementation Research constructs was also conducted with clinic staff prior to adoption and eight weeks post implementation. One-sided t-tests were conducted to analyze mean score changes between the surveys. A total of 4402 women (baseline period = 2078; intervention period = 2324) were included in the final regression analysis. Women in the intervention period were more likely to attend or reschedule their mammography appointment (OR = 1.30; p < 0.01) than those in the baseline period receiving usual care. Women who completed the intervention were more likely to attend or reschedule their mammography appointment than those who did not complete the intervention (OR = 1.62; p < 0.01). The mammography appointment no-show rates for those in the baseline period, in the intervention period, and who completed the intervention were, respectively, 22%, 19%, and 15%. A total of 15 clinics prior to adoption and eight clinics completed the survey at 8 weeks post implementation A statistically significant mean score decrease was observed in Inner Setting and in two Inner Setting CFIR constructs, Culture-Effort, and Implementation Climate. While the intervention improved mammography appointment adherence, there are opportunities to further integrate Consolidated Framework for Implementation Research constructs. Trial registration: Clinical trials registration number: NCT02296177.

Stakeholder Engagement in Adoption, Implementation, and Sustainment of an Evidence-Based Intervention to Increase Mammography Adherence Among Low-Income Women.

Multi-level organizational stakeholder engagement plays an important role across the research process in a clinical setting. Stakeholders provide organizational specific adaptions in evidence-based interventions to ensure effective adoption, implementation, and sustainability. Stakeholder engagement strategies involve building mutual trust, providing clear communication, and seeking feedback. Using constructs from the Consolidated Framework for Implementation Research and The International Association for Public Participation spectrum, a conceptual framework was created to guide stakeholder engagement in an evidence-based intervention to increase mammography appointment adherence in underserved and low-income women. A document review was used to explore the alignment of the conceptual framework with intervention activities and stakeholder engagement strategies. The results indicate an alignment with the conceptual framework constructs and a real-world application of stakeholder engagement in a mammography evidence-based intervention. The conceptual framework and stakeholder engagement strategies can be applied across a range of community-based cancer programs and interventions, organizations, and clinical settings.

Dimension reduction of 911 Good Samaritan Laws: Drawing inferences from policy surveillance.

BACKGROUND: 911 Good Samaritan Laws (GSLs) extend legal protection to people reporting drug overdoses who may otherwise be in violation of controlled substance laws. Mixed evidence suggests GSLs decrease overdose mortality, but these studies overlook substantial heterogeneity across states. The GSL Inventory exhaustively catalogs features of these laws into four categories: breadth, burden, strength, and exemption. The present study reduces this dataset to reveal patterns in implementation, facilitate future evaluations, and to produce a roadmap for the dimension reduction of further policy surveillance datasets. METHODS: We produced multidimensional scaling plots visualizing the frequency of co-occurring GSL features from the GSL Inventory as well as similarity among state laws. We clustered laws into meaningful groups by shared features; produced a decision tree identifying salient features predicting group membership; scored their relative breadth, burden, strength, and exemption of immunity; and associated groups with state sociopolitical and sociodemographic variables. RESULTS: In the feature plot, breadth and strength features segregate from burdens and exemptions. Regions in the state plot differentiate quantity of substances immunized, burden of reporting requirements, and immunity for probationers. State laws may be clustered into five groups distinguished by proximity, salient features, and sociopolitical variables. DISCUSSION: This study reveals competing attitudes toward harm reduction that underly GSLs across states. These analyses provide a roadmap for the application of dimension reduction methods to policy surveillance datasets, accommodating their binary structure and longitudinal observations. These methods preserve higher-dimensional variance in a form amenable to statistical evaluation.

Review and inventory of 911 Good Samaritan Law Provisions in the United States.

BACKGROUND: 911 Good Samaritan Laws (GSLs) confer limited legal immunity to bystanders in possession of controlled substances who report emergency overdoses. While these laws may decrease opioid overdose mortality, current literature reduces GSLs to a small number of variables, overlooking substantial differences in implementation and statutory context which dramatically alter their applicability. METHODS: We identified all state GSLs and their legislative history, characterizing features into four categories using a novel framework: breadth of protected activities, burden placed on Good Samaritans, strength of protection, and exemption in coverage. When protections depended on the nature of the controlled substance, heroin served as a common point of comparison. RESULTS: GSLs vary substantially across states and time. Protections depend on the quantity of substances involved and may extend to the person experiencing the overdose or persons reporting their own overdose. Protected offenses range from possession of controlled substances to drug-induced homicide. In some states, Good Samaritans must complete substance use treatment or administer naloxone to retain protections. Immunity ranges from protection from arrest to merely procedural protections at trial, and may even exclude persons in possession of opioids. Exemptions target persons engaging in chronic substance use, such as persons invoking protection multiple times or previously reporting an overdose. CONCLUSION: States offer Good Samaritans substantially different protections even when the statutes confer nominally comparable immunities. Accommodating this heterogeneity will enhance the validity of future studies into these laws and their efficacy.

Developing and Evaluating a Quality Improvement Intervention to Facilitate Patient Navigation in the Accountable Health Communities Model.

Introduction: The Accountable Health Communities (AHC) Model was designed to address the health-related social needs of Centers for Medicare & Medicaid Services beneficiaries. Bridge organizations across the AHC Model have identified lack of technical assistance and peer planning as potential barriers to Model success, particularly around patient navigation. The technical assistance and peer planning literature lacks an organizing, conceptual framework, but implementation science frameworks could serve as useful guides. The Strengthening Peer AHC Navigation (SPAN) research protocol seeks to fill this gap and will apply three implementation science frameworks, Consolidated Framework for Implementation Research, Intervention Mapping, and the Expert Recommendations for Implementing Change compilation, to develop a multi-level quality improvement intervention and evaluate the impact of peer planning on Model outcomes. The aims of the SPAN study are to implement and evaluate a novel multi-level quality improvement intervention to improve AHC implementation and navigation milestones through structured peer planning and to provide successful technical assistance for the AHC Model. Methods and Analysis: The quality improvement intervention is outlined in four Tasks: (1) Assessment - to conduct an assessment of each bridge organization's current implementation, needs, and readiness in AHC Model navigation activities; (2) Planning - to engage in a peer planning approach to build capacity for AHC Model navigation activities; (3) Implementation with technical assistance - Co-creation of a quality improvement protocol for AHC Model navigation activities; and (4) Evaluation - measure the impact of the peer planning and technical assistance approach. Alongside the development and implementation of the quality improvement intervention, this protocol describes a mixed method, convergent parallel study design which will be used to evaluate whether the quality improvement intervention will lead to better outcomes. Tasks will be replicated with five bridge organizations participating in the AHC Model. Discussion: This research protocol provides a framework that can be used to conduct structured peer planning with technical assistance for social needs programs. This study will provide data on both implementation and outcomes which eventually may impact healthcare cost and utilization.