OBJECTIVE: Many barriers to implementation of developmental screening in primary care exist, especially for children from under-resourced communities. Developmental screening is vital to early detection of developmental delay and autism spectrum disorder, and early intervention (EI) referral. This study sought to examine whether implementation of a standardized clinical workflow using electronic screening tools improved both rates of developmental screening, and the number of children identified at risk for developmental delay, in a federally qualified health center (FQHC).
METHODS: A retrospective study was conducted at an academic-affiliated FQHC. Electronic versions of the Ages and Stages Questionnaire 3 (ASQ-3) and Modified Checklist in Autism for Toddlers Revised (M-CHAT-R) were implemented at well-child visits. New clinical workflow training on developmental screening and EI referral was provided. Chi-square and Fisher\'s Exact analyses were conducted.
RESULTS: ASQ-3 screening rates increased from 62.7 to 73.6% pre- to post-intervention. Post-intervention, there was a significant decrease in paper screens (p < .001), and a significant increase in the percentage of children with ASQ-3 results in the below cutoff range from 14.7 to 18.2% (p < .002). M-CHAT-R screening rates increased from 56.4 to 59.4% pre- to post-intervention. Post-intervention, there was a significant increase in electronic screens (p < .001).
CONCLUSIONS: Implementation of electronic screening tools improved universal developmental screening in a FQHC. To decrease barriers in under-resourced communities, the use of electronic tools may decrease the rate of screening error seen with paper screening and have the potential to better identify children at risk for developmental delay.

BACKGROUND: Persons with diabetes have 27% elevated risk of developing colorectal cancer (CRC) and are disproportionately from priority health disparities populations. Federally qualified health centers (FQHCs) struggle to implement CRC screening programs for average risk patients. Strategies to effectively prioritize and optimize CRC screening for patients with diabetes in the primary care safety-net are needed.
METHODS: Guided by the Exploration, Preparation, Implementation and Sustainment Framework, we conducted a stakeholder-engaged process to identify multi-level change objectives for implementing optimized CRC screening for patients with diabetes in FQHCs. To identify change objectives, an implementation planning group of stakeholders from FQHCs, safety-net screening programs, and policy implementers were assembled and met over a 7-month period. Depth interviews (n = 18-20) with key implementation actors were conducted to identify and refine the materials, methods and strategies needed to support an implementation plan across different FQHC contexts. The planning group endorsed the following multi-component implementation strategies: identifying clinic champions, development/distribution of patient educational materials, developing and implementing quality monitoring systems, and convening clinical meetings. To support clinic champions during the initial implementation phase, two learning collaboratives and bi-weekly virtual facilitation will be provided. In single group, hybrid type 2 effectiveness-implementation trial, we will implement and evaluate these strategies in a in six safety net clinics (n = 30 patients with diabetes per site). The primary clinical outcomes are: (1) clinic-level colonoscopy uptake and (2) overall CRC screening rates for patients with diabetes assessed at baseline and 12-months post-implementation. Implementation outcomes include provider and staff fidelity to the implementation plan, patient acceptability, and feasibility will be assessed at baseline and 12-months post-implementation.
CONCLUSIONS: Study findings are poised to inform development of evidence-based implementation strategies to be tested for scalability and sustainability in a future hybrid 2 effectiveness-implementation clinical trial. The research protocol can be adapted as a model to investigate the development of targeted cancer prevention strategies in additional chronically ill priority populations.
BACKGROUND: This study was registered in ClinicalTrials.gov (NCT05785780) on March 27, 2023 (last updated October 21, 2023).

UNASSIGNED: Implementing evidence-based practices (EBPs) within service systems is critical to population-level health improvements - but also challenging, especially for complex behavioral health interventions in low-resource settings. \"Mis-implementation\" refers to poor outcomes from an EBP implementation effort; mis-implementation outcomes are an important, but largely untapped, source of information about how to improve knowledge exchange.
UNASSIGNED: We present mis-implementation cases from three pragmatic trials of behavioral health EBPs in U.S. Federally Qualified Health Centers (FQHCs).
UNASSIGNED: We adapted the Consolidated Framework for Implementation Research and its Outcomes Addendum into a framework for mis-implementation and used it to structure the case summaries with information about the EBP and trial, mis-implementation outcomes, and associated determinants (barriers and facilitators). We compared the three cases to identify shared and unique mis-implementation factors.
UNASSIGNED: Across cases, there was limited adoption and fidelity to the interventions, which led to eventual discontinuation. Barriers contributing to mis-implementation included intervention complexity, low buy-in from overburdened providers, lack of alignment between providers and leadership, and COVID-19-related stressors. Mis-implementation occurred earlier in cases that experienced both patient- and provider-level barriers, and that were conducted during the COVID-19 pandemic.
UNASSIGNED: Multi-level determinants contributed to EBP mis-implementation in FQHCs, limiting the ability of these health systems to benefit from knowledge exchange. To minimize mis-implementation, knowledge exchange strategies should be designed around common, core barriers but also flexible enough to address a variety of site-specific contextual factors and should be tailored to relevant audiences such as providers, patients, and/or leadership.

BACKGROUND: Early initiation of prenatal care is widely accepted to improve the health outcomes of pregnancy for both mothers and their infants. Identification of the various barriers to entry into care that patients experience may inform and improve health care provision and, in turn, improve the patient\'s ability to receive necessary care.
OBJECTIVE: This study implements a mixed-methods approach to establish methods and procedures for identifying barriers to early entry to prenatal care in a medically-vulnerable patient population and areas for future quality improvement initiatives.
METHODS: An initial chart review was conducted on obstetrics patients that initiated prenatal care after their first trimester at a large federally qualified health center in Brooklyn, NY, to determine patient-specified reasons for delay. A thematic analysis of these data was implemented in combination with both parametric and non-parametric analyses to characterize the population of interest, and to identify the primary determinants of delayed entry.
RESULTS: The age of patients in the population of interest (n = 169) was bimodal, with a range of 15 - 43 years and a mean of 28 years. The mean gestational age of entry into prenatal care was 19 weeks. The chart review revealed that 8% recently moved to Brooklyn from outside of NYC or the USA. Nine percent had difficulty scheduling an initial prenatal visit within their first trimester. Teenage pregnancy accounted for 7%. Provider challenges with documentation (21%) were noted. The most common themes identified (n = 155) were the patient being in transition (21%), the pregnancy being unplanned (17%), and issues with linkage to care (15%), including no shows or patient cancellations. Patients who were late to prenatal care also differed from their peers dramatically, as they were more likely to be Spanish-speaking, to be young, and to experience a relatively long delay between pregnancy confirmation and entry into care. Moreover, the greatest determinant of delayed entry into care was patient age.
CONCLUSIONS: Our study provides a process for other like clinics to identify patients who are at risk for delayed entry to prenatal care and highlight common barriers to entry. Future initiatives include the introduction of a smart data element to document reasons for delay and use of community health workers for dedicated outreach after no show appointments or patient cancellations.

BACKGROUND: Research demonstrates the importance of documenting adaptations to implementation strategies that support integration of evidence-based interventions into practice. While studies have utilized the FRAME-IS [Framework for Reporting Adaptations and Modifications for Implementation Strategies] to collect structured adaptation data, they are limited by a focus on discrete implementation strategies (e.g., training), which do not reflect the complexity of multifaceted strategies like practice facilitation. In this paper, we apply the FRAME-IS to our trial evaluating the effectiveness of PF on implementation fidelity of an evidence-based technology-facilitated team care model for improved hypertension control within a federally qualified health center (FQHC).
METHODS: Three data sources are used to document adaptations: (1) implementation committee meeting minutes, (2) narrative reports completed by practice facilitators, and (3) structured notes captured on root cause analysis and Plan-Do-Study-Act worksheets. Text was extracted from the data sources according to the FRAME-IS modules and inputted into a master matrix for content analysis by two authors; a third author conducted member checking and code validation.
RESULTS: We modified the FRAME-IS to include part 2 of module 2 (what is modified) to add greater detail of the modified strategy, and a numbering system to track adaptations across the modules. This resulted in identification of 27 adaptations, of which 88.9% focused on supporting practices in identifying eligible patients and referring them to the intervention. About half (52.9%) of the adaptations were made to modify the context of the PF strategy to include a group-based format, add community health workers to the strategy, and to shift the implementation target to nurses. The adaptations were often widespread (83.9%), affecting all practices within the FQHC. While most adaptations were reactive (84.6%), they resulted from a systematic process of reviewing data captured by multiple sources. All adaptations included the FQHC in the decision-making process.
CONCLUSIONS: With modifications, we demonstrate the ability to document our adaptation data across the FRAME-IS modules, attesting to its applicability and value for a range of implementation strategies. Based on our experiences, we recommend refinement of tracking systems to support more nimble and practical documentation of iterative, ongoing, and multifaceted adaptations.
BACKGROUND: Clinicaltrials.gov NCT03713515, Registration date: October 19, 2018.

UNASSIGNED: Although depression is common in primary care, challenges to timely intervention exist, particularly for communities of color and lower socioeconomic status. Our objective was to understand barriers and facilitators to mental healthcare access among a sample of patients receiving care at a federally qualified health center (FQHC) in Minnesota, United States.
UNASSIGNED: We qualitatively interviewed 34 patients of an urban FQHC, purposively sampled on race/ethnicity, insurance status, language, and depression symptom status (based on Patient Health Questionnaire-9 responses). We inductively and deductively analyzed interview data, leveraging theory in both the codebook development and analysis processes.
UNASSIGNED: Participants, who were predominantly English-speaking, female, not privately insured, and people of color, shared numerous barriers and facilitators to accessing mental healthcare. Prominent barriers primarily concerned healthcare providers, including perceived dismissal of mental health concerns and challenges with provider continuity. Additional barriers included the costs of mental health care, communication breakdowns, the patient portal, and community-specific perceptions of mental health. Prominent facilitators included clinic organizational factors (internal and external) and staff friendliness and warmth. Other factors including consideration of patients\' financial situation, integrated management of behavioral and physical health conditions, language concordant staff, the telehealth visit modality, and the clinic\'s social mission were also raised as facilitating access.
UNASSIGNED: Patient voices from a single FQHC illustrate the challenges and possibilities of providing mental healthcare in safety net settings. Clinical, strategy, and policy solutions can be tailored to minimize barriers and optimize facilitators documented herein.

Introduction: Federally Qualified Health Centers (FQHCs) play a crucial role as safety-net primary health care clinics in the United States, serving medically underserved areas and populations. However, eye services are rarely offered at FQHCs. We examined how telemedicine-generated ocular diagnoses impacted vision-targeted health-related quality of life at FQHCs in rural Alabama. Methods: We focused on patients who are at risk for glaucoma. Both visual function and retinal imaging were assessed. The telemedicine vision screening protocol performed by a remote ophthalmologist evaluated eyes for glaucoma, diabetic retinopathy, cataract, age-related macular degeneration, and a measurement of habitual visual acuity. The National Eye Institute Visual Function Questionnaire-9 (VFQ-9) was administered. Results: Using stepwise regression, the best-fitting model for predicting VFQ-9 scores incorporated visual acuity 20/40 or worse, a diabetic retinopathy diagnosis, and sociodemographic variables (gender, transportation, insurance type/status, and employment status). Conclusion: Vision-targeted, health-related quality of life in our FQHC settings was related to the visual acuity impairment and the diagnosis of diabetic retinopathy but was also influenced by a variety of sociodemographic factors.

BACKGROUND: Health care-based food assistance programs show promise but are underutilized. Strict eligibility requirements and program scheduling may dampen reach and outcomes.
OBJECTIVE: To explore factors associated with uptake of a health center-based mobile produce market with no eligibility requirements and few barriers to entry.
METHODS: A cross-sectional analysis of medical record, sociodemographic, environmental, and market attendance data was used.
METHODS: The study sample consisted of 3071 adults (18+ years) who were patients of an urban health center in eastern Massachusetts and registered for the mobile market during the study period of August 2016 to February 2020.
METHODS: The main outcome measure was monthly market attendance over the study period.
METHODS: T-tests and χ2 tests were used to compare market users and never-users. Multiple logistic regression was used to analyze variables associated with market attendance each month.
RESULTS: In multiple variable analyses, Supplemental Nutrition Assistance Program enrollment was associated with slightly less frequent monthly market use (odds ratio [OR], 0.989; 95% CI, 0.984-0.994). Day-of, on-site market registration was associated with more frequent monthly use than self-registration on nonmarket days (OR, 1.08; 95% CI, 1.07-1.08). Having a psychiatric or substance use disorder diagnosis was associated with slightly less frequent market attendance (OR, 0.99; 95% CI, 0.98-0.99; and OR, 0.96; 95% CI, 0.95-0.97, respectively) compared with registrants without these diagnoses.
CONCLUSIONS: Individual, community-level, and organizational factors are associated with uptake of a free mobile produce market and should be considered when designing programs.

UNASSIGNED: Colonoscopy completion rates after an abnormal fecal immunochemical test (FIT) are suboptimal, resulting in missed opportunities for early detection and prevention of colorectal cancer. Patient navigation and structured follow-up may improve colonoscopy completion, but implementation of these strategies is not widespread.
UNASSIGNED: We conducted a quality improvement study using a Plan-Do-Study-Act (PDSA) Model to increase colonoscopy completion after abnormal FIT in a large federally qualified health center serving a diverse and low-income population. Intervention components included patient navigation, and a checklist to promote completion of key steps required for abnormal FIT follow-up. Primary outcome was proportion of patients achieving colonoscopy completion within 6 months of abnormal FIT, assessed at baseline for 156 patients pre-intervention, and compared to 208 patients during the intervention period from April 2017 to December 2019. Drop offs at each step in the follow-up process were assessed.
UNASSIGNED: Colonoscopy completion improved from 21% among 156 patients with abnormal FIT pre-intervention, to 38% among 208 patients with abnormal FIT during the intervention (P < .001; absolute increase: 17%, 95% CI: 6.9%-25.2%). Among the 130 non-completers during the intervention period, lack of completion was attributable to absence of colonoscopy referral for 7.7%; inability to schedule a pre-colonoscopy specialist visit for 71.5%; failure to complete a pre-colonoscopy visit for 2.3%; the absence of colonoscopy scheduling for 9.2%; failure to show for a scheduled colonoscopy for 9.2%.
UNASSIGNED: Patient navigation and structured follow-up appear to improve colonoscopy completion after abnormal FIT. Additional strategies are needed to achieve optimal rates of completion.

Federally Qualified Health Centers are charged with providing comprehensive health care in traditionally underserved areas, underscoring their importance in caring for and promoting health equity for the large portion of historically marginalized communities in this setting. There is a significant need to ensure Federally Qualified Health Centers are equipped to appropriately address the immense behavioral health needs common among patients served. Care coordination is an evidence-based model that is increasingly utilized in Federally Qualified Health Centers to improve care equity and outcomes. Addressing and supporting behavioral health needs is a key aspect of such care coordination models. Context-specific considerations and programmatic supports, particularly those that address the needs of care coordinators and the complex patients they serve, are needed to ensure such models can appropriately meet and address the behavioral health concerns of the diverse populations served. The goal of this study was to present a mixed-methods case study that systematically applies implementation frameworks to conduct a needs and context assessment to inform the development and testing of evidence-based practice strategies and implementation support as part of a care coordination program within a partnered Federally Qualified Health Center.