One-Stop-Shop Cancer Screening Clinic: Acceptability Testing.

Cancer screenings aid in the early detection of cancer and can help reduce cancer-related mortality. The current model of care for cancer screening is often siloed, based on the targeted cancer site. We tested the acceptability of a new model of care, called the One-Stop-Shop Cancer Screening Clinic, that centralizes cancer screenings and offers patients the option to complete all their recommended cancer screenings within one to two visits. We administered surveys to 59 community members and 26 healthcare providers to gather feedback about the One-Stop-Shop model of care. Both community members and providers identified potential benefits (e.g., decreased patient burden, increased completion of cancer screenings) and also potential challenges (e.g., challenges with workflow and timing of care) of the model of care. The results of the study support the acceptability of the model of care. Of the community members surveyed, 89.5% said, if offered, they would be interested in participating in the One-Stop-Shop Cancer Screening Clinic. Future studies are needed to formally evaluate the impact and cost effectiveness of the One-Stop-Shop Cancer Screening Clinic.

Recent Telehealth Utilization at a Large Federally Qualified Health Center System: Evidence of Disparities Even Within Telehealth Modalities.

Objective: To explore overall trends as well as racial/ethnic disparities in utilization of different telehealth modalities (telephone vs. televideo) at federally qualified health centers (FQHCs) during the COVID-19 pandemic. Methods: Using electronic health record data from a large New York-based FQHC system, we aggregated (separately) Behavioral Health and Family Practice visits per month occurring in-person, by telephone, or by televideo and graphed monthly trends in visits across the pre-pandemic, peak-pandemic, and post-peak-pandemic periods. We calculated fractions of visits conducted by modality for each patient demographic (race/ethnicity, primary language, age, gender, insurance type, and geography) and conducted bivariate assessments to test relationships between patient characteristics and modality. Results: Our data contained 121,072 unique patients and 811,105 visits overall. Telehealth use peaked in April 2020 but continued to account for a significant fraction of FQHC visits-nearly 25% (N = 4,908) of monthly Family Practice visits and a massive 98% (N = 14,173) of Behavioral Health visits as late as June 2021. Of all telehealth visits, nearly half were by telephone. Moreover, demographic factors differed between FQHC patients using telephone visits versus those using televideo: Black, non-English speaking, older, and Medicaid patients had significantly higher utilization of telephone visits than televideo visits (e.g., 25.9% of all Black patients' visits were via telephone vs. 17.1% via televideo; p < 0.001). In contrast, younger, Asian, and privately insured patients had significantly higher televideo visits. Conclusions: Our results suggest that telephone visits remain critical to the provision of health care for FQHC patients. They also suggest that disparities extend beyond the telehealth versus in-person dichotomy and inequities exist even within the type of telehealth used. This has implications for patient health, FQHC quality outcomes, as well as optimal Medicaid telehealth reimbursement policy.

Design and rationale of GUARDD-US: A pragmatic, randomized trial of genetic testing for APOL1 and pharmacogenomic predictors of antihypertensive efficacy in patients with hypertension.

RATIONALE AND OBJECTIVE: APOL1 risk alleles are associated with increased cardiovascular and chronic kidney disease (CKD) risk. It is unknown whether knowledge of APOL1 risk status motivates patients and providers to attain recommended blood pressure (BP) targets to reduce cardiovascular disease. STUDY DESIGN: Multicenter, pragmatic, randomized controlled clinical trial. SETTING AND PARTICIPANTS: 6650 individuals with African ancestry and hypertension from 13 health systems. INTERVENTION: APOL1 genotyping with clinical decision support (CDS) results are returned to participants and providers immediately (intervention) or at 6 months (control). A subset of participants are re-randomized to pharmacogenomic testing for relevant antihypertensive medications (pharmacogenomic sub-study). CDS alerts encourage appropriate CKD screening and antihypertensive agent use. OUTCOMES: Blood pressure and surveys are assessed at baseline, 3 and 6 months. The primary outcome is change in systolic BP from enrollment to 3 months in individuals with two APOL1 risk alleles. Secondary outcomes include new diagnoses of CKD, systolic blood pressure at 6 months, diastolic BP, and survey results. The pharmacogenomic sub-study will evaluate the relationship of pharmacogenomic genotype and change in systolic BP between baseline and 3 months. RESULTS: To date, the trial has enrolled 3423 participants. CONCLUSIONS: The effect of patient and provider knowledge of APOL1 genotype on systolic blood pressure has not been well-studied. GUARDD-US addresses whether blood pressure improves when patients and providers have this information. GUARDD-US provides a CDS framework for primary care and specialty clinics to incorporate APOL1 genetic risk and pharmacogenomic prescribing in the electronic health record. TRIAL REGISTRATION: ClinicalTrials.govNCT04191824.

Effects of Testing and Disclosing Ancestry-Specific Genetic Risk for Kidney Failure on Patients and Health Care Professionals: A Randomized Clinical Trial.

IMPORTANCE: Risk variants in the apolipoprotein L1 (APOL1 [OMIM 603743]) gene on chromosome 22 are common in individuals of West African ancestry and confer increased risk of kidney failure for people with African ancestry and hypertension. Whether disclosing APOL1 genetic testing results to patients of African ancestry and their clinicians affects blood pressure, kidney disease screening, or patient behaviors is unknown. OBJECTIVE: To determine the effects of testing and disclosing APOL1 genetic results to patients of African ancestry with hypertension and their clinicians. DESIGN, SETTING, AND PARTICIPANTS: This pragmatic randomized clinical trial randomly assigned 2050 adults of African ancestry with hypertension and without existing chronic kidney disease in 2 US health care systems from November 1, 2014, through November 28, 2016; the final date of follow-up was January 16, 2018. Patients were randomly assigned to undergo immediate (intervention) or delayed (waiting list control group) APOL1 testing in a 7:1 ratio. Statistical analysis was performed from May 1, 2018, to July 31, 2020. INTERVENTIONS: Patients randomly assigned to the intervention group received APOL1 genetic testing results from trained staff; their clinicians received results through clinical decision support in electronic health records. Waiting list control patients received the results after their 12-month follow-up visit. MAIN OUTCOMES AND MEASURES: Coprimary outcomes were the change in 3-month systolic blood pressure and 12-month urine kidney disease screening comparing intervention patients with high-risk APOL1 genotypes and those with low-risk APOL1 genotypes. Secondary outcomes compared these outcomes between intervention group patients with high-risk APOL1 genotypes and controls. Exploratory analyses included psychobehavioral factors. RESULTS: Among 2050 randomly assigned patients (1360 women [66%]; mean [SD] age, 53 [10] years), the baseline mean (SD) systolic blood pressure was significantly higher in patients with high-risk APOL1 genotypes vs those with low-risk APOL1 genotypes and controls (137 [21] vs 134 [19] vs 133 [19] mm Hg; P = .003 for high-risk vs low-risk APOL1 genotypes; P = .001 for high-risk APOL1 genotypes vs controls). At 3 months, the mean (SD) change in systolic blood pressure was significantly greater in patients with high-risk APOL1 genotypes vs those with low-risk APOL1 genotypes (6 [18] vs 3 [18] mm Hg; P = .004) and controls (6 [18] vs 3 [19] mm Hg; P = .01). At 12 months, there was a 12% increase in urine kidney disease testing among patients with high-risk APOL1 genotypes (from 39 of 234 [17%] to 68 of 234 [29%]) vs a 6% increase among those with low-risk APOL1 genotypes (from 278 of 1561 [18%] to 377 of 1561 [24%]; P = .10) and a 7% increase among controls (from 33 of 255 [13%] to 50 of 255 [20%]; P = .01). In response to testing, patients with high-risk APOL1 genotypes reported more changes in lifestyle (a subjective measure that included better dietary and exercise habits; 129 of 218 [59%] vs 547 of 1468 [37%]; P < .001) and increased blood pressure medication use (21 of 218 [10%] vs 68 of 1468 [5%]; P = .005) vs those with low-risk APOL1 genotypes; 1631 of 1686 (97%) declared they would get tested again. CONCLUSIONS AND RELEVANCE: In this randomized clinical trial, disclosing APOL1 genetic testing results to patients of African ancestry with hypertension and their clinicians was associated with a greater reduction in systolic blood pressure, increased kidney disease screening, and positive self-reported behavior changes in those with high-risk genotypes. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02234063.

Pediatric Blood Lead Levels Within New York City Public Versus Private Housing, 2003-2017.

Objectives. To compare blood lead levels (BLLs) among children residing in public and private housing in New York City and examine the implications for lead identification and remediation policies. Methods. We examined electronic medical records for BLLs among 4693 children receiving care at a multisite Federally Qualified Health Center during 2003 to 2017. We plotted home addresses against city housing data to assess BLL differences between children living in public housing and private housing. Results. Only 0.25% of children residing in public housing had BLLs exceeding the upper reference limit of 5 micrograms per deciliter, as compared with 2.76% of children residing in private housing. After adjustment for age, gender, and race/ethnicity, public housing was associated with 92% lower odds of having a BLL of 5 micrograms per deciliter or above (odds ratio [OR] = 0.08; 95% confidence interval [CI] = 0.02, 0.33; P = .001). Decreases in BLLs were observed in both public and private housing over time. Conclusions. Children living in public housing in New York City were significantly less likely to have elevated BLLs than were children living in private housing. Decreases in BLLs over time were likely a result of lead reduction legislation.

A Framework for Addressing Diabetes-Related Disparities in US Latino Populations.

Despite national efforts to redress racial/ethnic disparities, Latino Americans continue to share a disproportionate burden of diabetes-related morbidity and mortality. A better understanding of underlying causes and influencing factors is needed to guide future efforts to eliminate racial/ethnic disparities in diabetes control. The objectives of this review are: (1) to summarize our understanding of determinants and modifiable predictors of glycemic control; (2) to provide an overview of existing strategies to reduce diabetes-related disparities; and (3) to identify gaps in the literature regarding whether these interventions effectively address disparities in US Latino populations. Key findings include evidence that diabetes care services can be designed to accommodate heterogeneity within the Latino American community by addressing key modifiable predictors of poor glycemic control, including insurance status, diabetes care utilization, patient self-management, language access, culturally appropriate care, and social support services. Future research efforts should evaluate the effect of structurally tailored interventions that address these key modifiable predictors by targeting patients, providers, and health care delivery systems.

Using Enhanced Primary Care Services in High-risk Latino Populations to Reduce Disparities in Glycemic Control.

OBJECTIVE: To determine whether enhanced primary care services delivered preferentially to high-risk patients with diabetes (HbA1c >9%) can effectively reduce racial/ethnic disparities in glycemic control. METHODS: This retrospective study analyzed electronic health records to examine changes in pre-vs. post-intervention disparities in HbA1c among Hispanics/Latinos relative to non-Hispanic Whites. RESULTS: Mean HbA1c and prevalence of poorly controlled diabetes improved in both racial/ethnic groups, but to a greater extent among Hispanics/Latinos. Mean HbA1c dropped 0.43 points further among Hispanics/Latinos than non-Hispanic Whites (95% CI, - 0.57 to - 0.29, p<.001). The change in disparity in prevalence of poorly controlled diabetes, measured as the ratio of post-vs. pre-intervention prevalence ratios, was 0.89 (95% CI, 0.84 to 0.94, p<.001). Both measures indicated greater reduction among Hispanics/Latinos relative to non-Hispanic Whites. DISCUSSION: Enhanced primary care services directed at high-risk patients may improve glycemic control and reduce racial/ethnic disparities in diabetes-related outcomes in medically underserved communities.

A risk-based intervention approach to eliminate diabetes health disparities.

Type 2 diabetes plays a major role in racial/ethnic health disparities. We conducted the first study to examine whether multifaceted interventions targeting patients with poorly controlled diabetes (HgbA1c >9%) can reduce racial/ethnic disparities in diabetes control. Among 4595 patients with diabetes at a Federally Qualified Health Center in New York, a higher percentage of blacks (32%) and Hispanics/Latinos (32%) had poorly controlled diabetes than whites (25%) at baseline (prevalence ratio, 1.28; 95% CI, 1.14-1.43; P<0.001). After four years, this percentage was reduced in all groups (blacks, 21%; Hispanics/Latinos, 20%; whites, 20%; P<0.001 for each relative to baseline). Disparities in diabetes control also were significantly reduced (change in disparity relative to whites: blacks, P=0.03; Hispanics/Latinos, P=0.008). In this diverse population, interventions targeting patients with poorly controlled diabetes not only improved diabetes control in all racial/ethnic groups, but significantly reduced disparities. This approach warrants further testing and may help reduce disparities in other populations.

Implementation of Care Management: An Analysis of Recent AHRQ Research.

Care management (CM) is a promising team-based, patient-centered approach "designed to assist patients and their support systems in managing medical conditions more effectively." As little is known about its implementation, this article describes CM implementation and associated lessons from 12 Agency for Healthcare Research and Quality-sponsored projects. Two rounds of data collection resulted in project-specific narratives that were analyzed using an iterative approach analogous to framework analysis. Informants also participated as coauthors. Variation emerged across practices and over time regarding CM services provided, personnel delivering these services, target populations, and setting(s). Successful implementation was characterized by resource availability (both monetary and nonmonetary), identifying as well as training employees with the right technical expertise and interpersonal skills, and embedding CM within practices. Our findings facilitate future context-specific implementation of CM within medical homes. They also inform the development of medical home recognition programs that anticipate and allow for contextual variation.

The IGNITE network: a model for genomic medicine implementation and research.

BACKGROUND: Patients, clinicians, researchers and payers are seeking to understand the value of using genomic information (as reflected by genotyping, sequencing, family history or other data) to inform clinical decision-making. However, challenges exist to widespread clinical implementation of genomic medicine, a prerequisite for developing evidence of its real-world utility. METHODS: To address these challenges, the National Institutes of Health-funded IGNITE (Implementing GeNomics In pracTicE; www.ignite-genomics.org ) Network, comprised of six projects and a coordinating center, was established in 2013 to support the development, investigation and dissemination of genomic medicine practice models that seamlessly integrate genomic data into the electronic health record and that deploy tools for point of care decision making. IGNITE site projects are aligned in their purpose of testing these models, but individual projects vary in scope and design, including exploring genetic markers for disease risk prediction and prevention, developing tools for using family history data, incorporating pharmacogenomic data into clinical care, refining disease diagnosis using sequence-based mutation discovery, and creating novel educational approaches. RESULTS: This paper describes the IGNITE Network and member projects, including network structure, collaborative initiatives, clinical decision support strategies, methods for return of genomic test results, and educational initiatives for patients and providers. Clinical and outcomes data from individual sites and network-wide projects are anticipated to begin being published over the next few years. CONCLUSIONS: The IGNITE Network is an innovative series of projects and pilot demonstrations aiming to enhance translation of validated actionable genomic information into clinical settings and develop and use measures of outcome in response to genome-based clinical interventions using a pragmatic framework to provide early data and proofs of concept on the utility of these interventions. Through these efforts and collaboration with other stakeholders, IGNITE is poised to have a significant impact on the acceleration of genomic information into medical practice.

Expanding access to high-quality plain-language patient education information through context-specific hyperlinks.

Medical records, which are increasingly directly accessible to patients, contain highly technical terms unfamiliar to many patients. A federally qualified health center (FQHC) sought to help patients interpret their records by embedding context-specific hyperlinks to plain-language patient education materials in its portal. We assessed the impact of this innovation through a 3-year retrospective cohort study. A total of 12,877 (10% of all patients) in this safety net population had used the MPC links. Black patients, Latino patients comfortable using English, and patients covered by Medicaid were more likely to use the informational hyperlinks than other patients. The positive association with black race and Latino ethnicity remained statistically significant in multivariable models that controlled for insurance type. We conclude that many of the sociodemographic factors associated with the digital divide do not present barriers to accessing context-specific patient education information once in the portal. In fact, this type of highly convenient plain-language patient education may provide particular value to patients in traditionally disadvantaged groups.

ENHANCING COMMUNITY HEALTH BY IMPROVING PHYSICIAN PARTICIPATION.

Leading medical associations have called for renewed standards of medical professionalism, including stronger public advocacy, a commitment to social justice in health care, and greater community engagement. New strategies are needed to enhance community participation among physicians, which can improve public trust in the medical profession and contribute needed expertise and teamwork to matters of community health. One strategy is to incorporate community participation and leadership in medical training through community-based organization (CBO) placement of residents. We describe a model CBO placement program within a family medicine residency in Harlem, New York City. This program enables residents to partner with organizations that address social, political, economic, and environmental determinants of health in underserved populations, and to assume leadership roles in community health activities. Broader implementation of this model in other settings, both urban and rural, can enhance community participation by physicians within a sustainable framework, and promote medical professionalism and community health.

Electronic Health Records: Optimizing Communication to Support the Nonverbal Medical Patient With Developmental Disabilities.

BACKGROUND: A comprehensive look at health status in developmentally disabled populations shows poorer physical, oral, and vision health, and higher rates of heart disease and obesity. Generally, individuals with developmental disabilities have difficulty locating able providers, and face significant barriers in accessing health services. The health care system's failure to achieve effective collaboration between medical, mental health, and residential providers too often results in substandard care and poor outcomes for these populations. METHODS: A creative partnership between two organizations in rural upstate New York, Ulster Green ARC and the Institute for Family Health, has made substantial inroads toward addressing this problem. The organizations have transformed a relationship borne of a financially failing health care model into a successful, comprehensive care network for a severely developmentally disabled population-based in a Federally Qualified Health Center. CONCLUSIONS: The success of this effort is largely owing to an innovative use of health information technology to share information.

Health, community, and spirituality: evaluation of a multicultural faith-based diabetes prevention program.

PURPOSE: The purpose of this study was to evaluate Fine, Fit, and Fabulous (FFF), a faith-based diabetes prevention program for black and Latino congregants at churches in low-income New York City neighborhoods. FFF includes nutrition education and fitness activities while incorporating Bible-based teachings that encourage healthy lifestyles. METHODS: FFF is a 12-week, bilingual program developed by the Bronx Health REACH coalition, a Centers for Disease Control and Prevention-funded Center of Excellence for the Elimination of Disparities. This program has been implemented in 15 Bronx and Harlem churches, engaging a primarily black and Latino overweight and obese urban population. Pre-post surveys, nutrition tests, and weight logs were collected to assess knowledge, attitudes, and behaviors regarding healthy eating and physical activity. RESULTS: Participants (n = 183) reported statistically significant improvements in knowledge and healthy behaviors from baseline. Increased numbers of participants reported exercising in the past 30 days, eating fruit daily, being able to judge portion sizes, and reading food labels. Statistically significant numbers reported that they ate less fast food and were less likely to overeat at follow-up. The average weight loss across churches was 4.38 lbs or 2% of participants' initial body weight. Significant differences were observed when stratifying by race/ethnicity. CONCLUSION: Evaluation results show FFF's success at engaging overweight adults in behavior changes related to healthy eating and exercise. FFF demonstrates the potential of faith-based health interventions to address obesity and diabetes risk in high-need communities of color.

Effect of an electronic alert on treatment of skin and soft tissue infections.

This is a prospective intervention study conducted between 2007 and 2011 to evaluate whether an electronic alert can influence provider practice in treatment of skin and soft tissue infections (SSTIs). A best-practice alert (BPA) was programmed to appear for intervention ICD-9 SSTI diagnoses. Controls were patients who had other SSTI ICD-9 codes where the BPA was not programmed to fire. Rate of culture taken in patients was compared between patients in the intervention and control groups. We found that cultures were taken among 13.5% of the intervention group and 5.4% of the control group (p <.0001). A logistic regression analysis controlling for covariates showed the odds of the intervention group having a culture taken was 2.6 times that of the control group. The results of this study support the use of BPAs for improving the management of SSTIs.

Implementing Institute of Medicine recommendations on collection of patient race, ethnicity, and language data in a community health center.

The Institute for Family Health is one of the first health care organizations to implement the 2009 Institute of Medicine recommendations on collection of patient race, ethnicity, and language data as a means of identifying and addressing health disparities. This paper describes the implementation process and lessons learned from the project.

Becoming a patient-centered medical home: a 9-year transition for a network of Federally Qualified Health Centers.

PURPOSE: The patient-centered medical home (PCMH) model has great potential for optimizing the care of chronically ill patients, yet there is much to be learned about various implementations of this model and their impact on patient care processes and outcomes. METHODS: We examined changes in patterns of health care use in a network of Federally Qualified Health Centers throughout a 9-year period of practice transformation that included recognition of all centers by the National Committee for Quality Assurance (NCQA) as Level 3 PCMH practices. We analyzed deidentified data from electronic health records for the period 2003 to 2011 to identify patterns of service use for all 4,595 patients with diabetes. We also examined a subsample of 545 patients who were in care throughout the study period to track improvement in glycated hemoglobin levels as a clinical measure over time. RESULTS: Through the transition to a PCMH, the mean number of encounters with outreach, diabetes educators, and psychosocial services increased for all diabetic patients; virtually all patients had visits with a primary care clinician, but the mean number of visits decreased slightly. Among patients in the subsample, mean annual levels of glycated hemoglobin decreased steadily during the 9-year study period, mainly driven by a reduction in patients having baseline levels exceeding 9%. CONCLUSIONS: This retrospective study conducted in a real-world setting using electronic health record data demonstrates a shift in resource use by diabetic patients from the primary care clinician to other members of the care team. The findings suggest that PCMH implementation has the potential to alter processes of care and improve outcomes of care, especially among those with higher disease burden.

Evaluation of a pilot respiratory virus surveillance system linking electronic health record and diagnostic data.

CONTEXT: During the onset of 2009 pandemic influenza A (H1N1) (pH1N1), the New York City Department of Health and Mental Hygiene implemented a pilot respiratory virus surveillance system. OBJECTIVES: We evaluated the performance of this pilot system, which linked electronic health record (EHR) clinical, epidemiologic, and diagnostic data to monitor influenza-like illness (ILI) in the community. DESIGN: Surveillance was conducted at 9 community health centers with EHRs. Clinical decision support system alerts encouraged diagnostic testing of patients. Rapid influenza diagnostic testing (RIDT) and multiplex polymerase chain reaction assay (MassTag PCR) were performed sequentially. SETTING: Nine Institute for Family Health (IFH) clinics in Manhattan and the Bronx during May 26 to June 30, 2009, the pH1N1 outbreak peak. PARTICIPANTS: Adult and pediatric patients presenting to IFH clinics during May 26 to June 30, 2009. MAIN OUTCOME MEASURES: By using Centers for Disease Control and Prevention guidelines, we evaluated the system's completeness, sensitivity, timeliness, and epidemiologic usefulness. RESULTS: Of 537 ILI visits (5.7% of all visits), 17% underwent diagnostic testing. Of the 132 specimens with both a RIDT and MassTag PCR result, 90 (68%) had a MassTag PCR-identified respiratory virus, most commonly pH1N1 (n = 69; 77%). Of the 81 specimens that met the ILI case definition, 58 (72%) were positive for a respiratory virus tested for by MassTag PCR; 48 (59%) were positive for pH1N1. Ninety-four percent of ILI patients positive for pH1N1 were 45 years or younger. Sensitivity and specificity of RIDT (29% and 94%) and ILI case definition (70% and 48%) for pH1N1 were calculated using MassTag PCR as the standard. Results of RIDT took a median of 6 days. CONCLUSIONS: Despite low RIDT sensitivity for pH1N1 and limited timeliness, integration of EHR and diagnostic data has potential to provide valuable epidemiologic information, guide public health response, and represents a new model for community surveillance for influenza and respiratory viruses.