Centering and collaborating with community knowledge systems: piloting a novel participatory modeling approach.

BACKGROUND: Systems science approaches like simulation modeling can offer an opportunity for community voice to shape policies. In the episteme of many communities there are elders, leaders, and researchers who are seen as bearers of historic knowledge and can contextualize and interpret contemporary research using knowledge systems of the community. There is a need for a systematic methodology to collaborate with community Knowledge Bearers and Knowledge Interpreters. In this paper we report the results of piloting a systematic methodology for collaborating with a community Knowledge-Bearer and Knowledge-Interpreter to develop a conceptual model revealing the local-level influences and architecture of systems shaping community realities. The use case for this pilot is 'persistent poverty' in the United States, specifically within the inner-city African American community in Baltimore City. METHODS: This pilot of a participatory modeling approach was conducted over a span of 7 sessions and included the following steps, each with an associated script: Step 1: Knowledge-Bearer and Knowledge-Interpreter recruitment Step 2: Relationship building Step 3: Session introduction, Vignette development & enrichment Step 4: Vignette analysis & constructing architecture of systems map Step 5: Augmenting architecture of systems map RESULTS: Each step of the participatory modeling approach resulted in artifacts that were valuable for both the communities and the research effort. Vignette construction resulted in narratives representing a spectrum of lived experiences, trajectories, and outcomes within a community. The collaborative analysis of vignettes yielded the Architecture of Systemic Factors map, that revealed how factors inter-relate to form a system in which lived experience of poverty occurs. A literature search provided an opportunity for the community to contextualize existing research about them using realities of lived experience. CONCLUSION: This methodology showed that a community Knowledge Bearer can function as communicators and interpreters of their community's knowledge base, can develop coherent narratives of lived experiences within which research and knowledge is contextualized, and can collaboratively construct conceptual mappings necessary for simulation modeling. This participatory modeling approach showed that even if there already exists a vast body of research about a community, collaborating with community gives context to that research and brings together disparate findings within narratives of lived experience.

Pathophysiologic Basis of Connected Health Systems.

Since the start of the COVID-19 pandemic, there has been a rapid transition to telehealth across the United States, primarily involving virtual clinic visits. Additionally, the proliferation of consumer technologies related to health reveals that for many people health and care in the contemporary world extends beyond the boundaries of a clinical interaction and includes sensors and devices that facilitate health in personal environments. The ideal connected environment is networked and intelligent, personalized to promote health and prevent disease. The combination of sensors, devices, and intelligence constitutes a connected health system around an individual that is optimized to improve and maintain health, deliver care, and predict and reduce risk of illness. Just as modern medicine uses the pathophysiology of disease as a framework for the basis of pharmacologic therapy, a similar clinically reasoned approach can be taken to organize and architect technological elements into therapeutic systems. In this work, we introduce a systematic methodology for the design of connected health systems grounded in the pathophysiologic basis of disease. As the digital landscape expands with the ubiquity of health devices, it is pivotal to enable technology-agnostic clinical reasoning to guide the integration of technological innovations into systems of health and care delivery that extend beyond the boundaries of a clinical interaction. Applying clinical reasoning in a repeatable and systematic way to organizing technology into therapeutic systems can yield potential benefits including expanding the study of digital therapeutics from individual devices to networked technologies as therapeutic interventions; empowering physicians who are not technological experts to still play a significant role in using clinical reasoning for architecting therapeutic networks of sensors and devices; and developing platforms to catalog and share combinations of technologies that can form therapeutic networks and connected health systems.

Global uses of traditional herbs for hepatic diseases and other pharmacological actions: A comprehensive review.

Hepatocellular carcinoma (HCC) is the 7th most common cancer and the 3rd leading cause of cancer-related death worldwide. It is resistant to the majority of chemotherapeutics and has a dismal prognosis. Hepatocellular carcinoma is a prevalent complication of chronic liver disease (CLD) in India. Primary liver cancer is the 6th most common cancer worldwide and the 4th most prevalent cause of cancer-related death. In 2018, it affected 841,000 people and caused 782,000 deaths around the world. Thus, research into the tumor cycle and its prevention through suitable herbal (Unani/Ayurvedic) medication is critical for reducing the impact of primary liver cancer. Treatment options for end-stage liver cancer are limited, necessitating costly liver transplantation, which is unavailable in most countries. Here, we present the results of a comprehensive literature survey to determine the benefits of using various herbs with liver protective and antioxidant properties. This information will be useful to researchers working on liver carcinoma and free radical scavenging, both of which are important in curbing potential carcinogens.

Internet Access, Social Risk Factors, and Web-Based Social Support Seeking Behavior: Assessing Correlates of the "Digital Divide" Across Neighborhoods in The State of Maryland.

We aimed to empirically measure the degree to which there is a "digital divide" in terms of access to the internet at the small-area community level within the State of Maryland and the City of Baltimore and to assess the relationship and association of this divide with community-level SDOH risk factors, community-based social service agency location, and web-mediated support service seeking behavior. To assess the socio-economic characteristics of the neighborhoods across the state, we calculated the Area Deprivation Index (ADI) using the U.S. Census, American Community Survey (5-year estimates) of 2017. To assess the digital divide, at the community level, we used the Federal Communications Commission (FCC) data on the number of residential fixed Internet access service connections. We assessed the availability of and web-based access to community-based social service agencies using data provided by the "Aunt Bertha" information platform. We performed community and regional level descriptive and special analyses for ADI social risk factors, connectivity, and both the availability of and web-based searches for community-based social services. To help assess potential neighborhood linked factors associated with the rates of web-based social services searches by individuals in need, we applied logistic regression using generalized estimating equation modeling. Baltimore City contained more disadvantaged neighborhoods compared to other areas in Maryland. In Baltimore City, 20.3% of neighborhoods (defined by census block groups) were disadvantaged with ADI at the 90th percentile while only 6.6% of block groups across Maryland were in this disadvantaged category. Across the State, more than half of all census tracts had 801-1000 households (per 1000 households) with internet subscription. In contrast, in Baltimore City about half of all census tracts had only 401-600 of the households (per 1000 households) with internet subscriptions. Most block groups in Maryland and Baltimore City lacked access to social services facilities (61% of block groups at the 90th percentile of disadvantage in Maryland and 61.3% of block groups at the 90th percentile of disadvantage in Baltimore City). After adjusting for other variables, a 1% increase in the ADI measure of social disadvantage, resulting in a 1.7% increase in the number of individuals seeking social services. While more work is needed, our findings support the premise that the digital divide is closely associated with other SDOH factors. The policymakers must propose policies to address the digital divide on a national level and also in disadvantaged communities experiencing the digital divide in addition to other SDOH challenges.

Feasibility of and Experience with Free State Funded Telehealth Based Patient Self-referral for COVID-19 Monoclonal Antibody Therapy.

BACKGROUND: Monoclonal antibody (mAb) treatment for COVID-19 has been underutilized due to logistical challenges, lack of access and variable treatment awareness among patients and healthcare professionals. The use of telehealth during the pandemic provides an opportunity to increase access to COVID-19 care. METHODS: This is a single-center descriptive study of telehealth-based patient self-referral for mAb therapy between March 1, 2021, to October 31, 2021 at Baltimore Convention Center Field Hospital (BCCFH). RESULTS: Among the 1001 self-referral patients, the mean age was 47, and most were female (57%) white (66%), and had a primary care provider (62%). During the study period, self-referrals increased from 14 per month in March to 427 in October resulting in a 30-fold increase. About 57% of self-referred patients received a telehealth visit, and of those 82% of patients received mAb infusion therapy. The median time from self-referral to onsite infusion was 2 days (1-3 IQR). DISCUSSION: Our study shows the integration of telehealth with a self-referral process improved access to mAb infusion. A high proportion of self-referrals were appropriate and led to timely treatment. This approach helped those without traditional avenues for care and avoided potential delay for patients seeking referral from their PCPs.

The association between glaucoma and immunoglobulin E antibody response to indoor allergens.

PURPOSE: To evaluate the association between sensitization to indoor allergens and glaucoma in participants of the National Health and Nutrition Examination Survey (NHANES). DESIGN: Retrospective cross-sectional study. METHODS: This study examined the association between serum immunoglobulin E (IgE) levels for a panel of common indoor allergens and glaucoma for 2005-2006 NHANES participants. The exposures of interest were serum IgE levels to a panel of common indoor allergens. The outcome of interest was a clinical diagnosis of glaucoma based on the Rotterdam criteria. Logistic regression modeling was performed to assess the association between each type of IgE and glaucoma, while controlling for age, ethnicity, and steroid use. All estimates were weighted based on the multistage NHANES sampling design. RESULTS: Among a weighted total of 83 308 318 participants, the overall prevalence of glaucoma was 3.2% (95% confidence interval [CI]: 2.8%, 3.6%). The majority of patients were non-Hispanic white (n = 10 547 654; 77.1%). The American dust mite antigen had the highest proportion of participants with positive IgE values (n = 12 093 038; 14.5%). In the full model including all allergen-specific IgE subtypes as predictors, there were statistically significant associations between IgE subtypes and glaucoma for the cockroach (odds ratio [OR] = 2.78; 95% CI = 1.34, 5.76), cat (OR = 3.42; 95% CI = 1.10, 10.67), and dog (OR = 0.24; 95% CI = 0.06, 0.96) antigens. CONCLUSIONS: In NHANES, participants with glaucoma had significantly higher odds of sensitization to the cockroach and cat allergens compared to those without glaucoma. These findings indicate the need for further research to elucidate the role of chronic indoor allergen exposure in the development of glaucomatous optic neuropathy.

Burden of undetected and untreated glaucoma in the United States.

PURPOSE: To determine the burden of undetected and untreated glaucoma in the noninstitutionalized population over the age of 40 years in the United States of America (US). DESIGN: Cross-sectional study. METHODS: setting: US civilian, noninstitutionalized population from the 2005-2006 and 2007-2008 administrations of the National Health and Nutrition Examination Survey that were 40 years old or older with completed retinal photographs, completed interview question regarding prior diagnosis of glaucoma, and a negative response to questions regarding comorbidities. main outcome measures: Prevalence of self-reported glaucoma history; signs of glaucoma damage seen in retinal photographs and perimetry; prevalence of undiagnosed glaucoma; and comparison of demographic factors using odds ratios to identify populations with highest burden of previously undiagnosed glaucoma. RESULTS: The study population included 3850 participants who met the inclusion criteria. The 99.5th percentile of the vertical cup-to-disc ratio was 0.67 and the 99.5th percentile of the vertical cup-to-disc ratio asymmetry between eyes was 0.26. Prevalence of undiagnosed glaucoma was 2.9%, increasing with age to 6.6% of the population over 70 years old. Among those with glaucoma, 78% were previously undiagnosed and untreated. Blacks have roughly 4.4 times (95% confidence interval [CI]: 2.9-6.7; P < .0001) and Hispanics have roughly 2.5 times (95%CI: 1.5-4.3; P = .0012) greater odds of having undiagnosed and untreated glaucoma than non-Hispanic whites. CONCLUSIONS: Approximately 2.4 million persons in the US have undetected and untreated glaucoma. Overall, prevalence of both diagnosed and undiagnosed glaucoma is much higher in minorities and the elderly. Among those with definite glaucoma, individuals younger than 60 years of age have a greater proportion of undetected disease.

Parent-reported quality of preventive care for children at-risk for developmental delay.

OBJECTIVE: To compare preventive care quality for children at risk and not at risk for developmental, behavioral, or social delays. METHODS: Using the 2007 National Survey of Children's Health (n = 22,269), we used the Parents' Evaluation of Developmental Status (PEDS) questionnaire to identify children ages 10 months to 5 years who were at risk for delays. We examined parent-reported quality measures to evaluate whether care was comprehensive, coordinated, family-centered, effective in providing developmental surveillance and screening, and provided within a medical home. Bivariate and multivariate analyses were used. RESULTS: Twenty-eight percent of children were at-risk for delay, with 17% at moderate risk and 11% at high risk. Greater proportions of children at high, moderate, and no/low risk had a usual source of care (89%-96%) and a personal doctor/nurse (91%-94%); smaller proportions of children underwent a standardized developmental screening (16%-23%) and had parental developmental concerns elicited from their doctor (47%-48%). In adjusted analyses, moderate-risk and high-risk children were less likely than no/low-risk children to receive needed care coordination (adjusted odds ratio [AOR] for high risk 0.33, 95% confidence interval [95% CI] 0.24-0.46) and referrals (high risk AOR 0.40, 95% CI 0.25-0.65), family-centered care (high-risk AOR 0.47, 95% CI 0.36-0.62), and to have a medical home (high-risk AOR 0.41, 95% CI 0.32-0.54). CONCLUSIONS: Our findings may reflect either poorer quality of care provided to at-risk children, or higher level of parental need that routine visits are not currently meeting. For at-risk children, enhanced screening and detection followed by targeted increases in communication and follow-up may help clinicians better anticipate families' needs.