“Improper linear models” (see Dawes, Am. Psychol. 34:571–582, 1979), such as equal weighting, have garnered interest as alternatives to standard regression models. We analyze the general circumstances under which these models perform well by recasting a class of “improper” linear models as “proper” statistical models with a single predictor. We derive the upper bound on the mean squared error of this estimator and demonstrate that it has less variance than ordinary least squares estimates. We examine common choices of the weighting vector used in the literature, e.g., single variable heuristics and equal weighting, and illustrate their performance in various test cases.

Inequalities in terms of who participates in politics yield policy outcomes that fail to reflect the interests of the broader public. Because these processes fail to engage the full citizenry in political decision-making processes, they are also markers of an anemic civic culture. Advocates of participatory budgeting (PB) – a process implemented at the subnational level in thousands of cities in the United States and beyond that invites residents to participate directly in the process of allocating public resources for local projects – argue that it can alleviate these inequalities. They argue that features of the PB process make it ripe for engaging new participants in the political process and weaving a more inclusive social fabric. We examine the correlates of interest in participating in PB using a survey of Cook County residents. We also consider the extent to which the policy priorities of those who are interested in participating diverge from those who are less interested. Although we find evidence that the process is particularly appealing to younger respondents and those who identify as Latine or Black (as opposed to White), we also find that interest is higher among those with higher socioeconomic status and those who perceive conditions in their neighborhood to already be good. Our evidence also suggests that inequalities in who is interested in participating may not radically affect policy outcomes. However, those who decline to participate cannot reap the broader social and political benefits advocates hope the PB process can foster.

Background: Blood cultures are a fundamental tool in the diagnosis of infections, but they can lead to clinical confusion and waste resources when they yield false results. To optimize blood-culture orders at our institution, we developed an evidence-based clinical guideline (Fig. 1) to be used by frontline providers on nonneutropenic hospitalized adult inpatients. We retrospectively reviewed charts of patients with positive blood cultures to evaluate whether frontline providers and infectious diseases (ID) attending physicians were able to consistently interpret the guidelines to determine whether blood cultures were drawn appropriately. Methods: In total, 95 nonneutropenic adults with an initial positive blood culture collected while on an inpatient unit were identified through a query of the electronic medical record from January 2021 through June 2022. Patients with polymicrobial bacteremia and bacteremia due to Enterococcus, Streptococcus, and gram-positive rods were excluded. Moreover, 4 medical resident physicians reviewed all patients and 2 ID attending physicians reviewed one-quarter of cases; all were blinded to the culture results. Blood cultures were determined to be either appropriately or inappropriately performed based on our institution’s guideline. The free-marginal multirater κ statistics with 95% CIs were calculated to evaluate interrater agreement. Results: Baseline patient demographics are shown in Table 1. Immune compromise without neutropenia was noted in 21 of 95 patients. Most patients were at high risk for bacteremia (72%) per our institutional guideline, most of whom were septic (67.7%). Low risk for bacteremia was found in only 12.3% of reviews. Medical resident physicians, ID attending physicians, and all reviewers combined agreed on whether blood cultures were drawn appropriately or inappropriately (84.2%, 92%, and 86.4% agreement rates, respectively). The free-marginal κ statistic was highest for ID attending physicians (0.84; 95% CI, 0.62–0.78), followed by attending physicians and resident physicians combined (0.73; 95% CI, 0.56–0.90), and resident physicians alone (0.68; 95% CI, 0.58–0.78). In the 21 patients with immune compromise, the agreement rates on blood culture appropriateness remained high among all reviewers, resident physicians, and ID attending physicians were 86.6%, 90.5%, and 95%, respectively. Conclusions: In our retrospective study of nonneutropenic hospitalized adult inpatients, frontline providers and ID attending physicians interpreted blood-culture guidelines consistently, largely agreeing on which patients had cultures drawn appropriately. Agreement among ID attending physicians was excellent and remained substantial among medical resident physicians. Guidelines on the appropriate use of blood cultures are vital to limiting unnecessarily collected cultures, which can lead to extended length of stay and increase cost across hospital systems. Further analyses on the clinical impact of this guideline are ongoing.

Disclosures: None

The U.S. Department of Agriculture–Agricultural Research Service (USDA-ARS) has been a leader in weed science research covering topics ranging from the development and use of integrated weed management (IWM) tactics to basic mechanistic studies, including biotic resistance of desirable plant communities and herbicide resistance. ARS weed scientists have worked in agricultural and natural ecosystems, including agronomic and horticultural crops, pastures, forests, wild lands, aquatic habitats, wetlands, and riparian areas. Through strong partnerships with academia, state agencies, private industry, and numerous federal programs, ARS weed scientists have made contributions to discoveries in the newest fields of robotics and genetics, as well as the traditional and fundamental subjects of weed–crop competition and physiology and integration of weed control tactics and practices. Weed science at ARS is often overshadowed by other research topics; thus, few are aware of the long history of ARS weed science and its important contributions. This review is the result of a symposium held at the Weed Science Society of America’s 62nd Annual Meeting in 2022 that included 10 separate presentations in a virtual Weed Science Webinar Series. The overarching themes of management tactics (IWM, biological control, and automation), basic mechanisms (competition, invasive plant genetics, and herbicide resistance), and ecosystem impacts (invasive plant spread, climate change, conservation, and restoration) represent core ARS weed science research that is dynamic and efficacious and has been a significant component of the agency’s national and international efforts. This review highlights current studies and future directions that exemplify the science and collaborative relationships both within and outside ARS. Given the constraints of weeds and invasive plants on all aspects of food, feed, and fiber systems, there is an acknowledged need to face new challenges, including agriculture and natural resources sustainability, economic resilience and reliability, and societal health and well-being.

OBJECTIVES/GOALS: Community Engagement Advisory Boards (CEAB) serve as a vital resource for engaging and partnering with communities in research. The purpose of this project is to describe the perspectives of members of a long-standing CEAB in providing input and promoting research that aligns with the needs, experiences, and concerns of the communities they represent METHODS/STUDY POPULATION: Three 90-minute focus groups were conducted with a subset of a CEAB(n=17)(M years spent with CEAB =7.3) affiliated with the Center for Clinical and Translational Science at the University of Illinois-Chicago. Members areas of expertise include perspectives from faith-based organizations, community organizing, public health and working with diverse populations. Transcribed audio recordings of the focus groups were coded using thematic analysis wherein two authors coded independently, followed by audited discussion and final consensus codes. Main themes were identified after reviewing final codes. RESULTS/ANTICIPATED RESULTS: CEAB members described the bi-directional nature of their role serving as a conduit between research institutions and their communities, identified strategies to promote research literacy in communities, called for researchers to take a proactive approach in forming and sustaining community partnerships, and helped identify opportunities to promote community engagement in more creative and feasible ways. Additionally, CEAB members identified perceived opportunities for the board as a whole to be more involved in Chicago communities to further their role as a liaison between the university and the community. DISCUSSION/SIGNIFICANCE: These findings may have implications for investigators to better address community priorities in research by understanding unique local realities as well as help other CTSA hubs’ to leverage their communities’ expertise.

OBJECTIVES/GOALS: CTSIs around the country rely on Community Engagement Advisory Boards (CEABs) to bridge research and communities. The history of this 22-year-old board offers insight on 1) how it was created and has been sustained over time 2) its evolution, and 3) members’views of their contributions to translational research at UIC. METHODS/STUDY POPULATION: As founding members began to step down from this long-standing board, we started to document its history and members’ narratives and perspectives of the work conducted at UIC since its inception. Using an Oral History methodology, we conducted three virtual focus groups with 13 short and long-term members (n=6, n=4, n=3) to learn about changes within CEAB and in members’ roles, and individual semi-structured interviews with three long-standing members to expand on the origin and evolution of CEAB. Focus group data was coded and analyzed. We also extracted data on key events from archived files including grant proposals and CEAB meeting notes. A steering committee of three CEAB members helped guide this process. RESULTS/ANTICIPATED RESULTS: The CEAB was founded at the UIC College of Nursing in 2001 under the Center for Research on Cardiovascular Respiratory Health, with a grant from the National Institutes of Nursing Research (NINR). It was established as college-wide advisory board of community experts to help engage underserved communities and to contribute to research beyond recruitment and retention. In 2009, upon receipt of a Clinical Translational Science award that established the Center for Clinical Translational Science (CCTS), the CEAB became a campus-wide board. Over 30 community organizations and many non-affiliated community members have contributed to translational research at UIC throughout the board’s history. DISCUSSION/SIGNIFICANCE: Over twenty years later, the CEAB continues to help bridge researchers and communities, and to raise awareness about community needs, the importance of cultural relevance, and the inclusion of underserved communities in research. Long-term members have played a key role in providing continuity over the years.

The coronavirus disease 2019 (COVID-19) pandemic highlighted the lack of agreement regarding the definition of aerosol-generating procedures and potential risk to healthcare personnel. We convened a group of Massachusetts healthcare epidemiologists to develop consensus through expert opinion in an area where broader guidance was lacking at the time.

The Recognition Heuristic (Gigerenzer & Goldstein, 1996; Goldstein & Gigerenzer, 2002) makes the counter-intuitive prediction that a decision maker utilizing less information may do as well as, or outperform, an idealized decision maker utilizing more information. We lay a theoretical foundation for the use of single-variable heuristics such as the Recognition Heuristic as an optimal decision strategy within a linear modeling framework. We identify conditions under which over-weighting a single predictor is a mini-max strategy among a class of a priori chosen weights based on decision heuristics with respect to a measure of statistical lack of fit we call “risk”. These strategies, in turn, outperform standard multiple regression as long as the amount of data available is limited. We also show that, under related conditions, weighting only one variable and ignoring all others produces the same risk as ignoring the single variable and weighting all others. This approach has the advantage of generalizing beyond the original environment of the Recognition Heuristic to situations with more than two choice options, binary or continuous representations of recognition, and to other single variable heuristics. We analyze the structure of data used in some prior recognition tasks and find that it matches the sufficient conditions for optimality in our results. Rather than being a poor or adequate substitute for a compensatory model, the Recognition Heuristic closely approximates an optimal strategy when a decision maker has finite data about the world.

The COVID-19 pandemic has harmed many people's mental health globally. Whilst the evidence generated thus far from high-income countries regarding the pandemic's impact on suicide rates is generally reassuring, we know little about its influence on this outcome in lower- and middle-income countries or among marginalised and disadvantaged people. There are some signals for concern regarding the pandemic's potentially unequal impact on suicide rates, with some of the affected demographic subgroups and regions being at elevated risk before the pandemic began. However, the evidence-base for this topic is currently sparse, and studies conducted to date have generally not taken account of pre-pandemic temporal trends. The collection of accurate, complete and comparable data on suicide rate trends in ethnic minority and low-income groups should be prioritised. The vulnerability of low-income groups will likely be exacerbated further by the current energy supply and cost-of-living crises in many countries. It is therefore crucial that reassuring messaging highlighting the stability of suicide rates during the pandemic does not lead to complacency among policymakers.

North Dakota’s unique statewide parking-meter ban was instituted by initiated measure in 1948. The 2017 legislative session witnessed the most credible effort to repeal the ban in decades. The legislative debate centered on tradition, the state’s long-standing urban–rural split, and its lingering populist roots. The authors place this debate within a larger rural-consciousness literature and examine how the politics of rural resentment contributed to maintaining the parking-meter ban, as well as the willingness of state lawmakers to use preemption as a tool to constrain the authority of larger cities. The authors also examine the complexity surrounding individual place-based identities. The extent to which urban residents in a rural state can simultaneously identify as “urban” relative to state-based policies and politics and “rural” relative to federal-based policies and politics merits further consideration.

OBJECTIVES/GOALS: Osteoarthritis (OA) is a cartilage destroying disease. We are investigating abaloparatide (ABL) activation of parathyroid hormone receptor type 1 (PTH1R), which is expressed by articular chondrocytes in OA. We propose ABL treatment is chondroprotective in murine PTOA via stimulation of matrix production and inhibition of chondrocyte maturation. METHODS/STUDY POPULATION: 16-week-old C57BL/6 male mice received destabilization of the medial meniscus (DMM) surgery to induce knee PTOA. Beginning 2 weeks post-DMM, 40 μg/kg of ABL (or saline) was administered daily via subcutaneous injection and tissues were harvested after 6 weeks of daily injections and 8 weeks after DMM surgery. Harvested joint tissues were used for histological and molecular assessment of OA using three 5 μm thick sagittal sections from each joint, 50 μm apart, cut from the medial compartment of injured knees. Safranin O/Fast Green tissue staining and immunohistochemistry-based detection of type 10 collagen (Col10) and lubricin (Prg4) was performed using standard methods. Histomorphometric quantification of tibial cartilage area and larger hypertrophic-like cells was performed using the Osteomeasure system. RESULTS/ANTICIPATED RESULTS: Safranin O/Fast Green stained sections showed a decreased cartilage loss in DMM joints from ABL-treated versus saline-treated mice. Histomorphometric analysis of total tibial cartilage area revealed preservation of cartilage tissue on the tibial surface. Immunohistochemical analyses showed that upregulation of Col10 in DMM joints was mitigated in the cartilage of ABL-treated mice, and chondrocyte expression of Prg4 was increased in uncalcified cartilage areas in ABL-treated group. The Prg4 finding suggests a matrix anabolic effect that may counter OA cartilage loss. Quantification of chondrocytes in uncalcified and calcified tibial cartilage areas revealed a reduction in the number of larger hypertrophic-like cells in ABL treated mice, suggesting deceleration of hypertrophic differentiation. DISCUSSION/SIGNIFICANCE: Cartilage preservation/regeneration therapies would fill a critical unmet need. We demonstrate that an osteoporosis drug targeting PTH1R decelerates PTOA in mice. ABL treatment was associated with preservation of cartilage, decreased Col10, increased Prg4, and decreased number of large hypertrophic-like chondrocytes in the tibial cartilage.