Field testing the transferability of behavioural science knowledge on promoting vaccinations.

As behavioural science is increasingly adopted by organizations, there is a growing need to assess the robustness and transferability of empirical findings. Here, we investigate the transferability of insights from various sources of behavioural science knowledge to field settings. Across three pre-registered randomized controlled trials (RCTs, N = 314,824) involving a critical policy domain-COVID-19 booster uptake-we field tested text-based interventions that either increased vaccinations in prior field work (RCT1, NCT05586204), elevated vaccination intentions in an online study (RCT2, NCT05586178) or were favoured by scientists and non-experts (RCT3, NCT05586165). Despite repeated exposure to COVID-19 vaccination messaging in our population, reminders and psychological ownership language increased booster uptake, replicating prior findings. However, strategies deemed effective by prediction or intention surveys, such as encouraging the bundling of COVID-19 boosters and flu shots or addressing misconceptions, yielded no detectable benefits over simple reminders. These findings underscore the importance of testing interventions' transferability to real-world settings.

A Multisite Electronic Health Record Integrated Remote Monitoring Intervention for Hypertension Improvement: Protocol for a Randomized Pragmatic Comparative Effectiveness Trial.

BACKGROUND: Hypertension is a major contributor to various adverse health outcomes. Although previous studies have shown the benefits of home blood pressure (BP) monitoring over office-based measurements, there is limited evidence comparing the effectiveness of whether a BP monitor integrated into the electronic health record is superior to a nonintegrated BP monitor. OBJECTIVE: In this paper, we describe the protocol for a pragmatic multisite implementation of a quality improvement initiative directly comparing integrated to nonintegrated BP monitors for hypertension improvement. METHODS: We will conduct a randomized, comparative effectiveness trial at 3 large academic health centers across California. The 3 sites will enroll a total of 660 participants (approximately n=220 per site), with 330 in the integrated BP monitor arm and 330 in the nonintegrated BP control arm. The primary outcome of this study will be the absolute difference in systolic BP in mm Hg from enrollment to 6 months. Secondary outcome measures include binary measures of hypertension (controlled vs uncontrolled), hypertension-related health complications, hospitalizations, and death. The list of possible participants will be generated from a central data warehouse. Randomization will occur after enrollment in the study. Participants will use their assigned BP monitor and join site-specific hypertension interventions. Cross-site learning will occur at regular all-site meetings facilitated by the University of California, Los Angeles Value-Based Care Research Consortium. A pre- and poststudy questionnaire will be conducted to further evaluate participants' perspectives regarding their BP monitor. Linear mixed effects models will be used to compare the primary outcome measure between study arms. Mixed effects logistic regression models will be used to compare secondary outcome measures between study arms. RESULTS: The study will start enrolling participants in the second quarter of 2023 and will be completed by the first half of 2024. Results will be published by the end of 2024. CONCLUSIONS: This pragmatic trial will contribute to the growing field of chronic care management using remote monitoring by answering whether a hypertension intervention coupled with an electronic health record integrated home BP monitor improves patients' hypertension better than a hypertension intervention with a nonintegrated BP monitor. The outcomes of this study may help health system decision makers determine whether to invest in integrated BP monitors for vulnerable patient populations. TRIAL REGISTRATION: ClinicalTrials.gov NCT05390502; clinicaltrials.gov/study/NCT05390502. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/45915.

A Qualitative Study of Perceptions and Preferences Regarding Social and Behavioral Risk Screening Among Primary Care Patients.

BACKGROUND: Despite its relevance for healthcare settings, social and behavioral risk screening is not systematically performed by clinicians or healthcare systems. OBJECTIVE: To address clinician concerns, such as social and behavioral risk screening disrupting the clinician-patient relationship and lack of resources to respond, we interviewed primary care patients at an academic medical center regarding their perceptions and preferences on social and behavioral risk screening. PARTICIPANTS: Between September and December 2020, we recruited a convenience sample of 14 English-speaking primary care patients 18 years + from three clinics affiliated with an academic medical center. APPROACH: Using a semi-structured interview guide, we asked about the importance of social and behavioral risk screening, whether or not and how to share social and behavioral risk factors, and how social and behavioral risk factors are addressed. We used a multi-step analytic process to identify the range and commonality of participants' responses thematically. KEY RESULTS: Participants recognized that social and behavioral risk factor domains were relevant to primary care and important for treating the patient as a whole person. Participants preferred a conversation regarding social and behavioral risk factor with their primary care providers (PCPs), and suggested that, if surveys are used, they be followed with an open-ended, in-person discussion. Participants also suggested framing the discussion as something that is done routinely with all patients so that patients do not feel judged. Participants felt comfortable sharing social and behavioral risk factors when they trusted their PCPs, and felt that discussing social and behavioral risk factors with their PCPs built trust. Participants recognized that resources exist outside of the clinic, and suggested that PCPs distribute lists of relevant community resources to patients. CONCLUSION: In our study of primary care patients on perceptions and preferences about screening and addressing social and behavioral risk factors, we found that patients were willing to share social and behavioral risk factors with their PCP, preferred an in-person discussions with or without a survey, and wanted a list of community resources to address their needs.

Novel protein biomarkers for pneumonia and acute exacerbations in COPD: a pilot study.

Introduction: Community-acquired pneumonia (CAP) and acute exacerbations of chronic obstructive pulmonary disease (AECOPD) result in high morbidity, mortality, and socio-economic burden. The usage of easily accessible biomarkers informing on disease entity, severity, prognosis, and pathophysiological endotypes is limited in clinical practice. Here, we have analyzed selected plasma markers for their value in differential diagnosis and severity grading in a clinical cohort. Methods: A pilot cohort of hospitalized patients suffering from CAP (n = 27), AECOPD (n = 10), and healthy subjects (n = 22) were characterized clinically. Clinical scores (PSI, CURB, CRB65, GOLD I-IV, and GOLD ABCD) were obtained, and interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-2-receptor (IL-2R), lipopolysaccharide-binding protein (LBP), resistin, thrombospondin-1 (TSP-1), lactotransferrin (LTF), neutrophil gelatinase-associated lipocalin (NGAL), neutrophil-elastase-2 (ELA2), hepatocyte growth factor (HGF), soluble Fas (sFas), as well as TNF-related apoptosis-inducing ligand (TRAIL) were measured in plasma. Results: In CAP patients and healthy volunteers, we found significantly different levels of ELA2, HGF, IL-2R, IL-6, IL-8, LBP, resistin, LTF, and TRAIL. The panel of LBP, sFas, and TRAIL could discriminate between uncomplicated and severe CAP. AECOPD patients showed significantly different levels of LTF and TRAIL compared to healthy subjects. Ensemble feature selection revealed that CAP and AECOPD can be discriminated by IL-6, resistin, together with IL-2R. These factors even allow the differentiation between COPD patients suffering from an exacerbation or pneumonia. Discussion: Taken together, we identified immune mediators in patient plasma that provide information on differential diagnosis and disease severity and can therefore serve as biomarkers. Further studies are required for validation in bigger cohorts.

Barriers to Implementation of Teleretinal Diabetic Retinopathy Screening Programs Across the University of California.

Aim: To describe barriers to implementation of diabetic retinopathy (DR) teleretinal screening programs and artificial intelligence (AI) integration at the University of California (UC). Methods: Institutional representatives from UC Los Angeles, San Diego, San Francisco, Irvine, and Davis were surveyed for the year of their program's initiation, active status at the time of survey (December 2021), number of primary care clinics involved, screening image quality, types of eye providers, image interpretation turnaround time, and billing codes used. Representatives were asked to rate perceptions toward barriers to teleretinal DR screening and AI implementation using a 5-point Likert scale. Results: Four UC campuses had active DR teleretinal screening programs at the time of survey and screened between 246 and 2,123 patients at 1-6 clinics per campus. Sites reported variation between poor-quality photos (<5% to 15%) and average image interpretation time (1-5 days). Patient education, resource availability, and infrastructural support were identified as barriers to DR teleretinal screening. Cost and integration into existing technology infrastructures were identified as barriers to AI integration in DR screening. Conclusions: Despite the potential to increase access to care, there remain several barriers to widespread implementation of DR teleretinal screening. More research is needed to develop best practices to overcome these barriers.

Surface proteome of plasma extracellular vesicles as mechanistic and clinical biomarkers for malaria.

PURPOSE: Malaria is a life-threatening mosquito-borne disease caused by Plasmodium parasites, mainly in tropical and subtropical countries. Plasmodium falciparum (P. falciparum) is the most prevalent cause on the African continent and responsible for most malaria-related deaths globally. Important medical needs are biomarkers for disease severity or disease outcome. A potential source of easily accessible biomarkers are blood-borne small extracellular vesicles (sEVs). METHODS: We performed an EV Array to find proteins on plasma sEVs that are differentially expressed in malaria patients. Plasma samples from 21 healthy subjects and 15 malaria patients were analyzed. The EV array contained 40 antibodies to capture sEVs, which were then visualized with a cocktail of biotin-conjugated CD9, CD63, and CD81 antibodies. RESULTS: We detected significant differences in the protein decoration of sEVs between healthy subjects and malaria patients. We found CD106 to be the best discrimination marker based on receiver operating characteristic (ROC) analysis with an area under the curve of > 0.974. Additional ensemble feature selection revealed CD106, Osteopontin, CD81, major histocompatibility complex class II DR (HLA-DR), and heparin binding EGF like growth factor (HBEGF) together with thrombocytes to be a feature panel for discrimination between healthy and malaria. TNF-R-II correlated with HLA-A/B/C as well as CD9 with CD81, whereas Osteopontin negatively correlated with CD81 and CD9. Pathway analysis linked the herein identified proteins to IFN-γ signaling. CONCLUSION: sEV-associated proteins can discriminate between healthy individuals and malaria patients and are candidates for future predictive biomarkers. TRIAL REGISTRATION: The trial was registered in the Deutsches Register Klinischer Studien (DRKS-ID: DRKS00012518).

When peer comparison information harms physician well-being.

Policymakers and business leaders often use peer comparison information-showing people how their behavior compares to that of their peers-to motivate a range of behaviors. Despite their widespread use, the potential impact of peer comparison interventions on recipients' well-being is largely unknown. We conducted a 5-mo field experiment involving 199 primary care physicians and 46,631 patients to examine the impact of a peer comparison intervention on physicians' job performance, job satisfaction, and burnout. We varied whether physicians received information about their preventive care performance compared to that of other physicians in the same health system. Our analyses reveal that our implementation of peer comparison did not significantly improve physicians' preventive care performance, but it did significantly decrease job satisfaction and increase burnout, with the effect on job satisfaction persisting for at least 4 mo after the intervention had been discontinued. Quantitative and qualitative evidence on the mechanisms underlying these unanticipated negative effects suggest that the intervention inadvertently signaled a lack of support from leadership. Consistent with this account, providing leaders with training on how to support physicians mitigated the negative effects on well-being. Our research uncovers a critical potential downside of peer comparison interventions, highlights the importance of evaluating the psychological costs of behavioral interventions, and points to how a complementary intervention-leadership support training-can mitigate these costs.

Effect of Patient Portal Messaging Before Mailing Fecal Immunochemical Test Kit on Colorectal Cancer Screening Rates: A Randomized Clinical Trial.

Importance: Colorectal cancer (CRC) screening reduces CRC mortality; however, screening rates remain well below the national benchmark of 80%. Objective: To determine whether an electronic primer message delivered through the patient portal increases the completion rate of CRC screening in a mailed fecal immunochemical test (FIT) outreach program. Design, Setting, and Participants: In this randomized clinical quality improvement trial at the University of California, Los Angeles Health of 2339 patients enrolled in a FIT mailing program from August 28, 2019, to September 20, 2020, patients were randomly assigned to either the control or intervention group, and the screening completion rate was measured at 6 months. Participants were average-risk managed care patients aged 50 to 75 years, with a valid mailing address, no mailed CRC outreach in the previous 6 months, and an active electronic health record (EHR) patient portal who were due for CRC screening. Data were analyzed on an intention-to-treat basis. Interventions: Eligible patients were randomly assigned to receive either (1) the standard FIT mailed outreach (control group) or (2) the standard FIT mailed outreach plus an automated primer to notify patients of the upcoming mailed FIT sent through the electronic patient portal (intervention group). Main Outcomes and Measures: The primary outcome was the screening completion rate (ie, returning the FIT). Secondary outcomes were (1) were the time to CRC screening from the FIT mailing date, (2) screening modality completed, and (3) the effect of opening the electronic primer on screening completion rate. Results: The study included 2339 patients (1346 women [57.5%]; mean [SD] age, 58.9 [7.5] years). The screening completion rate was higher in the intervention group than in the control group (37.6% [445 of 1182] vs 32.1% [371 of 1157]; P = .005). The time to screening was shorter in the intervention group than in the control group (adjusted hazard ratio, 1.24; 95% CI, 1.08-1.42; P = .003). The proportion of each screening test modality completed was similar in both groups. In a subanalysis of the 900 of 1182 patients (76.1%) in the intervention group who opened the patient portal primer message, there was a 7.3-percentage point (95% CI, 2.3-12.4 percentage points) increase in CRC screening (local mean treatment effect; P = .004). Conclusions and Relevance: Implementation of an electronic patient portal primer message in a mailed FIT outreach program led to a significant increase in CRC screening and improvement in the time to screening completion. The findings provide an evidence base for additional refinements to mailed FIT outreach quality improvement programs in large health systems. Trial Registration: ClinicalTrials.gov Identifier: NCT05115916.

Examining the role of COVID-19 testing availability on intention to isolate: A Randomized hypothetical scenario.

BACKGROUND: Little information exists on how COVID-19 testing influences intentions to engage in risky behavior. Understanding the behavioral effects of diagnostic testing may highlight the role of adequate testing on controlling viral transmission. In order to evaluate these effects, simulated scenarios were conducted evaluating participant intentions to self-isolate based on COVID-19 diagnostic testing availability and results. METHODS: Participants from the United States were recruited through an online survey platform (Amazon Mechanical Turk) and randomized to one of three hypothetical scenarios. Each scenario asked participants to imagine having symptoms consistent with COVID-19 along with a clinical diagnosis from their physician. However, scenarios differed in either testing availability (testing available v. unavailable) or testing result (positive v. negative test). The primary outcome was intention to engage in high-risk COVID-19 behaviors, measured using an 11-item mean score (range 1-7) that was pre-registered prior to data collection. Multi-variable linear regression was used to compare the mean composite scores between conditions. The randomized survey was conducted between July 23rd to July 29th, 2020. RESULTS: A total of 1400 participants were recruited through a national, online, opt-in survey. Out of 1194 respondents (41.6% male, 58.4% female) with a median age of 38.5 years, participants who had no testing available in their clinical scenario showed significantly greater intentions to engage in behavior facilitating COVID-19 transmission compared to those who received a positive confirmatory test result scenario (mean absolute difference (SE): 0.14 (0.06), P = 0.016), equating to an 11.1% increase in mean score risky behavior intentions. Intention to engage in behaviors that can spread COVID-19 were also positively associated with male gender, poor health status, and Republican party affiliation. CONCLUSION: Testing availability appears to play an independent role in influencing behaviors facilitating COVID-19 transmission. Such findings shed light on the possible negative externalities of testing unavailability. TRIAL REGISTRATION: Effect of Availability of COVID-19 Testing on Choice to Isolate and Socially Distance, NCT04459520, https://clinicaltrials.gov/ct2/show/NCT04459520.

The Impact of Telemedicine on Quality of Care for Patients with Diabetes After March 2020.

BACKGROUND: The impact of telemedicine on ambulatory care quality is a key question for policymakers as they navigate payment reform for remote care. OBJECTIVE: To evaluate whether utilizing telemedicine in the first 9 months of the COVID-19 pandemic impacted performance on a diabetes quality of care measure for patients at a large academic medical center. We hypothesized care quality would reduce less among telemedicine users. DESIGN: Quasi-experimental design using binomial logistic regression. Covariates included age, gender, race, ethnicity, type of insurance, hierarchical condition category score, primary language at the individual level, and zip code-level income. PARTICIPANTS: All adult patients younger than 75 years of age diagnosed with type 2 diabetes mellitus (N = 16,588) as of 3/19/2020 at a single academic health center. INTERVENTIONS: Completion of one or more telemedicine encounters with an institutional primary care physician or endocrinologist between 3/19/2020 and 12/19/2020. MAIN MEASURES: The components met in a five-item composite measure of diabetes quality of care, as of patients' last clinical encounter. Items were (1) systolic blood pressure less than 140 mmHg, (2) hemoglobin A1c less than 8.0%, (3) using a statin and (4) aspirin, and (5) tobacco non-use. KEY RESULTS: From the pre- to post-period, the probability of meeting any given component of the composite measure for patients only utilizing in-person care was 21% lower (OR, 95% CI 0.79; 0.76, 0.81) and for the telemedicine users 2% lower (OR 0.98; 0.85, 1.13). There was an increased likelihood of meeting any given component among telemedicine users compared to in-person care alone (OR 1.25; 1.08, 1.44). CONCLUSIONS: Patients with diabetes utilizing telemedicine performed similarly on a composite measure of diabetes care quality compared to before the pandemic. Those not utilizing telemedicine had reductions. Telemedicine use maintained quality of care for patients with diabetes during the first 9 months of the COVID-19 pandemic.

Impact of COVID-19 on Primary Care Quality Measures in an Academic Integrated Health System.

BACKGROUND: Access to primary care was hindered by the coronavirus disease 2019 (COVID-19) pandemic. OBJECTIVE: Evaluate changes in health screening rates before and during the pandemic. DESIGN: Retrospective analysis of health maintenance and disease management screening rates among primary care patients before and during the pandemic. PARTICIPANTS: Over 150,000 patients of a large, academic health system. MAIN MEASURES: Six quality measures were analyzed: colon cancer, breast cancer, cervical cancer, diabetes Hgb A1C, diabetes eye, and diabetes nephropathy monitoring. Based on US Preventative Services Task Force screening guidelines, we determined which patients were due for at least one of the quality measures. We tracked completion rates during three time periods: pre-pandemic (January 1-March 3, 2020), stay-at-home (March 4-May 8, 2020), and phased reopening (May 9-July 8, 2020). Differences in quality measure completion rates were evaluated using mixed-effects logistic regression models. KEY RESULTS: Compared to pre-pandemic rates, completion of all health screenings declined during the stay-at-home period: mammograms (OR: 0.34; 95% CI: 0.31-0.37), cervical cancer (OR: 0.83; 95% CI: 0.76-0.91), colorectal cancer (OR: 0.25; 95% CI: 0.23-0.28), diabetes eye (OR: 0.34; 95% CI: 0.29-0.41), diabetes Hgb A1c (OR: 0.41; 95% CI: 0.37-0.46), and diabetes nephropathy (OR: 0.46, 95% CI: 0.41-0.53). During phased reopening, completion of all quality measures increased compared to the stay-at-home period, except for cervical cancer screening (OR: 0.83; 95% CI: 0.76-0.92). There was a persistent reduction in completion of all quality measures, except for diabetic nephropathy monitoring (OR: 0.99; 95% CI: 0.89-1.09), during phased reopening compared to pre-pandemic. CONCLUSIONS: Healthcare screening rates were reduced during the early part of the COVID-19 pandemic and did not fully recover to pre-pandemic rates by July 2020. Future research should aim to clarify the long-term impacts of delayed health screenings. New interventions should be considered for expanding remote preventative health services.

Utilizing point-of-care A1c to impact outcomes - can we make it happen in primary care?

PURPOSE OF REVIEW: Hemoglobin A1c testing provides a marker of glycemic control and is the standard for diabetes risk assessment. According to the Centers for Disease Control (CDC), only 67.3-71.4% of diabetic patients between 2011 and 2016 had at least two A1c levels tested per year. Moreover, 27.8% had uncontrolled diabetes with an A1c of ≥8.0%, increasing the risk of microvascular complications. Lack of monitoring presents a significant barrier, and improving ease of testing could improve glycemic control. RECENT FINDINGS: Point-of-care (POC) A1c testing, obtained via capillary blood with results provided in 5-6 min, is available and used frequently in endocrine clinics. However, POC A1c testing is not standard in primary care, where 90% of type 2 diabetes patients are treated. Barriers include access and costs of POC A1c machines and standardization of testing in the primary care setting. Review of literature, however, suggests that POC A1c testing in primary care may lead to A1c reduction whereas being potentially cost-effective and strengths the patient-physician relationship. SUMMARY: POC A1c testing in primary care, if widely available and integrated into workflow, has the potential to positively impact diabetes care. Real-time feedback may change patient and physician behaviors, allowing earlier therapeutic intensification.

Behavioural nudges increase COVID-19 vaccinations.

Enhancing vaccine uptake is a critical public health challenge1. Overcoming vaccine hesitancy2,3 and failure to follow through on vaccination intentions3 requires effective communication strategies3,4. Here we present two sequential randomized controlled trials to test the effect of behavioural interventions on the uptake of COVID-19 vaccines. We designed text-based reminders that make vaccination salient and easy, and delivered them to participants drawn from a healthcare system one day (first randomized controlled trial) (n = 93,354 participants; clinicaltrials number NCT04800965) and eight days (second randomized controlled trial) (n = 67,092 individuals; clinicaltrials number NCT04801524) after they received a notification of vaccine eligibility. The first reminder boosted appointment and vaccination rates within the healthcare system by 6.07 (84%) and 3.57 (26%) percentage points, respectively; the second reminder increased those outcomes by 1.65 and 1.06 percentage points, respectively. The first reminder had a greater effect when it was designed to make participants feel ownership of the vaccine dose. However, we found no evidence that combining the first reminder with a video-based information intervention designed to address vaccine hesitancy heightened its effect. We performed online studies (n = 3,181 participants) to examine vaccination intentions, which revealed patterns that diverged from those of the first randomized controlled trial; this underscores the importance of pilot-testing interventions in the field. Our findings inform the design of behavioural nudges for promoting health decisions5, and highlight the value of making vaccination easy and inducing feelings of ownership over vaccines.

The Association of Broadband Internet Access and Telemedicine Utilization in rural Western Tennessee: an observational study.

BACKGROUND: Broadband access has been highlighted as a national policy priority to improve access to care in rural communities. OBJECTIVE: To determine whether broadband internet availability was associated with telemedicine adoption among a rural patient population in western Tennessee. METHODS: Observational study using electronic medical record data from March 13th, 2019 to March 13th, 2021. Multivariable logistic regression incorporating individual-level characteristics with broadband availability, income, educational attainment, and primary care physician supply at the zip code level, and rural status as determined at the county level. SETTING: Single health system in western Tennessee. PARTICIPANTS: Adult patients with one or more in-person or remote encounter in a health system in western Tennessee and residing in western Tennessee between March 13th, 2019 and March 13th, 2021 (N = 54,688). OUTCOME MEASURES: Completion of one or more video encounters in the year following March 13th, 2020 (N = 3199; 7%). Our primary characteristic of interest was the proportion of residents in each zip code with access to the internet meeting the Federal Communications Commission definition of broadband access, adjusting for age, gender, race, income, educational attainment, insurance type, rural status, and primary care provider supply. RESULTS: Patients in a rural western Tennessee health system were predominantly white (79%), residing in rural zip codes (73%) with median household incomes ($52,085) less than state and national averages. Patients residing in a zip code where there is 80 to 100% broadband access compared to 0 to 20% were more likely in the year following March 13th, 2020 to have completed both telemedicine and in-person visits ([OR; 95% CI] 1.57; 1.29, 1.94), completed only telemedicine visits (2.26; 1.71, 2.97), less likely to have only completed in-person visits (0.81; 0.74, 0.89), but no more or less likely to have accessed no care (1.07; 0.97, 1.18). DISCUSSION: The availability of broadband internet was shown to be one of many factors associated with the utilization of telemedicine for a rural, working-class community after March 13th, 2020. CONCLUSIONS: Access to broadband internet is a determinant of access to telemedicine for patients in rural communities and should be a priority for policymakers interested in improving health and access to care for rural patients.

Transcriptional analysis identifies potential biomarkers and molecular regulators in acute malaria infection.

AIMS: Malaria is a serious health threat in tropical countries. The causative parasite of Malaria tropica, the severe form, is the protozoan Plasmodium falciparum. In humans, it infects red blood cells, compromising blood flow and tissue perfusion. This study aims to identify potential biomarkers and RNA networks in leukocyte transcriptomes from patients suffering from Malaria tropica. MATERIALS AND METHODS: We identified differentially regulated mRNAs and microRNAs in peripheral blood leukocytes of healthy donors and Malaria patients. Genes whose expression changes were not attributable to changes in leukocyte composition were used for bioinformatics analysis and network construction. Using a previously published cohort of community-acquired pneumonia (CAP) patients, we established discriminating transcriptomic features versus Malaria. We aimed to establish differences between the patient groups by principal component (PCA) and receiving operator characteristic (ROC) analyses and in silico cell type deconvolution. KEY FINDINGS: We found 870 genes that were significantly differentially expressed between healthy donors and Malaria patients. E2F1, BIRC5 and CCNB1 were identified to be primarily responsible for PCA separation of these two groups. We searched for biological function and found that cell cycle processes were strongly activated. By in silico cell type deconvolution, we attribute this to an expansion of γδ T cells. Additional discrimination between CAP and Malaria yielded 445 differentially expressed genes, among which immune proteasome transcripts PSMB8, PSMB9 and PSMB10 were significantly induced in Malaria. SIGNIFICANCE: We identified transcripts from patient leukocytes that differentiate between healthy, Malaria and CAP, and indicate a biological context with potential pathophysiological relevance.

Patient Navigation After Positive Fecal Immunochemical Test Results Increases Diagnostic Colonoscopy and Highlights Multilevel Barriers to Follow-Up.

BACKGROUND: The fecal immunochemical test (FIT) is a common colorectal cancer screening modality in the USA but often is not followed by diagnostic colonoscopy. AIMS: We investigated the efficacy of patient navigation to increase diagnostic colonoscopy after positive FIT results and determined persistent barriers to follow-up despite navigation in a large, academic healthcare system. METHODS: The study cohort included all health system outpatients with an assigned primary care provider, a positive FIT result between 12/01/2016 and 06/01/2019, and no documentation of colonoscopy after positive FIT. Two non-clinical patient navigators engaged patients and providers to encourage follow-up, offer solutions to barriers, and assist with colonoscopy scheduling. The primary intervention endpoint was completion of colonoscopy within 6 months of navigation. We documented reasons for persistent barriers to colonoscopy despite navigation and determined predictors of successful follow-up after navigation. RESULTS: There were 119 patients who received intervention. Of these, 37 (31.1%) patients completed colonoscopy at 6 months. In 41/119 (34.5%) cases, the PCP did not recommend colonoscopy, most commonly due to a normal colonoscopy prior to the positive FIT (19, 46.3%). There were 41/119 patients (34.5%) that declined colonoscopy despite the patient navigator and the PCP order. Male sex and younger age were significant predictors of follow-up (aOR = 2.91, 95%CI, 1.18-7.13; aOR = 0.92, 95%CI, 0.87-0.99). CONCLUSIONS: After implementation of patient navigation, diagnostic colonoscopy was completed for 31.1% of patients with a positive FIT result. However, navigation also highlighted persistent multilevel barriers to follow-up. Future work will develop targeted solutions for these barriers to further increase FIT follow-up rates in our health system.

Evaluation of antibiotic escalation in response to nurse-driven inpatient sepsis screen.

Objective: To determine the frequency and predictors of antibiotic escalation in response to the inpatient sepsis screen at our institution. Design: Retrospective cohort study. Setting: Two affiliated academic medical centers in Los Angeles, California. Patients: Hospitalized patients aged 18 years and older who had their first positive sepsis screen between January 1, 2019, and December 31, 2019, on acute-care wards. Methods: We described the rate and etiology of antibiotic escalation, and we conducted multivariable regression analyses of predictors of antibiotic escalation. Results: Of the 576 cases with a positive sepsis screen, antibiotic escalation occurred in 131 cases (22.7%). New infection was the most documented etiology of escalation, with 76 cases (13.2%), followed by known pre-existing infection, with 26 cases (4.5%). Antibiotics were continued past 3 days in 17 cases (3.0%) in which new or existing infection was not apparent. Abnormal temperature (adjusted odds ratio [aOR], 3.00; 95% confidence interval [CI], 1.91-4.70) and abnormal lactate (aOR, 2.04; 95% CI, 1.28-3.27) were significant predictors of antibiotic escalation. The patient already being on antibiotics (aOR, 0.54; 95% CI, 0.34-0.89) and the positive screen occurred during a nursing shift change (aOR, 0.36; 95% CI, 0.22-0.57) were negative predictors. Pneumonia was the most documented new infection, but only 19 (50%) of 38 pneumonia cases met full clinical diagnostic criteria. Conclusions: Inpatient sepsis screening led to a new infectious diagnosis in 13.2% of all positive sepsis screens, and the risk of prolonged antibiotic exposure without a clear infectious source was low. Pneumonia diagnostics and lactate testing are potential targets for future stewardship efforts.