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To evaluate the cost-effectiveness of evolocumab when added to standard of care lipid-lowering treatment (LLT) for patients with atherosclerotic cardiovascular disease (ASCVD) who cannot adequately control their low-density lipoprotein cholesterol (LDL-C) despite optimized LLT in Canada.An incremental cost-utility analysis was conducted using a Markov cohort state transition model adapted to the Canadian setting. Analyses were conducted from a public health and societal perspective using a lifetime time horizon for Canada. Scenario analyses were conducted on the basis of recommendations from the 2021 Canadian Cardiovascular Society (CCS) dyslipidemia guidelines.In ASCVD patients with prior myocardial infarction (MI) and baseline LDL-C ≥ 1.8 mmol/L, adding evolocumab to optimized statin therapy with or without ezetimibe is associated with an incremental cost per quality-adjusted life year (QALY) gained of $66,453 CAD. Furthermore, for every 100 patients treated with evolocumab for lifetime, adding evolocumab to optimized LLT will prevent approximately 52 cardiovascular (CV) events, of which seven would be fatal. The results are generally robust using univariate and simultaneous variation in model input parameters. Scenario analyses for patient populations as per the CCS guidelines suggest that evolocumab added to optimized LLT may be considered cost-effective, given an incremental cost-effectiveness ratio (ICER) threshold of CAD$100,000 per QALY gained. Limitations associated with this analysis should be interpreted in the context of data and modeling assumptions used.Overall, this analysis supports reimbursement of evolocumab by payers in patients with ASCVD who cannot reach LDL-C thresholds despite optimized LLT to reduce unnecessary fatal and non-fatal CV events.

BACKGROUND: Racial minorities are disproportionately affected by stroke, with Black patients experiencing worse post-stroke outcomes than White patients. A modifiable aspect of acute stroke care delivery not yet examined is whether disparities in stroke outcomes are related to hospital nurse staffing levels. OBJECTIVES: To determine whether 7- and 30-day readmission disparities between Black and White patients were associated with nurse staffing levels. METHODS: We conducted a secondary analysis of 542 hospitals in four states. Risk-adjusted, logistic regression models were used to determine the association of nurse staffing with 7-day and 30-day all-cause readmissions for Black and White ischemic stroke patients. RESULTS: Our sample included 98,150 ischemic stroke patients (87% White, 13% Black). Thirty-day readmission rates were 10.4% (12.7% for Black, 10.0% for White patients). In models accounting for hospital and patient characteristics, the odds of 30-day readmissions were higher for Black than White patients. A significant interaction was found between race and nurse staffing, with Black patients experiencing higher odds of 30-day and 7-day readmissions for each additional patient cared for by a nurse. In the best-staffed hospitals (< 3 patients per nurse), Black and White stroke patients’ disparities were no longer significant. DISCUSSION: Disparities in readmissions between Black and White stroke patients may be linked to the level of nurse staffing in the hospitals where they receive care. Tailoring nurse staffing levels to meet the needs of Black ischemic stroke patients represents a promising intervention to address systemic inequities linked to readmission disparities among minority stroke patients.

Photoacoustic (PA) imaging has proved versatile for many biomedical applications from drug delivery tracking to disease diagnostics and postoperative surveillance. It recently emerged as a tool for accurate and real-time heparin monitoring to avoid bleeding complications associated with anticoagulant therapy. However, molecular-dye-based application is limited by high concentration requirements, photostability, and a strong background hemoglobin signal. We developed polydopamine nanocapsules (PNCs)ivia/isupramolecular templates and loaded them with molecular dyes for enhanced PA-mediated heparin detection. Depending on surface charge, the dye-loaded PNCs undergo disassembly or aggregation upon heparin recognition: both experiments and simulation have revealed that the increased PA signal mainly results from dye-loaded PNC-heparin aggregation. Importantly, Nile blue (NB)-loaded PNCs generated a 10-fold higher PA signal than free NB dye, and such PNC enabled the direct detection of heparin in a clinically relevant therapeutic window (0-4 U/mL) in whole human blood (iR/isup2/sup= 0.91). Furthermore, the PA signal of PNC@NB obtained from 17 patients linearly correlated with ACT values (iR/isup2/sup= 0.73) and cumulative heparin (iR/isup2/sup= 0.83). This PNC-based strategy for functional nanocapsules offers a versatile engineering platform for robust biomedical contrast agents and nanocarriers.

Background Atherosclerotic cardiovascular disease (ASCVD) is a leading cause of morbidity and mortality worldwide. Data from Canadian populations regarding the burden of ASCVD are limited. Therefore, we describe the 5‐year period prevalence of ASCVD and subsequent major adverse cardiovascular event (MACE) outcomes among patients with ASCVD in Alberta, Canada. Methods A retrospective, observational study was conducted by linking provincial health services data, vital statistics, and pharmaceutical dispenses data. Five‐year period prevalence of clinical ASCVD was captured between 2011 and 2016, and a cohort of adult patients with an initial clinical ASCVD event were identified between 2012 and 2016. One‐year incidence rates (IRs) of subsequent MACE outcomes were calculated as composite and individual measures. A subgroup of patients with acute myocardial infarction (AMI) as their index event was examined. Results There were 198 573 patients (mean [standard deviation] age: 63.9 [15.6] years; 56.6% males) identified with clinical ASCVD between 2012 and 2016. Overall, the 5‐year period prevalence of ASCVD in Alberta was 89.9 per 1000 persons and the 1‐year IR for a primary MACE outcome was 6.15 (95% confidence interval [CI]: 6.03–6.26) per 100 person‐years. Among the ASCVD cohort, 9465 had an AMI as their index event and the IR for a primary MACE outcome was 14.30 (95% CI: 13.45–15.20) per 100 person‐years. Conclusions This study found that the prevalence of ASCVD and the rate of subsequent MACE outcomes 1 year following the initial ASCVD event are substantial, particularly among patients with an AMI. Secondary prevention strategies aimed at lowering this risk are needed for patients with ASCVD.

ImportanceThe COVID-19 pandemic has claimed nearly 6 million lives globally as of February 2022. While pandemic control efforts, including contact tracing, have traditionally been the purview of state and local health departments, the COVID-19 pandemic outpaced health department capacity, necessitating actions by private health systems to investigate and control outbreaks, mitigate transmission, and support patients and communities.ObjectiveTo investigate the process of designing and implementing a volunteer-staffed contact tracing program at a large academic health system from April 2020 to May 2021, including program structure, lessons learned through implementation, results of case investigation and contact tracing efforts, and reflections on how constrained resources may be best allocated in the current pandemic or future public health emergencies.Design, Setting, and ParticipantsThis case series study was conducted among patients at the University of Pennsylvania Health System and in partnership with the Philadelphia Department of Public Health. Patients who tested positive for COVID-19 were contacted to counsel them regarding safe isolation practices, identify and support quarantine of their close contacts, and provide resources, such as food and medicine, needed during isolation or quarantine.ResultsOf 5470 individuals who tested positive for COVID-19 and received calls from a volunteer, 2982 individuals (54.5%; median [range] age, 42 [18-97] years; 1628 [59.4%] women among 2741 cases with sex data) were interviewed; among 2683 cases with race data, there were 110 Asian individuals (3.9%), 1476 Black individuals (52.7%), and 817 White individuals (29.2%), and among 2667 cases with ethnicity data, there were 366 Hispanic individuals (13.1%) and 2301 individuals who were not Hispanic (82.6%). Most individuals lived in a household with 2 to 5 people (2125 of 2904 individuals with household data [71.6%]). Of 3222 unique contacts, 1780 close contacts (55.2%; median [range] age, 40 [18-97] years; 866 [55.3%] women among 1565 contacts with sex data) were interviewed; among 1523 contacts with race data, there were 69 Asian individuals (4.2%), 705 Black individuals (43.2%), and 573 White individuals (35.1%), and among 1514 contacts with ethnicity data, there were 202 Hispanic individuals (12.8%) and 1312 individuals (83.4%) who were not Hispanic. Most contacts lived in a household with 2 to 5 people (1123 of 1418 individuals with household data [79.2%]). Of 3324 cases and contacts who completed a questionnaire on unmet social needs, 907 (27.3%) experienced material hardships that would make it difficult for them to isolate or quarantine safely. Such hardship was significantly less common among White compared with Black participants (odds ratio, 0.20; 95% CI, 0.16-0.25).Conclusions and RelevanceThese findings demonstrate the feasibility and challenges of implementing a case investigation and contact tracing program at an academic health system. In addition to successfully engaging most assigned COVID-19 cases and close contacts, contact tracers shared health information and material resources to support isolation and quarantine, thus filling local public health system gaps and supporting local pandemic control.

DNA nanostructures are well-established vectors for packaging diversified payloads for targeted cellular delivery. Here, DNA origami rectangular sheets were combined with Herpes Simplex Virus 1 (HSV1) capsids to demonstrate surface coverage of the particle via electrostatic interactions. The optimized origami:HSV1 molar ratios led to characteristic packaging geometries ranging from dispersed “HSV1 pockets” to agglomerated “HSV1 sleeves”. “Pockets” were disguised from cells in HeLa and B16F10 cells and were 44.2% less infective than naked HSV1 particles. However, the pockets were 117% more infective than naked HSV1 particles when the origami sheets were coated with folic acid. We observed infectivity from naked origami, but they are 99.1% less infective with respect to HSV1 and 99.6% less infective with respect to the pocket complexes. This work suggests that DNA origami can selectively modulate virus infectivity.

Background: Patients who are discharged from the emergency department (ED) after an encounter for acute heart failure are at high risk for return hospitalization. These patients may benefit from timely outpatient follow-up care to reassess volume status, adjust medications, and reinforce self-care strategies. This study examines the incidence of outpatient follow-up care after ED encounters for acute heart failure and describes patient characteristics associated with obtaining timely follow-up care. Methods: We conducted a retrospective cohort study using an administrative claims database for a large US commercial insurer, from January 1, 2012 to June 30, 2019. Participants included adult patients discharged from the ED with principal diagnosis of acute heart failure. The primary outcome was obtaining an in-person outpatient clinic visit for heart failure within 30 days. We also examined the competing risk of all-cause hospitalization within 30 days and without an intervening outpatient clinic visit. We estimated competing risk regression models to identify patient characteristics associated with obtaining outpatient follow-up and report cause-specific hazard ratios. Results: The cohort included 52 732 patients, with mean age of 73.9 years (95% CI, 73.8–74.0) and 27 395 (52.0% [95% CI, 51.5–52.4]) female patients. Within 30 days of the ED encounter, 12 279 (23.2%) patients attended an outpatient clinic visit for heart failure, with 8382 (15.9%) patients hospitalized before they could obtain an outpatient clinic visit. In the adjusted analysis, patients that were younger, women, reporting non-Hispanic Black race, and had fewer previous clinic visits were less likely to obtain outpatient follow-up care. Conclusions: Few patients obtain timely outpatient follow-up after ED visits for heart failure, although nearly 20% require hospitalization within 30 days. Improved transitions following discharge from the ED may represent an opportunity to improve outcomes for patients with acute heart failure.

Nucleic acids are well-established biomarkers of cancer with immense value in diagnostics and basic research. However, strategies to monitor these species in tissue can be challenging due to the need for amplification of imaging signal from low analyte concentrations with high specificity. Photoacoustic (PA) imaging is gaining traction for molecular imaging of proteins, small biomolecules, and nucleic acids by coupling pulsed near-infrared (NIR) excitation with broadband acoustic detection. This work introduces a PA nucleic acid contrast agent that harnesses NIR fluorophore and quencher-tagged hybridization chain reaction (HCR) for signal amplification. This HCR probe was designed to enable contact quenching between NIR dye-quencher pairs by coercing their direct alignment when miR-21, a microRNA cancer biomarker, is detected. The probe demonstrated a ratiometric PA limit of detection of 148 pM miR-21, sequence specificity against one- and two-base mutations, and selectivity over other microRNAs. It was further tested in live human ovarian cancer (SKOV3) and noncancerous (HEK 293T) cells to exemplify in situ PA activation based on differences in endogenous miR-21 regulation (p = 0.0002). The probe was lastly tested in tissue mimicking phantoms to exemplify sustained contrast in centimeter-range depths and 85.3% photostability after 15 min of laser irradiation. The probe's miR-21-specific activation and its ability to maintain contrast in biologically relevant absorbing and scattering media support its consideration for live-cell PA microscopy and potential cancer diagnostics. Results from this probe also underscore the combined detection power between ratiometric PA signaling and strand amplification for more sensitive DNA-based PA sensors.

OBJECTIVES: Previous studies indicate that patient satisfaction with mental healthcare is correlated with both treatment outcomes and quality of life. This study aimed to 1) describe online reviews of mental health treatment facilities, including key themes in review content, and 2) evaluate the correlation between narrative review themes, facility characteristics, and review ratings. METHODS: United States National Mental Health Services Survey (N-MHSS) facilities were linked to their corresponding Yelp pages, created between March, 2007 and September, 2019. Correlations between review ratings and both machine-learning generated latent Dirichlet allocation topics and N-MHSS reported facility characteristics were measured using Spearman’s rank correlation coefficient, and significance was defined by a Bonferroni adjusted p

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a serious threat to human health and lacks an effective treatment. There is an urgent need for both real-time tracking and precise treatment of the SARS-CoV-2-infected cells to mitigate and ultimately prevent viral transmission. However, selective triggering and tracking of the therapeutic process in the infected cells remains challenging. Here, we report a main protease (M

BACKGROUND: Among adults with in-hospital cardiac arrest (IHCA), overall survival is lower in black patients compared to white patients. Data regarding racial differences in survival for pediatric IHCA are unknown. METHODS: Using 2000–2017 data from the American Heart Association Get With the Guidelines-Resuscitation® registry, we identified children >24 hours and < 18 years of age with IHCA due to an initial pulseless rhythm. We used generalized estimation equation to examine the association of black race with survival to hospital discharge, return of spontaneous circulation (ROSC), and favorable neurologic outcome at discharge. RESULTS: Overall, 2940 pediatric patients (898 black, 2042 white) at 224 hospitals with IHCA were included. The mean age was 3.0 years, 57% were male and 16% had an initial shockable rhythm. Age, sex, interventions in place at the time of arrest and cardiac arrest characteristics did not differ significantly by race. The overall survival to discharge was 36.9%, return of spontaneous circulation (ROSC) was 73%, and favorable neurologic survival was 20.8%. Although black race was associated with lower rates of ROSC compared to white patients (69.5% in blacks vs. 74.6% in whites; risk-adjusted OR 0.79, 95% CI 0.67 – 0.94, P= 0.016), black race was not associated with survival to discharge (34.7% in blacks vs. 37.8% in whites; risk-adjusted OR 0.96, 95% CI 0.80 – 1.15, P=0.68) or favorable neurologic outcome (18.7% in blacks vs. 21.8% in whites, risk-adjusted OR 0.98, 95% CI 0.80–1.20, p=0.85). CONCLUSIONS: In contrast to adults, we did not find evidence for racial differences in survival outcomes following IHCA among children.

Background Racial disparities in survival among patients who had an in-hospital cardiac arrest (IHCA) have been linked to hospital-level factors. Objectives To determine whether nurse staffing is associated with survival disparities after IHCA. Research design Cross-sectional data from (1) the American Heart Association's Get With the Guidelines-Resuscitation database; (2) the University of Pennsylvania Multi-State Nursing Care and Patient Safety Survey; and (3) The American Hospital Association annual survey. Risk-adjusted logistic regression models, which took account of the hospital and patient characteristics, were used to determine the association of nurse staffing and survival to discharge for black and white patients. Subjects A total of 14,132 adult patients aged 18 and older between 2004 and 2010 in 75 hospitals in 4 states. Results In models that accounted for hospital and patient characteristics, the odds of survival to discharge was lower for black patients than white patients [odds ratio (OR)=0.70; 95% confidence interval (CI), 0.61-0.82]. A significant interaction was found between race and medical-surgical nurse staffing for survival to discharge, such that each additional patient per nurse lowered the odds of survival for black patients (OR=0.92; 95% CI, 0.87-0.97) more than white patients (OR=0.97; 95% CI, 0.93-1.00). Conclusions Our findings suggest that disparities in IHCA survival between black and white patients may be linked to the level of medical-surgical nurse staffing in the hospitals in which they receive care and that the benefit of being admitted to hospitals with better staffing may be especially pronounced for black patients.

An often overlooked facet of the indirect costs affecting working-age stroke survivors is the challenges experienced by those who return to work. This study quantified the productivity loss in 20 stroke survivors who returned to work which amounted to 53.0 missed work days and an average indirect cost of $10,298 (CAD) in the year following a stroke. Despite the quantified productivity loss, 75% of patients reported no significant disability and a high proportion were self-employed compared to the Canadian population, indicating that socioeconomic factors may be driving patient decisions to return to work.

Highlights • COVID-19 pandemic has changed the risk-benefit balance for cardiopulmonary resuscitation [CPR]. • Amongst many aerosol producing procedures performed on patients, CPR is a highly aerosol-generating procedure. • Available literature is inadequate to direct clinicians towards keeping low or high threshold for performing CPR in COVID-19 patient.

Aim of the study Since over 80% of sudden cardiac arrests occur in the home, cardiopulmonary resuscitation (CPR) training for family members of high-risk cardiac patients represents a promising intervention. The use of mobile application-based (mApp) CPR training may facilitate this approach, but evidence regarding its efficacy is lacking. Methods We conducted a multicenter, pragmatic, cluster-randomized trial assessing CPR training for family members of cardiac patients. The interventions were mApp (video, no manikin) and VSI (video + manikin). CPR skills were evaluated 6-months post-training. We hypothesized that chest compression (CC) rate from training with an mApp would be no worse than 5 compressions per minute (CPM) lower compared to VSI. Results From 01/2016 to 01/2018, we enrolled 1325 eligible participants (mean age 51.6 years, 68.2% female and 59.4% white). CPR skills were evaluated 6-months post-training in 541 participants (275 VSI, 266 mApp). Mean rate was 84.6 CPM (95% CI: 80.4, 88.6) in VSI, compared to 82.7 CPM (95% CI: 76.2, 89.1) in the mApp, and mean depth was 42.1 mm (95% CI: 40.3, 43.8) in VSI, compared to 38.9 mm (95% CI: 36.2, 41.6) in the mApp. After adjustment, the mean difference in CC rate was −2.3 CPM (95% CI −9.4, 4.8, p = 0.25, non-inferiority) and CC depth was −3.2 mm (95% CI −5.9, 0.1, p = 0.056). Conclusion In this large prospective trial of CPR skill retention for family members of cardiac patients, mApp training was associated with lower CC quality. Future work is required to understand additional approaches to improve CPR skill retention. Clinical Trial Registration URL: ClinicalTrials.gov, Identifier: NCT02548793 .

OBJECTIVES: To describe the content of reviews submitted on Yelp that pertain to nursing home physicians. DESIGN: Retrospective qualitative study. SETTING AND PARTICIPANTS: US nursing homes reviewed on Yelp in 2009 - 2018 with reviews that discussed nursing home physicians (N=375 nursing homes in 31 states). MEASUREMENTS: Content analysis was performed to detect recurrent themes and divergent ideas about nursing home physicians perceived by reviewers. RESULTS: Average rating among nursing homes with physician reviews was 2.0 (standard deviation 1.5, range 1-5). The major themes from content analysis of reviews that discussed physicians were perceived attitudes of clinicians toward patients and caregivers, physician communication with patients or caregivers, and perceived clinical expertise of the physicians. CONCLUSION: Unsolicited online reviews of nursing homes that comment on patient and caregiver perceptions of physician care represent a small but growing number of online comments about nursing home. These reviews contain important information about aspects of physician care valued by nursing home patients and caregivers. However, the sample of comments about physicians represents a small proportion of online reviews and is not representative of all nursing homes. As online reviews grow in number and become more representative, these data could be used by physicians to improve perceptions of their care by the NH patients and their families, and by NHs to inform expectations of their medical director and attending physicians.

Little is known about how discrimination in health care relates to inequities in hospital-based care because of limitations in the ability to measure discrimination. Consumer reviews offer a novel source of data to capture experiences of discrimination in health care settings.To examine how health care consumers perceive and report discrimination through public consumer reviews.This qualitative study assessed Yelp online reviews from January 1, 2011, to December 31, 2020, of 100 randomly selected acute care hospitals in the US. Word filtering was used to identify reviews potentially related to discrimination by using keywords abstracted from the Everyday Discrimination Scale, a commonly used questionnaire to measure discrimination. A codebook was developed through a modified grounded theory and qualitative content analysis approach to categorize recurrent themes of discrimination, which was then applied to the hospital reviews.Reported experiences of discrimination within a health care setting.Perceptions of how discrimination in health care is experienced and reported by consumers.A total of 10 535 reviews were collected. Reviews were filtered by words commonly associated with discriminatory experiences, which identified 2986 reviews potentially related to discrimination. Using the codebook, the team manually identified 182 reviews that described at least 1 instance of discrimination. Acts of discrimination were categorized by actors of discrimination (individual vs institution), setting (clinical vs nonclinical), and directionality (whether consumers expressed discriminatory beliefs toward health care staff). A total of 53 reviews (29.1%) were coded as examples of institutional racism; 89 reviews (48.9%) mentioned acts of discrimination that occurred in clinical spaces as consumers were waiting for or actively receiving care; 25 reviews (13.7%) mentioned acts of discrimination that occurred in nonclinical spaces, such as lobbies; and 66 reviews (36.3%) documented discrimination by the consumer directed at the health care workforce. Acts of discrimination are described through 6 recurrent themes, including acts of commission, omission, unprofessionalism, disrespect, stereotyping, and dehumanizing.In this qualitative study, consumer reviews were found to highlight recurrent patterns of discrimination within health care settings. Applying quality improvement tools, such as the Plan-Do-Study-Act cycle, to this source of data and this study's findings may help inform assessments and initiatives directed at reducing discrimination within the health care setting.

Background Google and Apple’s Exposure Notifications System (ENS) was developed early in the COVID-19 pandemic to complement existing contact tracing efforts while protecting user privacy. An analysis by the Associated Press released in December 2020 estimated approximately 1 in 14 people had downloaded apps in states one was available. In this study, we assessed the motivation and experience of individuals who downloaded ENS apps from the Google Play and Apple App Stores. Methods We collected review text, star rating, and date of rating for all the reviews on ENS apps in the Google Play and Apple App stores. We extracted the relative frequency of single words and phrases from reviews and created an open vocabulary language, with themes categorized by the research team, to study the salient themes around reviews with high (3–5 stars), neutral (3 stars), and negative (1–2 stars) ratings using logistic regression. Results Of 7622 reviews obtained from 26 states between 04/07/2020 to 03/31/2021, 6364 were from Google Play Store, and 1258 were from Apple App Store. We obtained reviews for a total of 38 apps, with 25 apps from the Google Play Store and 13 apps from the Apple Play Store. 78% of the reviews are either 1 star or 5 stars. Positive reviews were driven by ease of use, support for the state government in creating the app, and encouragement for others to download, as well as engage in other COVID-19 precautions. Negative and neutral reviews focused on issues with app functionality (i.e., installation and tracking errors). Conclusions Uptake was the largest barrier to success for ENS apps, but states can use insight from app store reviews to better position themselves if they choose to develop further public health apps.

The transmission of SARS-CoV-2 coronavirus has led to the COVID-19 pandemic. Nucleic acid testing while specific has limitations for mass surveillance. One alternative is the main protease (M(pro)) due to its functional importance in mediating the viral life cycle. Here, we describe a combination of modular substrate and gold colloids to detect M(pro) via visual readout. The strategy involves zwitterionic peptide that carries opposite charges at the C-/N-terminus to exploit the specific recognition by M(pro). Autolytic cleavage releases positively-charged moiety that assembles the nanoparticles with rapid color changes (t

Mining of uranium for defense-related purposes has left a substantial legacy of pollution that threatens human and environmental health. Contaminated waters in the arid southwest are of particular concern, as water resource demand and water scarcity issues become more pronounced. The development of remediation strategies to treat uranium impacted waters will become increasingly vital to meet future water needs. Ion flotation is one technology with the potential to address legacy uranium contamination. The green biosurfactant rhamnolipid has been shown to bind uranium and act as an effective collector in ion flotation. In this study, uranium contaminated groundwater (∼440 μg L−1 U) from the Monument Valley processing site in northeast Arizona was used as a model solution to test the uranium removal efficacy of ion flotation with biosynthetic (bio-mRL) and three synthetic monorhamnolipids with varying hydrophobic chain lengths: Rha-C10-C10, Rha-C12-C12, and Rha-C14-C14. At the groundwater's native pH 8, and at an adjusted pH 7, no uranium was removed from solution by any collector. However, at pH 6.5 bio-mRL and Rha-C10-C10 removed 239.2 μg L−1 and 242.4 μg L−1 of uranium, respectively. By further decreasing the pH to 5.5, bio-mRL was able to reduce the uranium concentration to near or below the Environmental Protection Agency maximum contaminant level of 30 μg L−1. For the Rha-C12-C12 and Rha-C14-C14 collector ligands, decreasing the pH to 7 or below reduced the foam stability and quantity, such that these collectors were not suitable for treating this groundwater. To contextualize the results, a geochemical analysis of the groundwater was conducted, and a consideration of uranium speciation is described. Based on this study, the efficacy of monorhamnolipid-based ion flotation in real world groundwater has been demonstrated with suitable solution conditions and collectors identified.

Background Online platforms are used to manage aspects of our lives including health outside clinical settings. Little is known about the effectiveness of using online platforms to manage hypertension. We assessed effects of tweeting/retweeting cardiovascular health content by individuals with poorly controlled hypertension on systolic blood pressure (SBP) and patient activation. Methods and Results We conducted this 2‐arm randomized controlled trial. Eligibility included diagnosis of hypertension; SBP >140 mm Hg; and an existing Twitter account or willingness to create one to follow study Twitter account. Intervention arm was asked to tweet/retweet health content 2×/week using a specific hashtag for study duration (6 months). The main measures include primary outcome change in SBP; secondary outcome point change in Patient Activation Measure (PAM). We remotely recruited and enrolled 611 participants, mean age 52 (SD, 11.7). Mean baseline SBP for the intervention group was 155.8 and for control was 155.6. At 6 months, mean SBP for intervention group was 137.6 and for control was 135.7. Mean change in SBP from baseline to 6 months for the intervention group was −18.5 and for control was −19.8 (P =0.48). Mean PAM at baseline for the intervention group was 70.3 for control was 72.7. At 6 months, mean PAM scores were 71.1 (intervention) and 75.6 (control). Mean change in PAM score for the intervention group was 0.0 and for control was 3.3 ( P =0.12). Conclusions Recruiting and engaging patients and collecting outcome measures remotely are feasible using Twitter. Encouraging patients with poorly controlled hypertension to tweet or retweet health content on Twitter did not improve SBP or PAM score at 6 months. Registration URL: https://www.clinicaltrials.gov . Unique identifier: NCT02622256.

Background In 2020, the number of internet users surpassed 4.6 billion. Individuals who create and share digital data can leave a trail of information about their habits and preferences that collectively generate a digital footprint. Studies have shown that digital footprints can reveal important information regarding an individual’s health status, ranging from diet and exercise to depression. Uses of digital applications have accelerated during the COVID-19 pandemic where public health organizations have utilized technology to reduce the burden of transmission, ultimately leading to policy discussions about digital health privacy. Though US consumers report feeling concerned about the way their personal data is used, they continue to use digital technologies. Objective This study aimed to understand the extent to which consumers recognize possible health applications of their digital data and identify their most salient concerns around digital health privacy. Methods We conducted semistructured interviews with a diverse national sample of US adults from November 2018 to January 2019. Participants were recruited from the Ipsos KnowledgePanel, a nationally representative panel. Participants were asked to reflect on their own use of digital technology, rate various sources of digital information, and consider several hypothetical scenarios with varying sources and health-related applications of personal digital information. Results The final cohort included a diverse national sample of 45 US consumers. Participants were generally unaware what consumer digital data might reveal about their health. They also revealed limited knowledge of current data collection and aggregation practices. When responding to specific scenarios with health-related applications of data, they had difficulty weighing the benefits and harms but expressed a desire for privacy protection. They saw benefits in using digital data to improve health, but wanted limits to health programs’ use of consumer digital data. Conclusions Current privacy restrictions on health-related data are premised on the notion that these data are derived only from medical encounters. Given that an increasing amount of health-related data is derived from digital footprints in consumer settings, our findings suggest the need for greater transparency of data collection and uses, and broader health privacy protections.

Systemic amyloidosis – which causes organ dysfunction by extracellular deposition of misfolded protein fibrils into various organs – is substantially underdiagnosed. Recent breakthroughs in highly ...

Objective To assess the availability and price of naloxone as well as pharmacy staff knowledge of the standing order for naloxone in Pennsylvania pharmacies. Methods We conducted a telephone audit study from December 2016 to April 2017 in which staff from Pennsylvania pharmacies were surveyed to evaluate naloxone availability, staff understanding of the naloxone standing order, and out-of-pocket cost of naloxone. Results Responses were obtained from 682 of 758 contacted pharmacies (90% response rate). Naloxone was stocked (ie, available for dispensing) in 306 (45%) pharmacies surveyed. Of the 376 (55%) pharmacies that did not stock naloxone, 118 (31%) stated that they could place an order for naloxone for pickup within 1 business day. Responses by pharmacy staff to questions about key components of the standing order for naloxone were collected from 581 of the 682 pharmacies who participated in the survey (85%). Of the 581 pharmacy staff members who stated that they either stocked or could order naloxone, 64% correctly answered all questions pertaining to understanding of the naloxone standing order. The respective median out-of-pocket prices stated in the audit varied by formulation and ranged from $50 to $4000. Staff from national pharmacies were significantly more likely than staff from regional/local chain and non-chain pharmacies to correctly answer that a prescription was not required to obtain naloxone (68.5%, 57.7%, and 52.4% respectively, (P = 0.0045). Conclusions Multiple barriers to naloxone access exist in pharmacies across a large, diverse state, despite the presence of a standing order to facilitate such access. Limited availability of naloxone in pharmacies, lack of knowledge or understanding by pharmacy staff of the standing order, and variability in out-of-pocket cost for this drug are among these potential barriers. Regulatory or legal incentives for pharmacies or drug manufacturers, education efforts directed toward pharmacy staff members, or other interventions may be needed to increase naloxone availability in pharmacies.

The PackH2O water backpack carrier was developed to provide safe storage and relieve stress of head-loading during water transport with traditional containers such as buckets and jerry cans. We conducted an evaluation to assess both self-reported and observed use over a 6-month period between November 2014 and May 2015. A total of 866 packs were distributed to 618 households in six communities in rural Haiti, and 431 and 441 households were surveyed at midline and end line, respectively. We performed linear regression to assess change of self-reported use over time. Although 79.3% of respondents reported continued use of the 20-L pack after 6 months, other measures of self-reported use were low, with only 16.8% reporting to have used the pack the last time they collected water and 10.3% preferring the pack over other water collection containers. In addition, only 10.2% of all people collecting water at community sources were observed using packs and 12.0% of all households surveyed had water in the pack at the time of visit. Pack use varied by community and demographics. Although women were targeted during distribution, men preferred the pack and were more commonly observed using it at the community water sources. In conclusion, the use of the PackH2O was not widely adopted in rural Haiti; however, further research is needed to assess the pack acceptance in areas where back-loading is more common and in emergency settings.

IMPORTANCE: Pulse oximetry guides triage and therapy decisions for COVID-19. Whether reported racial inaccuracies in oxygen saturation measured by pulse oximetry are present in patients with COVID-19 and associated with treatment decisions is unknown. OBJECTIVE: To determine whether there is differential inaccuracy of pulse oximetry by race or ethnicity among patients with COVID-19 and estimate the association of such inaccuracies with time to recognition of eligibility for oxygen threshold–specific COVID-19 therapies. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study of clinical data from 5 referral centers and community hospitals in the Johns Hopkins Health System included patients with COVID-19 who self-identified as Asian, Black, Hispanic, or White. EXPOSURES: Concurrent measurements (within 10 minutes) of oxygen saturation levels in arterial blood (SaO(2)) and by pulse oximetry (SpO(2)). MAIN OUTCOMES AND MEASURES: For patients with concurrent SpO(2) and SaO(2) measurements, the proportion with occult hypoxemia (SaO(2)

Opioid overdose is the leading cause of death for Americans 25 to 64 years of age, and opioid use disorder affects >2 million Americans. The epidemiology of opioid-associated out-of-hospital cardiac arrest in the United States is changing rapidly, with exponential increases in death resulting from synthetic opioids and linear increases in heroin deaths more than offsetting modest reductions in deaths from prescription opioids. The pathophysiology of polysubstance toxidromes involving opioids, asphyxial death, and prolonged hypoxemia leading to global ischemia (cardiac arrest) differs from that of sudden cardiac arrest. People who use opioids may also develop bacteremia, central nervous system vasculitis and leukoencephalopathy, torsades de pointes, pulmonary vasculopathy, and pulmonary edema. Emergency management of opioid poisoning requires recognition by the lay public or emergency dispatchers, prompt emergency response, and effective ventilation coupled to compressions in the setting of opioid-associated out-of-hospital cardiac arrest. Effective ventilation is challenging to teach, whereas naloxone, an opioid antagonist, can be administered by emergency medical personnel, trained laypeople, and the general public with dispatcher instruction to prevent cardiac arrest. Opioid education and naloxone distributions programs have been developed to teach people who are likely to encounter a person with opioid poisoning how to administer naloxone, deliver high-quality compressions, and perform rescue breathing. Current American Heart Association recommendations call for laypeople and others who cannot reliably establish the presence of a pulse to initiate cardiopulmonary resuscitation in any individual who is unconscious and not breathing normally; if opioid overdose is suspected, naloxone should also be administered. Secondary prevention, including counseling, opioid overdose education with take-home naloxone, and medication for opioid use disorder, is important to prevent recurrent opioid overdose.

Digital health and technologies are essential to curbing the novel coronavirus 2019 (COVID-19) pandemic especially with shelter-in-place and social distancing orders. Epidemiologists and public health officials are tapping into frequently used technologies like wearables, digital devices, digital and social media data to detect and validate COVID-19 symptoms throughout the pandemic, especially during early stages when symptoms were evolving. In this article, we review how digital technologies and social media platforms can identify and inform our understanding of COVID-19 pandemic surveillance and recovery efforts. We analyze Reddit narrative posts and comments on r/covidlonghaulers to demonstrate how social media can be used to better understand COVID-19 pandemic. Using Reddit data, we highlight long haulers' patient journeys and shed light on potential consequences of their condition. We identified 21 themes, of which the following were significantly associated with valence: COVID-19 Symptoms (r = -0.037), medical advice (r = -0.030), medical system (r = -0.029), bodily processes (r = -0.020), questions (r = 0.024), physical activity (r = 0.033), self-differentials and negations (r = 0.040) and supplements (r = 0.025). Our brief literature review and analysis of r/covidlonghaulers narrative posts demonstrate the value of digital technologies and social media platforms as they act as modern avenues for public health, safety, and well-being.

The speed at which social media is propagating COVID-19 misinformation and its potential reach and impact is growing, yet little work has focused on the potential applications of these data for informing public health communication about COVID-19 vaccines. We used Twitter to access a random sample of over 78 million vaccine-related tweets posted between December 1, 2020 and February 28, 2021 to describe the geographical and temporal variation in COVID-19 vaccine discourse. Urban suburbs posted about equitable distribution in communities, college towns talked about in-clinic vaccinations near universities, evangelical hubs posted about operation warp speed and thanking God, exurbs posted about the 2020 election, Hispanic centers posted about concerns around food and water, and counties in the ACP African American South posted about issues of trust, hesitancy, and history. The graying America ACP community posted about the federal government's failures; rural middle American counties posted about news press conferences. Topics related to allergic and adverse reactions, misinformation around Bill Gates and China, and issues of trust among Black Americans in the healthcare system were more prevalent in December, topics related to questions about mask wearing, reaching herd immunity and natural infection, and concerns about nursing home residents and workers increased in January, and themes around access to black communities, waiting for appointments, keeping family safe by vaccinating and fighting online misinformation campaigns were more prevalent in February. Twitter discourse around COVID-19 vaccines in the United States varied significantly across different communities and changed over time; these insights could inform targeted messaging and mitigation strategies.

Background As policy makers continue to shape the national and local responses to the COVID-19 pandemic, the information they choose to share and how they frame their content provide key insights into the public and health care systems. Objective We examined the language used by the members of the US House and Senate during the first 10 months of the COVID-19 pandemic and measured content and sentiment based on the tweets that they shared. Methods We used Quorum (Quorum Analytics Inc) to access more than 300,000 tweets posted by US legislators from January 1 to October 10, 2020. We used differential language analyses to compare the content and sentiment of tweets posted by legislators based on their party affiliation. Results We found that health care–related themes in Democratic legislators’ tweets focused on racial disparities in care (odds ratio [OR] 2.24, 95% CI 2.22-2.27; P Conclusions Divergent language use on social media corresponds to the partisan divide in the first several months of the course of the COVID-19 public health crisis.

We sought to evaluate whether there was variability in language used on social media across different time points of pregnancy (before, during, and after pregnancy, as well as by trimester and parity). Consenting patients shared access to their individual Facebook posts and electronic medical records. Random forest models trained on Facebook posts could differentiate first trimester of pregnancy from 3 months before pregnancy (F1 score = .63) and from a random 3-month time period (F1 score = .64). Posts during pregnancy were more likely to include themes about family (β = .22), food craving (β = .14), and date/times (β = .13), while posts 3 months prior to pregnancy included themes about social life (β = .30), sleep (β = .31), and curse words (β = .27), and 3 months post-pregnancy included themes of gratitude (β = .17), health appointments (β = .21), and religiosity (β = .18). Users who were pregnant for the first time were more likely to post about lack of sleep (β = .15), activities of daily living (β = .09), and communication (β = .08) compared with those who were pregnant after having a child who posted about others’ birthdays (β = .16) and life events (.12). A better understanding about social media timelines can provide insight into lifestyle choices that are specific to pregnancy.

Nucleic acid species have become a viable prognostic and diagnostic biomarker for a diverse class of diseases, particularly cancer. However, the low femtomolar to attomolar concentration of nucleic acids in human samples require sensors with excellent detection capabilities; many past and current platforms fall short or are economically difficult. Strand-mediated signal amplifiers such as hybridization chain reaction (HCR) and catalytic hairpin assembly (CHA) are superior methods for detecting trace amounts of biomolecules because one target molecule triggers the continuous production of synthetic double-helical DNA. This cascade event is highly discriminatory to the target via sequence specificity, and it can be coupled with fluorescence, electrochemistry, magnetic moment, and electrochemiluminescence for signal reporting. Here, we review recent advances in enhancing the sensing abilities in HCR and CHA including improved live-cell imaging efficiency, lowered limit of detection, and optimized multiplexity. We further outline the potential for clinical translatability of HCR and CHA by summarizing progress in employing these two tools for in vivo imaging, human sample testing, and sensing-treating dualities. We finally discuss their future prospects and suggest clinically-relevant experiments to supplement further related research.

This qualitative study assesses the association between digital technology and emerging challenges for health policy and privacy., Key Points Question What challenges for health privacy are associated with digital technology? Findings In this qualitative study, 5 key challenges for health privacy were associated with digital technology: invisibility (people unaware of how they are tracked), inaccuracy (flawed data), immortality (data never expire), marketability (data are frequently bought and sold), and identifiability (individuals can be readily reidentified). Meaning The findings suggest that a sector-specific approach to digital technology privacy in the US may be associated with inadequate health privacy protections., Importance Digital technology is part of everyday life. Digital interactions generate large amounts of data that can reveal information about the health of individual consumers (the digital health footprint). Objective Τo describe health privacy challenges associated with digital technology. Design, Setting, and Participants For this qualitative study, In-depth, semistructured, qualitative interviews were conducted with 26 key experts from diverse fields in the US between January 1 and July 31, 2018. Open-ended questions and hypothetical scenarios were used to identify sources of digital information that contribute to consumers’ health-relevant digital footprints and challenges for health privacy. Participants also completed a survey instrument on which they rated the health relatedness of digital data sources. Main Outcomes and Measures Health policy challenges associated with digital technology based on qualitative responses to expert interviews. Results Although experts’ ratings of digital data sources suggested a possible distinction between health and nonhealth data, qualitative interviews uniformly indicated that all data can be health data, particularly when aggregated across sources and time. Five key characteristics of the digital health footprint were associated with health privacy policy challenges: invisibility (people are unaware of how their data are tracked), inaccuracy (data in the digital health footprint can be inaccurate), immortality (data have no expiration date and are aggregated over time), marketability (data have immense commercial value and are frequently bought and sold), and identifiability (individuals can be readily reidentified and anonymity is nearly impossible to achieve). There are virtually no regulatory structures in the US to protect health privacy in the context of the digital health footprint. Conclusions and Relevance The findings suggest that a sector-specific approach to digital technology privacy in the US may be associated with inadequate health privacy protections.

Key Points Question Are reviews of skilled nursing facilities posted on review websites associated with patient rehospitalization rates? Findings In this cross-sectional study of 1536 skilled nursing facilities, facilities with the highest rating on 2 review websites had 2.0% lower rehospitalization rates compared with the skilled nursing facilities with the lowest rating. Qualitative comments captured perceptions of experience with skilled nursing facilities not reported elsewhere (eg, quality of physical infrastructure and equipment, staff attitudes and communication with caregivers). Meaning These findings suggest that unsolicited online reviews could provide salient information to inform skilled nursing facility selection., Importance There are areas of skilled nursing facility (SNF) experience of importance to the public that are not currently included in public reporting initiatives on SNF quality. Whether patients, hospitals, and payers can leverage the information available from unsolicited online reviews to reduce avoidable rehospitalizations from SNFs is unknown. Objectives To assess the association between rehospitalization rates and online ratings of SNFs; to compare the association of rehospitalization with ratings from a review website vs Medicare Nursing Home Compare (NHC) ratings; and to identify specific topics consistently reported in reviews of SNFs with the highest vs lowest rehospitalization rates using natural language processing. Design, Setting, and Participants A retrospective cross-sectional study of 1536 SNFs with online reviews on Yelp (a website that allows consumers to rate and review businesses and services, scored on a 1- to 5-star rating scale, with 1 star indicating the lowest rating and 5 stars indicating the highest rating) posted between January 1, 2014, and December 31, 2018. The combined data set included 1536 SNFs with 8548 online reviews, NHC ratings, and readmission rates. Main Outcomes and Measures A mean rating from the review website was calculated through the end of each year. Risk-standardized rehospitalization rates were obtained from NHC. Linear regression was used to measure the association between the rehospitalization rate of a SNF and the online ratings. Natural language processing was used to identify topics associated with reviews of SNFs in the top and bottom quintiles of rehospitalization rates. Results The 1536 SNFs in the sample had a median of 6 reviews (interquartile range, 3-13 reviews), with a mean (SD) review website rating of 2.7 (1.1). The SNFs with the highest rating on both the review website and NHC had 2.0% lower rehospitalization rates compared with the SNFs with the lowest rating on both websites (21.3%; 95% CI, 20.7%-21.8%; vs 23.3%; 95% CI, 22.7%-24.0%; P = .04). Compared with the NHC ratings alone, review website ratings were associated with an additional 0.4% of the variation in rehospitalization rates across SNFs (adjusted R2 = 0.009 vs adjusted R2 = 0.013; P = .003). Thematic analysis of qualitative comments on the review website for SNFs with high vs low rehospitalization rates identified several areas of importance to the reviewers, such as the quality of physical infrastructure and equipment, staff attitudes and communication with caregivers. Conclusions and Relevance Skilled nursing facilities with the best rating on both a review website and NHC had slightly lower rehospitalization rates than SNFs with the best rating on NHC alone. However, there was marked variation in the volume of reviews, and many SNF characteristics were underrepresented. Further refinement of the review process is warranted., This cross-sectional study of skilled nursing facilities examines the association between rehospitalization rates from skilled nursing facilities and online consumer ratings of those facilities.

Forecasting healthcare utilization has the potential to anticipate care needs, either accelerating needed care or redirecting patients toward care most appropriate to their needs. While prior research has utilized clinical information to forecast readmissions, analyzing digital footprints from social media can inform our understanding of individuals’ behaviors, thoughts, and motivations preceding a healthcare visit. We evaluate how language patterns on social media change prior to emergency department (ED) visits and inpatient hospital admissions in this case-crossover study of adult patients visiting a large urban academic hospital system who consented to share access to their history of Facebook statuses and electronic medical records. An ensemble machine learning model forecasted ED visits and inpatient admissions with out-of-sample cross-validated AUCs of 0.64 and 0.70 respectively. Prior to an ED visit, there was a significant increase in depressed language (Cohen’s d = 0.238), and a decrease in informal language (d = 0.345). Facebook posts prior to an inpatient admission showed significant increase in expressions of somatic pain (d = 0.267) and decrease in extraverted/social language (d = 0.357). These results are a first step in developing methods to utilize user-generated content to characterize patient care-seeking context which could ultimately enable better allocation of resources and potentially early interventions to reduce unplanned visits.

Background Twitter is a potentially valuable tool for public health officials and state Medicaid programs in the United States, which provide public health insurance to 72 million Americans. Objective We aim to characterize how Medicaid agencies and managed care organization (MCO) health plans are using Twitter to communicate with the public. Methods Using Twitter’s public application programming interface, we collected 158,714 public posts (“tweets”) from active Twitter profiles of state Medicaid agencies and MCOs, spanning March 2014 through June 2019. Manual content analyses identified 5 broad categories of content, and these coded tweets were used to train supervised machine learning algorithms to classify all collected posts. Results We identified 15 state Medicaid agencies and 81 Medicaid MCOs on Twitter. The mean number of followers was 1784, the mean number of those followed was 542, and the mean number of posts was 2476. Approximately 39% of tweets came from just 10 accounts. Of all posts, 39.8% (63,168/158,714) were classified as general public health education and outreach; 23.5% (n=37,298) were about specific Medicaid policies, programs, services, or events; 18.4% (n=29,203) were organizational promotion of staff and activities; and 11.6% (n=18,411) contained general news and news links. Only 4.5% (n=7142) of posts were responses to specific questions, concerns, or complaints from the public. Conclusions Twitter has the potential to enhance community building, beneficiary engagement, and public health outreach, but appears to be underutilized by the Medicaid program.

Summary Consensus on Science and Treatment recommendations aim to balance the benefits of early resuscitation with the potential for harm to care providers during the COVID-19 pandemic. Chest compressions and cardiopulmonary resuscitation have the potential to generate aerosols. During the current COVID-19 pandemic lay rescuers should consider compressions and public-access defibrillation. Lay rescuers who are willing, trained and able to do so, should consider providing rescue breaths to infants and children in addition to chest compressions. Healthcare professionals should use personal protective equipment for aerosol generating procedures during resuscitation and may consider defibrillation before donning personal protective equipment for aerosol generating procedures.

Key Points Question What factors are associated with consumers’ willingness to share their digital information for health-related uses? Findings In this survey study of 3543 US adults, consumer willingness to share digital data was associated with a range of factors, most importantly the source and type of data. Certain data (eg, financial, social media, public cameras) were viewed as more sensitive than electronic health record data, but underlying views on digital health privacy were strongly associated with consumer views on sharing any digital information. Meaning In this study, many consumers were reluctant to share their digital data for health-related uses, suggesting that new privacy protections may be needed to increase consumer trust., This survey study evaluates the factors associated with consumers’ willingness to share their digital health information for research, health care, and commercial uses., Importance Consumers routinely generate digital information that reflects on their health. Objective To evaluate the factors associated with consumers’ willingness to share their digital health information for research, health care, and commercial uses. Design, Setting, and Participants This national survey with an embedded conjoint experiment recruited US adults from a nationally representative sample, with oversampling of Black and Hispanic panel members. Participants were randomized to 15 scenarios reflecting use cases for consumer digital information from a total of 324 scenarios. Attributes of the conjoint analysis included 3 uses, 3 users, 9 sources of digital information, and 4 relevant health conditions. The survey was conducted from July 10 to 31, 2020. Main Outcomes and Measures Participants rated each conjoint profile on a 5-point Likert scale (1-5) measuring their willingness to share their personal digital information (with 5 indicating the most willingness to share). Results reflect mean differences in this scale from a multivariable regression model. Results Among 6284 potential participants, 3543 (56%) responded. A total of 1862 participants (53%) were female, 759 (21%) identified as Black, 834 (24%) identified as Hispanic, and 1274 (36%) were 60 years or older. In comparison with information from electronic health care records, participants were less willing to share information about their finances (coefficient, −0.56; 95% CI, −0.62 to −0.50), places they visit from public cameras (coefficient, −0.28; 95% CI, −0.33 to −0.22), communication on social media (coefficient, −0.20; 95% CI −0.26 to −0.15), and their search history from internet search engines (coefficient, −0.11; 95% CI, −0.17 to −0.06). They were more willing to share information about their steps from applications on their phone (coefficient, 0.22; 95% CI, 0.17-0.28). Among the conjoint attributes, the source of information (importance weight: 59.1%) was more important than the user (17.3%), use (12.3%), and health condition (11.3%). Four clusters of consumers emerged from the sample with divergent privacy views. While the context of use was important, these 4 groups expressed differences in their overall willingness to share, with 337 participants classified as never share; 1116 classified as averse to sharing (mean rating, 1.64; 95% CI, 1.62-1.65); 1616 classified as uncertain about sharing (mean rating, 2.84; 95% CI, 2.81-2.86); and 474 classified as agreeable to sharing (mean rating, 4.18; 95% CI, 4.16-4.21). Respondents who identified as White and non-Hispanic, had higher income, and were politically conservative were more likely to be in a cluster that was less willing to share (ie, never or averse clusters). Conclusions and Relevance These findings suggest that although consumers’ willingness to share personal digital information for health purposes is associated with the context of use, many have strong underlying privacy views that affect their willingness to share. New protections may be needed to give consumers confidence to be comfortable sharing their personal information.

Screening for hepatitis B (HBV) among high-risk young adults can help prevent its transmission and lead to earlier treatment and better long-term health outcomes. Yet few interventions have focused on increasing HBV awareness among young adults. Social media (SM) may be an effective method for disseminating information and engaging young adults about HBV. In this pilot study, qualitative and quantitative methods were applied to collect information on current use and perceptions toward SM through semistructured interviews and focus groups with young Chinese and Vietnamese adults and community leaders from local organizations in Philadelphia. Additionally, survey items were collected during the interviews and focus groups to provide quantitative data. Results from the interviews provided evidence that young adults and local organizations are already using SM and are open to using it to share general health information that is specific to their community. The focus groups suggested that using group pages or chats could be most appropriate for reaching young adults and that credible sources should be used to deliver messages that are tailored to the audience. The findings from this study will support the development of an SM intervention aimed at increasing HBV awareness.