Posted in Error: Did the CDC's Retraction of Aerosol Guidance Undercut Its Public Reputation?

While there is ample research on the influence of retracted scientific publications on author reputation, less is known about how a health organization's retraction of scientific guidance can impact public perceptions of the organization. This study centers on the aerosol guidance retraction of the Centers for Disease Control and Prevention (CDC) in 2020. X/Twitter social media data were collected via ForSight from September 15 to October 8, 2020, with a machine learning algorithm specifically developed and used to detect sentiment toward the CDC.

Can algorithms Replace Expert Knowledge for Causal Inference? A Case Study on Novice Use of Causal Discovery.

Background: With growing interest in causal inference and machine learning among epidemiologists, there is increasing discussion of causal discovery algorithms for guiding covariate selection. We present a case study of novice application of causal discovery tools and attempt to validate the results against a well-established causal relationship.

Methods: As a case study, we attempted causal discovery of relationships relevant to the effect of adherence on mortality in the placebo arm of the Coronary Drug Project (CDP) dataset.

Specifying a target trial protocol to estimate the effect of preconception treatment of periodontitis on time-to-pregnancy: A commentary and applied example.

Background: The target trial framework was developed as a strategy to design and analyze observational epidemiologic studies with the aim of reducing bias due to analytic decisions. It involves designing a hypothetical randomized trial to answer a question of interest and systematically considering how to use observational data to emulate each trial component.

Aims: The primary aim of this paper is to provide a detailed example of the application of the target trial framework to a research question in oral epidemiology.

Synthesizing Subject-matter Expertise for Variable Selection in Causal Effect Estimation: A Case Study.

Background: Causal graphs are an important tool for covariate selection but there is limited applied research on how best to create them. Here, we used data from the Coronary Drug Project trial to assess a range of approaches to directed acyclic graph (DAG) creation. We focused on the effect of adherence on mortality in the placebo arm, since the true causal effect is believed with a high degree of certainty.

Looking under the lamp-post: quantifying the performance of contact tracing in the United States during the SARS-CoV-2 pandemic.

Contact tracing forms a crucial part of the public-health toolbox in mitigating and understanding emergent pathogens and nascent disease outbreaks. Contact tracing in the United States was conducted during the pre-Omicron phase of the ongoing COVID-19 pandemic. This tracing relied on voluntary reporting and responses, often using rapid antigen tests due to lack of accessibility to PCR tests.

Rethinking the pros and cons of randomized controlled trials and observational studies in the era of big data and advanced methods: a panel discussion.

Randomized controlled trials (RCTs) have traditionally been considered the gold standard for medical evidence. However, in light of emerging methodologies in data science, many experts question the role of RCTs. Within this context, experts in the USA and Canada came together to debate whether the primacy of RCTs as the gold standard for medical evidence, still holds in light of recent methodological advances in data science and in the era of big data.

Causal relationships between pain, medical treatments, and knee osteoarthritis: A graphical causal model to guide analyses.

Objective: Randomized controlled trials (RCTs) are a gold standard for estimating the benefits of clinical interventions, but their decision-making utility can be limited by relatively short follow-up time. Longer-term follow-up of RCT participants is essential to support treatment decisions. However, as time from randomization accrues, loss to follow-up and competing events can introduce biases and require covariate adjustment even for intention-to-treat effects.

Trends in buprenorphine dosage and days supplied for new treatment episodes for opioid use disorder, 2010-2019.

Background: Buprenorphine reduces risk of opioid overdose mortality. However, its benefits are limited by low retention, particularly in early treatment. Optimizing initial dosage may impact retention.

Comparative Effectiveness of Dynamic Treatment Strategies for Medication Use and Dosage: Emulating a Target Trial Using Observational Data.

Background: Availability of detailed data from electronic health records (EHRs) has increased the potential to examine the comparative effectiveness of dynamic treatment strategies using observational data. Inverse probability (IP) weighting of dynamic marginal structural models can control for time-varying confounders. However, IP weights for continuous treatments may be sensitive to model choice.

Preconception Periodontitis and Risk of Spontaneous Abortion in a Prospective Cohort Study.

Few studies have evaluated the association between periodontitis and spontaneous abortion (SAB), and all had limitations. We used data from the Pregnancy Study Online (PRESTO), a prospective preconception cohort study of 3,444 pregnancy planners in the United States and Canada (2019-2022), to address this question. Participants provided self-reported data on periodontitis diagnosis, treatment, and symptoms of severity (i.

Looking under the lamp-post: quantifying the performance of contact tracing in the United States during the SARS-CoV-2 pandemic.

Contact tracing forms a crucial part of the public-health toolbox in mitigating and understanding emergent pathogens and nascent disease outbreaks. Contact tracing in the United States was conducted during the pre-Omicron phase of the ongoing COVID-19 pandemic. This tracing relied on voluntary reporting and responses, often using rapid antigen tests (with a high false negative rate) due to lack of accessibility to PCR tests.

The influence of personality on psychological safety, the presence of stress and chosen professional roles in the healthcare environment.

Healthcare teams are expected to deliver high quality and safe clinical care, a goal facilitated by an environment of psychological safety. We hypothesised that an individual's personality would influence psychological safety, perceived stressors in the clinical environment and confer a suitability for different professional roles. Staff members were recruited from the Emergency or Critical Care Departments of one National Health Service Trust.

Emulating Target Trials to Avoid Immortal Time Bias - An Application to Antibiotic Initiation and Preterm Delivery.

Background: Randomized trials in pregnancy are extremely challenging, and observational studies are often the only option to evaluate medication safety during pregnancy. However, such studies are often susceptible to immortal time bias if treatment initiation occurs after time zero of follow-up. We describe how emulating a sequence of target trials avoids immortal time bias and apply the approach to estimate the safety of antibiotic initiation between 24 and 37 weeks gestation on preterm delivery.

A randomized trial of web-based fertility-tracking software and fecundability.

Objective: To assess the effect of randomization to FertilityFriend.com, a mobile computing fertility-tracking app, on fecundability.

Design: Parallel non-blinded randomized controlled trial nested within the Pregnancy Study Online (PRESTO), a North American preconception cohort.

Implementation of a Device Briefing Tool reduces interruptions in surgery: A nonrandomized controlled pilot trial.

Background: Interruptions in operative flow are known to increase team stress and errors in the operating room. Device-related interruptions are an increasing area of focus for surgical safety, but common safety processes such as the Surgical Safety Checklist do not adequately address surgical devices. We assessed the impact of the Device Briefing Tool, a communication instrument for surgical teams, on device-related interruptions in a large academic referral center in Singapore.

Vascular phenotypes in early hypertension.

The study characterises vascular phenotypes of hypertensive patients utilising machine learning approaches. Newly diagnosed and treatment-naïve primary hypertensive patients without co-morbidities (aged 18-55, n = 73), and matched normotensive controls (n = 79) were recruited (NCT04015635). Blood pressure (BP) and BP variability were determined using 24 h ambulatory monitoring.

Could oral health care professionals help increase human papillomavirus vaccination rates by engaging patients in discussions?

Background: Oral health care professionals are well positioned to contribute to the prevention of human papillomavirus (HPV)-related oropharyngeal and other HPV-related cancers through engaging patients in conversations about HPV vaccination. This scoping review evaluates evidence regarding oral health care provider knowledge of, and discussion related to, HPV prevention, transmission, and associated risks, including oropharyngeal cancer. This review outlines relevant barriers to, and facilitators of, this knowledge and discussion.

Exploring the working environment of Hospital Managers: a mixed methods study investigating stress, stereotypes, psychological safety and individual resilience.

Background: Hospital managers are responsible for the delivery of organisational strategy, development of clinical services and maintaining quality standards. There is limited research on hospital managers, in particular how stress manifests and impacts managers and the presence of individual resilience. Managers must work closely with clinical colleagues, however these relationships can be hindered by the perception of stereotyping and differing priorities.

Lifting Universal Masking in Schools - Covid-19 Incidence among Students and Staff.

Background: In February 2022, Massachusetts rescinded a statewide universal masking policy in public schools, and many Massachusetts school districts lifted masking requirements during the subsequent weeks. In the greater Boston area, only two school districts - the Boston and neighboring Chelsea districts - sustained masking requirements through June 2022. The staggered lifting of masking requirements provided an opportunity to examine the effect of universal masking policies on the incidence of coronavirus disease 2019 (Covid-19) in schools.

Spillover benefit of pre-exposure prophylaxis for HIV prevention: evaluating the importance of effect modification using an agent-based model.

We developed an agent-based model using a trial emulation approach to quantify effect measure modification of spillover effects of pre-exposure prophylaxis (PrEP) for HIV among men who have sex with men (MSM) in the Atlanta-Sandy Springs-Roswell metropolitan area, Georgia. PrEP may impact not only the individual prescribed, but also their partners and beyond, known as spillover. We simulated a two-stage randomised trial with eligible components (≥3 agents with ≥1 HIV+ agent) first randomised to intervention or control (no PrEP).

Utility of a Device Briefing Tool to Improve Surgical Safety.

Introduction: Clear communication around surgical device use is crucial to patient safety. We evaluated the utility of the Device Briefing Tool (DBT) as an adjunct to the Surgical Safety Checklist.

Methods: A nonrandomized, controlled pilot of the DBT was conducted with surgical teams at an academic referral center.

Causal and Associational Language in Observational Health Research: A Systematic Evaluation.

We estimated the degree to which language used in the high-profile medical/public health/epidemiology literature implied causality using language linking exposures to outcomes and action recommendations; examined disconnects between language and recommendations; identified the most common linking phrases; and estimated how strongly linking phrases imply causality. We searched for and screened 1,170 articles from 18 high-profile journals (65 per journal) published from 2010-2019. Based on written framing and systematic guidance, 3 reviewers rated the degree of causality implied in abstracts and full text for exposure/outcome linking language and action recommendations.