Electronic nudges to increase influenza vaccination uptake in Denmark: a nationwide, pragmatic, registry-based, randomised implementation trial

Electronic Health Record Alert With Heart Failure Risk and Sodium Glucose Cotransporter 2 Inhibitor Prescriptions in Diabetes: A Randomized Clinical Trial

BACKGROUND

Sodium glucose cotransporter 2 inhibitors (SGLT2i) prevent heart failure (HF) in patients with type 2 diabetes mellitus (T2DM) but prescription rates are low. The effect of an electronic health record (EHR) alert notifying providers of patients' estimated risk of developing HF on SGTL2i prescriptions is unknown.

METHODS

This was a pragmatic, randomized clinical trial that compared an EHR alert and usual care among patients with T2DM and no history of HF or SGLT2i use at a single center. The EHR alert notified providers of their patient's HF risk and recommended HF prevention strategies. Randomization was performed at the provider level across general and subspecialty internal medicine as well as family medicine outpatient clinics. The primary outcome was proportion of SGLT2i prescriptions within 30 days. Proportion of natriuretic peptide (NP) tests within 90 days was also assessed.

RESULTS

A total of 1524 patients (median age 75 years, 45% women, 23% Black) were enrolled between September 28, 2021, and April 29, 2022 from 189 outpatient clinics. SGLT2i were prescribed to 1.2% (9/780) of patients in the EHR alert group and 0% (0/744) of those in the usual care group (P value = 0.009). Natriuretic peptide testing was performed within 90 days among 10.8% (84/780) of patients in the EHR alert group and 7.3% (54/744) of patients in the usual care group (P value = 0.02).

CONCLUSIONS

In a single-center trial with low overall SGLT2i use, an EHR alert incorporating HF risk information significantly increased SGLT2i prescriptions and NP testing although the absolute rates were low.

Cardiology patients are unaware of the benefits of seasonal influenza immunization

Seasonal influenza immunization reduces the risk of cardiovascular events. Patients with established cardiovascular disease (CVD) derive a greater benefit than those without, yet up to 50 % do not take up the immunization. Patient perceptions and beliefs are known to inform immunization behaviors, yet the immunization related beliefs of patients with CVD have not been described.

Objective

To describe beliefs, perceptions and behaviors regarding influenza immunization in patients with CVD.

Methods

We undertook a cross-sectional, voluntary and anonymous survey of 181 cardiology inpatients and outpatients attending three large hospitals in Victoria.

Results

Median age was 64, 35.0 % were female and 24.2 % spoke a language other than English at home. Over one-third-(34.5 %) of respondents did not receive the seasonal influenza immunization in the prior year. Only half (54.2 %) of patients agreed that their heart condition placed them at higher risk of complications and serious illness if they contracted influenza. Nearly a quarter of patients (24.0 %) were concerned about side effects while 1 in 10 patients raised cost as a barrier despite being free-of-charge in Australia. If asked to receive the seasonal influenza immunization, 86 % patients would agree if their cardiologist recommended it.

Conclusion

Despite guideline recommendations, most cardiology patients are uninformed of the cardiovascular benefits of seasonal influenza immunization with many unaware they are at higher risk of influenza-related illness. The vast majority of patients would accept the immunization if recommended by their cardiologist highlighting their important role in improving uptake.

Electronic nudges for sustained influenza vaccination uptake in older adults: the nationwide randomized NUDGE-FLU-2 trial

Digital letter interventions have proven effective in increasing influenza vaccination rates. In this trial, we sought to further refine these strategies and investigated whether the effectiveness of the strategies could be sustained across consecutive influenza seasons. We enrolled all eligible Danish citizens 65 years of age or older in a nationwide registry-based randomized implementation trial during the 2023-2024 influenza season. Households of participants were randomly assigned in a 2.45:1:1:1:1:1:1 ratio to usual care or six different behaviorally informed electronic letter-based nudges delivered before the influenza vaccination period. The primary endpoint was receipt of influenza vaccination. Statistical analyses accounted for household-level clustering. A total of 881,373 participants (mean age 74.1 ± 6.5 years, 52.1% female) were randomized across 649,487 households. The primary endpoint was met; influenza vaccination rates were higher in the pooled intervention letter group compared to usual care (76.32% versus 76.02%; difference, 0.31 percentage points; 99.29% confidence interval, 0.00-0.61; P = 0.007). Although no individual letter significantly increased influenza vaccination rates, the directionality of effect was consistent across all letters. Effectiveness was particularly pronounced in participants who had not received influenza vaccination during the preceding season (Pinteraction = 0.010). Effectiveness was consistent regardless of whether participants had received a similar electronic letter-based nudge in the preceding season (Pinteraction = 0.26). In summary, electronic letter-based nudges successfully increased influenza vaccination among older adults, and our results suggest that these highly scalable strategies can be implemented effectively and safely across consecutive vaccination seasons.ClinicalTrials.gov registration: NCT06030726 .

A quick access to information on influenza burden and prevention in Lyon university hospital: A prospective QR code-based information campaign in 2022-2023

BACKGROUND

Influenza vaccines are effective in decreasing hospitalizations and mortality related to influenza and its complications. However, the Vaccine Coverage Rate of influenza remains low and multifaceted efforts are required to improve it. The aim of this study was to assess the impact on influenza vaccine perception using a digital tool among outpatients and health care workers (HCWs).

METHODS

A study was performed among outpatients and the HCWs of 23 hospital departments from 4 hospitals affiliated to Lyon university Hospitals (France), between October 2022 and February 2023. By scanning QR (Quick Response) codes, displayed on posters for patients, their companions, as well as in the letters sent to HCWs, users accessed anonymously to a web-application (ELEFIGHT®), which provided information on influenza and invited them to initiate a discussion on influenza prevention with their physicians during the consultation. Patients were also invited to complete a questionnaire regarding their perception of influenza vaccination before and after reading the information on ELEFIGHT®. The retention rate (RR = proportion of people who remain on the page for >2 s), the conversion rate (CR = proportion of people who click on the "Call-To-Action" button) and the absolute variation (difference in the perception before/after) and relative variation (absolute change as a percentage of the initial perception) in perception regarding influenza vaccination before and after consulting the application were calculated.

RESULTS

3791 scans were performed by 3298 patients and/or their companions with a RR of 52% and a CR of 55.1% and 253 scans by 221 HCWs with a RR of 71.2% and a CR of 115.3%. Participants spent an average of 47 s on the application. The questionnaire on influenza vaccination perception was completed by 1533 participants (46.5%); 1390 (90.7%) maintained the same position (neutral, favorable or unfavorable) on this vaccination before and after consulting the application. The relative variations in favor of vaccination were + 7.2% (unfavorable then favorable) and + 19.8% (neutral then favorable).

CONCLUSION

This study suggests that a facilitated direct access to medical information through QR codes disseminated in health settings can help nudge people to foster their awareness of influenza and its prevention. Future deployments in a similar context or to other populations could be envisaged. Other vaccine-preventable and/or chronic diseases could also be the target of similar projects as part of public health programs.

Mortality risk information and health-seeking behavior during an epidemic

In a context where pessimistic survival perceptions have been widespread as a result of the HIV/AIDS epidemic (Fig. 1 A), we study vaccine uptake and other health behaviors during the recent COVID-19 pandemic. Leveraging a longitudinal cohort study in rural Malawi that has been followed for up to 25 y, we document that a 2017 mortality risk information intervention designed to reduce pessimistic mortality perceptions (Fig. 1 B) resulted in improved health behavior, including COVID-19 vaccine uptake (Fig. 1 C). We also report indirect effects for siblings and household members. This was likely the result of a reinforcing process where the intervention triggered engagement with the healthcare system and stronger beliefs in the efficacy of modern biomedical treatments, which led to the adoption of health risk reduction behavior, including vaccine uptake. Our findings suggest that health information interventions focused on survival perceptions can be useful in promoting health behavior and participation in the formal healthcare system, even during health crises-such as the COVID-19 pandemic-that are unanticipated at the time of the intervention. We also note the importance of the intervention design, where establishing rapport, tailoring the content to the local context, and spending time with respondents to convey the information contributed to the salience of the message.

A Prediction Model for Identifying Seasonal Influenza Vaccination Uptake Among Children in Wuxi, China: Prospective Observational Study

BACKGROUND

Predicting vaccination behaviors accurately could provide insights for health care professionals to develop targeted interventions.

OBJECTIVE

The aim of this study was to develop predictive models for influenza vaccination behavior among children in China.

METHODS

We obtained data from a prospective observational study in Wuxi, eastern China. The predicted outcome was individual-level vaccine uptake and covariates included sociodemographics of the child and parent, parental vaccine hesitancy, perceptions of convenience to the clinic, satisfaction with clinic services, and willingness to vaccinate. Bayesian networks, logistic regression, least absolute shrinkage and selection operator (LASSO) regression, support vector machine (SVM), naive Bayes (NB), random forest (RF), and decision tree classifiers were used to construct prediction models. Various performance metrics, including area under the receiver operating characteristic curve (AUC), were used to evaluate the predictive performance of the different models. Receiver operating characteristic curves and calibration plots were used to assess model performance.

RESULTS

A total of 2383 participants were included in the study; 83.2% of these children (n=1982) were <5 years old and 6.6% (n=158) had previously received an influenza vaccine. More than half (1356/2383, 56.9%) the parents indicated a willingness to vaccinate their child against influenza. Among the 2383 children, 26.3% (n=627) received influenza vaccination during the 2020-2021 season. Within the training set, the RF model showed the best performance across all metrics. In the validation set, the logistic regression model and NB model had the highest AUC values; the SVM model had the highest precision; the NB model had the highest recall; and the logistic regression model had the highest accuracy, F1 score, and Cohen κ value. The LASSO and logistic regression models were well-calibrated.

CONCLUSIONS

The developed prediction model can be used to quantify the uptake of seasonal influenza vaccination for children in China. The stepwise logistic regression model may be better suited for prediction purposes.

Rationale and design of NUDGE-FLU-CHRONIC and NUDGE-FLU-2: Two nationwide randomized trials of electronic nudges to increase influenza vaccination among patients with chronic diseases and older adults during the 2023/2024 influenza season

BACKGROUND

Yearly influenza vaccination is strongly recommended for older adults and patients with chronic diseases including cardiovascular disease (CVD); however, vaccination rates remain suboptimal, particularly among younger patients. Electronic letters incorporating behavioral nudges are highly scalable public health interventions which can potentially increase vaccination, but further research is needed to determine the most effective strategies and to assess effectiveness across different populations. The purpose of NUDGE-FLU-CHRONIC and NUDGE-FLU-2 are to evaluate the effectiveness of electronic nudges delivered via the Danish governmental electronic letter system in increasing influenza vaccination among patients with chronic diseases and older adults, respectively.

METHODS

Both trials are designed as pragmatic randomized implementation trials enrolling all Danish citizens in their respective target groups and conducted during the 2023/2024 influenza season. NUDGE-FLU-CHRONIC enrolls patients aged 18-64 years with chronic diseases. NUDGE-FLU-2 builds upon the NUDGE-FLU trial conducted in 2022/2023 and aims to expand the evidence by testing both previously successful and new nudges among adults ≥65 years during a subsequent influenza season. Persons with exemptions from the electronic letter system are excluded from both trials. In both trials, participants are randomized in a 2.45:1:1:1:1:1:1 ratio to either receive no electronic letter (usual care) or to receive one of 6 different behaviorally informed electronic letters. NUDGE-FLU-CHRONIC has randomized 299,881 participants with intervention letters delivered on September 24, 2023, while NUDGE-FLU-2 has randomized 881,373 participants and delivered intervention letters on September 13, 2023. Follow-up is currently ongoing. In both trials, the primary endpoint is receipt of influenza vaccination on or before January 1, 2024, and the secondary endpoint is time to vaccination. Clinical outcomes including respiratory and cardiovascular hospitalizations, all-cause hospitalization, and mortality are included as prespecified exploratory endpoints. Prespecified individual-level pooled analyses will be conducted across NUDGE-FLU, NUDGE-FLU-CHRONIC, and NUDGE-FLU-2.

DISCUSSION

NUDGE-FLU-CHRONIC is the first nationwide randomized trial of electronic nudges to increase influenza vaccination conducted among 18-64-year-old high-risk patients with chronic diseases. NUDGE-FLU-2 will provide further evidence on the effectiveness of electronic nudges among older adults ≥65 years. Collectively, the NUDGE-FLU trials will provide an extensive evidence base for future public health communications.

TRIAL REGISTRATION

NUDGE-FLU-CHRONIC: Clinicaltrials.gov: NCT06030739, registered September 11, 2023, https://clinicaltrials.gov/study/NCT06030739. NUDGE-FLU-2: Clinicaltrials.gov: NCT06030726, registered September 11, 2023, https://clinicaltrials.gov/study/NCT06030726.

Clinical Outcomes With Electronic Nudges to Increase Influenza Vaccination : A Prespecified Analysis of a Nationwide, Pragmatic, Registry-Based, Randomized Implementation Trial

BACKGROUND

In the NUDGE-FLU (Nationwide Utilization of Danish Government Electronic letter system for increasing inFLUenza vaccine uptake) trial, electronic letters incorporating cardiovascular (CV) gain-framing and repeated messaging increased influenza vaccination by approximately 1 percentage point.

OBJECTIVE

To evaluate the effects of the successful nudging interventions on downstream clinical outcomes.

DESIGN

Prespecified exploratory analysis of a nationwide randomized implementation trial. (ClinicalTrials.gov: NCT05542004).

SETTING

The 2022 to 2023 influenza season.

PARTICIPANTS

964 870 Danish citizens aged 65 years or older.

INTERVENTION

Usual care or 9 different electronically delivered behavioral nudging letters.

MEASUREMENTS

Cardiovascular, respiratory, and other clinical end points during follow-up from intervention delivery (16 September 2022) through 31 May 2023.

RESULTS

The analysis set included 691 820 participants. Hospitalization for pneumonia or influenza occurred in 3354 of 346 327 (1.0%) participants in the usual care group, 396 of 38 586 (1.0%) in the CV gain-framing group (hazard ratio [HR], 1.06 [95% CI, 0.95 to 1.18]; versus usual care), and 403 of 38 231 (1.1%) in the repeated letter group (HR, 1.09 [CI, 0.98 to 1.21]; versus usual care). In the usual care group, 44 682 (12.9%) participants were hospitalized for any cause, compared with 5002 (13.0%) in the CV gain-framing group (HR, 1.00 [CI, 0.97 to 1.03]; versus usual care) and 4965 (13.0%) in the repeated letter group (HR, 1.01 [CI, 0.98 to 1.04]; versus usual care). A total of 6341 (1.8%) participants died in the usual care group, compared with 721 (1.9%) in the CV gain-framing group (HR, 1.02 [CI, 0.94 to 1.10]; versus usual care) and 646 (1.7%) in the repeated letter group (HR, 0.92 [CI, 0.85 to 1.00]; versus usual care).

LIMITATION

Prespecified but exploratory analysis, potential misclassification of events in routinely collected registry data, and results may not be generalizable to other health systems or countries with other racial compositions and/or cultural or societal norms.

CONCLUSION

In a prespecified exploratory analysis, modest increases in influenza vaccination rates seen with electronic nudges did not translate into observable improvements in clinical outcomes. Seasonal influenza vaccination should remain strongly recommended.

PRIMARY FUNDING SOURCE

Sanofi.

Distributive randomization: a pragmatic fractional factorial design to screen or evaluate multiple simultaneous interventions in a clinical trial

BACKGROUND

In some medical indications, numerous interventions have a weak presumption of efficacy, but a good track record or presumption of safety. This makes it feasible to evaluate them simultaneously. This study evaluates a pragmatic fractional factorial trial design that randomly allocates a pre-specified number of interventions to each participant, and statistically tests main intervention effects. We compare it to factorial trials, parallel-arm trials and multiple head-to-head trials, and derive some good practices for its design and analysis.

METHODS

We simulated various scenarios involving 4 to 20 candidate interventions among which 2 to 8 could be simultaneously allocated. A binary outcome was assumed. One or two interventions were assumed effective, with various interactions (positive, negative, none). Efficient combinatorics algorithms were created. Sample sizes and power were obtained by simulations in which the statistical test was either difference of proportions or multivariate logistic regression Wald test with or without interaction terms for adjustment, with Bonferroni multiplicity-adjusted alpha risk for both. Native R code is provided without need for compiling or packages.

RESULTS

Distributive trials reduce sample sizes 2- to sevenfold compared to parallel arm trials, and increase them 1- to twofold compared to factorial trials, mostly when fewer allocations than for the factorial design are possible. An unexpectedly effective intervention causes small decreases in power (< 10%) if its effect is additive, but large decreases (possibly down to 0) if not, as for factorial designs. These large decreases are prevented by using interaction terms to adjust the analysis, but these additional estimands have a sample size cost and are better pre-specified. The issue can also be managed by adding a true control arm without any intervention.

CONCLUSION

Distributive randomization is a viable design for mass parallel evaluation of interventions in constrained trial populations. It should be introduced first in clinical settings where many undercharacterized interventions are potentially available, such as disease prevention strategies, digital behavioral interventions, dietary supplements for chronic conditions, or emerging diseases. Pre-trial simulations are recommended, for which tools are provided.

Nudging towards COVID-19 and influenza vaccination uptake in medically at-risk children: EPIC study protocol of randomised controlled trials in Australian paediatric outpatient clinics

INTRODUCTION

Children with chronic medical diseases are at an unacceptable risk of hospitalisation and death from influenza and SARS-CoV-2 infections. Over the past two decades, behavioural scientists have learnt how to design non-coercive 'nudge' interventions to encourage positive health behaviours. Our study aims to evaluate the impact of multicomponent nudge interventions on the uptake of COVID-19 and influenza vaccines in medically at-risk children.

METHODS AND ANALYSES

Two separate randomised controlled trials (RCTs), each with 1038 children, will enrol a total of approximately 2076 children with chronic medical conditions who are attending tertiary hospitals in South Australia, Western Australia and Victoria. Participants will be randomly assigned (1:1) to the standard care or intervention group. The nudge intervention in each RCT will consist of three text message reminders with four behavioural nudges including (1) social norm messages, (2) different messengers through links to short educational videos from a paediatrician, medically at-risk child and parent and nurse, (3) a pledge to have their child or themselves vaccinated and (4) information salience through links to the current guidelines and vaccine safety information. The primary outcome is the proportion of medically at-risk children who receive at least one dose of vaccine within 3 months of randomisation. Logistic regression analysis will be performed to determine the effect of the intervention on the probability of vaccination uptake.

ETHICS AND DISSEMINATION

The protocol and study documents have been reviewed and approved by the Women's and Children's Health Network Human Research Ethics Committee (HREC/22/WCHN/2022/00082). The results will be published via peer-reviewed journals and presented at scientific meetings and public forums.

TRIAL REGISTRATION NUMBER

NCT05613751.

Influenza vaccination and use of lipid lowering therapies in adults with atherosclerotic cardiovascular disease: An analysis of the Behavioral Risk Factor Surveillance System (BRFSS)

BACKGROUND

Influenza vaccination and lipid lowering therapy (LLT) are evidence-based interventions with substantial benefit for individuals with established atherosclerotic cardiovascular disease (ASCVD). However, levels of influenza immunization and LLT use are low, possibly due to pervasive fear-based misinformation uniquely targeting vaccines and LLT. Whether being unvaccinated for influenza predicts lower utilization of LLT is unknown.

OBJECTIVES

We tested the hypothesis that American adults with ASCVD who are unvaccinated for influenza have lower use of LLT even after accounting for traditional factors associated with underuse of preventive therapies.

METHODS

We pooled 2017, 2019, and 2021 survey data from the Behavioral Risk Factor Surveillance System (BRFSS), and selected respondents aged 40 to 75 years with self-reported ASCVD. We used logistic regression models adjusted for potential confounders to examine the association between influenza vaccination and self-reported LLT use. We performed a sensitivity analysis with multiple imputation to account for missing data. All analyses accounted for complex survey weighting.

RESULTS

Of 66,923 participants with ASCVD, 55% reported influenza vaccination in the last year and 76% reported using LLT. Being unvaccinated for influenza was associated with lower odds of LLT use (OR 0.54; 95% CI 0.50, 0.58; P< .001). In a multivariable regression model adjusting for demographics and comorbidities, this association remained statistically significant (aOR 0.58, 95% CI 0.52, 0.64, P < .001). After additional adjustment for preventive care engagement, health care access, and use patterns of other cardiovascular medications this association persisted (aOR 0.66; 95% CI 0.60, 0.74; P < .001). There were no significant differences across subgroups, including those with and without hyperlipidemia.

CONCLUSIONS

Unvaccinated status for influenza was independently associated with 34% lower odds of LLT use among American adults with ASCVD after adjustment for traditional factors linked to underuse of preventive therapies. This finding identifies a population with excess modifiable ASCVD risk, and supports investigation into nontraditional mechanisms driving underuse of preventive therapies, including fear-based misinformation.

Nudging a Nation - The Danish NUDGE Trial Concept

Danish NUDGE Trial ConceptRandomized encouragement trials randomize to an opportunity to receive treatment instead of to the treatment. Here, Johansen and colleagues combine randomized encouragement trials with several advantages inherent in the Danish health system.

Reminder design and childhood vaccination coverage

A major policy concern across public vaccination programs is non-compliance. Exploiting Danish population data and three national reforms in regression discontinuity designs, we document the effects of reminders for childhood vaccination coverage. Retrospective reminders are primarily effective for families with small children and when sent out close to the recommended vaccination age. Digital and postal reminders are equally effective. Prospective reminders increase timely vaccinations in later childhood and help reaching high coverage for new vaccines in increasingly complex vaccination programs. While reminders prompt additional preventive care for focal children, we find no spillovers to other health behaviors or relatives.

Disparities with influenza vaccine use in long-term survivors of metastatic breast cancer

PURPOSE

Elderly women diagnosed with metastatic breast cancer (MBC) are living longer, however their primary care management may be sub-optimal. Influenza results in preventable hospitalizations and deaths. Guidelines recommend the influenza vaccine for those > 65 years and those with cancer but use is unknown.

METHODS

A retrospective analysis was conducted using the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked data. Patients were included if they were diagnosed with MBC from 1/1/2008-12/31/2017 and were ≥ 65 years of age. The primary outcome was influenza vaccine use among patients surviving ≥ 3-years. We conducted multivariable analyses using demographic and clinical factors to identify associations with vaccine use. We compared utilization to cancer-free controls.

RESULTS

We identified 1,970 patients with MBC that survived for ≥ 3 years. The median age at diagnosis was 73 years. Furthermore, 1,742 (88%) patients were White, and 153 (8%) patients were Black. Only 1,264 (64%) received an influenza vaccine at least one time and 51% received the vaccine at least two times. A multivariable model found lower odds of vaccine receipt for Black patients (OR = 0.48; 95% CI 0.34-0.68, p < 0.001) and higher odds for patients that saw primary care in the year prior to diagnosis (OR = 1.91, 95% CI 1.57-2.33, p < 0.001). Patients with MBC had lower odds of vaccine use compared to cancer free controls (OR = 0.85, 95% CI 0.74-0.97, p < 0.001).

CONCLUSION

Over 1/3 of long-term MBC survivors in our cohort did not receive the influenza vaccine. Black patients are about half as likely to be vaccinated. Given the known benefit of the vaccine, improving uptake could be an important strategy to improve outcomes.

Effect of chair placement on physicians' behavior and patients' satisfaction: randomized deception trial

OBJECTIVE

To evaluate the effect of chair placement on length of time physicians sit during a bedside consultation and patients' satisfaction.

DESIGN

Single center, double blind, randomized controlled deception trial.

SETTING

County hospital in Texas, USA.

PARTICIPANTS

51 hospitalist physicians providing direct care services, and 125 observed encounters of patients who could answer four orientation questions correctly before study entry, April 2022 to February 2023.

INTERVENTION

Each patient encounter was randomized to either chair placement (≤3 feet (0.9 m) of patient's bedside and facing the bed) or usual chair location (control).

MAIN OUTCOME MEASURES

The primary outcome was the binary decision of the physician to sit or not sit at any point during a patient encounter. Secondary outcomes included patient satisfaction, as assessed with the Tool to Assess Inpatient Satisfaction with Care from Hospitalists (TAISCH) and the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) surveys, time in the room, and both physicians' and patients' perception of time in the room.

RESULTS

125 patient encounters were randomized (60 to chair placement and 65 to control). 38 of the 60 physicians in the chair placement group sat during the patient encounter compared with five of the 65 physicians in the control group (odds ratio 20.7, 95% confidence interval 7.2 to 59.4; P<0.001). The absolute risk difference between the intervention and control groups was 0.55 (95% confidence interval 0.42 to 0.69). Overall, 1.8 chairs needed to be placed for a physician to sit. Intervention was associated with 3.9% greater TAISCH scores (effect estimate 3.9, 95% confidence interval 0.9 to 7.0; P=0.01) and 5.1 greater odds of complete scores on HCAHPS (95% confidence interval 1.06 to 24.9, P=0.04). Chair placement was not associated with time spent in the room (10.6 minutes v control 10.6 minutes) nor perception of time in the room for physicians (9.4 minutes v 9.8 minutes) or patients (13.1 minutes v 13.5 minutes).

CONCLUSION

Chair placement is a simple, no cost, low tech intervention that increases a physician's likelihood of sitting during a bedside consultation and resulted in higher patients' scores for both satisfaction and communication.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05250778.

Electronically Delivered Nudges to Increase Influenza Vaccination Uptake in Older Adults With Diabetes: A Secondary Analysis of the NUDGE-FLU Trial

Importance

Influenza vaccination is associated with a reduced risk of mortality in patients with diabetes, but vaccination rates remain suboptimal.

Objective

To assess the effect of electronic nudges on influenza vaccination uptake according to diabetes status.

Design, Setting, and Participants

The NUDGE-FLU (Nationwide Utilization of Danish Government Electronic Letter System for Increasing Influenza Vaccine Uptake) trial was a nationwide clinical trial of Danish citizens 65 years or older that randomized participants at the household level to usual care or 9 different electronic nudge letters during the 2022 to 2023 influenza season. End of follow-up was January 1, 2023. This secondary analysis of the NUDGE-FLU trial was performed from May to July 2023.

Intervention

Nine different electronic nudge letters designed to boost influenza vaccination were sent in September to October 2022. Effect modification by diabetes status was assessed in a pooled analysis of all intervention arms vs usual care and for individual letters.

Main Outcomes and Measures

The primary end point was receipt of a seasonal influenza vaccine.

Results

The trial included 964 870 participants (51.5% female; mean [SD] age, 73.8 [6.3] years); 123 974 had diabetes. During follow-up, 83.5% with diabetes vs 80.2% without diabetes received a vaccine (P < .001). In the pooled analysis, nudges improved vaccination uptake in participants without diabetes (80.4% vs 80.0%; difference, 0.37 percentage points; 99.55% CI, 0.08 to 0.66), whereas there was no evidence of effect in those with diabetes (83.4% vs 83.6%; difference, -0.19 percentage points; 99.55% CI, -0.89 to 0.51) (P = .02 for interaction). In the main results of NUDGE-FLU, 2 of the 9 behaviorally designed letters (cardiovascular benefits letter and a repeated letter) significantly increased uptake of influenza vaccination vs usual care; these benefits similarly appeared attenuated in participants with diabetes (cardiovascular gain letter: 83.7% vs 83.6%; difference, 0.04 percentage points; 99.55% CI, -1.52 to 1.60; repeated letter: 83.5% vs 83.6%; difference, -0.15 percentage points; 99.55% CI, -1.71 to 1.41) vs those without diabetes (cardiovascular gain letter: 81.1% vs 80.0%; difference, 1.06 percentage points; 99.55% CI, 0.42 to 1.70; repeated letter: 80.9% vs 80.0%; difference, 0.87 percentage points; 99.55% CI, 0.22 to 1.52) (P = .07 for interaction).

Conclusions and Relevance

In this exploratory subgroup analysis, electronic nudges improved influenza vaccination uptake in persons without diabetes, whereas there was no evidence of an effect in persons with diabetes. Trials are needed to investigate the effect of digital nudges specifically tailored to individuals with diabetes.

Trial Registration

ClinicalTrials.gov Identifier: NCT05542004.

Effect of digital messages from health professionals on COVID-19-related outcomes: A systematic review of randomized controlled trials

Effectiveness of health professionals' messages via digital tools on COVID-19-related outcomes remains unknown. In this systematic review, we examined this issue by searching randomized controlled trials in six databases until August, 2022 (PROSPERO, CRD 42022350788). Risk of bias was assessed using revised Cochrane risk-of-bias tool. Primary outcomes were COVID-19 infections, preventive behaviors, and factors that support behavioral change. Seven trials with 16 reports (some reported two or more outcomes) were included. One trial showed that physician videos distributed by Facebook ads significantly reduced COVID-19 infections. Five of 6 reports showed that interventions can promote non-pharmaceutical preventive behaviors, vaccination, or information-seeking behaviors and half of the results were significant. Interventions improved the factors that support behavioral change. 14 reports had some concerns of bias risk and 2 had high risk of bias. Our findings suggest that digital messages by health professionals may help reduce COVID-19 infections through promoting behavioral change.

[Respiratory viral infections : Under special consideration of severe acute respiratory syndrome coronavirus 2 and influenza viruses]

Respiratory viruses cause the highest number of morbidities and deaths annually among all infectious pathogens. This article discusses the current epidemiology, pathogenesis, risk factors, and drug treatment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza viruses, respiratory syncytial virus (RSV), and other respiratory viruses. The SARS-CoV‑2 and influenza are preventable with vaccines and a first vaccine against RSV is available since 08/2023. For infections with SARS-CoV‑2 and influenza, a stage-specific (antiviral) drug treatment is also recommended. Due to the high and commonly underestimated disease burden caused by RSV, it must be hoped that antiviral substances will be found in the future. In patients at risk, particular attention should be paid to an adequate vaccination status against respiratory pathogens and if there is clinical suspicion of a viral airway infection, the pathogen should be promptly identified and, if necessary, specific treatment should be carried out. Now that effective vaccinations and antiviral drugs are available, the challenge is to use them for all patients at risk and thus really prevent avoidable infections, severe courses and long-term sequelae.