Scoping Review of Screening and Assessment Tools for Social Determinants of Health in the Field of Cardiovascular Disease.

BACKGROUND: Despite the importance of implementing the concept of social determinants of health (SDOH) in the clinical practice of cardiovascular disease (CVD), the tools available to assess SDOH have not been systematically investigated. We conducted a scoping review for tools to assess SDOH and comprehensively evaluated how these tools could be applied in the field of CVD.Methods and Results: We conducted a systematic literature search of PubMed and Embase databases on July 25, 2023. Studies that evaluated an SDOH screening tool with CVD as an outcome or those that explicitly sampled or included participants based on their having CVD were eligible for inclusion. In addition, studies had to have focused on at least one SDOH domain defined by Healthy People 2030. After screening 1984 articles, 58 articles that evaluated 41 distinct screening tools were selected. Of the 58 articles, 39 (67.2%) targeted populations with CVD, whereas 16 (27.6%) evaluated CVD outcome in non-CVD populations. Three (5.2%) compared SDOH differences between CVD and non-CVD populations. Of 41 screening tools, 24 evaluated multiple SDOH domains and 17 evaluated only 1 domain. CONCLUSIONS: Our review revealed recent interest in SDOH in the field of CVD, with many useful screening tools that can evaluate SDOH. Future studies are needed to clarify the importance of the intervention in SDOH regarding CVD.

Impact of Tweet Content on the Number of Retweets　- "Tweet the Meeting 2022".

Background: Previous research has investigated the effectiveness of the "Tweet the Meeting" campaign, but the relationship between tweet content and the number of retweets has not been fully evaluated. Methods and Results: We analyzed the number of tweets and retweets during the Japanese Circulation Society's 2022 annual meeting. The ambassador group had significantly more session- and symposium-related tweets than the non-ambassador group (P<0.001), associated with the nubmer of retweets. Symposium-related tweets with figures generated more retweets than those without figures (mean [±SD] 3.47±3.31 vs. 2.48±1.94 retweets per tweet, respectively; P=0.001). Conclusions: The study revealed that official meeting-designated Twitter ambassadors disseminate more educational content than non-ambassadors, and generated more retweets.

The time trend of information seeking behavior about salt reduction using Google Trends: infodemiological study in Japan.

Numerous initiatives have been implemented to reduce salt intake to prevent hypertension and cardiovascular disease. However, salt consumption remains high. No study worldwide has evaluated the public's awareness of salt reduction by analyzing Internet research activity. This research aims to assess trends in the public's attention to salt reduction using Google Trends. We evaluated the relative search volume (RSV) of "salt reduction" in Google Trends from January 1, 2004, to December 31, 2021. Regression coefficients indicated that RSVs increased 0.0091 (95% CI, 0.0085-0.0097, p < 0.001) per year for salt reduction. Among related search terms, search for "salt component," "soy sauce," and "pickled plum" contributed to 9.9 ± 3.2%, 5.8 ± 2.0%, and 3.9 ± 5.5% of total RSVs for salt reduction. Google Trends revealed that the Japanese public's awareness of salt reduction has increased. Related searches might provide insights when people search for salt reduction, which could be helpful for future effective interventions for understanding salt reduction. The trends of Relative search volumes (RSVs) for "salt reduction" and "salt reduction filtered" have significantly increased RSV in 2021 compared to 2004. Google Trends is an effective tool for salt reduction awareness research that provides large amounts of real-time search data.

Impact of Tweeting Summaries by the Japanese Circulation Society Official Account on Article Viewership　- Pilot Trial.

BACKGROUND: The impact of promotional tweets from the official journal account (forCirculation JournalandCirculation Reports) on article viewership has not been thoroughly evaluated.Methods and Results:We retrospectively collected journal viewership data forCirculation JournalandCirculation Reportsfrom March 2021 to August 2021. We compared viewership between articles with (n=15) and without (n=250) tweets. After 1 : 4 propensity score matching (15 tweeted articles and 60 non-tweeted matched controls), journal viewership metrics within 7 days of the tweeting date (and the hypothetical tweeting date), was larger in tweeted articles than non-tweeted articles (median [interquartile range] Abstract page views 89 [60-104] vs. 18 [8-41]). CONCLUSIONS: This pilot study suggests a positive relationship between journal-posted promotional tweets and article viewership.

Primary Care Patient Social Networks and Tobacco Use: An Observational Study.

IMPORTANCE: Tobacco use remains the leading cause of preventable deaths and is susceptible to social influence. Yet, we know little about the characteristics of primary care social networks and how they influence tobacco use. OBJECTIVE: To determine what primary care patient social network characteristics are associated with individual smoking behavior. DESIGN: Cross-sectional. SETTING: Two primary care practices in West Philadelphia, Pennsylvania (PA), USA. PARTICIPANTS: A random sample of 53 primary care patients and 155 of their nominated social ties. MAIN OUTCOME AND MEASURES: We examined the association between social network characteristics (degree, communicated weighted social ties, and presence of social reinforcement) and tobacco use history (never smoker, successful quitter, or current smoker). Other covariates included age, race/ethnicity, sex, education, income, and employment status, self-efficacy, depression status, provider-patient relationship. RESULTS: Of those enrolled in our study (n = 208), 101 identified as never smokers, 59 as successfully quitters, and 48 as current smokers. Social reinforcements from connected alter pairs that never-smoked (OR = 1.20, 95% CI: 1.08, 1.34) was significantly associated with a participant being a never smoker. Participants with stronger ties with successful quitters were significantly more likely to identify as successfully quitting (OR = 1.37, 95% CI: 1.11, 1.69) and conversely had a negative association with stronger ties to unsuccessful quitters (OR = 0.59, 95% CI: 0.44, 0.80) or current smokers who had not tried to quit in the last year (OR = 0.82, 95% CI: 0.68, 0.98). Social reinforcement from connected pairs of alters that were unsuccessful quitters was significantly associated with the participant being a current smoker (OR = 1.26, 95% CI: 1.10, 1.45). CONCLUSIONS: Our study suggests that smoking behaviors do not occur in isolation, nor because of 1 or 2 prominent social network members. Rather, our findings suggest that both strong ties and social reinforcement from clusters of similarly-behaving persons influence smoking behavior. Primary care practices have an opportunity to leverage these insights on patient networks to improve cancer prevention.

Interpersonal Correlates of Dementia Caregivers' Emotional Support Networks: Considering Family History.

Caregiving networks of individuals with Alzheimer's disease and related dementias (ADRD) are comprised of family and friends directly involved in caregiving activities and those supporting these activities. The purpose of this study was to investigate whether caregiving-related behaviors and interactions (i.e., uplift, malfeasance, and nonfeasance), kinship tie (i.e., friend, family), and family history of ADRD were associated with caregivers' emotional support networks. Seventy-one caregivers across 30 families provided information about 776 network members. Perceived emotional support and interactions representing uplift, malfeasance, and nonfeasance were assessed. Results indicated that uplift and friendship were associated with increased, whereas nonfeasance was associated with decreased, likelihood of perceived emotional support. Caregivers with a family history of ADRD were particularly more likely to report emotional support from friends and uplifting network members. Findings suggest the need for differential strategies based on families' prior caregiving experience to facilitate positive and minimize negative interactions within caregiving networks.

Loss Aversion Explains Physical Activity Changes in a Behavioral Gamification Trial.

Introduction: Loss aversion when using gamification is incompletely understood. The aim of this study was therefore to examine how participants alter their behavior vis-a-vis meeting a daily step goal based on the prospect of losing or gaining a gamification level. Methods: We enrolled 602 participants across four arms who were given pedometers. In the three experimental arms, participants began at the medium level and were allocated 70 points each week, losing 10 points each day they did not meet their step goal. Having at least 40 points at the end of the week resulted in a level increase, otherwise they lost a level. We fit a generalized estimating equation, clustered on participants, modeling step goal attainment on day 7. Our primary predictor was a categorical variable simultaneously indicating what level the participants began the week in and whether they had more than, less than, or exactly 40 points after 6 days. Results: Participants at risk of losing the highest level were 18.40% (confidence interval [95% CI]: 18.26-19.90) more likely to meet their step goal than those who had secured the highest level. Participants who could potentially move from the low to the medium level were 10.61% (95% CI: 9.98-11.24) more likely to meet their step goal than those in the Control group. Those in the Medium group were similarly more likely to achieve their step goal on day 7 (10.00%, 95% CI: 9.15-10.85) than those who had already secured an increase to the high level. Discussion: We find that participants in this trial generally exhibit loss aversion so long as the loss relates to something that was earned rather than endowed. This knowledge can be incorporated in future interventions using gamification by requiring participants to earn all levels as they progress. ClinicalTrials.gov identifier: NCT03311230.

Relationship Between Official Twitter Ambassadors and the Number of Retweets in the Annual Congress　- "Tweet the Meeting".

Background: The relationship between Twitter ambassadors and retweets has not been fully evaluated for "tweet the meeting" activity. Methods and Results: We collected data on the number of tweets and retweets during the Japanese Circulation Society's (JCS) annual meetings in 2019, 2020, and 2021. After adjustment, JCS Twitter Ambassadors, selected by the JCS to increase the meeting's visibility, increased the total number of retweets by 9%. Conclusions: This is the first report on the numerical relationship between JCS Twitter Ambassadors and the total number of retweets during an annual congress. Original tweets by JCS Twitter Ambassadors increased the number of retweets, but retweets by influencers were more effective at stimulating social media engagement.

Evaluating spillover of HIV knowledge from study participants to their network members in a stepped-wedge behavioural intervention in Tanzania.

OBJECTIVES: We aim to describe the social network members of participants of a behavioural intervention, and examine how the effects of the intervention may spillover among network members. DESIGN: Secondary analysis of a step-wedge randomised controlled trial. SETTING: Change agents (CAs) were recruited from waiting rooms of HIV treatment facilities in Dar es Salaam, Tanzania, and their network members (NMs) were recruited directly by CAs. PARTICIPANTS: We enrolled 662 CAs in an HIV behavioural intervention. They, along with 710 of their NMs, completed baseline and follow-up interviews from 2011 to 2013. PRIMARY AND SECONDARY OUTCOMES: The primary outcome of this study was change in NMs' HIV knowledge, and the secondary outcome was whether the NM was lost to follow-up. RESULTS: At baseline, many characteristics were different between NMs and CAs. We found a number of NM characteristics significantly associated with follow-up of NMs, particularly female gender (OR=1.64, 95% CI: 1.02 to 2.63) and HIV knowledge (OR=20.0, 95% CI: 3.70 to 125); only one CA variable was significantly associated with NM follow-up: having a private source of water (OR=2.17, 95% CI: 1.33 to 3.57). The 14.2% increase in NMs' HIV knowledge was largely due to CAs feeling empowered to pass on prior knowledge, rather than transmitting new knowledge to their NMs. CONCLUSIONS: Characteristics of social network members of persons living with HIV persons living with HIV may play a role in study retention. Additionally, the HIV knowledge of these NMs increased largely as a function of CA participation in the intervention, suggesting that intervening among highly-connected individuals may maximise benefits to the potential population for whom spillover can occur. TRIAL REGISTRATION NUMBER: Clinical Trial: NCT01693458; Post-results.

Specimen Pooling to Conserve Additional Testing Resources When Persons' Infection Status Is Correlated: A Simulation Study.

In the early stages of a novel pandemic, testing is simultaneously in high demand and low supply, making efficient use of tests of paramount importance. One approach to improve the efficiency of tests is to mix samples from multiple individuals, only testing individuals when the pooled sample returns a positive. To reflect potential clusters of cases that might queue at a testing site and that might increase the efficiency of batch testing, I simulate 10,000 persons being tested in sequence. I use a prevalence ranging from 1% to 45% and batch sizes ranging from 3 to 25 and assume the increased probability of consecutive infections ranges from 0% to 45%. I find that as the likelihood of clustered infections increases, the efficiency of specimen pooling increases. This analysis suggests that when clusters of infected persons exist at testing sites, specimen pooling can remain efficient even as prevalence increases. See video abstract: http://links.lww.com/EDE/B729.

Phenotyping physician practice patterns and associations with response to a nudge in the electronic health record for influenza vaccination: A quasi-experimental study.

BACKGROUND: Health systems routinely implement changes to the design of electronic health records (EHRs). Physician behavior may vary in response and methods to identify this variation could help to inform future interventions. The objective of this study was to phenotype primary care physician practice patterns and evaluate associations with response to an EHR nudge for influenza vaccination. METHODS AND FINDINGS: During the 2016-2017 influenza season, 3 primary care practices at Penn Medicine implemented an active choice intervention in the EHR that prompted medical assistants to template influenza vaccination orders for physicians to review during the visit. We used latent class analysis to identify physician phenotypes based on 9 demographic, training, and practice pattern variables, which were obtained from the EHR and publicly available sources. A quasi-experimental approach was used to evaluate response to the intervention relative to control practices over time in each of the physician phenotype groups. For each physician latent class, a generalized linear model with logit link was fit to the binary outcome of influenza vaccination at the patient visit level. The sample comprised 45,410 patients with a mean (SD) age of 58.7 (16.3) years, 67.1% were white, and 22.1% were black. The sample comprised 56 physicians with mean (SD) of 24.6 (10.2) years of experience and 53.6% were male. The model segmented physicians into groups that had higher (n = 41) and lower (n = 15) clinical workloads. Physicians in the higher clinical workload group had a mean (SD) of 818.8 (429.1) patient encounters, 11.6 (4.7) patient appointments per day, and 4.0 (1.1) days per week in clinic. Physicians in the lower clinical workload group had a mean (SD) of 343.7 (129.0) patient encounters, 8.0 (2.8) patient appointments per day, and 3.1 (1.2) days per week in clinic. Among the higher clinical workload group, the EHR nudge was associated with a significant increase in influenza vaccination (adjusted difference-in-difference in percentage points, 7.9; 95% CI, 0.4-9.0; P = .01). Among the lower clinical workload group, the EHR nudge was not associated with a significant difference in influenza vaccination rates (adjusted difference-in-difference in percentage points, -1.0; 95% CI, -5.3-5.8; P = .90). CONCLUSIONS: A model-based approach categorized physician practice patterns into higher and lower clinical workload groups. The higher clinical workload group was associated with a significant response to an EHR nudge for influenza vaccination.