Describing nurses' communication about evidence-based practice change: A social network analysis of hospital nurses.

BACKGROUND: Nurses play a critical role in providing evidence-based, high-quality care to optimize patient outcomes. Models from implementation science suggest social networks may influence the adoption of evidence-based practices (EBPs). However, few studies have examined this relationship among hospital nurses. Social network analysis (SNA) mathematically evaluates patterns of communication, a critical step in implementation. Exploring hospital nurses' communication networks may provide insight into influences on the adoption of EBPs. AIMS: This study aimed to describe complete communication networks of hospital nurses for practice changes on inpatient units, including upper level nursing administrators. METHODS: This descriptive, exploratory, cross-sectional study used SNA on two inpatient units from one hospital. A sociometric survey was completed by nurses (unit to executive level) regarding communication frequency about practice changes. Network-level density, diameter, average path length, centralization, and arc reciprocity were measured. Attribute data were used to explore subnetworks. RESULTS: Surveys from 148 nurses on two inpatient adult intensive care units (response rates 90% and 98%) revealed high communication frequency. Network measures were similar across the two units and among subnetworks. Analysis identified central (charge nurses and nurse leaders) and peripheral members of the network (new-to-practice nurses). Subnetworks aligned with the weekend and shift worked. LINKING EVIDENCE TO ACTION: Established communication channels, including subnetworks and opinion leaders, should be used to maximize and optimize implementation strategies and facilitate the uptake of EBPs. Future work should employ SNA to measure the impact of communication networks on promoting the uptake of EBP and to improve patient outcomes.

Reducing prescribing of antibiotics for acute respiratory infections using a frontline nurse-led EHR-Integrated clinical decision support tool: protocol for a stepped wedge randomized control trial.

BACKGROUND: Overprescribing of antibiotics for acute respiratory infections (ARIs) remains a major issue in outpatient settings. Use of clinical prediction rules (CPRs) can reduce inappropriate antibiotic prescribing but they remain underutilized by physicians and advanced practice providers. A registered nurse (RN)-led model of an electronic health record-integrated CPR (iCPR) for low-acuity ARIs may be an effective alternative to address the barriers to a physician-driven model. METHODS: Following qualitative usability testing, we will conduct a stepped-wedge practice-level cluster randomized controlled trial (RCT) examining the effect of iCPR-guided RN care for low acuity patients with ARI. The primary hypothesis to be tested is: Implementation of RN-led iCPR tools will reduce antibiotic prescribing across diverse primary care settings. Specifically, this study aims to: (1) determine the impact of iCPRs on rapid strep test and chest x-ray ordering and antibiotic prescribing rates when used by RNs; (2) examine resource use patterns and cost-effectiveness of RN visits across diverse clinical settings; (3) determine the impact of iCPR-guided care on patient satisfaction; and (4) ascertain the effect of the intervention on RN and physician burnout. DISCUSSION: This study represents an innovative approach to using an iCPR model led by RNs and specifically designed to address inappropriate antibiotic prescribing. This study has the potential to provide guidance on the effectiveness of delegating care of low-acuity patients with ARIs to RNs to increase use of iCPRs and reduce antibiotic overprescribing for ARIs in outpatient settings. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04255303, Registered February 5 2020, https://clinicaltrials.gov/ct2/show/NCT04255303 .

Opportunity loss: care team job satisfaction and urgent care, emergency department, and hospital costs for patients with cardiovascular disease.

OBJECTIVE: This study evaluates the association between primary care team job satisfaction and urgent care, emergency department, and hospital costs for their patients with cardiovascular disease (CVD). STUDY DESIGN: Electronic health record (EHR)-extracted observational study alongside a cross-sectional health care professional survey. METHODS: A total of 143 health professionals, including physicians and clinical staff, at 5 US primary care clinics participated in a cross-sectional survey about job satisfaction. Urgent care visits, emergency department visits, hospital visit days, and medical costs in the past 12 months for each care team's panel of patients were extracted from the EHR. Three-level hierarchical modelling evaluated the link between team job satisfaction, urgent care visits, emergency department visits, hospital visit days, and medical care costs in the past 12 months for the team's patients with diagnosed CVD. RESULTS: Teams with higher satisfaction with their freedom of work methods, work hours, and income were associated with fewer hospital days (odds ratio = 0.85, 0.72, and 0.81, respectively) and lower medical care costs -$474, -$650, and -$397 per patient, respectively) for their patients with CVD. Overall job satisfaction was not significantly associated with cost of care. CONCLUSIONS: Health care employee job satisfaction in primary care is an important factor to consider in efforts to lower medical costs for patients with CVD.

This article analysed the association between job satisfaction in primary care teams and urgent care, emergency department, and hospital costs for the team's patients with cardiovascular disease. Greater satisfaction with primary care team freedom of work methods, work hours, and income were associated with fewer hospital days and lower medical care costs for the team's patients with cardiovascular disease. Health care employee job satisfaction in primary care is an important factor to consider in efforts to lower medical costs for patients with cardiovascular disease.

Primary care nurses' perception of leadership and the influence of individual and work setting characteristics: A descriptive study.

AIMS: The aim of this study is to describe primary care nurses' perceptions of their formal leaders' leadership behaviours and outcomes and explore differences based upon nurses' individual and work setting characteristics. BACKGROUND: Formal nursing leadership is positively associated with patient, nurse workforce and organizational outcomes, yet no studies have examined primary care nurses' perception of formal leadership behaviours and outcomes in the United States. METHODS: Cross-sectional survey data from 335 primary care nurses were analysed to assess perceived leadership behaviours associated with transformational, transactional and passive-avoidant leadership styles, perceived leadership outcomes and individual and work setting characteristics. RESULTS: Positive leadership behaviours (transformational) were lower than those reported for other settings. There were significant differences in nurses' perceptions of their leaders' leadership behaviours and outcomes based upon individual and work setting characteristics. CONCLUSION: This study confirmed differences in perception of leadership and that individual and work setting characteristics influence nurses' perception of their leaders in primary care. IMPLICATIONS FOR NURSING MANAGEMENT: Leaders must be versatile and consider the unique needs of each staff member and the influence of clinic characteristics.

Cost-effectiveness of stop smoking incentives for medicaid-enrolled pregnant women.

Maternal smoking increases mortality and morbidity risks for both mother and infant. The First Breath Wisconsin study examined the cost-effectiveness of providing incentives to pregnant women who smoked to engage in stop smoking treatment. Participants (N = 1014) were Medicaid-enrolled pregnant women recruited from September 2012 to April 2015 through public health departments, private, and community health clinics in Wisconsin. The incentive group (n = 505) could receive $460 for completing pre-birth visits ($25 each), post-birth home visits ($40, $25, $25, $40 for 1-week, 2-month, 4-month and 6-month visits), monthly smoking cessation phone calls post-birth ($20 each), and biochemically-verified tobacco abstinence at 1-week ($40) and 6-months ($40) post-birth. The control group (n = 509) received up to $80 for 1-week ($40) and 6-month ($40) post-birth assessments. Intervention costs included incentive payments to participants, counselor and administrative staff time, and smoking cessation medications. Cost-effectiveness analysis calculated the incremental cost-effectiveness ratio (ICER) per one additional smoker who quit. The incentive group had higher 6-month post-birth biochemically-confirmed tobacco abstinence than the control group (14.7% vs. 9.2%). Incremental costs averaged $184 per participant for the incentive group compared to controls ($317 vs $133). The ICER of financial incentives was $3399 (95% CI $2228 to $8509) per additional woman who was tobacco abstinent at 6 months post-birth. The ICER was lower ($2518 vs $4760) for women who did not live with another smoker. This study shows use of financial incentives for stop smoking treatment is a cost-effective option for low-income pregnant women who smoke.

Financial incentives to Medicaid smokers for engaging tobacco quit line treatment: maximising return on investment.

BACKGROUND: Low-income smokers experience greater difficulty in quitting smoking than do other smokers. Providing financial incentives for treatment engagement increases smoking cessation success. This study models the cost-effectiveness of varying levels of financial incentives to maximise return on investment (ROI) for engaging low-income Medicaid recipients who smoke to take calls from a tobacco quit line. METHODS: Participants (N=1900) were recruited from May 2013 to June 2015 through quit line-based (n=980), clinic-based (n=444) or community-based referrals (n=476) into the Wisconsin Medicaid Quit Line Incentive project. Incentive (n=948) and control group participants (n=952) received $30 versus $0 per call, respectively, for taking up to five Wisconsin Tobacco Quit Line (WTQL) calls. Cost-effectiveness analyses estimated the incremental cost-effectiveness ratio for alternative financial incentives for engagement with WTQL calls. Probabilistic sensitivity analysis was employed to determine an optimal strategy for financial incentives to minimise the cost per individual who quit smoking. RESULTS: Using fixed payments, the incremental cost-effectiveness ratio of $2316 per smoker who quit in the randomised trial decreased to $2150 per smoker who quit when the incentives were modelled at $20 per each of five WTQL calls taken. Using variable payments, the minimal cost per additional smoker who quit was $2125 when incentives for the first four WTQL calls were set at $20, and the financial payment for the fifth WTQL call was set at $70. CONCLUSIONS: Modelling suggests that financial incentives in the amount of $20 per call for taking the first four quit line calls and $70 for taking a fifth quit line call maximise ROI to engage low-income smokers with evidence-based smoking cessation treatment.

Promoting Safe Injection Practices, Substance Use Reduction, Hepatitis C Testing, and Overdose Prevention Among Syringe Service Program Clients Using a Computer-Tailored Intervention: Pilot Randomized Controlled Trial.

BACKGROUND: Syringe service programs (SSPs) are safe, highly effective programs for promoting health among people who inject drugs. However, resource limitations prevent the delivery of a full package of prevention services to many clients in need. Computer-tailored interventions may represent a promising approach for providing prevention information to people who inject drugs in resource-constrained settings. OBJECTIVE: The aim of this paper is to assess the effect of a computer-tailored behavioral intervention, called Hep-Net, on safe injection practices, substance use reduction, overdose prevention, and hepatitis C virus (HCV) testing among SSP clients. METHODS: Using a social network-based recruitment strategy, we recruited clients of an established SSP in Wisconsin and peers from their social networks. Participants completed a computerized baseline survey and were then randomly assigned to receive the Hep-Net intervention. Components of the intervention included an overall risk synthesis, participants' selection of a behavioral goal, and an individualized risk reduction exercise. Individuals were followed up 3 months later to assess their behavior change. The effect of Hep-Net on receiving an HCV screening test, undergoing Narcan training, reducing the frequency of drug use, and sharing drug equipment was assessed. The individual's readiness to change each behavior was also examined. RESULTS: From 2014 to 2015, a total of 235 people who injected drugs enrolled into the Hep-Net study. Of these, 64.3% (151/235) completed the follow-up survey 3-6 months postenrollment. Compared with the control group, individuals who received the Hep-Net intervention were more likely to undergo HCV testing (odds ratio [OR] 2.23, 95% CI 1.05-4.74; P=.04) and receive Narcan training (OR 2.25, 95% CI 0.83-6.06; P=.11), and they shared drug equipment less frequently (OR 0.06, 95% CI 0.55-0.65; P<.001). Similarly, individuals who received the intervention were more likely to advance in their stage of readiness to change these 3 behaviors. However, intervention participants did not appear to reduce the frequency of drug use or increase their readiness to reduce drug use more than control participants, despite the fact that the majority of the intervention participants selected this as the primary goal to focus on after participation in the baseline survey. CONCLUSIONS: Implementing computer-based risk reduction interventions in SSPs may reduce harms associated with the sharing of injection equipment and prevent overdose deaths; however, brief computerized interventions may not be robust enough to overcome the challenges associated with reducing and ceasing drug use when implemented in settings centered on the delivery of prevention services. TRIAL REGISTRATION: ClinicalTrials.gov NCT02474043; https://clinicaltrials.gov/ct2/show/NCT02474043. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/resprot.4830.

Paying Low-Income Smokers to Quit? The Cost-Effectiveness of Incentivizing Tobacco Quit Line Engagement for Medicaid Recipients Who Smoke.

OBJECTIVES: To determine the cost-effectiveness of an incentive-based stop-smoking intervention that paid Medicaid recipients who smoke to take calls from a tobacco quit line. METHODS: A cost-effectiveness analysis was conducted alongside a randomized controlled trial. The analysis was conducted from a health care systems perspective on the basis of costs and effectiveness over a 6-month follow-up. Participants (n = 1900) were recruited from May 2013 to June 2015 through quit line (n = 980), clinic-based (n = 444), or community-based (n = 476) referrals. Incentive group participants (n = 948) received $30 a call for taking up to five tobacco quit line calls and $40 for biochemically verified tobacco abstinence at 6 months. Control group participants (n = 952) did not receive financial incentives for taking quit line calls. Intervention resource costs included incentive payments to participants, counselor and administrative staff time, and smoking cessation medications. Smoking status at baseline and 6 months was determined for all study participants via carbon monoxide (CO) breath tests (abstinence: CO < 7 ppm). Cost-effectiveness analysis calculated the incremental cost-effectiveness ratio (ICER). RESULTS: Incentive treatment produced higher 6-month CO-confirmed 7-day point-prevalence abstinence than did the control treatment (21.6 vs. 13.8%; P < 0.001). The ICER of the financial incentives intervention was $2316 (95% confidence interval $1582-$4270) per additional person who quit. The study ICER compares favorably with other smoking treatments, such as varenicline combined with proactive telephone counseling, whose ICER has been estimated at $2600 per additional smoker who quits. CONCLUSIONS: Use of financial incentives to engage with tobacco quit line treatment is a cost-effective option to enhance smoking cessation rates for low-income smokers.

Professional Communication Networks and Job Satisfaction in Primary Care Clinics.

PURPOSE: Whereas communication among health care professionals plays an important role in providing the best quality of care for primary care patients, little evidence exists regarding how professional communication contributes to job satisfaction among health care providers, including physicians and clinical staff, in primary care clinics. This study evaluates the extent to which professional communication networks contribute to job satisfaction among health care professionals in primary care clinics. METHODS: A total of 143 health care professionals, including physicians and clinical staff, at 5 US primary care clinics participated in a cross-sectional survey on their communication connections regarding patient care with other care team members and their job satisfaction. Social network analysis calculated core-periphery measures to identify individuals located in a dense cohesive core and in a sparse, loosely connected periphery in the communication network. Generalized linear mixed modeling related core-periphery position of clinic employees in the communication network to job satisfaction, after adjusting for job title, sex, number of years working at the clinic, and percent full-time employment. RESULTS: Average job satisfaction was 5.8 on a scale of 1 to 7. Generalized linear mixed modeling showed that individuals who were in the core of the communication network had significantly greater job satisfaction than those who were on the periphery. Female physicians had lesser overall job satisfaction than other clinic employees. CONCLUSIONS: Interventions targeting professional communication networks might improve health care employee job satisfaction at primary care clinics.

The Role of Adolescent Friendship Group Integration and Cohesion in Weapon-Related Violent Crime as a Young Adult.

Weapon-related violent crime is a serious, complex, and multifaceted public health problem. The present study uses data from Waves I and III of Add Health (n = 10,482, 54% female) to examine how friendship group integration and cohesion in adolescence (ages 12-19) is associated with weapon-related criminal activity as a young adult (ages 18-26). Results indicate that greater cohesion in friendship groups is associated with significantly lower weapon-related criminal activity in young adulthood. In addition, for adolescent girls, a greater number of close friendship ties-an indicator of friendship group integration-is associated with less weapon-related criminal activity in young adulthood. These findings suggest that school-based initiatives to facilitate inclusive and cohesive adolescent peer communities may be an effective strategy to curb weapon-related criminal activity in young adulthood.

A human factors systems approach to understanding team-based primary care: a qualitative analysis.

BACKGROUND: Research shows that high-functioning teams improve patient outcomes in primary care. However, there is no consensus on a conceptual model of team-based primary care that can be used to guide measurement and performance evaluation of teams. OBJECTIVE: To qualitatively understand whether the Systems Engineering Initiative for Patient Safety (SEIPS) model could serve as a framework for creating and evaluating team-based primary care. METHODS: We evaluated qualitative interview data from 19 clinicians and staff members from 6 primary care clinics associated with a large Midwestern university. All health care clinicians and staff in the study clinics completed a survey of their communication connections to team members. Social network analysis identified key informants for interviews by selecting the respondents with the highest frequency of communication ties as reported by their teammates. Semi-structured interviews focused on communication patterns, team climate and teamwork. RESULTS: Themes derived from the interviews lent support to the SEIPS model components, such as the work system (Team, Tools and Technology, Physical Environment, Tasks and Organization), team processes and team outcomes. CONCLUSIONS: Our qualitative data support the SEIPS model as a promising conceptual framework for creating and evaluating primary care teams. Future studies of team-based care may benefit from using the SEIPS model to shift clinical practice to high functioning team-based primary care.

Together Achieving More: Primary Care Team Communication and Alcohol-Related Healthcare Utilization and Costs.

BACKGROUND: Identifying and engaging excessive alcohol users in primary care may be an effective way to improve patient health outcomes, reduce alcohol-related acute care events, and lower costs. Little is known about what structures of primary care team communication are associated with alcohol-related patient outcomes. METHODS: Using a sociometric survey of primary care clinic communication, this study evaluated the relation between team communication networks and alcohol-related utilization of care and costs. Between May 2013 and December 2013, a total of 155 healthcare employees at 6 primary care clinics participated in a survey on team communication. Three-level hierarchical modeling evaluated the link between connectedness within the care team and the number of alcohol-related emergency department visits, hospital days, and associated medical care costs in the past 12 months for each team's primary care patient panel. RESULTS: Teams (n = 31) whose registered nurses displayed more strong (at least daily) face-to-face ties and strong (at least daily) electronic communication ties had 10% fewer alcohol-related hospital days (rate ratio [RR] = 0.90; 95% confidence interval [CI]: 0.84, 0.97). Furthermore, in an average team size of 19, each additional team member with strong interaction ties across the whole team was associated with $1,030 (95% CI: -$1,819, -$241) lower alcohol-related patient healthcare costs per 1,000 team patients in the past 12 months. Conversely, teams whose primary care practitioner (PCP) had more strong face-to-face communication ties and more weak (weekly or several times a week) electronic communication ties had 12% more alcohol-related hospital days (RR = 1.12; 95% CI: 1.03, 1.23) and $1,428 (95% CI: $378, $2,478) higher alcohol-related healthcare costs per 1,000 patients in the past 12 months. The analyses controlled for patient age, gender, insurance, and comorbidity diagnoses. CONCLUSIONS: Excessive alcohol-using patients may fair better if cared for by teams whose face-to-face and electronic communication networks include more team members and whose communication to the PCP has been streamlined to fewer team members.

Effects of primary care team social networks on quality of care and costs for patients with cardiovascular disease.

PURPOSE: Cardiovascular disease is the leading cause of mortality and morbidity in the United States. Primary care teams can be best suited to improve quality of care and lower costs for patients with cardiovascular disease. This study evaluates the associations between primary care team communication, interaction, and coordination (ie, social networks); quality of care; and costs for patients with cardiovascular disease. METHODS: Using a sociometric survey, 155 health professionals from 31 teams at 6 primary care clinics identified with whom they interact daily about patient care. Social network analysis calculated variables of density and centralization representing team interaction structures. Three-level hierarchical modeling evaluated the link between team network density, centralization, and number of patients with a diagnosis of cardiovascular disease for controlled blood pressure and cholesterol, counts of urgent care visits, emergency department visits, hospital days, and medical care costs in the previous 12 months. RESULTS: Teams with dense interactions among all team members were associated with fewer hospital days (rate ratio [RR] = 0.62; 95% CI, 0.50-0.77) and lower medical care costs (-$556; 95% CI, -$781 to -$331) for patients with cardiovascular disease. Conversely, teams with interactions revolving around a few central individuals were associated with increased hospital days (RR = 1.45; 95% CI, 1.09-1.94) and greater costs ($506; 95% CI, $202-$810). Team-shared vision about goals and expectations mediated the relationship between social network structures and patient quality of care outcomes. CONCLUSIONS: Primary care teams that are more interconnected and less centralized and that have a shared team vision are better positioned to deliver high-quality cardiovascular disease care at a lower cost.

Economic Evaluation of Enhanced vs Standard Varenicline Treatment for Tobacco Cessation.

Importance: Smoking is the leading preventable cause of death and illness in the US. Identifying cost-effective smoking cessation treatment may increase the likelihood that health systems deliver such treatment to their patients who smoke. Objective: To evaluate the cost-effectiveness of standard vs enhanced varenicline use (extended varenicline treatment or varenicline in combination with nicotine replacement therapy) among individuals trying to quit smoking. Design, Setting, and Participants: This economic evaluation assesses the Quitting Using Intensive Treatments Study (QUITS), which randomized 1251 study participants who smoked into 4 conditions: (1) 12-week varenicline monotherapy (n = 315); (2) 24-week varenicline monotherapy (n = 311); (3) 12-week varenicline combination treatment with nicotine replacement therapy patch (n = 314); or (4) 24-week varenicline combination treatment with nicotine replacement therapy patch (n = 311). Study enrollment occurred in Madison and Milwaukee, Wisconsin, between November 11, 2017, and July 2, 2020. Statistical analysis took place from May to October 2023. Main Outcomes and Measures: The primary outcome was 7-day point prevalence abstinence (biochemically confirmed with exhaled carbon monoxide level ≤5 ppm) at 52 weeks. The incremental cost-effectiveness ratio (ICER), or cost per additional person who quit smoking, was calculated using decision tree analysis based on abstinence and cost for each arm of the trial. Results: Of the 1251 participants, mean (SD) age was 49.1 (11.9) years, 675 (54.0%) were women, and 881 (70.4%) completed the 52-week follow-up. Tobacco cessation at 52 weeks was 25.1% (79 of 315) for 12-week monotherapy, 24.4% (76 of 311) for 24-week monotherapy, 23.6% (74 of 314) for 12-week combination therapy, and 25.1% (78 of 311) for 24-week combination therapy, respectively. The total mean (SD) cost was $1175 ($365) for 12-week monotherapy, $1374 ($412) for 12-week combination therapy, $2022 ($813) for 24-week monotherapy, and $2118 ($1058) for 24-week combination therapy. The ICER for 12-week varenicline monotherapy was $4681 per individual who quit smoking and $4579 per quality-adjusted life-year (QALY) added. The ICER for 24-week varenicline combination therapy relative to 12-week monotherapy was $92 000 000 per additional individual who quit smoking and $90 000 000 (95% CI, $15 703 to dominated or more costly and less efficacious) per additional QALY. Conclusions and Relevance: This economic evaluation of standard vs enhanced varenicline treatment for smoking cessation suggests that 12-week varenicline monotherapy was the most cost-effective treatment option at the commonly cited threshold of $100 000/QALY. This study provides patients, health care professionals, and other stakeholders with increased understanding of the health and economic impact of more intensive varenicline treatment options.

Cost-Effectiveness of a Comprehensive Primary Care Smoking Treatment Program.

INTRODUCTION: Smoking is the leading preventable cause of death and disease in the U.S. This study evaluates the cost-effectiveness from a healthcare system perspective of a comprehensive primary care intervention to reduce smoking rates. METHODS: This pragmatic trial implemented electronic health record prompts during primary care visits and employed certified tobacco cessation specialists to offer proactive outreach and smoking cessation treatment to patients who smoke. The data, analyzed in 2022, included 10,683 patients in the smoking registry from 2017 to 2020. Pre-post analyses compared intervention costs to treatment engagement, successful self-reported smoking cessation, and acute health care utilization (urgent care, emergency department visits, and inpatient hospitalization). Cost per quality-adjusted life year was determined by applying conversion factors obtained from the tobacco research literature to the cost per patient who quit smoking. RESULTS: Tobacco cessation outreach, medication, and counseling costs increased from $2.64 to $6.44 per patient per month, for a total post-implementation intervention cost of $500,216. Smoking cessation rates increased from 1.3% pre-implementation to 8.7% post-implementation, for an incremental effectiveness of 7.4%. The incremental cost-effectiveness ratio was $628 (95% CI: $568, $695) per person who quit smoking, and $905 (95% CI: $822, $1,001) per quality-adjusted life year gained. Acute health care costs decreased by an average of $42 (95% CI: -$59, $145) per patient per month for patients in the smoking registry. CONCLUSIONS: Implementation of a comprehensive and proactive smoking cessation outreach and treatment program for adult primary care patients who smoke meets typical cost-effectiveness thresholds for healthcare.

Adolescent alcohol use, sociability and income as a young adult.

We use data from the National Longitudinal Survey of Adolescent Health (Add Health) to study how sociability and adolescent alcohol use impact personal income as a young adult. We find that factors which enhance not only individual sociability but also social interaction at the community level are positively linked to future earnings of adolescents. Adolescents whose friends and friends of friends have greater sociability reap long-term labor market rewards into adulthood. After adjusting for individual and community sociability, the effect of teenage alcohol consumption on labor market earnings as young adults is reduced. Our results suggest that earnings premiums associated with adolescent alcohol consumption may be partially explained by social network dynamics.

Rapid Detection of Influenza Outbreaks in Long-Term Care Facilities Reduces Emergency Room Visits and Hospitalization: A Randomized Trial.

OBJECTIVES: To assess whether the use of rapid influenza diagnostic tests (RIDTs) for long-term care facility (LTCF) residents with acute respiratory infection is associated with increased antiviral use and decreased health care utilization. DESIGN: Nonblinded, pragmatic, randomized controlled trial evaluating a 2-part intervention with modified case identification criteria and nursing staff-initiated collection of nasal swab specimen for on-site RIDT. SETTING AND PARTICIPANTS: Residents of 20 LTCFs in Wisconsin matched by bed capacity and geographic location and then randomized. METHODS: Primary outcome measures, expressed as events per 1000 resident-weeks, included antiviral treatment courses, antiviral prophylaxis courses, total emergency department (ED) visits, ED visits for respiratory illness, total hospitalizations, hospitalizations for respiratory illness, hospital length of stay, total deaths, and deaths due to respiratory illness over 3 influenza seasons. RESULTS: Oseltamivir use for prophylaxis was higher at intervention LTCFs [2.6 vs 1.9 courses per 1000 person-weeks; rate ratio (RR) 1.38, 95% CI 1.24-1.54; P < .001]; rates of oseltamivir use for influenza treatment were not different. Rates of total ED visits (7.6 vs 9.8/1000 person-weeks; RR 0.78, 95% CI 0.64-0.92; P = .004), total hospitalizations (8.6 vs 11.0/1000 person-weeks; RR 0.79, 95% CI 0.67-0.93; P = .004), and hospital length of stay (35.6 days vs 55.5 days/1000 person-weeks; RR 0.64, 95% CI 0.0.59-0.69; P < .001) were lower at intervention as compared to control LTCFs. No significant differences were noted for respiratory-related ED visits or hospitalizations or in rates for all-cause or respiratory-associated mortality. CONCLUSIONS AND IMPLICATIONS: The use of low threshold criteria to trigger nursing staff-initiated testing for influenza with RIDT resulted in increased prophylactic use of oseltamivir. There were significant reductions in the rates of all-cause ED visits (22% decline), hospitalizations (21% decline), and hospital length of stay (36% decline) across 3 combined influenza seasons. No significant differences were noted in respiratory-associated and all-cause deaths between intervention and control sites.

Wisconsin Healthcare Utilization Cost Among American Indians/Alaska Natives with and without Alzheimer's Disease and Related Dementias.

Individuals with Alzheimer's disease and related dementias (ADRD) accrue higher healthcare utilization costs than peers without ADRD, but incremental costs of ADRD among American Indians/Alaska Natives (AI/AN) is unknown. State-wide paid electronic health record data were retrospectively analyzed using percentile-based bootstrapped 95% confidence intervals of the weighted mean difference of total 5-year billed costs to compare total accrued for non-Tribal and Indian Health Service utilization costs among Medicaid and state program eligible AI/AN, ≥40 years, based on the presence/absence of ADRD (matching by demographic and medical factors). AI/AN individuals with ADRD accrued double the costs compared to those without ADRD, costing an additional $880.45 million to $1.91 billion/year.

Deployment of Real-time Natural Language Processing and Deep Learning Clinical Decision Support in the Electronic Health Record: Pipeline Implementation for an Opioid Misuse Screener in Hospitalized Adults.

BACKGROUND: The clinical narrative in electronic health records (EHRs) carries valuable information for predictive analytics; however, its free-text form is difficult to mine and analyze for clinical decision support (CDS). Large-scale clinical natural language processing (NLP) pipelines have focused on data warehouse applications for retrospective research efforts. There remains a paucity of evidence for implementing NLP pipelines at the bedside for health care delivery. OBJECTIVE: We aimed to detail a hospital-wide, operational pipeline to implement a real-time NLP-driven CDS tool and describe a protocol for an implementation framework with a user-centered design of the CDS tool. METHODS: The pipeline integrated a previously trained open-source convolutional neural network model for screening opioid misuse that leveraged EHR notes mapped to standardized medical vocabularies in the Unified Medical Language System. A sample of 100 adult encounters were reviewed by a physician informaticist for silent testing of the deep learning algorithm before deployment. An end user interview survey was developed to examine the user acceptability of a best practice alert (BPA) to provide the screening results with recommendations. The planned implementation also included a human-centered design with user feedback on the BPA, an implementation framework with cost-effectiveness, and a noninferiority patient outcome analysis plan. RESULTS: The pipeline was a reproducible workflow with a shared pseudocode for a cloud service to ingest, process, and store clinical notes as Health Level 7 messages from a major EHR vendor in an elastic cloud computing environment. Feature engineering of the notes used an open-source NLP engine, and the features were fed into the deep learning algorithm, with the results returned as a BPA in the EHR. On-site silent testing of the deep learning algorithm demonstrated a sensitivity of 93% (95% CI 66%-99%) and specificity of 92% (95% CI 84%-96%), similar to published validation studies. Before deployment, approvals were received across hospital committees for inpatient operations. Five interviews were conducted; they informed the development of an educational flyer and further modified the BPA to exclude certain patients and allow the refusal of recommendations. The longest delay in pipeline development was because of cybersecurity approvals, especially because of the exchange of protected health information between the Microsoft (Microsoft Corp) and Epic (Epic Systems Corp) cloud vendors. In silent testing, the resultant pipeline provided a BPA to the bedside within minutes of a provider entering a note in the EHR. CONCLUSIONS: The components of the real-time NLP pipeline were detailed with open-source tools and pseudocode for other health systems to benchmark. The deployment of medical artificial intelligence systems in routine clinical care presents an important yet unfulfilled opportunity, and our protocol aimed to close the gap in the implementation of artificial intelligence-driven CDS. TRIAL REGISTRATION: ClinicalTrials.gov NCT05745480; https://www.clinicaltrials.gov/ct2/show/NCT05745480.

Alcohol-induced memory blackouts as an indicator of injury risk among college drinkers.

BACKGROUND: An alcohol-induced memory blackout represents an amnesia to recall events but does not involve a loss of consciousness. Memory blackouts are a common occurrence among college drinkers, but it is not clear if a history of memory blackouts is predictive of future alcohol-related injury above and beyond the risk associated with heavy drinking episodes. OBJECTIVE: To determine whether baseline memory blackouts can prospectively identify college students with alcohol-related injury in the next 24 months after controlling for heavy drinking days. METHODS: Data were analysed from the College Health Intervention Project Study (CHIPS), a randomised controlled trial of screening and brief physician intervention for problem alcohol use among 796 undergraduate and 158 graduate students at four university sites in the USA and one in Canada, conducted from 2004 to 2009. Multivariate analyses used generalised estimating equations with the logit link. RESULTS: The overall 24-month alcohol-related injury rate was 25.6%, with no significant difference between men and women (p=0.51). Alcohol-induced memory blackouts at baseline exhibited a significant dose-response on odds of alcohol-related injury during follow-up, increasing from 1.57 (95% CI 1.13 to 2.19) for subjects reporting 1-2 memory blackouts at baseline to 2.64 (95% CI 1.65 to 4.21) for students acknowledging 6+ memory blackouts at baseline. The link between memory blackouts and injury was mediated by younger age, prior alcohol-related injury, heavy drinking, and sensation-seeking disposition. CONCLUSIONS: Memory blackouts are a significant predictor of future alcohol-related injury among college drinkers after adjusting for heavy drinking episodes.