Development of a Tobacco Cessation Clinical Decision Support System for Pediatric Emergency Nurses

Monitoring the Implementation of Tobacco Cessation Support Tools: Using Novel Electronic Health Record Activity Metrics

BACKGROUND

Clinical decision support (CDS) tools in electronic health records (EHRs) are often used as core strategies to support quality improvement programs in the clinical setting. Monitoring the impact (intended and unintended) of these tools is crucial for program evaluation and adaptation. Existing approaches for monitoring typically rely on health care providers' self-reports or direct observation of clinical workflows, which require substantial data collection efforts and are prone to reporting bias.

OBJECTIVE

This study aims to develop a novel monitoring method leveraging EHR activity data and demonstrate its use in monitoring the CDS tools implemented by a tobacco cessation program sponsored by the National Cancer Institute's Cancer Center Cessation Initiative (C3I).

METHODS

We developed EHR-based metrics to monitor the implementation of two CDS tools: (1) a screening alert reminding clinic staff to complete the smoking assessment and (2) a support alert prompting health care providers to discuss support and treatment options, including referral to a cessation clinic. Using EHR activity data, we measured the completion (encounter-level alert completion rate) and burden (the number of times an alert was fired before completion and time spent handling the alert) of the CDS tools. We report metrics tracked for 12 months post implementation, comparing 7 cancer clinics (2 clinics implemented the screening alert and 5 implemented both alerts) within a C3I center, and identify areas to improve alert design and adoption.

RESULTS

The screening alert fired in 5121 encounters during the 12 months post implementation. The encounter-level alert completion rate (clinic staff acknowledged completion of screening in EHR: 0.55; clinic staff completed EHR documentation of screening results: 0.32) remained stable over time but varied considerably across clinics. The support alert fired in 1074 encounters during the 12 months. Providers acted upon (ie, not postponed) the support alert in 87.3% (n=938) of encounters, identified a patient ready to quit in 12% (n=129) of encounters, and ordered a referral to the cessation clinic in 2% (n=22) of encounters. With respect to alert burden, on average, both alerts fired over 2 times (screening alert: 2.7; support alert: 2.1) before completion; time spent postponing the screening alert was similar to completing (52 vs 53 seconds) the alert, and time spent postponing the support alert was more than completing (67 vs 50 seconds) the alert per encounter. These findings inform four areas where the alert design and use can be improved: (1) improving alert adoption and completion through local adaptation, (2) improving support alert efficacy by additional strategies including training in provider-patient communication, (3) improving the accuracy of tracking for alert completion, and (4) balancing alert efficacy with the burden.

CONCLUSIONS

EHR activity metrics were able to monitor the success and burden of tobacco cessation alerts, allowing for a more nuanced understanding of potential trade-offs associated with alert implementation. These metrics can be used to guide implementation adaptation and are scalable across diverse settings.

Healthcare resources attributable to child tobacco smoke exposure

Background

Tobacco smoke exposure (TSE) places an economic toll on the U.S. healthcare system. There is a gap in the literature on pediatric emergency department (ED) and urgent care related healthcare costs and utilization specific to tobacco smoke-exposed patients. The objectives were to assess pediatric ED visits, urgent care visits and hospital admissions longitudinally, and baseline visit costs among tobacco smoke-exposed children (TSE group) relative to unexposed children (non-TSE group).

Methods and findings

We conducted a retrospective study using electronic medical records of 380 children ages 0–17 years in the TSE group compared to 1,140 in the non-TSE group propensity score matched via nearest neighbor search by child age, sex, race, and ethnicity. Linear and Poisson regression models were used. Overall, children had a mean of 0.19 (SE = 0.01) repeat visits within 30-days, and 0.69 (SE = 0.04) pediatric ED visits and 0.87 (SE = 0.03) urgent care visits over 12-months following their baseline visit. The percent of children with ≥ 1 urgent care visit was higher among the TSE group (52.4%) than the non-TSE group (45.1%, p = 0.01). Children in the TSE group (M = $1,136.97, SE = 76.44) had higher baseline pediatric ED visit costs than the non-TSE group (M = $1,018.96, SE = 125.51, p = 0.01). Overall, children had 0.08 (SE = 0.01) hospital admissions over 12-months, and the TSE group (M = 0.12, SE = 0.02) had higher mean admissions than the non-TSE group (M = 0.06, SE = 0.01, p = 0.02). The child TSE group was at 1.85 times increased risk of having hospital admissions (95% CI = 1.23, 2.79, p = 0.003) than the non-TSE group.

Conclusions

Tobacco smoke-exposed children had higher urgent care utilization and hospital admissions over 12-months, and higher pediatric ED costs at baseline. Pediatric ED visits, urgent care visits, and hospitalizations may be opportune times for initiating tobacco control interventions, which may result in reductions of preventable acute care visits.

Barriers to Tobacco Cessation for Caregivers of Hospitalized Children: Perspectives of Pediatric Hospitalists

OBJECTIVES

Secondhand smoke exposure is associated with adverse health outcomes in children, yet tobacco cessation efforts for caregivers of hospitalized children are lacking. We sought to explore pediatric hospitalists' attitudes and barriers to providing tobacco cessation for caregivers of hospitalized children.

METHODS

We conducted a cross-sectional survey of pediatric hospitalists and fellows at 7 hospitals from November 1, 2018, to November 30, 2019. A 70-question anonymous survey was used to assess participants' perceptions of current practices, attitudes, and barriers to providing tobacco cessation support for caregivers of hospitalized children. We used descriptive statistics to summarize the data.

RESULTS

Of 207 eligible participants, 100 responded (48%). A majority (79%) agreed that offering tobacco cessation counseling for caregivers is an important part of their role in caring for hospitalized children, but 79% never received tobacco cessation training. Only half of the participants were comfortable providing brief advice and few were comfortable prescribing nicotine replacement therapy. Identified barriers included lack of time (74%), perceived lack of interest from patients' caregivers (71%), and other medical conditions of the patient taking priority (70%). The majority of participants were interested in further training in tobacco cessation support.

CONCLUSIONS

In this survey of 100 pediatric hospitalists, we found overall agreement that tobacco cessation support for caregivers of hospitalized children is important. However, most participants did not feel comfortable with provision of evidence-based counseling or pharmacotherapy because of identified barriers. Future work should target actionable barriers to improve provision of tobacco cessation support in this clinical setting.

Utilization of a Clinical Decision Support Tool to Reduce Child Tobacco Smoke Exposure in the Urgent Care Setting

BACKGROUND

Clinical decision support systems (CDSS) may facilitate caregiver tobacco screening and counseling by pediatric urgent care (UC) nurses.

OBJECTIVE

This study aimed to assess the feasibility of a CDSS to address caregivers' tobacco use and child tobacco smoke exposure (TSE).

METHODS

We conducted a 3-month prospective study on caregivers screened using a CDSS. Nurses used the CDSS to advise, assess, and assist caregivers to quit. We assessed caregiver sociodemographics, smoking habits, and child TSE.

RESULTS

We screened 185 caregivers whose children were exposed to TSE for study inclusion; 155 (84%) met the eligibility criteria, and 149 (80.5%) were included in the study. Study nurses advised 35.2% of the caregivers to quit, assessed 35.9% for readiness to quit, and assisted 32.4%. Of the 149 participants, 83.1% were female; 47.0% were white and 45.6% African American; 84.6% had public insurance or were self-pay; 71.1% were highly nicotine dependent; 50.0% and 50.7% allowed smoking in the home and car, respectively; and 81.3% of children were biochemically confirmed to be exposed to tobacco smoke. At follow-up (86.6% retention), 58.9% reported quit attempts at 3 months. There was a significant decrease in nicotine dependence and a significant increase in motivation to quit. Self-reported quit rate was 7.8% at 3 months.

CONCLUSIONS

An electronic health record-embedded CDSS was feasible to incorporate into busy UC nurses' workloads and was associated with encouraging changes in the smoking behavior of caregivers. More research on the use of CDSS to screen and counsel caregivers who smoke in the UC and other acute care settings is warranted.

Tobacco Use Assessment and Treatment in Cancer Patients: A Scoping Review of Oncology Care Clinician Adherence to Clinical Practice Guidelines in the U.S

BACKGROUND

Smoking after a cancer diagnosis negatively impacts health outcomes; smoking cessation improves symptoms, side effects, and overall prognosis. The Public Health Service and major oncology organizations have established guidelines for tobacco use treatment among cancer patients, including clinician assessment of tobacco use at each visit. Oncology care clinicians (OCCs) play important roles in this process (noted as the 5As: Asking about tobacco use, Advising users to quit, Assessing willingness to quit, Assisting in quit attempts, and Arranging follow-up contact). However, OCCs may not be using the "teachable moments" related to cancer diagnosis, treatment, and survivorship to provide cessation interventions.

MATERIALS AND METHODS

In this scoping literature review of articles from 2006 to 2017, we discuss (1) frequency and quality of OCCs' tobacco use assessments with cancer patients and survivors; (2) barriers to providing tobacco treatment for cancer patients; and (3) the efficacy and future of provider-level interventions to facilitate adherence to tobacco treatment guidelines.

RESULTS

OCCs are not adequately addressing smoking cessation with their patients. The reviewed studies indicate that although >75% assess tobacco use during an intake visit and >60% typically advise patients to quit, a substantially lower percentage recommend or arrange smoking cessation treatment or follow-up after a quit attempt. Less than 30% of OCCs report adequate training in cessation interventions.

CONCLUSION

Intervention trials focused on provider- and system-level change are needed to promote integration of evidence-based tobacco treatment into the oncology setting. Attention should be given to the barriers faced by OCCs when targeting interventions for the oncologic context.

IMPLICATIONS FOR PRACTICE

This article reviews the existing literature on the gap between best and current practices for tobacco use assessment and treatment in the oncologic context. It also identifies clinician- and system-level barriers that should be addressed in order to lessen this gap and provides suggestions that could be applied across different oncology practice settings to connect patients with tobacco use treatments that may improve overall survival and quality of life.

An Electronic Health Record-Based Strategy to Address Child Tobacco Smoke Exposure

INTRODUCTION

A high proportion of children presenting to pediatric urgent cares are exposed to tobacco smoke. An electronic health record-based clinical decision support system for nurses to facilitate guideline-based tobacco smoke exposure screening and counseling for caregivers who smoke was designed and evaluated.

DESIGN

A mixed-methods, 3-month, prospective study that began in November 2015, data were analyzed in June 2016.

SETTING/PARTICIPANTS

Five urgent cares that were part of a large children's hospital in Cincinnati, OH. Participants were urgent care nurses.

INTERVENTION

The clinical decision support system prompted nurses to Ask, Advise, Assess, and Assist caregivers to quit smoking. Monthly feedback reports were also provided.

MAIN OUTCOME MEASURE

Clinical decision support system use rates, nurses' attitudes towards tobacco smoke exposure intervention, and percentage of children screened and caregivers counseled.

RESULTS

All nurses used the clinical decision support system. Compared with Month 1, nurses were twice as likely to advise and assess during Months 2 and 3. There was significant improvement in nurses feeling prepared to assist caregivers in quitting. Nurses reported that feedback reports motivated them to use the clinical decision support system, and that it was easy to use. Almost 65% of children were screened for tobacco smoke exposure; 19.5% screened positive. Of caregivers identified as smokers, 26% were advised to quit and 29% were assessed for readiness to quit. Of those assessed, 67% were interested in quitting, and of those, 100% were assisted.

CONCLUSIONS

A clinical decision support system increased rates of tobacco smoke exposure screening and intervention in pediatric urgent cares. Rates might further improve by incorporating all components of the clinical decision support system into the electronic health record.

TRIAL REGISTRATION

This study is registered at www.clinicaltrials.gov NCT02489708.

Secondhand Smoke Exposure and Pediatric Healthcare Visits and Hospitalizations

INTRODUCTION

This study assessed the relationship between secondhand smoke exposure (SHSe) as measured by serum cotinine and healthcare utilization among children.

METHODS

In 2016, the 2009-2012 National Health and Nutrition Examination Survey data were analyzed including 4,985 children aged 3-19 years. Associations between SHSe and having a routine place for healthcare, type of place, and hospital utilization were examined using logistic regression models. Poisson regression analyses assessed the relationship between SHSe and number of hospital admissions. Relationships between SHSe and acute care visits and hospital utilization were examined among asthmatic children.

RESULTS

SHSe level did not differ by having a routine place for healthcare, although children with high SHSe indicative of active smoking (cotinine ≥3 ng/mL) were 3.49 times (95% CI=1.77, 6.89) more likely to use an emergency department. Children with high SHSe were 2.85 times (95% CI=1.87, 4.34) more likely to have had an overnight hospital stay. Children with high SHSe had 2.05 times (95% CI=1.46, 2.87) the risk of having a higher number of hospital admissions for overnight stays versus children with no SHSe (cotinine <0.05 ng/mL). Among asthmatic children, those with high SHSe and low SHSe (cotinine 0.05-2.99 ng/mL) were more likely to have an acute care visit, overnight hospital stay, and higher number of hospital admissions than asthmatic children with no SHSe.

CONCLUSIONS

High SHSe is associated with increased healthcare utilization. The emergency department and inpatient settings are important venues in which to routinely offer cessation and SHSe reduction interventions.