Improved asthma outcomes observed in the vicinity of coal power plant retirement, retrofit, and conversion to natural gas

Coal-fired power plants release substantial air pollution, including over 60% of U.S. sulfur dioxide (SO2) emissions in 2014. Such air pollution may exacerbate asthma however direct studies of health impacts linked to power plant air pollution are rare. Here, we take advantage of a natural experiment in Louisville, Kentucky, where one coal-fired power plant retired and converted to natural gas, and three others installed SO2 emission control systems between 2013 and 2016. Dispersion modeling indicated exposure to SO2 emissions from these power plants decreased after the energy transitions. We used several analysis strategies, including difference-in-differences, first-difference, and interrupted time-series modeling to show that the emissions control installations and plant retirements were associated with reduced asthma disease burden related to ZIP code-level hospitalizations and emergency room visits, and individual-level medication use as measured by digital medication sensors.

Assessing asthma control: comparison of electronic-recorded short-acting beta-agonist rescue use and self-reported use utilizing the asthma control test

Background: Question 4 (Q4) of the Asthma Control Test (ACT) asks patients to report their SABA use over the prior 4 weeks, a criterion for evaluating the impairment domain of asthma control. Biases in recall may lead to a misclassification of asthma control and has implications for asthma control determination and management strategies.Objective: To correlate objective electronic-recorded short-acting beta-agonist (SABA) use with self-reported use via Q4 of the ACT.Methods: Patients ≥18 years of age with a self-reported diagnosis of asthma were enrolled in a digital health electronic medication monitoring (EMM) platform, which recorded the date and time of SABA actuations and prompted the completion of the ACT. The correlations between ACT Q4 responses and EMM-recorded SABA use were evaluated using Spearman's rank correlation coefficients.Results: 1,062 patients (mean age: 35.4 years, mean ACT: 16.3) were included in analyses. Higher Q4 scores, indicating lower SABA use, were moderately and negatively correlated with EMM-recorded SABA use (ρ = -0.59 [95% CI: -0.63, -0.54]). Thirty-five percent of patients underreported SABA use when comparing Q4 to EMM-recorded SABA use.Conclusions: While ACT Q4 and EMM-recorded use were moderately correlated, underreported SABA use on the ACT highlights the need for objective measures of SABA use in asthma control assessments. The use of EMM-recorded SABA data has the potential for clinicians to more accurately determine asthma control, guide changes to controller therapy, and estimate imminent exacerbation risk.

Passive Monitoring of Short-Acting Beta-Agonist Use via Digital Platform in Patients With Chronic Obstructive Pulmonary Disease: Quality Improvement Retrospective Analysis

BACKGROUND

Digital health programs assist patients with chronic obstructive pulmonary disease (COPD) to better manage their disease. Technological and adoption barriers have been perceived as a limitation.

OBJECTIVE

The aim of the research was to evaluate a digital quality improvement pilot in Medicare-eligible patients with COPD.

METHODS

COPD patients were enrolled in a digital platform to help manage their medications and symptoms as part of their routine clinical care. Patients were provided with electronic medication monitors (EMMs) to monitor short-acting beta-agonist (SABA) use passively and a smartphone app to track use trends and receive feedback. Providers also had access to data collected via a secure website and were sent email notifications if a patient had a significant change in their prescribed inhaler use. Providers then determined if follow-up was needed. Change in SABA use and feasibility outcomes were evaluated at 3, 6, and 12 months.

RESULTS

A total of 190 patients enrolled in the pilot. At 3, 6, and 12 months, patients recorded significant reductions in daily and nighttime SABA use and increases in SABA-free days (all P<.001). Patient engagement, as measured by the ratio of daily active use to monthly active use, was >90% at both 6 and 12 months. Retention at 6 months was 81% (154/190). Providers were sent on average two email notifications per patient during the 12-month program.

CONCLUSIONS

A digital health program integrated as part of standard clinical practice was feasible and had low provider burden. The pilot demonstrated significant reduction in SABA use and increased SABA-free days among Medicare-eligible COPD patients. Further, patients readily adopted the digital platform and demonstrated strong engagement and retention rates at 6 and 12 months.

Impact of a digital health intervention on asthma resource utilization

Digital health interventions have been associated with reduced rescue inhaler use and improved controller medication adherence. This quality improvement project assessed the benefit of these interventions on asthma-related healthcare utilizations, including hospitalizations, emergency department (ED) utilization and outpatient visits. The intervention consisted of electronic medication monitors (EMMs) that tracked rescue and controller inhaler medication use, and a digital health platform that presented medication use information and asthma control status to patients and providers. In 224 study patients, the number of asthma-related ED visits and combined ED and hospitalization events 365 days pre- to 365 days post-enrollment to the intervention significantly decreased from 11.6 to 5.4 visits (p < 0.05) and 13.4 to 5.8 events (p < 0.05) per 100 patient-years, respectively. This digital health intervention was successfully incorporated into routine clinical practice and was associated with lower rates of asthma-related hospitalizations and ED visits.

Smartphone-Based Geofencing to Ascertain Hospitalizations

BACKGROUND

Ascertainment of hospitalizations is critical to assess quality of care and the effectiveness and adverse effects of various therapies. Smartphones, mobile geolocators that are ubiquitous, have not been leveraged to ascertain hospitalizations. Therefore, we evaluated the use of smartphone-based geofencing to track hospitalizations.

METHODS AND RESULTS

Participants aged ≥18 years installed a mobile application programmed to geofence all hospitals using global positioning systems and cell phone tower triangulation and to trigger a smartphone-based questionnaire when located in a hospital for ≥4 hours. An in-person study included consecutive consenting patients scheduled for electrophysiology and cardiac catheterization procedures. A remote arm invited Health eHeart Study participants who consented and engaged with the study via the internet only. The accuracy of application-detected hospitalizations was confirmed by medical record review as the reference standard. Of 22 eligible in-person patients, 17 hospitalizations were detected (sensitivity 77%; 95% confidence interval, 55%-92%). The length of stay according to the application was positively correlated with the length of stay ascertained via the electronic medical record (r=0.53; P=0.03). In the remote arm, the application was downloaded by 3443 participants residing in all 50 US states; 243 hospital visits at 119 different hospitals were detected through the application. The positive predictive value for an application-reported hospitalization was 65% (95% confidence interval, 57%-72%).

CONCLUSIONS

Mobile application-based ascertainment of hospitalizations can be achieved with modest accuracy. This first proof of concept may ultimately be applicable to geofencing other types of prespecified locations to facilitate healthcare research and patient care.

Direct Measurements of Smartphone Screen-Time: Relationships with Demographics and Sleep

BACKGROUND

Smartphones are increasingly integrated into everyday life, but frequency of use has not yet been objectively measured and compared to demographics, health information, and in particular, sleep quality.

AIMS

The aim of this study was to characterize smartphone use by measuring screen-time directly, determine factors that are associated with increased screen-time, and to test the hypothesis that increased screen-time is associated with poor sleep.

METHODS

We performed a cross-sectional analysis in a subset of 653 participants enrolled in the Health eHeart Study, an internet-based longitudinal cohort study open to any interested adult (≥ 18 years). Smartphone screen-time (the number of minutes in each hour the screen was on) was measured continuously via smartphone application. For each participant, total and average screen-time were computed over 30-day windows. Average screen-time specifically during self-reported bedtime hours and sleeping period was also computed. Demographics, medical information, and sleep habits (Pittsburgh Sleep Quality Index-PSQI) were obtained by survey. Linear regression was used to obtain effect estimates.

RESULTS

Total screen-time over 30 days was a median 38.4 hours (IQR 21.4 to 61.3) and average screen-time over 30 days was a median 3.7 minutes per hour (IQR 2.2 to 5.5). Younger age, self-reported race/ethnicity of Black and "Other" were associated with longer average screen-time after adjustment for potential confounders. Longer average screen-time was associated with shorter sleep duration and worse sleep-efficiency. Longer average screen-times during bedtime and the sleeping period were associated with poor sleep quality, decreased sleep efficiency, and longer sleep onset latency.

CONCLUSIONS

These findings on actual smartphone screen-time build upon prior work based on self-report and confirm that adults spend a substantial amount of time using their smartphones. Screen-time differs across age and race, but is similar across socio-economic strata suggesting that cultural factors may drive smartphone use. Screen-time is associated with poor sleep. These findings cannot support conclusions on causation. Effect-cause remains a possibility: poor sleep may lead to increased screen-time. However, exposure to smartphone screens, particularly around bedtime, may negatively impact sleep.

SafeTalk: Training Peers to Deliver a Motivational Interviewing HIV Prevention Program

As multiple effective interventions emerge to reduce the spread of HIV, there is a need to implement and disseminate such programs cost-effectively, such as by expanding service delivery through integration of peer supporters. The benefits of peer support are well established. However, knowledge about peer counseling initiatives remain limited. This pilot study tested the feasibility, fidelity, and acceptability of a motivational interviewing (MI) counseling training with individuals living with HIV to serve as peer counselors in order to address medication adherence and safer sex. We adapted, SafeTalk, an evidence-based intervention previously delivered by health professionals to reduce risky sexual behaviors among people living with HIV. We trained six peers in a 5-day program (24 hours total) over a 2-month period. We used a combination of training observation, pre-and posttests, debriefing, and the Motivational Interviewing Treatment Integrity (MITI 3.1) scale 3.1 to assess implementation of the training. Results suggest the program was feasible, and there was positive acceptability. However, fidelity to MI was poor. While participants were dedicated and enthusiastic about the training and able to learn some skills and demonstrate the "spirit of MI," they had difficulty with reflecting and moving away from giving direct advice. Training challenges and successes are discussed.

Implementing a one-on-one peer support program for cancer survivors using a motivational interviewing approach: results and lessons learned

Peer Connect matches cancer survivors and caregivers (guides) with those currently experiencing cancer-related issues seeking support (partners). Motivational interviewing (MI)-based communication skills are taught to provide patient-centered support. There is little guidance about MI-based applications with cancer survivors who may have multiple coping needs. This paper addresses the results and lessons learned from implementing Peer Connect. Thirteen cancer survivors and two caregivers received a 2-day MI, DVD-based training along with six supplemental sessions. Nineteen partners were matched with guides and received telephone support. Evaluation included guide skill assessment (Motivational Interviewing Treatment Integrity Code) and 6-month follow-up surveys with guides and partners. Guides demonstrated MI proficiency and perceived their training as effective. Guides provided on average of five calls to each partner. Conversation topics included cancer fears, family support needs, coping and care issues, and cancer-related decisions. Partners reported that guides provided a listening ear, were supportive, and nonjudgmental. Limited time availability of some guides was a challenge. MI can provide support for cancer survivors and caregivers without specific behavioral concerns (e.g., weight and smoking). An MI support model was both feasible and effective and can provide additional support outside of the medical system.

The use of motivational interviewing to promote peer-to-peer support for cancer survivors

Motivational interviewing (MI) as a counseling approach has gained empirical support for its use in a number of settings and for a variety of behaviors. However, the majority of practitioners trained to use MI have been professionals rather than laypeople. This article presents the rationale, design, and evaluation of an MI-based training for cancer survivors and caregivers to deliver peer support. The training and evaluation of the peers ("guides") to encourage practice and increase research knowledge for using MI-based peer support models for cancer care are discussed. Thirteen cancer survivors and two caregivers received two-day DVD-based MI training, as well as supplemental monthly sessions for six months. The guides demonstrated MI proficiency as assessed by the MI Treatment Integrity scale and other process evaluation assessments. MI can be adapted to train laypeople to provide support for groups such as cancer survivors.

Adult cancer survivorship care: experiences from the LIVESTRONG centers of excellence network

BACKGROUND

The objectives of this study were to characterize survivorship models of care across eight LIVESTRONG Survivorship Center of Excellence (COE) Network sites and to identify barriers and facilitators influencing survivorship care.

METHODS

Using the framework of the Chronic Care Model (CCM), quantitative and qualitative methods of inquiry were conducted with the COEs. Methods included document reviews, key informant telephone interviews with 39 participants, online Assessment of Chronic Illness Care (ACIC) surveys with 40 participants, and three site visits.

RESULTS

Several overarching themes emerged in qualitative interviews and were substantiated by quantitative methods. Health system factors supporting survivorship care include organization and leadership commitment and program champions at various levels of the health care team. System barriers include reimbursement issues, lack of space, and the need for leadership commitment to support changes in clinical practices as well as having program "champions" among clinical staff. Multiple models of care include separate survivorship clinics and integrated models as well as consultative models. COEs' scores on the ACIC survey showed overall "reasonable support" for survivorship care; however, the clinical information system domain was least developed. Although the ACIC findings indicated "reasonable support" for self-management, the qualitative analysis revealed that self-management support was largely limited to health promotion provided in clinic-based education and counseling sessions, with few COEs providing patients with self-management tools and interventions.

CONCLUSIONS

The CCM framework captured experiences and challenges of these COEs and provided insight into the current state of survivorship care in the context of National Cancer Institute-designated comprehensive cancer centers. Findings showed that cancer patients and providers could benefit from clinical information systems that would better identify candidates for survivorship care and provide timely information. In addition, a crucial area for development is self-management support outside of clinical care.

IMPLICATIONS FOR CANCER SURVIVORS

Cancer survivors may benefit from learning about the experience and challenges faced by the eight LIVESTRONG Centers of Excellence in developing programs and models for cancer survivorship care, and these findings may inform patient and caregiver efforts to seek, evaluate, and advocate for quality survivorship programs designed to meet their needs.

Gamma-hydroxybutyrate (GHB): a newer drug of abuse

Gamma-hydroxybutyrate (GHB) is an illicitly marketed substance that has recently gained popularity among body builders and party attendees as a drug of abuse. GHB is a depressant that acts on the central nervous system. It is purported as a strength enhancer, euphoriant and aphrodisiac and is one of several agents reported as being used as a "date rape" drug. Because of its central nervous system depressant effects, GHB can be lethal when combined with alcohol or other depressants. Currently, there is no accepted medical use for GHB, and the U.S. Food and Drug Administration has prohibited its manufacture and sale. Clinicians should be familiar with the typical clinical presentation of GHB and its adverse effects. In addition, patients should be warned of its potential toxicity and be cautioned to avoid the use of GHB.

Accuracy of electrocardiogram reading by family practice residents

OBJECTIVES

This study evaluated the electrocardiogram (EKG) reading skills of family practice residents.

METHODS

A multicenter study was carried out to evaluate the accuracy of EKG reading in the family practice setting. Based on the frequency and potential for clinical significance, we chose 18 common findings on 10 EKGs for evaluation. The EKGs were then distributed to residents at six family practice residencies. Residents were given one point for the identification of each correct EKG finding and scored based on the number correct over a total of 18.

RESULTS

Sixty-one residents (20 first year, 23 second year, and 18 third year) completed readings for 10 EKGs and were evaluated for their ability to identify 18 EKG findings. The median score out of 18 possible points for all first-, second-, and third-year residents was 12, 12, and 11.5, respectively. Twenty-one percent of residents did not correctly identify a tracing of an acute myocardial infarction. Data analysis showed no statistically significant difference among the three groups of residents.

CONCLUSIONS

We evaluated the accuracy of EKG reading skills of family practice residents at each year of training. This study suggests that EKG reading skills do not improve during residency, and further study of curricular change to improve these skills should be considered.