Self-reported Sleep Quality Before and After Atrial Fibrillation Ablation.

BACKGROUND: Poor sleep quality is highly prevalent in atrial fibrillation (AF) with reported links between worse sleep quality and higher AF severity. Little research has examined whether sleep quality changes after AF ablation despite it being a routinely performed procedure. OBJECTIVE: The aim of this study was to evaluate self-reported sleep quality before and after AF ablation and to examine whether sleep quality differs by AF severity or sex. METHODS: This longitudinal pilot study assessed sleep using the Pittsburgh Sleep Quality Index at preablation and at 1, 3, and 6 months after ablation. Atrial fibrillation disease severity was assessed by the Canadian Cardiology Society Severity of AF scale. Outcomes were analyzed using descriptive statistics, Spearman ρ correlations, and multilevel longitudinal models. RESULTS: The sample (N = 20) was 55% female with a mean age of 65 (±7) years. Poor sleep quality (mean Pittsburgh Sleep Quality Index scores > 5) was evident at all time points. Improvement was noted at 3 months (moderate effect size d = 0.49); and negligible further improvement, from 3 to 6 months post ablation. Improvement was seen primarily in male subjects (large effect size d = 0.89 at 3 months), with smaller improvements for female subjects. Although Severity of AF scale scores were not correlated with sleep quality, Severity of AF scale severity scores did significantly improve over time. CONCLUSIONS: Patients with AF have poor sleep quality that improves for the first 3 months after AF ablation, with men showing more improvement than women. A more accurate understanding of the sleep challenges after AF ablation could lead to development of more realistic patient education and improve patient self-management.

Trajectories of Recovery after Atrial Fibrillation Ablation.

Ablation procedures are common for patients with atrial fibrillation (AF), yet evidence is limited about patient perceptions of their recovery following ablation. We sought to expand understanding of this recovery process. Twenty participants undergoing their first AF ablation completed semi-structured interviews prior to ablation (baseline) and at one, three, and six months post AF ablation. Pre-procedure education is modeled after education used for other ablation procedures, preparing patients to expect a single recovery trajectory. We identified two recovery trajectories that varied in speed of symptom resolution: sustained improvement and pseudo improvement. Recovery was slower than expected in both trajectories. Moreover, returning to desired activity levels consistently lagged behind other symptom resolution by approximately two months. A more accurate understanding of what patients experience post-ablation, as illustrated in these findings, serves as a beginning step to alter patient education prior to AF ablation to better prepare individuals for the recovery process.

Impact of diaper change frequency on preterm infants' vital sign stability and skin health: A RCT.

BACKGROUND: Bundling nurse caregiving interventions are promoted to minimize infant stress. PURPOSE: To evaluate impact of bundled nursing care and diaper change frequency on vital sign stability and skin health of preterm infants born ≤32 weeks gestation. METHOD: Stable preterm infants on a 3-hour feeding schedule were randomly assigned to 3- vs. 6-hour diaper changes. Diapers were changed prior to 6 h if stool was present. Direct observation of bundled care events (BCE) identify caregiving activities during each BCE. Skin pH, transepidermal water loss (TEWL), and neonatal skin condition scores (NSCS) were obtained. Vital sign data (HR, RR, O2 saturation) was downloaded from bedside monitors. RESULTS: Forty-six infants contributed to 605 BCEs. BCEs lasted on average 28 min and included nine different activities (e.g., vital signs, feeding). Significant increases in heart rate during BCEs occurred in approximately half of the observations. Among observations with a diaper change increases in heart rate during diapering occurred in over 74% of observations Infants who were awake at the beginning of BCEs had 48% lower odds of having a change in heart rate than infants who were sleeping (p = .02). There were no group differences (3- vs. 6-hour diaper change) in skin health outcomes (TEWL, pH, NSCS). CONCLUSION: Reducing diaper change frequency without stool present should be considered to minimize caregiving stress in preterm infants. Additional research should evaluate the intrusiveness and clusters of activities that significantly impact physiologic stability to better individualize the timing of routine yet intrusive activities. Clinicaltrials.gov registry # NCT03370757.

Perceptions of Using Multiple Mobile Health Devices to Support Self-Management Among Adults With Type 2 Diabetes: A Qualitative Descriptive Study.

PURPOSE: This study identified facilitators and barriers pertaining to the use of multiple mobile health (mHealth) devices (Fitbit Alta® fitness tracker, iHealth® glucometer, BodyTrace® scale) that support self-management behaviors in individuals with type 2 diabetes mellitus (T2DM). DESIGN: This qualitative descriptive study presents study participants' perceptions of using multiple mobile devices to support T2DM self-management. Additionally, this study assessed whether participants found visualizations, generated from each participant's health data as obtained from the three separate devices, useful and easy to interpret. METHODS: Semistructured interviews were completed with a convenience sample of participants (n = 20) from a larger randomized control trial on T2DM self-management. Interview questions focused on participants' use of three devices to support T2DM self-management. A study team member created data visualizations of each interview participant's health data using RStudio. RESULTS: We identified two themes from descriptions of study participants: feasibility and usability. We identified one theme about visualizations created from data obtained from the mobile devices. Despite some challenges, individuals with T2DM found it feasible to use multiple mobile devices to facilitate engagement in T2DM self-management behaviors. DISCUSSION: As mHealth devices become increasingly popular for diabetes self-management and are integrated into care delivery, we must address issues associated with the use of multiple mHealth devices and the use of aggregate data to support T2DM self-management. CLINICAL RELEVANCE: Real-time patient-generated health data that are easily accessible and readily available can assist T2DM self-management and catalyze conversations, leading to better self-management. Our findings lay an important groundwork for understanding how individuals with T2DM can use multiple mHealth devices simultaneously to support self-management.

The Line Snuggler: A Central Line Bundling Innovation Evaluated in a High-Risk Pediatric Population.

Central line associated blood stream infections and complications in children require prevention strategies related to both traditional childhood activities as well as adverse events in the intensive care unit or bone marrow transplant unit. This study evaluated a nurse-invented product, the Line Snuggler, designed to protect intravenous tubing and central lines from contamination or entanglement. Patients (n = 30) were enrolled following the chemotherapy phase of transplant. Using a pre-post intervention design, each subject served as their own control for the control phase of the study (Days 1-3 without a Line Snuggler) and the intervention phase (Days 4-6 with a Line Snuggler), with bacterial levels of product and sheets tested on Days 1, 3, 4, and 6. At study conclusion, staff (n = 44) and parents/guardians (n = 25) completed an online survey assessing satisfaction with the product, and perceived utilization and safety. Using t tests, the Line Snuggler bacterial levels showed no difference in growth in adenosine triphosphate levels compared with the same patient's sheets, thereby supporting no increased risk of bacterial growth. Both staff and parents/guardians reported high satisfaction with their use of the Line Snuggler and noted the benefit of its protecting and bundling intravenous lines into a single organizer. This innovative product designed by nurses was evaluated as a means to provide exceptional, high-quality care to achieve the best outcomes while eliminating hospital-acquired complications (https://www.linesnugglers.com/).

Variations in follow-up after atrial fibrillation ablation.

BACKGROUND: A multidisciplinary patient-centered approach using evidence-based care is recommended in recent atrial fibrillation (AF) guidelines to achieve quality patient outcomes. Professional society guidelines are conflicting and vague in recommendations on timing of follow-up after AF ablation. PURPOSE: The aim of this secondary analysis was to examine whether the type and timing of follow-up care after AF ablation affected patient outcomes. METHODS: A 2-year, longitudinal, pilot study to explore patient experiences during the first 6 months following an AF ablation was conducted. Patients completed surveys and phone interviews before ablation, and at 1, 3, and 6 months after the ablation. Pearson correlations and repeated-measures analysis of variance were used for comparison of outcomes over time. RESULTS: The sample (N = 20) had a mean age of 65 (± 7) years, was 55% female, 35% paroxysmal AF, and 65% persistent AF pre-ablation. Timing of follow-up visits following AF ablation varied widely. Patients reported many concerns and difficulties reflecting the lack of knowledge and unrealistic expectations of post-ablation recovery. Better outcomes were noted in those who were seen at 1-week post-ablation by a nurse practitioner (NP) compared with those who were not seen until 1 or 3 months after ablation by a physician. IMPLICATIONS FOR PRACTICE: Atrial fibrillation ablation is routinely performed in the United States, yet there seems to be a lack of standardization concerning the type and timing of follow-up care after AF ablation. These preliminary findings support a standardized approach to include an NP visit at one week after AF ablation to achieve quality AF patient outcomes.

Diabetes Mobile Care: Aggregating and Visualizing Data from Multiple Mobile Health Technologies.

As the appeal and use of mobile health (mHealth) technologies continues to grow, where does mHealth fit into clinical practice? This article explores the approach and obstacles encountered when integrating mHealth data into existing clinical frameworks and explores data visualization design tradeoffs. Specifically, this paper discusses the successes and challenges that arose when using commercial mHealth technologies, synthesizing multiple mHealth device data, and tailoring visualizations based on iterative feedback from type II diabetes mellitus patients. This research aims to influence the development of patient portals within electronic health records by understanding and addressing the challenges involved in acquiring, interpreting, and displaying this data set. In particular, we need to ensure that the presentation of these data is accessible and understandable by diverse populations.

Enhancing Diabetes Self-Management Through Collection and Visualization of Data From Multiple Mobile Health Technologies: Protocol for a Development and Feasibility Trial.

BACKGROUND: Self-management is integral for control of type 2 diabetes mellitus (T2DM). Patient self-management is improved when they receive real-time information on their health status and behaviors and ongoing facilitation from health professionals. However, timely information for these behaviors is notably absent in the health care system. Providing real-time data could help improve patient understanding of the dynamics of their illness and assist clinicians in developing targeted approaches to improve health outcomes and in delivering personalized care when and where it is most needed. Mobile technologies (eg, wearables, apps, and connected scales) have the potential to make these patient-provider interactions a reality. What strategies might best help patients overcome self-management challenges using self-generated diabetes-related data? How might clinicians effectively guide patient self-management with the advantage of real-time data? OBJECTIVE: This study aims to describe the protocol for an ongoing study (June 2016-May 2019) that examines trajectories of symptoms, health behaviors, and associated challenges among individuals with T2DM utilizing multiple mobile technologies, including a wireless body scale, wireless glucometer, and a wrist-worn accelerometer over a 6-month period. METHODS: We are conducting an explanatory sequential mixed methods study of 60 patients with T2DM recruited from a primary care clinic. Patients were asked to track relevant clinical data for 6 months using a wireless body scale, wireless glucometer, a wrist-worn accelerometer, and a medication adherence text message (short message service, SMS) survey. Data generated from the devices were then analyzed and visualized. A subset of patients is currently being interviewed to discuss their challenges and successes in diabetes self-management, and they are being shown visualizations of their own data. Following the data collection period, we will conduct interviews with study clinicians to explore ways in which they might collaborate with patients. RESULTS: This study has received regulatory approval. Patient enrollment ongoing with a sample size of 60 patients is complete, and up to 20 clinicians will be enrolled. At the patient level, data collection is complete, but data analysis is pending. At the clinician level, data collection is currently ongoing. CONCLUSIONS: This study seeks to expand the use of mobile technologies to generate real-time data to enhance self-management strategies. It also seeks to obtain both patient and provider perspectives on using real-time data to develop algorithms for software that will facilitate real-time self-management strategies. We expect that the findings of this study will offer important insight into how to support patients and providers using real-time data to manage a complex chronic illness. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/13517.

Symptom challenges after atrial fibrillation ablation.

BACKGROUND: It is unclear what symptom challenges occur during the recovery phase after atrial fibrillation (AF) ablation. OBJECTIVES: This longitudinal pilot study explored the patient perspective of the first six months following an AF ablation. METHODS: Telephone interviews and questionnaires were used with 20 patients at baseline, at 1, 3, and 6 months after AF ablation. Telephone interview data were analyzed using content analysis. Longitudinal outcomes were analyzed using repeated measures analysis of variance (ANOVA). RESULTS: Mean age was 65 ± 7 years and the sample was 55% female. The severity and duration of fatigue was the most concerning symptom. Patient expectations differed from providers' expectations. Recovery was a much slower process than patients expected. CONCLUSIONS: Patients struggled to manage symptoms after AF ablation. A more accurate understanding of the symptom challenges following AF ablation could lead to development of more realistic education to improve patient self-management.

Experimental Comparison of Efficacy for Three Handfeeding Techniques in Dementia.

BACKGROUND: Nursing home (NH) residents who require assistance during mealtimes are at risk for malnutrition. Supportive handfeeding is recommended, yet there is limited evidence supporting use of a specific handfeeding technique to increase meal intake. OBJECTIVES: To compare efficacy of three handfeeding techniques for assisting NH residents with dementia with meals: Direct Hand (DH), Over Hand (OH), and Under Hand (UH). DESIGN: A prospective pilot study using a within-subjects experimental Latin square design with randomization to one of three handfeeding technique sequences. SETTING AND PARTICIPANTS: 30 residents living with advanced dementia in 11 U.S. NHs. MEASUREMENTS: Time required for assistance; meal intake (% eaten); and feeding behaviors, measured by the Edinburgh Feeding Evaluation in Dementia (EdFED) scale. INTERVENTION: Research Assistants provided feeding assistance for 18 video-recorded meals per resident (N = 540 meals). Residents were assisted with one designated technique for 6 consecutive meals, changing technique every 2 days. RESULTS: Mean time spent providing meal assistance did not differ significantly between techniques. Mean meal intake was greater for DH (67 ± 15.2%) and UH (65 ± 15.0%) with both significantly greater than OH (60 ± 15.1%). Feeding behaviors were more frequent with OH (8.3 ± 1.8%), relative to DH (8.0 ± 1.8) and UH (7.7 ± 1.8). CONCLUSION: All three techniques are time neutral. UH and DH are viable options to increase meal intake among NH residents with advanced dementia and reduce feeding behaviors relative to OH feeding.

Effect of environmental changes on noise in the NICU.

PURPOSE: To evaluate die effect of changes in die NICU environment on sound levels. DESIGN: A prospective quasi-experimental design evaluated sound levels in a 43-bed NICU. Decibel levels were monitored utilizing a data-logging dosimeter for 24 hours weekly over 12 months. Sound levels were also measured inside four different incubator models. SAMPLE: Forty-four 24-hour decibel recordings were obtained in one of eight randomly selected four-bed pods. In addition, a single 1-hour recording was obtained in four different models of vacant incubators. MAIN OUTCOME VARIABLE: Ambient sound levels. RESULTS: Decibel levels were analyzed to identify changes in noise levels following alterations in the NICU environment. Installation of motion-sensing motorized paper towel holders significantly increased levels at beds closest to the towel dispensers, as did the trial of a new communication system. Decibel levels in four different incubators revealed varying noise levels. This study suggests that all environmental changes must be monitored to ensure that they reduce rather than increase noise levels.

Effect of environmental changes on noise in the NICU.

PURPOSE: To evaluate the effect of changes in the NICU environment on sound levels. DESIGN: A prospective quasi-experimental design evaluated sound levels in a 43-bed NICU. Decibel levels were monitored utilizing a data-logging dosimeter for 24 hours weekly over 12 months. Sound levels were also measured inside four different incubator models. SAMPLE: Forty-four 24-hour decibel recordings were obtained in one of eight randomly selected four-bed pods. In addition, a single 1-hour recording was obtained in four different models of vacant incubators. MAIN OUTCOME VARIABLE: Ambient sound levels. RESULTS: Decibel levels were analyzed to identify changes in noise levels following alterations in the NICU environment. Installation of motion-sensing motorized paper towel holders significantly increased levels at beds closest to the towel dispensers, as did thetrial of a new communication system. Decibel levels in four different incubators revealed varying noise levels. This study suggests that all environmental changes must be monitored to ensure that they reduce rather than increase noise levels.