Examining the surgical stress effects (SSE) framework in practice: A qualitative assessment of perceived sources and consequences of intraoperative stress in surgical teams

BACKGROUND

Surgical adverse events persist despite extensive improvement efforts. Emotional and behavioral responses to stressors may influence intraoperative performance, as illustrated in the surgical stress effects (SSE) framework. However, the SSE has not been assessed using "real world" data.

METHODS

We conducted semi-structured interviews with all surgical team roles at one midwestern VA hospital and elicited narratives involving intraoperative stress. Two coders inductively identified codes from transcripts. The team identified themes among codes and assessed concordance with the SSE framework.

RESULTS

Throughout 28 interviews, we found surgical stress was ubiquitous, associated with a variety of factors, including adverse events. Stressors often elicited frustration, anger, fear, and anxiety; behavioral reactions to negative emotions frequently were perceived to degrade individual/team performance and compromise outcomes. Narratives were consistent with the SSE framework and support adding a process outcome (efficiency) and illustrating how adverse events can feedback and acutely increase job demands and stress.

CONCLUSION

This qualitative study describes narratives of intraoperative stress, finding they are consistent with the SSE while also allowing minor improvements to the current framework.

Engagement With a Remote Symptom-Tracking Platform Among Participants With Major Depressive Disorder: Randomized Controlled Trial

BACKGROUND

Multiparametric remote measurement technologies (RMTs), which comprise smartphones and wearable devices, have the potential to revolutionize understanding of the etiology and trajectory of major depressive disorder (MDD). Engagement with RMTs in MDD research is of the utmost importance for the validity of predictive analytical methods and long-term use and can be conceptualized as both objective engagement (data availability) and subjective engagement (system usability and experiential factors). Positioning the design of user interfaces within the theoretical framework of the Behavior Change Wheel can help maximize effectiveness. In-app components containing information from credible sources, visual feedback, and access to support provide an opportunity to promote engagement with RMTs while minimizing team resources. Randomized controlled trials are the gold standard in quantifying the effects of in-app components on engagement with RMTs in patients with MDD.

OBJECTIVE

This study aims to evaluate whether a multiparametric RMT system with theoretically informed notifications, visual progress tracking, and access to research team contact details could promote engagement with remote symptom tracking over and above the system as usual. We hypothesized that participants using the adapted app (intervention group) would have higher engagement in symptom monitoring, as measured by objective and subjective engagement.

METHODS

A 2-arm, parallel-group randomized controlled trial (participant-blinded) with 1:1 randomization was conducted with 100 participants with MDD over 12 weeks. Participants in both arms used the RADAR-base system, comprising a smartphone app for weekly symptom assessments and a wearable Fitbit device for continuous passive tracking. Participants in the intervention arm (n=50, 50%) also had access to additional in-app components. The primary outcome was objective engagement, measured as the percentage of weekly questionnaires completed during follow-up. The secondary outcomes measured subjective engagement (system engagement, system usability, and emotional self-awareness).

RESULTS

The levels of completion of the Patient Health Questionnaire-8 (PHQ-8) were similar between the control (67/97, 69%) and intervention (66/97, 68%) arms (P value for the difference between the arms=.83, 95% CI -9.32 to 11.65). The intervention group participants reported slightly higher user engagement (1.93, 95% CI -1.91 to 5.78), emotional self-awareness (1.13, 95% CI -2.93 to 5.19), and system usability (2.29, 95% CI -5.93 to 10.52) scores than the control group participants at follow-up; however, all CIs were wide and included 0. Process evaluation suggested that participants saw the in-app components as helpful in increasing task completion.

CONCLUSIONS

The adapted system did not increase objective or subjective engagement in remote symptom tracking in our research cohort. This study provides an important foundation for understanding engagement with RMTs for research and the methodologies by which this work can be replicated in both community and clinical settings.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04972474; https://clinicaltrials.gov/ct2/show/NCT04972474.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/32653.

Multilingual markers of depression in remotely collected speech samples: A preliminary analysis

BACKGROUND

Speech contains neuromuscular, physiological and cognitive components, and so is a potential biomarker of mental disorders. Previous studies indicate that speaking rate and pausing are associated with major depressive disorder (MDD). However, results are inconclusive as many studies are small and underpowered and do not include clinical samples. These studies have also been unilingual and use speech collected in controlled settings. If speech markers are to help understand the onset and progress of MDD, we need to uncover markers that are robust to language and establish the strength of associations in real-world data.

METHODS

We collected speech data in 585 participants with a history of MDD in the United Kingdom, Spain, and Netherlands as part of the RADAR-MDD study. Participants recorded their speech via smartphones every two weeks for 18 months. Linear mixed models were used to estimate the strength of specific markers of depression from a set of 28 speech features.

RESULTS

Increased depressive symptoms were associated with speech rate, articulation rate and intensity of speech elicited from a scripted task. These features had consistently stronger effect sizes than pauses.

LIMITATIONS

Our findings are derived at the cohort level so may have limited impact on identifying intra-individual speech changes associated with changes in symptom severity. The analysis of features averaged over the entire recording may have underestimated the importance of some features.

CONCLUSIONS

Participants with more severe depressive symptoms spoke more slowly and quietly. Our findings are from a real-world, multilingual, clinical dataset so represent a step-change in the usefulness of speech as a digital phenotype of MDD.

Challenges in Using mHealth Data From Smartphones and Wearable Devices to Predict Depression Symptom Severity: Retrospective Analysis

BACKGROUND

Major depressive disorder (MDD) affects millions of people worldwide, but timely treatment is not often received owing in part to inaccurate subjective recall and variability in the symptom course. Objective and frequent MDD monitoring can improve subjective recall and help to guide treatment selection. Attempts have been made, with varying degrees of success, to explore the relationship between the measures of depression and passive digital phenotypes (features) extracted from smartphones and wearables devices to remotely and continuously monitor changes in symptomatology. However, a number of challenges exist for the analysis of these data. These include maintaining participant engagement over extended time periods and therefore understanding what constitutes an acceptable threshold of missing data; distinguishing between the cross-sectional and longitudinal relationships for different features to determine their utility in tracking within-individual longitudinal variation or screening individuals at high risk; and understanding the heterogeneity with which depression manifests itself in behavioral patterns quantified by the passive features.

OBJECTIVE

We aimed to address these 3 challenges to inform future work in stratified analyses.

METHODS

Using smartphone and wearable data collected from 479 participants with MDD, we extracted 21 features capturing mobility, sleep, and smartphone use. We investigated the impact of the number of days of available data on feature quality using the intraclass correlation coefficient and Bland-Altman analysis. We then examined the nature of the correlation between the 8-item Patient Health Questionnaire (PHQ-8) depression scale (measured every 14 days) and the features using the individual-mean correlation, repeated measures correlation, and linear mixed effects model. Furthermore, we stratified the participants based on their behavioral difference, quantified by the features, between periods of high (depression) and low (no depression) PHQ-8 scores using the Gaussian mixture model.

RESULTS

We demonstrated that at least 8 (range 2-12) days were needed for reliable calculation of most of the features in the 14-day time window. We observed that features such as sleep onset time correlated better with PHQ-8 scores cross-sectionally than longitudinally, whereas features such as wakefulness after sleep onset correlated well with PHQ-8 longitudinally but worse cross-sectionally. Finally, we found that participants could be separated into 3 distinct clusters according to their behavioral difference between periods of depression and periods of no depression.

CONCLUSIONS

This work contributes to our understanding of how these mobile health-derived features are associated with depression symptom severity to inform future work in stratified analyses.

The usability of daytime and night-time heart rate dynamics as digital biomarkers of depression severity

BACKGROUND

Alterations in heart rate (HR) may provide new information about physiological signatures of depression severity. This 2-year study in individuals with a history of recurrent major depressive disorder (MDD) explored the intra-individual variations in HR parameters and their relationship with depression severity.

METHODS

Data from 510 participants (Number of observations of the HR parameters = 6666) were collected from three centres in the Netherlands, Spain, and the UK, as a part of the remote assessment of disease and relapse-MDD study. We analysed the relationship between depression severity, assessed every 2 weeks with the Patient Health Questionnaire-8, with HR parameters in the week before the assessment, such as HR features during all day, resting periods during the day and at night, and activity periods during the day evaluated with a wrist-worn Fitbit device. Linear mixed models were used with random intercepts for participants and countries. Covariates included in the models were age, sex, BMI, smoking and alcohol consumption, antidepressant use and co-morbidities with other medical health conditions.

RESULTS

Decreases in HR variation during resting periods during the day were related with an increased severity of depression both in univariate and multivariate analyses. Mean HR during resting at night was higher in participants with more severe depressive symptoms.

CONCLUSIONS

Our findings demonstrate that alterations in resting HR during all day and night are associated with depression severity. These findings may provide an early warning of worsening depression symptoms which could allow clinicians to take responsive treatment measures promptly.

Barriers, opportunities, and potential costs of expanding HIV support services

Experiencing housing instability, food insecurity, and financial stress can negatively impact retention in care and treatment adherence for people living with HIV. Expanding services that support socioeconomic needs could help improve HIV outcomes. Our objective was to investigate barriers, opportunities, and costs of expanding socioeconomic support programs. Semi-structured interviews were conducted with organizations serving U.S. Ryan White HIV/AIDS Program clients. Costs were estimated from interviews, organization documents, and city-specific wages. Organizations reported complex patient, organization, program, and system challenges as well as several opportunities for expansion. The average one-year per-person cost for engaging new clients was $196 for transportation, $612 for financial aid, $650 for food aid, and $2498 for short-term housing (2020 USD). Understanding potential expansion costs is important for funders and local stakeholders. This study provides a sense of magnitude for costs to scale-up programs to better meet socioeconomic needs of low-income patients living with HIV.

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study

Recent growth in digital technologies has enabled the recruitment and monitoring of large and diverse populations in remote health studies. However, the generalizability of inference drawn from remotely collected health data could be severely impacted by uneven participant engagement and attrition over the course of the study. We report findings on long-term participant retention and engagement patterns in a large multinational observational digital study for depression containing active (surveys) and passive sensor data collected via Android smartphones, and Fitbit devices from 614 participants for up to 2 years. Majority of participants (67.6%) continued to remain engaged in the study after 43 weeks. Unsupervised clustering of participants' study apps and Fitbit usage data showed 3 distinct engagement subgroups for each data stream. We found: (i) the least engaged group had the highest depression severity (4 PHQ8 points higher) across all data streams; (ii) the least engaged group (completed 4 bi-weekly surveys) took significantly longer to respond to survey notifications (3.8 h more) and were 5 years younger compared to the most engaged group (completed 20 bi-weekly surveys); and (iii) a considerable proportion (44.6%) of the participants who stopped completing surveys after 8 weeks continued to share passive Fitbit data for significantly longer (average 42 weeks). Additionally, multivariate survival models showed participants' age, ownership and brand of smartphones, and recruitment sites to be associated with retention in the study. Together these findings could inform the design of future digital health studies to enable equitable and balanced data collection from diverse populations.

Biopsychosocial Response to the COVID-19 Lockdown in People with Major Depressive Disorder and Multiple Sclerosis

BACKGROUND

Changes in lifestyle, finances and work status during COVID-19 lockdowns may have led to biopsychosocial changes in people with pre-existing vulnerabilities such as Major Depressive Disorders (MDDs) and Multiple Sclerosis (MS).

METHODS

Data were collected as a part of the RADAR-CNS (Remote Assessment of Disease and Relapse-Central Nervous System) program. We analyzed the following data from long-term participants in a decentralized multinational study: symptoms of depression, heart rate (HR) during the day and night; social activity; sedentary state, steps and physical activity of varying intensity. Linear mixed-effects regression analyses with repeated measures were fitted to assess the changes among three time periods (pre, during and post-lockdown) across the groups, adjusting for depression severity before the pandemic and gender.

RESULTS

Participants with MDDs (N = 255) and MS (N = 214) were included in the analyses. Overall, depressive symptoms remained stable across the three periods in both groups. A lower mean HR and HR variation were observed between pre and during lockdown during the day for MDDs and during the night for MS. HR variation during rest periods also decreased between pre- and post-lockdown in both clinical conditions. We observed a reduction in physical activity for MDDs and MS upon the introduction of lockdowns. The group with MDDs exhibited a net increase in social interaction via social network apps over the three periods.

CONCLUSIONS

Behavioral responses to the lockdown measured by social activity, physical activity and HR may reflect changes in stress in people with MDDs and MS. Remote technology monitoring might promptly activate an early warning of physical and social alterations in these stressful situations. Future studies must explore how stress does or does not impact depression severity.

Associations Between Depression Symptom Severity and Daily-Life Gait Characteristics Derived From Long-Term Acceleration Signals in Real-World Settings: Retrospective Analysis

BACKGROUND

Gait is an essential manifestation of depression. However, the gait characteristics of daily walking and their relationships with depression have yet to be fully explored.

OBJECTIVE

The aim of this study was to explore associations between depression symptom severity and daily-life gait characteristics derived from acceleration signals in real-world settings.

METHODS

We used two ambulatory data sets (N=71 and N=215) with acceleration signals collected by wearable devices and mobile phones, respectively. We extracted 12 daily-life gait features to describe the distribution and variance of gait cadence and force over a long-term period. Spearman coefficients and linear mixed-effects models were used to explore the associations between daily-life gait features and depression symptom severity measured by the 15-item Geriatric Depression Scale (GDS-15) and 8-item Patient Health Questionnaire (PHQ-8) self-reported questionnaires. The likelihood-ratio (LR) test was used to test whether daily-life gait features could provide additional information relative to the laboratory gait features.

RESULTS

Higher depression symptom severity was significantly associated with lower gait cadence of high-performance walking (segments with faster walking speed) over a long-term period in both data sets. The linear regression model with long-term daily-life gait features (R²=0.30) fitted depression scores significantly better (LR test P=.001) than the model with only laboratory gait features (R²=0.06).

CONCLUSIONS

This study indicated that the significant links between daily-life walking characteristics and depression symptom severity could be captured by both wearable devices and mobile phones. The daily-life gait patterns could provide additional information for predicting depression symptom severity relative to laboratory walking. These findings may contribute to developing clinical tools to remotely monitor mental health in real-world settings.

Clinical Targets and Attitudes Toward Implementing Digital Health Tools for Remote Measurement in Treatment for Depression: Focus Groups With Patients and Clinicians

BACKGROUND

Remote measurement technologies, such as smartphones and wearable devices, can improve treatment outcomes for depression through enhanced illness characterization and monitoring. However, little is known about digital outcomes that are clinically meaningful to patients and clinicians. Moreover, if these technologies are to be successfully implemented within treatment, stakeholders' views on the barriers to and facilitators of their implementation in treatment must be considered.

OBJECTIVE

This study aims to identify clinically meaningful targets for digital health research in depression and explore attitudes toward their implementation in psychological services.

METHODS

A grounded theory approach was used on qualitative data from 3 focus groups of patients with a current diagnosis of depression and clinicians with >6 months of experience with delivering psychotherapy (N=22).

RESULTS

Emerging themes on clinical targets fell into the following two main categories: promoters and markers of change. The former are behaviors that participants engage in to promote mental health, and the latter signal a change in mood. These themes were further subdivided into external changes (changes in behavior) or internal changes (changes in thoughts or feelings) and mapped with potential digital sensors. The following six implementation acceptability themes emerged: technology-related factors, information and data management, emotional support, cognitive support, increased self-awareness, and clinical utility.

CONCLUSIONS

The promoters versus markers of change differentiation have implications for a causal model of digital phenotyping in depression, which this paper presents. Internal versus external subdivisions are helpful in determining which factors are more susceptible to being measured by using active versus passive methods. The implications for implementation within psychotherapy are discussed with regard to treatment effectiveness, service provision, and patient and clinician experience.

Predictors of engagement with remote sensing technologies for symptom measurement in Major Depressive Disorder

BACKGROUND

Remote sensing for the measurement and management of long-term conditions such as Major Depressive Disorder (MDD) is becoming more prevalent. User-engagement is essential to yield any benefits. We tested three hypotheses examining associations between clinical characteristics, perceptions of remote sensing, and objective user engagement metrics.

METHODS

The Remote Assessment of Disease and Relapse - Major Depressive Disorder (RADAR-MDD) study is a multicentre longitudinal observational cohort study in people with recurrent MDD. Participants wore a FitBit and completed app-based assessments every two weeks for a median of 18 months. Multivariable random effects regression models pooling data across timepoints were used to examine associations between variables.

RESULTS

A total of 547 participants (87.8% of the total sample) were included in the current analysis. Higher levels of anxiety were associated with lower levels of perceived technology ease of use; increased functional disability was associated with small differences in perceptions of technology usefulness and usability. Participants who reported higher system ease of use, usefulness, and acceptability subsequently completed more app-based questionnaires and tended to wear their FitBit activity tracker for longer. All effect sizes were small and unlikely to be of practical significance.

LIMITATIONS

Symptoms of depression, anxiety, functional disability, and perceptions of system usability are measured at the same time. These therefore represent cross-sectional associations rather than predictions of future perceptions.

CONCLUSIONS

These findings suggest that perceived usability and actual use of remote measurement technologies in people with MDD are robust across differences in severity of depression, anxiety, and functional impairment.

Barriers and facilitators to implementing pharmacist-provided comprehensive medication management in primary care transformation

DISCLAIMER

In an effort to expedite the publication of articles related to the COVID-19 pandemic, AJHP is posting these manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

PURPOSE

How to effectively integrate pharmacists into team-based models of care to maximize the benefit they bring to patients and care teams, especially during times of primary care transformation (PCT), remains unknown. The objective of this study was to identify barriers and facilitators when integrating pharmacist-provided comprehensive medication management (CMM) services into a health system's team-based PCT using the Consolidated Framework for Implementation Research (CFIR).

METHODS

Semistructured qualitative interviews were carried out with 22 care team members regarding their perceptions of the implementation of CMM in the PCT. Transcripts were coded to identify CMM implementation barriers and facilitators, and resulting codes were mapped to corresponding CFIR domains and constructs.

RESULTS

Fifteen codes emerged that were labeled as either a barrier or a facilitator to implementing CMM in the PCT. Facilitators were the perception of CMM as an invaluable resource, precharting, tailored appointment lengths, insurance coverage, increased pharmacy presence, enhanced team-based care, location of CMM, and identification of CMM advocates. Barriers included limited clinic leadership involvement, a need for additional resources, CMM pharmacists not always feeling part of the core team, understanding of and training around CMM's role in the PCT, changing mindsets to utilize resources such as CMM more frequently, underutilization of CMM, and CMM scheduling.

CONCLUSION

Clinical pharmacists providing CMM represent a valuable interdisciplinary care team member who can help improve healthcare quality and access to primary care. Identifying and addressing implementation barriers and facilitators early during PCT rollout is critical to the success of team-based services such as CMM and becoming a learning health system.

Longitudinal Relationships Between Depressive Symptom Severity and Phone-Measured Mobility: Dynamic Structural Equation Modeling Study

BACKGROUND

The mobility of an individual measured by phone-collected location data has been found to be associated with depression; however, the longitudinal relationships (the temporal direction of relationships) between depressive symptom severity and phone-measured mobility have yet to be fully explored.

OBJECTIVE

We aimed to explore the relationships and the direction of the relationships between depressive symptom severity and phone-measured mobility over time.

METHODS

Data used in this paper came from a major EU program, called the Remote Assessment of Disease and Relapse-Major Depressive Disorder, which was conducted in 3 European countries. Depressive symptom severity was measured with the 8-item Patient Health Questionnaire (PHQ-8) through mobile phones every 2 weeks. Participants' location data were recorded by GPS and network sensors in mobile phones every 10 minutes, and 11 mobility features were extracted from location data for the 2 weeks prior to the PHQ-8 assessment. Dynamic structural equation modeling was used to explore the longitudinal relationships between depressive symptom severity and phone-measured mobility.

RESULTS

This study included 2341 PHQ-8 records and corresponding phone-collected location data from 290 participants (age: median 50.0 IQR 34.0, 59.0) years; of whom 215 (74.1%) were female, and 149 (51.4%) were employed. Significant negative correlations were found between depressive symptom severity and phone-measured mobility, and these correlations were more significant at the within-individual level than the between-individual level. For the direction of relationships over time, Homestay (time at home) (φ=0.09, P=.01), Location Entropy (time distribution on different locations) (φ=-0.04, P=.02), and Residential Location Count (reflecting traveling) (φ=0.05, P=.02) were significantly correlated with the subsequent changes in the PHQ-8 score, while changes in the PHQ-8 score significantly affected (φ=-0.07, P<.001) the subsequent periodicity of mobility.

CONCLUSIONS

Several phone-derived mobility features have the potential to predict future depression, which may provide support for future clinical applications, relapse prevention, and remote mental health monitoring practices in real-world settings.

Remote Assessment of Disease and Relapse in Major Depressive Disorder (RADAR-MDD): recruitment, retention, and data availability in a longitudinal remote measurement study

BACKGROUND

Major Depressive Disorder (MDD) is prevalent, often chronic, and requires ongoing monitoring of symptoms to track response to treatment and identify early indicators of relapse. Remote Measurement Technologies (RMT) provide an opportunity to transform the measurement and management of MDD, via data collected from inbuilt smartphone sensors and wearable devices alongside app-based questionnaires and tasks. A key question for the field is the extent to which participants can adhere to research protocols and the completeness of data collected. We aimed to describe drop out and data completeness in a naturalistic multimodal longitudinal RMT study, in people with a history of recurrent MDD. We further aimed to determine whether those experiencing a depressive relapse at baseline contributed less complete data.

METHODS

Remote Assessment of Disease and Relapse - Major Depressive Disorder (RADAR-MDD) is a multi-centre, prospective observational cohort study conducted as part of the Remote Assessment of Disease and Relapse - Central Nervous System (RADAR-CNS) program. People with a history of MDD were provided with a wrist-worn wearable device, and smartphone apps designed to: a) collect data from smartphone sensors; and b) deliver questionnaires, speech tasks, and cognitive assessments. Participants were followed-up for a minimum of 11 months and maximum of 24 months.

RESULTS

Individuals with a history of MDD (n = 623) were enrolled in the study,. We report 80% completion rates for primary outcome assessments across all follow-up timepoints. 79.8% of people participated for the maximum amount of time available and 20.2% withdrew prematurely. We found no evidence of an association between the severity of depression symptoms at baseline and the availability of data. In total, 110 participants had > 50% data available across all data types.

CONCLUSIONS

RADAR-MDD is the largest multimodal RMT study in the field of mental health. Here, we have shown that collecting RMT data from a clinical population is feasible. We found comparable levels of data availability in active and passive forms of data collection, demonstrating that both are feasible in this patient group.

'Trying to fly the plane while we were building it'. Applying a learning health systems approach to evaluate early-stage barriers and facilitators to implementing primary care transformation: a qualitative study

OBJECTIVE

A learning health system (LHS) uses data to generate evidence and answer questions required to continually improve system performance and patient care. Given the complexities of practice transformation, an area where LHS is particularly important is the study of primary care transformation (PCT) as PCT generates several practice-level questions that require study where the findings can be readily implemented. In May 2019, a large integrated health delivery system in Minnesota began implementation of a population management PCT in two of its 40 primary care clinics. In this model of care, patients are grouped into one of five service bundles based on their complexity of care; patient appointment lengths and services provided are then tailored to each service bundle. The objective of this study was to examine the use of a LHS in PCT by utilising the Consolidated Framework for Implementation Research (CFIR) to categorise implementation lessons from the initial two PCT clinics to inform further implementation of the PCT within the health system.

DESIGN

This was a formative evaluation in which semistructured qualitative interviews were carried out. Observational field notes were also taken. Inductive coding of the data was performed and resultant codes were mapped to the CFIR.

SETTING

Two suburban primary care clinics in the Twin Cities, Minnesota.

PARTICIPANTS

Twenty-two care team members from the first two clinics to adopt the PCT.

RESULTS

Seventeen codes emerged to describe care team members' perceived implementation influences. Codes occurred in each of the five CFIR domains (intervention characteristics, outer setting, inner setting, characteristics of individuals and process), with most codes occurring in the 'inner setting' domain.

CONCLUSIONS

Using an LHS approach to determine early-stage implementation influences is key to guiding further PCT implementation, understanding modifications that need to be made and additional research that needs to occur.

Exploring the Effects of In-App Components on Engagement With a Symptom-Tracking Platform Among Participants With Major Depressive Disorder (RADAR-Engage): Protocol for a 2-Armed Randomized Controlled Trial

BACKGROUND

Multi-parametric remote measurement technologies (RMTs) comprise smartphone apps and wearable devices for both active and passive symptom tracking. They hold potential for understanding current depression status and predicting future depression status. However, the promise of using RMTs for relapse prediction is heavily dependent on user engagement, which is defined as both a behavioral and experiential construct. A better understanding of how to promote engagement in RMT research through various in-app components will aid in providing scalable solutions for future remote research, higher quality results, and applications for implementation in clinical practice.

OBJECTIVE

The aim of this study is to provide the rationale and protocol for a 2-armed randomized controlled trial to investigate the effect of insightful notifications, progress visualization, and researcher contact details on behavioral and experiential engagement with a multi-parametric mobile health data collection platform, Remote Assessment of Disease and Relapse (RADAR)-base.

METHODS

We aim to recruit 140 participants upon completion of their participation in the RADAR Major Depressive Disorder study in the London site. Data will be collected using 3 weekly tasks through an active smartphone app, a passive (background) data collection app, and a Fitbit device. Participants will be randomly allocated at a 1:1 ratio to receive either an adapted version of the active app that incorporates insightful notifications, progress visualization, and access to researcher contact details or the active app as usual. Statistical tests will be used to assess the hypotheses that participants using the adapted app will complete a higher percentage of weekly tasks (behavioral engagement: primary outcome) and score higher on self-awareness measures (experiential engagement).

RESULTS

Recruitment commenced in April 2021. Data collection was completed in September 2021. The results of this study will be communicated via publication in 2022.

CONCLUSIONS

This study aims to understand how best to promote engagement with RMTs in depression research. The findings will help determine the most effective techniques for implementation in both future rounds of the RADAR Major Depressive Disorder study and, in the long term, clinical practice.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04972474; http://clinicaltrials.gov/ct2/show/NCT04972474.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/32653.

Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology

BACKGROUND

The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes a clinical illness Covid-19, has had a major impact on mental health globally. Those diagnosed with major depressive disorder (MDD) may be negatively impacted by the global pandemic due to social isolation, feelings of loneliness or lack of access to care. This study seeks to assess the impact of the 1st lockdown - pre-, during and post - in adults with a recent history of MDD across multiple centres.

METHODS

This study is a secondary analysis of an on-going cohort study, RADAR-MDD project, a multi-centre study examining the use of remote measurement technology (RMT) in monitoring MDD. Self-reported questionnaire and passive data streams were analysed from participants who had joined the project prior to 1st December 2019 and had completed Patient Health and Self-esteem Questionnaires during the pandemic (n = 252). We used mixed models for repeated measures to estimate trajectories of depressive symptoms, self-esteem, and sleep duration.

RESULTS

In our sample of 252 participants, 48% (n = 121) had clinically relevant depressive symptoms shortly before the pandemic. For the sample as a whole, we found no evidence that depressive symptoms or self-esteem changed between pre-, during- and post-lockdown. However, we found evidence that mean sleep duration (in minutes) decreased significantly between during- and post- lockdown (- 12.16; 95% CI - 18.39 to - 5.92; p <  0.001). We also found that those experiencing clinically relevant depressive symptoms shortly before the pandemic showed a decrease in depressive symptoms, self-esteem and sleep duration between pre- and during- lockdown (interaction p = 0.047, p = 0.045 and p <  0.001, respectively) as compared to those who were not.

CONCLUSIONS

We identified changes in depressive symptoms and sleep duration over the course of lockdown, some of which varied according to whether participants were experiencing clinically relevant depressive symptoms shortly prior to the pandemic. However, the results of this study suggest that those with MDD do not experience a significant worsening in symptoms during the first months of the Covid - 19 pandemic.

Clinic price reductions in a tiered total cost benefit design

OBJECTIVES

To understand responses of primary care clinics to inclusion in a tiered total cost of care insurance benefit design.

STUDY DESIGN

We used a qualitative design beginning with longitudinal analysis of administrative data on consumer clinic choice, clinic tier placement, and clinic actions, followed by in-depth interviews with key informants from clinics, administering health plans, and program administrators.

METHODS

We collected data via semistructured interviews with purposively sampled key informants selected from clinics that prospectively reduced prices to move to, or remain in, a tier with lower cost sharing. Data from interview transcripts were coded using qualitative coding software and analyzed for thematic responses.

RESULTS

Our findings suggest that clinics respond to the incentives in the tiered cost-sharing benefit design. Two motivations cited by clinics are (1) concern over developing a reputation as a high-cost clinic and (2) concern about the possible loss of patients due to higher cost sharing. Some clinics have agreed to price reductions or risk-sharing arrangements to move to, or remain in, a tier with lower cost sharing. Clinic informants reported that price reductions alone are not scalable. They sought greater transparency in tier assignment and increased data sharing to help them reduce costly or unnecessary utilization.

CONCLUSIONS

Managers of primary care clinics respond to a tiered benefit design that holds them accountable for total cost of care. They respond by offering price discounts and expressing interest in reducing costly referrals and unnecessary use of services.

Reactions to Recommendations and Evidence About Prostate Cancer Screening Among White and Black Male Veterans

U.S. clinical guidelines recommend that prior to screening for prostate cancer with Prostate Specific Antigen (PSA), men should have an informed discussion about the potential benefits and harms of screening. Prostate cancer disproportionately affects Black men. To understand how White and Black men reacted to a draft educational pamphlet about the benefits and harms of PSA screening, we conducted race-specific focus groups at a midwestern VA medical center in 2013 and 2015. White and Black men who had been previously screened reviewed the draft pamphlet using a semistructured focus group facilitator guide. Forty-four men, ages 55-81, participated in four White and two Black focus groups. Three universal themes were: low baseline familiarity with prostate cancer, surprise and resistance to the recommendations not to test routinely, and negative emotions in response to ambiguity. Discussions of benefits and harms of screening, as well as intentions for exercising personal agency in prevention and screening, diverged between White and Black focus groups. Discussion in White groups highlighted the potential benefits of screening, minimized the harms, and emphasized personal choice in screening decisions. Participants in Black groups devoted almost no discussion to benefits, considered harms significant, and emphasized personal and collective responsibility for preventing cancer through diet, exercise, and alternative medicine. Discussion in Black groups also included the role of racism and discrimination in healthcare and medical research. These findings contribute to our understanding of how men's varied perspectives and life experiences affect their responses to prostate cancer screening information.

Relationship Between Major Depression Symptom Severity and Sleep Collected Using a Wristband Wearable Device: Multicenter Longitudinal Observational Study

Background

Sleep problems tend to vary according to the course of the disorder in individuals with mental health problems. Research in mental health has associated sleep pathologies with depression. However, the gold standard for sleep assessment, polysomnography (PSG), is not suitable for long-term, continuous monitoring of daily sleep, and methods such as sleep diaries rely on subjective recall, which is qualitative and inaccurate. Wearable devices, on the other hand, provide a low-cost and convenient means to monitor sleep in home settings.

Objective

The main aim of this study was to devise and extract sleep features from data collected using a wearable device and analyze their associations with depressive symptom severity and sleep quality as measured by the self-assessed Patient Health Questionnaire 8-item (PHQ-8).

Methods

Daily sleep data were collected passively by Fitbit wristband devices, and depressive symptom severity was self-reported every 2 weeks by the PHQ-8. The data used in this paper included 2812 PHQ-8 records from 368 participants recruited from 3 study sites in the Netherlands, Spain, and the United Kingdom. We extracted 18 sleep features from Fitbit data that describe participant sleep in the following 5 aspects: sleep architecture, sleep stability, sleep quality, insomnia, and hypersomnia. Linear mixed regression models were used to explore associations between sleep features and depressive symptom severity. The z score was used to evaluate the significance of the coefficient of each feature.

Results

We tested our models on the entire dataset and separately on the data of 3 different study sites. We identified 14 sleep features that were significantly (P<.05) associated with the PHQ-8 score on the entire dataset, among them awake time percentage (z=5.45, P<.001), awakening times (z=5.53, P<.001), insomnia (z=4.55, P<.001), mean sleep offset time (z=6.19, P<.001), and hypersomnia (z=5.30, P<.001) were the top 5 features ranked by z score statistics. Associations between sleep features and PHQ-8 scores varied across different sites, possibly due to differences in the populations. We observed that many of our findings were consistent with previous studies, which used other measurements to assess sleep, such as PSG and sleep questionnaires.

Conclusions

We demonstrated that several derived sleep features extracted from consumer wearable devices show potential for the remote measurement of sleep as biomarkers of depression in real-world settings. These findings may provide the basis for the development of clinical tools to passively monitor disease state and trajectory, with minimal burden on the participant.

Remote Measurement in Rheumatoid Arthritis: Qualitative Analysis of Patient Perspectives

BACKGROUND

Rheumatoid arthritis (RA) is characterized by recurrent fluctuations in symptoms such as joint pain, swelling, and stiffness. Remote measurement technologies (RMTs) offer the opportunity to track symptoms continuously and in real time; therefore, they may provide a more accurate picture of RA disease activity as a complement to prescheduled general practitioner appointments. Previous research has shown patient interest in remote symptom tracking in RA and has provided evidence for its clinical validity. However, there is a lack of co-design in the current development of systems, and the features of RMTs that best promote optimal engagement remain unclear.

OBJECTIVE

This study represents the first in a series of work that aims to develop a multiparametric RMT system for symptom tracking in RA. The objective of this study is to determine the important outcomes for disease management in patients with RA and how these can be best captured via remote measurement.

METHODS

A total of 9 patients (aged 23-77 years; mean 55.78, SD 17.54) with RA were recruited from King's College Hospital to participate in two semistructured focus groups. Both focus group discussions were conducted by a facilitator and a lived-experience researcher. The sessions were recorded, transcribed, independently coded, and analyzed for themes.

RESULTS

Thematic analysis identified a total of four overarching themes: important symptoms and outcomes in RA, management of RA symptoms, views on the current health care system, and views on the use of RMTs in RA. Mobility and pain were key symptoms to consider for symptom tracking as well as symptom triggers. There is a general consensus that the ability to track fluctuations and transmit such data to clinicians would aid in individual symptom management and the effectiveness of clinical care. Suggestions for visually capturing symptom fluctuations in an app were proposed.

CONCLUSIONS

The findings support previous work on the acceptability of RMT with RA disease management and address key outcomes for integration into a remote monitoring system for RA self-management and clinical care. Clear recommendations for RMT design are proposed. Future work will aim to take these recommendations into a user testing phase.

Toner Particles as Forensic Evidence: Microanalytical Characterization of Known Toner and Recognition of Toner in Environmental Samples*, †, ‡

Modern printing toners represent a prime example of subvisible particles that can be easily transferred to hands, clothing, and other surfaces. To explore the potential evidentiary value of toner particles, toner samples were collected from known printer cartridges and characterized by various microanalytical techniques to establish the properties most useful for recognition, identification, and comparison. Environmental samples (i.e., dust) were then collected from various locations at varying distances from toner-based printers, using both tape lifts and carbon adhesive stubs, to assess the possibility of detecting toner. By light microscopy, toner can be recognized on the basis of particle size and shape, as well as color. Further examination of the micromorphology in the field emission scanning electron microscope reveals characteristic morphologies and differences in surface texture and shape among toner sources. Raman spectroscopy provides chemical identification of the pigment (or pigment class) and, in some cases, also permits identification of the polymer component. While black and blue pigment chemistry remained constant among toner varieties that were studied (copper phthalocyanine and carbon black), variation in yellow and magenta pigments was observed. Analysis of dust samples collected from various environments demonstrated that while toner is consistently detectable in close proximity to printers (within 2 feet), it also can be detected in dust collected in nearby rooms. This research demonstrates that toner particles can be located, characterized, and discriminated, using a suite of microanalytical methods that are applicable to forensic casework.

The Genetic Links to Anxiety and Depression (GLAD) Study: Online recruitment into the largest recontactable study of depression and anxiety

BACKGROUND

Anxiety and depression are common, debilitating and costly. These disorders are influenced by multiple risk factors, from genes to psychological vulnerabilities and environmental stressors, but research is hampered by a lack of sufficiently large comprehensive studies. We are recruiting 40,000 individuals with lifetime depression or anxiety and broad assessment of risks to facilitate future research.

METHODS

The Genetic Links to Anxiety and Depression (GLAD) Study (www.gladstudy.org.uk) recruits individuals with depression or anxiety into the NIHR Mental Health BioResource. Participants invited to join the study (via media campaigns) provide demographic, environmental and genetic data, and consent for medical record linkage and recontact.

RESULTS

Online recruitment was effective; 42,531 participants consented and 27,776 completed the questionnaire by end of July 2019. Participants' questionnaire data identified very high rates of recurrent depression, severe anxiety, and comorbidity. Participants reported high rates of treatment receipt. The age profile of the sample is biased toward young adults, with higher recruitment of females and the more educated, especially at younger ages.

DISCUSSION

This paper describes the study methodology and descriptive data for GLAD, which represents a large, recontactable resource that will enable future research into risks, outcomes, and treatment for anxiety and depression.

Age-friendly communities and perceived disconnectedness: the role of built environment and social engagement

Objective: To examine the effect of access to outdoor space and buildings and social or community events on elders' perceived disconnectedness. Method: Data were from a representative survey conducted as part of an age-friendly community initiative in a large midwestern city in the United States. Hierarchical logistic regression was employed to examine the relationships between environment, engagement, and connection. Results: Having access to ramps to enter buildings reduced the odds of perceived disconnectedness by 79%, participation in social or community events reduced the odds of perceived disconnectedness by 83%. The odds of perceived disconnectedness for elders "not sure" of their access to public buildings were around 6 times that of those without access, holding all else constant. Discussion: Ensuring access to ramps to enter buildings, disseminating information about the accessibility of parks and buildings, and social or community events may reduce elders' perceived disconnectedness.

Tracking The Changing Landscape Of Corporate Wellness Companies

The corporate wellness industry is diversifying and now includes legacy wellness companies, divisions of health plans or delivery systems, and new technology-focused solution enterprises. We conducted in-depth interviews with leaders in the industry to understand the changes in its supply side, the drivers of these changes, future trends, and their implications for employers and policy makers. Three key trends emerged from the interviews: The industry is expanding and becoming increasingly diverse and competitive; wellness companies are redefining their business models to promote a culture of health; and the value proposition of employee wellness programs is shifting from a return on investment to a new idea: value on investment. Our findings clarify wellness companies' innovations, their contributions to population health improvement efforts, and the need for additional evidence to demonstrate the value of the new generation of wellness products and services.

A mixed methods study of emotional exhaustion: Energizing and depleting work within an innovative healthcare team

This mixed methods study documents emotional exhaustion experiences among care team members during the development of an innovative team approach for caring for adults with serious illness. A mixed methods study design was employed to examine depleting work experiences that may produce emotional exhaustion, and energizing aspects of the work that may increase meaningfulness of work, thus reducing emotional exhaustion. The population studied included team members involved in care for adults with serious illness (n = 18). Team members were surveyed quarterly over an 18-month period using the Maslach Burnout Inventory (MBI). The MBI measures burnout, defined as the inability to continue work because of the interactional toll of the work. Analyses of MBI data show that although overall levels of burnout are low, 89% of team members reported moderate/high levels of emotional exhaustion during at least one survey period. In order to understand the kinds of work experiences that may produce or ameliorate emotional exhaustion, qualitative interviews were also conducted with team members at the end of the 18-month period. Major qualitative findings indicate that disputes within the team, environmental pressures, and standardisation of meaningful work leave team members feeling depleted. Having authentic relationships with patients, working as a team, believing in the care model, and practicing autonomy and creativity help team members to restore their emotional energy. Supports for team members' well-being are critical for continued innovation. We conclude with recommendations for improving team members' well-being.

"This Is What Family Does": The Family Experience of Caring for Serious Illness

Background:

As the demographics of caregiving in United States evolve toward multigenerational, distributed family structures, the ways in which individuals and their families experience serious illness are changing. As part of a project to create an innovative model of supportive care for serious illness, a series of user interviews were conducted, forming the basis for this article.

Objective:

To understand the experience of caregiving for individuals with serious illness from an intergenerational family perspective.

Methods:

Twelve semistructured group interviews were conducted with patients, families, and professionals. Transcript data were analyzed with descriptive coding, looking for major themes and subthemes related to family experiences.

Results:

Seventy-three individuals participated in group interview sessions. While both families and individuals encountered caregiving challenges, the family unit experienced care in several unique ways. It accommodated differences in temperament and readiness, managed internal conflict, and strived to emerge as a cohesive unit. Individual struggles were often magnified or, more often, ameliorated by family context. Caregiving itself formed a legacy for future generations. Finally, care was seen as bidirectional, being tendered both by the family caregivers and in turn by the patient.

Conclusions:

When talking about care for serious illness, individuals report both rewards and challenges, often in a family context. The family enterprise manages a loved one’s care, negotiates the health-care system, and adjusts its own internal dynamics. Integrating the family narrative provides a more balanced view of the family system that provides the day-to-day care for individuals with serious illness.

Insights into targeting young male drivers with anti-speeding advertising: An application of the Step approach to Message Design and Testing (SatMDT)

In Australia, young drivers aged 17-25 years comprise 13% of the population yet account for 22% of all road deaths with young males over-represented in such trauma. Speeding represents a major contributing factor and advertising campaigns have long focused on promoting anti-speeding messages in the effort to reduce drivers' speeds. Positioned within a larger program of research aimed at developing, piloting, and evaluating a range of theoretically-informed anti-speeding messages, the current study reports results relating to the final phase of the research, the evaluation. Six messages were devised in accordance with the guiding framework, the Step approach to Message Design and Testing ([SatMDT]; Lewis et al., 2016) and based on the findings emerging from earlier qualitative and quantitative studies within the program of research. N=938 licensed drivers (n=455 males, 48%) aged 17-62 years completed an online survey. To ensure a controlled test of the persuasiveness of the message content, the messages were presented in an audio-based format and thus were devoid of potential confounds, such as images. The messages sought to address a particular belief (i.e., behavioural, normative, control) and to focus either on emphasising the positive aspects which make speeding less likely or challenging the negative aspects which make speeding more likely. Thus, key to this evaluation was to test the persuasiveness of the message content in terms of the particular belief and focus it was addressing. Participants were randomly assigned to either the Control condition (i.e., no exposure to a message) or the Intervention condition (i.e., exposed to one of the six messages presented as an audio-recorded message within the survey). Persuasiveness was assessed via a range of outcome measures including both direct (i.e., third-person perceptions, message rejection) as well as indirect measures (i.e., intentions, willingness to speed). Age, gender, and message type were independent variables (IVs), together with issue involvement as a covariate (or IV) in the study's analyses. Overall, positive persuasive effects, and a relative absence of any negative, dissuasive effects, were found for two messages, Glass Cars and The Lift. These messages addressed the same salient belief, control beliefs, with the former emphasising the factors which discourage speeding and the latter message challenging those factors which encourage speeding. The implications of the findings are discussed in terms of the insights they offer for the key content of future anti-speeding messages.

"It Has Changed My Life": An Exploration of Caregiver Experiences in Serious Illness

Background:

Informal, unpaid caregivers shoulder much of the care burden for individuals with serious illness. As part of a project to create an innovative model of supportive care for serious illness, a series of user interviews were conducted, forming the basis for this article.

Objective:

To understand both individual and interpersonal aspects of caregiving for serious illness.

Methods:

Twelve semistructured group interviews were conducted with patients, families, and professionals as part of a larger study of late-life serious illness. Transcript data were analyzed with descriptive coding, and then coded material was analyzed to elicit major themes and subthemes.

Results:

A total of 73 individuals participated in group interview sessions. Using descriptive coding, quotes were assigned to first-order codes of rewards, challenges, and a category of learnings and adaptations. Subthemes of reward included gratitude, a sense of accomplishment or mastery, and closeness in personal relationships. The most oft-cited challenges included emotional and physical stresses of caregiving and feeling unprepared or unsupported in caregiving. Reflecting on their experiences, caregivers cited new ways in which they had learned to be creative, to show assertiveness and advocacy, and to create personal balance in a demanding situation.

Conclusions:

The experience of caregiving is a life-altering journey as individuals rise to challenges and reflect on the rewards. Caregivers described intensive caregiving, often without acknowledgment or understanding of their role from the health-care system. This invisibility created its own iatrogenic caregiving challenge. The identified themes suggest avenues of meaningful caregiver support that bear further exploration.

Similar perspectives on prostate cancer screening value and new guidelines across patient demographic and PSA level subgroups: A qualitative study

BACKGROUND

In 2012, the United States Preventive Services Task Force (USPSTF) recommended against prostate-specific antigen (PSA)-based prostate cancer screening for all men.

OBJECTIVE

To inform educational materials addressing patient questions and concerns about the 2012 USPSTF guidelines, we sought to: (i) characterize patient perceptions about prostate cancer screening benefits, harms and recommendations against screening, and (ii) compare perceptions across race, age and PSA level subgroups.

METHODS

We conducted qualitative interviews with a sample of 26 men from the Minneapolis Veterans Affairs Health Care System, stratified by race (African American, other), age (50-69, 70-84) and PSA level (documented PSA level ≥4 in Veterans Health Administration electronic medical records vs no such documentation). We used an inductive approach informed by grounded theory to analyse transcribed interviews.

RESULTS

Most men in all subgroups expressed misperceptions about the benefits of prostate cancer screening and had difficulty identifying harms associated with screening. In all subgroups, reactions to recommendations against screening ranged from unconditionally receptive to highly resistant. Some men in every subgroup initially resistant to the idea said they would accept a recommendation to discontinue screening from their provider.

CONCLUSIONS

Given the similarity of perceptions and reactions across subgroups, materials targeted by race, age and PSA level may not be necessary. Efforts to inform decision making about prostate cancer screening should address misperceptions about benefits and lack of awareness of harms. Provider perspectives and recommendations may play a pivotal role in shaping patient reactions to new guidelines.

Psychosocial presentation of revisional LAGB patients: a qualitative study

This qualitative study offers insight into the experiences, expectations, perceptions and beliefs that may lead to laparoscopic adjustable gastric band patients' failure to achieve expected weight loss and seek revisional bariatric surgery. The 23 participants from two sites were interviewed and data were analysed from a grounded theory methodology in order to build a causal model. Analysis of participants' reports identified 'unrealistic expectations of the LAGB' as the core category. Additionally, the restriction of the band had a negative impact on participants' social interactions, leading to feelings of deprivation and, thus, to a desire for reward from food choices and consequently an increase of consumption of high-calorie-dense foods. These foods were chosen because of their specific texture or ability to provide reward. The resulting increase in weight or failure to achieve excess weight loss, led to feelings of shame and loneliness and emotional eating resulting in increased the consumption of rewarding foods. Thus, identifying unrealistic expectations of laparoscopic adjustable gastric band (LAGB) and emotional eating behaviours are important in those who are present initially for primary bariatric and revisional bariatric surgery, as they may contribute specifically to these patients' weight regain and consequent failure to achieve excess weight loss.

Abstract 517: The MicroRNA Cluster 99b/let7-e/125a is Downregulated Following Vein Grafting in a Porcine Model, and Upregulation Alters Vascular Cell Phenotype in vitro

Introduction: Coronary artery bypass surgery is a common surgical procedure. However, 20-50% of patients present vein graft failure within 10 years. The occlusion of the graft is induced by intimal hyperplasia formation promoted by enhanced vascular smooth muscle cells (SMC) proliferation and migration. MicroRNAs are becoming recognized for their role in SMC proliferation and migration associated with vascular pathologies. Here we investigate a cluster of miRNAs (99b/let-7e/125a) in a model of vein graft failure and assessed the effect of modulating its expression in SMCs.

Methods: Global miRNA profiles were analyzed in porcine saphenous vein grafts 7 and 28 days post-engraftment (n=6) by a TaqMan low density array. The three miRNAs encoded by the cluster were further validated by qPCR. SMCs were isolated from human saphenous vein and then transduced with a lentiviral vector (Lv-cluster) carrying entire cluster sequence. The effects on proliferation (BrdU incorporation) and migration (scratch wound) were analyzed. Computational analysis identified AKT-1, a known pro-proliferative factor, as a common previously validated target for 99b/let7-e/125a miRNAs. AKT-1 mRNA (qPCR) and protein expression (western blot) were analyzed in SMCs previously infected with Lv-cluster.

Results: All three miRNAs encoded by this cluster were downregulated in graft samples 7 and 28 days post-engraftment, compared to ungrafted saphenous vein (Fold change at 7 days: 99b: 0.5±0.07, let-7e: 0.34±0.03, 125a: 0.6±0.07; p<0.05. Fold 28 days: 99b: 0.32±0.05, let-7e: 0.24±0.05, 125a: 0.35+0.07; p<0.001). Infection of SMCs with this Lv-cluster increased the expression of the mature miRNAs by ~ 5 fold compared to controls. This increase was associated with a significant (p<0.01) reduction in SMCs migration (20%±1) and proliferation (90%±4). These results demonstrate that overexpression of this cluster in SMCs significantly (p<0.05) reduced the mRNA and protein levels of AKT-1 (0.6 and 0.4 fold, respectively).

Conclusion: MiRNAs levels of the cluster 99b/let-7e/125a are downregulated in a porcine model of saphenous vein grafting. In vitro results suggest that overexpression of this miRNA cluster reduces migration and proliferation in SMCs by targeting AKT/mTOR pathway.

More than a score: a qualitative study of ancillary benefits of performance measurement

BACKGROUND

Prior research has examined clinical effects of performance measurement systems. To the extent that non-clinical effects have been researched, the focus has been on negative unintended consequences. Yet, these same systems may also have ancillary benefits for patients and providers--that is, benefits that extend beyond improvements on clinical measures. The purpose of this study is to identify and describe potential ancillary benefits of performance measures as perceived by primary care staff and facility leaders in a large US healthcare system.

METHODS

In-person individual semistructured interviews were conducted with 59 primary care staff and facility leaders at four Veterans Health Administration facilities. Transcribed interviews were coded and organised into thematic categories.

RESULTS

Interviewed staff observed that local performance measurement implementation practices can result in increased patient knowledge and motivation. These effects on patients can lead to improved performance scores and additional ancillary benefits. Performance measurement implementation can also directly result in ancillary benefits for the patients and providers. Patients may experience greater satisfaction with care and psychosocial benefits associated with increased provider-patient communication. Ancillary benefits of performance measurement for providers include increased pride in individual or organisational performance and greater confidence that one's practice is grounded in evidence-based medicine.

CONCLUSIONS

A comprehensive understanding of the effects of performance measurement systems needs to incorporate ancillary benefits as well as effects on clinical performance scores and negative unintended consequences. Although clinical performance has been the focus of most evaluations of performance measurement to date, both patient care and provider satisfaction may improve more rapidly if all three categories of effects are considered when designing and evaluating performance measurement systems.

Assessment of a novel, capsid-modified adenovirus with an improved vascular gene transfer profile

Background

Cardiovascular disorders, including coronary artery bypass graft failure and in-stent restenosis remain significant opportunities for the advancement of novel therapeutics that target neointimal hyperplasia, a characteristic of both pathologies. Gene therapy may provide a successful approach to improve the clinical outcome of these conditions, but would benefit from the development of more efficient vectors for vascular gene delivery. The aim of this study was to assess whether a novel genetically engineered Adenovirus could be utilised to produce enhanced levels of vascular gene expression.

Methods

Vascular transduction capacity was assessed in primary human saphenous vein smooth muscle and endothelial cells using vectors expressing the LacZ reporter gene. The therapeutic capacity of the vectors was compared by measuring smooth muscle cell metabolic activity and migration following infection with vectors that over-express the candidate therapeutic gene tissue inhibitor of matrix metalloproteinase-3 (TIMP-3).

Results

Compared to Adenovirus serotype 5 (Ad5), the novel vector Ad5T*F35++ demonstrated improved binding and transduction of human vascular cells. Ad5T*F35++ mediated expression of TIMP-3 reduced smooth muscle cell metabolic activity and migration in vitro. We also demonstrated that in human serum samples pre-existing neutralising antibodies to Ad5T*F35++ were less prevalent than Ad5 neutralising antibodies.

Conclusions

We have developed a novel vector with improved vascular transduction and improved resistance to human serum neutralisation. This may provide a novel vector platform for human vascular gene transfer.

Improving chronic disease care by adding laypersons to the primary care team: a parallel randomized trial

BACKGROUND

Improving the quality and efficiency of chronic disease care is an important goal.

OBJECTIVE

To test whether patients with chronic disease working with lay "care guides" would achieve more evidence-based goals than those receiving usual care.

DESIGN

Parallel-group randomized trial, stratified by clinic and conducted from July 2010 to April 2012. Patients were assigned in a 2:1 ratio to a care guide or usual care. Patients, providers, and persons assessing outcomes were not blinded to treatment assignment. (ClinicalTrials.gov: NCT01156974).

SETTING

6 primary care clinics in Minnesota.

PATIENTS

Adults with hypertension, diabetes, or heart failure.

INTERVENTION

2135 patients were given disease-specific information about standard care goals and asked to work toward goals for 1 year, with or without the help of a care guide. Care guides were 12 laypersons who received brief training about these diseases and behavior change.

MEASUREMENTS

The primary end point for each patient was change in percentage of goals met 1 year after enrollment.

RESULTS

The percentage of goals met increased in both the care guide and usual care groups (changes from baseline, 10.0% and 3.9%, respectively). Patients with care guides achieved more goals than usual care patients (82.6% vs. 79.1%; odds ratio, 1.31 [95% CI, 1.16 to 1.47]; P < 0.001); reduced unmet goals by 30.1% compared with 12.6% for usual care patients; and improved more than usual care patients in meeting several individual goals, including not using tobacco. Estimated cost was $286 per patient per year.

LIMITATIONS

Providers' usual care may have been influenced by contact with care guides. Last available data in the electronic health record were used to assess end points.

CONCLUSION

Adding care guides to the primary care team can improve care for some patients with chronic disease at low cost.

miRNA-21 is dysregulated in response to vein grafting in multiple models and genetic ablation in mice attenuates neointima formation

Aims

The long-term failure of autologous saphenous vein bypass grafts due to neointimal thickening is a major clinical burden. Identifying novel strategies to prevent neointimal thickening is important. Thus, this study aimed to identify microRNAs (miRNAs) that are dysregulated during neointimal formation and determine their pathophysiological relevance following miRNA manipulation.

Methods and results

We undertook a microarray approach to identify dysregulated miRNAs following engraftment in an interpositional porcine graft model. These profiling experiments identified a number of miRNAs which were dysregulated following engraftment. miR-21 levels were substantially elevated following engraftment and these results were confirmed by quantitative real-time PCR in mouse, pig, and human models of vein graft neointimal formation. Genetic ablation of miR-21 in mice or grafted veins dramatically reduced neointimal formation in a mouse model of vein grafting. Furthermore, pharmacological knockdown of miR-21 in human veins resulted in target gene de-repression and a significant reduction in neointimal formation.

Conclusion

This is the first report demonstrating that miR-21 plays a pathological role in vein graft failure. Furthermore, we also provided evidence that knockdown of miR-21 has therapeutic potential for the prevention of pathological vein graft remodelling.

Effect of astaxanthin on cycling time trial performance

We examined the effect of Astaxanthin (AST) on substrate metabolism and cycling time trial (TT) performance by randomly assigning 21 competitive cyclists to 28 d of encapsulated AST (4 mg/d) or placebo (PLA) supplementation. Testing included a VO2max test and on a separate day a 2 h constant intensity pre-exhaustion ride, after a 10 h fast, at 5% below VO2max stimulated onset of 4 mmol/L lactic acid followed 5 min later by a 20 km TT. Analysis included ANOVA and post-hoc testing. Data are Mean (SD) and (95% CI) when expressed as change (pre vs. post). Fourteen participants successfully completed the trial. Overall, we observed significant improvements in 20 km TT performance in the AST group (n=7; -121 s; 95% CI, -185, -53), but not the PLA (n=7; -19 s; 95% CI, -84, 45). The AST group was significantly different vs. PLA (P<0.05). The AST group significantly increased power output (20 W; 95% CI, 1, 38), while the PLA group did not (1.6 W; 95% CI, -17, 20). The mechanism of action for these improvements remains unclear, as we observed no treatment effects for carbohydrate and fat oxidation, or blood indices indicative of fuel mobilization. While AST significantly improved TT performance the mechanism of action explaining this effect remains obscure.

Does obesity predict knee pain over fourteen years in women, independently of radiographic changes?

OBJECTIVE

To examine longitudinal patterns in body mass index (BMI) over 14 years and its association with knee pain in the Chingford Study.

METHODS

We studied a total of 594 women with BMI data from clinic visits at years (Y) 1, 5, 10, and 15. Knee pain at Y15 was assessed by questionnaire. Associations between BMI over 14 years and knee pain at Y15 were examined using logistic regression.

RESULTS

BMI significantly increased from Y1 to Y15 (P < 0.0005) with medians (interquartile ranges) of 24.5 kg/m(2) (22.5-27.2 kg/m(2) ) and 26.5 kg/m(2) (23.9-30.1 kg/m(2) ), respectively. At Y15, 45.1% of subjects had knee pain. A greater BMI at Y1 (odds ratio [OR] 1.34, 95% confidence interval [95% CI] 1.05-1.69), at Y15 (OR 1.34, 95% CI 1.10-1.61), and change in BMI over 15 years (OR 1.40, 95% CI 1.00-1.93) were significant predictors of knee pain at Y15 (P < 0.05). BMI change was associated with bilateral (OR 1.61, 95% CI 1.05-1.76, P = 0.024) but not unilateral knee pain (OR 1.22, 95% CI 0.73-1.76, P = 0.298). The association between BMI change and knee pain was independent of radiographic knee osteoarthritis (OA). The strength of association between BMI and knee pain at Y15 was similar during followup measurements.

CONCLUSION

Over 14 years, a higher BMI predicts knee pain at Y15 in women, independently of radiographic knee OA. When adjusted, the association was significant in bilateral, not unilateral, knee pain, suggesting alternative pathologic mechanisms may exist. The longitudinal effect of BMI on knee pain at Y15 is equally important at any time point, which may assist reducing the population burden of knee pain.

Response efficacy: the key to minimizing rejection and maximizing acceptance of emotion-based anti-speeding messages

This study sought to improve understanding of the persuasive process of emotion-based appeals not only in relation to negative, fear-based appeals but also for appeals based upon positive emotions. In particular, the study investigated whether response efficacy, as a cognitive construct, mediated outcome measures of message effectiveness in terms of both acceptance and rejection of negative and positive emotion-based messages. Licensed drivers (N=406) participated via the completion of an on-line survey. Within the survey, participants received either a negative (fear-based) appeal or one of the two possible positive appeals (pride or humor-based). Overall, the study's findings confirmed the importance of emotional and cognitive components of persuasive health messages and identified response efficacy as a key cognitive construct influencing the effectiveness of not only fear-based messages but also positive emotion-based messages. Interestingly, however, the results suggested that response efficacy's influence on message effectiveness may differ for positive and negative emotion-based appeals such that significant indirect (and mediational) effects were found with both acceptance and rejection of the positive appeals yet only with rejection of the fear-based appeal. As such, the study's findings provide an important extension to extant literature and may inform future advertising message design.

Assessing the effectiveness of low-pressure ultraviolet light for inactivating Mycobacterium avium complex (MAC) micro-organisms

AIMS

To assess low-pressure ultraviolet light (LP-UV) inactivation kinetics of Mycobacterium avium complex (MAC) strains in a water matrix using collimated beam apparatus.

METHODS AND RESULTS

Strains of M. avium (n = 3) and Mycobacterium intracellulare (n = 2) were exposed to LP-UV, and log(10) inactivation and inactivation kinetics were evaluated. All strains exhibited greater than 4 log(10) inactivation at fluences of less than 20 mJ cm(-2). Repair potential was evaluated using one M. avium strain. Light repair was evaluated by simultaneous exposure using visible and LP-UV irradiation. Dark repair was evaluated by incubating UV-exposed organisms in the dark for 4 h. The isolate did not exhibit light or dark repair activity.

CONCLUSIONS

Results indicate that MAC organisms are readily inactivated at UV fluences typically used in drinking water treatment. Differences in activation kinetics were small but statistically significant between some tested isolates.

SIGNIFICANCE AND IMPACT OF THE STUDY

Results provide LP-UV inactivation kinetics for isolates from the relatively resistant MAC. Although UV inactivation of Mycobacterium species have been reported previously, data collected in this effort are comparable with recent UV inactivation research efforts performed in a similar manner. Data were assessed using a rigorous statistical approach and were useful towards modelling efforts.

The theory of planned behaviour: self-identity, social identity and group norms

The aim of the present study was to examine further the role that self-identity plays in the theory of planned behaviour and, more specifically, to: (1) examine the combined effects of self-identity and social identity constructs on intention and behaviour, and (2) examine the effects of self-identity as a function of past experience of performing the behaviour. The study was concerned with the prediction of intention to engage in household recycling and reported recycling behaviour. A sample of 143 community residents participated in the study. It was prospective in design: measures of the predictors and intention were obtained at the first wave of data collection, whereas behaviour was assessed two weeks later. Self-identity significantly predicted behavioural intention, a relationship that was not dependent on the extent to which the behaviour had been performed in the past. As expected, there was also evidence that the perceived norm of a behaviourally relevant reference group was related to behavioural intention, but only for participants who identified strongly with the group, whereas the relationship between perceived behavioural control (a personal factor) and intention was strongest for low identifiers.

Pharmacokinetics in nonhuman primates of a prototype carbapenem active against methicillin-resistant Staphylococcus aureus

Pharmacokinetic parameters were determined for imipenem-cilastatin and a carbapenem antibiotic, L-695,256, active against methicillin-resistant Staphylococcus aureus in rhesus monkeys and a chimpanzee. L-695,256 had larger areas under the concentration-time curve than imipenem-cilastatin (30 +/- 5 versus 24 +/- 1 micrograms.h/ml in the rhesus monkeys and 77 versus 60 micrograms.h/ml in the chimpanzee) and a longer half-life at beta phase (1.2 +/- 0.1 versus 0.6 +/- 0.1 h in the rhesus monkeys and 1.0 versus 0.8 h in the chimpanzee). Resistance to hydrolysis by the renal dehydropeptidase-I allowed L-695,256 to be administered as a single agent.

Vibrometry testing for carpal tunnel syndrome: a longitudinal study of daily variations

The method of limits procedure was used to obtain 84 120Hz vibration thresholds, over a 3-month period, on four age-matched women with different levels of carpal tunnel syndrome (CTS). Each woman used a keyboard for 4 hours a day during work. Testing was conducted in a room with a temperature of 28 degrees C +/- 2 degrees C after 20 minutes acclimation. Results indicate vibration thresholds vary significantly from day to day and also demonstrate how a single vibrometry measure may falsely identify the participant's true CTS condition. Specifically, a single measure could account for a negative CTS determinations in affected wrists or positive CTS determinations in healthy wrists. Subsequent analysis revealed menses related fluid retention and day of the week increase the vibration thresholds. Analyzing the levels of fluid retention by day of the week indicates a compounding effect of the personal and occupational risk factors.

Human basic tear fluid osmolality. II. Importance of processing strategy

Osmolalities of 100 human inferior tear prism fluid samples collected from two subjects and 100 standard solution samples (290 mOsm/Kg) were determined from their melting-point temperatures with the Clifton Nanoliter Osmometer. Accuracy and reliability comparisons were made for endpoints obtained using a single-sample simultaneous-recalibration (SS/SR) strategy, vs a lowest-of-six periodic-recalibration (LS/PR) strategy. Tear fluid osmolality values based on the LS/PR strategy were significantly lower (hypotonic) than for the SS/SR strategy (overall mean = 302.4 and 307.8 mOsm/Kg, respectively; p < 0.0012). The mean difference (5.4 mOsm/Kg) resulted from the combined effects of machine drift and reduced reliability of endpoint determination for tear fluid in comparison to that of a homogenous standard solution. LS/PR osmolality was linearly correlated to SS/SR osmolality with a slope of 0.433 and the two endpoint strategies resulted in equivalent values at 298.4 mOsm/Kg. Eighty-four percent (84%) of individual osmolality readings were greater than 298.4 mOsm/kg, and an 'averaging-type' effect caused LS/PR osmolalities to be increasingly less than SS/SR values above this value. These outcomes from two subjects were approximated by a parallel statistical model. We suggest that physiological representation of basic human tear fluid is more accurate using the single-sample simultaneous-recalibration strategy. Basic human tear prism fluid is more hypertonic and has a greater within-subject range in normal (non-dry eye) humans than previously realized.

Human basic tear fluid osmolality. I. Importance of sample collection strategy

Osmolalities of 200 human tear prism fluid samples collected from two subjects were determined from their melting-point temperatures with the Clifton Nanoliter Osmometer by calibration with 200 standard solution samples (290 mOsm/kg). Comparisons were made between tear fluid osmolalities obtained using a single-sample simultaneous-recalibration method: 1) for tear samples collected using finely-drawn microcapillaries without biomicroscopy, vs secondly with biomicroscopic observation by illumination of only the sampling area on the inferior tear prism, the two collections separated by an interval of 10 min; and 2) for samples collected without biomicroscopy before, vs after a 10-min interval. Tear fluid collection using a biomicroscope resulted in values that were significantly lower than those collected without (overall mean = 299.5 and 306.6 mOsm/kg, respectively; p < 0.0001). The difference (7.1 mOsm/kg) may have resulted from mechanical, photic, and/or psychogenic reflex stimulation due to biomicroscopy, as the 10-min interval had no osmotic effect on samples collected without biomicroscopy. Based on these results from two subjects, we suggest that relatively rapid, repetitive collections of human tear prism fluid can be made without significantly disturbing the osmotic outcome. However, physiological representation of basic human tear fluid is more accurate by avoidance of reflex-inducing collection methods that were formerly considered unobtrusive. Basic human tear prism fluid is more hypertonic, by at least 7 mOsm/kg, than generally realized.