Sex is Associated with Differences in Individual Trajectories of Change in Social Health after Implantable Cardioverter-defibrillator

Social health is a dimension of quality of life, and refers to people’s involvement in, and satisfaction with social roles, responsibilities, and activities. The implantable cardioverter-defibrillator is associated with changes in overall quality of life, but little is known about sex differences in individual trajectories of change in social health. Methods and Results We prospectively measured changes in 3 subscales of the SF-36v2 generic health questionnaire (role physical, role emotional, and social functioning), 2 Patient-Reported Outcomes Measurement Information System short forms (satisfaction with participation in social roles and satisfaction with participation in discretionary social activities), and the Florida Patient Acceptance Survey before and at 1, 2, and 6 months after implantation. Individual growth models of temporal change were estimated. The scores of the 6 indicators improved with time. The unconditional model demonstrated significant (fixed effects: P<0.05; covariance parameters: P<0.10) residual variability in the individual trajectories. In the conditional model, men and women differed significantly in their rates of change in the scores of 3 of the 6 measures. Although men’s mean scores exceeded women’s mean scores on all indicators at baseline (range of relative mean difference: 11.0% to 17.8%), the rate of women’s change resulted in a reversal in relative standing at 6 months after implantation, with the mean scores of women exceeding the men’s by 4.5% to 5.6%. Conclusions Men and women differed in their trajectories of change in social health, both in terms of their starting points (ie, baseline scores) and their rates of change. &nbsp

Temporal Changes in Mortality After Transcatheter and Surgical Aortic Valve Replacement: Retrospective Analysis of US Medicare Patients (2012–2019)

BACKGROUND: The treatment of aortic stenosis is evolving rapidly. Pace of change in the care of patients undergoing transcatheter aortic valve replacement (TAVR) and surgical aortic valve replacement (SAVR) differs. We sought to determine differences in temporal changes in 30‐day mortality, 30‐day readmission, and length of stay after TAVR and SAVR. METHODS AND RESULTS: We conducted a retrospective cohort study of patients treated in the United States between 2012 and 2019 using data from the Medicare Data Set Analytic File 100% Fee for Service database. We included consecutive patients enrolled in Medicare Parts A and B and aged ≥65 years who had SAVR or transfemoral TAVR. We defined 3 study cohorts, including all SAVR, isolated SAVR (without concomitant procedures), and elective isolated SAVR and TAVR. The primary end point was 30‐day mortality; secondary end points were 30‐day readmission and length of stay. Statistical models controlled for patient demographics, frailty measured by the Hospital Frailty Risk Score, and comorbidities measured by the Elixhauser Comorbidity Index (ECI). Cox proportional hazard models were developed with TAVR versus SAVR as the main covariates with a 2‐way interaction term with index year. We repeated these analyses restricted to full aortic valve replacement hospitals offering both SAVR and TAVR. The main study cohort included 245 269 patients with SAVR and 188 580 patients with TAVR, with mean±SD ages 74.3±6.0 years and 80.7±6.9 years, respectively, and 36.5% and 46.2% female patients, respectively. Patients with TAVR had higher ECI scores (6.4±3.6 versus 4.4±3) and were more frail (55.4% versus 33.5%). Total aortic valve replacement volumes increased 61% during the 7‐year span; TAVR volumes surpassed SAVR in 2017. The magnitude of mortality benefit associated with TAVR increased until 2016 in the main cohort (2012: hazard ratio [HR], 0.76 [95% CI, 0.67–0.86]; 2016: HR, 0.39 [95% CI, 0.36–0.43]); although TAVR continued to have lower mortality rates from 2017 to 2019, the magnitude of benefit over SAVR was attenuated. A similar pattern was seen with readmission, with a lower risk of readmission from 2012 to 2016 for patients with TAVR (2012: HR, 0.68 [95% CI, 0.63–0.73]; 2016: HR, 0.43 [95% CI, 0.41–0.45]) followed by a lesser difference from 2017 to 2019. Year over year, TAVR was associated with increasingly shorter lengths of stay compared with SAVR (2012: HR, 1.91 [95% CI, 1.84–1.98]; 2019: HR, 5.34 [95% CI, 5.22–5.45]). These results were consistent in full aortic valve replacement hospitals. CONCLUSIONS: The rate of improvement in TAVR outpaced SAVR until 2016, with the recent presence of U‐shaped phenomena suggesting a narrowing gap between outcomes. Future longitudinal research is needed to determine the long‐term implications of lowering risk profiles across treatment options to guide case selection and clinical care

Bridging clinical practice and research in the hospital setting: Exploring the endless possibilities

As a practice discipline with an emerging research tradition, nursing is challenged to remain grounded in the clinical setting while building means to contribute to scientific evidence. The creation of new knowledge does not on its own lead to widespread implementation and impact on health outcomes. The hospital setting presents multiple opportunities for researchers to engage in projects amenable to rapid knowledge translation, by addressing issues ranging from innovations in practice, care processes to outcome measurement. This presentation will explore the opportunities and challenges of bridging clinical practice and research in the hospital setting by engaging in a dynamic and iterative process to promote research dissemination and exchange. I will explore how a research question that originated from a nursing staff meeting in a cardiology centre was developed into a Master’s thesis project, and how the findings were translated into changes in clinical practice. Other examples will include research projects aimed at informing the development of clinical practice guidelines for survivors of sudden cardiac death, incorporating the measurement of neurocognitive outcomes and quality of life in frail elderly patients undergoing innovative cardiac procedures, and highlighting patient-reported outcomes in cardiac device care. By discussing the mechanisms that facilitate the transfer of knowledge “from thesis to bedside”, I will highlight opportunities and recommendations to integrate knowledge translation by identifying questions of interest to stakeholders, adapting knowledge development to the local context, assessing and addressing the potential barriers to knowledge use, selecting, tailoring and implementing interventions, and sustaining knowledge use. This presentation will invite debate on how to optimize the rapid impact of research on patient care.Applied Science, Faculty ofNursing, School ofUnreviewedResearche

Growth mixture models: a case example of the longitudinal analysis of patient‐reported outcomes data captured by a clinical registry

Background: An assumption in many analyses of longitudinal patient-reported outcome (PRO) data is that there is a single population following a single health trajectory. One approach that may help researchers move beyond this traditional assumption, with its inherent limitations, is growth mixture modelling (GMM), which can identify and assess multiple unobserved trajectories of patients’ health outcomes. We describe the process that was undertaken for a GMM analysis of longitudinal PRO data captured by a clinical registry for outpatients with atrial fibrillation (AF). Methods: This expository paper describes the modelling approach and some methodological issues that require particular attention, including (a) determining the metric of time, (b) specifying the GMMs, and (c) including predictors of membership in the identified latent classes (groups or subtypes of patients with distinct trajectories). An example is provided of a longitudinal analysis of PRO data (patients’ responses to the Atrial Fibrillation Effect on QualiTy-of-Life (AFEQT) Questionnaire) collected between 2008 and 2016 for a population-based cardiac registry and deterministically linked with administrative health data. Results: In determining the metric of time, multiple processes were required to ensure that “time” accounted for both the frequency and timing of the measurement occurrences in light of the variability in both the number of measures taken and the intervals between those measures. In specifying the GMM, convergence issues, a common problem that results in unreliable model estimates, required constrained parameter exploration techniques. For the identification of predictors of the latent classes, the 3-step (stepwise) approach was selected such that the addition of predictor variables did not change class membership itself. Conclusions: GMM can be a valuable tool for classifying multiple unique PRO trajectories that have previously been unobserved in real-world applications; however, their use requires substantial transparency regarding the processes underlying model building as they can directly affect the results and therefore their interpretation.Applied Science, Faculty ofEducation, Faculty ofOther UBCNon UBCEducational and Counselling Psychology, and Special Education (ECPS), Department ofNursing, School ofReviewedFacult

Exploring the synergies between focused ethnography and integrated knowledge translation

Background: Issues with the uptake of research findings in applied health services research remain problematic. Part of this disconnect is attributed to the exclusion of knowledge users at the outset of a study, which often results in the generation of knowledge that is not usable at the point of care. Integrated knowledge translation blended with qualitative methodologies has the potential to address this issue by working alongside knowledge users throughout the research process. Nevertheless, there is currently a paucity of literature about how integrated knowledge translation can be integrated into qualitative methodology; herein, we begin to address this gap in methodology discourse. The purpose of this paper is to describe our experience of conducting a focused ethnography with a collaborative integrated knowledge translation approach, including the synergies and potential sources of discord between integrated knowledge translation and focused ethnography. Methods: We describe the specific characteristics and synergies that exist when using an integrated knowledge translation approach with focused ethnography, using a research exemplar about the experiences of frail, older adults undergoing a transcatheter aortic valve implantation. Results: Embedding integrated knowledge translation within focused ethnography resulted in (1) an increased focus on the culture and values of the context under study, (2) a higher level of engagement among researchers, study participants and knowledge users, and (3) a commitment to partnership between researchers and knowledge users as part of a larger programme of research, resulting in a (4) greater emphasis on the importance of reciprocity and trustworthiness in the research process. Conclusions: Engaging in integrated knowledge translation from the outset of a study ensures that research findings are relevant for application at the point of care. The integration of integrated knowledge translation within focused ethnography allows for real-time uptake of meaningful and emerging findings, the strengthening of collaborative research teams, and opportunities for sustained programmes of research and relationships in the field of health services research. Further exploration of the integration of knowledge translation approaches with qualitative methodologies is recommended.Applied Science, Faculty ofOther UBCNon UBCNursing, School ofReviewedFacult

Association between frailty and self-reported health following heart valve surgery

Background: Knowledge about the association between frailty and self-reported health among patients undergoing heart valve surgery remains sparse. Thus, the objectives were to I) describe changes in self-reported health at different time points according to frailty status, and to II) investigate the association between frailty status at discharge and poor self-reported health four weeks after discharge among patients undergoing heart valve surgery. Methods: In a prospective cohort study, consecutive patients undergoing heart valve surgery, including transapical/transaortic valve procedures were included. Frailty was measured using the Fried score, and self-reported health using the Kansas City Cardiomyopathy Questionnaire (KCCQ) and the EuroQoL-5 Dimensions 5-Levels Health Status Questionnaire (EQ-5D-5L). To investigate the association between frailty and self-reported health, multivariable logistic regression models were used. Analyses were adjusted for sex, age, surgical risk evaluation (EuroScore) and procedure and presented as odds ratios (OR) with 95% confidence intervals (CI). Results: Frailty was assessed at discharge in 288 patients (median age 71, 69% men); 51 patients (18%) were frail. In the multivariable analyses, frailty at discharge remained significantly associated with poor self-reported health at four weeks, OR (95% CI): EQ-5D-5L Index 3.38 (1.51-7.52), VAS 2.41 (1.13-5.14), and KCCQ 2.84 (1.35-5.97). Conclusion: Frailty is present at discharge in 18% of patients undergoing heart valve surgery, and being frail is associated with poor self-reported health at four weeks of follow-up. This supports a clinical need to address the unique risk of frail patients among heart valve teams broadly, and not only to measure frailty as a marker of operative risk. (C) 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Association between frailty and self-reported health following heart valve surgery

Background Knowledge about the association between frailty and self-reported health among patients undergoing heart valve surgery remains sparse. Thus, the objectives were to I) describe changes in self-reported health at different time points according to frailty status, and to II) investigate the association between frailty status at discharge and poor self-reported health four weeks after discharge among patients undergoing heart valve surgery. Methods In a prospective cohort study, consecutive patients undergoing heart valve surgery, including transapical/transaortic valve procedures were included. Frailty was measured using the Fried score, and self-reported health using the Kansas City Cardiomyopathy Questionnaire (KCCQ) and the EuroQoL-5 Dimensions 5-Levels Health Status Questionnaire (EQ-5D-5L). To investigate the association between frailty and self-reported health, multivariable logistic regression models were used. Analyses were adjusted for sex, age, surgical risk evaluation (EuroScore) and procedure and presented as odds ratios (OR) with 95% confidence intervals (CI). Results Frailty was assessed at discharge in 288 patients (median age 71, 69% men); 51 patients (18%) were frail. In the multivariable analyses, frailty at discharge remained significantly associated with poor self-reported health at four weeks, OR (95% CI): EQ-5D-5L Index 3.38 (1.51–7.52), VAS 2.41 (1.13–5.14), and KCCQ 2.84 (1.35–5.97). Conclusion Frailty is present at discharge in 18% of patients undergoing heart valve surgery, and being frail is associated with poor self-reported health at four weeks of follow-up. This supports a clinical need to address the unique risk of frail patients among heart valve teams broadly, and not only to measure frailty as a marker of operative risk