Dataset Information

The development and validation of scales to measure the presence of a teachable moment following a cardiovascular disease event.

ABSTRACT: Better conceptually-driven research is necessary to learn more about 1) the characteristics of life events as teachable moments (TMs) and 2) the potential of life events to evoke lifestyle change intention (LCI). This study aimed to develop and validate two scales for the purposes of TM research in the context of cardiovascular disease (CVD): the CardiacTM and CardiacLCI-scales. After the initial development of items based on a theoretical framework and literature search, six experts rated the content validity of both scales as sufficient. The item list was further adjusted after think-aloud sessions with two CVD patients. The resulting scales were presented online in a cross-sectional survey, which yielded 625 responses of Dutch CVD patients (June 2020). To test construct validity, we conducted Exploratory Factor Analysis (EFA) with Varimax rotation on a random split-half of the sample (n = 300) and evaluated the factor structure with Confirmatory Factor Analysis (CFA) on the holdout sample (n = 325). EFA and CFA on the CardiacTM-scale (α = 0.88) revealed a 28-item six-factor structure explaining 61.0% of the variance, with adequate goodness-of-fit statistics (CFI = 0.87; TLI = 0.85; SRMR = 0.07) and internally reliable factors (Affective impact, Risk CVD, Changed self-concept, CVD group identity, Risk non-communicable disease, Anticipated regret). The CardiacLCI-scale (α = 0.81) revealed an 11-item two-factor structure explaining 51.5% of the variance, with adequate model fit (CFI = 0.92; TLI = 0.90; SRMR = 0.08) and internally reliable factors (Event-related lifestyle change and General healthy lifestyle). The scales may be used to expand knowledge around life events as TMs and to support conversation regarding lifestyle after cardiac and other life events.

SUBMITTER: Brust M

PROVIDER: S-EPMC9254119 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:IntroductionThis study examines the uptake of a clinician-focused teachable moment communication process (TMCP) and its impact on patient receipt of tobacco cessation support. The TMCP is a counseling method that uses patient concerns to help clinicians guide behavior change discussions about tobacco. We evaluate the added value of the TMCP training in a health system that implemented an Ask-Advise-Connect (AAC) systems-based approach.MethodsA stepped wedge cluster randomized trial included eight community health centers. Training involved a web module and onsite skill development with standardized patients and coaching. Main outcome measures included contact and enrollment in cessation services among patients referred for counseling, prescription of cessation medications and quit attempts.ResultsForty-four of 60 eligible clinicians received the TMCP training. Among TMCP-trained clinicians 68% used a TMCP approach (documented by flowsheet use) one or more times, with the median number of uses being 15 (IQR 2-33). Overall, the TMCP was used in 661 out of 8198 visits by smokers (8%). There was no improvement in any of the tobacco cessation assistance outcomes for the AAC + TMCP vs. the AAC only period. Visits where clinicians used the TMCP approach were associated with increased ordering of tobacco cessation medications, (OR = 2.6; 95% CI = 1.9, 3.5) and providing advice to quit OR 3.2 (95% CI 2.2, 4.7).ConclusionsDespite high fidelity to the training, uptake of the TMCP approach in routine practice was poor, making it difficult to evaluate the impact on patient outcomes. When the TMCP approach was used, ordering tobacco cessation medications increased.ImplicationsTobacco cessation strategies in primary care have the potential to reach a large portion of the population and deliver advice tailored to the patient. The poor uptake of the approach despite high training fidelity suggests that additional implementation support strategies, are needed to increase sustainable adoption of the TMCP approach.Trial registrationclinicaltrials.gov #NCT02764385 , registration date 06/05/2016.

Project description:INTRODUCTION:Little is known about whether patients and physicians perceive lung cancer screening (LCS) as a teachable moment to promote smoking cessation or the degree to which physicians in "real world" settings link LCS discussions with smoking cessation counseling. We sought to characterize patient and physician perspectives of discussions about smoking cessation during LCS. METHODS:We conducted a qualitative study (interviews and focus groups) with 21 physicians and 28 smokers screened in four diverse hospitals. Transcripts were analyzed for characteristics of communication about smoking cessation and LCS, the perceived effect on motivation to quit smoking, the degree to which physicians leverage LCS as a teachable moment to promote smoking cessation, and suggestions to improve patient-physician communication about smoking cessation in the context of LCS. RESULTS:Patients reported that LCS made them more cognizant of the health consequences of smoking, priming them for a teachable moment. While physicians and patients both acknowledged that smoking cessation counseling was frequent, they described little connection between their discussions regarding LCS and smoking cessation counseling. Physicians identified several barriers to integrating discussions on smoking cessation and LCS. They volunteered communication strategies by which LCS could be leveraged to promote smoking cessation. CONCLUSIONS:LCS highlights the harms of smoking to patients who are chronic, heavy smokers and thus may serve as a teachable moment for promoting smoking cessation. However, this opportunity is typically missed in clinical practice. IMPLICATIONS:LCS highlights the harms of smoking to heavily addicted smokers. Yet both physicians and patients reported little connection between LCS and tobacco treatment discussions due to multiple barriers. On-site tobacco treatment programs and post-screening messaging tailored to the LCS results are needed to maximize the health outcomes of LCS, including smoking quit rates and longer-term smoking-related morbidity and mortality.

Project description:Effective clinician-patient communication about health behavior change is one of the most important and most overlooked strategies to promote health and prevent disease. Existing guidelines for specific health behavior counseling have been created and promulgated, but not successfully adopted in primary care practice. Building on work focused on creating effective clinician strategies for prompting health behavior change in the primary care setting, we developed an intervention intended to enhance clinician communication skills to create and act on teachable moments for smoking cessation. In this manuscript, we describe the development and implementation of the Teachable Moment Communication Process (TMCP) intervention and the baseline characteristics of a group randomized trial designed to evaluate its effectiveness.This group randomized trial includes thirty-one community-based primary care clinicians practicing in Northeast Ohio and 840 of their adult patients. Clinicians were randomly assigned to receive either the Teachable Moments Communication Process (TMCP) intervention for smoking cessation, or the delayed intervention. The TMCP intervention consisted of two, 3-hour educational training sessions including didactic presentation, skill demonstration through video examples, skills practices with standardized patients, and feedback from peers and the trainers. For each clinician enrolled, 12 patients were recruited for two time points. Pre- and post-intervention data from the clinicians, patients and audio-recorded clinician?patient interactions were collected. At baseline, the two groups of clinicians and their patients were similar with regard to all demographic and practice characteristics examined. Both physician and patient recruitment goals were met, and retention was 96% and 94% respectively.Findings support the feasibility of training clinicians to use the Teachable Moments Communication Process. The next steps are to assess how well clinicians employ these skills within their practices and to assess the effect on patient outcomes.ClinicalTrials.gov Identifier: NCT01575886.

Project description:Importance:Clinical domain knowledge about diseases and their comorbidities, severity, treatment pathways, and outcomes can facilitate diagnosis, enhance preventive strategies, and help create smart evidence-based practice guidelines. Objective:To introduce a new representation of patient data called disease severity hierarchy that leverages domain knowledge in a nested fashion to create subpopulations that share increasing amounts of clinical details suitable for risk prediction. Design, Setting, and Participants:This retrospective cohort study included 51?969 patients aged 45 to 85 years, with 10?674 patients who received primary care at the Mayo Clinic between January 2004 and December 2015 in the training cohort and 41?295 patients who received primary care at Fairview Health Services from January 2010 to December 2017 in the validation cohort. Data were analyzed from May 2018 to December 2019. Main Outcomes and Measures:Several binary classification measures, including the area under the receiver operating characteristic curve (AUC), Gini score, sensitivity, and positive predictive value, were used to evaluate models predicting all-cause mortality and major cardiovascular events at ages 60, 65, 75, and 80 years. Results:The mean (SD) age and proportions of women and white individuals were 59.4 (10.8) years, 6324 (59.3%) and 9804 (91.9%), respectively, in the training cohort and 57.4 (7.9) years, 21?975 (53.1%), and 37?653 (91.2%), respectively, in the validation cohort. During follow-up, 945 patients (8.9%) in the training cohort died, while 787 (7.4%) had major cardiovascular events. Models using the new representation achieved AUCs for predicting death in the training cohort at ages 60, 65, 75, and 80 years of 0.96 (95% CI, 0.94-0.97), 0.96 (95% CI, 0.95-0.98), 0.97 (95% CI, 0.96-0.98), and 0.98 (95% CI, 0.98-0.99), respectively, while standard methods achieved modest AUCs of 0.67 (95% CI, 0.55-0.80), 0.66 (95% CI, 0.56-0.79), 0.64 (95% CI, 0.57-0.71), and 0.63 (95% CI, 0.54-0.70), respectively. Conclusions and Relevance:In this study, the proposed patient data representation accurately predicted the age at which a patient was at risk of dying or developing major cardiovascular events substantially better than standard methods. The representation uses known relationships contained in electronic health records to capture disease severity in a natural and clinically meaningful way. Furthermore, it is expressive and interpretable. This novel patient representation can help to support critical decision-making, develop smart guidelines, and enhance health care and disease management by helping to identify patients with high risk.

Dataset Information

The development and validation of scales to measure the presence of a teachable moment following a cardiovascular disease event.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets