Ready, Set, Goal: A Mixed Methods Study of a Goal-Setting Intervention on 2 Competency-Based Geriatric Medicine Rotations.

Background More research is required to understand the effects of implementing structured goal-setting on trainee engagement in competency-based clinical learning environments. Objective To explore how residents experienced a rotation-specific goal-setting intervention on geriatric medicine rotations at 2 hospitals. Methods All rotating residents were expected to complete the intervention, consisting of a SMART-based (Specific, Measurable, Achievable, Relevant, and Time-Bound) goal-setting form and feedback sessions with teaching faculty. From November 2019 to June 2021, we recruited a convenience sample of rotating residents. Study participants completed pre- and postrotation 35-item Dutch Residency Educational Climate Test (D-RECT) questionnaires to compare scores from their rotation before the geriatric rotation and a postrotation semistructured interview, which we transcribed and analyzed using principles of constant comparison and reflexive thematic analysis. Results We interviewed 12 of 58 (20.7%) residents participating in the goal-setting intervention, 11 of whom completed both D-RECT questionnaires. Participants' D-RECT scores favored the geriatric medicine rotation versus the immediately preceding clinical rotation (M=4.29±0.37; M=3.84±0.44, P=.002). Analyses of interview transcripts yielded 3 themes on how participants perceived the intervention influenced their learning experience: (1) structured forms and processes mediate, inform, and constrain goal selection; (2) interactions with faculty, patients, and system factors influenced goal enactment; and (3) unstructured assessments led to uncertainty around goal achievement. Challenges included time restrictions and unpredictable clinical opportunities. Conclusions Goal-setting appeared to help many residents direct their learning efforts and engage in collaborative processes with teaching faculty. We identified challenges limiting residents' engagement with the goal-setting intervention, which may inform the practical implementation of goal-setting in other competency-based curricula.

Characterizing medical patients with delirium: A cohort study comparing ICD-10 codes and a validated chart review method.

BACKGROUND: Delirium is a major cause of preventable mortality and morbidity in hospitalized adults, but accurately determining rates of delirium remains a challenge. OBJECTIVE: To characterize and compare medical inpatients identified as having delirium using two common methods, administrative data and retrospective chart review. METHODS: We conducted a retrospective study of 3881 randomly selected internal medicine hospital admissions from six acute care hospitals in Toronto and Mississauga, Ontario, Canada. Delirium status was determined using ICD-10-CA codes from hospital administrative data and through a previously validated chart review method. Baseline sociodemographic and clinical characteristics, processes of care and outcomes were compared across those without delirium in hospital and those with delirium as determined by administrative data and chart review. RESULTS: Delirium was identified in 6.3% of admissions by ICD-10-CA codes compared to 25.7% by chart review. Using chart review as the reference standard, ICD-10-CA codes for delirium had sensitivity 24.1% (95%CI: 21.5-26.8%), specificity 99.8% (95%CI: 99.5-99.9%), positive predictive value 97.6% (95%CI: 94.6-98.9%), and negative predictive value 79.2% (95%CI: 78.6-79.7%). Age over 80, male gender, and Charlson comorbidity index greater than 2 were associated with misclassification of delirium. Inpatient mortality and median costs of care were greater in patients determined to have delirium by ICD-10-CA codes (5.8% greater mortality, 95% CI: 2.0-9.5 and $6824 greater cost, 95%CI: 4713-9264) and by chart review (11.9% greater mortality, 95%CI: 9.5-14.2% and $4967 greater cost, 95%CI: 4415-5701), compared to patients without delirium. CONCLUSIONS: Administrative data are specific but highly insensitive, missing most cases of delirium in hospital. Mortality and costs of care were greater for both the delirium cases that were detected and missed by administrative data. Better methods of routinely measuring delirium in hospital are needed.

Goal-Setting on a Geriatric Medicine Rotation: A Pilot Study.

BACKGROUND: Formal goal-setting has been shown to enhance performance and improve educational experiences. We initiated a standardized goal-setting intervention for all residents rotating through a Geriatric Medicine rotation. OBJECTIVES: This study aims to describe the feasibility of a goal-setting intervention on a geriatric medicine rotation, the resources required, and the barriers to implementation. As well, this study aims to describe the learning goals residents created regarding content and quality. METHODS: A pilot goal-setting intervention was initiated. A goal-setting form was provided at the beginning of their rotation and reviewed at the end of the rotation. Residents were invited to complete an anonymous online survey to gather feedback on the initiative. Goals were analysed for content and quality. Feedback from the survey results was incorporated into the goal-setting process. RESULTS: Between March and December 2018, 26 of 44 residents completed the goal-setting initiative. Explanations for the poor adherence included limited protected time for faculty and residents to engage in coaching, its voluntary nature, and trainee absence during orientation. Reasons for difficulty in achieving goals included lack of faculty and trainee time and difficulty assisting residents in achieving goals when no clinical opportunities arose. Although only 59% of residents completed the intervention, if goal-setting took place, most of the goals were specific (71 of 77; 92%) and 35 of 77 (45.5%) goals were not related to medical knowledge. CONCLUSIONS: This pilot study outlines the successes and barriers of a brief goal-setting intervention during a Geriatric Medicine rotation. Adherence was limited; however, of those who did complete the intervention, the creation of specific goals with a short, structured goal-setting form was possible. To enhance the intervention, goal-setting form completion should be enforced and efforts should be made to engage in mid-rotation check-ins and coaching.

The value of screening for cognition, depression, and frailty in patients referred for TAVI.

Background: Current surgical risk assessment tools fall short of appreciating geriatric risk factors including cognitive deficits, depressive, and frailty symptoms that may worsen outcomes post-transcatheter aortic valve implantation (TAVI). This study hypothesized that a screening tool, SMARTIE, would improve detection of these risks pre-TAVI, and thus be predictive of postoperative delirium (POD) and 30-day mortality post-TAVI. Design: Prospective observational cohort study, using a historical cohort for comparison. Participants: A total of 234 patients (age: 82.2±6.7 years, 59.4% male) were included. Half were screened using SMARTIE. Methods: The SMARTIE cohort was assessed for cognitive deficits and depressive symptoms using the Mini-Cog test and PHQ-2, respectively. Measures of frailty included activities of daily living inventory, the Timed Up and Go test and grip strength. For the pre-SMARTIE cohort, we extracted cognitive deficits, depression and frailty symptoms from clinic charts. The incidence of POD and 30-day mortality were recorded. Bivariate chi-square analysis or t-tests were used to report associations between SMARTIE and pre-SMARTIE groups. Multivariable logistic regression models were employed to identify independent predictors of POD and 30-day mortality. Results: More patients were identified with cognitive deficits (χ2=11.73, p=0.001), depressive symptoms (χ2=8.15, p=0.004), and physical frailty (χ2=5.73, p=0.017) using SMARTIE. Cognitive deficits were an independent predictor of POD (OR: 8.4, p<0.01) and 30-day mortality (OR: 4.04, p=0.03). Conclusion: This study emphasized the value of screening for geriatric risk factors prior to TAVI by demonstrating that screening increased identification of at-risk patients. It also confirmed findings that cognitive deficits are predictive of POD and mortality following TAVI.

The Top Articles in Geriatrics 2016-2017.

We present the top 11 articles in geriatric medicine in the past two years. The topics range from new diagnostic criteria for Lewy Body dementia, advances in biomarker diagnosis of Alzheimer's disease, a major review of dementia and risk factors, the optimal cutoff for the Montreal Cognitive Assessment, antipsychotics in delirium prevention, mobilization of inpatients, intensive blood pressure treatment and statin therapy for primary prevention in older adults, and comprehensive geriatric assessment in vascular surgery and non-small cell lung cancer.

Cognitive Outcomes After Transcatheter Aortic Valve Implantation: A Metaanalysis.

OBJECTIVES: To quantitatively summarize changes in cognitive performance in individuals with severe aortic stenosis undergoing transcatheter aortic valve implantation (TAVI). DESIGN: Metaanalysis. PARTICIPANTS: Individuals undergoing TAVI (N = 1,065 (48.5% male) from 18 studies, average age ≥80). MEASUREMENTS: The MEDLINE, EMBASE, and Cochrane Central databases were searched for original peer-reviewed reports assessing cognitive performance using standardized cognitive tests before and after TAVI. Data were extracted for cognitive scores before TAVI; perioperatively (within 7 days after TAVI); 1, 3, and 6 months after TAVI, and 12 to 34 months after TAVI (over the long term). Standardized mean differences (SMDs) were generated using random-effects models for changes in cognition at each time point. Metaregression analyses were conducted to assess the association between population and procedural characteristics and cognitive outcomes. Risk of bias was assessed. RESULTS: There were no significant changes from baseline in perioperative cognitive performance (SMD = 0.05, 95% confidence interval (CI) = -0.08-0.18; z = 0.75, P = .46), although overall cognitive performance had improved significantly 1 month after TAVI (SMD = -0.33, 95% CI = -0.50 to -0.16; z = 3.83, P < .001). There were no differences in cognitive performance 3 and 6 months after TAVI or over the long term. Cognitive outcomes were not associated with any covariates in regression analyses. CONCLUSION: Cognitive performance is preserved after TAVI, suggesting TAVI is not detrimental to cognition.