Faculty Bibliography
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department:Medicine. General Internal Medicine
recentyears:2
school:SOM
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Journal of obstetric, gynecologic, & neonatal nursing. 2022:51(4):388-401.DOI: 10.1016/j.jogn.2022.04.005
Dimensional Analysis of Shared Decision Making in Contraceptive Counseling
OBJECTIVE:To conduct a dimensional analysis to identify conceptual gaps around shared decision making (SDM) in reproductive health care and to refine the conceptual definition of SDM as related to contraceptive counseling. DATA SOURCES:We identified source data through systematic searches of the CINAHL and PubMed databases. STUDY SELECTION:We included peer-reviewed research and nonresearch articles that addressed contraceptive counseling for pregnancy prevention in the United States. We did not consider date of publication as an inclusion criterion. We included 35 articles in the final review. DATA EXTRACTION:Using dimensional analysis, we extracted data to clarify the definition of SDM as a socially constructed concept that varies by perspective and context. DATA SYNTHESIS:Data synthesis enabled us to compare SDM from patient and provider perspectives and to identify four primary dimensions of SDM that varied by context: Patient Preferences, Relationship, Provider Bias, and Clinical Suitability. CONCLUSION:The four dimensions we identified illustrate the complexity and depth of SDM in contraceptive counseling encounters and broaden the definition of SDM to more than an encounter in which decision making incorporates clinician expertise and patient participation. We identified several assumptions that indicate the need for improved understanding that SDM is not a universal concept across perspectives and contexts. Most researchers in the included articles addressed the Patient Preferences dimension. Fewer considered the patient-provider relationship, the effect of provider bias, and the effect of specific clinical circumstances on SDM. We propose a conceptual map and model that can be used to refine the concepts that inform SDM and guide providers and researchers. Future research is needed to address the remaining gaps.
PMID: 35605641
ISSN: 1552-6909
CID: 5388052
Associations between the Veteran Health Administration's Life-Sustaining Treatment Decisions Initiative and Quality of Care at the End of Life
PMID: 35020477
ISSN: 1557-7740
CID: 5118792
Clinician Attitudes and Beliefs Associated with More Aggressive Diagnostic Testing
BACKGROUND:Variation in clinicians' diagnostic test utilization is incompletely explained by demographics and likely relates to cognitive characteristics. We explored clinician factors associated with diagnostic test utilization METHODS: We used a self-administered survey of attitudes, cognitive characteristics, and reported likelihood of test ordering in common scenarios; frequency of lipid and liver testing in patients on statin therapy. Participants were 552 primary care physicians, nurse practitioners, and physician assistants from practices in 8 US states across 3 regions, from June 1, 2018 to November 26, 2019. We measured Testing Likelihood Score: the mean of 4 responses to testing frequency and self-reported testing frequency in patients on statins. RESULTS:Respondents were 52.4% residents, 36.6% attendings, and 11.0% nurse practitioners/physician assistants; most were white (53.6%) or Asian (25.5%). Median age was 32 years; 53.1% were female. Participants reported ordering tests for a median of 20% (stress tests) to 90% (mammograms) of patients; Testing Likelihood Scores varied widely (median 54%, interquartile range 43%-69%). Higher scores were associated with geography, training type, low numeracy, high malpractice fear, high medical maximizer score, high stress from uncertainty, high concern about bad outcomes, and low acknowledgment of medical uncertainty. More frequent testing of lipids and liver tests was associated with low numeracy, high medical maximizer score, high malpractice fear, and low acknowledgment of uncertainty. CONCLUSIONS:Clinician variation in testing was common, with more aggressive testing consistently associated with low numeracy, being a medical maximizer, and low acknowledgment of uncertainty. Efforts to reduce undue variations in testing should consider clinician cognitive drivers.
PMID: 35307357
ISSN: 1555-7162
CID: 5200372
Perceptions and behaviors of learner engagement with virtual educational platforms
BACKGROUND:The COVID-19 pandemic has increased utilization of educational technology for surgical education. Our aim was to determine attitudes and behaviors of surgical education champions towards virtual educational platforms and learner engagement. METHODS:An electronic survey was distributed to all Association of Surgical Education members addressing i) methods of engagement in virtual learning ii) ways to improve engagement and iii) what influences engagement. Stratified analysis was used to evaluate differences in responses by age, gender, level of training and specialty. RESULTS:154 ASE members completed the survey (13% response rate). 88% respondents accessed virtual learning events at home. Most (87%) had joined a virtual learning event and then participated in another activity. 1 in 5 who did this did so "always" or "often". Female respondents were more likely than males to join audio and then participate in another activity (62.3% v 37.7%, p = 0.04). CONCLUSIONS:Virtual platforms do not automatically translate into increased learner engagement. Careful design of educational strategies is essential to increase and maintain learner engagement when utilizing virtual surgical education.
PMCID:8853863
PMID: 35184816
ISSN: 1879-1883
CID: 5772332
"Should I stay or should I go?" Nurses' perspectives about working during the Covid-19 pandemic's first wave in the United States: A summative content analysis combined with topic modeling
BACKGROUND:The COVID-19 pandemic had its first peak in the United States between April and July of 2020, with incidence and prevalence rates of the virus the greatest in the northeastern coast of the country. At the time of study implementation, there were few studies capturing the perspectives of nurses working the frontlines of the pandemic in any setting as research output in the United States focused largely on treating the disease. OBJECTIVE:The purpose of this study was to capture the perspectives of nurses in the United States working the frontlines of the COVID-19 pandemic's first wave. We were specifically interested in examining the impact of the pandemic on nurses' roles, professional relationships, and the organizational cultures of their employers. DESIGN/METHODS:We conducted an online qualitative study with a pragmatic design to capture the perspectives of nurses working during the first wave of the United States COVID-19 pandemic. Through social networking recruitment, frontline nurses from across the country were invited to participate. Participants provided long form, text-based responses to four questions designed to capture their experiences. A combination of Latent Dirichlet Allocation--a natural language processing technique--along with traditional summative content analysis techniques were used to analyze the data. SETTING/METHODS:The United States during the COVID-19 pandemic's first wave between May and July of 2020. RESULTS:A total of 318 nurses participated from 29 out of 50 states, with 242 fully completing all questions. Findings suggested that the place of work mattered significantly in terms of the frontline working experience. It influenced role changes, risk assumption, interprofessional teamwork experiences, and ultimately, likelihood to leave their jobs or the profession altogether. Organizational culture and its influence on pandemic response implementation was a critical feature of their experiences. CONCLUSIONS:Findings suggest that organizational performance during the pandemic may be reflected in nursing workforce retention as the risk for workforce attrition appears high. It was also clear from the reports that nurses appear to have assumed higher occupational risks during the pandemic when compared to other providers. The 2020 data from this study also offered a number of signals about potential threats to the stability and sustainability of the US nursing workforce that are now manifesting. The findings underscore the importance of conducting health workforce research during a crisis in order to discern the signals of future problems or for long-term crisis response. TWEETABLE ABSTRACT/CONCLUSIONS:Healthcare leaders made the difference for nurses during the pandemic. How many nurses leave their employer in the next year will tell you who was good, who wasn't.
PMCID:9020864
PMID: 35544991
ISSN: 1873-491x
CID: 5249452
Pain, Analgesic Use, and Patient Satisfaction With Spinal Versus General Anesthesia for Hip Fracture Surgery : A Randomized Clinical Trial
BACKGROUND:The REGAIN (Regional versus General Anesthesia for Promoting Independence after Hip Fracture) trial found similar ambulation and survival at 60 days with spinal versus general anesthesia for hip fracture surgery. Trial outcomes evaluating pain, prescription analgesic use, and patient satisfaction have not yet been reported. OBJECTIVE:To compare pain, analgesic use, and satisfaction after hip fracture surgery with spinal versus general anesthesia. DESIGN:Preplanned secondary analysis of a pragmatic randomized trial. (ClinicalTrials.gov: NCT02507505). SETTING:46 U.S. and Canadian hospitals. PARTICIPANTS:Patients aged 50 years or older undergoing hip fracture surgery. INTERVENTION:Spinal or general anesthesia. MEASUREMENTS:Pain on postoperative days 1 through 3; 60-, 180-, and 365-day pain and prescription analgesic use; and satisfaction with care. RESULTS:A total of 1600 patients were enrolled. The average age was 78 years, and 77% were women. A total of 73.5% (1050 of 1428) of patients reported severe pain during the first 24 hours after surgery. Worst pain over the first 24 hours after surgery was greater with spinal anesthesia (rated from 0 [no pain] to 10 [worst pain imaginable]; mean difference, 0.40 [95% CI, 0.12 to 0.68]). Pain did not differ across groups at other time points. Prescription analgesic use at 60 days occurred in 25% (141 of 563) and 18.8% (108 of 574) of patients assigned to spinal and general anesthesia, respectively (relative risk, 1.33 [CI, 1.06 to 1.65]). Satisfaction was similar across groups. LIMITATION:Missing outcome data and multiple outcomes assessed. CONCLUSION:Severe pain is common after hip fracture. Spinal anesthesia was associated with more pain in the first 24 hours after surgery and more prescription analgesic use at 60 days compared with general anesthesia. PRIMARY FUNDING SOURCE:
PMID: 35696684
ISSN: 1539-3704
CID: 5277802
Preventing driveline infection during left ventricular assist device support by the HeartMate 3: A survey-based study
PURPOSE/OBJECTIVE:Driveline infection (DLI) is a significant source of morbidity and mortality during left ventricular assist device (LVAD) support yet limited studies are available to describe the center-level prevalence, preventive practices, and their potential effectiveness. METHODS:We surveyed LVAD centers in the United States to determine program burden and preventive practices for DLI during HeartMate (HM) 3 support. An online, anonymous, question-based survey was sent to expert providers at implanting centers. Only a single respondent completed the survey for each center. As an exploratory analysis, we compared specific DLI preventive practices between centers with low (≤10%) and high (>10%) reported prevalence of DLI. RESULTS:Seventy-eight centers responded to the survey (response rate: 50%). Respondents were comprised of 37 (47%) heart failure cardiologists, 27 (35%) LVAD coordinators, and 14 (18%) cardiothoracic surgeons. The prevalence of DLI during HM3 was reported as ≤10% by 27 (35%), 11%-25% by 36 (46%), and >25% by 16 (19%) centers. Thirteen (17%) centers had a body mass index threshold for device placement, 29 (37%) utilized a counter incision, 66 (81%) placed an anchor stitch, and 69 (88%) used an external device to stabilize the DL. Proportionally, more centers with a low DLI prevalence used a wound vacuum 6 (22%) versus 3 (6%, p = 0.03) than those with high DLI. CONCLUSION/CONCLUSIONS:Variation exists in reported prevalence and practices of preventing and managing driveline infections across centers during HM3 support. Further studies are warranted to develop and assess the effectiveness of standardized preventive strategies.
PMID: 35083754
ISSN: 1525-1594
CID: 5348432
Development and Validation of a Machine Learning Model for Automated Assessment of Resident Clinical Reasoning Documentation
BACKGROUND:Residents receive infrequent feedback on their clinical reasoning (CR) documentation. While machine learning (ML) and natural language processing (NLP) have been used to assess CR documentation in standardized cases, no studies have described similar use in the clinical environment. OBJECTIVE:The authors developed and validated using Kane's framework a ML model for automated assessment of CR documentation quality in residents' admission notes. DESIGN, PARTICIPANTS, MAIN MEASURES/UNASSIGNED:Internal medicine residents' and subspecialty fellows' admission notes at one medical center from July 2014 to March 2020 were extracted from the electronic health record. Using a validated CR documentation rubric, the authors rated 414 notes for the ML development dataset. Notes were truncated to isolate the relevant portion; an NLP software (cTAKES) extracted disease/disorder named entities and human review generated CR terms. The final model had three input variables and classified notes as demonstrating low- or high-quality CR documentation. The ML model was applied to a retrospective dataset (9591 notes) for human validation and data analysis. Reliability between human and ML ratings was assessed on 205 of these notes with Cohen's kappa. CR documentation quality by post-graduate year (PGY) was evaluated by the Mantel-Haenszel test of trend. KEY RESULTS/RESULTS:The top-performing logistic regression model had an area under the receiver operating characteristic curve of 0.88, a positive predictive value of 0.68, and an accuracy of 0.79. Cohen's kappa was 0.67. Of the 9591 notes, 31.1% demonstrated high-quality CR documentation; quality increased from 27.0% (PGY1) to 31.0% (PGY2) to 39.0% (PGY3) (p < .001 for trend). Validity evidence was collected in each domain of Kane's framework (scoring, generalization, extrapolation, and implications). CONCLUSIONS:The authors developed and validated a high-performing ML model that classifies CR documentation quality in resident admission notes in the clinical environment-a novel application of ML and NLP with many potential use cases.
PMCID:9296753
PMID: 35710676
ISSN: 1525-1497
CID: 5277902
A novel simulation-based approach to training for recruitment of older adults to clinical trials
BACKGROUND:The need to engage adults, age 65 and older, in clinical trials of conditions typical in older populations, (e.g. hypertension, diabetes mellitus, Alzheimer's disease and related dementia) is exponentially increasing. Older adults have been markedly underrepresented in clinical trials, often exacerbated by exclusionary study criteria as well as functional dependencies that preclude participation. Such dependencies may further exacerbate communication challenges. Consequently, the evidence of what works in subject recruitment is less generalizable to older populations, even more so for those from racial and ethnic minority and low-income communities. METHODS:To support capacity of research staff, we developed a virtual, three station simulation (Group Objective Structured Clinical Experience-GOSCE) to teach research staff communication skills. This 2-h course included a discussion of challenges in recruiting older adults; skills practice with Standardized Participants (SPs) and faculty observer who provided immediate feedback; and debrief to highlight best practices. Each learner had opportunities for active learning and observational learning. Learners completed a retrospective pre-post survey about the experience. SP completed an 11-item communication checklist evaluating the learner on a series of established behaviorally anchored communication skills (29). RESULTS:In the research staff survey, 92% reported the overall activity taught them something new; 98% reported it provided valuable feedback; 100% said they would like to participate again. In the SP evaluation there was significant variation: the percent well-done of items by case ranged from 25-85%. CONCLUSIONS:Results from this pilot suggest that GOSCEs are a (1) acceptable; (2) low cost; and (3) differentiating mechanism for training and assessing research staff in communication skills and structural competency necessary for participant research recruitment.
PMCID:9238219
PMID: 35764920
ISSN: 1471-2288
CID: 5278202
Mapping hospital data to characterize residents' educational experiences
BACKGROUND:Experiential learning through patient care is fundamental to graduate medical education. Despite this, the actual content to which trainees are exposed in clinical practice is difficult to quantify and is poorly characterized. There remains an unmet need to define precisely how residents' patient care activities inform their educational experience. METHODS: Using a recently-described crosswalk tool, we mapped principal ICD-10 discharge diagnosis codes to American Board of Internal Medicine (ABIM) content at four training hospitals of a single Internal Medicine (IM) Residency Program over one academic year to characterize and compare residents' clinical educational experiences. Frequencies of broad content categories and more specific condition categories were compared across sites to profile residents' aggregate inpatient clinical experiences and drive curricular change. RESULTS:There were 18,604 discharges from inpatient resident teams during the study period. The crosswalk captured > 95% of discharges at each site. Infectious Disease (ranging 17.4 to 39.5% of total discharges) and Cardiovascular Disease (15.8 to 38.2%) represented the most common content categories at each site. Several content areas (Allergy/Immunology, Dermatology, Obstetrics/Gynecology, Ophthalmology, Otolaryngology/Dental Medicine) were notably underrepresented (≤ 1% at each site). There were significant differences in the frequencies of conditions within most content categories, suggesting that residents experience distinct site-specific clinical content during their inpatient training. CONCLUSIONS:There were substantial differences in the clinical content experienced by our residents across hospital sites, prompting several important programmatic and curricular changes to enrich our residents' hospital-based educational experiences.
PMCID:9233374
PMID: 35752814
ISSN: 1472-6920
CID: 5278172
