Patient Vignettes Research Articles

Differences in provider approach to initiating and titrating guideline directed medical therapy in heart failure with reduced ejection fraction

BackgroundDespite the strong evidence supporting guideline-directed medical therapy (GDMT) in patients with heart failure with reduced ejection fraction (HFrEF), prescription rates in clinical practice are still lacking.MethodsA survey containing 20 clinical vignettes of patients with HFrEF was answered by a national sample of 127 cardiologists and 68 internal/family medicine physicians. Each vignette had 4–5 options for adjusting GDMT and the option to make no medication changes. Survey respondents could only select one option. For analysis, responses were dichotomized to the answer of interest.ResultsCardiologists were more likely to make GDMT changes than general medicine physicians (91.8% vs. 82.0%; OR 1.84 [1.07–3.19]; p = 0.020). Cardiologists were more likely to initiate beta-blockers (46.3% vs. 32.0%; OR 2.38 [1.18–4.81], p = 0.016), angiotensin receptor blocker/neprilysin inhibitor (ARNI) (63.8% vs. 48.1%; OR 1.76 [1.01–3.09], p = 0.047), and hydralazine and isosorbide dinitrate (HYD/ISDN) (38.2% vs. 23.7%; OR 2.47 [1.48–4.12], p < 0.001) compared to general medicine physicians. No differences were found in initiating angiotensin-converting enzyme inhibitor/angiotensin receptor blocker (ACEi/ARBs), initiating mineralocorticoid receptor antagonist (MRA), sodium-glucose transporter protein 2 (SGLT2) inhibitors, digoxin, or ivabradine.ConclusionsOur results demonstrate cardiologists were more likely to adjust GDMT than general medicine physicians. Future focus on improving GDMT prescribing should target providers other than cardiologists to improve care in patients with HFrEF.

The Role of Genetic Testing in Adult CKD.

Mounting evidence indicates that monogenic disorders are the underlying cause in a significant proportion of patients with CKD. In recent years, the diagnostic yield of genetic testing in these patients has increased significantly as a result of revolutionary developments in genetic sequencing techniques and sequencing data analysis. Identification of disease-causing genetic variant(s) in patients with CKD may facilitate prognostication and personalized management, including nephroprotection and decisions around kidney transplantation, and is crucial for genetic counseling and reproductive family planning. A genetic diagnosis in a patient with CKD allows for screening of at-risk family members, which is also important for determining their eligibility as kidney transplant donors. Despite evidence for clinical utility, increased availability, and data supporting the cost-effectiveness of genetic testing in CKD, especially when applied early in the diagnostic process, many nephrologists do not use genetic testing to its full potential because of multiple perceived barriers. Our aim in this article was to empower nephrologists to (further) implement genetic testing as a diagnostic means in their clinical practice, on the basis of the most recent insights and exemplified by patient vignettes. We stress why genetic testing is of significant clinical benefit to many patients with CKD, provide recommendations for which patients to test and which test(s) to order, give guidance about interpretation of genetic testing results, and highlight the necessity for and essential components of pretest and post-test genetic counseling.

The influence of low back pain-related attitudes and beliefs on the clinical decision making of physical therapists

ABSTRACT Background The LBP-related attitudes and beliefs of clinicians may impact the experience of patients by influencing clinician decision-making and by shaping the attitudes, beliefs, and actions of patients. The purpose of this study was to identify the specific LBP-related attitudes and beliefs of US-based physical therapists and determine if those beliefs correlate with clinical decision-making. Methods An electronic survey was sent to US-based physical therapists. Attitudes and beliefs were measured using the Health Care Providers’ Pain and Impairment Relationship Scale (HC-PAIRS) and the Pain and Impairment Relationship Scale for Physiotherapists (PABS-PT). The survey also included 2 patient vignettes that collected information about clinical decision-making. Results Complete survey responses were recorded from 420 physical therapists. Eleven of the 27 attitude and beliefs questions were answered in a more biomedically oriented way by at least 20% of respondents. Physical therapist low back pain-related attitudes and beliefs were associated with activity and management strategies for both vignettes in the expected direction. Higher scores on HC-PAIRS and PABS-BM were associated with more restrictive work and activity recommendations, lower-intensity exercise choices, biomechanical rationale for manual therapy and motor control exercises, pathoanatomical-focused education, and use of modalities. Conclusion Some physical therapists hold biomedically oriented beliefs about the connection between pain and physical activity. Clinician beliefs were associated with activity and work recommendations, and treatment choices. Physical therapists with more biomedically oriented beliefs were more likely to limit physical activity and work, and less likely to incorporate psychologically informed interventions.

CHRONIC LOW BACK PAIN: BARRIERS AND ENABLERS OF EXERCISE-BASED CLINICIANS TO IMPLEMENTING EVIDENCE-BASED PRACTICE

INTRODUCTION Chronic low back pain (CLBP) is the leading cause of years lived with disability. Exercise, integrated with a biopsychosocial framework, is a first-line treatment for CLBP. Exercise physiologists and physiotherapists are allied health clinicians trained to provide exercise treatment through evidence-based practice (EBP). Research indicates the implementation of EBP remains low, impacting the quality of care provided to patients, which can perpetuate the impacts of CLBP. Given the role of exercise physiologists and physiotherapists in CLBP treatment, it is necessary to investigate their perceived barriers and enablers to implementing best quality care through EBP. METHODS Participants completed a pre-interview questionnaire, which gathered data about demographics, further education, biomedical/biopsychosocial beliefs and two patient vignettes. This data was analysed using descriptive statistics. Semi-structured interviews investigated participants’ barriers and enablers to implementing EBP. This data was analysed through reflexive thematic analysis. RESULTS Exercise physiologists and physiotherapists misunderstand the definition of EBP. Barriers and enablers existed at clinician-patient, workplace, and system levels, often overlapping. Barriers comprised of unpacking inaccurate messages from other healthcare professionals, patient expectations and beliefs, profit-focused business models, insufficient clinician education, and inadequate funding. Enablers encompassed upskilling with further education, a collaborative community, clinician autonomy, extended consultations, and support from other healthcare professionals. CONCLUSIONS Multi-level barriers and enablers affect exercise physiologists and physiotherapists use of EBP. Similar barriers and enablers between professions suggest systemic influences outweigh profession-specific influences. To improve the implementation of EBP, both clinician factors and deeper systemic factors must be addressed.

ARE THE ATTITUDES AND BELIEFS OF AUSTRALIAN EXERCISE-BASED PRACTITIONERS ASSOCIATED WITH THEIR USE OF, AND CONFIDENCE IN, TREATMENT MODALITIES FOR PEOPLE WITH CHRONIC LOW BACK PAIN?

BACKGROUND Practitioners’ attitudes and beliefs towards chronic low back pain (CLBP) influence their clinical decision making, but few studies have investigated decision making outside the context of patient vignettes, for a range of first- and second-line treatment options for CLBP, or in Accredited Exercise Physiologists (AEPs). METHODS Using an online survey, Australian AEPs and physiotherapists rated their use of different treatments for CLBP (exercise, education, manual therapy, cognitive behavioural therapy) and their confidence in these treatments for reducing pain and disability. Their biomedical and biopsychosocial beliefs were also assessed using the Pain and Attitudes Beliefs Scale for Physiotherapists. Differences between disciplines in treatment use and confidence were analysed using Mann-Whitney U tests and independent t-tests, respectively. Multiple linear regression was used to explore factors associated with treatment choices. RESULTS Two-hundred thirty-three practitioners (n=143 physiotherapists, n=90 AEPs) completed the survey. Most practitioners were confident treating CLBP, had a moderate-high level of confidence in the different treatments, and regularly used them in practice. Practitioners with higher biomedical beliefs had greater use of, and confidence in, specific exercise, manual therapy, and combined exercise and manual therapy. Practitioners with higher biopsychosocial beliefs were more confident in general exercise, cognitive behavioural therapy, pain education and combined exercise and pain education. CONCLUSION Practitioner beliefs influence their use of, and confidence in, different treatments for CLBP. These findings suggest a need for strategies to enhance biopsychosocial beliefs/reduce biomedical beliefs in Australian exercise-based practitioners.

Understanding How Clinicians Personalize Fluid and Vasopressor Decisions in Early Sepsis Management

Recent sepsis trials suggest that fluid-liberal vs fluid-restrictive resuscitation has similar outcomes. These trials used generalized approaches to resuscitation, and little is known about how clinicians personalize fluid and vasopressor administration in practice. To understand how clinicians personalize decisions about resuscitation in practice. This survey study of US clinicians in the Society of Critical Care Medicine membership roster was conducted from November 2022 to January 2023. Surveys contained 10 vignettes of patients with sepsis where pertinent clinical factors (eg, fluid received and volume status) were randomized. Respondents selected the next steps in management. Data analysis was conducted from February to September 2023. Online Qualtrics clinical vignette survey. Using multivariable logistic regression, the associations of clinical factors with decisions about fluid administration, vasopressor initiation, and vasopressor route were tested. Results are presented as adjusted proportions with 95% CIs. Among 11 203 invited clinicians, 550 (4.9%; 261 men [47.5%] and 192 women [34.9%]; 173 with >15 years of practice [31.5%]) completed at least 1 vignette and were included. A majority were physicians (337 respondents [61.3%]) and critical care trained (369 respondents [67.1%]). Fluid volume already received by a patient was associated with resuscitation decisions. After 1 L of fluid, an adjusted 82.5% (95% CI, 80.2%-84.8%) of respondents prescribed additional fluid and an adjusted 55.0% (95% CI, 51.9%-58.1%) initiated vasopressors. After 5 L of fluid, an adjusted 17.5% (95% CI, 15.1%-19.9%) of respondents prescribed more fluid while an adjusted 92.7% (95% CI, 91.1%-94.3%) initiated vasopressors. More respondents prescribed fluid when the patient examination found dry vs wet (ie, overloaded) volume status (adjusted proportion, 66.9% [95% CI, 62.5%-71.2%] vs adjusted proportion, 26.5% [95% CI, 22.3%-30.6%]). Medical history, respiratory status, lactate trend, and acute kidney injury had small associations with fluid and vasopressor decisions. In 1023 of 1127 vignettes (90.8%) where the patient did not have central access, respondents were willing to start vasopressors through a peripheral intravenous catheter. In cases where patients were already receiving peripheral norepinephrine, respondents were more likely to place a central line at higher norepinephrine doses of 0.5 µg/kg/min (adjusted proportion, 78.0%; 95% CI, 74.7%-81.2%) vs 0.08 µg/kg/min (adjusted proportion, 25.2%; 95% CI, 21.8%-28.5%) and after 24 hours (adjusted proportion, 59.5%; 95% CI, 56.6%-62.5%) vs 8 hours (adjusted proportion, 47.1%; 95% CI, 44.0%-50.1%). These findings suggest that fluid volume received is the predominant factor associated with ongoing fluid and vasopressor decisions, outweighing many other clinical factors. Peripheral vasopressor use is common. Future studies aimed at personalizing resuscitation must account for fluid volumes and should incorporate specific tools to help clinicians personalize resuscitation.

Diagnosis of Deep Vein Thrombosis in Outpatients With Musculoskeletal Disorders: A Survey of Orthopaedic and Sports Academies

PURPOSE: Venous thromboembolism can present as either a deep vein thrombosis (DVT) or a pulmonary embolism. The purpose of this study was to determine if there was a difference in physical therapists' estimation of the probability of a patient having a DVT in patient vignettes as compared with the modified Wells criteria prediction. METHODS: Members of the American Academy of Orthopaedics, Academy of Orthopaedic Physical Therapists (AOPT), and American Academy of Sports Physical Therapy (AASPT) completed patient vignettes. Descriptive statistics were calculated, and sign tests assessed for differences between responses of the presence of DVT (likely or unlikely) and whether referral was necessary. RESULTS: Six hundred and seventy consented, and 521 completed the survey of 24,028 members from the AOPT and AASPT. In total, 7.2% did not feel competent to screen for DVT. Descriptive statistics revealed difficulty in determining whether a DVT was likely or unlikely in 4/5 vignettes as compared with the modified Wells criteria, with only vignette 2 having 95.9% correctly answering as DVT being unlikely. In the other 4 vignettes, approximately 60% to 70% of respondents estimated DVT to be likely, despite 2 of these being unlikely. Across the vignettes, between 2.3% and 19.2% more respondents chose to refer when they determined if a DVT was likely. Across vignettes, statistically significant differences between DVT being likely or unlikely and decision to refer were present. Respondents consistently chose to refer even when a DVT was unlikely (P &lt; .001 for vignettes 1, 3–5. P = .038 for vignette 2). CONCLUSIONS: Venous thromboembolisms are potentially life-threatening conditions seen by physical therapists. Members of the AOPT and AASPT have difficulty in determining the presence or absence of DVT in clinical case vignettes, with some demonstrating a conservative management decision to refer despite low probability of DVT. Efforts to educate members should be considered to improve the understanding of DVT assessment. Clinical Pearls: Members of the AOPT and AASPT appear to have difficulty in determining the presence of a DVT in clinical patient vignettes. Respondents chose to refer patients perhaps with conservative caution. Efforts to educate therapists should be considered to improve the understanding of DVT assessment.

Cost of treating rheumatoid arthritis in the primary care public health system in Ireland: A time-driven activity-based cost analysis

BackgroundChronic diseases are at epidemic proportions and continuing to increase in both incidence and prevalence globally. Therefore, there is a growing need to assess and improve on the value currently provided within chronic care pathways. Examining the costs associated with care pathways is a critical part of assessing this value in order to better understand and introduce potential cost-saving interventions. ObjectivesExamining one such chronic disease, Rheumatoid Arthritis (RA), this study aimed to assess the cost associated with RA in primary care within the Health Service Executive (HSE) in Ireland. MethodsFollowing mapping of the care pathway, patient vignettes based on exemplar RA patient types were used to conduct semi-structed interviews with every member (N = 21) of the primary care RA pathway. Time-Driven Activity-Based Costing (TDABC) was then used to calculate the overall cost of each patient (vignette) type. ResultsRA is an expensive condition regardless of disease stage. However, newly diagnosed patients as well as those with advanced disease in need of surgical interventions demonstrated the highest costs in terms of primary care personnel use. Additionally, patients prescribed Biological Disease-Modifying Anti-Rheumatic Drugs (bDMARDs) cost significantly more than those on Conventional Synthetic Disease-Modifying Anti-Rheumatic Drugs (csDMARDs) regardless of disease stage or personnel resource use. ConclusionRA and a subset of RA patients that exert the highest healthcare costs are growing in prevalence. Therefore, this study contributes by assessing the costs associated with RA in HSE primary care that can facilitate better understanding the current value being provided and improve upon the current care pathway to cut future costs.

Addiction to budda blues : About 2 clinical cases

IntroductionBuddha Blue, or PTC for “Pète Ton Crâne”, is a synthetic drug particularly popular with young people. It is sold as a liquid to be inhaled in electronic cigarettes.ObjectivesTo discuss the clinical manifestations and psychopathology associated with PTC.MethodsWe shed light on PTC addiction through clinical vignettes of patients who were hospitalized in pediatrics at the Gonesse hospital.ResultsWe received two male patients with manifestations of PTC intoxication or withdrawal. One of the patients presented with an acute delirious flush requiring long-term treatment, while the second presented with somatic manifestations of pain and vomiting, as well as psychiatric manifestations such as hallucinations, without meeting the criteria for a psychiatric disorder. Both cases required addictological follow-up and child psychiatric therapy.ConclusionsPTC addiction can lead to life-threatening complications, hence the importance of prevention and screening in order to institute early and effective treatment.Disclosure of InterestNone Declared

Lessons learned from the real-world diagnosis and management of hereditary hypophosphatemic rickets

Hypophosphatemic rickets, which is often hereditary, is still under- or misdiagnosed in both children and adults, denying these individuals access to optimal management and genetic counseling. There have been recent calls to compile real-world data and share best practice on these rare conditions to guide clinical decision-making. Here we present eight clinical vignettes of patients with hypophosphatemic rickets encountered in our tertiary pediatric endocrinology practice. We describe the clinical features, genetics, and management of four cases of X-linked hypophosphatemia (PHEX mutations), one each of autosomal recessive hypophosphatemic rickets (DMP1 mutation) and autosomal recessive vitamin D-dependent rickets type 1A (CYP27B1 mutation), and two cases of distal renal tubular acidosis with FOXI1 mutation-associated hypophosphatemic rickets. Our cases prompt consideration of the (i) frequent misdiagnosis of hypophosphatemic rickets in clinical practice and the importance of comprehensive genetic testing; (ii) variable expressivity of the causative mutations; and (iii) a lack of responsiveness and/or compliance to conventional therapy and the value of burosumab in modern management, provided access is equitable. These cases highlight common real-world themes and challenges to managing patients presenting with these diverse conditions, especially the burden of disease hidden by misdiagnosis. In sharing these cases, we hope to raise awareness of these conditions, promote best practice in genetic diagnosis and management, and further advocate for reimbursement equity for the best available therapies.

Reliability testing of the Health of the Nation Outcome Scales 2018.

The Health of the Nation Outcome Scales (HoNOS) is a widely used clinical measure designed to rate and monitor the outcomes of service users accessing specialist mental healthcare. Since its development (in 1996), numerous research studies have confirmed the HoNOS captures the aspects of care that it purports to (validity), and that clinicians' ratings are consistent both over time, and between different raters (reliability). In 2018, the HoNOS was reviewed with updates made to some terminology and other revisions intended to remove ambiguity in the guidance for raters. However, although the new version (HoNOS 2018) was accompanied by a recommendation that its validity and reliability be re-tested this was not undertaken. To our knowledge, this is the first study to re-assess the updated tool's reliability by measuring the level of agreement between different raters. Our findings confirm that there is an acceptable level of consistency between student mental health nurses that have been trained to use the (new) HoNOS 2018. The HoNOS is nationally mandated for use by all specialist mental healthcare providers in the UK. Our findings provide some assurance that, with appropriate update training and monitoring of organisational-level data sets, the original HoNOS glossary can safely be replaced with the HoNOS 2018 to ensure more contemporary routine outcome measurement can occur. INTRODUCTION: The Health of the Nation Outcome Scales (HoNOS) is a well-established clinician rated outcome measure for use in mental health services. Following an international review, an updated version (HoNOS 2018) was published with a recommendation that its psychometric properties be re-tested prior to widespread implementation. To date, only one such study has been published. To test the inter-rater agreement levels for HoNOS 2018. Third-year student mental health nurses received training to complete the HoNOS 2018. Following this timetabled session, they were each invited to independently rate two, randomly selected, videos of (simulated) patient interviews. The resulting data were then analysed to calculate the tool's internal consistency and inter-rater agreement levels. The 55 participants provided 106 ratings from four vignettes. Cronbach's alphas and McDonalds omegas confirmed the revised tool's internal consistency was acceptable. Average measure intraclass correlation coefficients for the four patient vignettes indicated excellent reliability. This study provides initial assurance that the HoNOS 2018 is a reliable clinician rated outcome measure suitable for use in routine clinical practice by relatively inexperienced mental health practitioners with limited training.

Medical Students' Knowledge, Attitudes Toward, and Identification of Adverse Childhood Experiences and Trauma-Informed Care.

Adverse childhood experiences (ACEs) are traumatic experiences that occur prior to age 18 years and can have a long-term impact on adult physical and mental health. Knowledge of ACEs, including the link between ACEs and health, and trauma-informed care (TIC), is essential for medical professionals to ensure respectful and compassionate care for those with a history of childhood adversity. This study examined medical students' knowledge, attitudes toward, and identification of ACEs and TIC to inform curricular efforts. Using a cross-sectional design, students were recruited from 2 medical schools, one allopathic (medical degree) and one osteopathic (doctor of osteopathic medicine degree) to complete an electronic needs assessment survey. The survey included a patient vignette to assess students' ability to identify ACEs as contributing factors to patient health. The students were blind to the full purpose of the study to obtain an objective measurement of their ability to identify ACEs as contributors to patient health. Additional questions targeting knowledge and attitudes of ACEs and TIC were devised from previously published surveys with supplemental study-designed questions. Two hundred forty students completed the survey. Results demonstrated variable ability to identify ACEs; strong general knowledge of ACEs, with less developed practical knowledge; and overall positive attitudes toward ACEs and TIC. No differences were found between the medical degree and doctor of osteopathic medicine degree, or year in program. Medical students would benefit from curricular efforts that help to increase knowledge of the link between ACEs and health, increase practical application of ACEs and TIC, and improve their ability to identify ACEs in clinical scenarios.

Paired Comparison Survey Analysis Utilizing Rasch Methodology of the Relative Difficulty and Estimated Work Relative Value Units of CPT Code 0202T.

In anticipation of Food and Drug Administration (FDA) approval of the Total Posterior Spine (TOPS) system, the International Society for the Advancement of Spine Surgery (ISASS) conducted a study to estimate the work relative value units (RVUs) for facet arthroplasty. The purpose of this study was to establish a valuation of work RVU for Current Procedural Terminology (CPT) Code 0202T in the interim until the Relative Value Scale Update Committee (RUC) can determine an appropriate value. The valuation established from this survey will assist surgeons to establish appropriate procedure reimbursement from third-party payers. A survey was created and sent to 52 surgeons who had experience implanting the TOPS system during the investigational device exemption clinical trial. The survey included a patient vignette, a description of CPT Code 0202T along with a video of the TOPS system, and a confirmation question about the illustration's effectiveness. Respondents were asked to compare the work involved in CPT Code 0202T to 8 lumbar spine procedures. A Rasch analysis was performed to estimate the relative difficulty of CPT 0202T using the work RVUs of the comparable procedures. Forty-one surgeons responded to the survey. Of all the procedures, CPT Code 0202T received the most responses for equal work compared with posterior osteotomy (46%) followed by transforaminal lumbar interbody fusion (41%). The results of the regression analysis indicate a work RVU for CPT 0202T of 39.47. The study found an estimated work RVU of 39.47 for CPT Code 0202T using Rasch analysis. As an alternative to this Rasch methodology, one may consider a crosswalk methodology to the work RVUs for transforaminal lumbar interbody fusion procedurally, not as an alternative code. These recommendations are not a substitute for RUC methodology but serve as a reference for physicians and third-party payers to understand work RVU similarities for charge and payment purposes temporarily until RUC methodology provides accurate RVUs for the procedure.

Digital Triage Tools for Sexually Transmitted Infection Testing Compared With General Practitioners' Advice: Vignette-Based Qualitative Study With Interviews Among General Practitioners.

Digital triage tools for sexually transmitted infection (STI) testing can potentially be used as a substitute for the triage that general practitioners (GPs) perform to lower their work pressure. The studied tool is based on medical guidelines. The same guidelines support GPs' decision-making process. However, research has shown that GPs make decisions from a holistic perspective and, therefore, do not always adhere to those guidelines. To have a high-quality digital triage tool that results in an efficient care process, it is important to learn more about GPs' decision-making process. The first objective was to identify whether the advice of the studied digital triage tool aligned with GPs' daily medical practice. The second objective was to learn which factors influence GPs' decisions regarding referral for diagnostic testing. In addition, this study provides insights into GPs' decision-making process. A qualitative vignette-based study using semistructured interviews was conducted. In total, 6 vignettes representing patient cases were discussed with the participants (GPs). The participants needed to think aloud whether they would advise an STI test for the patient and why. A thematic analysis was conducted on the transcripts of the interviews. The vignette patient cases were also passed through the digital triage tool, resulting in advice to test or not for an STI. A comparison was made between the advice of the tool and that of the participants. In total, 10 interviews were conducted. Participants (GPs) had a mean age of 48.30 (SD 11.88) years. For 3 vignettes, the advice of the digital triage tool and of all participants was the same. In those vignettes, the patients' risk factors were sufficiently clear for the participants to advise the same as the digital tool. For 3 vignettes, the advice of the digital tool differed from that of the participants. Patient-related factors that influenced the participants' decision-making process were the patient's anxiety, young age, and willingness to be tested. Participants would test at a lower threshold than the triage tool because of those factors. Sometimes, participants wanted more information than was provided in the vignette or would like to conduct a physical examination. These elements were not part of the digital triage tool. The advice to conduct a diagnostic STI test differed between a digital triage tool and GPs. The digital triage tool considered only medical guidelines, whereas GPs were open to discussion reasoning from a holistic perspective. The GPs' decision-making process was influenced by patients' anxiety, willingness to be tested, and age. On the basis of these results, we believe that the digital triage tool for STI testing could support GPs and even replace consultations in the future. Further research must substantiate how this can be done safely.

Repeatability, reproducibility, and diagnostic accuracy of a commercial large language model (ChatGPT) to perform emergency department triage using the Canadian triage and acuity scale.

The release of the ChatGPT prototype to the public in November 2022 drastically reduced the barrier to using artificial intelligence by allowing easy access to a large language model with only a simple web interface. One situation where ChatGPT could be useful is in triaging patients arriving to the emergency department. This study aimed to address the research problem: "can emergency physicians use ChatGPT to accurately triage patients using the Canadian Triage and Acuity Scale (CTAS)?". Six unique prompts were developed independently by five emergency physicians. An automated script was used to query ChatGPT with each of the 6 prompts combined with 61 validated and previously published patient vignettes. Thirty repetitions of each combination were performed for a total of 10,980 simulated triages. In 99.6% of 10,980 queries, a CTAS score was returned. However, there was considerable variations in results. Repeatability (use of the same prompt repeatedly) was responsible for 21.0% of overall variation. Reproducibility (use of different prompts) was responsible for 4.0% of overall variation. Overall accuracy of ChatGPT to triage simulated patients was 47.5% with a 13.7% under-triage rate and a 38.7% over-triage rate. More extensively detailed text given as a prompt was associated with greater reproducibility, but minimal increase in accuracy. This study suggests that the current ChatGPT large language model is not sufficient for emergency physicians to triage simulated patients using the Canadian Triage and Acuity Scale due to poor repeatability and accuracy. Medical practitioners should be aware that while ChatGPT can be a valuable tool, it may lack consistency and may frequently provide false information.

Repeatability, Reproducibility, and Diagnostic Accuracy of a Commercial Large Language Model (ChatGPT) to Perform Disaster Triage Using the Simple Triage and Rapid Treatment (START) Protocol

Abstract Objective The release of ChatGPT in November 2022 drastically lowered the barrier to artificial intelligence with an intuitive web-based interface to a large language model. This study addressed the research problem: “Can ChatGPT adequately triage simulated disaster patients using the Simple Triage and Rapid Treatment (START) tool?” Methods Five trained disaster medicine physicians developed nine prompts. A Python script queried ChatGPT Version 4 with each prompt combined with 391 validated patient vignettes. Ten repetitions of each combination were performed: 35190 simulated triages. Results A valid START score was returned In 35102 queries (99.7%). There was considerable variability in the results. Repeatability (use of the same prompt repeatedly) was responsible for 14.0% of overall variation. Reproducibility (use of different prompts) was responsible for 4.1% of overall variation. Accuracy of ChatGPT for START was 61.4% with a 5.0% under-triage rate and a 33.6% over-triage rate. Accuracy varied by prompt between 45.8% and 68.6%. Conclusions This study suggests that the current ChatGPT large language model is not sufficient for triage of simulated patients using START due to poor repeatability and accuracy. Medical practitioners should be aware that while ChatGPT can be a valuable tool, it may lack consistency and may provide false information.

Integrating health and social care in the community to support a new model of Long-term Life Care at home.

Background: Long-term care (LTC) reform was an international priority well before the COVID-19 pandemic. While strategies to promote de-institutionalization, rehabilitation, caregiver support and enhanced home and community care have varied by country in terms of implementation and success, the pandemic universally reinforced existing system-specific barriers and weaknesses. In Canada, heightened access issues and silo-ed delivery of community-based medical, functional and social care and support services contributed to increased caregiver burnout and growing residential care waitlists.&#x0D; Aims: This study aimed to develop an alternative model to residential LTC that would enable older adults to live, age and receive care at home long-term. The specific objectives were to: 1) describe variation in medical, functional and psychosocial ‘life care’ needs of community-dwelling older adults; 2) develop a model of needs-based care with packages to support variation in needs; and 3) to assess preliminary feasibility of the model using the Ontario, Canada (population 15 million) health care market. &#x0D; Approach: An exploratory, sequential, mixed methods design was applied (5). Phase 1 involved historical analysis of 2017-18 Ontario interRAI home care assessments (n=283,601) and 2018-19 Ontario service utilization data (n=115,000) to develop unique patient vignettes. Phase 2 was a 6-week modified eDelphi process with interdisciplinary home care clinicians (n=42) to develop care packages for the model, including types and dose of care and services. Six focus groups (n=67) were then conducted with older adults, caregivers and health and social care providers across Ontario to validate and refine the model. Phase 3 explored feasibility of the emerging model through comparison of the home care patient vignettes with the needs of the residential LTC population using 2017-18 Ontario interRAI data (n=115,000). Preliminary costing of the model was based on existing system per diems and direct care costs in comparable transitional care models.&#x0D; Results: A model of ‘Long-term Life Care’ at home (LTLifeC model) includes care packages to meet the dominant life care needs of 6 unique patient groups representing known predictors of LTC home admission: social frailty, caregiver distress, chronic disease, cognition/ behaviours, medical complexity, and geriatric syndromes. Overlap in care needs of home care and LTC populations confirms potential to shift care to the community; yet current home care clients receive six times less daily care hours on average, compared to residential LTC standards. New LTLifeC packages of home-based interdisciplinary care ranged from 3.1-8.9 hours daily, including comprehensive assessment, integrated care planning, direct care provision and community referral(s). Initial cost comparisons suggest plausible short and long-term system benefits of model adoption.&#x0D; Learnings: Evidence-informed decision making for sustainable home and community care as part of an integrated system of LTC requires attention to both routinely collected health information, or ‘big data’, and expertise by lived-experience. Adoption of the LTLifeC model will require decision-making to prioritize societal values for living and aging at home and in community. &#x0D; Next Steps: An evaluation framework will be developed to guide pilot implementation and testing of the LTLifeC model through the lens of the quadruple aim.

Measuring the Impact of AI in the Diagnosis of Hospitalized Patients

Artificial intelligence (AI) could support clinicians when diagnosing hospitalized patients; however, systematic bias in AI models could worsen clinician diagnostic accuracy. Recent regulatory guidance has called for AI models to include explanations to mitigate errors made by models, but the effectiveness of this strategy has not been established. To evaluate the impact of systematically biased AI on clinician diagnostic accuracy and to determine if image-based AI model explanations can mitigate model errors. Randomized clinical vignette survey study administered between April 2022 and January 2023 across 13 US states involving hospitalist physicians, nurse practitioners, and physician assistants. Clinicians were shown 9 clinical vignettes of patients hospitalized with acute respiratory failure, including their presenting symptoms, physical examination, laboratory results, and chest radiographs. Clinicians were then asked to determine the likelihood of pneumonia, heart failure, or chronic obstructive pulmonary disease as the underlying cause(s) of each patient's acute respiratory failure. To establish baseline diagnostic accuracy, clinicians were shown 2 vignettes without AI model input. Clinicians were then randomized to see 6 vignettes with AI model input with or without AI model explanations. Among these 6 vignettes, 3 vignettes included standard-model predictions, and 3 vignettes included systematically biased model predictions. Clinician diagnostic accuracy for pneumonia, heart failure, and chronic obstructive pulmonary disease. Median participant age was 34 years (IQR, 31-39) and 241 (57.7%) were female. Four hundred fifty-seven clinicians were randomized and completed at least 1 vignette, with 231 randomized to AI model predictions without explanations, and 226 randomized to AI model predictions with explanations. Clinicians' baseline diagnostic accuracy was 73.0% (95% CI, 68.3% to 77.8%) for the 3 diagnoses. When shown a standard AI model without explanations, clinician accuracy increased over baseline by 2.9 percentage points (95% CI, 0.5 to 5.2) and by 4.4 percentage points (95% CI, 2.0 to 6.9) when clinicians were also shown AI model explanations. Systematically biased AI model predictions decreased clinician accuracy by 11.3 percentage points (95% CI, 7.2 to 15.5) compared with baseline and providing biased AI model predictions with explanations decreased clinician accuracy by 9.1 percentage points (95% CI, 4.9 to 13.2) compared with baseline, representing a nonsignificant improvement of 2.3 percentage points (95% CI, -2.7 to 7.2) compared with the systematically biased AI model. Although standard AI models improve diagnostic accuracy, systematically biased AI models reduced diagnostic accuracy, and commonly used image-based AI model explanations did not mitigate this harmful effect. ClinicalTrials.gov Identifier: NCT06098950.

Risk prediction algorithms and clinical judgment: Impact of advice distance, social proof, and feature-importance explanations

Cancer risk algorithms are developed in ever-increasing numbers to support clinical decisions. However, their uptake in UK primary care remains low and there is little evidence of how they inform judgment. This study aimed to replicate and extend findings of a recent study, which found that family physicians integrated an unnamed risk algorithm in their risk estimates about hypothetical patients suspected to have colorectal cancer; consequently, their referral decisions improved. This study employed a similar methodology of presenting patient vignettes online but used a different cancer (upper gastrointestinal) and a larger physician sample (N = 215). Furthermore, it tested the impact of two interventions on algorithm uptake: a social proof nudge describing how previous study participants had found the algorithm useful, and a feature-importance explanation (graph depicting the relative contribution of symptoms and risk factors to the patients’ risk score). We provide further support that cancer risk algorithms have the potential to improve risk assessment and referral decisions, and evidence that the introduction of a simple and scalable social proof nudge can enhance algorithm uptake. Finally, we provide further support to the earlier finding that algorithms in tandem with clinical vignettes could be integrated into medical training programmes for risk assessment.

Are the attitudes and beliefs of Australian exercise-based practitioners associated with their use of, and confidence in, treatment modalities for people with chronic low back pain?

Practitioners' attitudes and beliefs towards chronic low back pain (CLBP) influence their clinical decision making, but few studies have investigated decision making outside the context of patient vignettes for a range of first- and second-line treatment options for CLBP, or in accredited exercise physiologists (AEPs). Using an online survey, Australian AEPs and physiotherapists rated their use of different treatments for CLBP (exercise, education, manual therapy, cognitive behavioural therapy) and their confidence in these treatments for reducing pain and disability. Their biomedical and biopsychosocial beliefs were also assessed using the Pain and Attitudes Beliefs Scale for Physiotherapists. Differences between disciplines in treatment use and confidence were analysed using Mann-Whitney U tests and independent t-tests, respectively. Multiple linear regression was used to explore factors associated with treatment choices. Two-hundred thirty-three practitioners (n=143 physiotherapists, n=90 AEPs) completed the survey. Most practitioners were confident in treating CLBP, had a moderate-high level of confidence in the different treatments, and regularly used them in practice. Practitioners with higher biomedical beliefs had greater use of, and confidence in, specific exercise, manual therapy, and combined exercise and manual therapy. Practitioners with higher biopsychosocial beliefs were more confident in general exercise, cognitive behavioural therapy, pain education and combined exercise and pain education. Practitioner beliefs influence their use of, and confidence in different treatments for CLBP. These findings suggest a need for strategies to enhance biopsychosocial beliefs/reduce biomedical beliefs in Australian exercise-based practitioners.