Development and validation of the Dermatology Social Comparison (DSC) Scale.

BACKGROUND: Social comparison, the process of evaluating one's characteristics in relation to others, influences individuals' self-perception and behavior. However, instruments are scarce for assessing social comparison in the medical setting. OBJECTIVES: Our aim was to develop and validate a new scale for assessing social comparison. MATERIALS AND METHODS: Seven statements were developed, encompassing the perceived normality of having rashes, the tendency to compare their situation with others, and the emotional response when seeing someone better or worse off than themselves. The instrument was piloted in 15 patients for readability and face validity, then prospectively validated using modern psychometric methods in 1,053 adult patients with eczema or psoriasis from three tertiary dermatological centers in Singapore. RESULTS: Of 1,053 adult patients, 802 (76.2%) had eczema, and 251 (23.8%) had psoriasis. Exploratory factor analysis (using a 70% sample split) showed a single factor model comprising three questions (Eigenvalue: 1.4). Confirmatory factor analysis with the remaining 30% of the sample confirmed an excellent model fit. Cronbach's alpha was 0.7, and inter-item correlations ranged from 0.42 to 0.46. In the Rasch analysis, item fit statistics and item characteristic curves showed appropriate discrimination between response options, although reliability was suboptimal with a person separation reliability of 0.63. CONCLUSIONS: Comprising 3 questions, the newly derived social comparison scale showed acceptable psychometrics as a measure of social comparison for clinical and research purposes in dermatology. Its brief nature likely results from its brevity and applicability to conditions beyond eczema and psoriasis, which warrants further investigation.

Artificial Intelligence and Technology Collaboratories: Innovating aging research and Alzheimer's care.

This perspective outlines the Artificial Intelligence and Technology Collaboratories (AITC) at Johns Hopkins University, University of Pennsylvania, and University of Massachusetts, highlighting their roles in developing AI-based technologies for older adult care, particularly targeting Alzheimer's disease (AD). These National Institute on Aging (NIA) centers foster collaboration among clinicians, gerontologists, ethicists, business professionals, and engineers to create AI solutions. Key activities include identifying technology needs, stakeholder engagement, training, mentoring, data integration, and navigating ethical challenges. The objective is to apply these innovations effectively in real-world scenarios, including in rural settings. In addition, the AITC focuses on developing best practices for AI application in the care of older adults, facilitating pilot studies, and addressing ethical concerns related to technology development for older adults with cognitive impairment, with the ultimate aim of improving the lives of older adults and their caregivers. HIGHLIGHTS: Addressing the complex needs of older adults with Alzheimer's disease (AD) requires a comprehensive approach, integrating medical and social support. Current gaps in training, techniques, tools, and expertise hinder uniform access across communities and health care settings. Artificial intelligence (AI) and digital technologies hold promise in transforming care for this demographic. Yet, transitioning these innovations from concept to marketable products presents significant challenges, often stalling promising advancements in the developmental phase. The Artificial Intelligence and Technology Collaboratories (AITC) program, funded by the National Institute on Aging (NIA), presents a viable model. These Collaboratories foster the development and implementation of AI methods and technologies through projects aimed at improving care for older Americans, particularly those with AD, and promote the sharing of best practices in AI and technology integration. Why Does This Matter? The National Institute on Aging (NIA) Artificial Intelligence and Technology Collaboratories (AITC) program's mission is to accelerate the adoption of artificial intelligence (AI) and new technologies for the betterment of older adults, especially those with dementia. By bridging scientific and technological expertise, fostering clinical and industry partnerships, and enhancing the sharing of best practices, this program can significantly improve the health and quality of life for older adults with Alzheimer's disease (AD).

Developing an Artificial Intelligence-Driven Nudge Intervention to Improve Medication Adherence: A Human-Centred Design Approach.

To improve medication adherence, we co-developed a digital, artificial intelligence (AI)-driven nudge intervention with stakeholders (patients, providers, and technologists). We used a human-centred design approach to incorporate user needs in creating an AI-driven nudge tool. We report the findings of the first stage of a multi-phase project: understanding user needs and ideating solutions. We interviewed healthcare providers (n = 10) and patients (n = 10). Providers also rated example nudge interventions in a survey. Stakeholders felt the intervention could address existing deficits in medication adherence tracking and were optimistic about the solution. Participants identified flexibility of the intervention, including mode of delivery, intervention intensity, and the ability to stratify to user ability and needs, as critical success factors. Reminder nudges and provision of healthcare worker contact were rated highly by all. Conversely, patients perceived incentive-based nudges poorly. Finally, participants suggested that user burden could be minimised by leveraging existing software (rather than creating a new App) and simplifying or automating the data entry requirements where feasible. Stakeholder interviews generated in-depth data on the perspectives and requirements for the proposed solution. The participatory approach will enable us to incorporate user needs into the design and improve the utility of the intervention. Our findings show that an AI-driven nudge tool is an acceptable and appropriate solution, assuming it is flexible to user requirements.

Missed opportunities in the diagnosis of heart failure: a real-world assessment.

AIMS: Heart failure (HF) is a leading cause of hospitalization worldwide. An early HF diagnosis is key to reducing hospitalizations. We used electronic health records (EHRs) to characterize HF pathways at the primary care physician (PCP) level prior to a first HF hospitalization (hHF). This study aimed to identify missed opportunities for HF diagnosis and management at the PCP level before a first hHF. METHODS AND RESULTS: This cohort study used EHRs of a large health care organization in Portugal. Patients with incident hHF between 2017 and 2020 were identified. Missed opportunities were defined by the absence of any of the following work-up in the 6 months after signs or symptoms had been recorded: lab results and electrocardiogram, natriuretic peptides, echocardiogram, referral to HF specialist, or HF medication initiation. A total of 2436 patients with a first hHF were identified. The median (interquartile range) age at the time of hospitalization was 81 (14) years, and 1361 (56%) were women. Most patients were treated with cardiovascular drugs prior or at index event. A total of 720 (30%) patients had records of HF signs or symptoms, 94% (n = 674) within 6 months prior to hHF. Among patients with recorded HF signs or symptoms, 410 (57%) had clinical management considered adequate before signs and symptoms were recorded. Of the 310 remaining patients, 155 (50%) had a follow-up that was considered inadequate. CONCLUSIONS: Relatively few patients with a first hHF had primary care records of signs or symptoms prior to admission. Of these, nearly half had inadequate management considering diagnosis and treatment. These data suggest the need to improve PCP HF awareness.

Understanding Discordant Perceptions of Disease Severity Between Physicians and Patients With Eczema and Psoriasis Using Structural Equation Modeling.

Importance: Patients and physicians often have differing opinions on the patient's disease severity. This phenomenon, termed discordant severity grading (DSG), hinders the patient-physician relationship and is a source of frustration. Objective: To test and validate a model explaining the cognitive, behavioral, and disease factors associated with DSG. Design, Setting, and Participants: A qualitative study was first performed to derive a theoretical model. In this subsequent prospective cross-sectional quantitative study, the qualitatively derived theoretical model was validated using structural equation modeling (SEM). Recruitment was conducted between October 2021 and September 2022. This was a multicenter study in 3 Singapore outpatient tertiary dermatological centers. Dermatology patients and their attending physicians were recruited by convenience sampling. Patients were aged 18 to 99 years with psoriasis or eczema of at least 3 months' duration and recruited only once. The data were analyzed between October 2022 to May 2023. Main Outcomes and Measures: The outcome was the difference between global disease severity (0-10 numerical rating scale with a higher score indicating greater severity) as independently scored by the patient and the dermatologist. Positive discordance was defined as patient-graded severity more than 2 points higher (graded more severely) than physicians, and negative discordance if more than 2 points lower than physicians. Confirmatory factor analysis followed by SEM was used to assess the associations between preidentified patient, physician, and disease factors with the difference in severity grading. Results: Of the 1053 patients (mean [SD] age, 43.5 [17.5] years), a total of 579 (55.0%) patients were male, 802 (76.2%) had eczema, and 251 (23.8%) had psoriasis. Of 44 physicians recruited, 20 (45.5%) were male, 24 (54.5%) were aged between 31 and 40 years, 20 were senior residents or fellows, and 14 were consultants or attending physicians. The median (IQR) number of patients recruited per physician was 5 (2-18) patients. Of 1053 patient-physician pairs, 487 pairs (46.3%) demonstrated discordance (positive, 447 [42.4%]; negative, 40 [3.8%]). Agreement between patient and physician rating was poor (intraclass correlation, 0.27). The SEM analyses showed that positive discordance was associated with higher symptom expression (standardized coefficient B = 0.12; P = .02) and greater quality-of-life impairment (B = 0.31; P < .001), but not patient or physician demographics. A higher quality-of-life impairment was in turn associated with lower resilience and stability (B = -0.23; P < .001), increased negative social comparisons (B = 0.45; P < .001), lower self-efficacy (B = -0.11; P = .02), increased disease cyclicity (B = 0.47; P < .001), and greater expectation of chronicity (B = 0.18; P < .001). The model was well-fitted (Tucker-Lewis: 0.94; Root Mean Square Error of Approximation: 0.034). Conclusions and Relevance: This cross-sectional study identified various modifiable contributory factors to DSG, increased understanding of the phenomenon, and set a framework for targeted interventions to bridge this discordance.

Readiness for transfer: a mixed-methods study on ICU transfers of care.

OBJECTIVE: Past studies on intensive care unit (ICU) patient transfers compare the efficacy of using standardised checklists against unstructured communications. Less studied are the experiences of clinicians in enacting bidirectional (send/receive) transfers. This study reports on the differences in protocols and data elements between receiving and sending transfers in the ICU, and the elements constituting readiness for transfer. METHODS: Mixed-methods study of a 574-bed general hospital in Singapore with a 74-bed ICU for surgical and medical patients. Six focus group discussions (FGDs) with 34 clinicians comprising 15 residents and 19 nurses, followed by a structured questionnaire survey of 140 clinicians comprising 21 doctors and 119 nurses. FGD transcripts were analysed according to the standard qualitative research guidelines. Survey data were analysed using Student's t-test with Bonferroni corrections. RESULTS: General ward (GW) clinicians are more likely to receive ICU patients with complete discharge summaries while ICU clinicians receiving GW patients get significantly less data. Emergency department (ED), GW and operating theatre physicians accompany their patients to the ICU while ICU nurses accompany their patients to the GW. Not all units, such as the ED, experience bidirectional transfers. CONCLUSION: The protocols and supporting data elements of an ICU transfer vary by the type of transfer and transferring unit. Readiness for transfer means that sending unit protocols affirmatively consider the needs of the receiving unit's data needs and resource constraints.

Does Universal Health Insurance in Korea provide a Lesson for U.S. Health Care Financing?

This note provides a commentary on Lee, C. "Is Universal Health Insurance Superior in Terms of Healthcare Payment? Estimating the Financial Burden of Healthcare in Korea: 2009 to 2019." INQUIRY, 2022, 59:1-8. Lee, using a unique data set, shows that the Korean single payer system is regressive, despite previous attempts to increase public expenditures. The policy recommendation, to improve access by making public payments even more progressive to household income, is examined. This note concludes that making health expenditures progressive to household income does not solve the root cause of the demand for health care, a key factor in health care access, nor can the policy implications generalize to the multi-payer U.S. system.

Evaluation of house staff candidates for program fit: a cohort-based controlled study.

BACKGROUND: Medical school academic achievements do not necessarily predict house staff job performance. This study explores a selection mechanism that improves house staff-program fit that enhances the Accreditation Council for Graduate Medical Education Milestones performance ratings. OBJECTIVE: Traditionally, house staff were selected primarily on medical school academic performance. To improve residency performance outcomes, the Program designed a theory-driven selection tool to assess house staff candidates on their personal values and goals fit with Program values and goals. It was hypothesized cohort performance ratings will improve because of the intervention. METHODS: Prospective quasi-experimental cohort design with data from two house staff cohorts at a university-based categorical Internal Medicine Residency Program. The intervention cohort, comprising 45 house staff from 2016 to 2017, was selected using a Behaviorally Anchored Rating Scales (BARS) tool for program fit. The control cohort, comprising 44 house staff from the prior year, was selected using medical school academic achievement scores. House staff performance was evaluated using ACGME Milestones indicators. The mean scores for each category were compared between the intervention and control cohorts using Student's t-tests with Bonferroni correction and Cohen's d for effect size. RESULTS: The cohorts were no different in academic performance scores at time of Program entry. The intervention cohort outperformed the control cohort on all 6 dimensions of Milestones by end-PGY1 and 3 of 6 dimensions by mid-PGY3. CONCLUSION: Selecting house staff based on compatibility with Residency Program values and objectives may yield higher job performance because trainees benefit more from a better fit with the training program.

Financial Incentives, Not Behavioral Nudges, Led to Optimized HIV Testing among Pregnant Women in a High-Burden Urban Population in Ecuador.

Behavioral economic principles are increasingly being used in the fight against HIV, including improving voluntary testing in sub-Saharan Africa and South America. However, behavioral nudges have not been widely tested as a strategy to optimize HIV testing in pregnant women. Here, we assessed whether behavioral nudges or financial incentives were effective in optimizing HIV testing among pregnant women in a high-HIV burden setting. A randomized clinical trial was conducted between May 21 and Oct 5, 2018, to allocate pregnant women in Ecuador into three study arms: information only, soft commitment (i.e., a behavioral nudge), and financial incentives. All participants received an informational flyer, including the address of a testing location. Participants in the soft-commitment arm signed and kept a form on which they committed to get tested for HIV. Those in the financial incentive arm received a $10 incentive when tested for HIV. A stepwise logistic regression analysis estimated the effect of the study arms on HIV testing rate. Participants in the financial-incentive arm had higher odds of getting an HIV test (adjusted odds ratio 17.06, P < 0.001) as compared with information-only participants. Soft-commitment had the opposite effect (adjusted odds ratio 0.14, P = 0.014). Financial incentives might be useful in improving HIV testing among pregnant women, especially among those who might be at higher risk but who have not completed an HIV test.

Hidradenitis suppurativa: racial and socioeconomic considerations in management.

Studies on hidradenitis suppurativa (HS) have found an increased prevalence of HS in skin of color and lower socioeconomic status patients, although the reasons for these differences are unclear. Demographic and therapeutic studies of HS originate primarily from developed Western countries, and data from low- and medium-income countries (LMIC) remain comparatively limited. In this review paper, we discuss differences in clinical presentation and comorbidities between racial and socioeconomic subpopulations and describe the genetic, biomedical, psychosocial, and ecological factors that may explain the associations between HS and skin of color and socioeconomic status. We highlight biomedical treatment considerations for LMIC including cost effective and less complex treatment strategies. We touch on population-based strategies to address the social determinants of health in HS management and discuss additional challenges arising from the COVID-19 pandemic.

Qualitative analysis of topical corticosteroid concerns, topical steroid addiction and withdrawal in dermatological patients.

OBJECTIVE: To explore the phenomenon of topical corticosteroid (TCS) phobia and comprehensively understand the factors driving TCS concerns, in particular pertaining to steroid addiction and withdrawal. DESIGN: Prospective qualitative study using 1:1 in-depth semistructured interviews and analysed using grounded theory. PARTICIPANTS: Patients with a prior experience of TCS use for a dermatological condition recruited from a tertiary academic dermatology clinic, or through word of mouth and online social media platforms. RESULTS: 26 participants encompassing those with positive, neutral and negative opinions towards TCS were interviewed. 13 reported having topical steroid addiction or withdrawal. The drivers of TCS concerns could be categorised into seven themes: attitudes towards TCS (comprising beliefs and knowledge about TCS), availability of alternatives, treatment inconvenience, personality, patient's ongoing evaluation of clinical response to TCS, doctor-patient relationship and healthcare-seeking behaviour. Of mention, patients placed high value and trust on their own experiences with TCS, such as their perceived experienced side effects. The doctor who failed to acknowledge the patient's opinions and instead emphasised the safety of TCS was often viewed as dismissive, resulting in a deteriorating patient-doctor relationship. CONCLUSION: Provision of knowledge and education is important but may be ineffective if the basis for TCS concern regarding safety is reasonable, or when the patient has a firmly established belief supporting his/her concern. In such instances, failure to acknowledge and respect the patient's decision to avoid TCS could worsen the doctor-patient relationship.

The Association Between Timing of Elective Surgery Scheduling and Operating Theater Utilization: A Cross-Sectional Retrospective Study.

BACKGROUND: Overutilization of operating theaters (OTs) occurs when actual surgery duration exceeds scheduled duration, which could potentially result in delays or cancelations in subsequent surgeries. We investigate the association between the timing of elective surgery scheduling and OT overutilization. METHODS: A cross-sectional retrospective study was conducted using electronic health record data of 27,423 elective surgeries from July 1, 2016, to July 31, 2018, at a mid-Atlantic academic medical center with 56 OTs. The scheduling precision of each surgery is measured using the ratio of the actual (A) over the scheduled or forecast (F) length of surgery to derive the predictor variable of A/F (actual-to-forecast ratio [AF]). Student t test and χ2 tests analyzed differences between OTs reserved within and over 7 days of surgery for continuous and dichotomous variables, respectively. Hierarchical regression models, controlling for potential confounds from the hospital environment, clinicians' work experience and workloads, patient factors, scheduled OT length, and operational and team factors isolated the association between OTs reserved within 7 days of the elective surgery with AF. RESULTS: The Student t test indicates that OTs reserved within 7 days of surgery had significantly higher AF (1.13 ± 0.53 vs 1.08 ± 0.41; P < .001). In-depth Student t test analyses for 4 patient groups, namely, outpatient, extended recovery, admission after surgery, and inpatient, indicate that AF was only significantly different for OTs reserved within 7 days for the admission after surgery group (1.15 ± 0.47 vs 1.09 ± 0.35; P < .001) but did not reach statistical significance among the outpatient, extended recovery, and inpatient groups. After controlling for potential confounds, hierarchical regression for the admission after surgery group reveals that OTs reserved within 7 days took 2.7% longer than the scheduled length of surgery (AFbeta, 0.027; 95% CI, 0.003-0.051; P = .027). CONCLUSIONS: Elective surgeries scheduled within 7 days of surgery were associated with significantly higher likelihood of OT overutilization for surgical patients who will be admitted after surgery. Further studies at other hospitals and a longer period of time are needed to ascertain a potential "squeeze-in" effect.