Mimesis and clinical pictures: thinking with Plato and Broekman through the production and meaning of images of disease

This paper contends, following Plato and Broekman, that (1) seeing images as images is crucial to theorizing medicine and that (2) considering clinical pictures as images of images is a much-needed epistemic complement to the domineering view that sees clinical pictures as mirrors of disease. This does not only offer epistemic, but also ethical benefits to individual patients, especially in those cases where patients suffer from chronic, debilitating, and terminal illnesses and where medicine provides no, or limited, answers in terms of treatment, intervention, and meaning. By creating room for a theory of clinical pictures that rightfully emphasizes its pictorial nature, patients and doctors alike may be encouraged to consider under what authorship, and with which epistemic tools, alternative, supplemental images may be produced to get at the existential reality of disease and suffering. Ultimately, this paper argues that the epistemic tools provided by aesthetics may offer such glimpses into the reality of disease and suffering, and I conclude by discussing a few artistic renditions of breast cancer to illustrate my point.     

The Jefferson Scale of Empathy: a nationwide study of measurement properties,underlying components,latent variable structure,and national norms in medical students

The Jefferson Scale of Empathy (JSE) is a broadly used instrument developed to measure empathy in the context of health professions education and patient care. Evidence in support of psychometrics of the JSE has been reported in health professions students and practitioners with the exception of osteopathic medical students. This study was designed to examine measurement properties, underlying components, and latent variable structure of the JSE in a nationwide sample of first-year matriculants at U.S. colleges of osteopathic medicine, and to develop a national norm table for the assessment of JSE scores. A web-based survey was administered at the beginning of the 2017–2018 academic year which included the JSE, a scale to detect “good impression” responses, and demographic/background information. Usable surveys were received from 6009 students enrolled in 41 college campuses (median response rate?=?92%). The JSE mean score and standard deviation for the sample were 116.54 and 10.85, respectively. Item-total score correlations were positive and statistically significant (p?<?0.01), and Cronbach α?=?0.82. Significant gender differences were observed on the JSE scores in favor of women. Also, significant differences were found on item scores between top and bottom third scorers on the JSE. Three factors of Perspective Taking, Compassionate Care, and Walking in Patient’s Shoes emerged in an exploratory factor analysis by using half of the sample. Results of confirmatory factor analysis with another half of the sample confirmed the 3-factor model. We also developed a national norm table which is the first to assess students’ JSE scores against national data.     

Using entropy balancing to strengthen an observational cohort study design: lessons learned from an evaluation of a complex multi-state federal demonstration

We conducted an evaluation of a patient-centered medical home demonstration sponsored by the Centers for Medicare & Medicaid Services. We implemented a quasi-experimental pre-post with a comparison group design. Traditional propensity score weighting failed to achieve balance (exchangeability) between the two groups on several critical characteristics. In response, we incorporated a relatively new alternative known as entropy balancing. Our objective is to share lessons learned from using entropy balancing in a quasi-experimental study design. We document the advantages and challenges with using entropy balancing. We also describe a set of best practices, and we present a series of illustrative analyses that empirically demonstrate the performance of entropy balancing relative to traditional propensity score weighting. We compare alternative approaches based on: (i) covariate balance (e.g., standardized differences); (ii) overlap in conditional treatment probabilities; and (iii) the distribution of weights. Our comparison of overlap is based on a novel approach we developed that uses entropy balancing weights to calculate a pseudo-propensity score. In many situations, entropy balancing provides remarkably superior covariate balance compared to traditional propensity score weighting methods. Entropy balancing is also preferred because it does not require extensive iterative manual searching for an optimal propensity score specification. However, we demonstrate that there are some situations where entropy balancing “fails”. Specifically, there are instances where entropy balancing achieves adequate covariate balance only by using a distribution of weights that dramatically up-weights a small set of observations, giving them a disproportionately large and undesirable influence.     

A conversation including 39 questions with Anirban Basu

At the 2018 International Conference on Health Policy Statistics (ICHPS) held in Charleston, South Carolina, Anirban Basu was awarded the Mid-Career Excellence Award from the American Statistical Association Section on Health Policy Statistics (HPSS). Anirban was exceptionally and uniquely qualified for this award. Highlights include his providing outstanding service to the HPSS, advancing statistical methodology, advancing methodology in other domains of health policy, and performing extensive and highly impactful applied work in medicine and health care. In this interview, we trace Anirban’s upbringing, schooling, early career, and mid-career phases to gain insights into his success. We also sought his opinions on salient topics or issues.     

Regional variation in hospitalisation and mortality in heart failure: comparison of England and Lombardy using multistate modelling

Heart failure (HF) is a common, serious chronic condition with high morbidity, hospitalisation and mortality. The healthcare systems of England and the northern Italian region of Lombardy share important similarities and have comprehensive hospital administrative databases linked to the death register. We used them to compare admission for HF and mortality for patients between 2006 and 2012 (n = 37,185 for Lombardy, 234,719 for England) with multistate models. Despite close similarities in age, sex and common comorbidities of the two sets of patients, in Lombardy, HF admissions were longer and more frequent per patient than in England, but short- and medium-term mortality was much lower. English patients had more very short stays, but their very elderly also had longer stays than their Lombardy counterparts. Using a three-state model, the predicted total time spent in hospital showed large differences between the countries: women in England spent an average of 24 days if aged 65 at first admission and 19 days if aged 85; in Lombardy these figures were 68 and 27 days respectively. Eight-state models suggested disease progression that appeared similar in each country. Differences by region within England were modest, with London patients spending more time in hospital and having lower mortality than the rest of England. Whilst clinical practice differences plausibly explain these patterns, we cannot confidently disentangle the impact of alternatives such as coding, casemix, and the availability and use of non-hospital settings. We need to better understand the links between rehospitalisation frequency and mortality.     

The Closing Digital Divide: Delivery Modality and Family Attendance in the Pathways for African American Success (PAAS) Program

Although family-focused, evidence-based programs (EBPs) have the potential to reduce disparities in health and behavioral outcomes for youth, access to such programs is severely limited in the most affected areas, including African American communities in the rural South. As expanding the reach of EBPs is the primary goal of translational research, interest is growing in the potential of technology as a viable platform to disseminate services to areas with limited resources. To test whether African American families in the rural South would be willing to engage in a technology-based family-focused EBP to prevent adolescent risk behavior, we examined attendance using data from two arms of a three-arm community-based trial of the Pathways for African American Success (PAAS) program. In the overall study, sixth graders (N?=?412) and their primary caregivers were randomly assigned to the following conditions: (a) in-person, small group sessions led by facilitators; (b) self-directed, technology-based sessions; or (c) a literature control with home-mailed educational materials. Results indicated that attendance was higher in the technology condition than in the small group condition. Parental age, education, and socioeconomic status did not limit attendance in the technology condition. We conclude from these results that the use of technology can be an acceptable strategy for disseminating parenting EBPs to African American families in the rural South.     

Tabakassoziierte Krebserkrankungen in Deutschland – Entwicklung der Inzidenz und Mortalität seit 1995

Background and Objectives

Tobacco consumption is the most important cancer risk factor. In Germany, about 15% of all new cancer cases can be attributed to smoking. The aim of this paper is to analyze the incidence and mortality trends in tobacco-associated cancer cases in Germany for the last two decades.

Materials and Methods

Age standardized incidence and mortality rates were calculated for tumors of the upper aerodigestive tract and lower urinary tract for the period from 1995 to 2014/2015. In addition, average annual percentage changes were calculated with joinpoint regression analysis. Regarding lung cancer, trends in incidence and mortality rates were also stratified by different age groups and trends in mortality rates were analyzed by birth cohorts.

Results

The incidence and mortality rates among men are declining for all tobacco-associated cancers except esophageal cancer. Lung cancer mortality rates showed the greatest decrease with ?1.9% on average per year. The incidence rates among women increased for all tobacco-associated cancers except lower urinary tract cancers. The increase in lung cancer incidence was greatest with 3.3% on average per year. Among men there was a continuous decline over all birth cohorts regarding the chance of dying of lung cancer at a certain age. Among women, the chance of dying of lung cancer increased for all birth cohorts until 1960.

Conclusions

The present analyses regarding tobacco-associated cancers in Germany reflect the changes in smoking prevalence with a deferment of multiple decades.

     

Prevalence and correlates of diabetes and metabolic syndrome in a rural indigenous community in Baja California,Mexico

Background

Diabetes is a leading cause of morbidity and mortality in Mexico and understudied among indigenous populations. This study aimed to determine the prevalence and identify correlates of Type 2 diabetes mellitus (Type 2 DM) and metabolic syndrome (MetS) in a rural, indigenous community in Northwestern Mexico.

Methods

A cross-sectional study was conducted in the community of San Quintin, Baja California, Mexico, among a sample of households. A total of 275 participants (≥18?years old) underwent a questionnaire, physical examination, and serologic test. Prevalence and adjusted odds ratio (AOR), using logistic regression modeling, were estimated with 95% confidence intervals (95% CI).

Results

The prevalence of Type 2 DM and MetS was 21.8 and 53.1%, respectively. Mean?±?standard deviation (SD) age and body mass index of study participants was 35.8?±?13.0?years and 28.7?±?5.6?kg/m², respectively. Participants were 75% female and 60.7% self-identified as indigenous. Thirty-seven percent of adults had high blood pressure. After controlling for age, higher educational attainment had a protective effect on Type 2 DM (AOR?=?0.39; 95% CI 0.20, 0.77). Additionally, the presence of MetS was associated with being female (AOR?=?2.27; 95% CI 1.23, 4.14) and having lower educational attainment (AOR?=?0.62; 95% CI 0.37, 0.94).

Conclusions

The prevalence of Type 2 DM and MetS was high in this rural and indigenous population, and education was shown to play a critical role. These findings support the need for community-inclusive health-promoting interventions in rural communities.

     

Economic evaluation of telephone-based weight loss support for patients with knee osteoarthritis: a randomised controlled trial

Background

The prevalence of knee osteoarthritis is increasing worldwide. Obesity is an important modifiable risk factor for both the incidence and progression of knee osteoarthritis. Consequently, international guidelines recommend all patients with knee osteoarthritis who are overweight receive support to lose weight. However, few overweight patients with this condition receive care to support weight loss. Telephone-based interventions are one potential solution to provide scalable care to the many patients with knee osteoarthritis. The objective of this study is to evaluate, from a societal perspective, the cost-utility and cost-effectiveness of a telephone-based weight management and healthy lifestyle service for patients with knee osteoarthritis, who are overweight or obese.

Methods

An economic evaluation was undertaken alongside a pragmatic randomised controlled trial. Between May 19 and June 30, 2015, 120 patients with knee osteoarthritis were randomly assigned to an intervention or usual care control group in a 1:1 ratio. Participants in the intervention group received a referral to an existing non-disease specific 6-month telephone-based weight management and healthy lifestyle service. Quality-adjusted life years (QALYs) was the utility measure and knee pain intensity, disability, weight, and body mass index (BMI) were the clinical measures of effect. Costs included intervention costs, healthcare utilisation costs (healthcare services and medication use) and absenteeism costs due to knee pain. Data was collected at baseline, 6?weeks and 26?weeks. The primary cost-effectiveness analysis was performed from the societal perspective.

Results

Mean cost differences between groups (intervention minus control) were $493 (95%CI: -3513 to 5363) for healthcare costs, $-32 (95%CI: -73 to 13) for medication costs, and $125 (95%CI: -151 to 486) for absenteeism costs. The total mean difference in societal costs was $1197 (95%CI: -2887 to 6106). For QALYs and all clinical measures of effect, the probability of the intervention being cost-effective compared with usual care was less than 0.36 at all willingness-to-pay values.

Conclusions

From a societal perspective, telephone-based weight loss support, provided using an existing non-disease specific 6-month weight management and healthy lifestyle service was not cost-effective in comparison with usual care for overweight and obese patients with knee osteoarthritis.

Trial registration number

ACTRN12615000490572, registered 18th May 2015