How Physicians Spend Their Work Time: an Ecological Momentary Assessment.

BACKGROUND: Little is known about how physicians spend their work time. OBJECTIVE: To determine how physicians in outpatient care spend their time at work, using an innovative method: ecological momentary assessment (EMA). DESIGN: Physician activity was measured via EMA, using a smartphone app. PARTICIPANTS: Twenty-eight practices across 16 US states. Sixty-one physicians: general internal medicine, family medicine, non-interventional cardiology, orthopedics. MAIN MEASURES: Proportions of time spent on 14 activities within 6 broad categories of work: direct patient care (including both face-to-face care and other patient care-related activities), electronic health record (EHR) input, administration, teaching/supervising, personal time, and other. KEY RESULTS: After excluding personal time, physicians spent 66.5% of their time on direct patient care (23.6% multitasking with use of the EHR and 42.9% without the EHR), 20.7% on EHR input alone, 7.7% on administrative activities, and 5.0% on other activities (0.6% using the EHR). In total, physicians spent 44.9% of their time on the EHR. LIMITATIONS: Unable to measure time spent at home on the EHR or other work tasks; participating physicians were not a random sample of US physicians. CONCLUSIONS: The efficiency of highly trained professionals spending only two-thirds of their time on direct patient care may be questioned. EHR use continues to account for a large proportion of physician time. Further attempts should be made to redesign both EHRs and physician work processes.

A Case of Sudden Death in Decameron IV.6: Aortic Dissection or Atrial Myxoma?

Giovanni Boccaccio's Decameron contains a novella that details the sudden death of a young man called Gabriotto, including a portrayal of the discomfort that the protagonist experienced and a rudimentary autopsy performed by local physicians. The intriguing description of symptoms and pathologies has made it possible to read a 7-century-old case through the modern clinical lens. Thanks to the medical and philological analysis of the text-despite the vast difference between modern and medieval medicine-2 hypothetical diagnoses have emerged: either an aortic dissection or an atrial myxoma.

St. Catherine of Siena (1347-1380 AD): one of the earliest historic cases of altered gustatory perception in anorexia mirabilis.

St. Catherine of Siena suffered from an extreme form of holy fasting, a condition classified as anorexia mirabilis (also known as inedia prodigiosa). Historical and medical scholarships alike have drawn a comparison between this primaeval type of anorexia with a relatively common form of eating disorder among young women in the modern world, anorexia nervosa. St. Catherine's condition was characterised by a disgust for sweet taste, a condition also described in anorexia nervosa, and characterised by specific neurophysiological changes in the brain. St. Catherine's case may be considered one of the oldest veritable descriptions of altered gustation (dysgeusia). Moreover, a more compelling neurophysiological similarity between anorexia mirabilis and anorexia nervosa may be proposed.

Real and predicted mortality under health spending constraints in Italy: a time trend analysis through artificial neural networks.

BACKGROUND: After 2008 global economic crisis, Italian governments progressively reduced public healthcare financing. Describing the time trend of health outcomes and health expenditure may be helpful for policy makers during the resources' allocation decision making process. The aim of this paper is to analyze the trend of mortality and health spending in Italy and to investigate their correlation in consideration of the funding constraints experienced by the Italian national health system (SSN). METHODS: We conducted a 20-year time-series study. Secondary data has been extracted from a national, institution based and publicly accessible retrospective database periodically released by the Italian Institute of Statistics. Age standardized all-cause mortality rate (MR) and health spending (Directly Provided Services - DPS, Agreed-Upon Services - TAUS, and private expenditure) were reviewed. Time trend analysis (1995-2014) through OLS and Multilayer Feed-forward Neural Networks (MFNN) models to forecast mortality and spending trend was performed. The association between healthcare expenditure and MR was analyzed through a fixed effect regression model. We then repeated MFNN time trend forecasting analyses on mortality by adding the spending item resulted significantly related with MR in the fixed effect analyses. RESULTS: DPS and TAUS decreased since 2011. There was a mismatch in mortality rates between real and predicted values. DPS resulted significantly associated to mortality (p < 0.05). In repeated mortality forecasting analysis, predicted MR was found to be lower when considering the pre-constraints health spending trend. CONCLUSIONS: Between 2011 and 2014, Italian public health spending items showed a reduction when compared to prior years. Spending on services directly provided free of charge appears to be the financial driving force of the Italian public health system. The overall mortality was found to be higher than the predicted trend and this scenario may be partially attributable to the healthcare funding constraints experienced by the SSN.

Transferring Health Big Data within the European Legal Framework: What Role for National Healthcare Services?

The main objective of this article is to describe the legal principles governing the selection by European public authorities, such as National Health Services (NHS) of third parties, when entering into agreements for the transfer of health data. According to Directive 2003/98/EC, and in light of the provisions of the Treaties of the European Union, the choice as to how a public authority makes its data available to third parties needs to be transparent, non-discriminatory and may not in any case benefit a specific company at the expense of others. For this reason, we maintain that a hypothetical agreement by which a public authority grants exclusive access to a large amount of health data to a private company selected with non-transparent criteria appears highly questionable. We advocate that the NHS should adopt more appropriate data policies aimed at promoting the sustainability of the NHS, following the legal framework analysed in this article.

Analyzing the 20-year declining trend of hospital length-of-stay in European countries with different healthcare systems and reimbursement models.

The study aims to investigate the last 20-year (2000-2019) of hospital length of stay (LOS) trends and their association with different healthcare systems (HS) among 25 European countries. A panel dataset was created using secondary data from Eurostat and Global Burden of Disease study databases, with dependent and control variables aggregated at the national level over a period of 20 years. A time trend analysis was conducted using a weighted least squares model for panel data to investigate the association between LOS, HS models [National Health Service (NHS), National Health Insurance, Social Health Insurance (SHI), and Etatist Social Health Insurance], healthcare reimbursement schemes [Prospective Global Budget (PGB), Diagnosis Related Groups (DRG), and Procedure Service Payment (PSP)], and control variables. The study showed a reduction of average LOS from 9.20 days in 2000 to 7.24 in 2019. SHI was associated with a lower LOS compared to NHS (b = - 0.6327, p < 0.05). Both DRG (b = 1.2399, p < 0.05) and PSP (b = 1.1677, p < 0.05) reimbursement models were positively associated with LOS compared to PGB. Our results confirmed the downward trend of LOS in the last 20 years, its multifactorial nature, and the influence of the SHI model of HS. This could be due to the financial incentives present in fee-for-service payment models and the role of competition in creating a market for healthcare services. These results offer insight into the factors influencing healthcare utilization and can inform the design of more effective, efficient, and sustainable HS.

A step-by-step researcher's guide to the use of an AI-based transformer in epidemiology: an exploratory analysis of ChatGPT using the STROBE checklist for observational studies.

Objective: This study aims at investigating how AI-based transformers can support researchers in designing and conducting an epidemiological study. To accomplish this, we used ChatGPT to reformulate the STROBE recommendations into a list of questions to be answered by the transformer itself. We then qualitatively evaluated the coherence and relevance of the transformer's outputs. Study design: Descriptive study. Methods: We first chose a study to be used as a basis for the simulation. We then used ChatGPT to transform each STROBE checklist's item into specific prompts. Each answer to the respective prompt was evaluated by independent researchers in terms of coherence and relevance. Results: The mean scores assigned to each prompt were heterogeneous. On average, for the coherence domain, the overall mean score was 3.6 out of 5.0, and for relevance it was 3.3 out of 5.0. The lowest scores were assigned to items belonging to the Methods section of the checklist. Conclusions: ChatGPT can be considered as a valuable support for researchers in conducting an epidemiological study, following internationally recognized guidelines and standards. It is crucial for the users to have knowledge on the subject and a critical mindset when evaluating the outputs. The potential benefits of AI in scientific research and publishing are undeniable, but it is crucial to address the risks, and the ethical and legal consequences associated with its use.

Dyspepsia in the middle ages: a reference in Giovanni Boccaccio's Decameron (14th century AD)?

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Predicting Healthcare-associated Infections: are Point of Prevalence Surveys data useful?

Introduction: Since 2012, the European Centre for Disease Prevention and Control (ECDC) promotes a point prevalence survey (PPS) of HAIs in European acute care hospitals. Through a retrospective analysis of 2012, 2015 and 2017 PPS of HAIs performed in a tertiary academic hospital in Italy, we developed a model to predict the risk of HAI. Methods: Following ECDC protocol we surveyed 1382 patients across three years. Bivariate logistic regression analyses were conducted to assess the relationship between HAI and several variables. Those statistically significant were included in a stepwise multiple regression model. The goodness of fit of the latter model was assessed with the Hosmer-Lemeshow test, ultimately constructing a probability curve to estimate the risk of developing HAIs. Results: Three variables resulted statistically significant in the stepwise logistic regression model: length of stay (OR 1.03; 95% CI: 1.02-1.05), devices breaking the skin (i.e. peripheral or central vascular catheter, OR 4.38; 95% CI: 1.52-12.63), urinary catheter (OR 4.71; 95% CI: 2.78-7.98). Conclusion: PPSs are a convenient and reliable source of data to develop HAIs prediction models. The differences found between our results and previously published studies suggest the need of developing hospital-specific databases and predictive models for HAIs.

Physician prices and low-value services: evidence from general internal medicine.

OBJECTIVES: To assess the cross-sectional relationship between prices paid to physicians by commercial insurers and the provision of low-value services. STUDY DESIGN: Observational study design using Health Care Cost Institute claims representing 3 large national commercial insurers. METHODS: The main outcome was count of 19 potential low-value services in 2014. The secondary outcome was total spending on the low-value services. Independent variables of interest were price quintiles based on each physician's mean geographically adjusted price of a mid-level office visit, the most commonly billed service by general internal medicine (GIM) physicians. We estimated the association between physician price quintile and provision of low-value services via negative binomial or generalized linear models with adjustments for measure, region, and patient and physician characteristics. RESULTS: This study included 750,452 commercially insured patients attributed to 28,951 GIM physicians. In 2014, the mean geographically adjusted price for physicians in the highest price quintile was $122.6 vs $54.7 for physicians in the lowest quintile ($67.9 difference; 95% CI, $67.5-$68.3). Relative to patients attributed to the lowest-priced physicians, those attributed to the highest-priced physicians received 3.6, or 22.9%, fewer low-value services per 100 patients (95% CI, 2.7-4.7 services per 100 patients). Spending on low-value services attributed to the highest-priced physicians was 10.9% higher ($520 difference per 100 patients; 95% CI, $167-$872). CONCLUSIONS: Commercially insured patients of high-priced physicians received fewer low-value services, although spending on low-value services was higher. More research is needed to understand why high-priced providers deliver fewer low-value services and whether physician prices are correlated with other measures of quality.

Association between Economic Growth, Mortality, and Healthcare Spending in 31 High-Income Countries.

This study aims to investigate the association between gross domestic product (GDP), mortality rate (MR) and current healthcare expenditure (CHE) in 31 high-income countries. We used panel data from 2000 to 2017 collected from WHO and OECD databases. The association between CHE, GDP and MR was investigated through a random-effects model. To control for reverse causality, we adopted a test of Granger causality. The model shows that the MR has a statistically significant and negative effect on CHE and that an increase in GDP is associated with an increase of CHE (p < 0.001). The Granger causality analysis shows that all the variables exhibit a bidirectional causality. We found a two-way relationship between GDP and CHE. Our analysis highlights the economic multiplier effect of CHE. In the debate on the optimal allocation of resources, this evidence should be taken into due consideration.

The Role of Cost-Effectiveness Analysis in Patient-Centered Cancer Care in the Era of Precision Medicine.

Over the last few decades, changes in diagnostic and treatment paradigms have greatly advanced cancer care and improved outcomes [...].

Teachings After COVID-19 Outbreak From a Survey of Family Physicians.

BACKGROUND: Since December 2019, the dramatic escalation in coronavirus (COVID-19) cases worldwide has had a significant impact on health care systems. Family physicians (FPs) have played a critical role in the coordination of care. MATERIALS AND METHODS: In April 2020, we performed an online prospective survey to assess the impact of the pandemic on FPs' practices. RESULTS: Three hundred FPs were included. Mean age was 53.6 ± 13.5 years. Before the pandemic, 60.2% reported >75 outpatient visits/week, which reduced down to an average of <20/week for 79.8% of FPs; 24.2% of FPs discontinued home visits, while for 94.7% of FPs there was a >50% increase in the number of telephone consultations. Concern related to the risk of contagion was elevated (≥3/5 in 74.6%) and even higher to the risk of infecting relatives and patients (≥3/5 in 93.3%). The majority of FPs (87%) supported the role of telemedicine in the near future. Satisfaction regarding the network with hospitals/COVID-19-dedicated wards received a score ≤2/5 in 46.9% of cases. CONCLUSIONS: The COVID-19 pandemic has had a significant impact on the working practices of FPs. A collaboration is needed with well-established networks between FPs and referral centers to provide new insights and opportunities to inform future working practices.

Physician Prices And The Cost And Quality Of Care For Commercially Insured Patients.

We analyzed the relationship between prices paid to 30,549 general internal medicine physicians and the cost and quality of care for 769,281 commercially insured adults. The highest-price physicians were paid more than twice as much per service, on average, as the lowest-price physicians were. Total annual costs for patients of the highest-price physicians were $996 (20 percent) higher than costs for patients of the lowest-price physicians were, and this variation was not explained by differences in use. Physician prices were not associated with quality: Among physicians in the same hospital referral region, we did not find significant differences between patients of the highest-price physicians and patients of lowest-price physicians in the likelihood of experiencing an ambulatory care-sensitive hospitalization or being readmitted within thirty days of hospital discharge. There were also no differences between the highest- and lowest-price physicians for these quality outcomes for high-need patients. Policy makers need more information on the causes and consequences of the large disparities in prices paid to physicians.

Giovanni Boccaccio's (1313-1375) disease and demise: The final untold tale of liver and heart failure.

Giovanni Boccaccio's fatal disease(s) and cause of death have long remained a mystery. Now, for the first time, a thorough multidisciplinary reassessment has finally been carried out. By combining philological and clinical approaches, it is at last possible to suggest a solid retrospective diagnosis based upon a study of his correspondence, poetry and iconography, as well as references to his physical decay in coeval and later sources. It would appear that he suffered over the last three years of his life from hepatic and cardiac failure, conditions that resulted in edema and potentially even hepatic carcinoma. Focusing on an unusually well-documented case from the Middle Ages, this analysis of exceptionally high informative value reconstructs the symptoms of his medical conditions and finally permits us to clarify and explain the historical feaures, presentations and evolutionary history of the case at hand.

Health Expenditure and All-Cause Mortality in the 'Galaxy' of Italian Regional Healthcare Systems: A 15-Year Panel Data Analysis.

BACKGROUND: The sustainability of healthcare systems is a topic of major interest. During periods of economic instability, policy makers typically reallocate resources and execute linear cuts in different areas of public spending, including healthcare. OBJECTIVES: The aim of this paper was to examine whether and how per capita public healthcare expenditure (PHE) in the Italian regions was related to the all-cause mortality rate (MR) between 1999 and 2013 and to determine which expenditure item most affected mortality in the short and very short term. METHODS: We conducted a pooled cross-sectional time series study. Secondary data were extracted from 'Health for All', a database released periodically by the Italian National Institute of Statistics. PHE is subdivided into directly provided services (DPS), pharmaceutical care, general practitioner care, specialist medical care, privately delivered hospital care, other privately delivered medical services, and psychiatric support and rehabilitation. We used a fixed-effects regression to assess the effects of PHE items on the MR after controlling for a number of socioeconomic and supply variables. RESULTS: Higher spending on DPS was associated with a lower MR. Other expenditure variables were not significantly associated with the MR. CONCLUSIONS: The results highlight the importance of medical services and goods provided directly by public services (i.e. hospital-based general and specialized wards and offices, emergency departments, etc.). DPS represents the driving force of the system and should be considered a determinant of the health of the Italian population. Our results suggest that the context and financing methods of a healthcare system should be carefully analysed before linear cuts are made or resources are reallocated.

Laparoscopic versus open distal pancreatectomy for ductal adenocarcinoma: a systematic review and meta-analysis.

BACKGROUND: Laparoscopic distal pancreatectomy was proposed as an oncologically safe approach for pancreatic ductal adenocarcinoma. METHODS: A systematic review of the studies comparing laparoscopic and open distal pancreatectomy was conducted. The primary endpoint was an R0 resection rate. The secondary endpoints were intra- and postoperative results, tumour size, mean harvested lymph node, number of patients eligible for adjuvant therapy and overall survival. RESULTS: Five comparative case control studies involving 261 patients (30.7% laparoscopic and 69.3% open) who underwent a distal pancreatectomy were included. The R0 resection rate was similar between the two groups (P = 0.53). The laparoscopic group had longer operative times (P = 0.04), lesser blood loss (P = 0.01), a shorter hospital stay (P < 0.001) and smaller tumour size (P = 0.04) as compared with the laparotomic group. Overall morbidity, postoperative pancreatic fistula, reoperation, mortality and number of patients eligible for adjuvant therapy were similar. The mean harvested lymph nodes were comparable in the two groups (P = 0.33). The laparoscopic approach did not affect the overall survival rate (P = 0.32). CONCLUSION: Even if the number of patients compared is underpowered, the laparoscopic approach in the treatment of PDAC seems to be safe and efficacious. However, additional prospective, randomised, multicentric trials are needed to correctly evaluate the laparoscopic approach in PDAC.