A novel comorbidity index in Italy based on diseases detected by the surveillance system PASSI and the Global Burden of Diseases disability weights.

BACKGROUND: Understanding comorbidity and its burden characteristics is essential for policymakers and healthcare providers to allocate resources accordingly. However, several definitions of comorbidity burden can be found in the literature. The main reason for these differences lies in the available information about the analyzed diseases (i.e., the target population studied), how to define the burden of diseases, and how to aggregate the occurrence of the detected health conditions. METHODS: In this manuscript, we focus on data from the Italian surveillance system PASSI, proposing an index of comorbidity burden based on the disability weights from the Global Burden of Disease (GBD) project. We then analyzed the co-presence of ten non-communicable diseases, weighting their burden thanks to the GBD disability weights extracted by a multi-step procedure. The first step selects a set of GBD weights for each disease detected in PASSI using text mining. The second step utilizes an additional variable from PASSI (i.e., the perceived health variable) to associate a single disability weight for each disease detected in PASSI. Finally, the disability weights are combined to form the comorbidity burden index using three approaches common in the literature. RESULTS: The comorbidity index (i.e., combined disability weights) proposed allows an exploration of the magnitude of the comorbidity burden in several Italian sub-populations characterized by different socioeconomic characteristics. Thanks to that, we noted that the level of comorbidity burden is greater in the sub-population characterized by low educational qualifications and economic difficulties than in the rich sub-population characterized by a high level of education. In addition, we found no substantial differences in terms of predictive values of comorbidity burden adopting different approaches in combining the disability weights (i.e., additive, maximum, and multiplicative approaches), making the Italian comorbidity index proposed quite robust and general.

Social determinants of mental health in Italy: the role of education in the comparison of migrant and Italian residents.

Mental health is impacted by social, economic, and environmental factors, the Social Determinants of Health (SDH). Migrants experiencing precarious living and working conditions may be more at risk of poor mental health than the majority population.This paper aims to evaluate the relationship of educational attainment and other SDH with depressive symptoms among the resident population, including Italians and migrants.This study examined the respondents to the Italian "Progressi delle Aziende Sanitarie per la Salute in Italia" (PASSI) surveillance system, 2014-18. The sample of 144.055 respondents is composed of the resident working adults aged 25-69 with Italian citizenship (n = 136.514) and foreign citizenship (n = 7.491).Findings show that among Italians high level of education appears to be a protective factor for mental health, in accordance with the international evidence (adjPR: tertiary education 0,74 p-value = 0.000). However, among immigrants high level of education is associated with the presence of depressive symptoms (adjPR: tertiary education: 1.61 p-value = 0.006), particularly for men (adjPR: tertiary education: 2.40 p-value = 0.006). The longer the length of stay in Italy for immigrants the higher the risk of depressive symptoms: adjPR for 10+ years: 2.23 p-value = 0.005.The data show that high education could represent a risk factor for mental health of immigrants. Moreover, among migrants there are some significant mental health inequities between male and female related to the duration of stay in Italy, economic activity and educational level.Considering that health is related to the nature of society as well as to access to technical solutions, multicultural societies require culturally oriented interventions for tackling health inequities. This means developing evidence-based policies in order to tackle health inequalities in the population as a whole, including culturally oriented measures in the larger framework of developing diversity sensitive services.

When does morbidity start? An analysis of changes in morbidity between 2013 and 2019 in Italy.

Morbidity is one of the key aspects for assessing populations' well-being. In particular, chronic diseases negatively affect the quality of life in the old age and the risk that more years added to lives are years of disability and illness. Novel analysis, interventions and policies are required to understand and potentially mitigate this issue. In this article, we focus on investigating whether in Italy the compression of morbidity is in act in the recent years, parallely to an increase of life expectancy. Our analysis rely on large repeated cross-sectional data from the national surveillance system passi, providing deep insights on the evolution of morbidity together with other socio-demographical variables. In addition, we investigate differences in morbidity across subgroups, focusing on disparities by gender, level of education and economic difficulties, and assessing the evolution of these differences across the period 2013-2019.

[Development of a conceptual model for interpretation of monitoring indicators of childhood obesity prevention from the Italian National Prevention Plan]. / Sviluppo di un modello concettuale di riferimento per l'interpretazione degli indicatori di prevenzione dell'obesità infantile e nell'adolescenza nel Piano nazionale della prevenzione.

BACKGROUND: the Italian National Prevention Plan (PNP) posed the standard to be achieved by Regions for the prevention of obesity in childhood and adolescence. The PNP also set up a monitoring system to assess the impact of implemented policies. OBJECTIVES: to develop a conceptual model to facilitate interpretation of variation in outcome indicators. METHODS: after a systematic review, the DPSEEA («Driving forces¼, «Pressures¼, «State¼, «Exposure¼, «Effect¼, «Actions¼) was identified as the more appropriate framework to assess the results of preventive policies. Factors for each component of the framework were identified and indicators that allow measuring the changing of each of these factors were defined. RESULTS: the included «driving forces¼ were related to the profit-led food industry, to the nutrition environment at school, and to household-level factors. Among the «pressures¼, parenting behaviours, food provided by school canteens, sociocultural factors, social context, physical activity (PA), opportunities at school or after-school were included. In the State, the high consumption of processed food, the large quantities of high-calorie food easy available, the consumption of carbonated and sugar-sweetened beverages, the reduced social function of mealtimes in families, the early cessation of breastfeeding, the reduction of outdoors activity, active transportation, and PA at school for children were identified. The «exposure¼ factors were the reduced opportunities of doing PA and the over-consumption of calories that influence the «effect¼, described as the prevalence of children and adolescents affected by obesity. CONCLUSIONS: through the DPSEEA, a conceptual model was set up; it allows to place in the causal chain the «actions¼ and the mechanisms through which these actions should impact on the «exposure¼ (PA and over-consumption of calories), making the rationale of process and impact indicators explicit.

Prevalence of Pulmonary Embolism among Patients Hospitalized for Syncope.

BACKGROUND: The prevalence of pulmonary embolism among patients hospitalized for syncope is not well documented, and current guidelines pay little attention to a diagnostic workup for pulmonary embolism in these patients. METHODS: We performed a systematic workup for pulmonary embolism in patients admitted to 11 hospitals in Italy for a first episode of syncope, regardless of whether there were alternative explanations for the syncope. The diagnosis of pulmonary embolism was ruled out in patients who had a low pretest clinical probability, which was defined according to the Wells score, in combination with a negative d-dimer assay. In all other patients, computed tomographic pulmonary angiography or ventilation-perfusion lung scanning was performed. RESULTS: A total of 560 patients (mean age, 76 years) were included in the study. A diagnosis of pulmonary embolism was ruled out in 330 of the 560 patients (58.9%) on the basis of the combination of a low pretest clinical probability of pulmonary embolism and negative d-dimer assay. Among the remaining 230 patients, pulmonary embolism was identified in 97 (42.2%). In the entire cohort, the prevalence of pulmonary embolism was 17.3% (95% confidence interval, 14.2 to 20.5). Evidence of an embolus in a main pulmonary or lobar artery or evidence of perfusion defects larger than 25% of the total area of both lungs was found in 61 patients. Pulmonary embolism was identified in 45 of the 355 patients (12.7%) who had an alternative explanation for syncope and in 52 of the 205 patients (25.4%) who did not. CONCLUSIONS: Pulmonary embolism was identified in nearly one of every six patients hospitalized for a first episode of syncope. (Funded by the University of Padua; PESIT ClinicalTrials.gov number, NCT01797289 .).

Migrant health in Italy: a better health status difficult to maintain-country of origin and assimilation effects studied from the Italian risk factor surveillance data.

BACKGROUND: Many studies on migrant health have focused on aspects of morbidity and mortality, but very few approach the relevant issues of migrants' health considering behavioral risk factors. Previous studies have often been limited methodologically because of sample size or lack of information on migrant country of origin. Information about risk factors is fundamental to direct any intervention, particularly with regard to non-communicable diseases that are leading causes of death and disease. Thus, the main focus of our analysis is the influence of country of origin and the assimilation process. METHOD: Utilizing a surveillance system that has been collecting over 30,000 interviews a year in Italy since 2008, we have studied migrants' attitudes and behaviors by country of origin and by length of stay. Given 6 years of observation, we have obtained and analyzed 228,201 interviews of which over 9000 were migrants. RESULTS: While migrants overall present similar conditions to native-born Italians, major differences appear when country of origin or length of stay is considered. Subgroups of migrants present substantially different behaviors, some much better than native-born Italians, some worse. However, integration processes generally produce a convergence towards the behavioral prevalence observed for native-born Italians. CONCLUSIONS: Health programs should consider the diversity of the growing migrant population: data and analyses are needed to support appropriate policies. Many migrants' subgroups arrive with healthier behaviors than those of their adopted country. However, they are likely to have a less favorable social position in their destination countries that could lead to a change towards less healthy behaviors. Interventions capable of identifying this tendency could produce significant better health for this important part of the future (multicultural) populations.

Increasing gaps in health inequalities related to non-communicable diseases in South Australia; implications towards behavioural risk factor surveillance systems to provide evidence for action.

BACKGROUND: Although Australia is a country cited as having generally low health inequalities among different socioeconomic groups, inequalities have persisted. The aim of this analysis was to highlight how inequalities have evolved over a 13 years period in South Australia (SA). METHODS: Since 2002, over 600 interviews per month have been undertaken with SA residents through a computer assisted telephone survey method (total 77,000+). Major risk factors and chronic diseases have been analyzed providing trends by two socio-economic variables: education and a proxy of income (ability to save). RESULTS: While income and educational gaps are reducing over time in SA, those that remain in the lower socio-economic groups have a generally higher prevalence of risk factors and chronic diseases. The health disparity gap is still relevant, although at a different extent, for all the variables considered in our study, with most appearing to be stable if not increasing over time. CONCLUSIONS: Surveillance can be a good source of information both to show the evolution of problems and to evaluate possible future interventions. Extensive effort is still required to "close the gap" of health inequalities in SA. More precisely targeted and properly implemented interventions are needed.

[The health determinants in young children: testing a new surveillance system in Italy]. / I determinanti di salute nella prima infanzia: la sperimentazione di un nuovo sistema di sorveglianza in Italia.

In recent years, the scientific community has stressed the need to invest in the first 1,000 days of life - the time spanning between conception and the 2nd birthday - because it is during this period that the foundations of health are laid and whose effects will be present throughout the life and may influence the next generation. Taking this into account, in 2013 the National Centre for Disease Prevention and Control (CCM) of the Italian Ministry of Health promoted and financed a project to test a surveillance system of the main determinants of health concerning the child between the conception period and the 2nd years of life which are included in the National Programme "GenitoriPiù": folic acid before and during pregnancy, abstention from tobacco and alcohol during pregnancy and lactation, breastfeeding, infant sleep position, vaccination attitude, and early reading. The Project, started in January 2014 and ended in August 2016, has piloted the design, testing, and evaluation of the surveillance system with the view to national extension and the repeatability over time. The surveillance system has been designed to collect data through a questionnaire compiled by mothers in vaccination centres, in order to produce indicators which will enable territorial and intertemporal comparisons to be made. The project has shown the feasibility of this system, identifying favourable conditions and possible difficulties, and its ability to collect important information on children's health.

Electronic cigarette use as an aid to quit smoking in the representative Italian population PASSI survey.

This study explored electronic cigarette (e-cigarette) use as an aid to quit smoking and compared abstinence rates for different quitting methods in a representative sample of the Italian population. In the 2014-2015 PASSI survey, the ongoing Italian behavioural risk factor surveillance system, 6112 adults who smoked and made at least one quit attempt in the previous 12months, were categorized into three groups according to the method used in their most recent quit attempt: e-cigarette only, no aid, other quitting methods (medications; programmes delivered in smoking cessation services; other unspecified methods). The primary outcome was self-reported abstinence for a period ≥6months, adjusted for potential confounders. Eleven percent used e-cigarettes only, 86% no aid, 3% other quitting methods. Smoking abstinence was reported among 9% of those using no aid; 8% of e-cigarette users; 15% of those using other methods. No significant differences in abstinence were observed for e-cigarette users compared with those reporting no aid (adjusted Prevalence Ratio [aPR]=0.81; 95%Confidence Interval (CI)=0.58-1.14). Changing the reference group to e-cigarette users, those using other quitting methods were significantly more likely to report abstinence than e-cigarette users (aPR=1.76; 95%CI=1.07-2.88). One out of ten smokers who attempted to quit in 2014-2015 in Italy used e-cigarettes. E-cigarettes users were as likely to report abstinence as those using no aid, but were less likely to report abstinence than users of established quitting methods. Further studies are needed to understand the relationship between e-cigarette types used to quit and abstinence rates.

Epidemiology of chronic respiratory diseases and associated factors in the adult Italian population.

Background: Detailed epidemiology of Chronic Respiratory Diseases (CRDs) and of their risk and protective factors is needed to plan preventive interventions to reduce the burden of CRDs on population health. This study determines the prevalence of doctor-diagnosed CRDs and its associated factors in the adult Italian population. Methods: Data was collected from adults participating in the ongoing cross-sectional Italian Behavioural Risk Factor Surveillance System (PASSI) between 2013 and 2015. Results: Among 108 705 respondents, 7.0% reported a CRD (3.4% asthma, 2.6% COPD, 1.0% Asthma-COPD Overlap Syndrome). Current smoking was more frequent in the group with CRD compared to those without (30.8% vs. 25.2%, P < 0.001), as was physical inactivity (41.9% vs. 36.4%, P 0.009) and overweight/obesity (52.4% vs. 41.4%, P 0.009). Adults with CRDs also reported appropriate perception of insufficient physical activity and excessive body weight, adopted protective behaviours and received preventive interventions more often than those without CRDs. Conclusions: Italian adults with CRDs are more likely to be exposed to aggravating factors but are also knowledgeable of their condition and amenable to behaviour change. Since effective interventions for modifying these factors are available, there is an opportunity to reduce the significant disease burden of CRDs through specifically targeted health promotion interventions.

Bias of health estimates obtained from chronic disease and risk factor surveillance systems using telephone population surveys in Australia: results from a representative face-to-face survey in Australia from 2010 to 2013.

BACKGROUND: Emerging communication technologies have had an impact on population-based telephone surveys worldwide. Our objective was to examine the potential biases of health estimates in South Australia, a state of Australia, obtained via current landline telephone survey methodologies and to report on the impact of mobile-only household on household surveys. METHODS: Data from an annual multi-stage, systematic, clustered area, face-to-face population survey, Health Omnibus Survey (approximately 3000 interviews annually), included questions about telephone ownership to assess the population that were non-contactable by current telephone sampling methods (2006 to 2013). Univariable analyses (2010 to 2013) and trend analyses were conducted for sociodemographic and health indicator variables in relation to telephone status. Relative coverage biases (RCB) of two hypothetical telephone samples was undertaken by examining the prevalence estimates of health status and health risk behaviours (2010 to 2013): directory-listed numbers, consisting mainly of landline telephone numbers and a small proportion of mobile telephone numbers; and a random digit dialling (RDD) sample of landline telephone numbers which excludes mobile-only households. RESULTS: Telephone (landline and mobile) coverage in South Australia is very high (97%). Mobile telephone ownership increased slightly (7.4%), rising from 89.7% in 2006 to 96.3% in 2013; mobile-only households increased by 431% over the eight year period from 5.2% in 2006 to 27.6% in 2013. Only half of the households have either a mobile or landline number listed in the telephone directory. There were small differences in the prevalence estimates for current asthma, arthritis, diabetes and obesity between the hypothetical telephone samples and the overall sample. However, prevalence estimate for diabetes was slightly underestimated (RCB value of -0.077) in 2013. Mixed RCB results were found for having a mental health condition for both telephone samples. Current smoking prevalence was lower for both hypothetical telephone samples in absolute differences and RCB values: -0.136 to -0.191 for RDD landline samples and -0.129 to -0.313 for directory-listed samples. CONCLUSION: These findings suggest landline-based sampling frames used in Australia, when appropriately weighted, produce reliable representative estimates for some health indicators but not for all. Researchers need to be aware of their limitations and potential biased estimates.

Health Estimates Using Survey Raked-Weighting Techniques in an Australian Population Health Surveillance System.

A challenge for population health surveillance systems using telephone methodologies is to maintain representative estimates as response rates decrease. Raked weighting, rather than conventional poststratification methodologies, has been developed to improve representativeness of estimates produced from telephone-based surveillance systems by incorporating a wider range of sociodemographic variables using an iterative proportional fitting process. This study examines this alternative weighting methodology with the monthly South Australian population health surveillance system report of randomly selected people of all ages in 2013 (n = 7,193) using computer-assisted telephone interviewing. Poststratification weighting used age groups, sex, and area of residence. Raked weights included an additional 6 variables: dwelling status, number of people in household, country of birth, marital status, educational level, and highest employment status. Most prevalence estimates (e.g., diabetes and asthma) did not change when raked weights were applied. Estimates that changed by at least 2 percentage points (e.g., tobacco smoking and mental health conditions) were associated with socioeconomic circumstances, such as dwelling status, which were included in the raked-weighting methodology. Raking methodology has overcome, to some extent, nonresponse bias associated with the sampling methodology by incorporating lower socioeconomic groups and those who are routinely not participating in population surveys into the weighting formula.

Application of the varying coefficient model to the behaviour risk factor surveillance data in Italy: a study of changing smoking prevalence among sub-populations.

BACKGROUND: Behaviour risk factor surveillance (BRFS) data can be an important source of information for studying changes in various health outcomes and risk factors. Results obtained from surveillance data analysis are vital for informing health policy interventions, particularly with regards to evolutionary aspects. The objective of this analysis was to recommend a method that can be used for analysing trends in the association among variables from large public health data sets. This was demonstrated by examining the changing effects of various covariates, representing different sub-populations, on smoking status over time. METHODS: In our work, we propose the use of varying coefficient models (VCM) with non-parametric techniques to catch the dynamics of the evolutionary processes under study. This is a useful method, which allows coefficients to vary with time using smooth functions. Italian BRFS data from 2008-2012 was used with a sample size of 185,619 observations. In the application, a time VCM is fit for a smoking status binary outcome variable using the P-spline estimation method. The model includes ten independent variables comprising socio-demographic, health risk and behaviour variables. RESULTS: The VCM fit for the data indicates that the coefficients for some of the categories for the age and the alcohol consumption variables varied with time. The main results show that Italians aged 18-29 and 40-49 had higher odds of being smokers compared to those aged 60-69; however, these odds significantly decreased in the period 2008-2012. In addition, those who do not drink had lower odds for being a smoker compared to high risk drinkers and these odds decreased further during the observation period. CONCLUSION: The application of the VCM to the BRFS data in Italy has shown that this method can be useful in detecting which sub-populations require interventions. Although the results have shown a decrease in the odds of being a smoker for certain age groups and non-drinkers, other sub-populations have not decreased their odds and health inequalities remain. This observation indicates that efforts and interventions are still required to target these non-changing sub-populations in order to modify their smoking behaviour.

Cancer screening uptake: association with individual characteristics, geographic distribution, and time trends in Italy.

BACKGROUND: In Italy, organized screening programmes invite the vast majority of the population for cervical and breast cancer, and about one half of the population for colorectal cancer. Programme activity and quality are closely monitored. Nevertheless, there is a vast spontaneous activity, both public and private, for which information on service and coverage is missing. To estimate actual population coverage for the three types of screening the extent of spontaneous screening needs to be known. METHODS: PASSI is a national telephone-interview surveillance system that continuously collects information about behavioural health risk factors and the diffusion of preventive health interventions. From 2010 to 2013, more than 151,000 18- to 69-year-olds were interviewed. During 2013, 136 out of 147 Italian local health authorities participated in the survey. Information about screening includes: test uptake (Pap smear, HPV, mammography, faecal occult blood test, colonoscopy), date of the last test, provider of the last test (whether paid or for free, proxy of the organized screening programme), reason for not participating in screening, and screening promotion/recommendation received. Individual information on socio-economic characteristics is available. RESULTS: Seventy-seven percent of the 25-64 year-old women interviewed said they had undergone a Pap smear or HPV test in the three years before the interview, 40%within the screening programme, 37% spontaneously and paying. Seventy percent of the 50-69 year-old women interviewed reported having had a mammography in the two years before the interview, 51% within the screening programme, 19% spontaneously and paying. Thirty-eight percent of the 50-69 year olds interviewed reported having undergone colorectal screening in the two years before the interview, 31% within the screening programme, 7% spontaneously and paying. All three screening programmes showed a decreasing North-South trend in coverage. From 2010 to 2013, coverage increased for all types of screening; the trend was stronger in the South; the increase was mostly due to the tests performed within the organized programmes. People with low education, economic problems, and immigrants from high migration pressure countries had lower coverage levels. In regions with well-implemented organized screening programmes, test coverage was higher and differences for socio-economic factors were smaller than in regions with incomplete programme activation.

Ten-year trends in major lifestyle risk factors using an ongoing population surveillance system in Australia.

BACKGROUND: Understanding how risk factors (tobacco, alcohol, physical inactivity, unhealthy diet, high blood pressure, and high cholesterol) change over time is a critical aim of public health. The associations across the social gradient over time are important considerations. Risk factor surveillance systems have a part to play in understanding the epidemiological distribution of the risk factors so as to improve preventive measures and design public health interventions for reducing the burden of disease. METHODS: Representative, cross-sectional data were collected in South Australia using telephone interviews, conducted on a minimum of 600 randomly selected people (of all ages) each month. Data were collected from January 2004 to December 2013. Unadjusted prevalence over time, the relative percentage change over the 10 years, and the absolute change of the risk factors with sex, age group, and socio-economic status (SES) estimates are presented. RESULTS: In total 55,548 adults (≥18 years) were interviewed (mean age = 47.8 years, 48.8% male). Decreases were apparent for insufficient physical activity, inadequate fruit and vegetables, smoking, and soft drink consumption of ≥500 ml/day. Increases were found over the 10 years for obesity, high cholesterol, diabetes, and for those with no risk factors. Apparent differences were noticeable by different sex, age, and SES categories. While increases in physical activity and fruit and vegetable consumption and decreases in smoking prevalence and multiple risk factors are to be expected in 2020-2021, the prevalence of obesity, high blood pressure, high cholesterol, and diabetes are expected to increase. CONCLUSIONS: Public health efforts in increasing the proportion of the population undertaking appropriate risk factor behavior are showing signs of success, with data from 2004 to 2013 showing encouraging trends. Deriving comparable trends over time by key demographics and SES variables provides evidence for policymakers and health planners to encourage interventions aimed at preventing chronic disease.

Are we ready for "green surgery" to promote environmental sustainability in the operating room? Results from the WSES STAR investigation.

BACKGROUND: The importance of environmental sustainability is acknowledged in all sectors, including healthcare. To meet the United Nations Sustainable Development Goals 2030 Agenda, healthcare will need a paradigm shift toward more environmentally sustainable practices that will also impact clinical decision-making. The study investigates trauma and emergency surgeons' perception, acceptance, and employment of environmentally friendly habits. METHODS: An online survey based on the most recent literature regarding environmental sustainability in healthcare and surgery was created by a multidisciplinary committee and endorsed by the World Society of Emergency Surgery (WSES). The survey was advertised to the 917 WSES members through the society's website and Twitter/X profile. RESULTS: 450 surgeons from 55 countries participated in the survey. Results underline both a generally positive attitude toward environmental sustainability but also a lack of knowledge about several concepts and practices, especially concerning the potential contribution to patient care. DISCUSSION: The topic of environmental sustainability in healthcare and surgery is still in its infancy. There is a clear lack of salient guidance and knowledge, and there is a critical need for governments, institutions, health agencies, and scientific societies to promote, disseminate, and report environmentally friendly initiatives and their potential impacts while employing an interdisciplinary approach.

Cardiology in a Digital Age: Opportunities and Challenges for e-Health: A Literature Review.

To date, mortality rates associated with heart diseases are dangerously increasing, making them the leading cause of death globally. From this point of view, digital technologies can provide health systems with the necessary support to increase prevention and monitoring, and improve care delivery. The present study proposes a review of the literature to understand the state of the art and the outcomes of international experiences. A reference framework is defined to develop reflections to optimize the use of resources and technologies, favoring the development of new organizational models and intervention strategies. Findings highlight the potential significance of e-health and telemedicine in supporting novel solutions and organizational models for cardiac illnesses as a response to the requirements and restrictions of patients and health systems. While privacy concerns and technology-acceptance-related issues arise, new avenues for research and clinical practice emerge, with the need to study ad hoc managerial models according to the type of patient and disease.

Economic and Performance Evaluation of E-Health before and after the Pandemic Era: A Literature Review and Future Perspectives.

E-Health represents one of the pillars of the modern healthcare system and a strategy involving the use of digital and telemedicine tools to provide assistance to an increasing number of patients, reducing, at the same time, healthcare costs. Measuring and understanding the economic value and performance of e-Health tools is, therefore, essential to understanding the outcome and best uses of such technologies. The aim of this paper is to determine the most frequently used methods for measuring the economic value and the performance of services in the framework of e-Health, considering different pathologies. An in-depth analysis of 20 recent articles, rigorously selected from more than 5000 contributions, underlines a great interest from the clinical community in economic and performance-related topics. Several diseases are the object of detailed clinical trials and protocols, leading to various economic outcomes, especially in the COVID-19 post-pandemic era. Many e-Health tools are mentioned in the studies, especially those that appear more frequently in people's lives outside of the clinical setting, such as apps and web portals, which allow for clinicians to keep in contact with their patients. While such e-Health tools and programs are increasingly studied from practical perspectives, such as in the case of Virtual Hospital frameworks, there is a lack of consensus regarding the recommended models to map and report their economic outcomes and performance. More investigations and guidelines by scientific societies are advised to understand the potential and path of such an evolving and promising phenomenon.