Ranking and Prioritization of Emergency Departments Based on Multi-indicator Systems

In this work we discuss how Emergency Departments (EDs) can be ranked on the basis of multiple indicators. This problem is of absolute relevance due to the increasing importance of EDs in regional healthcare systems and it is also complex as the number of indicators that have been proposed in the literature to measure ED performance is very high. Current literature faces this problem using synthetic (or numerically aggregated) indicators of a set of performance measures but, although simple, this solution has a number of drawbacks that make this choice inefficient: a compensation effect among the indicators; a high degree of subjectivism in the indicators weighting; opacity in the decision making; all the EDs are considered to be comparable. Indeed, the situations in which EDs are comparable (i.e. when all the performance of one ED are not lower than the performance indicators of the other) are a minority and incomparability is by itself a source of information that should be used to identify situations for which different policy actions should be designed. In this work we propose to use non compensatory composite indicators and partial ordering theory to rank and compare EDs giving value to the reasons of such an incomparability. These methods are applied on a case study of 19 EDs in an administrative region in Italy. \ua9 2016, Springer Science+Business Media Dordrecht

Targeting frequent users of emergency departments: Prominent risk factors and policy implications

This study investigates the characteristics of frequent users of accident and emergency departments (AEDs) and recommends alternative medical services for such patients. Prominent demographic and clinical risk factors for individuals accessing seven AEDs located in the metropolitan area of Genoa, Italy are identified and analysed. A truncated count data model is implemented to establish the determinants of access, while a multinomial logistic regression is used to highlight potential differences among different user categories. According to previous studies, empirical findings suggest that despite the relevance of demographic drivers, vulnerability conditions (e.g. abuse of alcohol and drugs, chronic conditions, and psychological distress) are the main reasons behind frequent AED use; the analysis seems to confirm an association between AED frequent use and lower level of urgency. Since frequent and highly frequent users are found responsible for disproportionate resource absorption with respect to total amount of AED costs (they represent roughly 10% of the total number of patients, but contribute to more than 19% of the total annual AED cost), policies aiming to reduce frequent use of AEDs could bring significant savings in economic resources. Thus, efficient actions could be oriented toward extending primary care services outside AED and toward instituting local aid services specifically addressed to people under the influence of substances or in conditions of mental distress

Quality of life of people living with HIV, preliminary results from IANUA (Investigation on Antiretroviral Therapy) study

Introduction: The introduction of combined antiretroviral treatment (cART) has reduced HIV-associated morbidity and mortality, and changed the patients’ perspective of life. As a result, Health Related Quality of Life (HRQOL) has become a crucial clinical issue. Objective: Assessment of HRQOL in a sample of Italian patients from IANUA study. Investigate correlation between CD4 cell counts, viral load and changes in HRQOL. Materials and Methods: EQ-5D-3L self-reported questionnaire has been used in the evaluation of HRQOL. It assesses five dimensions: “mobility,” “self care,” “usual activities,” “pain/discomfort” and “anxiety/depression.” Each dimension has three levels: no problems, some problems and extreme problems. In addition, it includes a Visual Analogue Scale (VAS) where one's own health “today” is rated from 0 “worst imaginable health” to 100 “best imaginable health.” The respondents provide information on marital status, education, employment/unemployment, other treatments used in addition to HAART (1,2,3,4,5 or more) and number of hospitalizations due to HIV/AIDS. Results: 684 patients completed the questionnaire: 231 females and 453 males. The mean age of the sample was 51 years (range 21–78). The mean VAS score was 69.9. 558 patients (81.5%) reported no problems in mobility. 642 patients (93.5%) had no problems in self care. 423 patients (61.8%) had no pain/discomfort while 219 had some problems. 326 patients (46.1%) had some problems in anxiety/depression. Conclusions: The analysis of self-reported questionnaires indicates that HRQOL in our sample group is not deeply affected by HIV/AIDS. The dimensions that are affected in the least are “mobility” and “self care” while the major problem is “anxiety/depression” with half of the sample reporting moderate or high level

Quality of life in an Italian cohort of people living with HIV in the era of combined antiretroviral therapy (Evidence from I.A.N.U.A. Study-Investigation on Antiretroviral Therapy)

The aims of this study were to assess the Health Related Quality of Life (HRQoL) of People Living with HIV/AIDS (PLWHA) who attend outpatient services in Genoa, Italy, and to evaluate the relationship between HRQoL and clinical factors, primarily: CD4+ cell count, viral load and HIV-Hepatitis C Virus (HCV) coinfection. A cross-sectional study was performed involving a sample of 943 consecutive patients. Firstly the EuroQol-Five Dimensions-Three Level (EQ-5D-3L) self-reported questionnaire was used to evaluate HRQoL, while socio-demographic information was collected using a separate self-administered questionnaire. Descriptive statistical analysis was then used to show the socio-demographic and clinical characteristics of the sample. Having characterised the sample, Pearson's correlation technique was used to assess the relationship between HRQoL and socio-demographic and clinical characteristics. Finally, multivariable linear regression was used to determine factors associated with HRQOL. The median EQ-Visual analogue scale (EQ-VAS) score was 75.4 (SD 18.4). We found statistically significant associations between the EQ-VAS score and age, coinfection with HCV+, education, other drugs taken over cART, hospitalization due to HIV and a CD4+ cell count 500 mm3. Factors independently associated with lower HRQoL were: older age, coinfection with HCV+, other drugs used in addition to cART, hospitalization due to HIV and CD4+ cell count 500 mm3

IANUA: a regional project for the determination of costs in HIV-infected patients

HIV treatment is based on combined antiretroviral therapy (cART) which has substantially improved survival, thus resulting in an increase in patient life expectancy as well as in the cost of HIV-related medical care. Therefore, several cost effectiveness studies were implemented worldwide, with one specifically in the Liguria region (Italy), to compare the annual economic expense in this area for HIV services, and the related improvement in patients' health. The IANUA project is intended to implement both cost-effectiveness and cost-utility analysis, therefore data related to clinical indicators and perceived health status were collected, the latter using a questionnaire based on the EQ-5D-3L. Information about the antiretroviral drugs and the relative quantity that a patient withdraws from the hospital pharmacy every month were extracted from the regional "F-file". All data gathered were stored in the Ligurian HIV Network, a web platform developed by the DIBRIS - Medinfo laboratory. More than eight hundred questionnaires were collected, and data will be elaborated by economists and psychologists. The first statistical elaborations showed that, as expected, costs increased as the number of therapeutic lines increased. Moreover, the average annual costs for patients whose last CD4 values were below 200 cells/mmc corresponded to the maximum expense recorded, however, the cost for patients with final CD4 counts above 500 cells/mmc was not, as expected, the lowest found. This can be explained by the fact that stabilized patients, who had CD4 values below 500 cells/mmc, did not need very expensive care, while patients with CD4 counts above 500 cells/mmc improved their health status thanks to cART