Dataset Information

Healthcare Burden of Rare Diseases: A Population-Based Study in Tuscany (Italy).

ABSTRACT: Patients with rare diseases (RDs) need tailored, continuous, and multidisciplinary hospital care. This retrospective cohort study aimed to analyse the healthcare burden of RD patients using a multi-database approach, by linking the data of the Rare Diseases Registry of Tuscany with the regional hospital discharge database. The study population included 21,354 patients diagnosed with a RD between 1 January 2000 and 31 December 2017. The healthcare burden was evaluated for all the RDs during 2009-2018 period. The hospitalisation rate (per 1000) decreased over the years, ranging from 606.9 in 2009 (95% CI: 589.2-625.0) to 443.0 in 2018 (95% CI: 433.2-453.0). A decrease in the average length of stay (LOS) was observed in the earlier years, followed by an increase up to a steady trend (8.3 days in 2018). The patients with RDs of metabolism and the genitourinary system showed the highest hospitalisation rate (903.3 and 644.0 per 1000, respectively). The patients with rare immune system disorders and diseases of the skin and subcutaneous tissue showed the highest LOS (9.7 and 9.5 days, respectively). The methodological approach presented in this population-based study makes it possible to estimate the healthcare burden of RDs, which is crucial in the decision-making and planning aimed at improving patient care.

SUBMITTER: Baldacci S

PROVIDER: S-EPMC9265803 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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Healthcare Burden of Rare Diseases: A Population-Based Study in Tuscany (Italy).

Baldacci Silvia S Santoro Michele M Pierini Anna A Mezzasalma Lorena L Gorini Francesca F Coi Alessio A

International journal of environmental research and public health 20220621 13

Patients with rare diseases (RDs) need tailored, continuous, and multidisciplinary hospital care. This retrospective cohort study aimed to analyse the healthcare burden of RD patients using a multi-database approach, by linking the data of the Rare Diseases Registry of Tuscany with the regional hospital discharge database. The study population included 21,354 patients diagnosed with a RD between 1 January 2000 and 31 December 2017. The healthcare burden was evaluated for all the RDs during 2009- ...[more]

PMID: 35805212

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Project description:BackgroundRare diseases (RDs) encompass a heterogeneous group of life-threatening or chronically debilitating conditions that individually affect a small number of subjects but overall represent a major public health issue globally. There are still limited data on RD burden due to the paucity of large population-based epidemiological studies. The aim of this research was to provide survival estimates of patients with a RD residing in Tuscany, Italy.MethodsCases collected in the Rare Diseases Registry of Tuscany with diagnosis between 1st January 2000 and 31th December 2018 were linked to the regional health databases in order to retrieve information on mortality of all subjects. Survival at 1, 5 and 10 years from diagnosis with 95% confidence intervals (CI) was estimated by sex, age class, nosological group and subgroup using the Kaplan-Meier method. The effect of sex, age and period of diagnosis (years 2000-2009 or 2010-2018) on survival was estimated using Cox proportional hazards regression.ResultsSurvival at 1, 5 and 10 years from diagnosis was 97.3%, 88.8% and 80.8%, respectively. Respiratory diseases and peripheral and central nervous system disorders were characterized by the lowest survival at 5 and 10 years. Despite a modest higher prevalence of RDs among females (54.0% of the total), male cases had a significant increased risk of death (hazard ratio, HR 1.48, 95% CI 1.38-1.58). Cases diagnosed during 2010-2018 period had a risk of death significantly lower than those diagnosed during 2000-2009 (HR 0.81, 95% CI 0.82-0.96), especially for immune system disorders (HR 0.48, 95% CI 0.26-0.87), circulatory system diseases (HR 0.61, 95% CI 0.45-0.84) and diseases of the musculoskeletal system and connective tissue (HR 0.64, 95% CI 0.49-0.84).ConclusionsAn earlier diagnosis as well as the improvement in the efficacy of treatment resulted in a decreased risk of death over the years for specific RDs. The linkage between a population-based registry and other regional databases exploited in this study provides a large and accurate mass of data capable of estimating patients' life-expectancy and increasing knowledge on the collective burden of RDs.

Project description:BackgroundSystemic Sclerosis (SSc) is a chronic autoimmune disease with a complex pathogenesis that includes vascular injury, abnormal immune activation, and tissue fibrosis. We provided a complete epidemiological characterization of SSc in the Tuscany region (Italy), considering prevalence and incidence, survival, comorbidities and drug prescriptions, by using a multi-database population-based approach. Cases of SSc diagnosed between 1st January 2003 and 31st December 2017 among residents in Tuscany were collected from the population-based Rare Diseases Registry of Tuscany. All cases were linked to regional health and demographic databases to obtain information about vital statistics, principal causes of hospitalization, complications and comorbidities, and drug prescriptions.ResultsThe prevalence of SSc in Tuscany population resulted to be 22.2 per 100,000, with the highest prevalence observed for the cases aged ≥ 65 years (33.2 per 100,000, CI 95% 29.6-37.3). In females, SSc was predominant (86.7% on the total) with an overall sex ratio F/M of 6.5. Nevertheless, males presented a more severe disease, with a lower survival and significant differences in respiratory complications and metabolic comorbidities. Complications and comorbidities such as pulmonary involvement (HR = 1.66, CI 95% 1.17-2.35), congestive heart failure (HR = 2.76, CI 95% 1.80-4.25), subarachnoid and intracerebral haemorrhage (HR = 2.33, CI 95% 1.21-4.48) and malignant neoplasms (HR = 1.63, CI 95% 1.06-2.52), were significantly associated to a lower survival, also after adjustment for age, sex and other SSc-related complications. Disease-modifying antirheumatic drugs, endothelin receptor antagonists, and phosphodiesterase-5 inhibitors were the drugs with the more increasing prevalence of use in the 2008-2017 period.ConclusionsThe multi-database approach is important in the investigation of rare diseases where it is often difficult to provide accurate epidemiological indicators. A population-based registry can be exploited in synergy with health databases, to provide evidence related to disease outcomes and therapies and to assess the burden of disease, relying on a large cohort of cases. Building an integrated archive of data from multiple databases linking a cohort of patients to their comorbidities, clinical outcomes and survival, is important both in terms of treatment and prevention.

Project description:BackgroundRare diseases (RDs) affect millions of individuals collectively worldwide, contributing to significant burdens on patients and families in various aspects. However, there is a lack of evidence on the underlying patterns of burdens among diverse RDs for informing targeted social and health policies to address the unmet needs of this vulnerable population.ObjectiveThis study aimed to examine the underlying patterns of the health and economic burden of 33 different RDs in China and identify the potential determinants.MethodsA nationwide internet-based cross-sectional survey was conducted in China between 2019 and 2020. Physical and mental health burden was measured by health-related quality of life. Economic burden was evaluated based on the proportions of direct medical, direct nonmedical, and indirect costs relative to household income. We used cluster analysis to identify patterns of health and economic burdens and conducted multinomial logistic regression to explore potential predictors of cluster membership.ResultsThe study included 8454 adults and 8491 children affected by 33 RDs. The following 3 clusters were identified: "extremely high burden" (representing 92/8454, 1.1% and 19/8491, 0.2% of adult and pediatric patients, respectively), "overall high burden" (5933/8454, 70.2% and 4864/8491, 57.3%, respectively), and "overall low burden" (2429/8454, 28.7% and 3608/8491, 42.5%, respectively). Wilson disease, Marfan syndrome, and Langerhans cell histiocytosis more likely resulted in an "extremely high burden" than others. Poverty was significantly associated with being in this extremely high burden group. Diseases causing neuromuscular symptoms and requiring long-term treatment (eg, amyotrophic lateral sclerosis, spinocerebellar ataxia, and Dravet syndrome) were prevalent in the "overall high burden" group. Key predictors of this group included older age, lower socioeconomic status, diagnostic delay, and comorbidity.ConclusionsThis study provides novel and valuable evidence on the burden of RDs in developing regions like China. The findings reveal significant disparities in the impact of RDs, emphasizing the need for targeted health care interventions and policies.

Dataset Information

Healthcare Burden of Rare Diseases: A Population-Based Study in Tuscany (Italy).

Publications

Healthcare Burden of Rare Diseases: A Population-Based Study in Tuscany (Italy).

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