Opportunities and Obstacles to the Development of Health Data Warehouses in Hospitals in France: The Recent Experience of Comprehensive Cancer Centers

Big Data and Artificial Intelligence can profoundly transform medical practices, particularly in oncology. Comprehensive Cancer Centers have a major role to play in this revolution. With the purpose of advancing our knowledge and accelerating cancer research, it is urgent to make this pool of data usable through the development of robust and effective data warehouses. Through the recent experience of Comprehensive Cancer Centers in France, this article shows that, while the use of hospital data warehouses can be a source of progress by taking into account multisource, multidomain and multiscale data for the benefit of knowledge and patients, it nevertheless raises technical, organizational and legal issues that still need to be addressed. The objectives of this article are threefold: 1. to provide insight on public health stakes of development in Comprehensive Cancer Centers to manage cancer patients comprehensively; 2. to set out a challenge of structuring the data from within them; 3. to outline the legal issues of implementation to carry out real-world evidence studies. To meet objective 1, this article firstly proposed a discussion on the relevance of an integrated approach to manage cancer and the formidable tool that data warehouses represent to achieve this. To address objective 2, we carried out a literature review to screen the articles published in PubMed and Google Scholar through the end of 2022 on the use of data warehouses in French Comprehensive Cancer Centers. Seven publications dealing specifically with the issue of data structuring were selected. To achieve objective 3, we presented and commented on the main aspects of French and European legislation and regulations in the field of health data, hospital data warehouses and real-world evidence.

Risk of major adverse cardiovascular events in patients initiating biologics/apremilast for psoriatic arthritis: a nationwide cohort study

Objective

Several biological DMARDs (bDMARDs) have demonstrated anti-inflammatory effects in PsA. However, their comparative cardiovascular safety profiles remain unknown. We evaluated the risk of major adverse cardiovascular events (MACEs) in PsA patients on therapy with different classes of bDMARDs and apremilast.

Methods

This nationwide cohort study involved the administrative healthcare database of the French health insurance scheme linked to the hospital discharge database. All adults with PsA who were new users of bDMARDs/apremilast (neither in the year before the index date) during 2015–19 were included. Patients with previous cardiovascular diseases were excluded. End of follow-up was 31 December 2019. The primary endpoint was an occurrence of MACEs in a time-to-event analysis with propensity score-weighted Cox and Fine–Gray models.

Results

Between 2015 and 2019, we included 9510 bDMARD new users [mean age 48.5 (s.d. 12.7) years; 42% men], including 7289 starting a TNF inhibitor, 1058 an IL-12/23 inhibitor and 1163 an IL-17 inhibitor, with 1885 apremilast new users [mean age 54.0 (s.d. 12.5) years; 44% men]. MACEs occurred in 51 (0.4%) patients. After propensity score weighting, the risk of MACEs was significantly greater with IL-12/23 (weighted hazard ratio 2.0, 95% CI 1.3, 3.0) and IL-17 (weighted hazard ratio 1.9, 95% CI 1.2, 3.0) inhibitors than TNF inhibitors, with no significant increased risk with apremilast (weighted hazard ratio 1.3, 95% CI 0.8, 2.2). Similar results were observed with the Fine–Gray competing risks survival model.

Conclusion

Analysis of a large database revealed a small overall number of MACEs, and the risk of MACEs was greater for PsA new users of IL-12/23 and IL-17 vs TNF inhibitors.

Epidemiologic study of patients with psoriatic arthritis in a real-world analysis: a cohort study of the French health insurance database

OBJECTIVE

PsA is a chronic inflammatory arthritis with heterogeneous disease manifestations. Data on the prevalence of PsA in adults differ widely depending on the study and the country. This study aimed to estimate the prevalence and incidence of PsA in France, characterize comorbidities associated to PsA and identify prescribed treatments.

METHODS

This nationwide cohort study involved the administrative healthcare database (Système National des Données de Santé) of the French health insurance scheme linked to the national hospital discharge database. All adults with PsA registered in the database and identified with a specific International Classification of Diseases, 10th revision code (M07) were included between 1 January 2015 and 31 December 2018.

RESULTS

A total of 63 598 patients were identified as having PsA [55.9 years (s.d. 14.4), 45.6% males]. The prevalence of PsA was estimated at 0.1% and the incidence at 8.4 per 100 000 person-years in the general population. The most common comorbidities were hypertension, diabetes, chronic obstructive pulmonary disease and dyslipidaemia. The prevalence of treatment with conventional synthetic DMARDs (csDMARDs), biological or biosimilar DMARDs (b/bsDMARDs) and apremilast for PsA was 25.9% (16 453), 30.4% (19 325) and 3.5% (2231), respectively. Overall, 8966 (14.1%) patients were new users of csDMARDs, 8311 (13.1%) were new users of b/bsDMARDs and 1529 (7.4%) were new users of apremilast. The most common first-line csDMARD was methotrexate (70.9%) and the most frequent first-line b/bsDMARD was adalimumab (30.8%).

CONCLUSION

Our results lead to a better understanding of PsA. Results were similar to those from other published studies using other data sources, which highlights the reliability of insurance databases for studies.

Is the type 2 diabetes epidemic plateauing in France? A nationwide population-based study

AIM

Nationwide data on the evolution of diabetes incidence and prevalence are scarce in France. For this reason, our objectives were to determine type 2 diabetes prevalence and incidence rates between 2010 and 2017, stratified by gender, age and region, and to assess annual time trends over the study period in adults aged≥45 years.

METHODS

Diabetes cases in the National Health Data System (SNDS), which covers the entire French population (66 million people), were identified through a validated algorithm. Gender- and age-specific prevalence and incidence rates were estimated. Negative binomial models, adjusted for gender, age and region, were used to assess annual time trends for prevalence and incidence throughout the study period.

RESULTS

During 2017, 3,144,225 diabetes cases aged≥45 years were identified. Over the study period, prevalence increased slightly (men from 11.5% to 12.1%, women from 7.9% to 8.4%) whereas incidence decreased (men from 11 to 9.7, women from 7.2 to 6.2 per 1000 person-years). In only four groups did prevalence rates decrease: men aged 45-65 years; women aged 45-60 years; women in Reunion; and women in Martinique. An increasing annual time trend was observed for prevalence (men: +0.9% [95% CI: +0.7%, +1%]; women: +0.4% [95% CI: +0.2%, +0.6%]) with a decreasing annual time trend for incidence in both genders (men: -2.6% [95% CI: -3.1%, -2.0%]; women: -3.9% [95% CI: -4.5%, -3.4%]).

CONCLUSION

Further efforts towards diabetes prevention are required to ensure that incidence rates in France continue to diminish, as the disorder continues to represent an important public-health burden.