[The impact of the COVID-19 pandemic on first-line primary care in southeastern France: Feedback on the implementation of a real-time monitoring system based on regional health insurance data]. / L'impact de l'épidémie de COVID-19 sur les soins de premier recours en région Provence-Alpes-Côte d'Azur : retour d'expérience sur la mise en place d'un dispositif de surveillance en temps réel à partir des données régionales de l'Assurance maladie.

BACKGROUND: Starting in spring 2020, the COVID-19 pandemic markedly impacted the French healthcare system. Lockdown and risks of exposure to the coronavirus induced patients to modify their ways of use. The objective of this article was to share feedback on the implementation of a real-time monitoring system concerning (a) the activity of private practitioners in southeastern France, and (b) the evolution of reimbursements for drugs prescribed to persons with diabetes, for treatment of mental health disorders, and for performance of some vaccines. METHODS: Data regarding 2019 and 2020 were extracted from regional health insurance databases. They were used to elaborate several indicators relative to the general health insurance scheme, which were calculated and updated each week, starting with week 2. RESULTS: We observed a drop in private physician activity during the lockdown (-23% for general practitioners; -46% for specialist doctors), followed by a return to a semblance of normalcy. Concomitantly, a boom in teleconsultations occurred: at the height of the crisis they represented 30% of medical acts. The initial stage of the lockdown was characterized by peak provisioning for drugs, whereas vaccination strongly declined (-39% regarding measles, mumps and rubella vaccine among children aged less than 5 years; -54% regarding human papillomavirus vaccine among girls aged 10 to 14 years). CONCLUSION: The COVID-19 pandemic could lead to health effects other than those directly attributable to the coronavirus itself. Renouncing care may result in healthcare delays highly deleterious for people and society. Public authorities are preoccupied with these questions; they have set up action plans aimed at encouraging patients to seek treatment without delay. That said, the COVID-19 pandemic crisis has also created opportunities, such as the expansion of telemedicine. Although partial, these indicators can provide useful information enabling public decision makers to be reactive and to implement specific actions to meet the health needs of the population.

The impact of the COVID-19 epidemic on primary care in South-eastern France: implementation of a real-time monitoring system based on regional health insurance system data.

BACKGROUND: The spring 2020 COVID-19 epidemic severely impacted France's healthcare system. The associated lockdown (17 March- 11 May 2020) and the risk of exposure to SARS-CoV-2 led patients to change their use of healthcare. This article presents the development and implementation of a real-time system to monitor i) private doctors' activity in South-eastern France, and ii) changes in prescription of drugs for people with diabetes, mental health disorders and for certain vaccines from Mars 2020 to October 2020. METHODS: Data extracted from the regional healthcare insurance databases for 2019 and 2020 were used to construct indicators of healthcare use. They were calculated on a weekly basis, starting from week 2 2020 and compared for the same period between 2019 and 2020. RESULTS: Private doctors' activity decreased during the spring 2020 lockdown (by 23 % for general practitioners and 46 % for specialists), followed by an almost complete return to normal after it ended until week 41. Over the same period, a huge increase in teleconsultations was observed, accounting for 30 % of private doctors' consultations at the height of the crisis. The start of the lockdown was marked by a peak in drug prescriptions, while vaccinations declined sharply (by 39 % for the measles, mumps and rubella (MMR) vaccine in children under 5 years old, and by 54 % for human papillomavirus vaccine in girls aged 10-14 years old). CONCLUSION: The ongoing COVID-19 epidemic may lead to health consequences other than those directly attributable to the disease itself. Specifically, lockdowns and foregoing healthcare could be very harmful at the individual and population levels. The latter issue is a concern for French public authorities, which have implemented actions aimed at encouraging patients to immediately seek treatment. However, the COVID-19 crisis has also created opportunities, such as the roll-out of teleconsultation and tele-expertise. The indicators described here as part of the monitoring system can help public decision-makers to become more responsive and to implement tailored actions to better meet the general population's healthcare needs.

[Relevance of the health insurance databases to study spatial disparities in asthma prevalence: A study in southeastern France]. / Intérêt des données de remboursement de l'assurance-maladie pour l'étude des disparités territoriales de la prévalence de l'asthme : une étude en Provence-Alpes-Côte d'Azur.

BACKGROUND: Data on asthma prevalence at a small-area level would be useful to set up and monitor French local public health policies. This study, based on drug reimbursement databases in southeastern France, aimed to (1) compare asthma-like disorders prevalence estimated by using three different indicators; (2) study sociodemographic characteristics associated with these indicators; (3) verify whether these indicators are equivalent to study geographical disparities of the asthma-like disorders prevalence at a small-area level. METHODS: The study was conducted among the beneficiaries of the National Health Insurance Fund aged 18-44 years residing in southeastern France in 2010 (n=1,371,816). Using data on asthma drugs reimbursements (therapeutic class R03), we built three indicators to assess asthma-like disorders prevalence: at least 1, 2 or 3 purchase(s) in 2010. We analyzed sociodemographic characteristics associated with these indicators, and their geographical disparities at a small-area level using multilevel logistic regression models. RESULTS: The crude asthma-like disorders prevalence varied between 2.6 % and 8.4 % depending on the indicator. It increased with age, was higher for women than for men, and among low-income people for all three indicators. We measured significant geographical disparities. Areas with high prevalence rates were the same regardless of the indicator. CONCLUSION: The indicators built in this study can be useful to identify high prevalence areas. They could contribute to launch discussion on environmental health issues at the local level.

Is exposure to night-time traffic noise a risk factor for purchase of anxiolytic-hypnotic medication? A cohort study.

BACKGROUND: Studies suggest that road traffic noise increases risks of sleep disturbances, anxiety and depressive symptoms, but few have focused on psychotropic drug use. We examined whether exposure to night-time road traffic noise in Marseilles (France) is associated with an increased risk of purchasing anxiolytic or hypnotic medications. METHODS: Cohort of 190,617 inhabitants of Marseilles (aged 18-64 years) covered by the National Health Insurance Fund. We used the CadnaA noise propagation prediction model to calculate a potential road noise exposure indicator at dwellings for the night-period: Ln. Association between the number of purchases of anxiolytics-hypnotics in 2008-9 and the Ln was analysed with a zero-inflated negative binomial (ZINB) model adjusted for characteristics of individuals (sociodemographic, consultations with general practitioners, presence of chronic psychiatric disorder), prescribers (demographic, specialty, workload) and neighbourhoods (medical density, complaints filed for environmental noise). Analyses were stratified by the deprivation level of the census block of residence to control for the confounding effects of neighbourhood socio-economic status. RESULTS: The ZINB model showed a small but significant increase in the risk of purchasing higher numbers of anxiolytics-hypnotics for Ln greater than 55 dB(A) only in the low deprivation stratum. CONCLUSION: We found some evidence that potential exposure to night-time road traffic noise might affect individual use of anxiolytics-hypnotics. Further research based on strictly individual approaches is warranted to assess exposure to road traffic noise more precisely and reliably than allowed by noise propagation prediction models.

[Potentially inappropriate prescriptions for the elderly: a study of health insurance reimbursements in Southeastern France]. / Prescriptions médicamenteuses potentiellement inadaptées chez les personnes âgées : une étude en Provence-Alpes-Côte d'Azur à partir des données de remboursements de l'Assurance maladie.

BACKGROUND: This study conducted in the region of Provence-Alpes-Côte d'Azur (PACA) sought to assess the feasibility of constructing and using indicators of potentially inappropriate prescriptions for the elderly from health insurance reimbursement data. We present and discuss different indicators of inappropriate prescriptions for people aged 70 years or older (at-risk prescriptions, dangerous or at-risk coprescriptions, absence of necessary coprescriptions) and reports their prevalence in PACA. METHODS: The indicators were constructed from the French list of inappropriate prescriptions, national agency guidelines, and the advice of experts in the field. The indicators selected were applied to the databases of the PACA Salaried Workers' Health Insurance Fund for 2008 for all recipients aged 70 years or older and compared according to age, sex, chronic disease status, and, after standardization for age and sex, according to district of residence. RESULTS: In January 2009, 500,904 recipients aged 70 years or older were identified in the data base of the Salaried Workers' Health Insurance Fund, 60.8% of whom were women and 52.1% of whom had approved coverage for a chronic disease. The potentially inappropriate prescriptions most frequently observed here, in decreasing order, were: prescription of an NSAID without the coprescription of gastric protection (28.1%); long-term benzodiazepine treatment (21.5%); prescription of long half-life benzodiazepine (14.9%), and long-term treatment with NSAIDs (11.6%). Overall, the prevalence of each increased significantly with age and was higher among women and people with chronic diseases. Significant variations were also observed between the different districts of PACA. CONCLUSION: Our results confirm that a substantial proportion of elderly people receive potentially inappropriate prescriptions. They also suggest that health insurance reimbursement data could be used in some prescription domains for monitoring trends in the potentially inappropriate prescriptions in the populations of various territories, provided that specific limitations are considered.

Gestational Age, Socioeconomic Context and Infection-Related Hospital Admissions of Infants Born With Gestational Age Less Than 33 Weeks.

Using data from a regional medical follow-up network database of preterm infants born with gestational age (GA) <33 weeks, we found that low GA and deprived socioeconomic neighborhoods increased incidence of infection-related hospitalization during the first year of life. Respiratory tract infections rates were higher in extremely preterm infants.

Feedback and lessons from the prescription of rimonabant, a drug to be used under strict guidelines, in southeastern France, March 2007 through June 2008.

BACKGROUND: To provide feedback on the initial market authorization of rimonabant, a drug to be used under strict guidelines, we conducted a study with information from the National health insurance reimbursements database for southeastern France. The aims of this study were to: (1) describe the characteristics of subjects who have had one rimonabant prescription reimbursed; (2) study the frequency of prescriptions that did not comply with reimbursement criteria; (3) study the frequency of prescriptions for patients simultaneously treated with antidepressants; and (4) analyse the factors associated with both types of prescription (patient and prescriber characteristics). METHODS: Using the database of drug reimbursements maintained by the southeastern France general health insurance fund, we studied the characteristics of outpatients with at least one reimbursement for rimonabant, compared them to the rest of the population, and analysed compliance with the indications, contraindications, and regulations for rimonabant prescription with multivariate logistic regressions. RESULTS: A total of 10,510 beneficiaries (0.28%) had at least one rimonabant reimbursement. Among them, 55.7% were treated for diabetes. For at least 62.4% of rimonabant beneficiaries, the reimbursement regulations were not respected: this was significantly more frequent among women less than 57 years old, subjects with no chronic diseases, and when the prescriber was not an endocrinologist; 11.4% of rimonabant beneficiaries also received an antidepressant treatment. CONCLUSION: Despite the specific status of rimonabant regarding its reimbursement modalities, these results suggest that some prescribers get around reimbursement instructions and that a significant percentage of prescriptions did not respect an important contraindication. Tools to follow up the prescriptions of new drugs with strict guidelines for use should be developed and physicians should be better informed and trained regarding specific prescription regulations.

[Impact of the estimation of the medically insured population on the pharmacological prevalence of diabetes at the regional and small area level]. / Impact de l'estimation de la population affiliée à l'assurance-maladie sur le calcul de la prévalence pharmacologique du diabète à l'échelle régionale et territoriale.

BACKGROUND: Data derived from Health Insurance databases are very useful for health observation. These data are however still underused, particularly for small local areas. This may be partly explained by the lack of reliable data on the number of insured people. Recent simplification of the Répertoire national interrégimes de l'assurance-maladie (RNIAM) indicator (French register of health insurance) gives the opportunity to improve the usefulness of these databases. This indicator specifies the beneficiaries' status towards the General Health Insurance Fund. This study aimed to select the population of beneficiaries, which could be most adequately used to calculate health indicators based on these data. METHODS: Data were collected from the outpatient database of the Southeastern France General Health Fund. We compared beneficiaries' characteristics according to the RNIAM indicator, calculated the annual unadjusted and age-adjusted regional and local prevalence of diabetes mellitus in two different populations: the whole initial beneficiaries database, and the population of "effective" beneficiaries (persons whose reimbursements were effectively managed by the General Health Insurance). RESULTS: The initial database included 4,817,871 beneficiaries. Almost 80% were in the "effective" population, 14% had left the General Health Insurance, or Southeastern France, and 4% were doubles. The annual unadjusted prevalence of diabetes mellitus was 3.31% in the initial database, and more than 20% higher when calculated among "effective" beneficiaries. Impact on aged-adjusted prevalence was less important (+9% at regional level), but the increase varied from 6 to 42% for the small local areas. Impact was much higher on age and gender specific rates. CONCLUSION: When Health Insurance databases are used to calculate health indicators at various geographical levels, only "effective" beneficiaries should be selected. The methodology for determining health indicators might be improved by updating databases (e.g. the date of the RNIAM indicator last update should be added).

Prevalence of treated diabetes: Geographical variations at the small-area level and their association with area-level characteristics. A multilevel analysis in Southeastern France.

AIM: This study estimated geographical variations in the prevalence of treated diabetes (TD) at the small-area level in Southeastern France to determine whether or not the characteristics of these areas (in particular, socioeconomic status or "SES") are associated with TD independent of person-level factors. METHODS: The study used drug reimbursement data for 2008 from the General Health Insurance Scheme in Southeastern France for beneficiaries aged 18 years or over. TD patients were defined as those to whom oral antidiabetic drugs or insulin had been dispensed at least three times within the year. Area (canton) characteristics associated with the prevalence of TD were studied using multilevel Poisson regression. RESULTS: In 2008, the crude prevalence of TD in adults in Southeastern France was 5.14%. In addition, TD prevalence was significantly higher in the more deprived and population-dense cantons independent of person-level factors (age, gender, low SES). CONCLUSION: This study found a positive association between area deprivation and TD, and adds further evidence to the scanty data so far available on this topic. This finding should contribute to pinpointing priority action areas for programmes of diabetes prevention. However, more research is needed to further elucidate the mechanism(s) linking area deprivation and diabetes.