Ability of municipality-level deprivation indices to capture social inequalities in perinatal health in France: A nationwide study using preterm birth and small for gestational age to illustrate their relevance.

BACKGROUND: Evidence-based policy-making to reduce perinatal health inequalities requires an accurate measure of social disparities. We aimed to evaluate the relevance of two municipality-level deprivation indices (DIs), the French-Deprivation-Index (FDep) and the French-European-Deprivation-Index (FEDI) in perinatal health through two key perinatal outcomes: preterm birth (PTB) and small-for-gestational-age (SGA). METHODS: We used two data sources: The French National Perinatal Surveys (NPS) and the French national health data system (SNDS). Using the former, we compared the gradients of the associations between individual socioeconomic characteristics (educational level and income) and "PTB and SGA" and associations between municipality-level DIs (Q1:least deprived; Q5:most deprived) and "PTB and SGA". Using the SNDS, we then studied the association between each component of the two DIs (census data, 2015) and "PTB and SGA". Adjusted odds ratios (aOR) were estimated using multilevel logistic regression with random intercept at the municipality level. RESULTS: In the NPS (N = 26,238), PTB and SGA were associated with two individual socioeconomic characteristics: maternal educational level (≤ lower secondary school vs. ≥ Bachelor's degree or equivalent, PTB: aOR = 1.43 [1.22-1.68], SGA: (1.31 [1.61-1.49]) and household income (< 1000 € vs. ≥ 3000 €, PTB: 1.55 [1.25-1.92], SGA: 1.69 [1.45-1.98]). For both FDep and FEDI, PTB and SGA were more frequent in deprived municipalities (Q5: 7.8% vs. Q1: 6.3% and 9.0% vs. 5.9% for PTB, respectively, and 12.0% vs. 10.3% and 11.9% vs. 10.2% for SGA, respectively). However, after adjustment, neither FDep nor FEDI showed a significant gradient with PTB or SGA. In the SNDS (N = 726,497), no FDep component, and only three FEDI components were significantly associated (specifically, the % of the population with ≤ lower secondary level of education with both outcomes (PTB: 1.5 [1.15-1.96]); SGA: 1.25 [1.03-1.51]), the % of overcrowded (i.e., > 1 person per room) houses (1.63 [1.15-2.32]) with PTB only, and unskilled farm workers with SGA only (1.52 [1.29-1.79]). CONCLUSION: Some components of FDep and FEDI were less relevant than others for capturing ecological inequalities in PTB and SGA. Results varied for each DI and perinatal outcome studied. These findings highlight the importance of testing DI relevance prior to examining perinatal health inequalities, and suggest the need to develop DIs that are suitable for pregnant women. .

Perception of the SARS-CoV-2 pandemic by pregnant women during the first lockdown in France: worry, perceived vulnerability, adoption and maintenance of prevention measures according to the Covimater study.

Background: We aimed to describe pregnant women's worry about the SARS-CoV-2 pandemic, the associated reasons, their perceived vulnerability to this infection, and factors influencing continued poor/non-existent or decreased implementation of preventive measures over time. Method: A cross-sectional study was conducted in July 2020 using a web-questionnaire completed by 500 women who were pregnant during the first lockdown in France (March-May 2020). Questions focused on worry caused by the pandemic, perceived vulnerability to infection by SARS-CoV-2 and implementation of preventive measures during and after lockdown. A robust variance Poisson regression model was used to estimate adjusted prevalence ratios (aPR) for perceived vulnerability and continued poor/non-existent or decreased implementation of preventive measures. Results: Participants felt significantly more vulnerable to infection than women of childbearing age who were included in a parallel study on the French general population, but were significantly less worried about the pandemic. Obese participants and those who unsuccessfully sought exchanges with healthcare professionals about their infection risk felt significantly more vulnerable (aPR = 1.32 95%CI[1.05-1.64] and 1.88 [1.43-2.48], respectively). Participants with continued poor/non-existent or decreased implementation of preventive measures two months after the lockdown ended were more likely to have experienced violence during the lockdown (2.06, [1.32-3.22]), or to live in areas less affected by the pandemic (1.66 [1.05-2.62]). A good knowledge of viral transmission (0.54 [0.30-0.97]) and a high perceived vulnerability score (0.66 [0.44-0.99]) were associated with maintained/increased implementation of preventive measures. Conclusions: Our results can guide prevention and support policies for pregnant women during pandemics, current or future.

[Horizon scanning in preparation for future health threats: a pilot exercise conducted by the French Institute for Public Health Surveillance in 2014]. / La veille prospective, une démarche de préparation aux futures menaces de la santé publique : exercice mené à l'Institut de veille sanitaire en 2014.

Background: Health surveillance is a reactive process, with no real hindsight for dealing with signals and alerts. It may fail to detect more radical changes with a major medium-term or long-term impact on public health. To increase proactivity, the French Institute for Public Health Surveillance has opted for a prospective monitoring approach.Methods: Several steps were necessary: 1) Identification of public health determinants. 2) Identification of key variables based on a combination of determinants. Variables were classified into three groups (health event trigger factors, dissemination factors and response factors) and were submitted to future development assumptions. 3) Identification, in each of the three groups, of micro-scenarios derived from variable trends. 4) Identification of macro-scenarios, each built from the three micro-scenarios for each of the three groups. 5) Identification of issues for the future of public health.Results: The exercise identified 22 key variables, 17 micro-scenarios and 5 macro-scenarios. The topics retained relate to issues on social and territorial health inequalities, health burden, individual and collective responsibilities in terms of health, ethical aspects, emerging phenomena, 'Big data', data mining, new health technologies, interlocking of analysis scales.Conclusions: The approach presented here guides the programming of activities of a health safety agency, particularly for monitoring and surveillance. By describing possible future scenarios, health surveillance can help decision-makers to influence the context towards one or more favourable futures.