Importance de la surveillance en santé publique et utilité des données administratives

Pefoyo, Anna J. Koné; Rivard, Marie-Claude; Laurier, Catherine

doi:10.1016/j.respe.2008.11.003

Cited by 10 publications

(8 citation statements)

References 25 publications

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“…These data provide relevant information to stakeholders for public health, healthcare management or policy planning [34] that must be analysed by taking their limitations into account.…”

Section: Resultsmentioning

confidence: 99%

Estimating the prevalence of depression associated with healthcare use in France using administrative databases

et al. 2017

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BackgroundQuantitative indicators are needed in order to define priorities, plan policies and evaluate public health interventions in mental health. The aim of this study was to assess the contribution of a large and exhaustive French national administrative database to study and monitor treated depression by comparing the prevalence and characteristics of the population using significant healthcare resources for depression as identified by different estimation methods and sources and to discuss the advantages and drawbacks of these methods.MethodsThis study included the French population covered by the main health insurance scheme in 2012 (Régime général, 86% of the insured French population). Data were extracted from the French health insurance claim database (SNIIRAM), which contains information on all reimbursements, including treatments and hospital stays in France. The following distinct sources of the SNIIRAM were used to select persons with depression: diagnoses of long-term or costly conditions, data from national hospital claims and data concerning all national health insurance reimbursements for drugs.ResultsIn 2012, we included 58,753,200 individuals covered by the main health insurance scheme; 271,275 individuals had full coverage for depression; 179,470 individuals had been admitted to a psychiatric hospital and 66,595 individuals admitted to a general hospital with a diagnosis of depression during a 2-year timeframe and 144,670 individuals had more than three reimbursements for antidepressants during the study year (with a history of hospitalisation for depression during the past 5 years). Only 16% of individuals were selected by more than one source.ConclusionsWe propose an algorithm that includes persons recently hospitalised for depression, or with a history of hospitalisation for depression and still taking antidepressants, or with full coverage for depression as a specific long-term or costly condition, yielding a prevalence estimate of 0.93% or 544,105 individuals. Changes in the case selection methodology have major consequences on the frequency count and characteristics of the selected population, and consequently on the conclusions that can be drawn from the data, emphasizing the importance of defining the characteristics of the target population before the study in order to produce relevant results.

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“…These data provide relevant information to stakeholders for public health, healthcare management or policy planning [34] that must be analysed by taking their limitations into account.…”

Section: Resultsmentioning

confidence: 99%

Estimating the prevalence of depression associated with healthcare use in France using administrative databases

et al. 2017

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“…This is appropriate for individual clinical practices, but population-based analyses require a less resource-intensive approach. Administrative data have been demonstrated to be a relevant alternative [ 49 - 51 ] and a combination of multiple sources of data (hospital and physician) can contribute to produce more reliable estimates. In our study, multiple databases were used to ascertain the cases, including hospital stay (DAD), physician visits (OHIP), and validated disease cohorts.…”

Section: Discussionmentioning

confidence: 99%

“…With appropriate cases definitions, health administrative data can provide valid proxies of clinical status and allow for a suitable estimation of the prevalence or surveillance of chronic conditions [ 49 , 51 ]. An appropriate estimation of the prevalence of multimorbidity depends on the case definition (including selection of conditions), the source of information and the sampling or recruitment strategies [ 52 ].…”

Section: Discussionmentioning

confidence: 99%

The increasing burden and complexity of multimorbidity

et al. 2015

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BackgroundMultimorbidity, the co-occurrence of two or more chronic conditions, is common among older adults and is known to be associated with high costs and gaps in quality of care. Population-based estimates of multimorbidity are not readily available, which makes future planning a challenge. We aimed to estimate the population-based prevalence and trends of multimorbidity in Ontario, Canada and to examine patterns in the co-occurrence of chronic conditions.MethodsThis retrospective cohort study includes all Ontarians (aged 0 to 105 years) with at least one of 16 common chronic conditions. Descriptive statistics were used to examine and compare the prevalence of multimorbidity by age and number of conditions in 2003 and 2009. The co-occurrence of chronic conditions among individuals with multimorbidity was also explored.ResultsThe prevalence of multimorbidity among Ontarians rose from 17.4% in 2003 to 24.3% in 2009, a 40% increase. This increase over time was evident across all age groups. Within individual chronic conditions, multimorbidity rates ranged from 44% to 99%. Remarkably, there were no dominant patterns of co-occurring conditions.ConclusionThe high prevalence of multimorbidity and numerous combinations of conditions suggests that single, disease-oriented management programs may be less effective or efficient tools for high quality care compared to person-centered approaches.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-015-1733-2) contains supplementary material, which is available to authorized users.

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“…We used the QICDSS for our study, which is an innovative chronic disease surveillance system. It meets the five basic requirements of a public health surveillance system and it is based on health services use [26, 35–37]. Surveillance is important to measure the evolution of the health status of the population and the QICDSS is the most appropriate way to conduct chronic disease surveillance in Quebec [26].…”

Section: Discussionmentioning

confidence: 99%

Frailty and health services use among Quebec seniors with non-hip fractures: a population-based study using adminsitrative databases

Fillion¹,

Sirois²,

Gamache

et al. 2019

BMC Health Serv Res

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BackgroundThe number of frail elderly will increase as the world population ageing accelerates. Since frail elders are at risk of falls, hospitalizations and disabilities, they will require more health care and services. To assess frailty prevalence using health administrative databases, to examine the association between frailty and the use of medical services and to measure the excess use of health services following a non-hip fracture across frailty levels among community-dwelling seniors.MethodsA population-based cohort study was built from the Quebec Integrated Chronic Disease Surveillance System, including men and women ≥65 years old, non-institutionalized in the pre-fracture year. Frailty was measured using the Elders Risk Assessment (ERA) index. Multivariate Generalized Estimating Equation models were used to examine the relationship between frailty levels and health services while adjusting for covariates. The excess numbers of visits to Emergency Departments (ED) and to Primary Care Practitioners (PCP) as well as hospitalizations were also estimated.ResultsThe cohort included 178,304 fractures. There were 13.6 and 5.2% frail and robust seniors, respectively. In the post-fracture year, the risks of ED visits, PCP visits and hospitalizations, were significantly higher in frail vs. non-frail seniors: adjusted relative risk (RR) = 2.69 [95% CI: 2.50–2.90] for ED visits, RR = 1.28 [95% CI: 1.23–1.32] for PCP visits and RR = 2.34 [95% CI: 2.14–2.55] for hospitalizations.ConclusionOur results suggest that it is possible to characterize seniors’ frailty status at a population level using health administrative databases. Furthermore, this study shows that non-institutionalized frail seniors require more health services after an incident fracture. Screening for frailty in seniors should be part of clinical management in order to identify those at a higher risk of needing health services.Electronic supplementary materialThe online version of this article (10.1186/s12913-019-3865-z) contains supplementary material, which is available to authorized users.

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Importance de la surveillance en santé publique et utilité des données administratives

Cited by 10 publications

References 25 publications

Estimating the prevalence of depression associated with healthcare use in France using administrative databases

Estimating the prevalence of depression associated with healthcare use in France using administrative databases

The increasing burden and complexity of multimorbidity

Frailty and health services use among Quebec seniors with non-hip fractures: a population-based study using adminsitrative databases

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