Instructions for Authors

Nonadherence to medical therapy is frequently encountered in patients with inflammatory bowel disease (IBD). We aimed to identify predictors for future (non)adherence in IBD

Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods

Gibbons CL, Mangen M-JJ, Plaß D, et al. Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods. BMC Public Health. 2014;14(1): 147.Background: Efficient and reliable surveillance and notification systems are vital for monitoring public health and disease outbreaks. However, most surveillance and notification systems are affected by a degree of underestimation (UE) and therefore uncertainty surrounds the 'true' incidence of disease affecting morbidity and mortality rates. Surveillance systems fail to capture cases at two distinct levels of the surveillance pyramid: from the community since not all cases seek healthcare (under-ascertainment), and at the healthcare-level, representing a failure to adequately report symptomatic cases that have sought medical advice (underreporting). There are several methods to estimate the extent of under-ascertainment and underreporting. Methods: Within the context of the ECDC-funded Burden of Communicable Diseases in Europe (BCoDE)-project, an extensive literature review was conducted to identify studies that estimate ascertainment or reporting rates for salmonellosis and campylobacteriosis in European Union Member States (MS) plus European Free Trade Area (EFTA) countries Iceland, Norway and Switzerland and four other OECD countries (USA, Canada, Australia and Japan). Multiplication factors (MFs), a measure of the magnitude of underestimation, were taken directly from the literature or derived (where the proportion of underestimated, under-ascertained, or underreported cases was known) and compared for the two pathogens. Results: MFs varied between and within diseases and countries, representing a need to carefully select the most appropriate MFs and methods for calculating them. The most appropriate MFs are often disease-,country-, age-, and sex-specific. Conclusions: When routine data are used to make decisions on resource allocation or to estimate epidemiological parameters in populations, it becomes important to understand when, where and to what extent these data represent the true picture of disease, and in some instances (such as priority setting) it is necessary to adjust for underestimation. MFs can be used to adjust notification and surveillance data to provide more realistic estimates of incidence

Health and economic burden of Campylobacter

&lt;p&gt;Burden assessment plays an increasingly important and accepted role in food safety decision making. Burden assessment is a top–down approach that uses available epidemiological data, for example, generated through surveillance systems, to generate estimates of the health and economic impact of the concerned foodborne disease. In this Chapter, we review methods for quantifying the health and economic impact of Campylobacter. Estimates of the health impact of Campylobacter, quantified as the number of disability-adjusted life years due to acute illness, sequelae, and death, are now available at global and national level. Campylobacter is estimated to be the sixth most important contributor to the global burden of foodborne disease, and is consistently ranked among the leading causes of foodborne disease burden in high-income countries. Estimates of the Campylobacter cost-of-illness (COI) are available for several countries, and information is increasingly being generated on industry and government costs.&lt;/p&gt;</p

The impact of community-acquired pneumonia on the health-related quality-of-life in elderly

BACKGROUND: The sustained health-related quality-of-life of patients surviving community-acquired pneumonia has not been accurately quantified. The aim of the current study was to quantify differences in health-related quality-of-life of community-dwelling elderly with and without community-acquired pneumonia during a 12-month follow-up period. METHODS: In a matched cohort study design, nested in a prospective randomized double-blind placebo-controlled trial on the efficacy of the 13-valent pneumococcal vaccine in community-dwelling persons of ≥65 years, health-related quality-of-life was assessed in 562 subjects hospitalized with suspected community-acquired pneumonia (i.e. diseased cohort) and 1145 unaffected persons (i.e. non-diseased cohort) matched to pneumonia cases on age, sex, and health status (EQ-5D-3L-index). Health-related quality-of-life was determined 1-2 weeks after hospital discharge/inclusion and 1, 6 and 12 months thereafter, using Euroqol EQ-5D-3L and Short Form-36 Health survey questionnaires. One-year quality-adjusted life years (QALY) were estimated for both diseased and non-diseased cohorts. Separate analyses were performed for pneumonia cases with and without radiologically confirmed community-acquired pneumonia. RESULTS: The one-year excess QALY loss attributed to community-acquired pneumonia was 0.13. Mortality in the post-discharge follow-up year was 8.4% in community-acquired pneumonia patients and 1.2% in non-diseased persons (p < 0.001). During follow-up health-related quality-of-life was persistently lower in community-acquired pneumonia patients, compared to non-diseased persons, but differences in health-related quality-of-life between radiologically confirmed and non-confirmed community-acquired pneumonia cases were not statistically significant. CONCLUSIONS: Community-acquired pneumonia was associated with a six-fold increased mortality and 16% lower quality-of-life in the post-discharge year among patients surviving hospitalization for community-acquired pneumonia, compared to non-diseased persons. TRIAL REGISTRATION: ClinicalTrials.gov, NCT00812084

Hospitalization costs for community-acquired pneumonia in Dutch elderly : an observational study

BACKGROUND: Community-acquired pneumonia (CAP) is one of the most common infections, especially in the elderly (≥65 years). The aim of this study was to quantify hospitalization costs for CAP in different age groups and in patients with different CAP risk profiles. Secondary objectives were to assess disease severity differences between placebo and vaccine receiving participants and identify cost driving factors of CAP in hospitalized elderly in the Netherlands. METHODS: This prospective cohort study of hospitalized CAP patients was executed in parallel to the Community Acquired Pneumonia Immunization Trial in Adults (CAPiTA). Within the CAPiTA, a cohort of 84,496 subjects aged ≥65, all suspected CAP-episodes presenting in one of the 58 participating hospitals between September 2008 and August 2013 were included. CAP was diagnosed on clinical and radiographical criteria. Invasive pneumococcal disease (IPD) and non-IPD-CAP episodes, regardless of the causing pathogen, were evaluated separately. Costs were calculated by multiplying recorded healthcare resources with Dutch unit cost prices for the year 2012. Multivariate regression analysis was performed to identify cost drivers. RESULTS: In the sentinel hospitals 3225 suspected CAP and IPD episodes were included, of which 1933 were radiographically confirmed by chest X-ray. Analyses were conducted on confirmed CAP episodes only. Overall mean length of hospital stay was 12.1 days, the in-hospital mortality rate was 11.26 %, and mean costs were €8301 (95 % CI: €7760-€8999). When stratified in age-categories 65-74, 75-84 and ≥85, mean hospitalization costs were €8674, €8770 and €6197, respectively (p = 0.649). IPD-CAP and non-IPD-CAP mean hospitalization costs were €13,611 and €8081, respectively. Higher CURB-65 score and individuals at medium risk for developing pneumococcal disease were significantly associated with higher costs. Being male, lower age, previous admissions, lower risk, lower urbanity and higher socio-economic status were associated with lower costs. CONCLUSIONS: Mean hospitalization costs of a CAP subject were €8301 and higher for IPD-CAP compared to non-IPD-CAP cases. Medium risk patients and higher CURB-65 scores were identified as cost driving factors

Accounting for long-term manifestations of Cryptosporidium spp infection in burden of disease and cost-of-illness estimations, the Netherlands (2013-2017).

Burden of disease (BoD) estimations are increasingly used to prioritize public health interventions. Previous Cryptosporidium BoD models accounted only for acute episodes, while there is increasing evidence of long-term manifestations. Our objective was to update Cryptosporidium BoD and cost-of-illness (COI) models and to estimate BoD and COI for the Netherlands in years 2013-2017. We performed a scoping literature review and drew an outcome tree including long-term manifestations for which sufficient evidence was found, such as recurrent diarrhea and joint pain. We chose the Disability-Adjusted Life Year (DALY) metric to synthesize years of life lost due mortality (YLLs) and years lived with disability due to non-fatal outcomes (YLDs). For the costs, we adopted a societal perspective accounting for direct healthcare costs, patient costs and productivity losses. Uncertainty was managed using Latin Hypercube sampling (30,000 iterations). In the Netherlands in 2017, we estimated 50,000 Cryptosporidium cases (95% uncertainty interval (UI): 15,000-102,000), 7,000 GP visits, 300 hospitalizations and 3 deaths, resulting in 137 DALYs (95%UI: 54-255) and €19.2 million COI (95%UI: €7.2 million- €36.2 million). Estimates were highest for 2016 (218 DALYs and €31.1 million in COI), and lowest in 2013 (100 DALYs and €13.8 million in COI). Most of the BoD was attributable to YLD (≈80% of DALYs). The most important cost was productivity losses (≈90% of total COI). Long-term manifestations, including recurring diarrhea and joint pain, accounted for 9% of the total DALYs and 7% of the total COI. Current evidence supports the inclusion of long-term manifestations in Cryptosporidium models, which contribute close to 10% of the total DALYs and costs. This may be an underestimation, as we were conservative in our assumptions. Cryptosporidium should be considered a priority organism with respect to public health surveillance, even in industrialized countries with high hygiene standards

Hospitalization costs for community-acquired pneumonia in Dutch elderly : an observational study

BACKGROUND: Community-acquired pneumonia (CAP) is one of the most common infections, especially in the elderly (≥65 years). The aim of this study was to quantify hospitalization costs for CAP in different age groups and in patients with different CAP risk profiles. Secondary objectives were to assess disease severity differences between placebo and vaccine receiving participants and identify cost driving factors of CAP in hospitalized elderly in the Netherlands. METHODS: This prospective cohort study of hospitalized CAP patients was executed in parallel to the Community Acquired Pneumonia Immunization Trial in Adults (CAPiTA). Within the CAPiTA, a cohort of 84,496 subjects aged ≥65, all suspected CAP-episodes presenting in one of the 58 participating hospitals between September 2008 and August 2013 were included. CAP was diagnosed on clinical and radiographical criteria. Invasive pneumococcal disease (IPD) and non-IPD-CAP episodes, regardless of the causing pathogen, were evaluated separately. Costs were calculated by multiplying recorded healthcare resources with Dutch unit cost prices for the year 2012. Multivariate regression analysis was performed to identify cost drivers. RESULTS: In the sentinel hospitals 3225 suspected CAP and IPD episodes were included, of which 1933 were radiographically confirmed by chest X-ray. Analyses were conducted on confirmed CAP episodes only. Overall mean length of hospital stay was 12.1 days, the in-hospital mortality rate was 11.26 %, and mean costs were €8301 (95 % CI: €7760-€8999). When stratified in age-categories 65-74, 75-84 and ≥85, mean hospitalization costs were €8674, €8770 and €6197, respectively (p = 0.649). IPD-CAP and non-IPD-CAP mean hospitalization costs were €13,611 and €8081, respectively. Higher CURB-65 score and individuals at medium risk for developing pneumococcal disease were significantly associated with higher costs. Being male, lower age, previous admissions, lower risk, lower urbanity and higher socio-economic status were associated with lower costs. CONCLUSIONS: Mean hospitalization costs of a CAP subject were €8301 and higher for IPD-CAP compared to non-IPD-CAP cases. Medium risk patients and higher CURB-65 scores were identified as cost driving factors