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Featured researches published by Helen Banks.


PLOS ONE | 2015

Mortality and Length of Stay of Very Low Birth Weight and Very Preterm Infants: A EuroHOPE Study

Dino Numerato; Giovanni Fattore; Fabrizio Tediosi; Rinaldo Zanini; Mikko Peltola; Helen Banks; Péter Mihalicza; Liisa Lehtonen; Sofia Sveréus; Richard Heijink; Søren Toksvig Klitkou; Eilidh Fletcher; Amber A. W. A. van der Heijden; Fredrik Lundberg; Eelco Over; Unto Häkkinen; Timo T. Seppälä

The objective of this paper was to compare health outcomes and hospital care use of very low birth weight (VLBW), and very preterm (VLGA) infants in seven European countries. Analysis was performed on linkable patient-level registry data from seven European countries between 2006 and 2008 (Finland, Hungary, Italy (the Province of Rome), the Netherlands, Norway, Scotland, and Sweden). Mortality and length of stay (LoS) were adjusted for differences in gestational age (GA), sex, intrauterine growth, Apgar score at five minutes, parity and multiple births. The analysis included 16,087 infants. Both the 30-day and one-year adjusted mortality rates were lowest in the Nordic countries (Finland, Sweden and Norway) and Scotland and highest in Hungary and the Netherlands. For survivors, the adjusted average LoS during the first year of life ranged from 56 days in the Netherlands and Scotland to 81 days in Hungary. There were large differences between European countries in mortality rates and LoS in VLBW and VLGA infants. Substantial data linkage problems were observed in most countries due to inadequate identification procedures at birth, which limit data validity and should be addressed by policy makers across Europe.


Journal of Crohns & Colitis | 2015

Hospital Burden and Gastrointestinal Surgery in Inflammatory Bowel Disease Patients in Italy: A Retrospective Observational Study

Michela Meregaglia; Helen Banks; Giovanni Fattore

BACKGROUNDS AND AIMS Despite recent advances in medical therapies for inflammatory bowel disease [IBD], little is known about their impact on inpatient management. Our objectives were to explore hospitalisation and surgery trends for all IBD patients in Italy at three time points over 7 years. METHODS National hospital discharge records were retrospectively reviewed for all admissions with a Crohns disease [CD, 555*] or ulcerative colitis [UC, 556*] diagnosis in 2005, 2008, and 2011. Quantitative variables [mean, standard deviation] and categorical variables [frequencies] were described; comparison among admission-years was made by analysis of variance and chi-square tests. A multivariate logistic regression analysis was performed to identify predictors of surgery risk regarding demographics, inpatient management, and clinical features; p-values ≤ 0.05 were considered statistically significant. RESULTS Overall, 109657 hospitalisations occurred over the 3 years, with a decreasing trend observed in UC admissions. Mean age was higher in UC [50.1±19.7] than in CD [43.2±21.9]. The number of paediatric admissions rose from 3637 to 4372 between 2005 and 2011. An increasing proportion of CD [from 12.4% to 14.6%] and UC [from 5.8% to 8.0%] admissions reported a digestive system-related, surgical diagnosis-related group in the same period; overall, gastrointestinal surgical admissions increased from 3299 to 3964. In regression analysis, male gender, age, admission year, northern university hospital, disease localisation, and cancer as independent factors significantly affected the likelihood of surgery. CONCLUSIONS Despite a reduction in total IBD hospitalisations, surgical and paediatric admissions rose over time. Further study is needed to clarify benefits associated with new drugs in terms of inpatient management.


Health Economics | 2015

Variations and Determinants of Mortality and Length of Stay of Very Low Birth Weight and Very Low for Gestational Age Infants in Seven European Countries

Giovanni Fatttore; Dino Numerato; Mikko Peltola; Helen Banks; Rebecca Graziani; Richard Heijink; Eelco Over; Søren Toksvig Klitkou; Eilidh Fletcher; Péter Mihalicza; Sofia Sveréus

The EuroHOPE very low birth weight and very low for gestational age infants study aimed to measure and explain variation in mortality and length of stay (LoS) in the populations of seven European nations (Finland, Hungary, Italy (only the province of Rome), the Netherlands, Norway, Scotland and Sweden). Data were linked from birth, hospital discharge and mortality registries. For each infant basic clinical and demographic information, infant mortality and LoS at 1 year were retrieved. In addition, socio-economic variables at the regional level were used. Results based on 16,087 infants confirm that gestational age and Apgar score at 5 min are important determinants of both mortality and LoS. In most countries, infants admitted or transferred to third-level hospitals showed lower probability of death and longer LoS. In the meta-analyses, the combined estimates show that being male, multiple births, presence of malformations, per capita income and low population density are significant risk factors for death. It is essential that national policies improve the quality of administrative datasets and address systemic problems in assigning identification numbers at birth. European policy should aim at improving the comparability of data across jurisdictions.


WOS | 2016

Parameter Heterogeneity In Breast Cancer Cost Regressions - Evidence From Five European Countries

Joel Smith; Helen Banks; Harry Campbell; Anne Douglas; Eilidh Fletcher; Alison McCallum; Tron Anders Moger; Mikko J. Peltola; Sofia Sveréus; Sarah H. Wild; Linda Williams; John Forbes

Abstract We investigate parameter heterogeneity in breast cancer 1‐year cumulative hospital costs across five European countries as part of the EuroHOPE project. The paper aims to explore whether conditional mean effects provide a suitable representation of the national variation in hospital costs. A cohort of patients with a primary diagnosis of invasive breast cancer (ICD‐9 codes 174 and ICD‐10 C50 codes) is derived using routinely collected individual breast cancer data from Finland, the metropolitan area of Turin (Italy), Norway, Scotland and Sweden. Conditional mean effects are estimated by ordinary least squares for each country, and quantile regressions are used to explore heterogeneity across the conditional quantile distribution. Point estimates based on conditional mean effects provide a good approximation of treatment response for some key demographic and diagnostic specific variables (e.g. age and ICD‐10 diagnosis) across the conditional quantile distribution. For many policy variables of interest, however, there is considerable evidence of parameter heterogeneity that is concealed if decisions are based solely on conditional mean results. The use of quantile regression methods reinforce the need to consider beyond an average effect given the greater recognition that breast cancer is a complex disease reflecting patient heterogeneity.


Health Economics | 2015

Parameter Heterogeneity In Breast Cancer Cost Regressions - Evidence From Five European Countries.

Joel Smith; Helen Banks; Harry Campbell; Anne Douglas; Eilidh Fletcher; Alison McCallum; Tron Anders Moger; Mikko Peltola; Sofia Sveréus; Sarah H. Wild; Linda Williams; John Forbes

Abstract We investigate parameter heterogeneity in breast cancer 1‐year cumulative hospital costs across five European countries as part of the EuroHOPE project. The paper aims to explore whether conditional mean effects provide a suitable representation of the national variation in hospital costs. A cohort of patients with a primary diagnosis of invasive breast cancer (ICD‐9 codes 174 and ICD‐10 C50 codes) is derived using routinely collected individual breast cancer data from Finland, the metropolitan area of Turin (Italy), Norway, Scotland and Sweden. Conditional mean effects are estimated by ordinary least squares for each country, and quantile regressions are used to explore heterogeneity across the conditional quantile distribution. Point estimates based on conditional mean effects provide a good approximation of treatment response for some key demographic and diagnostic specific variables (e.g. age and ICD‐10 diagnosis) across the conditional quantile distribution. For many policy variables of interest, however, there is considerable evidence of parameter heterogeneity that is concealed if decisions are based solely on conditional mean results. The use of quantile regression methods reinforce the need to consider beyond an average effect given the greater recognition that breast cancer is a complex disease reflecting patient heterogeneity.


BMC Pregnancy and Childbirth | 2018

The short-term economic burden of gestational diabetes mellitus in Italy

Michela Meregaglia; Livia Dainelli; Helen Banks; Chiara Benedetto; Patrick Detzel; Giovanni Fattore

BackgroundThe incidence of Gestational Diabetes Mellitus (GDM) is rising in all developed countries. This study aimed at assessing the short-term economic burden of GDM from the Italian healthcare system perspective.MethodsA model was built over the last pregnancy trimester (i.e., from the 28th gestational week until childbirth included). The National Hospital Discharge Database (2014) was accessed to estimate delivery outcome probabilities and inpatient costs in GDM and normal pregnancies (i.e., euglycemia). International Classification of Disease-9th Revision-Clinical Modification (ICD9-CM) diagnostic codes and Diagnosis-Related Group (DRG) codes were used to identify GDM cases and different types of delivery (i.e., vaginal or cesarean) within the database. Neonatal outcomes probabilities were estimated from the literature and included macrosomia, hypoglycemia, hyperbilirubinemia, shoulder dystocia, respiratory distress, and brachial plexus injury. Additional data sources such as regional documents, official price and tariff lists, national statistics and expert opinion were used to populate the model. The average cost per case was calculated at national level to estimate the annual economic burden of GDM. One-way sensitivity analyses and Monte Carlo simulations were performed to quantify the uncertainty around base case results.ResultsThe amount of pregnancies complicated by GDM in Italy was assessed at 54,783 in 2014 using a prevalence rate of 10.9%. The antenatal outpatient cost per case was estimated at €43.7 in normal pregnancies compared to €370.6 in GDM patients, which is equivalent to a weighted sum of insulin- (14%; €1034.6) and diet- (86%; €262.5) treated women’s costs. Inpatient delivery costs were assessed at €1601.6 and €1150.3 for euglycemic women and their infants, and at €1835.0 and €1407.7 for GDM women and their infants, respectively. Thus, the overall cost per case difference between GDM and normal pregnancies was equal to €817.8 (+ 29.2%), resulting in an economic burden of about €44.8 million in 2014 at national level. Probabilistic sensitivity analysis yielded a cost per case difference ranging between €464.9 and €1164.8 in 80% of simulations.ConclusionsThe economic burden of GDM in Italy is substantial even accounting for short-term medical costs only. Future research also addressing long-term consequences from a broader societal perspective is recommended.


PLOS ONE | 2017

Correction: Mortality and Length of Stay of Very Low Birth Weight and Very Preterm Infants: A EuroHOPE Study

Dino Numerato; Giovanni Fattore; Fabrizio Tediosi; Rinaldo Zanini; Mikko J. Peltola; Helen Banks; Péter Mihalicza; Liisa Lehtonen; Sofia Sveréus; Richard Heijink; Søren Toksvig Klitkou; Eilidh Fletcher; Amber A. W. A. van der Heijden; Fredrik Lundberg; Eelco Over; Unto Häkkinen; Timo T. Seppälä

[This corrects the article DOI: 10.1371/journal.pone.0131685.].


Health Economics | 2017

Investigating Regional Variation of Cardiac Implantable Electrical Device Implant Rates in European Healthcare Systems: What Drives Differences?

Aleksandra Torbica; Helen Banks; Cinzia Valzania; Giuseppe Boriani; Giovanni Fattore


Value in Health | 2016

The Short-Term Health and Economic Burden of Gestational Diabetes Mellitus in Italy

Livia Dainelli; Michela Meregaglia; Helen Banks; C Benedetto; Patrick Detzel; Giovanni Fattore


European Journal of Public Health | 2015

Tracking pacemaker and implantable cardioverter defibrillator utilization rates in Europe 2008–2012

Helen Banks; Giovanni Fattore; Aleksandra Torbica; Cinzia Valzania; Giuseppe Boriani; T Hunger; Yauheniya Varabyova; V Prevolnik Rupel; R Slabe-Erker; M Arvandi; G Jhuti

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Mikko Peltola

National Institute for Health and Welfare

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