Combating Hooliganism in the Netherlands: An Evaluation of Measures to Combat Hooliganism with Longitudinal Registration Data

As many drugs in paediatrics are used off-label, prescribers face a lack of evidence-based dosing guidelines. A Dutch framework was developed to provide dosing guidelines based on best available evidence from registration data, investigator-initiated research, professional guidelines, clinical experience and consensus. This has clarified the scientific grounds of drug use for children and encouraged uniformity in prescribing habits in the Netherlands. The developed framework and the current content of the Dutch Paediatric Formulary could be used as basis for similar initiatives worldwide, preferably in a concerted effort to ultimately provide children with effective and safe drug therapy.

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Hospitalisation rates differed by city district and ethnicity during the first wave of COVID-19 in Amsterdam, The Netherlands

BMC Public Health ◽

10.1186/s12889-021-11782-w ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Liza Coyer ◽

Elke Wynberg ◽

Marcel Buster ◽

Camiel Wijffels ◽

Maria Prins ◽

...

Keyword(s):

Health Status ◽

The Netherlands ◽

Migration Background ◽

Targeted Prevention ◽

New West ◽

Registration Data ◽

City District ◽

Western Migration ◽

And Migration ◽

Rate Ratios

Abstract Background It is important to gain insight into the burden of COVID-19 at city district level to develop targeted prevention strategies. We examined COVID-19 related hospitalisations by city district and migration background in the municipality of Amsterdam, the Netherlands. Methods We used surveillance data on all PCR-confirmed SARS-CoV-2 hospitalisations in Amsterdam until 31 May 2020, matched to municipal registration data on migration background. We calculated directly standardised (age, sex) rates (DSR) of hospitalisations, as a proxy of COVID-19 burden, per 100,000 population by city district and migration background. We calculated standardised rate differences (RD) and rate ratios (RR) to compare hospitalisations between city districts of varying socio-economic and health status and between migration backgrounds. We evaluated the effects of city district and migration background on hospitalisation after adjusting for age and sex using Poisson regression. Results Between 29 February and 31 May 2020, 2326 cases (median age 57 years [IQR = 37–74]) were notified in Amsterdam, of which 596 (25.6%) hospitalisations and 287 (12.3%) deaths. 526/596 (88.2%) hospitalisations could be matched to the registration database. DSR were higher in individuals living in peripheral (South-East/New-West/North) city districts with lower economic and health status, compared to central districts (Centre/West/South/East) (RD = 36.87,95%CI = 25.79–47.96;RR = 1.82,95%CI = 1.65–1.99), and among individuals with a non-Western migration background compared to ethnic-Dutch individuals (RD = 57.05,95%CI = 43.34–70.75; RR = 2.36,95%CI = 2.17–2.54). City district and migration background were independently associated with hospitalisation. Conclusion City districts with lower economic and health status and those with a non-Western migration background had the highest burden of COVID-19 during the first wave of COVID-19 in Amsterdam.

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Examining Prisoner Misconduct: A Multilevel Test Using Personal Characteristics, Prison Climate, and Prison Environment

Crime & Delinquency ◽

10.1177/0011128719877347 ◽

2019 ◽

Vol 66 (4) ◽

pp. 451-484 ◽

Cited By ~ 3

Author(s):

Anouk Q. Bosma ◽

Esther F. J. C. van Ginneken ◽

Miranda Sentse ◽

Hanneke Palmen

Keyword(s):

Cohort Study ◽

The Netherlands ◽

Prospective Cohort ◽

Personal Characteristics ◽

Unit Level ◽

Registration Data ◽

Prison Environment ◽

Using Data ◽

Reported Data

The aim of the current study was to examine if prisoner characteristics (personal characteristics and prison climate) and prison environment were related to prisoner misconduct, using data from a nationwide prospective cohort study examining the experience of prison climate in the Netherlands ( N = 4,427). The results indicated that both personal characteristics and certain (social) domains of prison climate, such as the quality of staff–prisoner relationships, were related to prisoner misconduct, as well as prison regime. Furthermore, it was shown that registration data, which underestimate misconduct, may be (more than self-reported data) influenced by unit-level factors, such as regime characteristics. When using registration data, it is therefore particularly important to properly control for unit-level influences.

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Hospitalisation rates differed by city district and ethnicity during the first wave of COVID-19 in Amsterdam, the Netherlands

10.1101/2021.03.15.21253597 ◽

2021 ◽

Author(s):

Liza Coyer ◽

Elke Wynberg ◽

Marcel Buster ◽

Camiel Wijffels ◽

Maria Prins ◽

...

Keyword(s):

Health Status ◽

The Netherlands ◽

Migration Background ◽

Targeted Prevention ◽

New West ◽

Registration Data ◽

City District ◽

Western Migration ◽

And Migration ◽

Rate Ratios

ABSTRACTBackgroundIt is important to gain insight into the burden of COVID-19 at city district level to develop targeted prevention strategies. We examined COVID-19 related hospitalisations by city district and migration background in the municipality of Amsterdam, the Netherlands.MethodsWe used surveillance data on all PCR-confirmed SARS-CoV-2 hospitalisations in Amsterdam until 31 May 2020, matched to municipal registration data on migration background. We calculated directly standardised (age, sex) rates (DSR) of hospitalisations, as a proxy of COVID-19 burden, per 100,000 population by city district and migration background. We calculated standardised rate differences (RD) and rate ratios (RR) to compare hospitalisations between city districts of varying socio-economic and health status and between migration backgrounds. We evaluated the effects of city district and migration background on hospitalisation after adjusting for age and sex using Poisson regression.ResultsBetween 29 February and 31 May 2020, 2326 cases (median age 57 years [IQR=37-74]) were notified in Amsterdam, of which 596 (25.6%) hospitalisations and 287 (12.3%) deaths. 526/596 (88.2%) hospitalisations could be matched to the registration database. DSR were higher in individuals living in peripheral (South-East/New-West/North) city districts with lower economic and health status, compared to central districts (Centre/West/South/East) (RD=36.87,95%CI=25.79-47.96;RR=1.82,95%CI=1.65-1.99), and among individuals with a non-Western migration background compared to ethnic-Dutch individuals (RD=57.05,95%CI=43.34-70.75; RR=2.36,95%CI=2.17-2.54). City district and migration background were independently associated with hospitalisation.ConclusionCity districts with lower economic and health status and those with a non-Western migration background had the highest burden of COVID-19 during the first wave of COVID-19 in Amsterdam.

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