Evidence map›Paper›PMID 26147988›Full record

ArticlePloS one2015

Studying Hospitalizations and Mortality in the Netherlands: Feasible and Valid Using Two-Step Medical Record Linkage with Nationwide Registers.

Elske Sieswerda, Anna Font-Gonzalez, Marcel G W Dijkgraaf, Ronald B Geskus, Richard C Heinen, Helena J van der Pal, Flora E van Leeuwen, Huib N Caron, Leontien C Kremer, Johannes B Reitsma

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Elske SieswerdaDepartment of Pediatric Oncology, Emma Children's Hospital / Academic Medical Center, Amsterdam, the Netherlands.
Anna Font-GonzalezDepartment of Pediatric Oncology, Emma Children's Hospital / Academic Medical Center, Amsterdam, the Netherlands.
Marcel G W DijkgraafClinical Research Unit, Academic Medical Center, Amsterdam, the Netherlands.
Ronald B GeskusDepartment of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, Amsterdam, the Netherlands.
Richard C HeinenDepartment of Pediatric Oncology, Emma Children's Hospital / Academic Medical Center, Amsterdam, the Netherlands.
Helena J van der PalDepartment of Pediatric Oncology, Emma Children's Hospital / Academic Medical Center, Amsterdam, the Netherlands; Department of Medical Oncology, Academic Medical Center, Amsterdam, the Netherlands.
Flora E van LeeuwenDepartment of Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands.
Huib N CaronDepartment of Pediatric Oncology, Emma Children's Hospital / Academic Medical Center, Amsterdam, the Netherlands.
Leontien C KremerDepartment of Pediatric Oncology, Emma Children's Hospital / Academic Medical Center, Amsterdam, the Netherlands.
Johannes B ReitsmaJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the Netherlands, the postal code is needed to study hospitalizations of individuals in the nationwide hospitalization register. Studying hospitalizations longitudinally becomes troublesome if individuals change address. We aimed to report on the feasibility and validity of a two-step medical record linkage approach to examine longitudinal trends in hospitalizations and mortality in a study cohort. First, we linked a study cohort of 1564 survivors of childhood cancer with the Municipal Personal Records Database (GBA) which has postal code history and mortality data available. Within GBA, we sampled a reference population matched on year of birth, gender and calendar year. Second, we extracted hospitalizations from the Hospital Discharge Register (LMR) with a date of discharge during unique follow-up (based on date of birth, gender and postal code in GBA). We calculated the agreement of death and being hospitalized in survivors according to the registers and to available cohort data. We retrieved 1477 (94%) survivors from GBA. Median percentages of unique/potential follow-up were 87% (survivors) and 83% (reference persons). Characteristics of survivors and reference persons contributing to unique follow-up were comparable. Agreement of hospitalization during unique follow-up was 94% and agreement of death was 98%. In absence of unique identifiers in the Dutch hospitalization register, it is feasible and valid to study hospitalizations and mortality of individuals longitudinally using a two-step medical record linkage approach. Cohort studies in the Netherlands have the opportunity to study mortality and hospitalization rates over time. These outcomes provide insight into the burden of clinical events and healthcare use in studies on patients at risk of long-term morbidities.

Indexed as

Databases, FactualHospitalizationRegistriesAdolescentChildChild, PreschoolDisease-Free SurvivalFemaleHumansInfantInfant, NewbornMaleNeoplasmsNetherlandsRetrospective StudiesSurvival Rate

Identifiers

PMID26147988
PMCPMC4493069

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