Observational studyBMJ open2016
Trend study on the association between hospital admissions and the health of Dutch older adults (1995-2009).
Observational study in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Acute hospital use in older adults following the 2015 Dutch reform of long-term care: an interrupted time series analysis.The lancet. Healthy longevity · 2023Article
- Gender differences in time to first hospital admission at age 60 in Denmark, 1995-2014.European journal of ageing · 2021Article
- Supporting Older People to Live Safely at Home - Findings from Thirteen Case Studies on Integrated Care Across Europe.International journal of integrated care · 2020Article
- Rethinking morbidity compression.European journal of epidemiology · 2020Article
- Geriatric Emergency Department Innovations: Transitional Care Nurses and Hospital Use.Journal of the American Geriatrics Society · 2018Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesAn increase in hospital admission rates in older people may reflect improved access to healthcare, but also declining health trends in the older population. Owing to a lack of individual-level data, the latter possibility has received little attention. The current study examines associations between health status and hospitalisation rates of older adults in the Netherlands.
designObservational individual-level data linked to hospital register data.
settingData from 1995 to 2009 from the nationally representative Longitudinal Aging Study Amsterdam were linked to the Dutch Hospital Discharge Register.
participantsA total of 5681 observations of 2520 respondents across 4 measurement points (each with a follow-up of 36 months; ages 65-88 years). OUTCOME MEASURES: The contribution of health, demographic, psychosocial and lifestyle characteristics to time trends in hospitalisation was assessed in multivariate models.
resultsBetween 1995 and 2009, the percentage with 1 or more overnight admissions (planned or acute) increased slightly from 38.1% to 39.7%. This was due to an increase in acute admission only (22.2-27.0%). Increased prevalences of chronic diseases, functional limitations and polypharmacy accounted for part of the observed increase in acute admissions. In addition, a more than doubled prevalence of day admissions over time was observed (12.3-28.3%), a trend that was unrelated to changes in individual characteristics.
conclusionsThis trend study showed a contribution of declines in population health to increases in acute hospital admissions. Since these declines did not provide a full explanation, healthcare reforms and increases in treatment possibilities in this period are likely to have contributed as well.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.