Evidence map›Paper›PMID 37024246›Full record

ArticleBMJ open2023

Hospitalisation profile in England and Wales, 1999 to 2019: an ecological study.

Abdallah Y Naser

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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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

12 citing papers in PubMed.

  1. Article
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  8. Major Adverse Cardiovascular Events and Cause-Specific Mortality After Hospitalisation in COPD.International journal of chronic obstructive pulmonary disease · 2025
    Article
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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

1 author.

Abdallah Y NaserDepartment of Applied Pharmaceutical Sciences and Clinical Pharmacy, Faculty of Pharmacy, Isra University, Amman, Jordan abdallah.naser@iu.edu.jo.ORCID 0000-0001-8440-7446

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHospital-related indicators are used to prioritise, benchmark and monitor certain healthcare components to improve quality. This study aimed to determine the hospital admissions profile in England and Wales between 1999 and 2019.

designEcological study.

settingA population-based study of hospitalised patients in England and Wales.

participantsAll patients of all ages and genders who were hospitalised in National Health Service (NHS) hospitals and NHS-funded independent sector hospitals. OUTCOME MEASURE: Hospital admission rates in England and Wales related to various diseases/causes, which were identified using the diagnostic codes (A00-Z99).

resultsThere was a 48.5% rise in hospital admission rates from 246 366.7 (95% CI 246 249.8 to 246 483.7) in 1999 to 365 858.7 (95% CI 365 736.3 to 365 981.2) in 2019 per million persons (p<0.05). The most common causes of hospital admissions were diseases of the digestive system; symptoms, signs, and abnormal clinical and laboratory findings; and neoplasms, which accounted for 11.5%, 11.4% and 10.5%, respectively. The age range of 15-59 years accounted for 43.4% of all hospital admissions. Around 56.0% of all hospital admissions were by female patients. In comparison to 1999, the hospital admission rate for males grew by 53.7%, from 218 363.7 (95% CI 218 203.2 to 218 524.3) to 335 618.9 (95% CI 335 448.1 to 335 789.6) per million persons in 2019. When compared with 1999, the hospital admission rate for females increased by 44.7%, rising from 273 032.5 (95% CI 272 863.5 to 273 201.5) to 395 154.6 (95% CI 394 979.9 to 395 329.4) per million persons.

conclusionA notable increase was observed in the rate of hospital admissions for all causes in England and Wales. Elderly age and female gender were significant factors that influenced the rate of hospital admissions. Future research is required to identify preventable risk factors for hospital admission.

Indexed as

HospitalizationState MedicineAdolescentAdultAgedEnglandFemaleHospitalsHumansMaleMiddle AgedWalesYoung AdultEPIDEMIOLOGYGENERAL MEDICINE (see Internal Medicine)HEALTH SERVICES ADMINISTRATION & MANAGEMENTPUBLIC HEALTH

Identifiers

PMID37024246
PMCPMC10083742

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Registered trials

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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.