Evidence map›Paper›PMID 34749696›Full record

ArticleBMC pulmonary medicine2021

Hospital admission trends due to respiratory diseases in England and Wales between 1999 and 2019: an ecologic study.

Abdallah Y Naser, Munthir M Mansour, Abeer F R Alanazi, Omar Sabha, Hassan Alwafi, Zahraa Jalal, Vibhu Paudyal, Mohammad S Dairi, Emad M Salawati, Jaber S Alqahtan and 2 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC pulmonary medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Article
  8. Article
  9. Major Adverse Cardiovascular Events and Cause-Specific Mortality After Hospitalisation in COPD.International journal of chronic obstructive pulmonary disease · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Article
  20. Article
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

12 authors.

Abdallah Y NaserDepartment of Applied Pharmaceutical Sciences and Clinical Pharmacy, Faculty of Pharmacy, Isra University, Amman, 11622, Jordan. abdallah.naser@iu.edu.jo.
Munthir M MansourDepartment of Internal Medicine, University of Arkansas for Medical Center, Little Rock, AR, 72205, USA.
Abeer F R AlanaziDepartment of Pharmaceutical and Biological Sciences, UCL School of Pharmacy, London, UK.
Omar SabhaAl Khalidi Hospital and Medical Center, Amman, 11183, Jordan.
Hassan AlwafiFaculty of Medicine, Umm Al Qura University, Mecca, 21514, Saudi Arabia.
Zahraa JalalSchool of Pharmacy, Institute of Clinical Sciences, University of Birmingham, Birmingham, B15 2TT, UK.
Vibhu PaudyalSchool of Pharmacy, Institute of Clinical Sciences, University of Birmingham, Birmingham, B15 2TT, UK.
Mohammad S DairiFaculty of Medicine, Umm Al Qura University, Mecca, 21514, Saudi Arabia.
Emad M SalawatiFamily Medicine Department, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Jaber S AlqahtanDepartment of Respiratory Care, Prince Sultan Military College of Health Sciences, Dammam, Saudi Arabia.
Shalan AlaamriFaculty of Medicine, Jeddah University, Jeddah, 24231, Saudi Arabia.
Moaath K Mustafa AliGreenebaum Comprehensive Cancer Center, University of Maryland, Baltimore, MD, 20742, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentifying trends of hospital admissions for respiratory diseases is crucial for public health and research to guide future clinical improvements for better outcomes. This study aims to define the trends of respiratory disease-related hospital admissions (RRHA) in England and Wales between 1999 and 2019.

methodsAn ecological study was conducted using hospital admission data taken from the Hospital Episode Statistics database in England and the Patient Episode Database for Wales. Hospital admissions data for respiratory diseases were extracted for the period between April 1999 and March 2019. The trend in hospital admissions was assessed using a Poisson model.

resultsHospital admission rate increased by 104.7% [from 1535.05 (95% CI 1531.71-1538.38) in 1999 to 3142.83 (95% CI 3138.39-3147.26) in 2019 per 100,000 persons, trend test, p < 0.01]. The most common causes were influenza and pneumonia, chronic lower respiratory diseases, other acute lower respiratory infections, which accounted for 26.6%, 26.4%, and 14.9%, respectively. The age group 75 years and above accounted for 34.1% of the total number of hospital admissions. Males contributed to 50.5% of the total number of hospital admissions. Hospital admission rate in females increased by 119.8% [from 1442.18 (95% CI 1437.66-1446.70) in 1999 to 3169.38 (95% CI 3163.11-3175.64) in 2019 per 100,000 persons, trend test, p < 0.001]. Hospital admission rate increased by 92.9% in males [from 1633.25 (95% CI 1628.32-1638.17) in 1999 to 3149.78 (95% CI 3143.46-3156.09) in 2019 per 100,000 persons, trend test, p < 0.001].

conclusionDuring the study period, hospital admissions rate due to respiratory diseases increased sharply. The rates of hospital admissions were higher among males for the vast majority of respiratory diseases. Further observational studies are warranted to identify risk factors for these hospital admissions and to offer relevant interventions to mitigate the risk.

Indexed as

AdolescentAdultAgedAged, 80 and overChildDatabases, FactualEnglandFemaleHospitalizationHumansMaleMiddle AgedRespiratory Tract DiseasesSex DistributionWalesYoung AdultAdmissionsEnglandHospitalRespiratoryUnited KingdomWales

Identifiers

PMID34749696
PMCPMC8573565

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.