Evidence map›Paper›PMID 20680129›Full record

ArticleBulletin of the World Health Organization2010

Hospital capacity planning: from measuring stocks to modelling flows.

Bernd Rechel, Stephen Wright, James Barlow, Martin McKee

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. A Competing-Risk Approach for Modeling Length of Stay in Severe Malaria Patients in South-East Asia and the Implications for Planning of Hospital Services.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. The Future Hospital in Global Health Systems: The Future Hospital Within the Healthcare System.The International journal of health planning and management · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Lockdown During COVID-19: The Greek Success.In vivo (Athens, Greece) · 2020
    Article
  13. Article
  14. Observational
  15. 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

4 authors.

Bernd RechelEuropean Observatory on Health Systems and Policies, London School of Hygiene and Tropical Medicine, England. Bernd.Rechel@lshtm.ac.uk
Stephen Wright
James Barlow
Martin McKee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The metric of "bed numbers" is commonly used in hospital planning, but it fails to capture key aspects of how hospital services are delivered. Drawing on a study of innovative hospital projects in Europe, we argue that hospital capacity planning should not be based on beds, but rather on the ability to deliver processes. We propose using approaches that are based on manufacturing theory such as "lean thinking" that focuses on the value that different processes add for the primary customer, i.e. the patient. We argue that it is beneficial to look at the hospital, not from the perspective of beds or specialties, but rather from the path taken by the patients who are treated in them, the respective processes delivered by health professionals and the facilities appropriate to those processes. Systematized care pathways seem to offer one avenue for achieving these goals. However, they need to be underpinned by a better understanding of the flows of patients, work and goods within a hospital, the bottlenecks that occur, and translation of this understanding into new capacity planning tools.

Indexed as

Hospital Bed CapacityModels, TheoreticalCapacity BuildingEuropeHospital Administration

Identifiers

PMID20680129
PMCPMC2908974

What OpenQuestion holds

Textmetadata
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.