Evidence map›Paper›PMID 25304877›Full record

ArticleHealth care management science2015

The 7th IMA international conference on quantitative modelling in the management of health and social care: IMA health 2013 special issue.

Christos Vasilakis, Thierry Chaussalet, Martin Pitt

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Health care management science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 3 institutions in 1 country.

Christos VasilakisBath Centre for Healthcare Innovation and Improvement (CHI2) School of Management, University of Bath, Bath, BA2 7AY, UK, c.vasilakis@bath.ac.uk.
Thierry Chaussalet
Martin Pitt
University of Bath · GBUniversity of Exeter · GBUniversity of Westminster · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health and social care systems are facing major challenges worldwide, due in part to changes in demography and advances in technology and in part to changes in the structure and organisation of care delivery. The IMA Health 2013 conference brought together health care managers, clinicians, management consultants, and mathematicians, operational and health service researchers, statisticians and health economists from across the world with a view to bridging the gap between the respective communities, to exploring recent developments and identifying opportunities for further research. The eight selected papers of this special issue have been grouped into two broad categories. First, there are five papers that report on studies conducted in or relevant to care provision within hospitals. The three remaining papers concern studies aimed at problems related to care provided outside the hospital including long-term care, community based care services and public health. A key learning point arising from these papers and the discussions that took place during the conference is that the systems modelling community need not only to focus their efforts in developing new and improving the performance of existing algorithms, but also in achieving better integration with qualitative research methods and with various relevant strands of the social sciences (ethnography, organisation behaviour etc.). In any case, collaborative projects which engage directly with those involved both in delivering and receiving health care is key if modelling is to make a difference in tackling the messy and complex problems of health and social care.

Indexed as

Health Services ResearchModels, OrganizationalDelivery of Health CareHumans

Identifiers

PMID25304877
OpenAlexW2022520796

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.