Evidence map›Paper›PMID 35736549›Full record

ArticleMethods and protocols2022

Healthcare Service Interventions to Improve the Healthcare Outcomes of Hospitalised Patients with Extreme Obesity: Protocol for an Evidence and Gap Map.

Caz Hales, Rebecca Chrystall, Anne M Haase, Mona Jeffreys

Open access · goldAbstract read
In one paragraph

Article in Methods and protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Caz HalesSchool of Nursing Midwifery and Health Practice, Faculty of Health, Victoria University of Wellington, Wellington 6021, New Zealand.ORCID 0000-0002-3197-1657
Rebecca ChrystallSchool of Nursing Midwifery and Health Practice, Faculty of Health, Victoria University of Wellington, Wellington 6021, New Zealand.
Anne M HaaseSchool of Health, Faculty of Health, Victoria University of Wellington, Wellington 6041, New Zealand.ORCID 0000-0001-8556-2165
Mona JeffreysHealth Service Research Centre, Faculty of Health, Victoria University of Wellington, Wellington 6011, New Zealand.ORCID 0000-0002-2617-0361
Victoria University of Wellington · NZ

Funding

Health Research Council of New Zealand 21/965Victoria University of Wellington LFG226144
6 · The paper itself

Abstract

Hospitalised patients with extreme obesity have poorer healthcare outcomes compared to normal weight patients. How hospital services are coordinated and delivered to meet the care needs of patients with extreme obesity is not well understood. The aim of the proposed evidence gap map (EGM) is to identify and assess the available evidence on healthcare interventions to improve healthcare outcomes for hospitalised patients with extreme obesity. This research will use standardised evidence gap map methods to undertake a five-stage process to develop an intervention-outcome framework; identify the current evidence; critically appraise the quality of the evidence, extract, code, and summarise the data in relation to the EGM objectives; and create a visualisation map to present findings. This EGM will provide a means of determining the nature and quality of health service initiatives available, identify the components of the services delivered and the outcome measures used for evaluation, and will identify areas where there is a lack of research that validates the funding of new research studies.

Indexed as

evidence gap mapsextreme obesityhealthcare outcomeshospitalinterventionspatients

Identifiers

PMID35736549
PMCPMC9228870
OpenAlexW4282828620

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.