Evidence map›Paper›PMID 29266876›Full record

ArticleInternational wound journal2018

Pressure injury identification, measurement, coding, and reporting: Key challenges and opportunities.

Carolina D Weller, Esther R Gershenzon, Sue M Evans, Victoria Team, John J McNeil

Abstract read
In one paragraph

Article in International wound journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  11. Selection of Appropriate Wound Dressing for Various Wounds.Frontiers in bioengineering and biotechnology · 2020
    Review
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  13. 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

5 authors.

Carolina D WellerMonash Nursing and Midwifery, Monash University, Clayton, VIC, Australia.
Esther R GershenzonBox Hill Hospital, Eastern Health, Box Hill, VIC, Australia.
Sue M EvansDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Victoria TeamMonash Nursing and Midwifery, Monash University, Clayton, VIC, Australia.
John J McNeilDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pressure injury (PI) rates are a commonly used indicator of performance of health care facilities, both in acute and subacute settings. However, measuring PI rates in an accurate and reproducible fashion has been challenging. The consequences of poor measurement may include failure to identify poorly performing institutions or incorrect accusations of poor quality care. In this article, we describe the main challenges in identification, coding, and reporting of PIs. Issues include inconsistent identification of PIs at the time of admission, variations in the intensity of PI detection, and differing approaches to coding and the adjustment for differing risks amongst different patient population. These are compounded by differences in the epidemiological approach because rates will differ according to whether patients are surveyed cross-sectionally (eg, on a set day per month) or if the survey is undertaken at discharge. In some cases, financial incentives may also influence PI reporting. We also discuss potential strategies for improving data collection and benchmarking as an aid to reducing PI prevalence.

Indexed as

Quality of Health CareClinical CodingHumansPressure Ulcercoding of pressure injuriesHAPIpressure injury identificationpressure injury prevalencequality of care indicators

Identifiers

PMID29266876
PMCPMC7949636

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.