Evidence map›Paper›PMID 32414412›Full record

ArticleBMC health services research2020

Variability in clinicians' understanding and reported methods of identifying high-risk surgical patients: a qualitative study.

Amanda Selwood, Brette Blakely, Siva Senthuran, Paul Lane, John North, Robyn Clay-Williams

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Observational
  2. Barriers faced by surgeons in identifying and managing malnutrition in emergency general surgery: A qualitative study.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2024
    Article
  3. Article
  4. Intensive care utilisation after elective surgery in Australia and New Zealand: A point prevalence study.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2024
    Article
  5. Observational
  6. Observational
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

6 authors.

Amanda SelwoodCentre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Macquarie Park, NSW, 2109, Australia. amanda.e.selwood@gmail.com.ORCID http://orcid.org/0000-0002-8286-4069
Brette BlakelyCentre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Macquarie Park, NSW, 2109, Australia.
Siva SenthuranTownsville Hospital and Health Service, 100 Angus Smith Drive, Douglas, QLD, 4814, Australia.
Paul LaneTownsville Hospital and Health Service, 100 Angus Smith Drive, Douglas, QLD, 4814, Australia.
John NorthPrincess Alexandra Hospital, 199 Ipswich Rd, Woolloongabba, QLD, 4102, Australia.
Robyn Clay-WilliamsCentre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, Macquarie Park, NSW, 2109, Australia.

Funding

Townsville Hospital and Health Service Research Trust Fund RG/2015/21
6 · The paper itself

Abstract

backgroundHigh-risk patients presenting for surgery require complex decision-making and perioperative management. However, given there is no gold standard for identifying high-risk patients, doing so may be challenging for clinicians in practice. Before a gold standard can be established, the state of current practice must be determined. This study aimed to understand how working clinicians define and identify high-risk surgical patients.

methodsClinicians involved in the care of high-risk surgical patients at a public hospital in regional Australia were interviewed as part of an ongoing study evaluating a new shared decision-making process for high-risk patients. The new process, Patient-Centred Advanced Care Planning (PC-ACP) engages patients, families, and clinicians from all relevant specialties in shared decision-making in line with the patient's goals and values. The semi-structured interviews were conducted before the implementation of the new process and were coded using a modified form of the 'constant comparative method' to reveal key themes. Themes concerning patient risk, clinician's understanding of high risk, and methods for identifying high-risk surgical patients were extricated for close examination.

resultsThirteen staff involved in high-risk surgery at the hospital at which PC-ACP was to be implemented were interviewed. Analysis revealed six sub-themes within the major theme of factors related to patient risk: (1) increase in high-risk patients, (2) recognising frailty, (3) risk-benefit balance, (4) suitability and readiness for surgery, (5) avoiding negative outcomes, and (6) methods in use for identifying high-risk patients. There was considerable variability in clinicians' methods of identifying high-risk patients and regarding their definition of high risk. This variability occurred even among clinicians within the same disciplines and specialties.

conclusionsAlthough clinicians were confident in their own ability to identify high-risk patients, they acknowledged limitations in recognising frail, high-risk patients and predicting and articulating possible outcomes when consenting these patients. Importantly, little consistency in clinicians' reported methods for identifying high-risk patients was found. Consensus regarding the definition of high-risk surgical patients is necessary to ensure rigorous decision-making.

Indexed as

Health Knowledge, Attitudes, PracticeAdultAustraliaDecision Making, SharedFemaleFrailtyHospitals, PublicHumansMaleMiddle AgedPatient-Centered CarePersonnel, HospitalQualitative ResearchRisk AssessmentSelf EfficacySurgical Procedures, OperativeFrailtyHigh-risk patientsPatient riskQualitative researchShared decision-makingSurgery

Identifiers

PMID32414412
PMCPMC7227052

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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.