Evidence map›Paper›PMID 35742049›Full record

ArticleHealthcare (Basel, Switzerland)2022

Patient Judgement of Change with Elective Surgery Correlates with Patient Reported Outcomes and Quality of Life.

Meg E Morris, Victoria Atkinson, Jeffrey Woods, Paul S Myles, Anita Hodge, Cathy H Jones, Damien Lloyd, Vincent Rovtar, Amanda M Clifford, Natasha K Brusco

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
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

10 authors.

Meg E MorrisLa Trobe University Academic and Research Collaborative in Health (ARCH), Bundoora 3083, Australia.ORCID 0000-0002-0114-4175
Victoria AtkinsonLa Trobe University Academic and Research Collaborative in Health (ARCH), Bundoora 3083, Australia.
Jeffrey WoodsLa Trobe University Academic and Research Collaborative in Health (ARCH), Bundoora 3083, Australia.
Paul S MylesAnaesthesiology and Perioperative Medicine, Alfred Hospital and Monash University Central Clinical School, Melbourne, Bundoora 3083, Australia.
Anita HodgeLa Trobe University Academic and Research Collaborative in Health (ARCH), Bundoora 3083, Australia.
Cathy H JonesLa Trobe University Academic and Research Collaborative in Health (ARCH), Bundoora 3083, Australia.ORCID 0000-0002-2605-2576
Damien LloydLa Trobe University Academic and Research Collaborative in Health (ARCH), Bundoora 3083, Australia.
Vincent RovtarHealthscope Limited, Melbourne, Bundoora 3083, Australia.
Amanda M CliffordSchool of Allied Health, Ageing Research Centre, Health Research Institute, University of Limerick, V94 Limerick, Ireland.
Natasha K BruscoLa Trobe University Academic and Research Collaborative in Health (ARCH), Bundoora 3083, Australia.ORCID 0000-0002-8825-5109

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obtaining pre-surgery PROM measures is not always feasible. The aim of this study was to examine if self-reports of change following elective surgery correlate with change scores from a validated PROM (15-item Quality of Recovery (QoR-15)). This cross-sectional study across 29 hospitals enrolled elective surgery patients. PROMs were collected one-week pre-surgery, as well as one- and four-weeks post-surgery via an electronic survey. We examined associations between patient “judgement of change” at one and four-weeks after surgery and the actual pre-to post-surgery PROM change scores. A total of 4177 surveys were received. The correlation between patient judgement of change, and the actual change score was moderately strong at one-week (n = 247, rs = 0.512, p < 0.001), yet low at four-weeks (n = 241, rs = 0.340, p < 0.001). Patient judgement was aligned to the direction of the PROM change score from pre- to post-surgery. We also examined the correlation between the QoR-15 (quality of recovery) and the EQ-5D-5L (QOL). There was a moderately strong positive correlation between the two PROMs (n = 356, rs = 0.666, p < 0.001), indicating that change in quality of recovery was related to change in QOL. These findings support the use of a single “judgement of change” recall question post-surgery.

Indexed as

hospitalimplementation sciencepatient reported outcome measure (PROM)quality of life (QOL)quality of recovery (QOR)surgery

Identifiers

PMID35742049
PMCPMC9222512

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Registered trials

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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.