Evidence map›Paper›PMID 37095535›Full record

ArticleBMC research notes2023

Preliminary insights into patient preparedness for knee or hip arthroplasty: a descriptive survey study.

Justine M Naylor, Ian A Harris, Sidhant Joon, Robert Boland, Bernadette Brady, Shaniya Ogul, Rajat Mittal

Abstract read
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Article in BMC research notes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

7 authors.

Justine M NaylorWhitlam Orthopaedic Research Centre, Ingham Institute for Applied Medical Research, Liverpool, 2 Campbell St, Liverpool, NSW, 2170, Australia. Justine.Naylor@health.nsw.gov.au.
Ian A HarrisWhitlam Orthopaedic Research Centre, Ingham Institute for Applied Medical Research, Liverpool, 2 Campbell St, Liverpool, NSW, 2170, Australia.
Sidhant JoonSchool of Clinical Medicine, South West Sydney Clinical School, Faculty of Medicine and Health, UNSW Medicine & Health, Liverpool Hospital, NSW Sydney, Australia.
Robert BolandFairfield Hospital, Cnr Polding St and Prairievale Rd, Prairiewood, NSW, 2176, Australia.
Bernadette BradyPain Clinic, Liverpool Hospital, Locked Bag 7103, Liverpool, NSW, 1871, Australia.
Shaniya OgulFairfield Hospital, Cnr Polding St and Prairievale Rd, Prairiewood, NSW, 2176, Australia.
Rajat MittalSchool of Clinical Medicine, South West Sydney Clinical School, Faculty of Medicine and Health, UNSW Medicine & Health, Liverpool Hospital, NSW Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveKnowledge-based preparedness for surgery is achieved through education. It is unclear which of brief or extended education programs prior to knee or hip arthroplasty provides better patient preparedness. Using the Patient Preparedness for Surgery survey, we investigated whether people awaiting arthroplasty attending a hospital that provided education over multiple visits via a pre-surgery management program ('Extended') report superior preparedness compared to those attending a hospital in the same health district that only provides education at the pre-admission clinic assessment ('Brief').

resultsA consecutive sample of 128 people (n = 101, 'Extended', n = 27 'Brief') completed the anonymized survey. COVID-19 related service disruptions undermined the sample size, reducing statistical power. The pre-specified superiority of the Extended program (a relative 20% more reporting 'agree'/'strongly agree') was not observed for 'Overall preparedness' [95% (Extended) vs. 89% (Brief), p = 0.36]. Between-group differences exceeding 20% relative superiority were observed for three preparedness sub-domains ['Alternatives explained' (52 vs. 33%, p = 0.09); 'Prepared for home' (85 vs. 57%, p < 0.01); 'Recall of complications' (42 vs 26%, p = 0.14)]. The preliminary findings suggest an extended education program potentially yields better patient-reported preparedness in some preparedness sub-domains, but not all.

Indexed as

Arthroplasty, Replacement, HipArthroplasty, Replacement, KneeCOVID-19Educational StatusHumansSurveys and QuestionnairesArthroplasty, hipArthroplasty, kneePatient educationPre-operative education

Identifiers

PMID37095535
PMCPMC10123575

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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.