Evidence map›Paper›PMID 38061840›Full record

ArticleBMJ open quality2023

Digital health coaching to improve patient preparedness for elective lower limb arthroplasty: a quality improvement project.

Nicola Powley, Garry A Tew, James Durrand, Esther Carr, Alexander Nesbitt, Rhiannon Hackett, Joanne Gray, Stephen McCarthy, Matthew Beatty, Robbie Huddleston and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open quality, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

11 authors at 3 institutions in 1 country.

Nicola PowleyNorthern School of Anaesthesia and Intensive Care Medicine, Newcastle upon Tyne, UK nicola.powley@nhs.net.ORCID 0000-0001-9775-7672
Garry A TewYork St John University, York, UK.
James DurrandNorthern School of Anaesthesia and Intensive Care Medicine, Newcastle upon Tyne, UK.
Esther CarrSouth Tees Hospitals NHS Foundation Trust, Middlesbrough, UK.
Alexander NesbittSouth Tees Hospitals NHS Foundation Trust, Middlesbrough, UK.
Rhiannon HackettAnaesthesia, South Tees Hospitals NHS Foundation Trust, Middlesbrough, UK.
Joanne GrayHealth and Life Sciences, Northumbria University, Newcastle upon Tyne, UK.
Stephen McCarthyHealth and Life Sciences, Northumbria University, Newcastle upon Tyne, UK.ORCID 0000-0003-1473-776X
Matthew BeattySurgery Hero, Leeds, UK.
Robbie HuddlestonSurgery Hero, Leeds, UK.
Gerard DanjouxAnaesthesia, South Tees Hospitals NHS Foundation Trust, Middlesbrough, UK.
South Tees Hospitals NHS Foundation Trust · GBNorthumbria University · GBYork St John University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major surgery carries high risks with comorbidities, frailty and health risk behaviours meaning patients are often unprepared for the physiological insult. Since 2018, the Prepwell programme at South Tees Hospitals NHS Foundation Trust has supported patients to improve their preoperative health and fitness. In April 2020, the face-to-face service was suspended due to the pandemic, leading to the team implementing a three-tiered remote digital support pathway, including digital health coaching via a mobile phone application.

methodsPatients scheduled for elective lower limb arthroplasty were offered 8 weeks of digital health coaching preoperatively. Following consent, participants were assigned a personal health coach to set individual behaviour change goals supported by online resources, alongside a digitally delivered exercise programme. Participants completed self-assessment questionnaires at Entry to, and Exit from, the programme, with outcome data collected 21 days postoperatively. The primary outcome was the change in Patient Activation Measure (PAM).

resultsFifty-seven of 189 patients (30.2%) consented to referral for digital health coaching. Forty participants completed the 8-week programme. Median PAM increased from 58.1 to 67.8 (p=0.002). Thirty-five per cent of participants were in a non-activated PAM level at Entry, reducing to 15% at Exit with no participants in PAM level 1 at completion. Seventy-one percent of non-activated participants improved their PAM by one level or more, compared with 45% for the whole cohort. Median LOS was 2 days, 1 day less than the Trust's arthroplasty patient population during the study period (unadjusted comparison).

conclusionsDigital health coaching was successfully implemented for patients awaiting elective lower limb arthroplasty. We observed significant improvements in participants' PAM scores after the programme, with the largest increase in participants with lower activation scores at Entry. Further study is needed to confirm the effects of digital health coaching in this and other perioperative groups.

Indexed as

MentoringHealth PromotionHumansLower ExtremityQuality ImprovementAnaesthesiaHealthcare quality improvementPatient-centred carePatient educationSurgery

Identifiers

PMID38061840
PMCPMC10711879
OpenAlexW4389462618

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.