Evidence map›Paper›PMID 28647838›Full record

ReviewCurrent reviews in musculoskeletal medicine2017

Preoperative Education for Hip and Knee Replacement: Never Stop Learning.

Paul K Edwards, Simon C Mears, C Lowry Barnes

Abstract readReview
In one paragraph

Review in Current reviews in musculoskeletal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 3 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

52 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

3 authors.

Paul K EdwardsDepartment of Orthopaedic Surgery, University of Arkansas for Medical Sciences, 4301 West Markham Street, Slot 531, Little Rock, AR, 72205, USA. PKEdwards@uams.edu.
Simon C MearsDepartment of Orthopaedic Surgery, University of Arkansas for Medical Sciences, 4301 West Markham Street, Slot 531, Little Rock, AR, 72205, USA.
C Lowry BarnesDepartment of Orthopaedic Surgery, University of Arkansas for Medical Sciences, 4301 West Markham Street, Slot 531, Little Rock, AR, 72205, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewParticipation in alternative payment models has focused efforts to improve outcomes and patient satisfaction while also lowering cost for elective hip and knee replacement. The purpose of this review is to determine if preoperative education classes for elective hip and knee replacement achieve these goals. RECENT

findingsRecent literature demonstrates that patients who attend education classes prior to surgery have decreased anxiety, better post-operative pain control, more realistic expectations of surgery, and a better understanding of their surgery. As a result, comprehensive clinical pathways incorporating a preoperative education program for elective hip and knee replacement lead to lower hospital length of stay, higher home discharge, lower readmission, and improved cost. In summary, we report convincing evidence that preoperative education classes are an essential element to successful participation in alternative payment models such as the Bundle Payment Care Initiative.

Indexed as

Alternative payment modelBundled paymentDischarge dispositionHip replacementHospital readmissionsKnee replacement

Identifiers

PMID28647838
PMCPMC5577053

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.