Evidence map›Paper›PMID 31768171›Full record

ArticleCurrent urology2019

Improving Patient Education Materials: A Practical Algorithm from Development to Validation.

Patrick Betschart, Sergej E Staubli, Valentin Zumstein, Christa Babst, Rafael Sauter, Hans-Peter Schmid, Dominik Abt

Abstract read
In one paragraph

Article in Current urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Readability of online patient education materials for cervical disc replacement.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
    Article
  4. Readability Analysis of Patient Education Material on Rotator Cuff Injuries From the Top 25 Ranking Orthopaedic Institutions.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2024
    Article
  5. Health Education for Chronic Kidney Disease Patients Not on Dialysis Through the Pictorial Patient Information Leaflet.The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians · 2023
    Article
  6. Article
  7. Review
  8. Article
  9. 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

7 authors.

Patrick BetschartDepartment of Urology, St. Gallen Cantonal Hospital, St. Gallen, Switzerland.
Sergej E StaubliDepartment of Urology, St. Gallen Cantonal Hospital, St. Gallen, Switzerland.
Valentin ZumsteinDepartment of Urology, St. Gallen Cantonal Hospital, St. Gallen, Switzerland.
Christa BabstDepartment of Urology, St. Gallen Cantonal Hospital, St. Gallen, Switzerland.
Rafael SauterClinical Trials Unit, St. Gallen Cantonal Hospital, St. Gallen, Switzerland.
Hans-Peter SchmidDepartment of Urology, St. Gallen Cantonal Hospital, St. Gallen, Switzerland.
Dominik AbtDepartment of Urology, St. Gallen Cantonal Hospital, St. Gallen, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo generate an algorithm for systematic development and validation of written patient information in accordance with well-established and validated psychometric and statistical methods that can be applied to different fields of medicine.

methodsA literature search was carried out in PubMed and Google Scholar. Methods were selected and combined to an algorithm. Feasibility and practicability is tested by the development of patient education materials on "ureteral stenting".

resultsThe algorithm includes 4 study phases. After internal audit expert, readability of the first version is objectified using the Flesch Reading Ease formula. This draft is tested by a few patients performing semi-structured interviews using "

conclusionWe developed an algorithm for systematic development and validation of written patient information in accordance with well-established, validated psychometric and statistical methods. This algorithm can be applied to arbitrary fields of medicine.

Indexed as

AgorithmPatient educationPatient informationUreteral stentingValidation

Identifiers

PMID31768171
PMCPMC6873003

What OpenQuestion holds

Textmetadata
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.