Evidence map›Paper›PMID 36660043›Full record

ArticlePatient preference and adherence2023

Comprehensive Implementation of Shared Decision Making in a Neuromedical Center Using the SHARE TO CARE Program.

Constanze Stolz-Klingenberg, Claudia Bünzen, Marie Coors, Charlotte Flüh, Klarissa Hanja Stürner, Kai Wehkamp, Marla L Clayman, Fueloep Scheibler, Jens Ulrich Rüffer, Wiebke Schüttig and 3 more

Open access · goldAbstract read
In one paragraph

Article in Patient preference and adherence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

13 authors at 5 institutions in 2 countries.

Constanze Stolz-KlingenbergNational Competency Center for Shared Decision Making, University Hospital Schleswig-Holstein, Kiel, Germany.
Claudia BünzenNational Competency Center for Shared Decision Making, University Hospital Schleswig-Holstein, Kiel, Germany.
Marie CoorsChair of Health Economics, Technical University of Munich, Munich, Germany.
Charlotte FlühDepartment of Neurosurgery, University Hospital Schleswig-Holstein, Kiel, Germany.ORCID 0000-0003-2615-0616
Klarissa Hanja StürnerDepartment of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany.
Kai WehkampDepartment of Internal Medicine I, University Hospital Schleswig-Holstein, Kiel, Germany.ORCID 0000-0003-3536-4958
Marla L ClaymanCenter for Healthcare Organization and Implementation Research (CHOIR), Veterans Administration, Bedford, MA, USA.
Fueloep ScheiblerNational Competency Center for Shared Decision Making, University Hospital Schleswig-Holstein, Kiel, Germany.ORCID 0000-0002-4983-7253
Jens Ulrich RüfferSHARE TO CARE Patientenzentrierte Versorgung GmbH, Cologne, Germany.
Wiebke SchüttigChair of Health Economics, Technical University of Munich, Munich, Germany.
Leonie SundmacherChair of Health Economics, Technical University of Munich, Munich, Germany.
Daniela BergDepartment of Neurology, University Hospital Schleswig-Holstein, Kiel, Germany.
Friedemann GeigerNational Competency Center for Shared Decision Making, University Hospital Schleswig-Holstein, Kiel, Germany.
University Hospital Schleswig-Holstein · DETechnical University of Munich · DEMSH Medical School Hamburg – University of Applied Sciences and Medical University · DEAcademy of Media Arts Cologne · DEUnited States Department of Veterans Affairs · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: SHARE TO CARE (S2C) is a comprehensive, multi-module implementation program for shared decision making (SDM). It is currently applied at the University Hospital Schleswig-Holstein in Kiel, Germany, and among general practitioners at the Federal State of Bremen. This study examines the results of the full implementation of S2C in terms of effectiveness within the Kiel Neuromedical Center comprising the departments of neurology and neurosurgery. Method and Design: The S2C program consists of four combined intervention modules: 1) multimodal training of physicians; 2) a patient activation campaign including the ASK-3 method; 3) digital evidence-based patient decision aids; and 4) SDM support by nurses, e.g., as decision coaches. The SDM level before and immediately after implementation was retrospectively assessed in consecutively selected patients on the subscale "Patient Decision Making" of the Perceived Involvement in Care Scale (PICS Results: Eighty-nine percent of all physicians (N = 56) completed the SDM training. We developed a total of 12 evidence-based digital decision aids in the center, educated two decision coaches to support patients' decision processes by using decision aids. Physicians adjusted patients' pathways to incorporate the use of decision aids. Patients (n = 261) reported a significant increase in participation (p<0.001; Hedges' g = 0.49) in medical decision making. Conclusion: The S2C program has been successfully implemented within the entire Neuromedical Center. Patients reported a medium to small increase of perceived involvement in decision making demonstrating the effectiveness of the implementation. For future research, it might be interesting to investigate the sustainability of the effects of S2C. In addition, it seems useful to complement the patient-based evaluation with observer-based data.

Indexed as

decision aidsneurologyneurosurgerypatient activationphysician trainingSDMshared decision making intervention

Identifiers

PMID36660043
PMCPMC9844139
OpenAlexW4317567297

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.