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Can a video based short training intervention increase the extent to which patients and their doctors cooperate in treatment decision making?

Investigating a Training Supporting Shared Decision Making (ITS SDM)

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ISRCTN
Registry ID
ISRCTN78716079
Enrollment
40
Registered
2011-06-20
Start date
2011-06-01
Completion date
Unknown
Last updated
2019-02-11

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cancer, multiple sclerosis Not Applicable

Interventions

1. A training curriculum addressing the participating physicians and goals at enhancing their efforts to involve their patients in the decision making process 2. It has been developed

Sponsors

Kiel Cancer Centre (Tumorzentrum Kiel) (Germany)
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Doctor - patient dyads facing a decision (between treatment or diagnostic options) within a encounter 2. Aged 18-75, male or female

Exclusion criteria

Exclusion criteria: Less than two possible options to decide upon

Design outcomes

Primary

MeasureTime frame
1. Coefficient SDM-MASS of the MAPPIN'SDM inventory 2. Components of the coefficient SDM-MASS of the MAPPIN'SDM inventory in comparison to: 2.1. OPTION (observing patient involvement) scale 2.2. SDM-Q 2.3. Dyadic coding scales (DCS) 3. Coefficient ELAB composed from the QUiCC24 questionnaire 4. As it is considered important that the trial does not negatively affect the practice process by burdening doctors and patients too much, measurement is limited to the necessary amount of instruments. Most of the measures were tested in previous studies to explore item properties and validity. In particular measures were selected to assess: 4.1. Both parties? involvement in the decision making process using the SDM-MASS coefficient from the MAPPIN?SDM inventory, including video taping, questionnaires (15 items) from physician and patient 4.2. The patients? perception of SDM using the SDM-Q (9 items) 4.3. To which extent involvement (in terms of SDM) impacts on the dyadic perception of decisional conflict using the Decisional Conflict scale (16 items to be administered by physicians and patients) 4.4. The pattern of uncertainty as it is represented in the patients? cognitive system using the ELAB coefficient from the QUiCC24 (24 items to be administered by the patient before and after the consultation)

Secondary

MeasureTime frame
1. Item characteristics of QUiCC24 for validation purposes (Cronbach's alpha) 2. Item difficulty 3. Item total correlations coefficients between different foci of MAPPIN'SDM (doctor, patient, observer scales)

Countries

Germany

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Mar 28, 2026