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Data · dataset · 2026

Study 2: characteristics of cases on resident dismissal at the Dutch conciliation board - Study 2B: Remediation strategies and reasons for resident dismissal in two types of specialty training

Listed in IISH Dataverse and ODISSEI Portal — shown once because both records carry DOI 10.34894/cbpi0f

Summary 70 cases of residents from two groups (community-based and hospital based specialties) during 10 years of appeals were compared on factors potentially associated with the outcome of the conciliation board decision regarding the residents’ dismissal.

Description

The study focused on remediation strategies applied, and reasons reported to dismiss and remediation strategies (formal remediation plans) per CANMEDS Competency. Research Questions Which reasons for residents’ dismissal were reported by program directors in conciliation board (RGS-GC) cases?

Which resident’s remediation strategies were described prior to dismissal? Were there any differences between two types of training programs, with regard to remediation strategies, dismissal rates, and success rates of residents’ appeals, and if so, which characteristics might be associated with these differences?

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Methods

Mixed methods: inferential statistics on conciliation board cases and characteristics of all residents registered, qualitative analysis of reasons to dismiss and remediation strategies Framework CanMEDS competencies Sources 35 + 35 Conciliation board (RGS-GC) cases (on residents in training for hospital-based + community-based specialties), capacity body with characteristics of residents registered. Data Description Coding (2B BMC Data Excel Anon) Tab: Community password: com Identifier: Random number Confirmation of dismissal decision by conciliation board: Y/N=1/0 Year of training at time of dismissal: Number between (0-6) 2 decimal max Gender: M=1/F=0: M=Male / F=Female Remediation plan: Formal Y/N=1/0, Other Y/N=1/0 Description of remediation or reasons not to remediate: (free text in Dutch) Reasons to dismiss: Untrainable Y/N=1/0, Compelling Y/N=1/0 Description of remediation or reasons not to remediate: (free text in Dutch) Mediation: Unfeasible Y/N=1/0, Mediator Y/N=1/0, Second Opinion Y/N=1/0 Description mediation procedure (free text in Dutch) Other characteristics of procedure: Premature Y/N=1/0, Lack document Y/N=1/0, Unclear plan Y/N=1/0, Lack guidance Y/N=1/0 Comments on type of remediation offered; (free text in Dutch) Sickness: Y/N=1/0 Type and duration of sickness: (free text in Dutch) Claim unsafe (education climate): Y/N=1/0 Disunity staff: Dissenting opinions staff Y/N=1/0.

CanMEDS: 1=insufficient/0=sufficient Professional, Communicator, Collaborator, Management, Medical Expertise, Scholar, Health advocate Number of deficient CanMEDS: Mean, (range 0-7) Tab: Hospital password=hos Identifier: Random number Confirmation of dismissal decision by conciliation board: Y/N=1/0 Year of training at time of dismissal: Number between (0-6) 2 decimal max Gender: M=1/F=0: M=Male / F=Female Remediation plan: Formal Y/N=1/0, Other Y/N=1/0 Description of remediation or reasons not to remediate: (free text in Dutch) Reasons to dismiss: Untrainable Y/N=1/0, Compelling Y/N=1/0 Description of reasons not to remediate: (free text in Dutch) Mediation:Unfeasible Y/N=1/0, Mediator Y/N=1/0, Second Opinion Y/N=1/0 Description mediation procedure: (free text in Dutch) Timing to (duration of mediation): time in days (0-60) Other characteristics of procedure: Premature Y/N=1/0, Lack document Y/N=1/0, Unclear plan Y/N=1/0, Lack guidance Y/N=1/0 Comments on type of remediation offered: (free text in Dutch) Sickness: Y/N=1/0, Type and duration of sickness: (free text in Dutch) Claim unsafe (education climate): Y/N=1/0 Disunity staff: Dissenting opinions staff Y/N=1/0.

CanMEDS: 1=insufficient/0=sufficient Professional, Communicator, Collaborator, Management, Medical Expertise, Scholar, Health advocate Number of deficient CanMEDS: Mean, (range 0-7) Tab: Table4p2 (thesis) is Table 2 article BMC: password=char

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Where it is published

Catalogue records · 2

Topics

Stated by source
Social Sciences · Social Sciences
From keywords
Social Science · Social Science
Inferred from text
Tabular 65% · Text 75%
Provenance · 2 source records, 12 field assertions
SourceKeyLast seenRaw
IISH Dataversedoi:10.34894/CBPI0F10 d agoJSON v1
ODISSEI Portaldoi:10.34894/CBPI0F6 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:social-sciencessource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
concepts[field].dataverse_subject:social-sciencessource · portal odissei nlconnector:portal_odissei_nl@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · portal odissei nlconnector:portal_odissei_nl@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
concepts[modality].local:modality:tabularenrichment · datasets iisg amsterdamkeyword-concept-rules@1.0.0title+description (65%)
concepts[modality].local:modality:textenrichment · datasets iisg amsterdamkeyword-concept-rules@1.0.0title+description (75%)
created_datesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0
descriptionsource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/description
publication_datesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0
titlesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/name
updated_datesource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0
version_labelsource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0