Evidence map›Paper›PMID 39143456›Full record

ArticleBMC geriatrics2024

Organizational characteristics of highly specialized units for people with dementia and severe challenging behavior.

Gerrie van Voorden, Raymond T C M Koopmans, Mijke M Strik-Lips, Martin Smalbrugge, Sytse U Zuidema, Anne M A van den Brink, Anke Persoon, Richard C Oude Voshaar, Debby L Gerritsen

Abstract readMulticenter Study
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

9 authors.

Gerrie van VoordenRadboudumc Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, Netherlands. gerrie.vanvoorden@radboudumc.nl.
Raymond T C M KoopmansRadboudumc Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, Netherlands.
Mijke M Strik-LipsDepartment of Primary and Community Care, Radboud University Medical Center, Nijmegen, Netherlands.
Martin SmalbruggeDepartment of Medicine for Older People, Amsterdam UMC, Location Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Sytse U ZuidemaDepartment of Primary and Long-Term Care, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
Anne M A van den BrinkDepartment of Primary and Community Care, Radboud University Medical Center, Nijmegen, Netherlands.
Anke PersoonRadboudumc Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, Netherlands.
Richard C Oude VoshaarAlzheimer Center Groningen, Groningen, Netherlands.
Debby L GerritsenRadboudumc Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, Netherlands.

Funding

Netherlands Organization for Health Research and Development (ZonMw) 839120009
6 · The paper itself

Abstract

backgroundPeople with dementia and severe challenging behavior in the Netherlands can be temporarily admitted to highly specialized units when their behavior is not manageable in regular dementia special care units (DSCUs). With scarce evidence available for the treatment of these patients, treatment in these units is in a pioneering phase. To gain more insight into these units, this study investigated organizational characteristics, i.e. admission and discharge characteristics, staffing, the physical environment, and the management of severe challenging behavior.

methodsThree data collection methods were used: 1) a digital questionnaire to be completed by the unit manager, 2) an interview with the physician responsible for medical care and often another practitioner, and 3) an observation of the physical environment for which the OAZIS-dementia questionnaire was used. Descriptive analysis was used for quantitative data and thematic analysis for qualitative data, after which data was interpreted together. Thirteen units participated, with their sizes ranging from 10 to 28 places.

resultsPatients were mainly admitted from regular DSCUs, home or mental health care, and discharged to regular DSCUs. A multidisciplinary team comprising at least an elderly care physician or geriatrician, psychologist, and nursing staff member and other therapists as needed provided the treatment. Nursing staff hours per patient considerably differed among units. Nursing staff played a central role in the treatment. Competences such as reflectiveness on one's own behavior, and being able to cope with stressful situations were described as relevant for nursing staff. Investing in a stable nursing staff team was described as important. The units varied in whether their work-up was more intuitive or methodological. In the diagnostic phase, observation together with an extensive analysis of the patient's biography was essential. The units used a broad variety of interventions, and all paid attention to sensory stimuli. In the observation of the physical environment, the safety scored well and domesticity relatively low.

conclusionHighly specialized units show strong heterogeneity in organizational characteristics and management, which can be understood in the light of the pioneering phase. Despite this, similarities were found in nursing staff roles, frequent multidisciplinary evaluation, and attention to sensory stimuli.

Indexed as

DementiaProblem BehaviorAgedAged, 80 and overFemaleHospital UnitsHumansMaleNetherlandsSeverity of Illness IndexSurveys and QuestionnairesChallenging behaviorDementiaLong-term careOrganizationalPhysical environmentSensory stimuliTreatment

Identifiers

PMID39143456
PMCPMC11323444

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Registered trials

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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.