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Record W4210741631 · doi:10.1002/alz.052134

Key components of person‐centered care for people with dementia: A systematic review of interventions to design a patient preference study

2021· review· en· W4210741631 on OpenAlexaboutno aff
Wiebke Mohr, Anika Raedke, Adel Afi, David Edvardsson, Franka Mühlichen, Moritz Platen, Martina Roes, Bernhard Michalowsky, Wolfgang Hoffmann

Bibliographic record

VenueAlzheimer s & Dementia · 2021
Typereview
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionRandomized controlled trialPsychosocialDementiaSystematic reviewIntervention (counseling)MedicineMEDLINEPsychologyNursingPsychiatry

Abstract

fetched live from OpenAlex

Abstract Background To provide Person‐Centered Care (PCC) for People with Dementia (PwD), patient’s stated preferences must be known. Data about stated care‐preferences among PwD are limited. This study aimed to identify key components of PCC for PwD by a systematic review of PCC‐interventions, to inform the construction of a decision model for PwD‐preference elicitation. Method A protocol was registered with PROSPERO (CRD42021225084). A search of the concepts Dementia, Person‐Centered Care, and Intervention was performed in PubMed, EMBASE, and Web of Science in Nov2020. Study selection was based on 2‐stage screening against eligibility criteria, limited to randomized controlled trials (RCT) and nonrandomized controlled study (NRS) designs. Risk of bias was assessed with version 2 of the Cochrane risk‐of‐bias tool for randomized trials (RoB2) and the Newcastle‐Ottawa Scale (NOS) for nonrandomized studies. Information about authors, interventions, and outcomes were extracted and entered into an “Effects Table”. The identified PCC‐interventions were thus synthesized into intervention categories to form key components of PCC. Result Searches identified 1781 records. 19 studies (15 RCT, 4 NRS) were included after screening. The quality of the studies varied between low to moderate. The individual interventions covered a wide range of non‐pharmacological, psychosocial offers, oftentimes bundled in multi‐component intervention‐sets. Nine intervention categories, i.e. key components of PCC to inform the construction of a decision model for PwD‐preference elicitation, emerged from data synthesis: sensory enhancement/relaxation, social contact, cognitive training, validation and reminiscence, physical activities, environmental adjustments, caregiver training and support, care organization and daily living assistance. Effect measures included i.a. agitation, quality of life, antipsychotic use, depression, neuropsychiatric symptoms and behavior, with mixed results concerning the effect of the PCC interventions. All studies were conducted in nursery home or hospital settings. Conclusion Nine intervention categories as key components of PCC to inform the construction of a decision model for PwD‐preference elicitation could be identified. As the findings were limited to nursery home and hospital settings, community‐dwelling PwD and the primary care‐setting should find greater consideration for future investigations on PCC interventions and patient preference studies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.076
metaresearch head score (Gemma)0.185
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.076
Threshold uncertainty score0.404

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0760.185
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0110.014
Bibliometrics0.0110.012
Science and technology studies0.0010.002
Scholarly communication0.0040.004
Open science0.0020.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.515
GPT teacher head0.463
Teacher spread0.052 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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