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Record W4412530401 · doi:10.2196/76185

A Complex Intervention to Strengthen Person-Centered Care and Leadership in Residential Care Facilities (the PERLE Study): Protocol for a Development and Implementation Study

2025· article· en· W4412530401 on OpenAlexvenueno aff
Anna‐Karin Edberg, Annica Backman

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsnot available
FundersHögskolan KristianstadGyllenstiernska Krapperupsstiftelsen
KeywordsProtocol (science)Intervention (counseling)NursingPsychologyMedical educationMedicineAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Although the benefits of person-centered care (PCC) are widely recognized, there is a lack of empirical research on how PCC is best developed and implemented by the leaders responsible for driving such initiatives. To achieve meaningful change and ensure the sustainability of PCC practices, it is crucial to understand how leaders can foster care environments rooted in person-centered values while managing operational challenges. This knowledge gap highlights the need for an in-depth exploration of the conceptual foundations, experiences, mechanisms, strategies, and outcomes of person-centered leadership (PCL) to design an intervention for strengthening such leadership. OBJECTIVE: The Person-Centered Care and Leadership in Residential Care Facilities (PERLE) study aims to (1) explore and develop tools to measure PCL; (2) develop, test, implement, and investigate the effects of an intervention to strengthen PCL in residential care facilities (RCFs) for older people; and (3) generate knowledge about the process of development and implementation of the intervention. METHODS: The PERLE study builds on the Medical Research Council framework for the development of complex interventions. It includes several studies with exploratory, descriptive, correlational, and quasi-experimental designs and is based on the research group's previous research on PCL. The project is composed of 5 work packages (WPs). Each WP includes research questions with different samples; data collection; and methodological approaches, such as qualitative, mixed methods, and quantitative studies. As this project involves sensitive issues, a high level of ethical awareness was maintained throughout. The primary challenge is the possible interference with participants' work time, which could otherwise be devoted to supporting older people and staff. Nevertheless, the involvement of leaders and staff can lead to valuable knowledge that can improve the quality of PCC. Participants will be provided with both oral and written information about the study and assured of their right to withdraw at any time without providing a reason. RESULTS: As of July 2025, 6 studies in WP I have been conducted, and one is in progress. The conducted studies address leaders' understanding of PCC, the meaning of PCL in RCFs from the perspective of leaders, the ethical challenges in providing PCC during the COVID-19 pandemic, and the cultural adaptation of the aged care clinical leadership qualities framework. CONCLUSIONS: This project aims to provide new insights into the support that first-line managers need to advance PCC in RCFs, highlight their specific challenges, and create tailored support measures for the implementation of PCL. The intervention could potentially reduce staff turnover and related costs while supporting leadership training and education to benefit future leaders in aged care, which may be important from an international perspective. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/76185.

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)0.068
metaresearch head score (Gemma)0.054
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.068
Threshold uncertainty score0.358

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0680.054
Meta-epidemiology (narrow)0.0040.005
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0040.004
Science and technology studies0.0060.004
Scholarly communication0.0040.005
Open science0.0050.005
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0640.016

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 head0.725
GPT teacher head0.647
Teacher spread0.078 · 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 designNot applicable
Domainnot available
GenreProtocol

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
Published2025
Admission routes1
Has abstractyes

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