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Record W4391136361 · doi:10.1111/jep.13961

Systemic failures in nursing home care—A scoping study

2024· article· en· W4391136361 on OpenAlexaboutno aff
Joachim P. Sturmberg, Len Gainsford, Nick Goodwin, Dimity Pond

Bibliographic record

VenueJournal of Evaluation in Clinical Practice · 2024
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsnot available
FundersRoyal Academy of Engineering
KeywordsCINAHLNursingScopusMedicineMEDLINEDysfunctional familyRespite careNursing homesHealth carePolitical sciencePsychological intervention

Abstract

fetched live from OpenAlex

Nursing homes (also referred to as residential aged care facilities, or long-term care facilities) cater for older people on a respite or long-term basis for those who are no longer able to live independently at home. Globally the sector struggles to meet societal expectations since it is torn between three competing agendas-meeting the needs of residents, meeting the demands of regulators, and meeting the financial imperatives of nursing home proprietors. Competing demands indicate that the system lacks a clear understanding of its purpose-without a clearly understood purpose any system will become dysfunctional overall and across all its levels of organisation. This scoping study aims to summarise and synthesise what is already known about the systemic function and failures in the nursing home system, and the impact this has on the wider health and aged care system. METHOD: MEDLINE, EMBASE, PSYCHINFO, CINAHL and SCOPUS were searched using the terms: (nursing home care OR residential aged care OR nursing home) AND (organisational failure OR institutional failure OR systemic failure), limited to English language articles, including all years up to the end of February 2021. In addition, we used snowballing of article references and Google searches of the grey literature. System-focused articles were defined as those that explored how an issue at one system level impacted other system levels, or how an issue impacted at least two different agents at the same system level. RESULT: Thirty-eight articles addressed systemic issues as defined in four different contexts: United States (14), Canada (2), Australia (11) and European countries (11). Only four studies reported whole-of-system findings, whereas the remaining 34 more narrowly addressed systemic features of specific nursing home issues. The thematic analysis identified 29 key systemic issues across five system layers which consistently appear across every country/health system context. The negative outcomes of these systemic failings include: high rates of regulatory reprimands for unacceptable or unsafe practices; dissatisfaction in care experiences on the part of residents, families, and care staff-including a fear of being sent to a nursing home; and the perception amongst staff that nursing homes are not preferred places to work. CONCLUSIONS: The key issues affecting nursing home residents, and the care home sector more generally, are systemic in nature arising from two key issues: first, the lack of shared agreement on the care home system's purpose; and second, the lack of clear governance and accountability frameworks for system regulation and performance at a national level. Addressing these two key issues must be the starting point for any 'real' nursing home system redesign that can achieve a seamlessly integrated system that delivers the outcomes nursing home residents and their families expect. 'Systems thinking' is required to simultaneously improve care quality and outcomes for residents, strengthen regulation and accountability, and enable financial viability.

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)0.029
metaresearch head score (Gemma)0.073
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 score0.034
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.073
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0340.040
Science and technology studies0.0020.003
Scholarly communication0.0060.005
Open science0.0010.004
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.189
GPT teacher head0.635
Teacher spread0.446 · 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

Citations17
Published2024
Admission routes1
Has abstractyes

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