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Record W2465447698 · doi:10.1177/0898010116658366

Addressing Physical Health Needs of Individuals With Schizophrenia Using Orem’s Theory

2016· article· en· W2465447698 on OpenAlexaff
Liquaa Wazni, Wendy Gifford

Bibliographic record

VenueJournal of Holistic Nursing · 2016
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPerspective (graphical)Context (archaeology)Affect (linguistics)Health careSchizophrenia (object-oriented programming)PsychologyPhysical healthNursingMental healthMedicinePsychotherapistPsychiatryPolitical science

Abstract

fetched live from OpenAlex

People with schizophrenia have increased morbidity and mortality rates associated with poor physical health that requires a holistic and comprehensive nursing approach. Dorothy Orem's self-care deficit nursing theory (SCDNT) has made a substantive contribution to nursing by focusing on people as whole entities who engage with their environment to sustain health. We offer an expanded view of the SCDNT by showing how it is a useful framework for nurses to integrate interpretive, empirical, and critical theoretical perspectives for addressing both the physical and mental health needs for people with schizophrenia. Understanding patient needs through different theoretical lenses will help nurses integrate high-quality, evidence-based care with patients' realities, needs, and values while considering the influence of the broader sociopolitical context. We demonstrate how the SCDNT allows nurses incorporate a critical perspective for critiquing the influence of societal barriers on individual's health and advocate for initiatives to address the complex sociopolitical, economic, and contextual factors that affect the physical well-being of individuals with schizophrenia.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.500
Threshold uncertainty score0.421

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.369
GPT teacher head0.497
Teacher spread0.127 · 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 teacher head, not a consensus.

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

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

Citations4
Published2016
Admission routes1
Has abstractyes

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