Addressing Physical Health Needs of Individuals With Schizophrenia Using Orem’s Theory
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".