The Impact of an Acute Psychiatry Environment on Older Patients and Their Families
Bibliographic record
Abstract
Ethnographic methods (observations and interviews) were used to investigate the physical environment of a geriatric psychiatry unit to understand how it meets the needs of patients with mental health conditions. Four interrelated themes of environmental qualities emerged as central in promoting healing: therapeutic, supportive of functional independence, facilitative of social connections, and personal safety and security. Therapeutic describes the existence of a home-like environment and quality sensory stimulations. Supportive of functional independence refers to the environmental features that make it easy for older adults to mobilize and perform activities of daily living. Facilitative of social connections indicates the provision of social spaces for patients, families, and staff to interact and engage in meaningful activities. Personal safety and security involves having staff in close proximity and minimizing disruptions from confused patients. The evidence suggests that the physical environment is important in making hospitals safe and supportive of healing for older adults with mental health conditions. [Journal of Gerontological Nursing, 40(9), 50–56.] Ms. Hung is doctoral student and Clinical Nurse Specialist, Ms. Loewen and Ms. Bindley are Clinical Nurse Specialists, Ms. McLaren and Mr. Feist are Registered Psychiatric Nurses, Providence Health Care (PHC), and Dr. Phinney is Associate Professor, University of British Columbia, Vancouver, British Columbia, Canada. The authors have disclosed no potential conflicts of interest, financial or otherwise. The authors thank PHC Research Challenge for funding this research. Address correspondence to Lillian Hung, MA, RN, Clinical Nurse Specialist, University of British Columbia, School of Nursing, T201-2211 Wesbrook Mall, Vancouver, BC, Canada V6T 2B5; e-mail: lhung@providencehealth.bc.ca. Received: October 04, 2013 Accepted: February 14, 2014 Posted Online: March 31, 2014
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".