Older adults’ activity on a geriatric hospital unit: A behavioral mapping study
Notice bibliographique
Résumé
<em>Background:</em> Systematic reviews highlight a preponderance of prolonged sedentary behavior in the hospital setting, with possible consequences for patients’ health and mobility. To date, most of the published literature in this field focus on the hospital experience for older adults with dementia or stroke. Few data describe hospital activity patterns in specialized geriatric units for frail older adults, who are already at risk of spending prolonged periods of time sitting. Yet, promoting older adults’ activity throughout hospitalization, when possible, is an avenue for exploration to identify opportunities to encourage more daily functional activities, and minimize the risk of post-hospital syndrome. <em>Methods:</em> This was a two-part observational study to describe (1) the hospital indoor environment and (2) patients’ activity patterns (using behavioral mapping) within public areas of two hospital units. One combined-trained physiotherapist and occupational therapist recorded information on indoor environmental features for two acute geriatric hospital units, such as potential opportunities for sitting and walking (i.e., handrails, chairs, benches, etc.), and identified obstacles which may impede activity (i.e., food or laundry carts in hallways, etc.). The observer also systematically scanned these units every 15 minutes (8 am to 4 pm) over two days/unit (one weekday and one weekend day) using standard behavioral mapping methods. There were three to four observation stations identified on each unit to count the number of people who were present, distinguish their role (patient, visitor), approximate age, gender, and body position or activity (sitting, standing, walking). We did not enter patients’ rooms. We described units’ indoor environment, and observed activity for each unit. We used Chi square tests to compare differences in observations between units, day of the week, and gender. <em>Results:</em> For both units there were similar indoor environmental features, with the exception of the floorplans, number of beds, minor differences in flooring materials, and an additional destination room (two lounges attached to one unit). Both units had items such as laundry carts against walls in hallways, blocking handrails, when present. We observed between 46–86% (average 60%) of admitted patients in the public areas of hospital units, with variability depending on unit and day: More than half of the observations were of patients sitting. Approximately 20% of patients were observed more than once: This included five women and seven men. There were significant associations for gender and observations on weekdays (men > women; Chi square = 17.01, <em>p</em> < 0.0001), and weekend days (women > men; Chi square = 6.11, <em>p</em> = 0.013). There were more visitor observations on Unit 2. <em>Conclusions:</em> These exploratory findings are an opportunity to, generate hypotheses for future testing, and act as a starting point to collaborate with front line clinicians to highlight the indoor environment’s role in promoting activity, and develop future strategies to safely introduce more activity into the acute care setting for older adults.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».