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The effectiveness of a fall detection device in older nursing home residents: a pilot study.
Can, Büsra; Tufan, Asli; Karadag, Sevval; DurmuS, Nurdan Sentürk; Topçu, Mümüne; Aysevinç, Berrin; Düzel, Songül Çeçen; Dagcioglu, Sevda; AfSar Fak, Nazire; Tazegül, Gökhan; Fak, Ali Serdar.
Affiliation
  • Can B; Marmara University Medical School, Department of Internal Medicine, Divisions of Geriatrics, Istanbul, Turkey.
  • Tufan A; Marmara University Medical School, Department of Internal Medicine, Divisions of Geriatrics, Istanbul, Turkey.
  • Karadag S; VivaSmartTech, Marmara Üniversitesi Teknopark Ar-Ge Sirketi, Istanbul, Turkey.
  • DurmuS NS; Marmara University Medical School, Department of Internal Medicine, Divisions of Geriatrics, Istanbul, Turkey.
  • Topçu M; Marmara University Medical School, Hypertension and Atherosclerosis Education, Application and Research Center, Istanbul, Turkey.
  • Aysevinç B; Marmara University Medical School, Hypertension and Atherosclerosis Education, Application and Research Center, Istanbul, Turkey.
  • Düzel SÇ; Marmara University Medical School, Hypertension and Atherosclerosis Education, Application and Research Center, Istanbul, Turkey.
  • Dagcioglu S; Suadiye Huzurevi, Consultant Neurologist, Istanbul, Turkey.
  • AfSar Fak N; Marmara University Medical School, Department of Neurology, Istanbul, Turkey.
  • Tazegül G; Marmara University Medical School, Department of Internal Medicine, Istanbul, Turkey.
  • Fak AS; Marmara University Medical School, Hypertension and Atherosclerosis Education, Application and Research Center, Istanbul, Turkey.
Psychogeriatrics ; 24(4): 822-829, 2024 Jul.
Article in En | MEDLINE | ID: mdl-38634167
ABSTRACT

BACKGROUND:

Real-world research to evaluate the effect of device technology in preventing fall-related morbidity is limited. This pilot study aims to investigate the effectiveness of a non-wearable fall detection device in older nursing home residents.

METHODS:

The study was conducted in a nursing home with single-resident rooms. Fall detection devices were randomly set up in half of the rooms. Demographic data, comorbidities, lists of medications, and functional, nutritional, and frailty status were recorded. The residents were followed up for 3 months. The primary outcome was falls and the secondary outcome was all-cause mortality.

RESULTS:

A total of 26 participants were enrolled in the study. The study group consisted of 13 residents who had a fall detection device in their rooms. The remaining 13 residents on the same floor formed the control group. Participants had a mean age of 82 ± 10 years and 89% of the residents were female. The most prevalent comorbidity was dementia. Two residents from the control group and one resident from the study group experienced a fall event during follow-up. The fall events in the control group were identified retrospectively by the nursing home staff, whereas the fall in the study group received a prompt response from the staff who were notified by the alarm. One resident was transferred to the hospital and died due to a non-fall related reason.

CONCLUSION:

Device technology may provide an opportunity for timely intervention to prevent fall-related morbidity in institutionalized older adults.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Accidental Falls / Homes for the Aged / Nursing Homes Limits: Aged / Aged80 / Female / Humans / Male Language: En Journal: Psychogeriatrics Journal subject: GERIATRIA / PSICOLOGIA Year: 2024 Document type: Article Affiliation country: Turkey Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Accidental Falls / Homes for the Aged / Nursing Homes Limits: Aged / Aged80 / Female / Humans / Male Language: En Journal: Psychogeriatrics Journal subject: GERIATRIA / PSICOLOGIA Year: 2024 Document type: Article Affiliation country: Turkey Country of publication: United kingdom