Virtual Geriatric Care: User Perception of Telegeriatrics in Nursing Homes of Singapore

Purpose The purpose of this paper is to develop an Internet of medical things (IoMT)-based geriatric care management system (I-GCMS), integrating IoMT and case-based reasoning (CBR) in order to deal with the global concerns of the increasing demand for elderly care service in nursing homes. Design/methodology/approach The I-GCMS is developed under the IoMT environment to collect real-time biometric data for total health monitoring. When the health of an elderly deteriorates, the CBR is used to revise and generate the customized care plan, and hence support and improve the geriatric care management (GCM) service in nursing homes. Findings A case study is conducted in a nursing home in Taiwan to evaluate the performance of the I-GCMS. Under the IoMT environment, the time saving in executing total health monitoring helps improve the daily operation effectiveness and efficiency. In addition, the proposed system helps leverage a proactive approach in modifying the content of a care plan in response to the change of health status of elderly. Originality/value Considering the needs for demanding and accurate healthcare services, this is the first time that IoMT and CBR technologies have been integrated in the field of GCM. This paper illustrates how to seamlessly connect various sensors to capture real-time biometric data to the I-GCMS platform for responsively supporting decision making in the care plan modification processes. With the aid of I-GCMS, the efficiency in executing the daily routine processes and the quality of healthcare services can be improved.

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Human Activity Analysis for Geriatric Care in Nursing Homes

The Era of Interactive Media ◽

10.1007/978-1-4614-3501-3_5 ◽

2012 ◽

pp. 53-61 ◽

Cited By ~ 2

Author(s):

Ming-Yu Chen ◽

Alexander Hauptmann ◽

Ashok Bharucha ◽

Howard Wactlar ◽

Yi Yang

Keyword(s):

Nursing Homes ◽

Human Activity ◽

Activity Analysis ◽

Geriatric Care ◽

Human Activity Analysis

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The Need for Occupational Therapists in Geriatric Nursing Homes

British Journal of Occupational Therapy ◽

10.1177/030802268404700608 ◽

1984 ◽

Vol 47 (6) ◽

pp. 185-186 ◽

Cited By ~ 1

Author(s):

Sylvia Rodger

Keyword(s):

Nursing Homes ◽

Elderly Patients ◽

Occupational Therapists ◽

Well Being ◽

Geriatric Care ◽

Geriatric Nursing ◽

Unique Contribution ◽

Comprehensive Geriatric Care ◽

Health And Well Being

This article aims to highlight the contribution occupational therapists can make to comprehensive geriatric care. It emphasizes how the philosophy of the profession, as well as the training graduates receive, equip occupational therapists to aid in the maintenance of health and well-being in elderly patients. The specific skills occupational therapists possess which enable them to make a unique contribution to geriatric treatment teams are detailed.

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Psychogeriatric Inventory of Disconcerting Symptoms and Syndromes (PGI-DSS): validity and reliability of a new brief scale compared to the Neuropsychiatric Inventory for Nursing Homes (NPI-NH)

International Psychogeriatrics ◽

10.1017/s1041610220000496 ◽

2020 ◽

Vol 32 (9) ◽

pp. 1085-1095 ◽

Cited By ~ 2

Author(s):

Jean-Claude Monfort ◽

Anne-Marie Lezy ◽

Annie Papin ◽

Sophie Tezenas du Montcel

Keyword(s):

Nursing Homes ◽

Geriatric Care ◽

Qualitative Assessment ◽

Validity And Reliability ◽

Cronbach’S Alpha ◽

Cross Sectional ◽

French Version ◽

Cronbach's Alpha ◽

Intraclass Correlations ◽

Threshold Score

ABSTRACTObjectives:To validate the Psychogeriatric Inventory of Disconcerting Symptoms and Syndromes (PGI-DSS), a single scale in A4 format comprising four disconcerting syndromes (violence, refusal, words, and acts). The scale enables an immediate conversion of a qualitative assessment to a quantitative assessment. The PGI-DSS was compared with the Neuro Psychiatric Inventory for Nursing Homes (NPI-NH).Design:Cross-sectional descriptive and correlational studies.Setting:Thirty geriatric care units and nursing homes.Participants:Raters interviewed nurses and nursing assistants in charge of older adults hospitalized in geriatric care units or living in nursing homes (N = 226).Measurements:The French version of the PGI-DSS and the French version of the NPI-NH.Results:The correlation coefficient between the PGI-DSS and the NPI-NH was 0.70 (p < 0.0001). The PGI-DSS threshold score corresponding to the NPI threshold score was 17 (specificity: 87%, sensitivity: 63%). Four statistical factors, corresponding to the four clinical syndromes, explained 53.4% of the total variance. The internal consistency of the PGI-DSS (Cronbach’s alpha = 0.695) was higher than that of the NPI-NH (Cronbach’s alpha = 0.474). Test–retest reliability was better for the PGI-DSS than for the NPI-NH. The intraclass correlations were 0.80 [0.73; 0.86] and 0.75 [0.67; 0.83], respectively. Interrater reliability was better for the PGI-DSS than for the NPI-NH. The intraclass correlations were 0.65 [0.55–0.76] and 0.55 [0.43–0.68], respectively.Conclusion:The PGI-DSS was developed to overcome the limitations of the NPI-NH. New, brief, easy to administer in less than 4 minutes, foldable in four parts, pocket-sized, easy-to-read in the palm of the hand, PGI-DSS could have similar or better statistical properties than the NPI-NH. Whereas the 10 domains in the NPI-NH have clinical utility for clinicians, the four easily understandable syndromes in the PGI-DSS can help avoid inappropriate attitudes and can guide psychosocial interventions. It could likewise improve dialogue between caregivers and clinicians.

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