Chronic Illness Trends and the Challenges to Family Caregivers

Wolff, Jennifer L.; Jacobs, Barry J.

doi:10.1016/b978-0-12-417046-9.00007-6

Cited by 7 publications

(4 citation statements)

References 123 publications

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“…In addition, it is estimated that, by the year 2050, 16% of the world’s population will be over age 65, in comparison to 9% in 2019. These trends have significantly contributed to increased incidence rate of disabilities and chronic diseases which put additional demands on the health care systems [2]. One of the possible solutions to deal with this challenge, which could enable elderly and disabled people to live independently for as long as possible in their own homes, is to apply Ambient Assisted Living (AAL) concepts within long-term health care support.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Assessment of Head Tremor in Patients with Essential Tremor and Cervical Dystonia by Using Inertial Sensors

Berbakov

Jovanovic

Svetel

et al. 2019

Sensors

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Tremor is most common among the movement disabilities that affect older people, having a prevalence rate of 4.6% in the population older than 65 years. Despite this, distinguishing different types of tremors is clinically challenging, often leading to misdiagnosis. However, due to advances in microelectronics and wireless communication, it is now possible to easily monitor tremor in hospitals and even in home environments. In this paper, we propose an architecture of a system for remote health-care and one possible implementation of such system focused on head tremor monitoring. In particular, the aim of the study presented here was to test new tools for differentiating essential tremor from dystonic tremor. To that aim, we propose a number of temporal and spectral features that are calculated from measured gyroscope signals, and identify those that provide optimal differentiation between two groups. The mean signal amplitude feature results in sensitivity = 0.8537 and specificity = 0.8039 in distinguishing patients having cervical dystonia with or without tremor. In addition, mean signal amplitude was shown to be significantly higher in patients with essential tremor than in patients with cervical dystonia, whereas the mean peak frequency is not different between two groups.

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Section: Introductionmentioning

confidence: 99%

Quantitative Assessment of Head Tremor in Patients with Essential Tremor and Cervical Dystonia by Using Inertial Sensors

Berbakov

Jovanovic

Svetel

et al. 2019

Sensors

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show abstract

“…At the global level, by 2050, 16% of population will be aged above 65 years, in contrast to 9% in the year 2019. These trends are expected to result in an increased incidence rate of chronic diseases and disabilities which will require healthcare systems to adopt new approaches in organization and advancements of the medical treatments [2].…”

Section: Introductionmentioning

confidence: 99%

Emerging Wireless Sensor Networks and Internet of Things Technologies—Foundations of Smart Healthcare

Gardasevic

Katzis

Bajić

et al. 2020

Sensors

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Future smart healthcare systems—often referred to as Internet of Medical Things (IoMT) – will combine a plethora of wireless devices and applications that use wireless communication technologies to enable the exchange of healthcare data. Smart healthcare requires sufficient bandwidth, reliable and secure communication links, energy-efficient operations, and Quality of Service (QoS) support. The integration of Internet of Things (IoT) solutions into healthcare systems can significantly increase intelligence, flexibility, and interoperability. This work provides an extensive survey on emerging IoT communication standards and technologies suitable for smart healthcare applications. A particular emphasis has been given to low-power wireless technologies as a key enabler for energy-efficient IoT-based healthcare systems. Major challenges in privacy and security are also discussed. A particular attention is devoted to crowdsourcing/crowdsensing, envisaged as tools for the rapid collection of massive quantities of medical data. Finally, open research challenges and future perspectives of IoMT are presented.

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“…caregiver preparedness Indonesia preparedness for caregiving scale psychometric testing translation family members suffering from NCD (Wolff & Jacobs, 2015). In this case, the most responsible person is their family caregiver (Rha et al, 2015).…”

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confidence: 99%

Translation and Psychometric Testing of the Indonesian Version of the Preparedness for Caregiving Scale

Sari

Nirmalasari²

2021

NLJ

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Background: Although many previous studies have used the Preparedness for Caregiving Scale (PCS), it has not been translated and validated in Indonesia. Purpose: This study aimed to translate and evaluate the PCS’s psychometric adequacy among family caregiver of non-communicable disease (NCD) patients in Indonesia. Methods: The linguistic of the PCS was validated using a standard forward-backward process. The Indonesian version was approved with Content Validity Index (CVI). Then a cross-sectional survey was conducted to establish the construct validity of the PCS to measure caregiver preparedness. A purposive sampling approach was used to recruit 40 consenting family caregivers of NCD patients. The PCS sum score was correlated with each item using Pearson product-moment. The internal consistency of the Indonesian version of the PCS (I-PCS) was assessed using Cronbach’s alpha. Results: The Item-CVI (I-CVI) and Scale-level CVI (S-CVI) of the I-PCS were 1.00. It showed the high content validity of the I-PCS. The I-PCS revealed a Cronbach’s alpha of 0.933 for the total score. The Pearson-r was more than 0.320 indicated that the item valid. Conclusion: The I-PCS is appeared to be valid and reliable for measuring the caregiver preparedness of NCD patients in Indonesia.

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Chronic Illness Trends and the Challenges to Family Caregivers

Cited by 7 publications

References 123 publications

Quantitative Assessment of Head Tremor in Patients with Essential Tremor and Cervical Dystonia by Using Inertial Sensors

Quantitative Assessment of Head Tremor in Patients with Essential Tremor and Cervical Dystonia by Using Inertial Sensors

Emerging Wireless Sensor Networks and Internet of Things Technologies—Foundations of Smart Healthcare

Translation and Psychometric Testing of the Indonesian Version of the Preparedness for Caregiving Scale

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