Psychometric characteristics of comprehensive geriatric assessments (CGAs) for long-term care facilities and community care: A systematic review

Ulate, Mauricio Molinari; Mahmoudi, Aysan; Franco-Martín, Manuel; Roest, H.G. van der

doi:10.1016/j.arr.2022.101742

Cited by 2 publications

(3 citation statements)

References 73 publications

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“…These results raise a concern in terms of how many CGAs are being supported by DHTs, as in this study, only the interRAI family of CGAs was identified, even when a previous systematic review reported a total of three CGAs for long-term care and seven for community care. 31 According to Molinari-Ulate et al, 31 the interRAI family of instruments is the most studied CGA in the scientific literature in both settings, which could explain why there is evidence of the DHTs supporting them. Nonetheless, we cannot conclude if the lack of scientific literature reporting on DHTs supporting the remaining CGAs is because they are not being supported by DHTs or because of a lack of studies and evidence on their feasibility and usability, efficacy and effectiveness, and implementation.…”

Section: Discussionmentioning

confidence: 99%

“…Even though DHTs are considered essential in collecting, processing, and reporting outcomes relevant to daily care practice, we only identified studies of DHTs supporting the interRAI suite of instruments from all the CGAs identified in Molinari-Ulate et al 31 For further development of DHTs for this goal and to support optimal utilization of valuable CGAs to improve the quality of care, more insight is required into how care professionals use DHTs and their outputs efficiently, in such a way that it supports daily care practice.…”

Section: Discussionmentioning

confidence: 99%

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Digital health technologies supporting the application of comprehensive geriatric assessments in long-term care settings or community care: A systematic review

et al. 2023

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Objective To provide high-quality elderly care, digital health technologies (DHTs) can potentially assist in reaching the full capacity of comprehensive geriatric assessments (CGAs) to improve communication and data transfer on patients’ medical and treatment plan information and health decision-making. This systematic review aimed to describe the evidence on the feasibility and usability, efficacy and effectiveness, and implementation outcomes of DHTs developed to facilitate the administration of CGAs for long-term care settings or community care and to describe their technical features and components. Methods A search strategy was conducted in three databases, targeting studies evaluating the DHTs facilitating the administration of CGAs used in long-term care settings or community care. Studies in English and Spanish published up to 5 April 2023 were considered. Results Four DHTs supporting the administration of the CGAs were identified. Limited information was found on the technical features and required hardware. Some of the barriers identified regarding usability can be overcome with novel technologies; however, training of health professionals on the assessments and staff knowledge regarding the purpose of the data collected are not technology related and need to be addressed. Conclusions Barriers regarding usability were related to experienced difficulties navigating the software, unstable network connectivity, and length of the assessment. Feasibility obstacles were associated with the lack of training to use the DHT, availability and accessibility to hardware (e.g. laptops), and lack of insight into the clinical benefits of collected data. Further research must focus on these areas to improve the implementation and usefulness of these DHTs.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Digital health technologies supporting the application of comprehensive geriatric assessments in long-term care settings or community care: A systematic review

et al. 2023

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“…A multidimensional evaluation [15,16] is an essential tool to assess this particular population, which is dealing with various multisystemic comorbidities [17][18][19][20] and the potential risks associated with polypharmacy [21,22]. An early evaluation of cognitive-affective status [23][24][25][26], functional abilities [27][28][29], and nutritional and metabolic status [30][31][32] can help the patient have better long-term outcomes [33][34][35]. Among the mentioned multimorbidity, metabolic pathologies are of particular interest.…”

Section: Introductionmentioning

confidence: 99%

Diabetes mellitus, malnutrition, and sarcopenia: The bond is not explained by bioelectrical impedance analysis in older adults

Salis,

Zanda,

Cherchi

et al. 2023

JMedLife

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As people age, their risk of diabetes mellitus (DM) and sarcopenia increases due to the decline in muscle mass and strength. Bioelectrical impedance analysis (BIA) is a method used to detect changes in body composition. The primary aim of the study was to determine the distribution of BIA variables among a group of non-DM people and two groups of patients with controlled and uncontrolled DM. The secondary aim was to establish the independent association between BIA-derived data, lipidic assets, and the prevalence of metabolic syndromes with DM. This study included a total of 235 participants who were categorized into three groups based on the presence of diabetes mellitus (DM) and their glycated hemoglobin (HbA1c) levels: non-DM, controlled DM (HbA1c≤7.0%), and uncontrolled DM (HbA1c>7.0%). Waist circumference (p=0.005), bone (p<0.001), muscular (p<0.001), and appendicular skeletal mass (p<0.001) were lower in the non-DM group, while sarcopenic risk (p<0.001), total cholesterol (p<0.001), and LDL (p<0.001), were higher. Grip strength (p<0.001), visceral fat (p=0.01), and phase angle (p=0.04) were significantly lower in non-DM than uncontrolled DM patients, as well as the number of drugs taken (p=0.014). A multivariate analysis highlighted that LDL (coefficient -0.006, p=0.01) was negatively associated, while bone mass (coefficient 0.498, p=0.0042) was positively associated with DM uncontrol. Our study shows that BIA may not be the ideal tool for distinguishing between elderly individuals with and without DM, as it can be affected by numerous covariates, including potential differences in glucometabolic and cardiovascular control.

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Psychometric characteristics of comprehensive geriatric assessments (CGAs) for long-term care facilities and community care: A systematic review

Cited by 2 publications

References 73 publications

Digital health technologies supporting the application of comprehensive geriatric assessments in long-term care settings or community care: A systematic review

Digital health technologies supporting the application of comprehensive geriatric assessments in long-term care settings or community care: A systematic review

Diabetes mellitus, malnutrition, and sarcopenia: The bond is not explained by bioelectrical impedance analysis in older adults

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