Dataset Information

Inter-rater and intra-rater reliability of the extended TUG test in elderly participants.

ABSTRACT: BACKGROUND:To analyse the reliability, variance and execution time of the Extended Timed Up and Go (Extended TUG) test in three age groups of elderly participants (G1: 55-64?years; G2: 65-74?years; G3: 75-85?years). METHODS:An analytical cross-sectional study of 114 recruited participants (63 women) of average age 70.17 (± 7.3) years was undertaken. Each participant performed the Extended TUG three consecutive times, with a rest break between tests of 120?s. Both the intragroup and intergroup reliability of the measurements in the Extended TUG were analysed. RESULTS:The reliability of the Extended TUG test is excellent for the first and second decades but drops down to good for the third decade. Specifically, intragroup reliability ranged from 0.784 for G3 to 0.977 for G1 (G2?=?0.858). Intergroup reliability, compared with intragroup reliability, was slightly lower, ranging between 0.779 for G3 and 0.972 for G1 (G2?=?0.853). CONCLUSION:The reliability of the Extended TUG test progressively decreases with increasing age, being excellent for the younger age groups and good for the oldest age group.

SUBMITTER: Bedoya-Belmonte JJ

PROVIDER: S-EPMC7020600 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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İnter-rater and intra-rater reliability of the extended TUG test in elderly participants.

Bedoya-Belmonte Juan José JJ Rodríguez-González María Del Mar MDM González-Sánchez Manuel M Pitarch Jose Miguel Barreda JMB Galán-Mercant Alejandro A Cuesta-Vargas Antonio I AI

BMC geriatrics 20200213 1

<h4>Background</h4>To analyse the reliability, variance and execution time of the Extended Timed Up and Go (Extended TUG) test in three age groups of elderly participants (G1: 55-64 years; G2: 65-74 years; G3: 75-85 years).<h4>Methods</h4>An analytical cross-sectional study of 114 recruited participants (63 women) of average age 70.17 (± 7.3) years was undertaken. Each participant performed the Extended TUG three consecutive times, with a rest break between tests of 120 s. Both the intragroup an ...[more]

PMID: 32054448

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Project description:BACKGROUND:There is a growing trend in the use of mobile health (mHealth) technologies in traditional Chinese medicine (TCM) and telemedicine, especially during the coronavirus disease (COVID-19) outbreak. Tongue diagnosis is an important component of TCM, but also plays a role in Western medicine, for example in dermatology. However, the procedure of obtaining tongue images has not been standardized and the reliability of tongue diagnosis by smartphone tongue images has yet to be evaluated. OBJECTIVE:The first objective of this study was to develop an operating classification scheme for tongue coating diagnosis. The second and main objective of this study was to determine the intra-rater and inter-rater reliability of tongue coating diagnosis using the operating classification scheme. METHODS:An operating classification scheme for tongue coating was developed using a stepwise approach and a quasi-Delphi method. First, tongue images (n=2023) were analyzed by 2 groups of assessors to develop the operating classification scheme for tongue coating diagnosis. Based on clinicians' (n=17) own interpretations as well as their use of the operating classification scheme, the results of tongue diagnosis on a representative tongue image set (n=24) were compared. After gathering consensus for the operating classification scheme, the clinicians were instructed to use the scheme to assess tongue features of their patients under direct visual inspection. At the same time, the clinicians took tongue images of the patients with smartphones and assessed tongue features observed in the smartphone image using the same classification scheme. The intra-rater agreements of these two assessments were calculated to determine which features of tongue coating were better retained by the image. Using the finalized operating classification scheme, clinicians in the study group assessed representative tongue images (n=24) that they had taken, and the intra-rater and inter-rater reliability of their assessments was evaluated. RESULTS:Intra-rater agreement between direct subject inspection and tongue image inspection was good to very good (Cohen ? range 0.69-1.0). Additionally, when comparing the assessment of tongue images on different days, intra-rater reliability was good to very good (? range 0.7-1.0), except for the color of the tongue body (?=0.22) and slippery tongue fur (?=0.1). Inter-rater reliability was moderate for tongue coating (Gwet AC2 range 0.49-0.55), and fair for color and other features of the tongue body (Gwet AC2=0.34). CONCLUSIONS:Taken together, our study has shown that tongue images collected via smartphone contain some reliable features, including tongue coating, that can be used in mHealth analysis. Our findings thus support the use of smartphones in telemedicine for detecting changes in tongue coating.

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Dataset Information

Inter-rater and intra-rater reliability of the extended TUG test in elderly participants.

Publications

İnter-rater and intra-rater reliability of the extended TUG test in elderly participants.

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