Literature DB >> 25540510

Assessment of the validity and internal consistency of a performance evaluation tool based on the Japanese version of the modified barthel index for elderly people living at home.

Tomoko Ohura1, Takahiro Higashi2, Tatsuro Ishizaki3, Takeo Nakayama4.   

Abstract

[Purpose] This study aimed to examine the validity and internal consistency of the Japanese version of a performance evaluation tool for activities of daily living (ADL) based on the modified Barthel Index (PET-MBI) among elderly people at home. [Subjects] The subjects were elderly people living at home in Japan. [Methods] A cross-sectional study was performed at five home care facilities for elderly people in Japan. ADL performance was evaluated for 128 participants using the PET-MBI, which included 10 self-care items. We used confirmatory factor analysis to estimate the factorial validity. We assessed data model fitness with the χ(2) statistic, the Goodness of Fit Index (GFI), Adjusted Goodness of Fit Index (AGFI), and Root Mean Square Error of Approximation (RMSEA). Cronbach's alpha coefficient was used to determine the internal consistency.
[Results] The mean age of the participants was 79.1±8.9 years. Among the 126 participants included in the analysis, 67 were women (53.2%). The single-factor model demonstrated a fair fit to the data, with the χ(2) statistic = 74.9 (df =35), GFI = 0.88, AGFI = 0.81, and RMSEA = 0.096, and the path coefficients of each item ranged from 0.44 to 0.95. The alpha coefficient of the 10-item scale was 0.93.
[Conclusion] The PET-MBI for elderly people at home was well validated.

Entities:  

Keywords:  Activities of daily living; Internal consistency; Validity

Year:  2014        PMID: 25540510      PMCID: PMC4273070          DOI: 10.1589/jpts.26.1971

Source DB:  PubMed          Journal:  J Phys Ther Sci        ISSN: 0915-5287


INTRODUCTION

The ability to perform activities of daily living (ADL) is an important component of quality of life for elderly individuals1,2,3,4). The International Classification of Functioning, Disability, and Health (ICF) defines “performance” as what an individual does in his/her current environment, whereas “capacity” is an individual’s ability to execute a task or an action in a “uniform” or “standard” environment5). The Barthel Index (BI) is a popular instrument for assessing ADL6, 7). It assesses a patient’s capacity to perform 10 daily tasks without assistance and provides a summed, overall BI score that reflects the patient’s level of independence. Of various suggested modifications8,9,10,11), Collins et al. specifically emphasized scoring based on performance rather than capacity6, 8), and Shah et al. proposed a five-point scale to increase responsiveness to changes in ADL6, 11). Combining performance-based assessment with responsiveness to change, we established a Japanese version of the performance evaluation tool based on the modified BI (PET-MBI) for institutionalized elderly people in Japan. Given that the PET-MBI scores as zero both “needs full assistance” and “not required” for elderly self-care, reasons for a zero score are included for clarification. In particular, the item “stair climbing” was not evaluated (i.e., scored as zero because it is “not required”) because very few institutionalized participants in our previous study actually needed to climb stairs in their daily lives12). Therefore, that study only confirmed validity and internal consistency with nine items of the PET-MBI. However, the BI and MBI are known as evaluation tools with 10 items related to self-care. The current study aimed to establish the validity and internal consistency of the 10-item PET-MBI for ADL assessment in elderly people living at home.

SUBJECTS AND METHODS

To examine the factorial validity and internal consistency of the PET-MBI, we recruited participants from patients registered at five home care facilities (day care or home visit rehabilitation services for elderly people) in Kyoto, Shiga, and Nagano, Japan. The PET-MBI was used to evaluate 128 volunteers out of the 200 individuals registered at these five facilities (57 participants out of 109 registered patients at two day care services; 71 participants out of 91 registered patients at three home visit rehabilitation services). Participant demographics and diagnoses were extracted from medical records, and participants underwent Mini Mental State Examination (MMSE)13, 14) testing administered by trained staff on-site. In this study, cognitively impaired participants were included because they were living at home in real settings. An occupational therapist or physical therapist working at each service evaluated ADL performance using the PET-MBI in December 2010. Therapists obtained information about the tasks from direct observation, written records, or communication with the care manager or caregiver. For example, the therapists directly observed the participants’ ADL, and they were instructed to gather information from caregivers and participants according to the PET-MBI evaluation sheets. The study protocol was approved by the Ethics Committees of the Seijoh University Faculty of Care and Rehabilitation (2010C0014) and Kyoto University Graduate School and Faculty of Medicine, Ethics Committee (E1011). Although the five participating facilities did not have ethics committees, each facility’s director approved the study, and notices of the study were posted at each facility. The objective of the study was explained to participants and their families, and written consent was obtained. To estimate factorial validity and approximate construct validity, we performed confirmatory factor analysis (CFA) using a generalized least squares method to certify the factorial validity of the 10 items based on the PET-MBI. We assessed data model fitness with the χ2 statistic, the Goodness of Fit Index (GFI), Adjusted Goodness of Fit Index (AGFI), and Root Mean Square Error of Approximation (RMSEA). The goodness of fit was evaluated by the following criteria: GFI >0.85, AGFI >0.8015), and RMSEA <0.10 (or <0.08 in reasonable approximate fit)16). Cronbach’s coefficient alpha17, 18) was used to determine the internal consistency of all ADL tasks. Analyses of CFA was performed with IBM SPSS Amos 19.0, and Cronbach’s coefficient alpha was calculated with SPSS 17.0 J.

RESULTS

Data from 126 of the 128 participants were analyzed (data were incomplete for two patients). As shown in Table 1, 43 of the 126 (34.4%) participants achieved MMSE scores lower than 18 points, indicating cognitive impairment. The results for the 10 tasks as assessed by the PET-MBI are shown for the participants in Table 2.
Table 1.

Participant characteristics (N=126)

N%
Female6753.2%
Age (mean±SD)79.1±8.9
< 75 years3830.2%
75–84 years4838.1%
≥ 85 years4031.7%
Primary diagnosis
Cerebrovascular disease5140.5%
Osteoarthropathy4737.3%
Neuromyopathy64.8%
Disuse syndrome54.0%
Other1713.5%
Comorbidity
Cerebrovascular disease6047.6%
Osteoarthropathy6753.2%
Neuromyopathy1411.1%
Disuse syndrome1511.9%
Hemiplegia
Yes4434.9%
Mini Mental State Examination (N=125)
0–82217.6%
9–172116.8%
18–233729.6%
≥ 244536.0%

SD: standard deviation. †Data from one participant who did not complete the MMSE due to aphasia were excluded from the analysis.

Table 2.

Description of grading for each item of the Japanese version of the performance evaluation tool based on the modified Barthel index (PET-MBI) (N=126)

TasksIndependentNeeds minimalassistanceNeeds someassistanceAttempts to do italone but needsa lot of assistanceNeeds full assistanceor does not perform/performance not required

N%N%N%N%N%
Toilet7156.32217.51310.364.81411.1
Chair/bed transfer8668.31411.197.1107.975.6
Personal hygiene7660.31511.91411.197.1129.5
Dressing6551.62116.786.32015.9129.5
Ambulation4132.53225.41411.1118.72822.2
Feeding8063.52620.697.132.486.3
Bowel control9474.686.3107.921.6129.5
Bladder control7559.52217.575.643.21814.3
Self-bathing3326.2129.54132.52721.41310.3
Stair climbing2217.5118.764.843.28365.9

Depending on the grade for each item, scoring was performed based on Shah’s MBI. †Grading for ambulation was divided further into five grades in accordance with the wheelchair movement independence level: independent, N=6; needs minimal assistance, N=4; needs some assistance, N=3; attempts to do it alone but needs a lot of assistance, N=2; needs full assistance; and does not perform/performance not required, N=13.

SD: standard deviation. †Data from one participant who did not complete the MMSE due to aphasia were excluded from the analysis. Depending on the grade for each item, scoring was performed based on Shah’s MBI. †Grading for ambulation was divided further into five grades in accordance with the wheelchair movement independence level: independent, N=6; needs minimal assistance, N=4; needs some assistance, N=3; attempts to do it alone but needs a lot of assistance, N=2; needs full assistance; and does not perform/performance not required, N=13. Data from 126 participants were analyzed by CFA (data were incomplete for two patients). As shown in Fig. 1, the model demonstrated a fair fit to the data: χ2 statistic = 74.9 (df =35, p < 0.01), GFI = 0.88, AGFI = 0.81, RMSEA = 0.096. The path coefficients for the ten items ranged from 0.44 to 0.95. Cronbach’s alpha coefficient for the 10-item scale was 0.929.
Fig. 1.

Confirmatory factor analysis of the PET-MBI χ2 statistic = 74.9 (df = 35, p < 0.01), GFI = 0.88, AGFI = 0.81, and RMSEA = 0.096

Confirmatory factor analysis of the PET-MBI χ2 statistic = 74.9 (df = 35, p < 0.01), GFI = 0.88, AGFI = 0.81, and RMSEA = 0.096

DISCUSSION

We confirmed satisfactory factorial validity and internal consistency of a Japanese version of the PET-MBI for elderly people living at home in Japan. Factor analysis revealed a single factor as initially hypothesized, and internal consistency was high15, 16), although the participants in this study were not only patients with a specific disease but also elderly individuals in general needing care at home. It has been suggested that elderly people need the opportunity to accomplish ADL tasks, and in order to maintain independence and minimize dependency levels, they should perform these tasks almost everyday19). Furthermore, the positive correlation between ADL and QOL is known well20). Although elderly residents in our previous study did not climb stairs in general12), 34.1% (43/126) of participants in the current study climbed stairs at home with minimal assistance or independently. Concerning factorial validity, the χ2 statistic, GFI, and AGFI indicated good fit of the model, although the results for RMSEA were suboptimal. The participants of this study were elderly people who used the rehabilitation services, so the backgrounds were diverse. In the model evaluation based on such populations, the goodness of fit is likely to be low relative to those derived from homogenous populations, e.g., patients with specific disease or disability. Assuming that our model is applied for these diverse elderly populations, the present result, even though it was suboptimal, is almost acceptable in practical viewpoint. Thus, the results of internal consistency and factor analysis suggest that not a few elderly people needed to climb stairs at home and did so. Some limitations are worth noting. First, the reliability of ADL assessment may not be generalizable to assessments by other care staff or to self-rated interviews with elderly people, because only OTs and PTs were involved in PET-MBI testing in this study. Further studies involving other healthcare workers are needed to confirm the utility of the PET-MBI. Second, among several ways to confirm the validity, only factorial validity was assessed. We did not verify conceptual validity, since the BI and MBI, items from which items were chosen to indicate the level of nursing care required by a patient6), are known to measure functional independence in personal care and mobility. Finally, we collected some basic information about the subjects, such as information about cognitive functions, paralysis, and diagnoses, but we did not collect data regarding the degree of paralysis. Therefore, it is not clear how the degree of paralysis affects the results. However, it is considered that there is no impact on the results. Use of the PET-MBI has some advantages in real practice. Although the PET-MBI scores as zero both “needs full assistance” and “not required” (e.g., stair climbing), the two cases have different meanings. Therefore, caution is needed when using the PET-MBI in practice, as a healthcare practitioner can readily comprehend an individual’s condition based on the description of whether the zero score reflects “cannot do” or “need not do”. Moreover, checkboxes for items pertaining to environment (e.g., availability of handrails) would make it easier for clinical staff to share information and provide consistent care, although this was not examined in this study. Accordingly, the PET-MBI could be used by healthcare practitioners for evaluating the self-care of elderly people who live at home and need to climb stairs. In conclusion, the PET-MBI demonstrated satisfactory factorial validity and internal consistency in elderly people living at home. It allows for practitioners in home care services to evaluate and communicate ADL performance of elderly people appropriately because it reports what they actually do in their daily lives.
  7 in total

1.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

Authors:  M F Folstein; S E Folstein; P R McHugh
Journal:  J Psychiatr Res       Date:  1975-11       Impact factor: 4.791

2.  FUNCTIONAL EVALUATION: THE BARTHEL INDEX.

Authors:  F I MAHONEY; D W BARTHEL
Journal:  Md State Med J       Date:  1965-02

3.  Improving the sensitivity of the Barthel Index for stroke rehabilitation.

Authors:  S Shah; F Vanclay; B Cooper
Journal:  J Clin Epidemiol       Date:  1989       Impact factor: 6.437

4.  The use of functional assessment in understanding home care needs.

Authors:  R H Fortinsky; C V Granger; G B Seltzer
Journal:  Med Care       Date:  1981-05       Impact factor: 2.983

5.  Outcome of comprehensive medical rehabilitation: measurement by PULSES profile and the Barthel Index.

Authors:  C V Granger; G L Albrecht; B B Hamilton
Journal:  Arch Phys Med Rehabil       Date:  1979-04       Impact factor: 3.966

6.  The Barthel ADL Index: a reliability study.

Authors:  C Collin; D T Wade; S Davies; V Horne
Journal:  Int Disabil Stud       Date:  1988

7.  Correlation between the Activities of Daily Living of Stroke Patients in a Community Setting and Their Quality of Life.

Authors:  Kyung Kim; Young Mi Kim; Eun Kyung Kim
Journal:  J Phys Ther Sci       Date:  2014-03-25
  7 in total
  8 in total

1.  The culturally adapted Italian version of the Barthel Index (IcaBI): assessment of structural validity, inter-rater reliability and responsiveness to clinically relevant improvements in patients admitted to inpatient rehabilitation centers.

Authors:  S F Castiglia; G Galeoto; A Lauta; A Palumbo; F Tirinelli; F Viselli; Valter Santilli; M L Sacchetti
Journal:  Funct Neurol       Date:  2017 Oct/Dec

2.  Mediating effect of self-control in relation to depression, stress, and activities of daily living in community residents with stroke.

Authors:  Jung-Hee Kim; Eun-Young Park
Journal:  J Phys Ther Sci       Date:  2015-08-21

3.  Effects of a 12-week marching in place and chair rise daily exercise intervention on ADL and functional mobility in frail older adults.

Authors:  Yoshiji Kato; Mohammod M Islam; Daisuke Koizumi; Michael E Rogers; Nobuo Takeshima
Journal:  J Phys Ther Sci       Date:  2018-04-13

4.  Validity and reliability of a performance evaluation tool based on the modified Barthel Index for stroke patients.

Authors:  Tomoko Ohura; Kimitaka Hase; Yoshie Nakajima; Takeo Nakayama
Journal:  BMC Med Res Methodol       Date:  2017-08-25       Impact factor: 4.615

5.  Determining the cut-off score for the Modified Barthel Index and the Modified Rankin Scale for assessment of functional independence and residual disability after stroke.

Authors:  Seung Yeol Lee; Deog Young Kim; Min Kyun Sohn; Jongmin Lee; Sam-Gyu Lee; Yong-Il Shin; Soo-Yeon Kim; Gyung-Jae Oh; Young Hoon Lee; Yang-Soo Lee; Min Cheol Joo; So Young Lee; Jeonghoon Ahn; Won Hyuk Chang; Ji Yoo Choi; Sung Hyun Kang; Il Yoel Kim; Junhee Han; Yun-Hee Kim
Journal:  PLoS One       Date:  2020-01-29       Impact factor: 3.240

6.  Association between malnutrition and Barthel Index in a cohort of hospitalized older adults article information.

Authors:  Jorge Hugo Villafañe; Caterina Pirali; Silvia Dughi; Amidio Testa; Sandro Manno; Mark D Bishop; Stefano Negrini
Journal:  J Phys Ther Sci       Date:  2016-02-29

7.  Relationship between occlusal force and falls among community-dwelling elderly in Japan: a cross-sectional correlative study.

Authors:  Maki Eto; Shinji Miyauchi
Journal:  BMC Geriatr       Date:  2018-05-09       Impact factor: 3.921

8.  The efficacy of specialised rehabilitation using the Op-reha Guide for cancer patients in palliative care units: protocol of a multicentre, randomised controlled trial (JORTC-RHB02).

Authors:  Nanako Nishiyama; Yoshinobu Matsuda; Noriko Fujiwara; Keisuke Ariyoshi; Shunsuke Oyamada; Keiichi Narita; Ryouhei Ishii; Satoru Iwase
Journal:  BMC Palliat Care       Date:  2020-10-22       Impact factor: 3.234

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.