Italian translation and cross-cultural validation of an assessment tool for participation in stroke survivors: the Frenchay Activities Index.
Outcome assessment, Healthcare
Patient outcome assessment
Psychometrics
Reproducibility of results
Validation studies
Journal
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
ISSN: 1590-3478
Titre abrégé: Neurol Sci
Pays: Italy
ID NLM: 100959175
Informations de publication
Date de publication:
Jul 2022
Jul 2022
Historique:
received:
10
12
2021
accepted:
08
02
2022
pubmed:
19
2
2022
medline:
24
6
2022
entrez:
18
2
2022
Statut:
ppublish
Résumé
Participation needs to be assessed objectively, to state accurate rehabilitation objectives. The Frenchay Activities Index (FAI) is a widely used tool to measure participation in stroke patients. To date, no cross-culturally validated Italian version of FAI is available. This study provides a translation and cross-cultural adaptation of FAI into Italian, assessing its validity and reliability in sub-acute stroke patients. According to international guidelines, a multistep translation and cultural adaptation protocol of forward and backward translations was conducted by qualified linguists and independent native English translators and revised by a healthcare committee. Patients admitted to intensive inpatient rehabilitation after stroke were recruited. Structural validity, reliability (internal consistency, inter- and intra-rater reliability and measurement error), and construct validity were studied. One hundred and seventy-three patients were included in this study. No significant observations in terms of comprehensibility and conceptual equivalence of the FAI Italian version emerged. The exploratory factorial analysis revealed the presence of two subscales (i.e., domestic chores and work/leisure). The internal consistency resulted good for the first and second subscale (α = 0.821 and 0.716, respectively). Intra- and inter-reliability showed an ICC > 0.90 for both subscales. SEM = 5.75% and 2.33% and MDC = 15.85% and 6.48% were found for the first and second subscale, respectively. Construct validity of first subscale was satisfactory, as 100.0% a priori hypotheses were met, while for the second subscale it was moderate, as 66.6% a priori hypotheses were respected. FAI-I provides a tool for professionals to measure participation in Italian stroke patients in health and social care settings.
Identifiants
pubmed: 35179673
doi: 10.1007/s10072-022-05949-5
pii: 10.1007/s10072-022-05949-5
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
4297-4306Informations de copyright
© 2022. Fondazione Società Italiana di Neurologia.
Références
Lopez AD, Mathers CD, Ezzati M, Jamison DT, Murray CJ (2006) Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data. Lancet 367:1747–1757
doi: 10.1016/S0140-6736(06)68770-9
pubmed: 16731270
Tse T, Douglas J, Lentin P, Carey L (2013) Measuring participation after stroke: a review of frequently used tools. Arch Phys Med Rehabil 94:177–192
doi: 10.1016/j.apmr.2012.09.002
pubmed: 22982555
Palstam A, Sjödin A, Sunnerhagen KS (2019) Participation and autonomy five years after stroke: a longitudinal observational study. PLoS One. 14:e0219513
pmcid: 6613678
doi: 10.1371/journal.pone.0219513
pubmed: 31283800
Rochette A, Desrosiers J, Bravo G, St-Cyr-Tribble D, Bourget A (2007) Changes in participation after a mild stroke: quantitative and qualitative perspectives. Top Stroke Rehabil 14:59–68
doi: 10.1310/tsr1403-59
pubmed: 17577968
Norlander A, Carlstedt E, Jönsson AC, Lexell EM, Ståhl A, Lindgren A, Iwarsson S (2016) Long-term predictors of social and leisure activity 10 years after stroke. PLoS One 11:e0149395
pmcid: 4765767
doi: 10.1371/journal.pone.0149395
pubmed: 26901501
Desrosiers J, Noreau L, Rochette A, Bourbonnais D, Bravo G, Bourget A (2006) Predictors of long-term participation after stroke. Disabil Rehabil 28:221–230
doi: 10.1080/09638280500158372
pubmed: 16467057
Word Health Organization (2001) World Health Organization international classification of functioning, disability and health. World Health Organization, Geneva
Norlander A, Jönsson AC, Ståhl A, Lindgren A, Iwarsson S (2016) Activity among long-term stroke survivors. A study based on an ICF-oriented analysis of two established ADL and social activity instruments. Disabil Rehabil 38:2028–2037
doi: 10.3109/09638288.2015.1111437
pubmed: 26729231
Cecchi F, Cassio A, Lavezzi S, Scarponi F, Gatta G, Montis A, Bernucci C, Franceschini M, Bargellesi S, Paolucci S, Taricco M (2021) Redefining a minimal assessment protocol for stroke rehabilitation: the new “Protocollo di Minima per l’ICtus” (PMIC2020). Eur J Phys Rehabil Med 57:669–676
doi: 10.23736/S1973-9087.21.06638-7
pubmed: 34042407
Schuling J, de Haan R, Limburg M, Groenier KH (1993) The Frenchay Activities Index. Assessment of functional status in stroke patients. Stroke 24:1173–1177
doi: 10.1161/01.STR.24.8.1173
pubmed: 8342192
Miller WC, Deathe AB, Harris J (2004) Measurement properties of the Frenchay Activities Index among individuals with a lower limb amputation. Clin Rehabil 18:414–422
doi: 10.1191/0269215504cr728oa
pubmed: 15180125
Hsieh CL, Jang Y, Yu TY, Wang WC, Sheu CF, Wang YH (2007) A Rasch analysis of the Frenchay Activities Index in patients with spinal cord injury. Spine 32:437–442
doi: 10.1097/01.brs.0000255095.08523.39
pubmed: 17304134
Wade DT, Legh-Smith J, Langton Hewer R (1985) Social activities after stroke: measurement and natural history using the Frenchay Activities Index. Int Rehabil Med 7:176–181
pubmed: 4093249
Wu CY, Chuang LL, Lin KC, Horng YS (2011) Responsiveness and validity of two outcome measures of instrumental activities of daily living in stroke survivors receiving rehabilitative therapies. Clin Rehabil 25:175–183
doi: 10.1177/0269215510385482
pubmed: 21059664
Lin KC, Chen HF, Wu CY, Yu TY, Ouyang P (2012) Multidimensional Rasch validation of the Frenchay Activities Index in stroke patients receiving rehabilitation. J Rehabil Med 44:58–64
doi: 10.2340/16501977-0911
pubmed: 22124733
Piercy M, Carter J, Mant J, Wade DT (2000) Inter-rater reliability of the Frenchay activities index in patients with stroke and their careers. Clin Rehabil 14:433–440
doi: 10.1191/0269215500cr327oa
pubmed: 10945428
Post MW, de Witte LP (2003) Good inter-rater reliability of the Frenchay Activities Index in stroke patients. Clin Rehabil 17:548–552
doi: 10.1191/0269215503cr648oa
pubmed: 12952162
Indredavik B, Bakke F, Slørdahl SA, Rokseth R, Håheim LL (1998) Stroke unit treatment improves long-term quality of life: a randomized controlled trial. Stroke 29:895–899
doi: 10.1161/01.STR.29.5.895
pubmed: 9596231
Hsieh CL, Hsueh IP (1999) A cross-validation of the comprehensive assessment of activities of daily living after stroke. Scand J Rehabil Med 31:83–88
doi: 10.1080/003655099444588
pubmed: 10380723
Bullinger M, Anderson R, Cella D, Aaronson N (1993) Developing and evaluating cross-cultural instruments from minimum requirements to optimal models. Qual Life Res 2:451–459
doi: 10.1007/BF00422219
pubmed: 8161979
Halm EA, Fine MJ, Kapoor WN, Singer DE, Marrie TJ, Siu AL (2002) Instability on hospital discharge and the risk of adverse outcomes in patients with pneumonia. Arch Intern Med 162:1278–1284
doi: 10.1001/archinte.162.11.1278
pubmed: 12038946
Goldstein LB, Samsa GP (1997) Reliability of the National Institutes of Health Stroke Scale. Extension to non-neurologists in the context of a clinical trial. Stroke 28:307–310
doi: 10.1161/01.STR.28.2.307
pubmed: 9040680
Quinn TJ, Dawson J, Walters MR, Lees KR (2009) Exploring the reliability of the modified rankin scale. Stroke 40:762–766
doi: 10.1161/STROKEAHA.108.522516
pubmed: 19131664
Shah S, Vanclay F, Cooper B (1989) Improving the sensitivity of the Barthel Index for stroke rehabilitation. J Clin Epidemiol 42:703–709
doi: 10.1016/0895-4356(89)90065-6
pubmed: 2760661
Anderson CS, Jamrozik KD, Broadhurst RJ, Stewart-Wynne EG (1994) Predicting survival for 1 year among different subtypes of stroke. Results from the Perth Community Stroke Study. Stroke 25:1935–1944
doi: 10.1161/01.STR.25.10.1935
pubmed: 8091436
Beaton DE, Bombardier C, Guillemin F, Ferraz MB (2000) Guidelines for the process of cross-cultural adaptation of self-report measures. Spine 25:3186–3191
doi: 10.1097/00007632-200012150-00014
pubmed: 11124735
Mokkink LB, Terwee CB, Knol DL, Stratford PW, Alonso J, Patrick DL, Bouter LM, de Vet HC (2010) The COSMIN checklist for evaluating the methodological quality of studies on measurement properties: a clarification of its content. BMC Med Res Methodol 10:22
pmcid: 2848183
doi: 10.1186/1471-2288-10-22
pubmed: 20298572
Velicer WF, Fava JL (1998) Affects of variable and subject sampling on factor pattern recovery. Psychol Methods 3:231
doi: 10.1037/1082-989X.3.2.231
Bonett DG (2002) Sample size requirements for estimating intraclass correlations with desired precision. Stat Med 21:1331–1335
doi: 10.1002/sim.1108
pubmed: 12111881
Imam B, Miller WC (2012) Reliability and validity of scores of a Chinese version of the Frenchay Activities Index. Arch Phys Med Rehabil 93:520–526
doi: 10.1016/j.apmr.2011.07.197
pubmed: 22209474
Hoffer MM, Feiwell E, Perry R, Perry J, Bonnett C (1973) Functional ambulation in patients with myelomeningocele. J Bone Joint Surg Am 55:137–148
doi: 10.2106/00004623-197355010-00014
pubmed: 4570891
Perry J, Garrett M, Gronley JK, Mulroy SJ (1995) Classification of walking handicap in the stroke population. Stroke 26:982–989
doi: 10.1161/01.STR.26.6.982
pubmed: 7762050
Collen FM, Wade DT, Robb GF, Bradshaw CM (1991) The Rivermead Mobility Index: a further development of the Rivermead Motor Assessment. Int Disabil Stud 13:50–54
doi: 10.3109/03790799109166684
pubmed: 1836787
Hsueh IP, Wang CH, Sheu CF, Hsieh CL (2003) Comparison of psychometric properties of three mobility measures for patients with stroke. Stroke 34:1741–1745
doi: 10.1161/01.STR.0000075295.45185.D4
pubmed: 12775883
Franchignoni F, Tesio L, Benevolo E, Ottonello M (2003) Psychometric properties of the Rivermead Mobility Index in Italian stroke rehabilitation inpatients. Clin Rehabil 17:273–282
doi: 10.1191/0269215503cr608oa
pubmed: 12735534
Lawton MP, Brody EM (1969) Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 9:179–186
doi: 10.1093/geront/9.3_Part_1.179
pubmed: 5349366
Pashmdarfard M, Azad A (2020) Assessment tools to evaluate Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL) in older adults: a systematic review. Med J Islam Repub Iran 34:33
pmcid: 7320974
pubmed: 32617272
Bonaiuti D (2011) Le scale di misura in riabilitazione. Società Editrice Universo, Rome
McHorney CA, Tarlov AR (1995) Individual-patient monitoring in clinical practice: are available health status surveys adequate? Qual Life Res 4:293–307
doi: 10.1007/BF01593882
pubmed: 7550178
Hoyle R (2000) Confirmatory factor analysis. Handbook Of Applied Multivariate Statistics And Mathematical Modeling. Tinsley, HEA & Brown, SD. Academic Press, New York 465:497
Lt Hu, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model 6:1–55
doi: 10.1080/10705519909540118
Muthén L, Muthén B (2010) Version 6 Mplus user’s guide. Muthén & Muthén, Los Angeles
De Vet HC, Terwee CB, Mokkink LB, Knol DL (2011) Measurement in medicine: a practical guide. Cambridge University Press, Cambridge
doi: 10.1017/CBO9780511996214
Bland JM, Altman DG (1997) Cronbach’s alpha. BMJ 314:572
pmcid: 2126061
doi: 10.1136/bmj.314.7080.572
pubmed: 9055718
DeVellis RF (2006) Classical test theory. Med Care 44:S50-59
doi: 10.1097/01.mlr.0000245426.10853.30
pubmed: 17060836
Portney LG, Watkins MP (2009) Foundations of clinical research: applications to practice, vol 892. Pearson/Prentice Hall, Upper Saddle River
Koo TK, Li MY (2016) A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 15:155–163
pmcid: 4913118
doi: 10.1016/j.jcm.2016.02.012
pubmed: 27330520
Munro BH (2005) Statistical methods for health care research, vol 1. Lippincott Williams & Wilkins, Philadelphia
Prinsen CA, Vohra S, Rose MR, Boers M, Tugwell P, Clarke M, Williamson PR, Terwee CB (2016) How to select outcome measurement instruments for outcomes included in a “Core Outcome Set” - a practical guideline. Trials 17:449
pmcid: 5020549
doi: 10.1186/s13063-016-1555-2
pubmed: 27618914
Murgia M, Bernetti A, Delicata M, Massetti C, Achilli EM, Mangone M, Ioppolo F, Di Sante L, Santilli V, Galeoto G, Agostini F, Venditto T (2018) Inter- and intra-interviewer reliability of Italian version of Pediatric Evaluation of Disability Inventory (I-PEDI). Ann Ig 30:153–161
pubmed: 29465152
Han CW, Lee EJ, Kohzuki M (2009) Validity and reliability of the Frenchay Activities Index for community-dwelling elderly in South Korea. Tohoku J Exp Med 217:163–168
doi: 10.1620/tjem.217.163
pubmed: 19282650
Lu WS, Chen CC, Huang SL, Hsieh CL (2012) Smallest real difference of 2 instrumental activities of daily living measures in patients with chronic stroke. Arch Phys Med Rehabil 93:1097–1100
doi: 10.1016/j.apmr.2012.01.015
pubmed: 22475058
Liu R, Wang N (2011) Reliability studies on the Frenchay activities index applications in Chinese healthy subjects and stroke patients. Chin J Rehabil Med 26:323-328+336
Turnbull JC, Kersten P, Habib M, McLellan L, Mullee MA, George S (2000) Validation of the Frenchay Activities Index in a general population aged 16 years and older. Arch Phys Med Rehabil 81:1034–1038
doi: 10.1053/apmr.2000.7162
pubmed: 10943751