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BMC Health Services Research
Published in: BMC Health Services Research 1/2010

Open Access 01-12-2010 | Research article

Feasibility of the Dutch ICF Activity Inventory: a pilot study

Authors: Janna E Bruijning, Ruth MA van Nispen, Ger HMB van Rens

Published in: BMC Health Services Research | Issue 1/2010

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Abstract

Background

Demographic ageing will lead to increasing pressure on visual rehabilitation services, which need to be efficiently organised in the near future. The Dutch ICF Activity Inventory (D-AI) was developed to assess the rehabilitation needs of visually impaired persons. This pilot study tests the feasibility of the D-AI using a computer-assisted telephone interview.

Methods

In addition to the regular intake, the first version of the D-AI was assessed in 20 patients. Subsequently, patients and intake assessors were asked to fill in an evaluation form. Based on these evaluations, a new version of the D-AI was developed.

Results

Mean administration time of the D-AI was 88.8 (± 41.0) minutes. Overall, patients and assessors were positive about the D-AI assessment. However, professionals and 60% of the patients found the administration time to be too long. All included items were considered relevant and only minor adjustments were recommended.

Conclusion

The systematic character of the revised D-AI will prevent topics from being overlooked and indicate which needs have the highest priority from a patient-centred perspective. Moreover, ongoing assessment of the D-AI will enhance evaluation of the rehabilitation process. To decrease administration time, in the revised D-AI only the top priority goals will be fully assessed. Using the D-AI, a rehabilitation plan based on individual needs can be developed for each patient. Moreover, it enables better evaluation of the effects of rehabilitation. A larger validation study is planned.
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Literature
1.
Congdon N, O'Colmain B, Klaver CC, Klein R, Munoz B, Friedman DS, Kempen J, Taylor RH, Mitchell P: Causes and prevalence of visual impairment among adults in the United States. Arch Ophthalmol. 2004, 122: 477-485. 10.1001/archopht.122.4.477.CrossRefPubMed
2.
Limburg H: Epidemiologie van visuele beperkingen en een demografische verkenning. 2007, [Epidemiology of visual disabilities and a demographic investigation]; Report commissioned by the Netherlands organization for health research and development (ZonMw) and the InSight Society
3.
de Boer MR, Langelaan M, Jansonius NM, Van Rens GHMB: Evidence-based guidelines on the referral of visually impaired persons to low vision services. Eur J Ophthalmol. 2005, 15: 400-406.PubMed
4.
Leach E, Cornwell P, Fleming J, Haines T: Patient centered goal-setting in a subacute rehabilitation setting. Disabil Rehabil. 2009, 1-14. 10.1080/09638280903036605.
5.
6.
Siegert RJ, McPherson KM, Taylor WJ: Toward a cognitive-affective model of goal-setting in rehabilitation: is self-regulation theory a key step?. Disabil Rehabil. 2004, 26: 1175-1183. 10.1080/09638280410001724834.CrossRefPubMed
7.
Boerner K, Cimarolli VR: Optimizing rehabilitation for adults with visual impairment: attention to life goals and their links to well-being. Clin Rehabil. 2005, 19: 790-798. 10.1191/0269215505cr893oa.CrossRefPubMed
8.
Wolffsohn JS, Cochrane AL: Design of the low vision quality-of-life questionnaire (LVQOL) and measuring the outcome of low-vision rehabilitation. Am J Ophthalmol. 2000, 130: 793-802. 10.1016/S0002-9394(00)00610-3.CrossRefPubMed
9.
Mangione CM, Lee PP, Pitts J, Gutierrez P, Berry S, Hays RD: Psychometric properties of the National Eye Institute Visual Function Questionnaire (NEI-VFQ). NEI-VFQ Field Test Investigators. Arch Ophthalmol. 1998, 116: 1496-1504.CrossRefPubMed
10.
Stelmack J: Quality of life of low-vision patients and outcomes of low-vision rehabilitation. Optom Vis Sci. 2001, 78: 335-342. 10.1097/00006324-200105000-00017.CrossRefPubMed
11.
Stelmack JA, Stelmack TR, Massof RW: Measuring low-vision rehabilitation outcomes with the NEI VFQ-25. Invest Ophthalmol Vis Sci. 2002, 43: 2859-2868.PubMed
12.
Rees G, Saw CL, Lamoureux EL, Keeffe JE: Self-management programs for adults with low vision: needs and challenges. Patient Educ Couns. 2007, 69: 39-46. 10.1016/j.pec.2007.06.016.CrossRefPubMed
13.
Stelmack JA, Massof RW: Using the VA LV VFQ-48 and LV VFQ-20 in low vision rehabilitation. Optom Vis Sci. 2007, 84: 705-709. 10.1097/OPX.0b013e3181339f1a.CrossRefPubMed
14.
O'Connor PM, Lamoureux EL, Keeffe JE: Predicting the need for low vision rehabilitation services. Br J Ophthalmol. 2008, 92: 252-255. 10.1136/bjo.2007.125955.CrossRefPubMed
15.
Lamoureux EL, Pallant JF, Pesudovs K, Tennant A, Rees G, O'Connor PM, Keeffe JE: Assessing participation in daily living and the effectiveness of rehabiliation in age related macular degeneration patients using the impact of vision impairment scale. Ophthalmic Epidemiol. 2008, 15: 105-113. 10.1080/09286580701840354.CrossRefPubMed
16.
Lorenzana L, Lankaranian D, Dugar J, Mayer J, Palejwala N, Kulkarni K, Warrian K, Boghara Z, Richman J, Wizov S, Spaeth G, Almodin J: A new method of assessing ability to perform activities of daily living: design, methods and baseline data. Ophthalmic Epidemiol. 2009, 16: 107-114. 10.1080/09286580902738142.CrossRefPubMed
17.
Gothwal VK, Wright TA, Lamoureux EL, Pesudovs K: Visual Activities Questionnaire: assessment of subscale validity for cataract surgery outcomes. J Cataract Refract Surg. 2009, 35: 1961-1969. 10.1016/j.jcrs.2009.05.058.CrossRefPubMed
18.
Marella M, Gothwal VK, Pesudovs K, Lamoureux E: Validation of the visual disability questionnaire (VDQ) in India. Optom Vis Sci. 2009, 86: E826-E835. 10.1097/OPX.0b013e3181ae1b3f.CrossRefPubMed
19.
van Nispen RMA, Knol DL, Langelaan M, de Boer MR, Terwee CB, van Rens GHMB: Applying multilevel item response theory to vision-related quality of life in Dutch visually impaired elderly. Optom Vis Sci. 2007, 84: 710-720. 10.1097/OPX.0b013e31813375b8.CrossRefPubMed
20.
van Nispen R, Knol D, Neve H, van Rens G: A multilevel item response theory model was investigated for longitudinal vision-related quality-of-life data. J Clin Epidemiol. 2010, 63: 321-330. 10.1016/j.jclinepi.2009.06.012.CrossRefPubMed
21.
Langelaan M, de Boer M, van Nispen R, Wouters B, Moll A, van Rens G: Change in quality of life after rehabilitation: prognostic factors for visually impaired adults. Int J Rehabil Res. 2009, 32: 12-19. 10.1097/MRR.0b013e3283063503.CrossRefPubMed
22.
de Boer MR, Moll AC, de Vet HCW, Terwee CB, Volker-Dieben HJM, van Rens GHMB: Psychometric properties of vision-related quality of life questionnaires: a systematic review. Ophthalmic Physiol Opt. 2004, 24: 257-273. 10.1111/j.1475-1313.2004.00187.x.CrossRefPubMed
23.
Massof RW, Hsu CT, Baker FH, Barnett GD, Park WL, Deremeik JT, Rainey C, Epstein C: Visual disability variables. I: the importance and difficulty of activity goals for a sample of low-vision patients. Arch Phys Med Rehabil. 2005, 86: 946-953. 10.1016/j.apmr.2004.09.016.CrossRefPubMed
24.
Massof RW, Hsu CT, Baker FH, Barnett GD, Park WL, Deremeik JT, Rainey C, Epstein C: Visual disability variables. II: The difficulty of tasks for a sample of low-vision patients. Arch Phys Med Rehabil. 2005, 86: 954-967. 10.1016/j.apmr.2004.09.017.CrossRefPubMed
25.
Watson PD, Denny SJ, Adair V, Ameratunga SN, Clark TC, Crengle SM, Dixon RS, Fa'asisila M, Merry SN, Robinson EM, Sporte AA: Adolescents' perceptions of a health survey using multimedia computer-assisted self-administered interview. Aust N Z J Public Health. 2001, 25: 520-524. 10.1111/j.1467-842X.2001.tb00316.x.CrossRefPubMed
26.
Stuck AE, Elkuch P, Dapp U, Anders J, Iliffe S, Swift CG: Feasibility and yield of a self-administered questionnaire for health risk appraisal in older people in three European countries. Age Ageing. 2002, 31: 463-467. 10.1093/ageing/31.6.463.CrossRefPubMed
27.
Page D, Weaver F, Wilkie D, Simuni T: A computerized survey of pain in Parkinson's disease patients: A pilot feasibility study. Parkinsonism Relat Disord. 2010, 16: 139-141. 10.1016/j.parkreldis.2009.07.001.CrossRefPubMed
28.
White MJ, Stark JR, Luckmann R, Rosal MC, Clemow L, Costanza ME: Implementing a computer-assisted telephone interview (CATI) system to increase colorectal cancer screening: a process evaluation. Patient Educ Couns. 2006, 61: 419-428. 10.1016/j.pec.2005.05.008.CrossRefPubMed
29.
Rogausch A, Sigle J, Seibert A, Thuring S, Kochen MM, Himmel W: Feasibility and acceptance of electronic quality of life assessment in general practice: an implementation study. Health Qual Life Outcomes. 2009, 7: 51-10.1186/1477-7525-7-51.CrossRefPubMedPubMedCentral
30.
Chinman M, Hassell J, Magnabosco J, Nowlin-Finch N, Marusak S, Young AS: The feasibility of computerized patient self-assessment at mental health clinics. Adm Policy Ment Health. 2007, 34: 401-409. 10.1007/s10488-007-0120-4.CrossRefPubMed
31.
World Health Organisation: International classification of functioning, disability and health. 2001, Geneve
32.
Bruijning JE, van Nispen RMA, van Rens GHMB: A Dutch ICF version of the Activity Inventory: results from focus groups with visually impaired persons and experts. Ophthalmic Epidemiol. 2010, 17: 366-377. 10.3109/09286586.2010.528133.CrossRefPubMed
33.
Hahn EA, Cella D, Bode RK, Gershon R, Lai JS: Item banks and their potential applications to health status assessment in diverse populations. Med Care. 2006, 44: S189-S197. 10.1097/01.mlr.0000245145.21869.5b.CrossRefPubMed
34.
Cieza A, Geyh S, Chatterji S, Kostanjsek N, Ustun B, Stucki G: ICF linking rules: an update based on lessons learned. J Rehabil Med. 2005, 37: 212-218. 10.1080/16501970510040263.CrossRefPubMed
Metadata
Title
Feasibility of the Dutch ICF Activity Inventory: a pilot study
Authors
Janna E Bruijning
Ruth MA van Nispen
Ger HMB van Rens
Publication date
01-12-2010
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2010
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/1472-6963-10-318

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