How are service users instructed to measure home furniture for provision of minor assistive devices?

References

• Agree EM. The influence of personal care and assistive devices on the measurement of disability. Soc Sci Med. 1999;48:427–443.
   PubMed Web of Science ®Google Scholar
• Wilson DJ, Mitchell JM, Kemp BJ, et al. Effects of assistive technology on functional decline in people aging with a disability. Assist Technol. 2009;21:208–217.
   PubMed Web of Science ®Google Scholar
• Verbrugge L, Rennert C, Madans J. The great efficacy of personal and equipment assistance in reducing disability. Am J Public Health. 1997;87:384–392.
   PubMed Web of Science ®Google Scholar
• Sanford JA, Griffiths PC, Richardson P, et al. The effects of in-home rehabilitation on task self-efficacy in mobility-impaired adults: a randomized clinical trial. J Am Geriatr Soc. 2006;54:1641–1648.
   PubMed Web of Science ®Google Scholar
• Damant J, Knapp M, Watters S, et al. The impact of ICT services on perceptions of the quality of life of older people. J Assist Technol. 2013;7:5–21.
   Google Scholar
• Siegel C. Contributions of ambient assisted living for health and quality of life in the elderly and care services – a qualitative analysis from the experts’ perspective of care service professionals. BMC Geriatrics. 2014;14:112.
   PubMed Web of Science ®Google Scholar
• Transparency Market Research Elderly and Disabled Assistive Devices Market 2015; [cited 2016 Apr 19]. Available from: http://transparencymarketresearch.com/elderly-disabled-assistive-devices.html.
   Google Scholar
• Dahlin-Ivanoff S, Sonn U. Use of assistive devices in daily activities among 85-year-olds living at home focusing especially on the visually impaired. Disabil Rehabil. 2004;26:1423–1430.
   PubMed Web of Science ®Google Scholar
• Gitlin LN, Winter L, Dennis MP, et al. A randomized trial of a multicomponent home intervention to reduce functional difficulties in older adults. J Am Geriatr Soc. 2006;54:809–816.
   PubMed Web of Science ®Google Scholar
• Mann WC, Ottenbacher KJ, Fraas L, et al. Effectiveness of assistive technology and environmental interventions in maintaining independence and reducing home care costs for the frail elderly. a randomized controlled trial. Arch Fam Med. 1999;8:210–217.
   PubMedGoogle Scholar
• Gosman-Hedström G, Claesson L, Blomstrand C, et al. Use and cost of assistive technology the first year after stroke. A randomized controlled trial. Int J Technol Assess Health Care. 2002;18:20–27.
   Web of Science ®Google Scholar
• Graybill EM, McMeekin P, Wildman J. Can aging in place be cost effective? A systematic review. PLoS One. 2014;9:e102705.
   Google Scholar
• Phillips B, Zhao H. Predictors of assistive technology abandonment. Assist Technol. 1993;5:36–45.
   PubMedGoogle Scholar
• Martin JK, Martin LG, Stumbo NJ, Morrill, et al. The impact of consumer involvement on satisfaction with and use of assistive technology. Disabil Rehabil Assist Technol. 2011;6:225–242.
   PubMedGoogle Scholar
• Fraser SA, Kenyon V, Lagacé M, et al. Stereotypes associated with age-related conditions and assistive devices in Canadian media. Gerontologist. 2015;pii:gnv094.
   Google Scholar
• Verza R, Lopes Carvalho ML, Battaglia MA, et al. An interdisciplinary approach to evaluating the need for assistive technology reduces equipment abandonment. Mult Scler. 2006;12:88–93.
   PubMed Web of Science ®Google Scholar
• Johnston P, Currie LM, Drynan D, et al. Getting it “right”: how collaborative relationships between people with disabilities and professionals can lead to the acquisition of needed assistive technology. Disabil Rehabil Assist Technol. 2014;9:421–431.
   PubMedGoogle Scholar
• Gramstad A, Storli SL, Hamran T. Exploring the meaning of a new assistive technology device for older individuals. Disabil Rehabil Assist Technol. 2014;9:493–498.
   PubMedGoogle Scholar
• Kintsch A, DePaula R. A framework for the adoption of assistive technology. Boulder: University of Colorado; 2002; [cited 2016 Apr 19]. Available from: https://pdfs.semanticscholar.org/87af/970a0aadf2804b056600b6787e4e99d6e864.pdf.
   Google Scholar
• American Occupational Therapy Association. Assistive technology within occupational therapy practice. Am J Occup Ther. 2004;58:678–680.
   PubMedGoogle Scholar
• Scherer M. Assistive technology: matching device and consumer successful rehabilitation. Washington (DC): American Psychological Association; 2001.
   Google Scholar
• Alexander NB, Galecki AT, Nyquist LV, et al. Chair and bed rise performance in ADL-impaired congregate housing residents. J Am Geriatr Soc. 2000;48:526–533.
   PubMed Web of Science ®Google Scholar
• Hughes MA, Weiner DK, Schenkman ML, et al. Chair rise strategies in the elderly. Clin Biomech. 1994;9:187–192.
   PubMed Web of Science ®Google Scholar
• Kirvesoja H, Väyrynen S, Häikiö A. Three evaluations of task-surface heights in elderly people’s homes. Appl Ergonom. 2000;31:109–119.
   PubMed Web of Science ®Google Scholar
• Chen SH, Lee YH, Chiou WK, et al. A pilot study examining seat heights and subjective ratings during rising and sitting. Int J Ind Ergonom. 2010;40:41–46.
   Web of Science ®Google Scholar
• Hoffmann T, Russell T. Pre-admission orthopaedic occupational therapy home visits conducted using the Internet. J Telemed Telecare. 2008;14:83–87.
   PubMed Web of Science ®Google Scholar
• Atwal A, Spiliotopoulou G, Stradden J, et al. Factors influencing occupational therapy home visit practice: a qualitative study. Scand J Occup Ther. 2012;21:40–47.
   Web of Science ®Google Scholar
• Isaacson M. Best practices by occupational and physical therapists performing seating and mobility evaluations. Assist Technol. 2011;23:13–21.
   Web of Science ®Google Scholar
• Williamson JD, Fried LP. Characterization of older adults who attribute functional decrements to “old age”. J Am Geriatr Soc. 1996;44:1429–1434.
   PubMed Web of Science ®Google Scholar
• Lazar J, Preece J. Designing and implementing web-based surveys. J Comp Inform Syst. 1999;39:63–67.
   Web of Science ®Google Scholar
• Andrews D, Nonnecke B, Preece J. Electronic survey methodology: a case study. Comp Inter. 2003;16:185–210.
   Google Scholar
• Atwal A, Money AG, Spiliotopoulou G, et al. Occupational therapists’ perceptions about the clinical utility of the 3D interior design software. Disabil Rehabil Assist Technol. 2013;4:348–355.
   Google Scholar
• Braithwaite D, Emery J, De Lusignan S, et al. Using the internet to conduct surveys of health professionals: a valid alternative? Fam Pract. 2003;20:545–551.
   PubMed Web of Science ®Google Scholar
• Dillman DA, Smyth JD, Christian LM. Internet, mail, and mixed mode surveys: the tailored design method. Hoboken (NJ): John Wiley and Sons; 2009.
   Google Scholar
• Monroe MC, Adams DC. Increasing response rates to web-based surveys. J Ext. 2012;50:6T0T7.
   Google Scholar
• McPeake J, Bateson M, O’Neill A. Electronic surveys: how to maximise success. Nurse Res. 2014;21:24–26.
   PubMedGoogle Scholar
• Coulter A. Partnerships with patients: the pros and cons of shared clinical decision-making. J Health Serv Res Policy 1997;2:112–121.
   PubMedGoogle Scholar
• Griffin J, McKenna K, Tooth L. Discrepancy between older clients’ ability to read and comprehend and the reading level of written educational materials used by occupational therapists. Am J Occup Ther. 2006;60:70–80.
   PubMed Web of Science ®Google Scholar
• Department of Health. The power of information: putting all of us in control of the health and care information we need. London 2012; [cited 2016 Apr 19]. Available from: https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/213689/dh_134205.pdf.
   Google Scholar
• McLaughlin GH. SMOG grading – a new readability formula. J Read. 1969;12:639–646.
   Web of Science ®Google Scholar
• Dubay WH. The principles of readability; 2004 [cited 2016 Apr 19]. Available from: http://www.impact-information.com/impactinfo/readability02.pdf.
   Google Scholar
• Levasseur M, Carrier A. Integrating health literacy into occupational therapy: findings from a scoping review. Scand J Occup Ther. 2012;19:305–314.
   PubMed Web of Science ®Google Scholar
• Elwyn G, O’Connor A, Stacey D, et al. International Patient Decision Aids Standards (IPDAS) Collaboration developing a quality criteria framework for patient decision aids: online international Delphi consensus process. Br Med J. 2003;333:417.
   Web of Science ®Google Scholar
• Tuttle NA. Comparison of methods used for measuring popliteal height. Ergonom Aust. 2004;18:14–18.
   Google Scholar
• Tzeng HM, Yin CY. Heights of occupied patient beds: a possible risk factor for inpatient falls. J Clin Nurs. 2008;7:1503–1509.
   Web of Science ®Google Scholar
• Capezuti E, Wagner L, Brush BL, et al. Bed and toilet height as potential environmental risk factors. Clin Nurs Res. 2008;17:50–66.
   PubMedGoogle Scholar
• Engström B. Ergonomic seating: a true challenge wheelchair seating and mobility principles. Sweden: Posturalis Books; 2002.
   Google Scholar
• Lange ML. Focus on positioning philosophies. Occup Ther Pract. 2001;6:15–16.
   Google Scholar
• Weiner DK, Long R, Hughes MA, et al. When older adults face the chair-rise challenge. A study of chair height availability and height-modified chair-rise performance in the elderly. J Am Geriatr Soc. 1993;41:6–10.
   PubMed Web of Science ®Google Scholar
• Ishihara K, Nagamachi M, Komatsu K, et al. Handrails for the elderly: a survey of the need for handrails and experiments to determine the optimal size of staircase handrails. Gerontechnology 2002;1:175–189.
   Google Scholar
• Ahluwalia SC, Gill TM, Baker DI, et al. Perspectives of older persons on bathing and bathing disability: a qualitative study. J Am Geriatr Soc. 2010;58:450–456.
   PubMed Web of Science ®Google Scholar