299
Views
1
CrossRef citations to date
0
Altmetric
Research Articles

What mobility factors are critical to include in a comprehensive mobility discharge assessment framework for older adults transitioning from hospital-to-home in the community? An international e-Delphi study

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 2808-2820 | Received 22 Jul 2022, Accepted 27 Jun 2023, Published online: 06 Jul 2023

References

  • Freiberger E, Sieber CC, Kob R. Mobility in older Community-Dwelling persons: a narrative review. Front Physiol. 2020;11:1–10. doi: 10.3389/fphys.2020.00881.
  • Webber SC, Porter MM, Menec VH. Mobility in older adults: a comprehensive framework. Gerontologist. 2010;50(4):443–450. doi: 10.1093/geront/gnq013.
  • Kalu M, Dal Bello-Haas V, Griffin M, et al. A comprehensive mobility discharge assessment framework for older adults transitioning from hospital-to-home in the community – what mobility factors are critical to include? Protocol for an international e-Delphi study. PLoS One. 2022;17(9):e0267470. doi: 10.1371/journal.pone.0267470.
  • Zisberg A, Shadmi E, Sinoff G, et al. Low mobility during hospitalization and functional decline in older adults. J Am Geriatr Soc. 2011;59(2):266–273. doi: 10.1111/j.1532-5415.2010.03276.x.
  • Hoogerduijn JG, Buurman BM, Korevaar JC, et al. The prediction of functional decline in older hospitalised patients. Age Ageing. 2012;41(3):381–387. doi: 10.1093/ageing/afs015.
  • Boyd CM, Ricks M, Fried LP, et al. Functional decline and recovery of activities of daily living in hospitalized, disabled older women: the women’s health and aging study. J Am Geriatr Soc. 2009;57(10):1757–1766. doi: 10.1111/j.1532-5415.2009.02455.x.
  • Covinsky KE, Palmer RM, Fortinsky RH, et al. Loss of independence in activities of daily living in older adults hospitalized with medical illnesses: increased vulnerability with age. J Am Geriatr Soc. 2003;51(4):451–458. doi: 10.1046/j.1532-5415.2003.51152.x.
  • Rais S, Nazerian A, Ardal S, et al. High-cost users of ontario’s healthcare services. Healthc Policy. 2013;9(1):44–51. doi: 10.12927/hcpol.2013.23478.
  • Vernon D, Brown JE, Griffiths E, et al. Reducing readmission rates through a discharge follow-up service. Future Healthc J. 2019;6(2):114–117. doi: 10.7861/futurehosp.6-2-114.
  • Considine J, Fox K, Plunkett D, et al. Factors associated with unplanned readmissions in a major Australian health service. Aust Health Rev. 2019;43(1):1–9. doi: 10.1071/AH16287.
  • Weiss AJ, Jiang HJ. Overview of Clinical Conditions With Frequent and Costly Hospital Readmissions by Payer, 2018 #278 [Internet]. Healthcare Cost and Utilization Project (HCUP). 2021. https://www.hcup-us.ahrq.gov/reports/statbriefs/sb278-Conditions-Frequent-Readmissions-By-Payer-2018.jsp
  • Wald HL, Ramaswamy R, Perskin MH, et al. The case for mobility assessment in hospitalized older adults: american geriatrics society white paper executive summary. J Am Geriatr Soc. 2019;67(1):11–16. doi: 10.1111/jgs.15595.
  • Brown CJ, Roth DL, Allman RM, et al. Trajectories of life-space mobility after hospitalization. Ann Intern Med. 2009;150(6):372–378. doi: 10.7326/0003-4819-150-6-200903170-00005.
  • Rennke S, Nguyen OK, Shoeb MH, et al. Hospital-initiated transitional care interventions as a patient safety strategy: a systematic review. Ann Intern Med. 2013;158(5 Pt 2):433–440. doi: 10.7326/0003-4819-158-5-201303051-00011.
  • Shih SL, Gerrard P, Goldstein R, et al. Functional status outperforms comorbidities in predicting acute care readmissions in medically complex patients. J Gen Intern Med. 2015;30(11):1688–1695. doi: 10.1007/s11606-015-3350-2.
  • Hoyer EH, Needham DM, Atanelov L, et al. Association of impaired functional status at hospital discharge and subsequent rehospitalization. J Hosp Med. 2014;9(5):277–282. doi: 10.1002/jhm.2152.
  • Falvey JR, Burke RE, Ridgeway KJ, et al. Involvement of acute care physical therapists in care transitions for older adults following acute hospitalization: a cross-sectional national survey. J Geriatr Phys Ther. 2019;42(3):E73–E80. doi: 10.1519/JPT.0000000000000187.
  • Brown CJ, Friedkin RJ, Inouye SK. Prevalence and outcomes of low mobility in hospitalized older patients. J Am Geriatr Soc. 2004;52(8):1263–1270. doi: 10.1111/j.1532-5415.2004.52354.x.
  • Polnaszek B, Mirr J, Roiland R, et al. Omission of physical therapy recommendations for high-risk patients transitioning from the hospital to subacute care facilities. Arch Phys Med Rehabil. 2015;96(11):1966–1972.e3. doi: 10.1016/j.apmr.2015.07.013.
  • Kalu ME, Maximos M, Sengiad S, et al. The role of rehabilitation professionals in care transitions for older adults: a scoping review. Phys Occup Ther Geriatr. 2019;37(3):123–150. doi: 10.1080/02703181.2019.1621418.
  • Lawton MP, Nahemow L. Ecology and the aging process. In: C Eisdorfer, MP Lawton, editors. The psychology of adult development and aging. Washington, DC: APA; 2004. p. 619–674.
  • Patla AE, Shumway-Cook A. Dimensions of mobility: defining the complexity and difficulty associated with community mobility. J Aging Phys Act. 1999;7(1):7–19. doi: 10.1123/japa.7.1.7.
  • Kalu ME, Bello-Haas VD, Griffin M, et al. Cognitive, psychological and social factors associated with older adults’ mobility: a scoping review of self-report and performance-based measures. Psychogeriatrics. 2022;22(4):553–573. doi: 10.1111/psyg.12848.
  • Kalu ME, Bello-Haas VD, Griffin M, et al. Physical mobility determinants among older adults: a scoping review of self-reported and performance-based measures. Eur J Physiother. 2022;9:1–18. doi: 10.1080/21679169.2022.2153303.
  • Kalu ME, Bello-Haas VD, Griffin M, et al. A scoping review of personal, financial, and environmental determinants of mobility among older adults. 2023;27:s0003–9993​(23)00247-2.
  • Nicolson PJA, Sanchez-Santos MT, Bruce J, et al. Risk factors for mobility decline in Community-Dwelling older adults: a systematic literature review. J Aging Phys Act. 2021;29(6):1053–1066. doi: 10.1123/japa.2020-0482.
  • Kalu ME, Rayner D, De Silva T, et al. Exploring the use of the conical model of theoretical framework for mobility in older adults in research and practice: a scoping review. Under Review. 2023.
  • Koppel S, Charlton JL, Langford J, et al. Driving task: how older drivers’ on-Road driving performance relates to abilities, perceptions, and restrictions. Can J Aging. 2016;35(Suppl 1):15–31. doi: 10.1017/S0714980816000015.
  • Franke T, Sims-Gould J, Chaudhury H, et al. ‘It makes your life worthwhile. It gives you a purpose in living’: mobility experiences among active older adults with low income. Ageing Soc. 2019;39(8):1639–1666. doi: 10.1017/S0144686X18000181.
  • Tong CE, McKay HA, Martin-Matthews A, et al. These few blocks, these are My village": the physical activity and mobility of Foreign-Born older adults. Gerontologist. 2020;60(4):638–650.
  • Patterson L, Mullen N, Stinchcombe A, et al. Measuring the impact of driving status: the Centre for research on safe Driving-Impact of driving status on quality of life (CRSD-IDSQoL) tool. Can J Occup Ther. 2019;86(1):30–39. doi: 10.1177/0008417418824980.
  • Hirsch JA, Winters M, Sims-Gould J, et al. Developing a comprehensive measure of mobility: mobility over varied environments scale (MOVES). BMC Public Health. 2017;17(1):513. doi: 10.1186/s12889-017-4450-1.
  • Franke T, Sims-Gould J, Chaudhury H, et al. Re-framing mobility in older adults: an adapted comprehensive conceptual framework. Qual Res Sport Exerc Heal. 2020;12(3):336–349. doi: 10.1080/2159676X.2019.1575269.
  • Gonçalves-Bradley DC, Lannin NA, Clemson L, et al. Discharge planning from hospital. Cochrane Database Syst Rev. 2022; Feb 242(2):CD000313.
  • Polverejan E, Gardiner JC, Bradley CJ, et al. Estimating mean hospital cost as a function of length of stay and patient characteristics. Health Econ. 2003; Nov12(11):935–947. doi: 10.1002/hec.774.
  • Oppenheimer JH, DeCastro I, McDonnell DE. Minimally invasive spine technology and minimally invasive spine surgery: a historical review. Neurosurg Focus. 2009;27(3):E9. doi: 10.3171/2009.7.FOCUS09121.
  • Jünger S, Payne SA, Brine J, et al. Guidance on conducting and REporting DElphi studies (CREDES) in palliative care: recommendations based on a methodological systematic review. Palliat Med. 2017;31(8):684–706. doi: 10.1177/0269216317690685.
  • Young B, Bagley H. Including patients in core outcome set development: issues to consider based on three workshops with around 100 international delegates. Res Involv Engagem. 2016;2:25. doi: 10.1186/s40900-016-0039-6.
  • Khodyakov D, Grant S, Denger B, et al. Practical considerations in using online modified-Delphi approaches to engage patients and other stakeholders in clinical practice guideline development. Patient. 2020;13(1):11–21. doi: 10.1007/s40271-019-00389-4.
  • Turnbull AE, Dinglas VD, Friedman LA, et al. A survey of delphi panelists after core outcome set development revealed positive feedback and methods to facilitate panel member participation. J Clin Epidemiol. 2018;102:99–106. doi: 10.1016/j.jclinepi.2018.06.007.
  • Barua B, Moir M. Comparing Performance of Universal Health Care Countries, 2020. Fraser Institute. https://www.fraserinstitute.org/sites/default/files/comparing-performance-of-universal-health-care-countries-2020.pdf
  • Keeney S, Hasson F, Mckenna H. The delphi technique in nursing and health research. In: The delphi technique in nursing and health research. London: John Wiley & Sons Ltd; 2011.
  • Clibbens N, Walters S, Baird W. Delphi research: issues raised by a pilot study. Nurse Res. 2012;19(2):37–44. doi: 10.7748/nr2012.01.19.2.37.c8907.
  • Hasson F, Keeney S, McKenna H. Research guidelines for the delphi survey technique. J Adv Nurs. 2000;32(4):1008–1015.
  • Guyatt G, Oxman A, Kunz R, et al. What is “quality of evidence” and why is it important to clinicians? BMJ. 2008;336(7651):995–998. doi: 10.1136/bmj.39490.551019.BE.
  • Turnbull AE, Sepulveda KA, Dinglas VD, et al. Core domains for clinical research in acute respiratory failure survivors: an international modified delphi consensus study. Crit Care Med. 2017;45(6):1001–1010. doi: 10.1097/CCM.0000000000002435.
  • Hall DA, Smith H, Heffernan E, et al. Recruiting and retaining participants in e-Delphi surveys for core outcome set development: evaluating the COMiT’ID study. PLoS One. 2018;13(7):e0201378. doi: 10.1371/journal.pone.0201378.
  • Chiarotto A, Deyo RA, Terwee CB, et al. Core outcome domains for clinical trials in non-specific low back pain. Eur Spine J. 2015;24(6):1127–1142. doi: 10.1007/s00586-015-3892-3.
  • Intiative C. COMET DelphiManager [Internet]. 2017. http://www.comet-initiative.org/delphimanager/
  • Boel A, Navarro-Compán V, Landewé R, et al. Two different invitation approaches for consecutive rounds of a delphi survey led to comparable final outcome. J Clin Epidemiol. 2021;129:31–39. doi: 10.1016/j.jclinepi.2020.09.034.
  • Thorlacius L, Ingram JR, Villumsen B, et al. A core domain set for hidradenitis suppurativa trial outcomes: an international delphi process. Br J Dermatol. 2018;179(3):642–650. doi: 10.1111/bjd.16672.
  • Corp S. Stata statistical software: release 15. TX; USA: StataCorp LLC.; 2017.
  • Giles GM, Edwards DF, Morrison MT, et al. Screening for functional cognition in postacute care and the improving medicare Post-Acute care transformation (IMPACT) act of 2014. Am J Occup Ther. 2017;71(5):p1–7105090010.
  • Meyer MRU, Janke MC, Beaujean AA. Predictors of older adults personal and community mobility: using a comprehensive theoretical mobility framework. Gerontologist. 2014;54(3):398–408. doi: 10.1093/geront/gnt054.
  • Voorhoeve A, Ottersen T, Norheim OF. Making fair choices on the path to universal health coverage: a précis. Health Econ Policy Law. 2016;11(1):71–77. doi: 10.1017/S1744133114000541.
  • Coronini-Cronberg S, Millett C, Laverty AA, et al. The impact of a free older persons’ bus pass on active travel and regular walking in England. Am J Public Health. 2012;102(11):2141–2148. doi: 10.2105/AJPH.2012.300946.
  • Fritz S, Lusardi M. White paper: “walking speed: the sixth vital sign. J Geriatr Phys Ther. 2009;32(2):2–5. doi: 10.1519/00139143-200932020-00002.
  • Hertzberg D, Luksha Y, Kus I, et al. Gait speed at discharge and risk for readmission or death: a prospective study of an emergency ward population. Open Access Emerg Med. 2020;12:127–135. doi: 10.2147/OAEM.S229479.
  • Peel NM, Navanathan S, Hubbard RE. Gait speed as a predictor of outcomes in post-acute transitional care for older people. Geriatr Gerontol Int. 2014;14(4):906–910. doi: 10.1111/ggi.12191.
  • Gershon RC, Cella D, Fox NA, et al. Assessment of neurological and behavioural function: the NIH toolbox. Lancet Neurol. 2010;9(2):138–139. doi: 10.1016/S1474-4422(09)70335-7.
  • Montero-Odasso M, Almeida QJ, Bherer L, et al. Consensus on shared measures of mobility and cognition: from the Canadian consortium on neurodegeneration in aging (CCNA). J Gerontol A Biol Sci Med Sci. 2019;74(6):897–909. doi: 10.1093/gerona/gly148.
  • Kosecoff J, Kahn KL, Rogers WH, et al. Prospective payment system and impairment at discharge: the ‘quicker-and-Sicker’ story revisited. JAMA J Am Med Assoc. 1990;264(15):1980–1983. doi: 10.1001/jama.1990.03450150080035.
  • Lilleheie I, Debesay J, Bye A, et al. Experiences of elderly patients regarding participation in their hospital discharge: a qualitative metasummary. BMJ Open. 2019;9(11):e025789. doi: 10.1136/bmjopen-2018-025789.
  • Kuspinar A, Verschoor CP, Beauchamp MK, et al. Modifiable factors related to life-space mobility in community-dwelling older adults: results from the Canadian longitudinal study on aging. BMC Geriatr. 2020;20(1):1–10. doi: 10.1186/s12877-020-1431-5.
  • Preyde M, Brassard K. Evidence-based risk factors for adverse health outcomes in older patients after discharge home and assessment tools: a systematic review. J Evid Based Soc Work. 2011;8(5):445–468. doi: 10.1080/15433714.​2011.​542330.
  • Lim SC, Doshi V, Castasus B, et al. Factors causing delay in discharge of elderly patients in an acute care hospital. Ann Acad Med Singap. 2006;35(1):27–32. doi: 10.47102/annals-acadmedsg.V35N1p27.
  • Moore G, Hartley P, Romero-Ortuno R. Health and social factors associated with a delayed discharge amongst inpatients in acute geriatric wards: a retrospective observational study. Geriatr Gerontol Int. 2018;18(4):530–537. doi: 10.1111/ggi.13212.
  • Rodríguez-Artalejo F, Guallar-Castillón P, Herrera MC, et al. Social network as a predictor of hospital readmission and mortality among older patients with heart failure. J Card Fail. 2006;12(8):621–627. doi: 10.1016/j.cardfail.2006.06.471.
  • Ullrich P, Eckert T, Bongartz M, et al. Life-space mobility in older persons with cognitive impairment after discharge from geriatric rehabilitation. Arch Gerontol Geriatr. 2019;81:192–200. doi: 10.1016/j.archger.2018.12.007.
  • Greysen SR, Changolkar S, Small DS, et al. Effect of behaviorally designed gamification with a social support partner to increase mobility after hospital discharge: a randomized clinical trial. JAMA Netw Open. 2021;4(3):e210952. doi: 10.1001/jamanetworkopen.2021.0952.
  • Dajani JS, Sincoff MZ, Talley WK. Stability and agreement criteria for the termination of delphi studies. Technol Forecast Soc Change. 1979;13(1):83–90. doi: 10.1016/0040-1625(79)90007-6.
  • Giannouli E, Fillekes MP, Mellone S, et al. Predictors of real-life mobility in community-dwelling older adults: an exploration based on a comprehensive framework for analyzing mobility. Eur Rev Aging Phys Act. 2019;16(1):19. doi: 10.1186/s11556-019-0225-2.
  • Rotenberg S, Sternberg S, Maeir A. Where did I put my glasses? The lived experience of older adults seeking medical help for perceived memory problems. Disabil Rehabil. 2020;42(25):3606–3613. doi: 10.1080/09638288.2019.1602849.
  • Prilutsky BI. Muscle coordination: the discussion continues. Motor Control. 2000;4(1):97–116. doi: 10.1123/mcj.4.1.97.
  • Khodyakov D, Chen C. Response changes in delphi processes: why is it important to provide high-quality feedback to delphi participants? J Clin Epidemiol. 2020;125:160–161. doi: 10.1016/j.jclinepi.2020.04.029.
  • Kalu ME. Developing a comprehensive mobility discharge assessment framework through evidence synthesis and an e-Delphi process A PhD thesis. 2022. http://hdl.handle.net/11375/28289
  • Prinsen CA, Vohra S, Rose MR, et al. How to select outcome measurement instruments for outcomes included in a "core outcome set" - a practical guideline. Trials. 2016;17(1):449. doi: 10.1186/s13063-016-1555-2.
  • De Wit M, Abma T, Loon MV, et al. Involving patient research partners has a significant impact on outcomes research: a responsive evaluation of the international OMERACT conferences. BMJ Open. 2013;3(5):e002241. doi: 10.1136/bmjopen-2012-002241.
  • Sinha IP, Smyth RL, Williamson PR. Using the delphi technique to determine which outcomes to measure in clinical trials: recommendations for the future based on a systematic review of existing studies. PLoS Med. 2011;8(1):e1000393. doi: 10.1371/journal.pmed.1000393.
  • Gargon E, Crew R, Burnside G, et al. Higher number of items associated with significantly lower response rates in COS delphi surveys. J Clin Epidemiol. 2019;108:110–120. doi: 10.1016/j.jclinepi.2018.12.010.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.