Skip to main content
Log in

Numerical Activities of Daily Living – Financial: a short version

  • Original Article
  • Published:
Neurological Sciences Aims and scope Submit manuscript

Abstract

Financial capacity is the ability to manage money and finances according to a person’s values and self-interests. In Italy, the first instrument specifically designed to assess financial capacity has recently been developed: the Numerical Activities of Daily Living – Financial (NADL-F). The aims of this study are (1) to prepare a shorter version of NADL-F and (2) to examine the relationship between the new short version and a measure of general cognitive functioning of comparable length, the MMSE. After an item analysis performed on NADL-F, the items presenting a higher internal consistency were selected. The resulting NADL-F Short is a reliable, easy to use, and quick to administer tool for assessing financial capacity both in clinical and legal practice. Correlation analysis showed a low positive correlation between four NADL-F Short tasks and the MMSE, for the healthy participants group. For the patient group, instead, a low-moderate correlation was found for all the NADL-F Short tasks, except one. Many participants scoring high in the MMSE (both healthy controls and neurological patients) showed low NADL-F Short scores. These findings suggest that it is not correct to use generic tools like the MMSE to make inferences on a person’s financial capacity.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Widera E, Steenpass V, Marson D, Sudore R (2011) Finances in the older patient with cognitive impairment: “he didn’t want me to take over”. JAMA 305:698–706. https://doi.org/10.1001/jama.2011.164

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Demakis G (2012) Civil capacities in clinical neuropsychology. Oxford University press, New York

    Google Scholar 

  3. Griffith HR, Belue K, Sicola A, Krzywanski S, Zamrini E, Harrell L, Marson DC (2003) Impaired financial abilities in mild cognitive impairment: a direct assessment approach. Neurology 60:449–457. https://doi.org/10.1212/wnl.60.3.449

    Article  CAS  PubMed  Google Scholar 

  4. Marson DC, Sawrie SM, Snyder S, McInturff B, Stalvey T, Boothe A, Aldridge T, Chatterjee A, Harrell LE (2000) Assessing financial capacity in patients with Alzheimer disease: a conceptual model and prototype instrument. Arch Neurol 57:877–884. https://doi.org/10.1001/archneur.57.6.877

    Article  CAS  PubMed  Google Scholar 

  5. Kershaw MM, Webber LS (2008) Assessment of financial competence. Psychiatry Psychol Law 15:40–55. https://doi.org/10.1080/13218710701873965

    Article  Google Scholar 

  6. Sousa LB, Simões MR, Firmino H, Peisah C (2014) Financial and testamentary capacity evaluations: procedures and assessment instruments underneath a functional approach. Int Psychogeriatr 26:217–228. https://doi.org/10.1017/S1041610213001828

    Article  PubMed  Google Scholar 

  7. Sousa LB, Vilar M, Firmino H, Simões MR (2015) Financial capacity assessment instrument (IACFin): development and qualitative study using focus groups. Psychiatry Psychol Law 22:571–585. https://doi.org/10.1080/13218719.2014.960038

    Article  Google Scholar 

  8. Burgio F, Delazer M, Meneghello F, Pertl MT, Semenza C, Zamarian L (2018) Cognitive training improves ratio processing and decision making in patients with mild cognitive impairment. J Alzheimers Dis 64:1–14. https://doi.org/10.3233/JAD-180461

    Article  Google Scholar 

  9. Pertl MT, Benke T, Zamarian L, Delazer M (2017) Effects of healthy aging and mild cognitive impairment on a real-life decision-making task. J Alzheimers Dis 58:1077–1087. https://doi.org/10.3233/JAD-170119

    Article  PubMed  Google Scholar 

  10. Cronbach LJ (1970) Essentials of psychological testing. Harper & Row, New York

    Google Scholar 

  11. Chaytor N, Schmitter-Edgecombe M (2003) The ecological validity of neuropsychological tests: a review of the literature on everyday cognitive skills. Neuropsychol Rev 13:181–197. https://doi.org/10.1023/b:nerv.0000009483.91468.fb

    Article  PubMed  Google Scholar 

  12. Marson DC (2013) Clinical and ethical aspects of financial capacity in dementia: a commentary. Am J Geriatr Psychiatry 21:382–390. https://doi.org/10.1097/JGP.0b013e31826682f4

    Article  PubMed  Google Scholar 

  13. Arcara G, Burgio F, Benavides-Varela S, Toffano R, Gindri P, Tonini E, Meneghello F, Semenza C (2017) Numerical Activities of Daily Living – Financial (NADL-F): a tool for the assessment of financial capacities. Neuropsychol Rehabil 7:1–23. https://doi.org/10.1080/09602011.2017.1359188

    Article  Google Scholar 

  14. Darzins P, Molloy DM, Strang D (2004) Who can decide?: the six step capacity assessment process. Memory Australia Press, Adelaide

    Google Scholar 

  15. Gerstenecker A, Eakin A, Triebel K, Martin R, Swenson-Dravis D, Petersen RC, Marson D (2016) Age and education corrected older adult normative data for a short form version of the Financial Capacity Instrument. Psychol Assess 28(6):737–749. https://doi.org/10.1037/pas0000159

    Article  PubMed  Google Scholar 

  16. Kershaw MM, Webber LS (2004) Dimensions of financial competence. Psychiatry Psychol Law 11:338–349. https://doi.org/10.1375/pplt.2004.11.2.338

    Article  Google Scholar 

  17. Okonkwo OC, Wadley VG, Griffith HR, Ball K, Marson DC (2006) Cognitive correlates of financial abilities in mild cognitive impairment. J Am Geriatr Soc 54:1745–1750. https://doi.org/10.1111/j.1532-5415.2006.00916.x

    Article  PubMed  Google Scholar 

  18. Webber LS, Reeve RA, Kershaw MM, Charlton JL (2002) Assessing financial competence. Psychiatry Psychol Law 9:248–256. https://doi.org/10.1375/pplt.2002.9.2.248

    Article  Google Scholar 

  19. Folstein MF, Folstein SE, McHugh PR (1975) Mini mental state. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12:189–198. https://doi.org/10.1016/0022-3956(75)90026-6

    Article  CAS  PubMed  Google Scholar 

  20. Semenza C, Meneghello F, Arcara G, Burgio F, Gnoato F, Facchini S (2014) A new clinical tool for assessing numerical abilities in neurological diseases: numerical activities of daily living. Front Aging Neurosci 6:288. https://doi.org/10.3389/fnagi.2014.00112

    Article  Google Scholar 

  21. Gauthier S, Reisberg B, Zaudig M, Petersen RC, Ritchie K, Broich K, Belleville S, Brodaty H, Bennett D, Chertkow H, Cummings JL, de Leon M, Feldman H, Ganguli M, Hampel H, Scheltens P, Tierney MC, Whitehouse P, Winblad B (2006) Mild cognitive impairment. Lancet 367:1262–1270. https://doi.org/10.1016/S0140-6736(06)68542-5

    Article  PubMed  Google Scholar 

  22. Gelb DJ, Oliver E, Gilman S (1999) Diagnostic criteria for Parkinson disease. Arch Neurol 56:33–39. https://doi.org/10.1001/archneur.56.1.33

    Article  CAS  PubMed  Google Scholar 

  23. Lakens D, Scheel AM, Isager PM (2018) Equivalence testing for psychological research: a tutorial. AMPPS 1:259–269. https://doi.org/10.1177/2515245918770963

    Article  Google Scholar 

  24. Frank F, Hall MA, Witten IH (2016) The WEKA workbench. Online appendix for “data mining: practical machine learning tools and techniques”. Morgan Kaufmann, San Francisco

    Google Scholar 

  25. Holte RC (1993) Very simple classification rules perform well on most commonly used datasets. Mach Learn 11:63–91. https://doi.org/10.1023/A:1022631118932

    Article  Google Scholar 

  26. Hebert KR, Marson DC (2007) Assessment of financial capacity in older adults with dementia. In: Qualls SH, Smyer MA (eds) Changes in decision-making capacity in older adults: assessment and intervention. Wiley, Hoboken, pp 237–270

    Google Scholar 

  27. Moye J, Armesto JC, Karel MJ (2005) Evaluating capacity of older adults in rehabilitation settings: conceptual models and clinical challenges. Rehabil Psychol 50:207–214. https://doi.org/10.1037/0090-5550.50.3.207

    Article  Google Scholar 

  28. Douven E, Köhler S, Schievink SH, van Oostenbrugge RJ, Staals J, Verhey FRJ et al (2017) Temporal associations between fatigue, depression, and apathy after stroke: results of the cognition and affect after stroke, a prospective evaluation of risks study. Cerebrovasc Dis 44:330–337. https://doi.org/10.1159/000481577

    Article  PubMed  Google Scholar 

  29. Johnson SK, Lange G, DeLuca J, Korn LR, Natelson B (2010) The effects of fatigue on neuropsychological performance in patients with chronic fatigue syndrome, multiple sclerosis, and depression. Appl Neuropsychol 4:145–153. https://doi.org/10.1207/s15324826an0403_1

    Article  Google Scholar 

  30. Lou J, Kearns G, Oken B, Sexton G, Nutt J (2001) Exacerbated physical fatigue and mental fatigue in Parkinson’s disease. Mov Disord 16:190–196. https://doi.org/10.1002/mds.1042

    Article  CAS  PubMed  Google Scholar 

Download references

Funding

The writing of this paper was made possible by the support of “Progetto giovani ricercatori: FINAGE” (GR-2018-12367927) from the Ministry of Health to F.B.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Roberta Toffano, Francesca Burgio, Giorgio Arcara, Silvia Benavides-Varela, and Grazella Orrù. The first draft of the manuscript was written by Roberta Toffano and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Roberta Toffano.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Ethical approval

All participants gave their informed consent according to the Helsinki Declaration. The study was approved by the Ethics Committee for clinical experimentation of Venice and IRCCS San Camillo Hospital Foundation (Venice, Italy), reference number 2016.07.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

ESM 1

(PDF 538 kb)

ESM 2

(PDF 465 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Toffano, R., Burgio, F., Palmer, K. et al. Numerical Activities of Daily Living – Financial: a short version. Neurol Sci 42, 4183–4191 (2021). https://doi.org/10.1007/s10072-021-05047-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10072-021-05047-y

Keywords

Navigation