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Feasibility of Measuring Physical Function by Wearable Devices During Deprescribing of Anticholinergic and Sedative Medicatiossns

Published online by Cambridge University Press:  27 February 2025

Benoit Cossette*
Affiliation:
Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, QC, Canada Research Center on Aging, CIUSSS de l’Estrie-CHUS, Sherbrooke, QC, Canada
Patrick Boissy
Affiliation:
Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, QC, Canada Research Center on Aging, CIUSSS de l’Estrie-CHUS, Sherbrooke, QC, Canada
Marie-Hélène Milot
Affiliation:
Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, QC, Canada Research Center on Aging, CIUSSS de l’Estrie-CHUS, Sherbrooke, QC, Canada
Sarah N Hilmer
Affiliation:
Laboratory of Ageing and Pharmacology, Kolling Institute, Faculty of Medicine and Health, The University of Sydney and Northern Sydney Local Health District, Sydney, NSW, Australia
Lisa Kouladjian O’donnell
Affiliation:
Laboratory of Ageing and Pharmacology, Kolling Institute, Faculty of Medicine and Health, The University of Sydney and Northern Sydney Local Health District, Sydney, NSW, Australia
Danijela Gnjidic
Affiliation:
Faculty of Medicine and Health, School of Pharmacy, The University of Sydney, Sydney, NSW, Australia
Caroline Sirois
Affiliation:
Faculté de pharmacie, Université Laval, Québec, QC, Canada Centre d’excellence sur le vieillissement de Québec and VITAM, Centre de recherche en santé durable, Québec, QC, Canada Centre de recherche du CHU de Québec, Université Laval, Québec, QC, Canada
Dee Mangin
Affiliation:
Department of Family Medicine, McMaster University, Hamilton, ON, Canada Department of General Practice, University of Otago, Christchurch, New Zealand
Geneviève Ricard
Affiliation:
Faculty of Medicine and Health Sciences, University of Sherbrooke, Sherbrooke, QC, Canada
Jennifer E. Isenor
Affiliation:
College of Pharmacy, Faculty of Health, Dalhousie University, Halifax, Nova Scotia, Canada
Jacynthe Roy-Petit
Affiliation:
Pharmacy Department, CIUSSS de l’Estrie-CHUS, Sherbrooke, QC, Canada
Bessam Abdulrazak
Affiliation:
Faculty of Sciences, University of Sherbrooke, Sherbrooke, QC, Canada
Marilyn Tousignant
Affiliation:
Research Center on Aging, CIUSSS de l’Estrie-CHUS, Sherbrooke, QC, Canada
Karina Lebel
Affiliation:
Research Center on Aging, CIUSSS de l’Estrie-CHUS, Sherbrooke, QC, Canada Faculty of Engineering, University of Sherbrooke, Sherbrooke, QC, Canada
*
Corresponding author: La correspondance et les demandes de tirés-à-part doivent être adressées à : / Correspondence and requests for offprints should be sent to: Benoit Cossette, PhD, Research Center on Aging, CIUSSS de l’Estrie-CHUS, 1036, Belvedere South, Sherbrooke, Québec, Canada J1H 4C4 ([email protected]).

Abstract

Cumulative exposure to anticholinergic and sedative medications has been associated with worsening physical function in older adults. We evaluated the feasibility of measuring physical function using wearable devices and explored the impact of reducing the anticholinergic and sedative medication burden in a pilot study of community-dwelling adults aged 60 years and older. Evaluations included the 10-meter walk test (10MWT), the Short Physical Performance Battery (SPPB), and the mini-BESTest. Two participants/month were recruited in one clinic in 2022. The five participants had a median age of 67, a median DBI of 1.7, and four were female. The feasibility analysis showed that the 10MWT and SPPB tests were completed on 12/12, and the mini-BESTest on 11/12. An exploratory analysis showed clinically meaningful improvements in gait speed (mean +0.18 m/s) and SPPB (mean +2.2 points). We showed the feasibility of measuring physical function by wearable devices during deprescribing of anticholinergic and sedative medications.

Résumé

Résumé

L’usage cumulatif de médicaments anticholinergiques et sédatifs a été associé à une détérioration de la fonction physique chez les aînés. Nous avons évalué la faisabilité de mesurer la fonction physique à l’aide de capteurs portés et exploré l’impact de la déprescription des médicaments anticholinergiques et sédatifs dans une étude pilote auprès d’adultes âgés de 60 ans et plus vivant dans la communauté. Les évaluations incluaient le test de marche de 10 mètres (TM10M), le Short Physical Performance Battery (SPPB) et le mini-BESTest. Deux participants par mois ont été recrutés dans une clinique en 2022. Les cinq participants avaient un âge médian de 67 ans, un DBI médian de 1,7 et quatre étaient des femmes. L’analyse de faisabilité a montré que les tests TM10M et SPPB ont été réalisés pour 12/12 visites de laboratoire, le mini-BESTest pour 11/12. Une analyse exploratoire a montré des améliorations cliniquement significatives pour la vitesse de marche (+0,18 m/s en moyenne) et le SPPB (+2,2 points en moyenne). Nous avons montré la faisabilité de mesurer la fonction physique par des capteurs portés lors de la déprescription de médicaments anticholinergiques et sédatifs.

Type
Article
Copyright
© Canadian Association on Gerontology 2025

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References

Beauchamp, M. K., Ward, R. E., Jette, A. M., & Bean, J. F. (2019). Meaningful change estimates for the late-life function and disability instrument in older adults. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 74(4), 556559. https://doi.org/10.1093/gerona/gly230CrossRefGoogle ScholarPubMed
Bostock, C. V., Soiza, R. L., & Mangoni, A. A. (2013). Associations between different measures of anticholinergic drug exposure and Barthel Index in older hospitalized patients. Therapeutic Advances in Drug Safety, 4(6), 235245. https://doi.org/10.1177/2042098613500689CrossRefGoogle ScholarPubMed
Cao, Y.-J., Mager, D. E., Simonsick, E. M., Hilmer, S. N., Ling, S. M., Windham, B. G., Crentsil, V., Yasar, S., Fried, L. P., & Abernethy, D. R. (2008). Physical and cognitive performance and burden of anticholinergics, sedatives, and ACE inhibitors in older women. Clinical Pharmacology and Therapeutics, 83(3), 422429. https://doi.org/10.1038/sj.clpt.6100303CrossRefGoogle ScholarPubMed
Clarke, C. L., Sniehotta, F. F., Vadiveloo, T., Donnan, P. T., & Witham, M. D. (2018). Association between objectively measured physical activity and opioid, hypnotic, or anticholinergic medication use in older people : Data from the physical activity cohort Scotland study. Drugs & Aging, 35(9), 835842. https://doi.org/10.1007/s40266-018-0578-7CrossRefGoogle ScholarPubMed
Cossette, B., Taseen, R., Roy-Petit, J., Villemure, M.-P., Grondin, M., Ricard, G., Goyer, F., Blanchard, C., Joly-Mischlich, T., & Éthier, J.-F. (2019). A pharmacist-physician intervention model using a computerized alert system to reduce high-risk medication use in primary care. European Journal of Clinical Pharmacology, 75(7), 10171023. https://doi.org/10.1007/s00228-019-02660-xCrossRefGoogle ScholarPubMed
Dearing, M. E., Bowles, S., Isenor, J., Kits, O., Kouladjian O’Donnell, L., Neville, H., Hilmer, S., Toombs, K., Sirois, C., Hajizadeh, M., Negus, A., Rockwood, K., & Reeve, E. (2020). Pharmacist-led intervention to improve medication use in older inpatients using the Drug Burden Index : A study protocol for a before/after intervention with a retrospective control group and multiple case analysis. BMJ Open, 10(2), e035656. https://doi.org/10.1136/bmjopen-2019-035656CrossRefGoogle ScholarPubMed
World Health Organization. (2020). Decade of healthy ageing: Baseline report. Geneva: World Health Organization. Licence : CC BY-NC-SA 3.0 IGO. www.who.int/publications/i/item/9789240017900. Accessed on 17 Apr 2024.Google Scholar
Franchignoni, F., Horak, F., Godi, M., Nardone, A., & Giordano, A. (2010). Using psychometric techniques to improve the Balance Evaluation Systems Test : The mini-BESTest. Journal of Rehabilitation Medicine, 42(4), 323331. https://doi.org/10.2340/16501977-0537CrossRefGoogle ScholarPubMed
Gnjidic, D., Bell, J. S., Hilmer, S. N., Lonnroos, E., Sulkava, R., & Hartikainen, S. (2012). Drug Burden Index associated with function in community-dwelling older people in Finland: A cross-sectional study. Annals of Medicine, 44(5), 458467. https://doi.org/10.3109/07853890.2011.573499CrossRefGoogle ScholarPubMed
Gnjidic, D., Cumming, R. G., Le Couteur, D. G., Handelsman, D. J., Naganathan, V., Abernethy, D. R., & Hilmer, S. N. (2009). Drug Burden Index and physical function in older Australian men. British Journal of Clinical Pharmacology, 68(1), 97105. https://doi.org/10.1111/j.1365-2125.2009.03411.xCrossRefGoogle ScholarPubMed
Godi, M., Franchignoni, F., Caligari, M., Giordano, A., Turcato, A. M., & Nardone, A. (2013). Comparison of reliability, validity, and responsiveness of the mini-BESTest and Berg Balance Scale in patients with balance disorders. Physical Therapy, 93(2), 158167. https://doi.org/10.2522/ptj.20120171CrossRefGoogle Scholar
Guralnik, J. M., Simonsick, E. M., Ferrucci, L., Glynn, R. J., Berkman, L. F., Blazer, D. G., Scherr, P. A., & Wallace, R. B. (1994). A short physical performance battery assessing lower extremity function: Association with self-reported disability and prediction of mortality and nursing home admission. Journal of Gerontology, 49(2), M85–94. https://doi.org/10.1093/geronj/49.2.m85CrossRefGoogle Scholar
Haley, S. M., Jette, A. M., Coster, W. J., Kooyoomjian, J. T., Levenson, S., Heeren, T., & Ashba, J. (2002). Late life function and disability instrument : II. Development and evaluation of the function component. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 57(4), M217–222. https://doi.org/10.1093/gerona/57.4.m217CrossRefGoogle ScholarPubMed
Hilmer, S. N., Mager, D. E., Simonsick, E. M., Cao, Y., Ling, S. M., Windham, B. G., Harris, T. B., Hanlon, J. T., Rubin, S. M., Shorr, R. I., Bauer, D. C., & Abernethy, D. R. (2007). A drug burden index to define the functional burden of medications in older people. Archives of Internal Medicine, 167(8), 781787. https://doi.org/10.1001/archinte.167.8.781CrossRefGoogle ScholarPubMed
Hilmer, S. N., Mager, D. E., Simonsick, E. M., Ling, S. M., Windham, B. G., Harris, T. B., Shorr, R. I., Bauer, D. C., Abernethy, D. R., & Health ABC Study. (2009). Drug burden index score and functional decline in older people. The American Journal of Medicine, 122(12), 11421149.e1-2. https://doi.org/10.1016/j.amjmed.2009.02.021CrossRefGoogle ScholarPubMed
Huckvale, K., Venkatesh, S., & Christensen, H. (2019). Toward clinical digital phenotyping: A timely opportunity to consider purpose, quality, and safety. NPJ Digital Medicine, 2, 88. https://doi.org/10.1038/s41746-019-0166-1CrossRefGoogle ScholarPubMed
Jette, A. M., Haley, S. M., Coster, W. J., Kooyoomjian, J. T., Levenson, S., Heeren, T., & Ashba, J. (2002). Late life function and disability instrument : I. Development and evaluation of the disability component. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 57(4), M209–216. https://doi.org/10.1093/gerona/57.4.m209CrossRefGoogle ScholarPubMed
Kouladjian, L., Gnjidic, D., Chen, T. F., & Hilmer, S. N. (2016). Development, validation and evaluation of an electronic pharmacological tool : The Drug Burden Index Calculator©. Research in Social & Administrative Pharmacy: RSAP, 12(6), 865875. https://doi.org/10.1016/j.sapharm.2015.11.002CrossRefGoogle ScholarPubMed
Kouladjian, L., Gnjidic, D., Chen, T. F., Mangoni, A. A., & Hilmer, S. N. (2014). Drug Burden Index in older adults: Theoretical and practical issues. Clinical Interventions in Aging, 9, 15031515. https://doi.org/10.2147/cia.s66660CrossRefGoogle ScholarPubMed
Lim, R., Dumuid, D., Parfitt, G., Stanford, T., Post, D., Bilton, R., Kalisch Ellett, L. M., Pratt, N., & Roughead, E. E. (2023). Using wrist-worn accelerometers to identify the impact of medicines with anticholinergic or sedative properties on sedentary time : A 12-month prospective analysis. Maturitas, 172, 914. https://doi.org/10.1016/j.maturitas.2023.03.006CrossRefGoogle ScholarPubMed
Lowry, E., Woodman, R. J., Soiza, R. L., Hilmer, S. N., & Mangoni, A. A. (2012). Drug burden index, physical function, and adverse outcomes in older hospitalized patients. The Journal of Clinical Pharmacology, 52(10), 15841591. https://doi.org/10.1177/0091270011421489CrossRefGoogle ScholarPubMed
Mach, J., Gemikonakli, G., Logan, C., Vander Wyk, B., Allore, H., Ekambareshwar, S., Kane, A. E., Howlett, S. E., de Cabo, R., Le Couteur, D. G., & Hilmer, S. N. (2021). Chronic polypharmacy with increasing drug burden index exacerbates frailty and impairs physical function, with effects attenuated by deprescribing, in aged mice. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 76(6), 10101018. https://doi.org/10.1093/gerona/glaa060CrossRefGoogle ScholarPubMed
Mancini, M., King, L., Salarian, A., Holmstrom, L., McNames, J., & Horak, F. B. (2011). Mobility Lab to Assess Balance and Gait with Synchronized Body-worn Sensors. Journal of Bioengineering & Biomedical Science, Suppl 1, 007. https://doi.org/10.4172/2155-9538.S1-007Google Scholar
Mancini, M., Salarian, A., Carlson-Kuhta, P., Zampieri, C., King, L., Chiari, L., & Horak, F. B. (2012). ISway: A sensitive, valid and reliable measure of postural control. Journal of Neuroengineering and Rehabilitation, 9, 59. https://doi.org/10.1186/1743-0003-9-59CrossRefGoogle ScholarPubMed
Montero-Odasso, M., Almeida, Q. J., Bherer, L., Burhan, A. M., Camicioli, R., Doyon, J., Fraser, S., Muir-Hunter, S., Li, K. Z. H., Liu-Ambrose, T., McIlroy, W., Middleton, L., Morais, J. A., Sakurai, R., Speechley, M., Vasudev, A., Beauchet, O., Hausdorff, J. M., Rosano, C., Canadian Gait and Cognition Network. (2019). Consensus on shared measures of mobility and cognition: From the Canadian Consortium on Neurodegeneration in Aging (CCNA). The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 74(6), 897909. https://doi.org/10.1093/gerona/gly148CrossRefGoogle Scholar
Mueller, A., Hoefling, H. A., Muaremi, A., Praestgaard, J., Walsh, L. C., Bunte, O., Huber, R. M., Fürmetz, J., Keppler, A. M., Schieker, M., Böcker, W., Roubenoff, R., Brachat, S., Rooks, D. S., & Clay, I. (2019). Continuous digital monitoring of walking speed in Frail Elderly patients: Noninterventional validation study and longitudinal clinical trial. JMIR mHealth and uHealth, 7(11), e15191. https://doi.org/10.2196/15191CrossRefGoogle ScholarPubMed
Perera, S., Mody, S. H., Woodman, R. C., & Studenski, S. A. (2006). Meaningful change and responsiveness in common physical performance measures in older adults. Journal of the American Geriatrics Society, 54(5), 743749. https://doi.org/10.1111/j.1532-5415.2006.00701.xCrossRefGoogle ScholarPubMed
Phutietsile, G. O., Fotaki, N., Jamieson, H. A., & Nishtala, P. S. (2023). The association between anticholinergic burden and mobility: A systematic review and meta-analyses. BMC Geriatrics, 23(1), 161. https://doi.org/10.1186/s12877-023-03820-6CrossRefGoogle ScholarPubMed
Reeve, E., Moriarty, F., Nahas, R., Turner, J. P., Kouladjian O’Donnell, L., & Hilmer, S. N. (2018). A narrative review of the safety concerns of deprescribing in older adults and strategies to mitigate potential harms. Expert Opinion on Drug Safety, 17(1), 3949. https://doi.org/10.1080/14740338.2018.1397625CrossRefGoogle ScholarPubMed
Rockwood, K., Song, X., MacKnight, C., Bergman, H., Hogan, D. B., McDowell, I., & Mitnitski, A. (2005). A global clinical measure of fitness and frailty in elderly people. CMAJ, 173(5), 489495.CrossRefGoogle ScholarPubMed
Sakakibara, B. M., Routhier, F., Lavoie, M.-P., & Miller, W. C. (2013). Reliability and validity of the French-Canadian late life function and disability instrument in community-living wheelchair-users. Scandinavian Journal of Occupational Therapy, 20(5), 365373. https://doi.org/10.3109/11038128.2013.810304CrossRefGoogle ScholarPubMed
Salarian, A., Horak, F. B., Zampieri, C., Carlson-Kuhta, P., Nutt, J. G., & Aminian, K. (2010). iTUG, a sensitive and reliable measure of mobility. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 18(3), 303310. https://doi.org/10.1109/TNSRE.2010.2047606CrossRefGoogle ScholarPubMed
Scott, I. A., Hilmer, S. N., Reeve, E., Potter, K., Le Couteur, D., Rigby, D., Gnjidic, D., Del Mar, C. B., Roughead, E. E., Page, A., Jansen, J., & Martin, J. H. (2015). Reducing inappropriate polypharmacy: The process of deprescribing. JAMA Internal Medicine, 175(5), 827834. https://doi.org/10.1001/jamainternmed.2015.0324CrossRefGoogle ScholarPubMed
Simard, M., Sirois, C., & Candas, B. (2018). Validation of the combined comorbidity index of Charlson and elixhauser to predict 30-day mortality across ICD-9 and ICD-10. Medical Care, 56(5), 441447. https://doi.org/10.1097/MLR.0000000000000905CrossRefGoogle ScholarPubMed
Thabane, L., Ma, J., Chu, R., Cheng, J., Ismaila, A., Rios, L. P., Robson, R., Thabane, M., Giangregorio, L., & Goldsmith, C. H. (2010). A tutorial on pilot studies: The what, why and how. BMC Medical Research Methodology, 10, 1. https://doi.org/10.1186/1471-2288-10-1CrossRefGoogle Scholar
Trojaniello, D., Cereatti, A., Pelosin, E., Avanzino, L., Mirelman, A., Hausdorff, J. M., & Della Croce, U. (2014). Estimation of step-by-step spatio-temporal parameters of normal and impaired gait using shank-mounted magneto-inertial sensors: Application to elderly, hemiparetic, parkinsonian and choreic gait. Journal of Neuroengineering and Rehabilitation, 11, 152. https://doi.org/10.1186/1743-0003-11-152CrossRefGoogle ScholarPubMed
Walha, R., Dagenais, P., Gaudreault, N., Beaudoin-Côté, G., & Boissy, P. (2022). The effects of custom-made foot orthoses on foot pain, foot function, gait function, and free-living walking activities in people with psoriatic arthritis (PsA): A pre-experimental trial. Arthritis Research & Therapy, 24(1), 124. https://doi.org/10.1186/s13075-022-02808-8CrossRefGoogle ScholarPubMed
Walha, R., Gaudreault, N., Dagenais, P., & Boissy, P. (2022). Spatiotemporal parameters and gait variability in people with psoriatic arthritis (PsA): A cross-sectional study. Journal of Foot and Ankle Research, 15(1), 19. https://doi.org/10.1186/s13047-022-00521-yCrossRefGoogle ScholarPubMed
Welsh, T. J., van derWardt, V., Ojo, G., Gordon, A. L., & Gladman, J. R. F. (2018). Anticholinergic drug burden tools/scales and adverse outcomes in different clinical settings: A systematic review of reviewsDrugs & Aging, 35(6), 523538. https://doi.org/10.1007/s40266-018-0549-zCrossRefGoogle ScholarPubMed
World Health Organization. (2001). International Classification of Functioning, Disability and Health (ICF). www.who.int/standards/classifications/international-classification-of-functioning-disability-and-health. Accessed 2024-04-17.Google Scholar
World Health Organization. (2024). Anatomical therapeutic chemical (ATC) classification. Available at: www.whocc.no/atc_ddd_index/. Accessed on 17 April 2024.Google Scholar
Wouters, H., Hilmer, S. N., Gnjidic, D., Van Campen, J. P., Teichert, M., Van Der Meer, H. G., Schaap, L. A., Huisman, M., Comijs, H. C., Denig, P., Lamoth, C. J., & Taxis, K. (2020). Long-term exposure to anticholinergic and sedative medications and cognitive and physical function in later life. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 75(2), 357365. https://doi.org/10.1093/gerona/glz019Google ScholarPubMed
Wouters, H., Van Campen, J. P., Kuitert, M. J., Kikkert, L., Hilmer, S. N., Taxis, K., Van der Meer, H. G., & Lamoth, C. J. C. (2021). Anticholinergic and sedative medications and dynamic gait parameters in older patients. Drugs & Aging, 38(12), 10871096. https://doi.org/10.1007/s40266-021-00902-1CrossRefGoogle ScholarPubMed
Wu, H., Kouladjian O’Donnell, L., Fujita, K., Masnoon, N., & Hilmer, S. N. (2021). Deprescribing in the older patient: A narrative review of challenges and solutions. International Journal of General Medicine, 14, 37933807. https://doi.org/10.2147/IJGM.S253177CrossRefGoogle Scholar