nach oben

Zeitschrift für Gerontologie und Geriatrie

Erschienen in:

18.02.2022 | Themenschwerpunkt

Assessment von Mobilität – geriatrisches Assessment zur Erfassung lokomotorischer Mobilitätseinschränkungen und Perspektiven der Instrumentierung

verfasst von: Dr. med. Markus A. Hobert, Dr. med. Michael Jamour

Erschienen in: Zeitschrift für Gerontologie und Geriatrie | Ausgabe 2/2022

Einloggen, um Zugang zu erhalten

Zusammenfassung

Mobilität und deren Einschränkung spielen für die Lebensqualität von geriatrischen Patienten eine wichtige Rolle und beeinflussen Aktivitäten und Teilhabe. Das Assessment der Mobilität ist daher von besonderer Wichtigkeit für die Therapie und Therapieplanung bei geriatrischen Patienten. Es gibt viele Assessmentinstrumente, die jedoch z. B. aufgrund von Bodeneffekten nicht in jeder Patientengruppe sinnvoll eingesetzt werden können. Der Artikel gibt einen Überblick über gängige Assessmentinstrumente und deren differenzierte Bewertung, um ihren Einsatz zu erleichtern. Besondere Berücksichtigung finden dabei Performance-orientierte Aspekte und aktuelle technische Weiterentwicklungen wie tragbare Sensoren.

Vorheriger Artikel Comparison of delirium detection tools in acute care

Nächster Artikel Person-environment fit of environmental support provided during medical consultations with older patients

Jamour M, Becker C, Bachmann S et al (2011) Empfehlungen für die Durchführung des motorischen Assessments der unteren Extremität zur ICF-basierten Verlaufsbeurteilung der Mobilität in der stationären geriatrischen Rehabilitation. Bericht eines interdisziplinären Konsensusprozesses. Z Gerontol Geriatr 44:429–436. https://doi.org/10.1007/s00391-011-0267-1CrossRefPubMed

Bernhard FP, Sartor Bettecken JK et al (2018) Wearables for gait and balance assessment in the neurological ward—Study design and first results of a prospective cross-sectional feasibility study with 384 inpatients. BMC Neurol. https://doi.org/10.1186/s12883-018-1111-7CrossRefPubMedPubMedCentral

de Morton NA, Nolan J, O’Brien M et al (2015) A head-to-head comparison of the de Morton Mobility Index (DEMMI) and Elderly Mobility Scale (EMS) in an older acute medical population. Disabil Rehabil 37:1881–1887. https://doi.org/10.3109/09638288.2014.982832CrossRefPubMed

Denkinger MD, Igl W, Coll-Planas L et al (2009) Evaluation of the short form of the late-life function and disability instrument in geriatric inpatients-validity, responsiveness, and sensitivity to change. J Am Geriatr Soc 57:309–314. https://doi.org/10.1111/j.1532-5415.2008.02095.xCrossRefPubMed

Nakano N, Sakura T, Ueda K et al (2020) Evaluation of 3D markerless motion capture accuracy using openpose with multiple video cameras. Front Sport Act Living 2:50. https://doi.org/10.3389/fspor.2020.00050CrossRef

Webster KE, Wittwer JE, Feller JA (2005) Validity of the GAITRite® walkway system for the measurement of averaged and individual step parameters of gait. Gait Posture 22:317–321. https://doi.org/10.1016/J.GAITPOST.2004.10.005CrossRefPubMed

Ekvall Hansson E, Tornberg Ä (2019) Coherence and reliability of a wearable inertial measurement unit for measuring postural sway. BMC Res Notes 12:201. https://doi.org/10.1186/s13104-019-4238-8CrossRefPubMedPubMedCentral

Hobert MA, Meyer SI, Hasmann SE et al (2017) Gait is associated with cognitive flexibility: A dual-tasking study in healthy older people. Front Aging Neurosci 9:154. https://doi.org/10.3389/fnagi.2017.00154CrossRefPubMedPubMedCentral

Mellone S, Tacconi C, Chiari L (2012) Validity of a smartphone-based instrumented timed up and go. Gait Posture 36:163–165. https://doi.org/10.1016/j.gaitpost.2012.02.006CrossRefPubMed

10.

Hobert MA, Maetzler W, Aminian K, Chiari L (2014) Technical and clinical view on ambulatory assessment in Parkinson’s disease. Acta Neurol Scand 130:139–147. https://doi.org/10.1111/ane.12248CrossRefPubMed

11.

Zijlstra A, Mancini M, Lindemann U et al (2012) Sit-stand and stand-sit transitions in older adults and patients with Parkinson’s disease: event detection based on motion sensors versus force plates. J Neuroeng Rehabil 9:75. https://doi.org/10.1186/1743-0003-9-75CrossRefPubMedPubMedCentral

12.

Braun B, Veith NT, Hell R et al (2015) Validation and reliability testing of a new, fully integrated gait analysis insole. J Foot Ankle Res. https://doi.org/10.1186/s13047-015-0111-8CrossRefPubMedPubMedCentral

13.

Reinfelder S, Durlak F, Barth J et al (2014) Wearable static posturography solution using a novel pressure sensor sole. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Annu Int Conf IEEE Eng Med Biol Soc, S 2973–2976

14.

Galna B, Lord S, Rochester L (2013) Is galt variability reliable in older adults and Parkinson’s disease? Towards an optimal testing protocol. Galt Posture 37:580–585. https://doi.org/10.1016/j.gaitpost.2012.09.025CrossRef

15.

Krupp S für die AG Assessment der Deutschen Gesellschaft für Geriatrie (2021) S1-Leitlinie Geriatrisches Assessment der Stufe 2, Living Guideline. Version 15.10.2021, AWMF-Register-Nr. 084-002LG

16.

Hobert MA, Hofmann W, Bartsch T et al (2020) Vaskulär bedingte Demenzen erkennen und behandeln. Z Gerontol Geriatr 53:687–698. https://doi.org/10.1007/s00391-020-01786-3CrossRefPubMed

17.

Weiss A, Herman T, Plotnik M et al (2010) Can an accelerometer enhance the utility of the timed up & go test when evaluating patients with Parkinson’s disease? Med Eng Phys 32:119–125CrossRefPubMed

18.

Vasunilashorn S, Coppin AK, Patel KV et al (2009) Use of the short physical performance battery score to predict loss of ability to walk 400 meters: analysis from the InCHIANTI study. J Gerontol A Biol Sci Med Sci 64:223–229. https://doi.org/10.1093/gerona/gIn022CrossRefPubMed

19.

Guralnik JM, Simonsick EM, Ferrucci L et al (1994) A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol 49:M85–M94. https://doi.org/10.1093/geronj/49.2.m85CrossRefPubMed

20.

Cesari M, Onder G, Zamboni V et al (2008) Physical function and self-rated health status as predictors of mortality: results from longitudinal analysis in the iISIRENTE study. BMC Geriatr 8:34. https://doi.org/10.1186/1471-2318-8-34CrossRefPubMedPubMedCentral

21.

Ostir GV, Volpato S, Fried LP et al (2002) Reliability and sensitivity to change assessed for a summary measure of lower body function: results from the women’s health and aging study. J Clin Epidemiol 55:916–921. https://doi.org/10.1016/s0895-4356(02)00436-5CrossRefPubMed

22.

Stoffels AA, De Brandt J, Meys R et al (2021) Short physical performance battery: response to pulmonary rehabilitation and minimal important difference estimates in patients with chronic obstructive pulmonary disease. Arch Phys Med Rehabil 102:2377–2384.e5. https://doi.org/10.1016/j.apmr.2021.05.011CrossRefPubMed

23.

Rinaldo L, Caligari M, Acquati C et al (2021) Functional capacity assessment and minimal clinically important difference in post-acute cardiac patients: the role of short physical performance battery. Eur J Prev Cardiol. https://doi.org/10.1093/eurjpc/zwab044CrossRefPubMed

24.

Jung H‑W, Roh H, Cho Y et al (2019) Validation of a multi-sensor-based kiosk for short physical performance battery. J Am Geriatr Soc 67:2605–2609. https://doi.org/10.1111/jgs.16135CrossRefPubMed

25.

https://www.mcroberts.nl/module/sppb/. Zugegriffen: 31. Okt. 2021

26.

de Morton NA, Davidson M, Keating JL (2008) The de Morton Mobility Index (DEMMI): an essential health index for an ageing world. Health Qual Life Outcomes 6:63. https://doi.org/10.1186/1477-7525-6-63CrossRefPubMedPubMedCentral

27.

de Morton NA, Davidson M, Keating JL (2010) Validity, responsiveness and the minimal clinically important difference for the de Morton Mobility Index (DEMMI) in an older acute medical population. BMC Geriatr 10:72. https://doi.org/10.1186/1471-2318-10-72CrossRefPubMedPubMedCentral

28.

Dasenbrock L, Berg T, Lurz S et al (2016) The De Morton Mobility Index for evaluation of early geriatric rehabilitation. Z Gerontol Geriatr 49:398–404. https://doi.org/10.1007/s00391-016-1061-xCrossRefPubMed

29.

de Morton NA, Meyer C, Moore KJ et al (2011) Validation of the de Morton Mobility Index (DEMMI) with older community care recipients. Australas J Ageing 30:220–225. https://doi.org/10.1111/j.1741-6612.2010.00497.xCrossRefPubMed

30.

Runge M, Rehfeld G (2001) Geriatrische Rehabilitation im therapeutischen Team, 2. Aufl. Thieme, Stuttgart

31.

Jones CJ, Rikli RE, Beam WC (1999) A 30‑s chair-stand test as a measure of lower body strength in community-residing older adults. Res Q Exerc Sport 70:113–119. https://doi.org/10.1080/02701367.1999.10608028CrossRefPubMed

32.

Ng SSM, Kwong PWH, Chau MSP et al (2015) Effect of arm position and foot placement on the five times sit-to-stand test completion times of female adults older than 50 years of age. J Phys Ther Sci 27:1755–1759. https://doi.org/10.1589/jpts.27.1755CrossRefPubMedPubMedCentral

33.

Van Lummel RC, Walgaard S, Hobert MA et al (2016) Intra-rater, inter-rater and test-retest reliability of an instrumented timed up and Go (iTUG) test in patients with Parkinson’s disease. PLoS ONE. https://doi.org/10.1371/journal.pone.0151881CrossRefPubMedPubMedCentral

34.

Lindemann U, Farahmand P, Klenk J et al (2015) Validity of linear encoder measurement of sit-to-stand performance power in older people. Physiotherapy 101:298–302. https://doi.org/10.1016/j.physio.2014.12.005CrossRefPubMed

35.

Tinetti ME (1986) Performance-oriented assessment of mobility problems in elderly patients. J Am Geriatr Soc 34:119–126. https://doi.org/10.1111/j.1532-5415.1986.tb05480.xCrossRefPubMed

36.

Berg K, Wood-Dauphine S, Williams JI, Gayton D (1989) Measuring balance in the elderly: preliminary development of an instrument. Physiother Can 41:304–311. https://doi.org/10.3138/ptc.41.6.304CrossRef

37.

Maetzler W, Mancini M, Liepelt-Scarfone I et al (2012) Impaired trunk stability in individuals at high risk for Parkinson’s disease. PLoS One 7:e32240. https://doi.org/10.1371/journal.pone.0032240CrossRefPubMedPubMedCentral

38.

Kim Y‑W, Joa K‑L, Jeong H‑Y, Lee S (2021) Wearable IMU-based human activity recognition algorithm for clinical balance assessment using 1D-CNN and GRU ensemble model. Sensors (Basel). https://doi.org/10.3390/s21227628CrossRefPubMedPubMedCentral

39.

Lord S, Galna B, Rochester L (2013) Moving forward on gait measurement: Toward a more refined approach. Mov Disord 28:1534–1543. https://doi.org/10.1002/mds.25545CrossRefPubMed

40.

Montero-Odasso M, Almeida QJ, Bherer L et al (2019) Consensus on shared measures of mobility and cognition: From the Canadian Consortium on Neurodegeneration in Aging (CCNA). J Gerontol A Biol Sci Med Sci 74:897–909. https://doi.org/10.1093/gerona/gly148CrossRefPubMed

41.

Lindemann U, Najafi B, Zijlstra W et al (2008) Distance to achieve steady state walking speed in frail elderly persons. Gait Posture 27:91–96. https://doi.org/10.1016/j.gaitpost.2007.02.005CrossRefPubMed

42.

Salkovic D, Hobert MA, Bellut C et al (2017) Evidence for a selectively regulated prioritization shift depending on walking situations in older adults. Front Aging Neurosci 9:75CrossRefPubMedPubMedCentral

43.

Hobert MA, Niebler R, Meyer SI et al (2011) Poor trail making test performance is directly associated with altered dual task prioritization in the elderly—Baseline results from the TREND study. Plos One 6:e27831. https://doi.org/10.1371/journal.pone.0027831CrossRefPubMedPubMedCentral

44.

Odonkor CA, Thomas JC, Holt N et al (2013) A comparison of straight- and curved-path walking tests among mobility-limited older adults. J Gerontol A Biol Sci Med Sci 68:1532–1539. https://doi.org/10.1093/gerona/gIt060CrossRefPubMedPubMedCentral

45.

Cullen S, Montero-Odasso M, Bherer L et al (2018) Guidelines for gait assessments in the Canadian Consortium on Neurodegeneration in Aging (CCNA). Can Geriatr J 21:157–165. https://doi.org/10.5770/cgj.21.298CrossRefPubMedPubMedCentral

46.

Brooks D, Davis AM, Naglie G (2007) The feasibility of six-minute and two-minute walk tests in in-patient geriatric rehabilitation. Can J Aging 26:159–162. https://doi.org/10.3138/cja.26.2.009CrossRefPubMed

47.

Rockwood K, Song X, MacKnight C et al (2005) A global clinical measure of fitness and frailty in elderly people. CMAJ 173:489–495. https://doi.org/10.1503/cmaj.050051CrossRefPubMedPubMedCentral

48.

Gaßmann KG, Swoboda W, Tümena T et al (2022) Geriatric assessment in the inpatient sector. Z Gerontol Geriatr. https://doi.org/10.1007/s00391-021-02004-4CrossRefPubMed

49.

MacKnight C, Rockwood K (1995) A hierarchical assessment of balance and mobility. Age Ageing 24:126–130. https://doi.org/10.1093/ageing/24.2.126CrossRefPubMed

50.

Liebl ME, Elmer N, Schroeder I et al (2016) lntroduction of the charite mobility index (CHARMI)—A novel clinical mobility assessment for acute care rehabilitation. PLoS ONE 11:e169010. https://doi.org/10.1371/journal.pone.0169010CrossRefPubMedPubMedCentral

Titel: Assessment von Mobilität – geriatrisches Assessment zur Erfassung lokomotorischer Mobilitätseinschränkungen und Perspektiven der Instrumentierung
verfasst von: Dr. med. Markus A. Hobert
Dr. med. Michael Jamour
Publikationsdatum: 18.02.2022
Verlag: Springer Medizin
Erschienen in: Zeitschrift für Gerontologie und Geriatrie / Ausgabe 2/2022
Print ISSN: 0948-6704
Elektronische ISSN: 1435-1269
DOI: https://doi.org/10.1007/s00391-022-02040-8

Springerpflege

Zusammenfassung

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 2/2022

Selbstbeurteilung von Alltagsaktivitäten mittels Duruöz-Hand-Index – Validierung der deutschen Übersetzung

Assessment – neue Entwicklungen und alte Herausforderungen

Mitteilungen der DGGG

Strategien, Richtlinien und Empfehlungen zur Bewältigung der COVID-19-Pandemie in Einrichtungen der Palliativ- und Hospizversorgung. Ergebnisse eines Scoping-Reviews

Vom Leben und Sterben im Alter. Wie wir das Lebensende gestalten können

Terminal care in oldest old dying from COVID-19 in the acute hospital