Accuracy of Physiotherapist Predictions for Independent Walking After Stroke

被引:0
作者
Smith, Marie-Claire [1 ,2 ,3 ]
Scrivener, Benjamin J. [1 ,4 ]
Skinner, Luke [5 ]
Stinear, Cathy M. [1 ,3 ]
机构
[1] Univ Auckland, Fac Med & Hlth Sci, Dept Med, Auckland, New Zealand
[2] Univ Auckland, Fac Sci, Dept Exercise Sci, Auckland, New Zealand
[3] Univ Auckland, Ctr Brain Res, Auckland, New Zealand
[4] Te Whatu Ora, Neurol, Te Toka Tumai, Auckland, New Zealand
[5] Te Whatu Ora Waitemata, Auckland, New Zealand
关键词
stroke; prediction; physiotherapist; walking; recovery; TWIST; THERAPISTS EARLY PREDICTIONS; MOTOR RECOVERY; REHABILITATION; POSTSTROKE; BIOMARKERS; AMBULATION; VALIDITY; MODELS; TIME;
D O I
10.1177/15459683241270055
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background The use of prediction tools in stroke rehabilitation research and clinical practice is increasing, but it is not clear whether these prediction tools out-perform clinician predictions. Objective This study aimed to compare physiotherapist predictions for independent walking with the Time to Walking Independently after STroke (TWIST) prediction tool. Methods Adults with new lower limb weakness and unable to walk independently (Functional Ambulation Category [FAC] < 4) were recruited. At 1 week post-stroke, the treating physiotherapist was asked to predict whether their patient would achieve independent walking by 4, 6, 9, 12, 16, or 26 weeks, or remain dependent. Predictions were also made using the TWIST prediction tool, but not shared. Binary logistic regressions were conducted with the time independent walking was achieved as the dependent variable and independent variables were the physiotherapist and TWIST predictions. Results Ninety-one participants were included (median age 71 years, 36 [40%] female). Most participants (67 [74%]) were non-ambulatory (FAC = 0) at 1-week post-stroke. Thirty-seven physiotherapists were recruited. Physiotherapists made accurate predictions for time taken to achieve independent walking for 39 participants (43%). Prediction accuracy was not related to physiotherapist confidence or years of stroke-specific experience. TWIST out-performed physiotherapist predictions (Physiotherapists 76%-77%, TWIST 86%-88% accurate) for participants who achieved independent walking by 4, 6, and 9 weeks post-stroke. Accuracy of physiotherapist and TWIST predictions was similar for 16 and 26 weeks post-stroke. Conclusions The TWIST prediction tool is more accurate than physiotherapists at predicting whether a patient will achieve independent walking by 4, 6, or 9 weeks post-stroke, but not for 16 or 26 weeks post-stroke. TWIST may be useful to inform early rehabilitation and discharge planning. Clinical Trial Registration-URL: www.anzctr.org.au Unique Identifier: ACTRN12617001434381.
引用
收藏
页码:742 / 751
页数:10
相关论文
共 29 条
  • [1] CLASSIFICATION OF SUBTYPE OF ACUTE ISCHEMIC STROKE - DEFINITIONS FOR USE IN A MULTICENTER CLINICAL-TRIAL
    ADAMS, HP
    BENDIXEN, BH
    KAPPELLE, LJ
    BILLER, J
    LOVE, BB
    GORDON, DL
    MARSH, EE
    KASE, CS
    WOLF, PA
    BABIKIAN, VL
    LICATAGEHR, EE
    ALLEN, N
    BRASS, LM
    FAYAD, PB
    PAVALKIS, FJ
    WEINBERGER, JM
    TUHRIM, S
    RUDOLPH, SH
    HOROWITZ, DR
    BITTON, A
    MOHR, JP
    SACCO, RL
    CLAVIJO, M
    ROSENBAUM, DM
    SPARR, SA
    KATZ, P
    KLONOWSKI, E
    CULEBRAS, A
    CAREY, G
    MARTIR, NI
    FICARRA, C
    HOGAN, EL
    CARTER, T
    GURECKI, P
    MUNTZ, BK
    RAMIREZLASSEPAS, M
    TULLOCH, JW
    QUINONES, MR
    MENDEZ, M
    ZHANG, SM
    ALA, T
    JOHNSTON, KC
    ANDERSON, DC
    TARREL, RM
    NANCE, MA
    BUDLIE, SR
    DIERICH, M
    HELGASON, CM
    HIER, DB
    SHAPIRO, RA
    [J]. STROKE, 1993, 24 (01) : 35 - 41
  • [2] BERG K, 1995, SCAND J REHABIL MED, V27, P27
  • [3] Biomarkers of stroke recovery: Consensus-based core recommendations from the Stroke Recovery and Rehabilitation Roundtable
    Boyd, Lara A.
    Hayward, Kathryn S.
    Ward, Nick S.
    Stinear, Cathy M.
    Rosso, Charlotte
    Fisher, Rebecca J.
    Carter, Alexandre R.
    Leff, Alex P.
    Copland, David A.
    Carey, Leeanne M.
    Cohen, Leonardo G.
    Basso, D. Michele
    Maguire, Jane M.
    Cramer, Steven C.
    [J]. INTERNATIONAL JOURNAL OF STROKE, 2017, 12 (05) : 480 - 493
  • [4] Criterion validity of lower extremity Motricity Index scores
    Cameron, D
    Bohannon, RW
    [J]. CLINICAL REHABILITATION, 2000, 14 (02) : 208 - 211
  • [5] Implementing the PREP2 Algorithm to Predict Upper Limb Recovery Potential After Stroke in Clinical Practice: A Qualitative Study
    Connell, Louise A.
    Chesworth, Brigit
    Ackerley, Suzanne
    Smith, Marie-Claire
    Stinear, Cathy M.
    [J]. PHYSICAL THERAPY, 2021, 101 (05):
  • [6] Implementing biomarkers to predict motor recovery after stroke
    Connell, Louise A.
    Smith, Marie-Claire
    Byblow, Winston D.
    Stinear, Cathy M.
    [J]. NEUROREHABILITATION, 2018, 43 (01) : 41 - 50
  • [7] Physiatrist referral preferences for postacute stroke rehabilitation
    Cormier, David J.
    Frantz, Megan A.
    Rand, Ethan
    Stein, Joel
    [J]. MEDICINE, 2016, 95 (33)
  • [8] Predictors of poststroke mobility: systematic review
    Craig, Louise E.
    Wu, Olivia
    Bernhardt, Julie
    Langhorne, Peter
    [J]. INTERNATIONAL JOURNAL OF STROKE, 2011, 6 (04) : 321 - 327
  • [9] Physicians' perceptions of the value of prognostic models: the benefits and risks of prognostic confidence
    Hallen, Sarah A. M.
    Hootsmans, Norbert A. M.
    Blaisdell, Laura
    Gutheil, Caitlin M.
    Han, Paul K. J.
    [J]. HEALTH EXPECTATIONS, 2015, 18 (06) : 2266 - 2277
  • [10] Predictors of Functional Outcome Following Stroke
    Harvey, Richard L.
    [J]. PHYSICAL MEDICINE AND REHABILITATION CLINICS OF NORTH AMERICA, 2015, 26 (04) : 583 - +