Evidence map›Paper›PMID 42022424›Full record

ArticleJOR spine2026

Feasibility of Smartphone-Derived Short-Interval Walking Tests for Monitoring Functional Recovery After Spine Surgery.

J Puhakka, M Jung, T Fekete, M Loibl, F Kleinstück, F Porchet, M Ropelato, M Gocevic, F Galbusera, A Cina and 3 more

Abstract read
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Article in JOR spine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

J PuhakkaDepartment of Spine Surgery Schulthess Klinik Zürich Switzerland.
M JungDepartment of Spine Surgery Schulthess Klinik Zürich Switzerland.ORCID https://orcid.org/0009-0008-3949-6409
T FeketeDepartment of Spine Surgery Schulthess Klinik Zürich Switzerland.
M LoiblDepartment of Spine Surgery Schulthess Klinik Zürich Switzerland.
F KleinstückDepartment of Spine Surgery Schulthess Klinik Zürich Switzerland.
F PorchetDepartment of Spine Surgery Schulthess Klinik Zürich Switzerland.
M RopelatoDepartment of Spine Surgery Schulthess Klinik Zürich Switzerland.
M GocevicDepartment of Spine Surgery Schulthess Klinik Zürich Switzerland.
F GalbuseraDepartment of Teaching Research and Development, Schulthess Klinik Zürich Switzerland.ORCID https://orcid.org/0000-0003-1826-9190
A CinaDepartment of Teaching Research and Development, Schulthess Klinik Zürich Switzerland.
D O'RiordanDepartment of Teaching Research and Development, Schulthess Klinik Zürich Switzerland.
J KosolaDepartment of Orthopaedics and Traumatology University of Helsinki Helsinki Finland.
D HaschtmannDepartment of Spine Surgery Schulthess Klinik Zürich Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Traditional assessments of functional recovery after spine surgery rely on patient-reported outcomes, which are prone to bias. Wearables and smartphone activity tracking offer objective monitoring but may be unreliable if devices are not carried continuously. Capacity-oriented measures, such as the 1-min walk test (1MWT) and 6-min walk test (6MWT), may be more reliable. This study evaluated smartphone-derived interval metrics after lumbar spine surgery retrospectively. Methods: iPhone Health exports from 41 patients were analyzed. A sliding-window algorithm parsed daily distances to simulate 1MWT and 6MWT. Step counts and active time were extracted. Activity was compared across four intervals: 6-month baseline, final 2 weeks preoperatively, early postoperative (0-2 weeks), and late postoperative (2-6 weeks). Paired Results: Median 1MWT fell from 98 m at baseline to 82 m in the final two preoperative weeks ( Conclusions: Smartphone-derived 1MWT and 6MWT improved significantly from the immediate preoperative period to late postoperative recovery, showed lower day-to-day variability than longitudinal activity metrics, and were strongly correlated with each other. These findings support smartphone-derived interval metrics as a feasible method to monitor recovery following lumbar spine surgery.

Identifiers

PMID42022424
PMCPMC13097399

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.