Evidence map›Paper›PMID 33496677›Full record

ArticleJMIR mHealth and uHealth2021

Measuring Daily Compliance With Physical Activity Tracking in Ambulatory Surgery Patients: Comparative Analysis of Five Compliance Criteria.

Ryan Kelly, Simon Jones, Blaine Price, Dmitri Katz, Ciaran McCormick, Oliver Pearce

Registry-linked trialAbstract readComparative Study
In one paragraph

Article in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03518866 (A Feasibility Study to Monitor Post Discharge Activity of Patient Recovery After Knee Replacement Surgery), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03518866 unknown statusnot on this map

A Feasibility Study to Monitor Post Discharge Activity of Patient Recovery After Knee Replacement Surgery

TypeobservationalSponsorBev HoddellRan2015 to 2018Enrolled46ConditionsTotal Knee Replacement
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Multidomain postoperative recovery trajectories after lumbar and thoracolumbar spine surgery.The spine journal : official journal of the North American Spine Society · 2025
    Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ryan KellySchool of Computing and Information Systems, University of Melbourne, Melbourne, Australia.ORCID 0000-0002-8773-6656
Simon JonesDepartment of Computer Science, University of Bath, Bath, United Kingdom.ORCID 0000-0003-4111-0591
Blaine Price *School of Computing and Communications, The Open University, Milton Keynes, United Kingdom.ORCID 0000-0002-2247-9804
Dmitri KatzSchool of Computing and Communications, The Open University, Milton Keynes, United Kingdom.ORCID 0000-0003-1345-7539
Ciaran McCormickSchool of Computing and Communications, The Open University, Milton Keynes, United Kingdom.ORCID 0000-0003-2552-7223
Oliver PearceTrauma and Orthopaedics Department, Milton Keynes University Hospital, Milton Keynes, United Kingdom.ORCID 0000-0001-9584-1395

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical activity trackers such as the Fitbit can allow clinicians to monitor the recovery of their patients following surgery. An important issue when analyzing activity tracker data is to determine patients' daily compliance with wearing their assigned device, using an appropriate criterion to determine a valid day of wear. However, it is currently unclear as to how different criteria can affect the reported compliance of patients recovering from ambulatory surgery. Investigating this issue can help to inform the use of activity data by revealing factors that may impact compliance calculations.

objectiveThis study aimed to understand how using different criteria can affect the reported compliance with activity tracking in ambulatory surgery patients. It also aimed to investigate factors that explain variation between the outcomes of different compliance criteria.

methodsA total of 62 patients who were scheduled to undergo total knee arthroplasty (TKA, ie, knee replacement) volunteered to wear a commercial Fitbit Zip activity tracker over an 8-week perioperative period. Patients were asked to wear the Fitbit Zip daily, beginning 2 weeks prior to their surgery and ending 6 weeks after surgery. Of the 62 patients who enrolled in the study, 20 provided Fitbit data and underwent successful surgery. The Fitbit data were analyzed using 5 different daily compliance criteria, which consider patients as compliant with daily tracking if they either register >0 steps in a day, register >500 steps in a day, register at least one step in 10 different hours of the day, register >0 steps in 3 distinct time windows, or register >0 steps in 3 out of 4 six-hour time windows. The criteria were compared in terms of compliance outcomes produced for each patient. Data were explored using heatmaps and line graphs. Linear mixed models were used to identify factors that lead to variation between compliance outcomes across the sample.

resultsThe 5 compliance criteria produce different outcomes when applied to the patients' data, with an average 24% difference in reported compliance between the most lenient and strictest criteria. However, the extent to which each patient's reported compliance was impacted by different criteria was not uniform. Some individuals were relatively unaffected, whereas others varied by up to 72%. Wearing the activity tracker as a clip-on device, rather than on the wrist, was associated with greater differences between compliance outcomes at the individual level (P=.004, r=.616). This effect was statistically significant (P<.001) in the first 2 weeks after surgery. There was also a small but significant main effect of age on compliance in the first 2 weeks after surgery (P=.040). Gender and BMI were not associated with differences in individual compliance outcomes. Finally, the analysis revealed that surgery has an impact on patients' compliance, with noticeable reductions in activity following surgery. These reductions affect compliance calculations by discarding greater amounts of data under strict criteria.

conclusionsThis study suggests that different compliance criteria cannot be used interchangeably to analyze activity data provided by TKA patients. Surgery leads to a temporary reduction in patients' mobility, which affects their reported compliance when strict thresholds are used. Reductions in mobility suggest that the use of lenient compliance criteria, such as >0 steps or windowed approaches, can avoid unnecessary data exclusion over the perioperative period. Encouraging patients to wear the device at their wrist may improve data quality by increasing the likelihood of patients wearing their tracker and ensuring that activity is registered in the 2 weeks after surgery.

trial registrationClinicalTrials.gov NCT03518866; https://clinicaltrials.gov/ct2/show/NCT03518866.

Indexed as

Arthroplasty, Replacement, KneeExerciseFitness TrackersAdultAgedAged, 80 and overAmbulatory Surgical ProceduresFemaleHumansMaleMiddle AgedPatient ComplianceRecovery of Functionactivity trackingadherencecompliancesurgerytotal knee arthroplasty

Identifiers

PMID33496677
PMCPMC7872832

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Registered trials

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.