Evidence map›Paper›PMID 40257547›Full record

ArticleAging clinical and experimental research2025

Evaluation of a text message + pedometer intervention to increase steps after emergency department discharge: a pilot study.

Brian Suffoletto, Waverly Mayer, Caitlin Toth, Nick Ashenburg, Michelle Lin, Michael Losak, David Kim

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In one paragraph

Article in Aging clinical and experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Brian SuffolettoDepartment of Emergency Medicine, Stanford University, Stanford, USA. suffbp@stanford.edu.
Waverly MayerDepartment of Emergency Medicine, Stanford University, Stanford, USA.
Caitlin TothDepartment of Emergency Medicine, Stanford University, Stanford, USA.
Nick AshenburgDepartment of Emergency Medicine, Stanford University, Stanford, USA.
Michelle LinDepartment of Emergency Medicine, Stanford University, Stanford, USA.
Michael LosakDepartment of Emergency Medicine, Stanford University, Stanford, USA.
David KimDepartment of Emergency Medicine, Stanford University, Stanford, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder adults face increased risk of functional impairments after Emergency Department (ED) discharge, yet no evidence-based interventions exist for this population.

objectiveTo evaluate the feasibility, safety, and effectiveness of Safe Steps, a text message + pedometer intervention designed to motivate individuals to meet step count goals.

methodsWe recruited ED patients aged ≥ 60 with low physical activity. Participants received a pedometer in the ED, daily text messages to report steps, and weekly prompts to set step goals over 4 weeks. We assessed step count reporting rates, falls, and change in steps over time.

resultsAmong analyzed participants (n = 40), daily step reporting was high (95% of weeks with 2 + readings). No participants had falls due to the intervention. Step count increased by a mean of 359 steps per week (95% confidence interval 182-536).

conclusionSafe Steps appears feasible, safe, and may be effective for promoting activity after ED discharge.

Indexed as

Emergency Service, HospitalPatient DischargeText MessagingWalkingAccidental FallsAgedAged, 80 and overExerciseFeasibility StudiesFemaleHumansMaleMiddle AgedPilot ProjectsBehaivor changeEmergency departmentFall preventionMobile healthOlder adultsPedometerPhysical activityStep countText message

Identifiers

PMID40257547
PMCPMC12011956

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.