Evidence map›Paper›PMID 35298394›Full record

ArticleJMIR formative research2022

Testing Digital Methods of Patient-Reported Outcomes Data Collection: Prospective Cluster Randomized Trial to Test SMS Text Messaging and Mobile Surveys.

Anish K Agarwal, Zarina S Ali, Frances Shofer, Ruiying Xiong, Jessica Hemmons, Evan Spencer, Dina Abdel-Rahman, Brian Sennett, Mucio K Delgado

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03532256 (Using Text-messaging to Engage Patients and Crowdsource Data), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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.

NCT03532256 completednot on this map

Using Text-messaging to Engage Patients and Crowdsource Data: an Opioid Pilot Study

TypeobservationalSponsorUniversity of PennsylvaniaRan2019 to 2019Enrolled127ConditionsOrthopedic Surgery, Opioid Use, Acute Injuries Knee, NeurosurgeryArmsObservation, Text to online survey, Bi-directional text script
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

9 authors at 3 institutions in 1 country.

Anish K AgarwalDepartment of Emergency Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0003-2175-0196
Zarina S AliLeonard Davis Institute, University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-9048-0487
Frances ShoferDepartment of Emergency Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0001-6813-4791
Ruiying XiongBehavioral Science and Analytics for Injury Reduction, University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-7524-6764
Jessica HemmonsDepartment of Emergency Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-1245-7767
Evan SpencerDepartment of Emergency Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0001-8879-7648
Dina Abdel-RahmanDepartment of Emergency Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0003-4099-8058
Brian SennettDepartment of Orthopedic Surgery, University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-9986-1390
Mucio K DelgadoDepartment of Emergency Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-2248-8401
University of Pennsylvania · USUniversity City Science Center · USPhiladelphia University · US

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
NCATS NIH HHS UL1 TR001878
6 · The paper itself

Abstract

backgroundHealth care delivery continues to evolve, with an effort being made to create patient-centered care models using patient-reported outcomes (PROs) data. Collecting PROs has remained challenging and an expanding landscape of digital health offers a variety of methods to engage patients.

objectiveThe aim of this study is to prospectively investigate two common methods of remote PRO data collection. The study sought to compare response and engagement rates for bidirectional SMS text messaging and mobile surveys following orthopedic surgery.

methodsThe study was a prospective, block randomized trial of adults undergoing elective orthopedic procedures over 6 weeks. The primary objective was to determine if the method of digital patient engagement would impact response and completion rates. The primary outcome was response rate and total completion of PRO questionnaires.

resultsA total of 127 participants were block randomized into receiving a mobile survey (n=63) delivered as a hyperlink or responding to the same questions through an automated bidirectional SMS text messaging system (n=64). Gender, age, number of comorbidities, and opioid prescriptions were similar across messaging arms. Patients receiving the mobile survey were more likely to have had a knee-related surgery (n=50, 83.3% vs n=40, 62.5%; P=.02) but less likely to have had an invasive procedure (n=26, 41.3% vs n=39, 60.9%; P=.03). Overall engagement over the immediate postoperative period was similar. Prolonged engagement for patients taking opioids past postoperative day 4 was higher in the mobile survey arm at day 7 (18/19, 94.7% vs 9/16, 56.3%). Patients with more invasive procedures showed a trend toward being responsive at day 4 as compared to not responding (n=41, 59.4% vs n=24, 41.4%; P=.05).

conclusionsAs mobile patient engagement becomes more common in health care, testing the various options to engage patients to gather data is crucial to inform future care and research. We found that bidirectional SMS text messaging and mobile surveys were comparable in response and engagement rates; however, mobile surveys may trend toward higher response rates over longer periods of time.

trial registrationClinicalTrials.gov NCT03532256; https://clinicaltrials.gov/ct2/show/NCT03532256.

Indexed as

data collectionmobile surveymobile surveyspatient engagementpatient-reported outcomesresearch methodsresponse ratetext messaging

Identifiers

PMID35298394
PMCPMC8972112
OpenAlexW4210831346

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.