Evidence map›Paper›PMID 32577113›Full record

ArticleThe Iowa orthopaedic journal2019

Automated Mobile Phone Messaging Utilizing a Cognitive Behavioral Intervention: A Pilot Investigation.

Edward O Rojas, Chris A Anthony, Jill Kain, Natalie Glass, Apurva S Shah, Tammy Smith, Benjamin J Miller

Open access · greenAbstract read
In one paragraph

Article in The Iowa orthopaedic journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 22% 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.

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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Demand for heroin in rats: effects of non-drug alternative substitutes and complements.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
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  9. The Use of mHealth in Orthopedic Surgery: A Scoping Review.International journal of environmental research and public health · 2021
    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

7 authors at 2 institutions in 1 country.

Edward O RojasDepartment of Orthopaedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Chris A AnthonyDepartment of Orthopaedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Jill KainDepartment of Orthopaedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Natalie GlassDepartment of Orthopaedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Apurva S ShahDivision of Orthopaedics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Tammy SmithDepartment of Orthopaedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Benjamin J MillerDepartment of Orthopaedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
University of Iowa Hospitals and Clinics · USChildren's Hospital of Philadelphia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In the setting of outpatient orthopaedic surgery, this pilot study utilized automated mobile messaging to assess (1) the feasibility of and interaction rates with a software delivered cognitive behavior therapy (CBT) intervention for postoperative opioid utilization, (2) the reliability of patient reported opioid utilization through our platform, (3) daily patient reported pain and opioid utilization within the first two postoperative weeks, and (4) the effect of software delivered CBT intervention on patient reported opioid utilization. Methods: Musculoskeletal tumor patients scheduled for outpatient surgery were randomized into two study groups. Control patients received standard postoperative communication limited to a two-week postoperative follow-up visit. The intervention group received automated daily text-messages regarding pain, opioid utilization, and a daily CBT intervention. Interventional group patients also completed a patient satisfaction questionnaire at their two-week follow-up. Completion rates of all software delivered questions were determined in the interventional group. Median values of opioid utilization and interquartile range (IQR) were determined to compare utilization between groups. Spearman correlation coefficients were used to determine reliability of patient reported opioid utilization in the interventional group. Results: Fourteen patients completed the pilot study (seven controls, seven intervention). Patients in the intervention arm completed 90% of pain and opioid questions. Intervention group patients utilized less of their daily prescribed opioid medication (20%, IQR:10%-27%) compared to controls (50%, IQR:4%-68%). Correlation between in-office pill counts and patient reported opioid medication utilization via our software messaging system was high (r=0.90, p=0.037). Conclusion: Automated mobile phone messaging in outpatient tumor surgery yielded high interaction rates. Patient reported opioid utilization obtained through our platform demonstrated a high correlation with in-office pill counts. CBT delivered via automated mobile phone messaging demonstrated decreased opioid utilization in this pilot investigation.

Indexed as

Cell PhoneText MessagingAdultAnalgesics, OpioidCognitive Behavioral TherapyFemaleHumansMaleMedication AdherenceMiddle AgedMusculoskeletal DiseasesPain ManagementPatient SatisfactionPilot ProjectsPostoperative PainPostoperative PeriodAnalgesics, Opioidcognitive behavior therapy (cbt)mhealthmusculoskeletal tumorsopioidspain management

Identifiers

PMID32577113
PMCPMC7047297
OpenAlexW3037503381

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.