Evidence map›Paper›PMID 37933185›Full record

Trial reportJMIR mHealth and uHealth2023

Evaluating the Impact of an mHealth Platform for Managing Acute Postoperative Dental Pain: Randomized Controlled Trial.

Bunmi Tokede, Alfa Yansane, Ana Ibarra-Noriega, Joanna Mullins, Kristen Simmons, Nicholas Skourtes, Urvi Mehta, Sayali Tungare, David Holmes, Joel White and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

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

7 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
  4. Article
  5. Article
  6. PostRegional anesthesia and pain medicine · 2025
    Article
  7. 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

12 authors.

Bunmi Tokede *The University of Texas Health Science Center, Houston, TX, United States.ORCID 0000-0003-4770-4200
Alfa Yansane *School of Dentistry, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0002-6813-457X
Ana Ibarra-NoriegaThe University of Texas Health Science Center, Houston, TX, United States.ORCID 0000-0002-7134-9627
Joanna MullinsWillamette Dental Group, Hillsboro, OR, United States.ORCID 0009-0009-7718-6572
Kristen SimmonsWillamette Dental Group, Hillsboro, OR, United States.ORCID 0009-0002-5005-0623
Nicholas SkourtesWillamette Dental Group, Hillsboro, OR, United States.ORCID 0009-0001-7759-5319
Urvi MehtaThe University of Texas Health Science Center, Houston, TX, United States.ORCID 0000-0002-7266-4469
Sayali TungareThe University of Texas Health Science Center, Houston, TX, United States.ORCID 0000-0001-5857-4865
David HolmesFollowApp.Care, London, United Kingdom.ORCID 0009-0003-5549-0019
Joel WhiteSchool of Dentistry, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0001-8950-697X
Muhammad WaljiThe University of Texas Health Science Center, Houston, TX, United States.ORCID 0000-0001-5306-9683
Elsbeth KalenderianSchool of Dentistry, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0002-4684-9793

Funding

Optimizing Acute Post-Operative Dental Pain Management Using New Health Information TechnologyU18HS026135 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WHITE, JOEL M · 2018 to 2020
$1.2M
AHRQ HHS U18 HS026135
6 · The paper itself

Abstract

Background: Postoperative dental pain is pervasive and can affect a patient's quality of life. Adopting a patient-centric approach to pain management involves having contemporaneous information about the patient's experience of pain and using it to personalize care. Objective: In this study, we evaluated the use of a mobile health (mHealth) platform to collect pain-related patient-reported outcomes over 7 days after the patients underwent pain-inducing dental procedures; we then relayed the information to the dentist and determined its impact on the patient's pain experience. Methods: The study used a cluster-randomized experimental study design with an intervention arm where patients were prompted to complete a series of questions relating to their pain experience after receiving automated text notifications on their smartphone on days 1, 3, 5, and 7, with the resulting information fed back to dentists, and a control arm where patients received usual care. Providers were randomized, and patients subsequently assumed the enrollment status of their providers. Providers or their staff identified eligible patients and invited them to participate in the study. Provider interviews and surveys were conducted to evaluate acceptance of the mHealth platform. Results: A total of 42 providers and 1525 patients participated. For the primary outcome (pain intensity on a 1 to 10 scale, with 10 being the most painful), intervention group patients reported an average pain intensity of 4.8 (SD 2.6), while those in the control group reported an average pain intensity of 4.7 (SD 2.8). These differences were not significant. There were also no significant differences in secondary outcomes, including pain interference with activity or sleep, patient satisfaction with pain management, or opioid prescribing. Patient surveys revealed reluctance to use the app was mostly due to technological challenges, data privacy concerns, and a preference for phone calls over texting. Providers had high satisfaction with the app and suggested integrating additional features, such as an in-system camera for patients to upload pictures and videos of the procedural site, and integration with the electronic health record system. Conclusions: While the mHealth platform did not have a significant impact on acute postoperative pain experience, patients and providers indicated improvement in patient-provider communication, patient-provider relationship, postoperative complication management, and ability to manage pain medication prescribing. Expanded collaboration between mHealth developers and frontline health care providers can facilitate the applicability of these platforms, further help improve its integration with the normal clinic workflow, and assist in moving toward a more patient-centric approach to pain management.

Indexed as

Quality of LifeTelemedicineAnalgesics, OpioidHumansPostoperative PainPractice Patterns, Physicians'Analgesics, Opioidacute paindentaldentistdentistrymHealthmobile healthpainpatient-reported outcomepatient-reported outcome measurespatient-reported outcomesPROPROMPROsrandomized controlled trialRCT

Identifiers

PMID37933185
PMCPMC10644946

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.