Evidence map›Paper›PMID 38371228›Full record

ArticleFrontiers in pain research (Lausanne, Switzerland)2024

The Pain Intervention & Digital Research Program: an operational report on combining digital research with outpatient chronic disease management.

Melanie Fu, Joanna Shen, Cheryl Gu, Ellina Oliveira, Ellisha Shinchuk, Hannah Isaac, Zacharia Isaac, Danielle L Sarno, Jennifer L Kurz, David A Silbersweig and 2 more

Abstract read
In one paragraph

Article in Frontiers in pain research (Lausanne, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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  5. 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.

Melanie FuDepartment of Psychiatry, Brigham & Women's Hospital, Boston, MA, United States.
Joanna ShenDepartment of Physiatry, Spaulding Rehabilitation Hospital, Charlestown, MA, United States.
Cheryl GuDepartment of Physiatry, Spaulding Rehabilitation Hospital, Charlestown, MA, United States.
Ellina OliveiraDepartment of Physiatry, Spaulding Rehabilitation Hospital, Charlestown, MA, United States.
Ellisha ShinchukDepartment of Physiatry, Spaulding Rehabilitation Hospital, Charlestown, MA, United States.
Hannah IsaacDepartment of Physiatry, Spaulding Rehabilitation Hospital, Charlestown, MA, United States.
Zacharia IsaacDepartment of Physiatry, Spaulding Rehabilitation Hospital, Charlestown, MA, United States.
Danielle L SarnoDepartment of Psychiatry, Brigham & Women's Hospital, Boston, MA, United States.
Jennifer L KurzDepartment of Physiatry, Spaulding Rehabilitation Hospital, Charlestown, MA, United States.
David A SilbersweigDepartment of Psychiatry, Brigham & Women's Hospital, Boston, MA, United States.
Jukka-Pekka OnnelaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Daniel S BarronDepartment of Psychiatry, Brigham & Women's Hospital, Boston, MA, United States.

Funding

Digital Biomarkers of Movement, Emotional State, and Social Connectedness: clinically integrated tools to improve health equity in older patients with chronic painK01AG078127 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI Daniel S. Barron · 2022 to 2026
$926k
NIA NIH HHS K01 AG078127
6 · The paper itself

Abstract

Chronic pain affects up to 28% of U.S. adults, costing ∼$560 billion each year. Chronic pain is an instantiation of the perennial complexity of how to best assess and treat chronic diseases over time, especially in populations where age, medical comorbidities, and socioeconomic barriers may limit access to care. Chronic disease management poses a particular challenge for the healthcare system's transition from fee-for-service to value and risk-based reimbursement models. Remote, passive real-time data from smartphones could enable more timely interventions and simultaneously manage risk and promote better patient outcomes through predicting and preventing costly adverse outcomes; however, there is limited evidence whether remote monitoring is feasible, especially in the case of older patients with chronic pain. Here, we introduce the Pain Intervention and Digital Research (Pain-IDR) Program as a pilot initiative launched in 2022 that combines outpatient clinical care and digital health research. The Pain-IDR seeks to test whether functional status can be assessed passively, through a smartphone application, in older patients with chronic pain. We discuss two perspectives-a narrative approach that describes the clinical settings and rationale behind changes to the operational design, and a quantitative approach that measures patient recruitment, patient experience, and HERMES data characteristics. Since launch, we have had 77 participants with a mean age of 55.52, of which

Indexed as

chronic painclinical operationsdigital phenotypingfunctional statusolder (diseased) population

Identifiers

PMID38371228
PMCPMC10869590

What OpenQuestion holds

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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 OpenQuestion graph.