Evidence map›Paper›PMID 28264792›Full record

ArticleJMIR research protocols2017

Enhancing mHealth Technology in the Patient-Centered Medical Home Environment to Activate Patients With Type 2 Diabetes: A Multisite Feasibility Study Protocol.

Ronald Gimbel, Lu Shi, Joel E Williams, Cheryl J Dye, Liwei Chen, Paul Crawford, Eric A Shry, Sarah F Griffin, Karyn O Jones, Windsor W Sherrill and 5 more

Registry-linked trialAbstract read
In one paragraph

Article in JMIR research protocols, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02949037 (Enhancing mHealth Technology in the PCMH Environment to Activate Chronic Care Patients), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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.

NCT02949037 nacompletednot on this map

Enhancing mHealth Technology in the PCMH Environment to Activate Chronic Care Patients

TypeinterventionalSponsorClemson UniversityRan2017 to 2019Enrolled229ConditionsDiabetes Mellitus, Type 2ArmsMobile Health Care Environment (MHCE)
3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Patient Commitment and Its Relationship to A1C.Clinical diabetes : a publication of the American Diabetes Association · 2018
    Article
  10. Article
  11. 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

15 authors.

Ronald GimbelDepartment of Public Health Sciences, Clemson University, Clemson, SC, United States.ORCID http://orcid.org/0000-0001-8185-4013
Lu ShiDepartment of Public Health Sciences, Clemson University, Clemson, SC, United States.ORCID http://orcid.org/0000-0001-8352-2813
Joel E WilliamsDepartment of Public Health Sciences, Clemson University, Clemson, SC, United States.ORCID http://orcid.org/0000-0001-6082-8799
Cheryl J DyeDepartment of Public Health Sciences, Clemson University, Clemson, SC, United States.ORCID http://orcid.org/0000-0003-2462-8698
Liwei ChenDepartment of Public Health Sciences, Clemson University, Clemson, SC, United States.ORCID http://orcid.org/0000-0002-8458-5661
Paul CrawfordNellis Family Medicine Residency Program, Mike O'Callaghan Federal Hospital, Las Vegas, NV, United States.ORCID http://orcid.org/0000-0001-7484-8328
Eric A ShryMadigan Army Medical Center, Tacoma, WA, United States.ORCID http://orcid.org/0000-0003-2643-0634
Sarah F GriffinDepartment of Public Health Sciences, Clemson University, Clemson, SC, United States.ORCID http://orcid.org/0000-0003-4820-3985
Karyn O JonesDepartment of Public Health Sciences, Clemson University, Clemson, SC, United States.ORCID http://orcid.org/0000-0002-4057-1938
Windsor W SherrillDepartment of Public Health Sciences, Clemson University, Clemson, SC, United States.ORCID http://orcid.org/0000-0002-2399-4744
Khoa TruongDepartment of Public Health Sciences, Clemson University, Clemson, SC, United States.ORCID http://orcid.org/0000-0002-8996-4126
Jeanette R LittleMHIC Laboratory Lead, Telemedicine & Advanced Technology Research Center, U.S. Army Medical Research & Materials Command, Fort Gordon, GA, United States.ORCID http://orcid.org/0000-0001-9144-7032
Karen W EdwardsDepartment of Public Health Sciences, Clemson University, Clemson, SC, United States.ORCID http://orcid.org/0000-0003-3584-0328
Marie HingDepartment of Public Health Sciences, Clemson University, Clemson, SC, United States.ORCID http://orcid.org/0000-0003-3268-3187
Jennie B MossDepartment of Public Health Sciences, Clemson University, Clemson, SC, United States.ORCID http://orcid.org/0000-0001-7992-5716

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe potential of mHealth technologies in the care of patients with diabetes and other chronic conditions has captured the attention of clinicians and researchers. Efforts to date have incorporated a variety of tools and techniques, including Web-based portals, short message service (SMS) text messaging, remote collection of biometric data, electronic coaching, electronic-based health education, secure email communication between visits, and electronic collection of lifestyle and quality-of-life surveys. Each of these tools, used alone or in combination, have demonstrated varying degrees of effectiveness. Some of the more promising results have been demonstrated using regular collection of biometric devices, SMS text messaging, secure email communication with clinical teams, and regular reporting of quality-of-life variables. In this study, we seek to incorporate several of the most promising mHealth capabilities in a patient-centered medical home (PCMH) workflow.

objectiveWe aim to address underlying technology needs and gaps related to the use of mHealth technology and the activation of patients living with type 2 diabetes. Stated differently, we enable supporting technologies while seeking to influence patient activation and self-care activities.

methodsThis is a multisite phased study, conducted within the US Military Health System, that includes a user-centered design phase and a PCMH-based feasibility trial. In phase 1, we will assess both patient and provider preferences regarding the enhancement of the enabling technology capabilities for type 2 diabetes chronic care management. Phase 2 research will be a single-blinded 12-month feasibility study that incorporates randomization principles. Phase 2 research will seek to improve patient activation and self-care activities through the use of the Mobile Health Care Environment with tailored behavioral messaging. The primary outcome measure is the Patient Activation Measure scores. Secondary outcome measures are Summary of Diabetes Self-care Activities Measure scores, clinical measures, comorbid conditions, health services resource consumption, and technology system usage statistics.

resultsWe have completed phase 1 data collection. Formal analysis of phase 1 data has not been completed. We have obtained institutional review board approval and began phase 1 research in late fall 2016.

conclusionsThe study hypotheses suggest that patients can, and will, improve their activation in chronic care management. Improved activation should translate into improved diabetes self-care. Expected benefits of this research to the scientific community and health care services include improved understanding of how to leverage mHealth technology to activate patients living with type 2 diabetes in self-management behaviors. The research will shed light on implementation strategies in integrating mHealth into the clinical workflow of the PCMH setting.

trial registrationClinicalTrials.gov NCT02949037. https://clinicaltrials.gov/ct2/show/NCT02949037. (Archived by WebCite at http://www.webcitation.org/6oRyDzqei).

Indexed as

diabetes mellituseHealthhealth informationmHealthpatient activationpatient centered carepatient-centered medical home

Identifiers

PMID28264792
PMCPMC5359418

What Socratic 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 Socratic graph.