Evidence map›Paper›PMID 24963895›Full record

ReviewPreventive medicine2014

Aligning health information technologies with effective service delivery models to improve chronic disease care.

Amy M Bauer, Stephen M Thielke, Wayne Katon, Jürgen Unützer, Patricia Areán

Abstract readReview
In one paragraph

Review in Preventive medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 3 pooled it
–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

46 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Participation, Retention, and Utilization of a Web-Based Chronic Disease Self-Management Intervention Among Older Adults.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2019
    Trial
  5. National and Subnational Models of Care That Support Primary Health Care: A Mixed-Methods Study.The International journal of health planning and management · 2026
    Article
  6. Article
  7. Review
  8. Proceedings of the ACM on human-computer interaction · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. The value of mHealth for managing chronic conditions.Health care management science · 2020
    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

5 authors.

Amy M BauerDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States. Electronic address: abauer1@uw.edu.
Stephen M ThielkeDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.
Wayne KatonDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.
Jürgen UnützerDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States.
Patricia AreánDepartment of Psychiatry, University of California, San Francisco, United States.

Funding

Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
Institute of Translational Health SciencesKL2TR000421 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$12.6M
Treating Depression in Low-Income Elderly with CIND/AMCIK24MH074717 · NIMH · UNIVERSITY OF WASHINGTON · PI AREAN, PATRICIA A. · 2005 to 2016
$1.7M
Can Metal Health Apps Work in the Real World? A Feasibility Pilot StudyR34MH100466 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANGUERA, JOAQUIN A, GAZZALEY, ADAM H · 2013 to 2015
$818k
NCATS NIH HHS KL2 TR000421NCATS NIH HHS KL2TR000421NCATS NIH HHS UL1 TR000423NIMHD NIH HHS L60 MD003310NIMH NIH HHS K242MH074717NIMH NIH HHS K24 MH074717NIMH NIH HHS R34 MH100466
6 · The paper itself

Abstract

objectiveHealthcare reforms in the United States, including the Affordable Care and HITECH Acts, and the NCQA criteria for the Patient Centered Medical Home have promoted health information technology (HIT) and the integration of general medical and mental health services. These developments, which aim to improve chronic disease care, have largely occurred in parallel, with little attention to the need for coordination. In this article, the fundamental connections between HIT and improvements in chronic disease management are explored. We use the evidence-based collaborative care model as an example, with attention to health literacy improvement for supporting patient engagement in care.

methodA review of the literature was conducted to identify how HIT and collaborative care, an evidence-based model of chronic disease care, support each other.

resultsFive key principles of effective collaborative care are outlined: care is patient-centered, evidence-based, measurement-based, population-based, and accountable. The potential role of HIT in implementing each principle is discussed. Key features of the mobile health paradigm are described, including how they can extend evidence-based treatment beyond traditional clinical settings.

conclusionHIT, and particularly mobile health, can enhance collaborative care interventions, and thus improve the health of individuals and populations when deployed in integrated delivery systems.

Indexed as

Medical InformaticsMedical Informatics ApplicationsQuality Assurance, Health CareChronic DiseaseCooperative BehaviorDelivery of Health CareDisease ManagementEvidence-Based PracticeHumansModels, OrganizationalUnited StatesCommunity health servicesDelivery of health careHealth information technologyMental health servicesPatient care managementPrimary health care

Identifiers

PMID24963895
PMCPMC4137765

What OpenQuestion holds

Textmetadata
LicenceTDM
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.