Evidence map›Paper›PMID 26177658›Full record

SynthesisJournal of the American Medical Informatics Association : JAMIA2016

The impact of health information technology on cancer care across the continuum: a systematic review and meta-analysis.

Will L Tarver, Nir Menachemi

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. A Systematic Review of Clinical Decision Support Systems for Clinical Oncology Practice.Journal of the National Comprehensive Cancer Network : JNCCN · 2019
    Pooled it
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. The challenge of optimizing supports for people living with and beyond cancer: creating proximity between cancer and non-profit community-based providers.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. User-Centered Design Groups to Engage Patients and Caregivers with a Personalized Health Information Technology Tool.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2016
    Article
  15. 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

2 authors at 2 institutions in 1 country.

Will L TarverDoctoral Candidate, Department of Health Care Organization and Policy, University of Alabama at Birmingham, School of Public Health, Birmingham, AL, USA wltarver@uab.edu.
Nir MenachemiProfessor and Chair, Health Policy and Management, Indiana University, Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA.
Indiana University – Purdue University Indianapolis · USUniversity of Alabama at Birmingham · US

Funding

Training in Research for Behavioral Oncology and Cancer Control ProgramR25CA117865 · NCI · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI CHAMPION, VICTORIA LEE · 2006 to 2015
$4.1M
Interdisciplinary Training in Cancer Prevention and ControlT32CA117865 · NCI · INDIANA UNIVERSITY INDIANAPOLIS · PI Victoria Lee Champion, Catherine E Mosher · 2016 to 2026
$2.4M
NCI NIH HHS R25 CA04788NCI NIH HHS R25 CA117865NCI NIH HHS T32 CA117865
6 · The paper itself

Abstract

introductionHealth information technology (HIT) has the potential to play a significant role in the management of cancer. The purpose of this review is to identify and examine empirical studies that investigate the impact of HIT in cancer care on different levels of the care continuum.

methodsElectronic searches were performed in four academic databases. The authors used a three-step search process to identify 122 studies that met specific inclusion criteria. Next, a coding sheet was used to extract information from each included article to use in an analysis. Logistic regression was used to determine study-specific characteristics that were associated with positive findings.

resultsOverall, 72.4% of published analyses reported a beneficial effect of HIT. Multivariate analysis found that the impact of HIT differs across the cancer continuum with studies targeting diagnosis and treatment being, respectively, 77 (P = .001) and 39 (P = .039) percentage points less likely to report a beneficial effect when compared to those targeting prevention. In addition, studies targeting HIT to patients were 31 percentage points less likely to find a beneficial effect than those targeting providers (P = .030). Lastly, studies assessing behavior change as an outcome were 41 percentage points less likely to find a beneficial effect (P = .006), while studies targeting decision making were 27 percentage points more likely to find a beneficial effect (P = .034).

conclusionBased on current evidence, HIT interventions seem to be more successful when targeting physicians, care in the prevention phase of the cancer continuum, and/or decision making. An agenda for future research is discussed.

Indexed as

Medical InformaticsHumansMultivariate AnalysisNeoplasmsPatient Care Managementcancerhealth information technologymeta-analysissystematic review

Identifiers

PMID26177658
PMCPMC5009923
OpenAlexW2160091957

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.