Evidence map›Paper›PMID 18693828›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2007

Evaluating implementation fidelity in health information technology interventions.

Eric L Eisenstein, David F Lobach, Paul Montgomery, Kensaku Kawamoto, Kevin J Anstrom

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  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

5 authors.

Eric L EisensteinDuke Clinical Research Institute, Duke University Medical Center, Durham, NC, USA.
David F Lobach
Paul Montgomery
Kensaku Kawamoto
Kevin J Anstrom

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health information technology evaluators need to distinguish between intervention efficacy as assessed in the ideal circumstances of clinical trials and intervention effectiveness as assessed in the real world circumstances of actual practice. Because current evaluation study designs do not routinely allow for this distinction, we have developed a framework for evaluation of implementation fidelity that considers health information technologies as complex interventions and makes use of common intervention components as defined in the Oxford Implementation Index. We also propose statistical methods for the evaluation of interventions at the system and component level using the Rubin Causal Model. We then describe how to apply this framework to evaluate an ongoing clinical trial of three health information technology interventions currently implemented in a 17,000 patient community-based health network caring for Medicaid beneficiaries in Durham County, North Carolina.

Indexed as

Biomedical TechnologyMedical Informatics ApplicationsPatient ComplianceEvaluation Studies as TopicHumansMedicaidNorth CarolinaRandomized Controlled Trials as TopicReminder SystemsTreatment OutcomeUnited States

Identifiers

PMID18693828
PMCPMC2655857

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.