Evidence map›Paper›PMID 24432922›Full record

ArticleAmerican journal of public health2014

Government leadership in addressing public health priorities: strides and delays in electronic laboratory reporting in the United States.

Rebecca Tave Gluskin, Maushumi Mavinkurve, Jay K Varma

Abstract read
In one paragraph

Article in American journal of public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Automated digital reporting of clinical laboratory information to national public health surveillance systems, results of a EU/EEA survey, 2018.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2020
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

3 authors.

Rebecca Tave GluskinRebecca Tave Gluskin and Maushumi Mavinkurve are with the Division of Informatics, Information Technology, and Telecommunications, and Jay K. Varma is with the Division of Disease Control, New York City Department of Health and Mental Hygiene, New York, NY.
Maushumi Mavinkurve
Jay K Varma

Funding

NCHM CDC HHS 3U38HM000414-04W1NCHM CDC HHS U38 HM000414
6 · The paper itself

Abstract

For nearly a decade, interest groups, from politicians to economists to physicians, have touted digitization of the nation's health information. One frequently mentioned benefit is the transmission of information electronically from laboratories to public health personnel, allowing them to rapidly analyze and act on these data. Switching from paper to electronic laboratory reports (ELRs) was thought to solve many public health surveillance issues, including workload, accuracy, and timeliness. However, barriers remain for both laboratories and public health agencies to realize the full benefits of ELRs. The New York City experience highlights several successes and challenges of electronic reporting and is supported by peer-reviewed literature. Lessons learned from ELR systems will benefit efforts to standardize electronic medical records reporting to health departments.

Indexed as

Clinical Laboratory Information SystemsDiffusion of InnovationLeadershipLocal GovernmentMandatory ReportingPublic Health PracticeElectronic Health RecordsHumansNew York CityPopulation SurveillanceSystems IntegrationTime Factors

Identifiers

PMID24432922
PMCPMC3953791

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.