Evidence map›Paper›PMID 18999181›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2008

Coupling direct collection of health risk information from patients through kiosks with decision support for proactive care management.

David F Lobach, Garry M Silvey, Janese M Willis, Kevin R Kooy, Kensaku Kawamoto, Kevin J Anstrom, Eric L Eisenstein, Fredrick Johnson

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. The Empirical Foundations of Telemedicine Interventions in Primary Care.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2016
    Pooled it
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

8 authors.

David F LobachDepartment of Community and Family Medicine, Duke University Medical Center, Durham, NC, USA.
Garry M Silvey
Janese M Willis
Kevin R Kooy
Kensaku Kawamoto
Kevin J Anstrom
Eric L Eisenstein
Fredrick Johnson

Funding

PHS HHS H2ATH00998PHS HHS H2ATH07753
6 · The paper itself

Abstract

Data collection from patients for use in clinical decision making is foundational for medical practice. Increasingly, kiosks are being used to facilitate direct data collection from patients. However, kiosk-collected data are generally not integrated into the care process. In this project, 4,014 people initiated a kiosk-administered health risk assessment questionnaire using a free-standing public-access kiosk. For 201 of these initiated sessions, kiosk users supplied a Medicaid identification number which allowed their data to be integrated into a regional health information exchange and reviewed by a standards-based clinical decision support system. This system identified 479 survey responses which had been predetermined to warrant follow-up. Notices about these sentinel responses were emailed to care managers and sent to clinical sites. While this study demonstrates the feasibility of collecting and acting on patient-entered health data, it also identifies key challenges to providing proactive care management in this manner.

Indexed as

Decision Support Systems, ClinicalHealth Status IndicatorsSurveys and QuestionnairesUser-Computer InterfaceFeasibility StudiesForms and Records ControlInformation Storage and RetrievalMedical History TakingNorth CarolinaSystems IntegrationTelemedicine

Identifiers

PMID18999181
PMCPMC2655964

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.