Evidence map›Paper›PMID 15249262›Full record

ArticleJournal of medical Internet research2004

Patient entry of information: evaluation of user interfaces.

Matthew I Kim, Kevin B Johnson

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of medical Internet research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Usability testing finds problems for novice users of pediatric portals.Journal of the American Medical Informatics Association : JAMIA
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Personal health records: a scoping review.Journal of the American Medical Informatics Association : JAMIA
    Article
  11. A research agenda for personal health records (PHRs).Journal of the American Medical Informatics Association : JAMIA
    Article
  12. Informatics challenges for the impending patient information explosion.Journal of the American Medical Informatics Association : JAMIA
    Article
  13. Triaging patients at risk of influenza using a patient portal.Journal of the American Medical Informatics Association : JAMIA
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Matthew I KimDivision of Endocrinology and Metabolism, Division of Health Sciences Informatics, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287-0003, USA. mkima@mail.jhmi.edu
Kevin B Johnson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersonal health records are web-based applications that allow patients to directly enter their own data into secure repositories in order to generate accessible profiles of medical information.

objectiveThe authors evaluated a variety of user interfaces to determine whether different types of data entry methods employed by Personal health records may have an impact on the accuracy of patient-entered medical information.

methodsPatients with disorders requiring treatment with thyroid hormone preparations were recruited to enter data into a web-based study application. The study application presented sequences of exercises that prompted free text entry, pick list selection, or radio button selection of information related to diagnoses, prescriptions, and laboratory test results. Entered data elements were compared to information abstracted from patients' clinic notes, prescription records, and laboratory test reports.

resultsAccuracy rates associated with the different data entry methods tested varied in relation to the complexity of requested information. Most of the data entry methods tested allowed for accurate entry of thyroid hormone preparation names, laboratory test names, and familiar diagnoses. Data entry methods that prompted guided abstraction of data elements from primary source documents were associated with more accurate entry of qualitative and quantitative information.

conclusionsDifferent types of data entry methods employed by Personal health records may have an impact on the accuracy of patient-entered medical information. Approaches that rely on guided entry of data elements abstracted from primary source documents may promote more accurate entry of information.

Indexed as

User-Computer InterfaceDrug Administration ScheduleDrug PrescriptionsGraves DiseaseHumansInternetMedical RecordsPatient ParticipationThyroiditis, AutoimmuneThyroxineThyroxine

Identifiers

PMID15249262
PMCPMC1550597

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Registered trials

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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.