Evidence map›Paper›PMID 24424432›Full record

ArticleJournal of medical systems2014

A roadmap for designing a personalized search tool for individual healthcare providers.

Gang Luo

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of medical systems, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  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

1 author.

Gang LuoDepartment of Biomedical Informatics, University of Utah, HSEB Room 5725B, 26 South 2000 East, Salt Lake City, UT, 84112, USA, gangluo@cs.wisc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Each year, a large percentage of people change their physicians and other individual healthcare providers (IHPs). Many of these people have difficulty identifying a replacement they like. To help people find satisfactory IHPs who are likely to be good at managing their health issues and serve their needs well, in a previous paper we proposed a high-level framework for building a personalized search tool for IHPs. There are many issues regarding designing a personalized search tool for IHPs, of which only a small portion are mentioned in our previous paper. This paper surveys various such issues that are not covered in our previous paper. We include some preliminary thoughts on how to address these issues with the hope to stimulate future research work on the new topic of personalized search for IHPs.

Indexed as

Health PersonnelQuality of Health CareAge FactorsAlgorithmsHealth ExpendituresHealth StatusHumansMental HealthPatient SatisfactionQuality Indicators, Health CareQuality of LifeSearch EngineSex FactorsSocioeconomic Factors

Identifiers

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.