Evidence map›Paper›PMID 19261937›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Health IT-enabled care for underserved rural populations: the role of nursing.

Judith A Effken, Patricia Abbott

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.0field-weighted citation impact, top 5% of its field
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

8 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. Observational
  3. Article
  4. Article
  5. An evaluation of telehealth expansion in U.S. nursing homes.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  6. Physical activity behavior, barriers to activity, and opinions about a smartphone-based physical activity intervention among rural residents.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2015
    Article
  7. Article
  8. Using mHealth Tools to Improve Rural Diabetes Care Guided by the Chronic Care Model.Online journal of rural nursing and health care : the official journal of the Rural Nurse Organization
    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

2 authors at 2 institutions in 1 country.

Judith A EffkenThe University of Arizona College of Nursing, Tucson, AZ, USA. effken@nursing.arizona.edu
Patricia Abbott
Johns Hopkins University · USUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This white paper explains the strong roles that nursing can play in using information technology (IT) to improve healthcare delivery in rural areas. The authors describe current challenges to providing care in rural areas, and how technology innovations can help rural communities to improve their health and health care. To maximize benefits, rural stakeholders (as individuals and groups) must collaborate to effect change. Because nonphysician providers deliver much of the health care in rural communities, this paper focuses on the critical roles of nurses on IT-enabled caremanagement teams. The authors propose changes in nursing practice, policy, and education to better prepare, encourage, and enable nurses to assume leadership roles in IT-enabled health care management in rural communities.

Indexed as

InformaticsMedically Underserved AreaNurse's RoleDelivery of Health CareHumansMedical Records Systems, ComputerizedPatient Care TeamRural Health ServicesUnited StatesWorkforce

Identifiers

PMID19261937
PMCPMC2705245
OpenAlexW2133882218

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.