Evidence map›Paper›PMID 24001876›Full record

Observational studyJournal of medical Internet research2013

New media use by patients who are homeless: the potential of mHealth to build connectivity.

Lori Ann Post, Federico E Vaca, Kelly M Doran, Cali Luco, Matthew Naftilan, James Dziura, Cynthia Brandt, Steven Bernstein, Liudvikas Jagminas, Gail D'Onofrio

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. A Telehealth Initiative to Overcome Health Care Barriers for People Experiencing Homelessness.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2021
    Article
  17. Combatting human trafficking in the United States: how can medical informatics help?Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  18. Article
  19. Article
  20. 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

10 authors.

Lori Ann PostDepartment of Emergency Medicine, Yale School of Medicine, Yale University, New Haven, CT, USA. lori.post@yale.edu
Federico E Vaca
Kelly M Doran
Cali Luco
Matthew Naftilan
James Dziura
Cynthia Brandt
Steven Bernstein
Liudvikas Jagminas
Gail D'Onofrio

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients experiencing homelessness represent a disproportionate share of emergency department (ED) visits due to poor access to primary care and high levels of unmet health care needs. This is in part due to the difficulty of communicating and following up with patients who are experiencing homelessness.

objectiveTo determine the prevalence and types of "new media" use among ED patients who experience homelessness.

methodsThis was a cross-sectional observational study with sequential enrolling of patients from three emergency departments 24/7 for 6 weeks. In total, 5788 ED patients were enrolled, of whom 249 experienced homelessness. Analyses included descriptive statistics, and unadjusted and adjusted odds ratios.

results70.7% (176/249) of patients experiencing homelessness own cell phones compared to 85.90% (4758/5539) of patients in stable housing (P=.001) with the former more likely to own Androids, 70% (53/76) versus 43.89% (1064/2424), and the latter more likely to have iPhones, 44.55% (1080/2424) versus 17% (13/76) (P=.001). There is no significant difference in new media use, modality, or frequency for both groups; however, there is a difference in contract plan with 50.02% (2380/4758) of stably housed patients having unlimited minutes versus 37.5% (66/176) of homeless patients. 19.78% (941/4758) of patients in stable housing have pay-as-you-go plans versus 33.0% (58/176) of homeless patients (P=.001). Patients experiencing homelessness are more likely to want health information on alcohol/substance abuse, mental health, domestic violence, pregnancy and smoking cessation.

conclusionsThis study is unique in its characterization of new media ownership and use among ED patients experiencing homelessness. New media is a powerful tool to connect patients experiencing homelessness to health care.

Indexed as

Ill-Housed PersonsAdolescentAdultAgedCell PhoneConnecticutCross-Sectional StudiesEmergency Service, HospitalFemaleHealth Services Needs and DemandHumansInternetMaleMiddle AgedPregnancyTelemedicineconnectivityemergency departmenthomelessnessmHealth

Identifiers

PMID24001876
PMCPMC3786002

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.