Evidence map›Paper›PMID 37749529›Full record

ArticleInternational journal for equity in health2023

Factors associated with mobile medical clinic use: a retrospective cohort study.

Angela Coaston, Soo-Jeong Lee, Julene K Johnson, Sandra Weiss, Thomas Hoffmann, Caroline Stephens

Abstract read
In one paragraph

Article in International journal for equity in health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. No Roadblocks: How Mobile Primary Care Navigates Barriers to Health Access.International journal of environmental research and public health · 2026
    Article
  2. Increased Density of Mobile Health Unit Encounters Among Primary Care Health Professional Shortage Areas.International journal of environmental research and public health · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Heat-Related Health Risks for People Experiencing Homelessness: A Rapid Review.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
    Review
  9. 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

6 authors.

Angela CoastonCalifornia Baptist University, College of Nursing, 8432 Magnolia Ave, Riverside, Ca, 92504, USA. acoaston@calbaptist.edu.
Soo-Jeong LeeUniversity of California, San Francisco, CA, 94143, USA.
Julene K JohnsonUniversity of California, San Francisco, CA, 94143, USA.
Sandra WeissUniversity of California, San Francisco, CA, 94143, USA.
Thomas HoffmannUniversity of California, San Francisco, CA, 94143, USA.
Caroline StephensUniversity of Utah, Salt Lake City, UT, 84112, USA.

Funding

Improving Palliative Care Access Through Technology (ImPAcTT): A Multi-Component Pilot StudyK76AG054862 · NIA · UNIVERSITY OF UTAH · PI STEPHENS, CAROLINE · 2017 to 2021
$1.2M
NIA NIH HHS K76 AG054862NIOSH CDC HHS T42 OH008429
6 · The paper itself

Abstract

backgroundMobile medical clinics have been used for decades to provide primary and preventive care to underserved populations. While several studies have examined their return on investment and impact on chronic disease management outcomes in the Mid-Atlantic and East Coast regions of the United States, little is known about the characteristics and clinical outcomes of adults who receive care aboard mobile clinics on the West Coast region. Guided by the Anderson Behavioral Model, this study describes the predisposing, enabling, and need factors associated with mobile medical clinic use among mobile medical clinic patients in Southern California and examines the relationship between mobile clinic utilization and presence and control of diabetes and hypertension.

methodsWe conducted a retrospective cohort study of 411 adults who received care in four mobile clinic locations in Southern California from January 1, 2018, to December 31, 2019. Data were collected from patient charts on predisposing (e.g., sex, race, age), enabling (e.g., insurance and housing status), and need (e.g., chronic illness) factors based on Andersen's Behavioral Model. Zero-truncated negative binomial regression was used to examine the association of chronic illness (hypertension and diabetes) with number of clinic visits, accounting for potential confounding factors.

resultsOver the course of the 2-year study period, 411 patients made 1790 visits to the mobile medical clinic. The majority of patients were female (68%), Hispanic (78%), married (47%), with a mean age of 50 (SD = 11). Forty-four percent had hypertension and 29% had diabetes. Frequency of mobile clinic utilization was significantly associated with chronic illness. Patients with hypertension and diabetes had 1.22 and 1.61 times the rate of mobile medical clinic visit than those without those conditions, respectively (IRR = 1.61, 95% CI, 1.36-1.92; 1.22, 95% CI, 1.02-1.45).

conclusionsMobile clinics serve as an important system of health care delivery, especially for adults with uncontrolled diabetes and hypertension.

Indexed as

HypertensionMobile Health UnitsAdultAmbulatory CareAmbulatory Care FacilitiesFemaleHumansMaleMiddle AgedRetrospective StudiesAccess to health careAndersen’s behavioral modelChronic diseaseMobile clinicsUtilization

Identifiers

PMID37749529
PMCPMC10521435

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.