Evidence map›Paper›PMID 31713018›Full record

ArticleJournal of community health2020

Helping Men Find Their Way: Improving Prostate Cancer Clinic Attendance via Patient Navigation.

Ryan W Dobbs, James Stinson, Shaleen R Vasavada, Brandon M Caldwell, Vincent L Freeman, Daniel F Garvey, Jack Lu, Daniel M Moreira, Michael R Abern

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of community health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Addressing barriers to care for African American men facing prostate cancer: a scoping review of navigation programs.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  5. Article
  6. Article
  7. 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

9 authors.

Ryan W DobbsDepartment of Urology, College of Medicine, University of Illinois at Chicago, 820 S. Wood St, M/C 955, Chicago, 606012, USA.ORCID 0000-0003-1397-7307
James StinsonDepartment of Urology, Cook County Hospital & Health System, Chicago, USA.
Shaleen R VasavadaDepartment of Internal Medicine, College of Medicine, Baylor University, Houston, USA.
Brandon M CaldwellDepartment of Urology, College of Medicine, University of Illinois at Chicago, 820 S. Wood St, M/C 955, Chicago, 606012, USA.
Vincent L FreemanSchool of Public Health, University of Illinois at Chicago, Chicago, USA.
Daniel F GarveyDepartment of Urology, College of Medicine, University of Illinois at Chicago, 820 S. Wood St, M/C 955, Chicago, 606012, USA.
Jack LuJane Addams School of Social Work, University of Illinois at Chicago, Chicago, USA.
Daniel M MoreiraDepartment of Urology, College of Medicine, University of Illinois at Chicago, 820 S. Wood St, M/C 955, Chicago, 606012, USA.
Michael R AbernDepartment of Urology, College of Medicine, University of Illinois at Chicago, 820 S. Wood St, M/C 955, Chicago, 606012, USA. mabern1@uic.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Navigation programs aim to help patients overcome barriers to cancer diagnosis and treatment. Missed clinic appointments have undesirable effects on the patient, health system, and society, and treatment delays have been shown to result in inferior surgical cure rates for men with prostate cancer (CaP). We sought to measure the impact of patient navigation on CaP clinic adherence. Patient navigators contacted patients prior to their first encounter for known or suspected CaP between 7/1/2016 and 6/30/2017. Encounters from 7/1/2014 to 6/30/2015 were used as a historical control. Patient-variables were analyzed including age, health insurance status, home address, zip code, race, ethnicity, and referring primary care clinic. Encounter-level variables included diagnosis (categorized as known or suspected CaP), date of appointment, type of appointment [new vs. return], and provider. The associations between several factors including navigation contact and these variables with missed appointment were analyzed using generalized linear mixed effects multivariate logistic regression. A total of 2854 scheduled clinic encounters from 986 unique patients were analyzed. Patient navigation resulted in a lower missed appointment rate (8.8% vs. 13.9%, OR = 0.64, IQR 0.44-0.93, p = 0.02 on multivariable analysis). Lack of health insurance (OR = 13.18 [5.13-33.83]), suspected but not confirmed CaP diagnosis (OR = 7.44 [4.85-11.42]), and Black (1.97 [1.06-3.65]) or Hispanic (OR = 3.61 [1.42-9.16]) race, were associated with missed appointment. Implementation of patient navigation reduced missed appointment rates for CaP related ambulatory encounters. Identifying risk factors for missed appointment may aid in targeting navigation services to those most likely to benefit from this intervention.

Indexed as

Patient NavigationAdultAmbulatory CareAmbulatory Care FacilitiesAppointments and SchedulesEthnicityHispanic or LatinoHumansInsurance, HealthLogistic ModelsMaleMedical AssistanceMiddle AgedPatient ComplianceProstatic NeoplasmsAmbulatory carePatient adherencePatient navigationProstatic neoplasms

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.