Evidence map›Paper›PMID 38848062›Full record

ArticleJAMA network open2024

Access to New Clinic Appointments for Patients With Cancer.

Debbie W Chen, Mousumi Banerjee, Brittany Gay, Yi-Chun Wang, Lesley Miranda, Maya Watanabe, Christine M Veenstra, Megan R Haymart

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Debbie W ChenDivision of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor.
Mousumi BanerjeeDepartment of Biostatistics, University of Michigan, Ann Arbor.
Brittany GayDivision of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor.
Yi-Chun WangSchool of Public Health, University of Michigan, Ann Arbor.
Lesley MirandaDivision of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor.
Maya WatanabeCenter for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Christine M VeenstraDivision of Hematology and Oncology, University of Michigan, Ann Arbor.
Megan R HaymartDivision of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor.

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 1988 to 2026
$178.2M
TRAINING PROGRAM IN ENDOCRINOLOGY AND METABOLISM.T32DK007245 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RICHARD J. AUCHUS · 1986 to 2026
$7.2M
Optimization of Thyroid Nodule Care Delivery to Reduce the Burden of Thyroid CancerK08CA273047 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Debbie Wan Hua Chen · 2023 to 2026
$730k
NCI NIH HHS K08 CA273047NCI NIH HHS P30 CA046592NIDDK NIH HHS T32 DK007245
6 · The paper itself

Abstract

Importance: Racial and ethnic disparities have been observed in the outpatient visit rates for specialist care, including cancer care; however, little is known about patients' experience at the critical step of attempting to access new clinic appointments for cancer care. Objective: To determine simulated English-speaking, Spanish-speaking, and Mandarin-speaking patient callers' ability to access new clinic appointments for 3 cancer types (colon, lung, and thyroid cancer) that disproportionately impact Hispanic and Asian populations. Design, Setting, and Participants: This cross-sectional audit study was conducted between November 2021 and March 2023 using 479 clinic telephone numbers that were provided by the hospital general information personnel at 143 hospitals located across 12 US states. Using standardized scripts, trained research personnel assigned to the roles of English-speaking, Spanish-speaking, and Mandarin-speaking patients called the telephone number for a clinic that treats colon, lung, or thyroid cancer to inquire about a new clinic appointment. Data analysis was conducted from June to September 2023. Main Outcomes and Measures: The primary outcome was whether the simulated patient caller was able to access cancer care (binary variable, yes or no), which was defined to include being provided with a clinic appointment date or scheduling information. Multivariable logistic regression analysis was performed to determine factors independently associated with simulated patient callers being able to access cancer care. Results: Of 985 total calls (399 English calls; 302 Spanish calls; 284 Mandarin calls), simulated patient callers accessed cancer care in 409 calls (41.5%). Differences were observed based on language type, with simulated English-speaking patient callers significantly more likely to access cancer care compared with simulated Spanish-speaking and Mandarin-speaking patient callers (English, 245 calls [61.4%]; Spanish, 110 calls [36.4%]; Mandarin, 54 calls [19.0%]; P < .001). A substantial number of calls ended due to linguistic barriers (291 of 586 Spanish or Mandarin calls [49.7%]) and workflow barriers (239 of 985 calls [24.3%]). Compared with English-speaking simulated patient callers, the odds of accessing cancer care were lower for Spanish-speaking simulated patient callers (adjusted odds ratio [aOR], 0.34; 95% CI, 0.25-0.46) and Mandarin-speaking simulated patient callers (aOR, 0.13; 95% CI, 0.09-0.19). Compared with contacting clinics affiliated with teaching hospitals, callers had lower odds of accessing cancer care when contacting clinics that were affiliated with nonteaching hospitals (aOR, 0.53; 95% CI, 0.40-0.70). Conclusions and Relevance: In this cross-sectional audit study, simulated patient callers encountered substantial barriers when attempting to access clinic appointments for cancer care. These findings suggest that interventions focused on mitigating these barriers are necessary to increase access to cancer care for all patients.

Indexed as

Appointments and SchedulesHealthcare DisparitiesHealth Services AccessibilityNeoplasmsAdultAgedAsianColonic NeoplasmsCommunication BarriersCross-Sectional StudiesFemaleHispanic or LatinoHumansLanguageLung NeoplasmsMale

Identifiers

PMID38848062
PMCPMC11161839

What OpenQuestion holds

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LicenceCC BY
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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.