Evidence map›Paper›PMID 39444505›Full record

ArticleLearning health systems2024

Leveraging public health cancer surveillance capacity to develop and support a rural cancer network.

Jason Semprini, Ingrid M Lizarraga, Aaron T Seaman, Erin C Johnson, Madison M Wahlen, Jessica S Gorzelitz, Sarah A Birken, Mary C Schroeder, Tarah Paulus, Mary E Charlton

Abstract read
In one paragraph

Article in Learning health systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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.

Jason SempriniDepartment of Epidemiology University of Iowa College of Public Health Iowa City Iowa USA.ORCID https://orcid.org/0000-0002-0375-8090
Ingrid M LizarragaDepartment of Surgery University of Iowa Carver College of Medicine Iowa City Iowa USA.
Aaron T SeamanDepartment of Internal Medicine University of Iowa Carver College of Medicine Iowa City Iowa USA.
Erin C JohnsonUniversity of Iowa Tippie College of Business Iowa City Iowa USA.
Madison M WahlenDepartment of Epidemiology University of Iowa College of Public Health Iowa City Iowa USA.
Jessica S GorzelitzDepartment of Health and Human Physiology University of Iowa College of Liberal Arts and Sciences Iowa City Iowa USA.
Sarah A BirkenDepartment of Implementation Science Wake Forest University School of Medicine Iowa City Iowa USA.
Mary C SchroederDepartment of Pharmacy Practice and Science University of Iowa College of Pharmacy Iowa City Iowa USA.
Tarah PaulusDepartment of Surgery University of Iowa Carver College of Medicine Iowa City Iowa USA.
Mary E CharltonDepartment of Epidemiology University of Iowa College of Public Health Iowa City Iowa USA.

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Christopher K Laubenthal · 2000 to 2026
$70.0M
Medical Scientist Training ProgramT32GM139776 · NIGMS · UNIVERSITY OF IOWA · PI Gordon F Buchanan · 2021 to 2026
$6.4M
Effectiveness and implementation of a health system intervention to improve quality of cancer care for rural, underserved patientsR01CA254628 · NCI · UNIVERSITY OF IOWA · PI CHARLTON, MARY E. · 2021 to 2025
$3.6M
NCI NIH HHS HHSN261201800012INCI NIH HHS P30 CA086862NCI NIH HHS R01 CA254628NIGMS NIH HHS T32 GM139776
6 · The paper itself

Abstract

Introduction: As the rural-urban cancer mortality gap widens, centering care around the needs of rural patients presents an opportunity to advance equity. One barrier to delivering patient-centered care at rural hospitals stems from limited analytic capacity to leverage data and monitor patient outcomes. This case study describes the experience of a public health cancer surveillance system aiming to fill this gap within the context of a rural cancer network. Methods: To support the implementation of a novel network model intervention in Iowa, the Iowa Cancer Registry began generating hospital-specific and catchment area reports. Then, the Iowa Cancer Registry supported adapting the network model to fit the context of Iowa's cancer care delivery system by performing data monitoring and reporting functions. Informed by a gap analysis, the Iowa Cancer Registry then identified which quality accreditation standards could be achieved with public health surveillance data and analytic support. Results: The network intervention in Iowa supported 5 rural cancer centers across the state, each concurrently pursuing quality accreditation standards. The Iowa Cancer Registry's hospital and catchment-specific reports illuminated the cancer burden and needs of rural cancer centers within the network. Our team identified 19 (of the 36 total) quality standards that can be supported by public health surveillance functions typically performed by the registry. These standards encompassed data-driven quality improvement, patient monitoring, and reporting guideline-concordant care standards. Conclusions: As rural hospitals continue to face resource constraints, multisectoral efforts informed by data from centralized public health surveillance systems can promote quality improvement initiatives across rural communities. While our work remains preliminary, we predict that analytic support provided by the Iowa Cancer Registry will enable the rural network hospitals to focus their capacity toward developing the infrastructure necessary to deliver high-quality care and serve the unique needs of rural cancer patients.

Indexed as

cancernetworksqualityruralsurveillance

Identifiers

PMID39444505
PMCPMC11493549

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.