Evidence map›Paper›PMID 34569859›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Success Rates for the Objectives of US State Cancer Control Plans: A First Look.

Mark R Williamson

Abstract read
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. 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

1 author.

Mark R WilliamsonDepartment of Population Health, School of Medicine & Health Sciences, 3579University of North Dakota, Grand Forks, ND, USA.ORCID https://orcid.org/0000-0002-1088-7819

Funding

Tracking and Evaluation CoreU54GM128729 · NIGMS · UNIVERSITY OF NORTH DAKOTA · PI BASSON, MARC D. · 2018 to 2022
$20.3M
NIGMS NIH HHS U54 GM128729
6 · The paper itself

Abstract

backgroundA well-designed cancer control plan is an important tool for a nation, state, or community to address the burden of cancer. Furthermore, it provides the opportunity to devise and implement measurable objectives. However, there has been little to no assessment of the success rates of such objectives.

methodsI compared the success rate of objectives between US states' current plan and most recent past plan to determine the proportion of success in the United States overall. I also tested possible reasons for low success rates.

resultsThe mean success rate was 20% for stringent successes (only exact matches between plans) and 28% for loose successes (exact and similar matches between plans). The magnitude of change in percentage between the baseline and target for loose objectives significantly predicted success (P = .0347). Higher change resulted in lower success. However, neither the number of objectives nor the level of overlap significantly predicted success rate. Nor was population size, region, or rural-urban status significantly related to success rate. The most successful states had high proportions of objectives that were measurable and a high number of overlapping objectives.

conclusionI found that objective success rates were low for cancer control plans. To improve success rates, I suggest that future cancer control plans ensure each objective has a measurable baseline and realistically attainable target.

Indexed as

State GovernmentHumansNeoplasmsUnited Statesevaluationmeasurementplanningsuccess ratesUnited States

Identifiers

PMID34569859
PMCPMC8481713

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Registered trials

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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.