Department of Population Health, School of Medicine & Health Sciences, 3579University of North Dakota, Grand Forks, ND, USA.
Cancer Control. 2021 Jan-Dec;28:10732748211041504. doi: 10.1177/10732748211041504.
A 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.
I 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.
The 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.
I 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.
精心设计的癌症控制计划是国家、州或社区应对癌症负担的重要工具。此外，它还为制定和实施可衡量的目标提供了机会。然而，对于这些目标的成功率评估很少。
我比较了美国各州当前计划和最近一次计划中目标的成功率，以确定美国整体的成功率。我还测试了低成功率的可能原因。
严格成功（仅计划之间的精确匹配）的平均成功率为 20%，宽松成功（计划之间的精确和相似匹配）的成功率为 28%。宽松目标的基准和目标之间百分比变化的幅度显著预测了成功（P =.0347）。变化幅度越大，成功率越低。然而，目标数量和重叠程度均未显著预测成功率。人口规模、地区或城乡地位也与成功率没有显著关系。最成功的州有很高比例的可衡量的目标和大量重叠的目标。
我发现癌症控制计划的目标成功率较低。为了提高成功率，我建议未来的癌症控制计划确保每个目标都有一个可衡量的基线和现实可行的目标。
