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Researchers find that different factors contribute to the variation of mortality rates from state to county across the U.S. for certain cancer types.

Cancer death rates in the U.S. declined by 20% between 1980 and 2014, but not everywhere:  In 160 counties, mortality rose substantially during the same time, according to University of Washington researchers. And those weren’t the only striking variations they found.

The researchers analyzed data on deaths from 29 cancer types. Deaths dropped from about 240 per 100,000 people in 1980 to 192 per 100,000 in 2014. But the researchers say they found “stark” disparities. In 2014, the county with the highest overall cancer mortality had about 7 times as many cancer deaths per 100,000 residents as the county with the lowest overall cancer mortality. For many cancers there were distinct clusters of counties in different regions with especially high mortality, such as in Kentucky, West Virginia, and Alabama.

Related: Major Cancer Death Rates Are Down

The pattern of changes across counties also varied tremendously by type, the researchers say. For instance, breast, cervical, prostate, testicular, and other cancers, mortality rates declined in nearly all counties, whereas liver cancer and mesothelioma increased in nearly all counties.

Previous reports on geographic differences in cancer mortality have focused on variation by state, the researchers say. But the local patterns they found would have been masked by a national or state number. Their innovative approach to aggregating and analyzing the data at the county level has value, they note, because “public health programs and policies are mainly designed and implemented at the local level.”

Related: Demographic and Clinical Characteristics of Patients With Polycythemia Vera (PV) in the U.S. Veterans Population

The policy response from the public health and medical care communities, the researchers add, depends on “parsing these trends into component factors”: trends driven by known risk factors, unexplained trends in incidence, cancers for which screening and early detection can make a major difference, and cancers for which high-quality treatment can make a major difference. Local information, the researchers point out, can be useful for health care practitioners to understand community needs for care and aid in identifying “cancer hot spots” that need more investigation.

In an article for the National Cancer Institute’s newsletter, Eric Durbin, DPh, director of cancer informatics for the Kentucky Cancer Registry at the University of Kentucky Markey Cancer Center, cautioned against basing too many assumptions on local data, especially in rural, sparsely populated areas where small number changes can translate into giant percentages. “We really have no other way to guide cancer prevention and control activities other than using [that] data. Otherwise, you’re just throwing money or resources at a problem without any way to measure the impact,” added Durbin.

Sources:

  1. National Cancer Institute. U.S. cancer mortality rates falling, but some regions left behind, study finds. https://www.cancer.gov/news-events/cancer-currents-blog/2017/cancer-death-disparities. Published February 21, 2017. Accessed March 15, 2017. 
  2. Mokdad AH, Dwyer-Lindgren L, Fitzmaurice C, et al. JAMA. 2017;317(4):388-406.
    doi: 10.1001/jama.2016.20324.
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Researchers find that different factors contribute to the variation of mortality rates from state to county across the U.S. for certain cancer types.
Researchers find that different factors contribute to the variation of mortality rates from state to county across the U.S. for certain cancer types.

Cancer death rates in the U.S. declined by 20% between 1980 and 2014, but not everywhere:  In 160 counties, mortality rose substantially during the same time, according to University of Washington researchers. And those weren’t the only striking variations they found.

The researchers analyzed data on deaths from 29 cancer types. Deaths dropped from about 240 per 100,000 people in 1980 to 192 per 100,000 in 2014. But the researchers say they found “stark” disparities. In 2014, the county with the highest overall cancer mortality had about 7 times as many cancer deaths per 100,000 residents as the county with the lowest overall cancer mortality. For many cancers there were distinct clusters of counties in different regions with especially high mortality, such as in Kentucky, West Virginia, and Alabama.

Related: Major Cancer Death Rates Are Down

The pattern of changes across counties also varied tremendously by type, the researchers say. For instance, breast, cervical, prostate, testicular, and other cancers, mortality rates declined in nearly all counties, whereas liver cancer and mesothelioma increased in nearly all counties.

Previous reports on geographic differences in cancer mortality have focused on variation by state, the researchers say. But the local patterns they found would have been masked by a national or state number. Their innovative approach to aggregating and analyzing the data at the county level has value, they note, because “public health programs and policies are mainly designed and implemented at the local level.”

Related: Demographic and Clinical Characteristics of Patients With Polycythemia Vera (PV) in the U.S. Veterans Population

The policy response from the public health and medical care communities, the researchers add, depends on “parsing these trends into component factors”: trends driven by known risk factors, unexplained trends in incidence, cancers for which screening and early detection can make a major difference, and cancers for which high-quality treatment can make a major difference. Local information, the researchers point out, can be useful for health care practitioners to understand community needs for care and aid in identifying “cancer hot spots” that need more investigation.

In an article for the National Cancer Institute’s newsletter, Eric Durbin, DPh, director of cancer informatics for the Kentucky Cancer Registry at the University of Kentucky Markey Cancer Center, cautioned against basing too many assumptions on local data, especially in rural, sparsely populated areas where small number changes can translate into giant percentages. “We really have no other way to guide cancer prevention and control activities other than using [that] data. Otherwise, you’re just throwing money or resources at a problem without any way to measure the impact,” added Durbin.

Sources:

  1. National Cancer Institute. U.S. cancer mortality rates falling, but some regions left behind, study finds. https://www.cancer.gov/news-events/cancer-currents-blog/2017/cancer-death-disparities. Published February 21, 2017. Accessed March 15, 2017. 
  2. Mokdad AH, Dwyer-Lindgren L, Fitzmaurice C, et al. JAMA. 2017;317(4):388-406.
    doi: 10.1001/jama.2016.20324.

Cancer death rates in the U.S. declined by 20% between 1980 and 2014, but not everywhere:  In 160 counties, mortality rose substantially during the same time, according to University of Washington researchers. And those weren’t the only striking variations they found.

The researchers analyzed data on deaths from 29 cancer types. Deaths dropped from about 240 per 100,000 people in 1980 to 192 per 100,000 in 2014. But the researchers say they found “stark” disparities. In 2014, the county with the highest overall cancer mortality had about 7 times as many cancer deaths per 100,000 residents as the county with the lowest overall cancer mortality. For many cancers there were distinct clusters of counties in different regions with especially high mortality, such as in Kentucky, West Virginia, and Alabama.

Related: Major Cancer Death Rates Are Down

The pattern of changes across counties also varied tremendously by type, the researchers say. For instance, breast, cervical, prostate, testicular, and other cancers, mortality rates declined in nearly all counties, whereas liver cancer and mesothelioma increased in nearly all counties.

Previous reports on geographic differences in cancer mortality have focused on variation by state, the researchers say. But the local patterns they found would have been masked by a national or state number. Their innovative approach to aggregating and analyzing the data at the county level has value, they note, because “public health programs and policies are mainly designed and implemented at the local level.”

Related: Demographic and Clinical Characteristics of Patients With Polycythemia Vera (PV) in the U.S. Veterans Population

The policy response from the public health and medical care communities, the researchers add, depends on “parsing these trends into component factors”: trends driven by known risk factors, unexplained trends in incidence, cancers for which screening and early detection can make a major difference, and cancers for which high-quality treatment can make a major difference. Local information, the researchers point out, can be useful for health care practitioners to understand community needs for care and aid in identifying “cancer hot spots” that need more investigation.

In an article for the National Cancer Institute’s newsletter, Eric Durbin, DPh, director of cancer informatics for the Kentucky Cancer Registry at the University of Kentucky Markey Cancer Center, cautioned against basing too many assumptions on local data, especially in rural, sparsely populated areas where small number changes can translate into giant percentages. “We really have no other way to guide cancer prevention and control activities other than using [that] data. Otherwise, you’re just throwing money or resources at a problem without any way to measure the impact,” added Durbin.

Sources:

  1. National Cancer Institute. U.S. cancer mortality rates falling, but some regions left behind, study finds. https://www.cancer.gov/news-events/cancer-currents-blog/2017/cancer-death-disparities. Published February 21, 2017. Accessed March 15, 2017. 
  2. Mokdad AH, Dwyer-Lindgren L, Fitzmaurice C, et al. JAMA. 2017;317(4):388-406.
    doi: 10.1001/jama.2016.20324.
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