Abstract
It is unclear whether effective population-wide interventions that reduce risk factors and improve health result in sustained benefits to a community's health. If benefits do persist after a program is ended, interventions could be brief rather than maintained long term. To measure mortality and smoking rates in a rural community over decades before, during, and after prevention program reductions. This cross-sectional study compared smoking and mortality rates in a rural Maine county with other Maine counties over time by 5-year intervals. Multiple changes occurred between 2001 and 2015 in the physiological and behavioral risk factor reduction programs offered in the county. They included reductions in leadership, staff, institutional resources, data monitoring, and the programs themselves. Data were analyzed from May 2018 to March 2019. Previous multifaceted interventions and outcome monitoring were withdrawn or diminished in the past decade. Smoking and age-adjusted mortality rates vs household income. Reduced mortality rates in Franklin County in 1986 to 2005 reverted to those predicted by household incomes, relative to other Maine counties, by 2006 to 2015 (1986-1990 T score = -2.86 [P = .01] and 2001-2005 T score = -3.00 [P = .01] to 2006 to 2010 T score = -0.43 [P = .67] and 2011-2015 T score = -0.72 [P = .48]). Analysis of County Health Rankings data from 2010 to 2018 also showed that Franklin County's outcomes have reverted to no better than predicted by socioeconomic status. The county's T scores increased from -3.62 (P = .003) in 2010 to -0.41 (P = .69) in 2015 to 0.13 (P = .90) in 2018. Statewide association of income with mortality by analyses of variance showed that the R2 values have increased from the decades preceding 2000 (1976-1980, R2 = 0.21; P = .08; 1986-1990, R2 = 0.32; P = .02) to 2006 to 2010 (R2 = 0.73; P < .001) and 2011 to 2015 (R2 = 0.70; P < .001). This study suggests that gains associated with population health interventions may be lost when the interventions are reduced. Adjusting outcome measures for socioeconomic status may allow quicker and more sensitive monitoring of intervention adequacy and success. The increasing trend of age-adjusted mortality in Maine and nationally to correlate inversely with incomes may warrant further community interventions, especially for poorer populations.
Highlights
Preventive interventions to reduce morbidity, mortality, and health care costs, especially from cardiovascular disease, have been tried in diverse communities.[1]
Reduced mortality rates in Franklin County in 1986 to 2005 reverted to those predicted by household incomes, relative to other Maine counties, by 2006 to 2015 (1986-1990 T score = −2.86 [P = .01] and 2001-2005 T score = −3.00 [P = .01] to 2006 to 2010 T score = −0.43 [P = .67] and 2011-2015 T score = −0.72 [P = .48])
This study suggests that gains associated with population health interventions may be lost when the interventions are reduced
Summary
Preventive interventions to reduce morbidity, mortality, and health care costs, especially from cardiovascular disease, have been tried in diverse communities.[1]. That report tracked existing county vital statistics, rates of smoking cessation, and control of hypertension and high cholesterol up to 2010 and extended prior mortality observations.[13] The study adjusted mortality and hospitalization rates by household income, a measure of socioeconomic status (SES). Those efforts were associated with coincident morbidity and mortality improvements when compared with all other Maine counties, especially when adjusted for income
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