Effect of the California Tobacco Control Program on Personal Health Care Expenditures
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{"title"=>"Effect of the California tobacco control program on personal health care expenditures", "type"=>"journal", "authors"=>[{"first_name"=>"James M.", "last_name"=>"Lightwood", "scopus_author_id"=>"6508259391"}, {"first_name"=>"Alexis", "last_name"=>"Dinno", "scopus_author_id"=>"16678662600"}, {"first_name"=>"Stanton A.", "last_name"=>"Glantz", "scopus_author_id"=>"7103220592"}], "year"=>2008, "source"=>"PLoS Medicine", "identifiers"=>{"pmid"=>"18752344", "doi"=>"10.1371/journal.pmed.0050178", "sgr"=>"50949094838", "isbn"=>"1549-1676 (Electronic)", "scopus"=>"2-s2.0-50949094838", "issn"=>"15491277", "pui"=>"352273430"}, "id"=>"c1bfde32-0c7a-36f6-9fed-8f16336f5236", "abstract"=>"BACKGROUND: Large state tobacco control programs have been shown to reduce smoking and would be expected to affect health care costs. We investigate the effect of California's large-scale tobacco control program on aggregate personal health care expenditures in the state. METHODS AND FINDINGS: Cointegrating regressions were used to predict (1) the difference in per capita cigarette consumption between California and 38 control states as a function of the difference in cumulative expenditures of the California and control state tobacco control programs, and (2) the relationship between the difference in cigarette consumption and the difference in per capita personal health expenditures between the control states and California between 1980 and 2004. Between 1989 (when it started) and 2004, the California program was associated with $86 billion (2004 US dollars) (95% confidence interval [CI] $28 billion to $151 billion) lower health care expenditures than would have been expected without the program. This reduction grew over time, reaching 7.3% (95% CI 2.7%-12.1%) of total health care expenditures in 2004. CONCLUSIONS: A strong tobacco control program is not only associated with reduced smoking, but also with reductions in health care expenditures.", "link"=>"http://www.mendeley.com/research/effect-california-tobacco-control-program-personal-health-care-expenditures-1", "reader_count"=>32, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>1, "Researcher"=>9, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>6, "Student > Master"=>5, "Other"=>5, "Student > Bachelor"=>3, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>1, "Researcher"=>9, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>6, "Student > Master"=>5, "Other"=>5, "Student > Bachelor"=>3, "Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Engineering"=>1, "Environmental Science"=>1, "Medicine and Dentistry"=>13, "Agricultural and Biological Sciences"=>3, "Social Sciences"=>8, "Computer Science"=>1, "Economics, Econometrics and Finance"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>13}, "Social Sciences"=>{"Social Sciences"=>8}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Computer Science"=>{"Computer Science"=>1}, "Unspecified"=>{"Unspecified"=>4}, "Environmental Science"=>{"Environmental Science"=>1}}, "reader_count_by_country"=>{"United States"=>3, "Japan"=>1, "United Kingdom"=>1}, "group_count"=>5}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/475299", "https://ndownloader.figshare.com/files/475353", "https://ndownloader.figshare.com/files/475425", "https://ndownloader.figshare.com/files/475521", "https://ndownloader.figshare.com/files/475580", "https://ndownloader.figshare.com/files/475644", "https://ndownloader.figshare.com/files/475713", "https://ndownloader.figshare.com/files/475778"], "description"=>"<div><h3>Background</h3><p>Large state tobacco control programs have been shown to reduce smoking and would be expected to affect health care costs. We investigate the effect of California's large-scale tobacco control program on aggregate personal health care expenditures in the state.</p> <h3>Methods and Findings</h3><p>Cointegrating regressions were used to predict (1) the difference in per capita cigarette consumption between California and 38 control states as a function of the difference in cumulative expenditures of the California and control state tobacco control programs, and (2) the relationship between the difference in cigarette consumption and the difference in per capita personal health expenditures between the control states and California between 1980 and 2004. Between 1989 (when it started) and 2004, the California program was associated with $86 billion (2004 US dollars) (95% confidence interval [CI] $28 billion to $151 billion) lower health care expenditures than would have been expected without the program. This reduction grew over time, reaching 7.3% (95% CI 2.7%–12.1%) of total health care expenditures in 2004.</p> <h3>Conclusions</h3><p>A strong tobacco control program is not only associated with reduced smoking, but also with reductions in health care expenditures.</p> </div>", "links"=>[], "tags"=>["california", "expenditures"], "article_id"=>153640, "categories"=>["Biotechnology"], "users"=>["James M Lightwood", "Alexis Dinno", "Stanton A Glantz"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.0050178.sd001", "https://dx.doi.org/10.1371/journal.pmed.0050178.sd002", "https://dx.doi.org/10.1371/journal.pmed.0050178.sd003", "https://dx.doi.org/10.1371/journal.pmed.0050178.sd004", "https://dx.doi.org/10.1371/journal.pmed.0050178.sd005", "https://dx.doi.org/10.1371/journal.pmed.0050178.sd006", "https://dx.doi.org/10.1371/journal.pmed.0050178.st001", "https://dx.doi.org/10.1371/journal.pmed.0050178.sd007"], "stats"=>{"downloads"=>28, "page_views"=>36, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Effect_of_the_California_Tobacco_Control_Program_on_Personal_Health_Care_Expenditures/153640", "title"=>"Effect of the California Tobacco Control Program on Personal Health Care Expenditures", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2008-08-26 01:00:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/922558"], "description"=>"<p>The observed (dots) and predicted personal health care expenditures (top graph) and difference in cigarette consumption between the control states and California (bottom graph) with (darker lines) and without (lighter lines) tobacco control expenditures show that the program had a substantial effect on both variables. The dynamic predictions of per capita California health care expenditure, <i>h<sub>CA,t</sub></i>, uses predicted values for difference in cigarette consumption, (<i>s<sub>control,t</sub></i> − <i>s<sub>CA,t</sub></i>), that are generated by dynamic predictions using <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0050178#pmed-0050178-e001\" target=\"_blank\">Equations 1</a>–<a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0050178#pmed-0050178-e004\" target=\"_blank\">4</a>. The endogenous variables <i>h<sub>CA,t</sub></i> and (<i>s<sub>control,t</sub></i> − <i>s<sub>CA,t</sub></i>) are generated from the estimated equations and observed exogenous variables for these dynamic predictions. In this figure the prediction for California health care expenditure uses predicted difference in cigarette consumption from <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0050178#pmed-0050178-e002\" target=\"_blank\">Equations 2</a> and <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0050178#pmed-0050178-e004\" target=\"_blank\">4</a> as an explanatory variable rather than observed (as it was in <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0050178#pmed-0050178-g001\" target=\"_blank\">Figure 1</a>, top graph), which increases the prediction error in this more vigorous test of the model. The vertical differences between the darker and lighter solid lines show the effect of the CTCP expenditures.</p>", "links"=>[], "tags"=>["california", "expenditures"], "article_id"=>593009, "categories"=>["Biotechnology"], "users"=>["James M Lightwood", "Alexis Dinno", "Stanton A Glantz"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.0050178.g002", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effect_of_California_Tobacco_Control_Program_on_Personal_Health_Care_Expenditures_and_Cigarette_Consumption_/593009", "title"=>"Effect of California Tobacco Control Program on Personal Health Care Expenditures and Cigarette Consumption", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-08-26 00:50:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/922662"], "description"=>"<p>The estimated annual personal health care expenditures savings associated with the CTCP began to appear shortly after the program began and grew over time. (Lighter lines indicate the 95% CI for the annual savings.)</p>", "links"=>[], "tags"=>["public health and epidemiology"], "article_id"=>593123, "categories"=>["Biotechnology"], "users"=>["James M Lightwood", "Alexis Dinno", "Stanton A Glantz"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.0050178.g003", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Savings_in_Personal_Health_Care_Expenditures_/593123", "title"=>"Savings in Personal Health Care Expenditures", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-08-26 00:52:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/922410"], "description"=>"<p>Endogenous variables per capita California personal health care expenditures <i>h<sub>CA,t</sub></i> (top graph), and difference in per capita cigarette consumption between the control states and California, (<i>s<sub>control,t</sub></i> − <i>s<sub>CA,t</sub></i>) (bottom graph), are generated from the estimated model equations and observed exogenous variables using dynamic predictions, and follow the observed values (dots) of the dependent variables closely. The dotted lines are the predicted long-run cointegrating relationships (<a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0050178#pmed-0050178-e001\" target=\"_blank\">Equations 1</a> and <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0050178#pmed-0050178-e003\" target=\"_blank\">3</a>) and the solid lines add the short-run fluctuations from the ECM (<a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0050178#pmed-0050178-e002\" target=\"_blank\">Equations 2</a> and <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0050178#pmed-0050178-e004\" target=\"_blank\">4</a>) to the long-run predictions.</p>", "links"=>[], "tags"=>["expenditures", "states"], "article_id"=>592862, "categories"=>["Biotechnology"], "users"=>["James M Lightwood", "Alexis Dinno", "Stanton A Glantz"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.0050178.g001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_California_Personal_Health_Care_Expenditures_and_Difference_in_Cigarette_Consumption_between_Control_States_and_California_/592862", "title"=>"California Personal Health Care Expenditures and Difference in Cigarette Consumption between Control States and California", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-08-26 00:47:42"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"10", "full-text"=>"11", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"4"}
  • {"unique-ip"=>"8", "full-text"=>"5", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"5"}
  • {"unique-ip"=>"14", "full-text"=>"5", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"16", "year"=>"2020", "month"=>"6"}
  • {"unique-ip"=>"101", "full-text"=>"5", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"339", "year"=>"2020", "month"=>"7"}
  • {"unique-ip"=>"44", "full-text"=>"10", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"73", "year"=>"2020", "month"=>"8"}
  • {"unique-ip"=>"15", "full-text"=>"21", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"9"}
  • {"unique-ip"=>"21", "full-text"=>"22", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"10"}

Relative Metric

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