Accelerating Policy Decisions to Adopt Haemophilus influenzae Type b Vaccine: A Global, Multivariable Analysis
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{"title"=>"Accelerating policy decisions to adopt Haemophilus influenzae type b vaccine: A global, multivariable analysis", "type"=>"journal", "authors"=>[{"first_name"=>"Jessica C.", "last_name"=>"Shearer", "scopus_author_id"=>"35300946800"}, {"first_name"=>"Meghan L.", "last_name"=>"Stack", "scopus_author_id"=>"36004999200"}, {"first_name"=>"Marcie R.", "last_name"=>"Richmond", "scopus_author_id"=>"36004933400"}, {"first_name"=>"Allyson P.", "last_name"=>"Bear", "scopus_author_id"=>"36004636900"}, {"first_name"=>"Rana A.", "last_name"=>"Hajjeh", "scopus_author_id"=>"7004109638"}, {"first_name"=>"David M.", "last_name"=>"Bishai", "scopus_author_id"=>"7004085097"}], "year"=>2010, "source"=>"PLoS Medicine", "identifiers"=>{"scopus"=>"2-s2.0-77950637489", "sgr"=>"77950637489", "issn"=>"15491277", "doi"=>"10.1371/journal.pmed.1000249", "pmid"=>"20305714", "isbn"=>"1549-1676", "pui"=>"358607689"}, "id"=>"518f5342-4e59-31ed-aa12-68e71cae37ea", "abstract"=>"Adoption of new and underutilized vaccines by national immunization programs is an essential step towards reducing child mortality. Policy decisions to adopt new vaccines in high mortality countries often lag behind decisions in high-income countries. Using the case of Haemophilus influenzae type b (Hib) vaccine, this paper endeavors to explain these delays through the analysis of country-level economic, epidemiological, programmatic and policy-related factors, as well as the role of the Global Alliance for Vaccines and Immunisation (GAVI Alliance).", "link"=>"http://www.mendeley.com/research/accelerating-policy-decisions-adopt-haemophilus-influenzae-type-b-vaccine-global-multivariable-analy-2", "reader_count"=>23, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Librarian"=>1, "Researcher"=>5, "Student > Ph. D. Student"=>3, "Student > Postgraduate"=>3, "Student > Master"=>4, "Other"=>1, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>2, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Librarian"=>1, "Researcher"=>5, "Student > Ph. D. Student"=>3, "Student > Postgraduate"=>3, "Student > Master"=>4, "Other"=>1, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>2, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Nursing and Health Professions"=>1, "Medicine and Dentistry"=>14, "Chemistry"=>1, "Social Sciences"=>2, "Computer Science"=>1, "Immunology and Microbiology"=>1, "Economics, Econometrics and Finance"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>14}, "Chemistry"=>{"Chemistry"=>1}, "Social Sciences"=>{"Social Sciences"=>2}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>2}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Unspecified"=>{"Unspecified"=>1}}, "reader_count_by_country"=>{"Kenya"=>1}, "group_count"=>3}

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  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/426599/Table_S1.doc", "https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/426632/Table_S2.doc"], "description"=>"<div><h3>Background</h3><p>Adoption of new and underutilized vaccines by national immunization programs is an essential step towards reducing child mortality. Policy decisions to adopt new vaccines in high mortality countries often lag behind decisions in high-income countries. Using the case of <em>Haemophilus influenzae</em> type b (Hib) vaccine, this paper endeavors to explain these delays through the analysis of country-level economic, epidemiological, programmatic and policy-related factors, as well as the role of the Global Alliance for Vaccines and Immunisation (GAVI Alliance).</p><h3>Methods and Findings</h3><p>Data for 147 countries from 1990 to 2007 were analyzed in accelerated failure time models to identify factors that are associated with the time to decision to adopt Hib vaccine. In multivariable models that control for Gross National Income, region, and burden of Hib disease, the receipt of GAVI support speeded the time to decision by a factor of 0.37 (95% CI 0.18–0.76), or 63%. The presence of two or more neighboring country adopters accelerated decisions to adopt by a factor of 0.50 (95% CI 0.33–0.75). For each 1% increase in vaccine price, decisions to adopt are delayed by a factor of 1.02 (95% CI 1.00–1.04). Global recommendations and local studies were not associated with time to decision.</p><h3>Conclusions</h3><p>This study substantiates previous findings related to vaccine price and presents new evidence to suggest that GAVI eligibility is associated with accelerated decisions to adopt Hib vaccine. The influence of neighboring country decisions was also highly significant, suggesting that approaches to support the adoption of new vaccines should consider supply- and demand-side factors.</p><h3></h3><p><em>Please see later in the article for the Editors' Summary</em></p></div>", "links"=>[], "tags"=>["accelerating", "decisions", "multivariable"], "article_id"=>144210, "categories"=>["Medicine", "Cancer", "Information And Computing Sciences"], "users"=>["Jessica C. Shearer", "Meghan L. Stack", "Marcie R. Richmond", "Allyson P. Bear", "Rana A. Hajjeh", "David M. Bishai"], "doi"=>["http://dx.doi.org/10.1371/journal.pmed.1000249"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/Accelerating_Policy_Decisions_to_Adopt_Haemophilus_influenzae_Type_b_Vaccine_A_Global_Multivariable_Analysis/144210", "title"=>"Accelerating Policy Decisions to Adopt <em>Haemophilus influenzae</em> Type b Vaccine: A Global, Multivariable Analysis", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2010-03-16 01:10:10"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/858194/Figure_1.tif"], "description"=>"<p>Time = 0 represents first availability (licensure) of Hib vaccine (1998 for UNICEF procurers; 1990 for others).</p>", "links"=>[], "tags"=>["gavi", "non-gavi"], "article_id"=>528648, "categories"=>["Medicine", "Cancer", "Information And Computing Sciences"], "users"=>["Jessica C. Shearer", "Meghan L. Stack", "Marcie R. Richmond", "Allyson P. Bear", "Rana A. Hajjeh", "David M. Bishai"], "doi"=>["http://dx.doi.org/10.1371/journal.pmed.1000249.g001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Time_to_decision_by_GAVI_and_non_GAVI_countries_/528648", "title"=>"Time to decision by GAVI and non-GAVI countries.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-03-16 02:24:08"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/858309/Figure_2.tif"], "description"=>"<p>See <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1000249#pmed.1000249-The1\" target=\"_blank\">[17]</a>.</p>", "links"=>[], "tags"=>["public health and epidemiology/global health", "public health and epidemiology/health policy", "public health and epidemiology/immunization"], "article_id"=>528768, "categories"=>["Medicine", "Cancer", "Information And Computing Sciences"], "users"=>["Jessica C. Shearer", "Meghan L. Stack", "Marcie R. Richmond", "Allyson P. Bear", "Rana A. Hajjeh", "David M. Bishai"], "doi"=>["http://dx.doi.org/10.1371/journal.pmed.1000249.g002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Time_to_decision_by_World_Bank_income_group_/528768", "title"=>"Time to decision by World Bank income group.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-03-16 02:26:08"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/858446/Figure_3.tif"], "description"=>"<p>Time to decision by neighboring country adopters.</p>", "links"=>[], "tags"=>["public health and epidemiology/global health", "public health and epidemiology/health policy", "public health and epidemiology/immunization"], "article_id"=>528900, "categories"=>["Medicine", "Cancer", "Information And Computing Sciences"], "users"=>["Jessica C. Shearer", "Meghan L. Stack", "Marcie R. Richmond", "Allyson P. Bear", "Rana A. Hajjeh", "David M. Bishai"], "doi"=>["http://dx.doi.org/10.1371/journal.pmed.1000249.g003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Time_to_decision_by_neighboring_country_adopters_/528900", "title"=>"Time to decision by neighboring country adopters.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-03-16 02:28:20"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/858548/Table_1.xls"], "description"=>"<p>Studies were identified by searching for keyword combinations of “Hib,” “new vaccine,” or “immunization” and “policy,” “adoption,” or “government factors” in PubMed, SCOPUS, PAIS International, EconLit, and WorldCat. Additional articles were identified by reviewing references of retrieved studies.</p>", "links"=>[], "tags"=>["findings", "factors"], "article_id"=>529003, "categories"=>["Medicine", "Cancer", "Information And Computing Sciences"], "users"=>["Jessica C. Shearer", "Meghan L. Stack", "Marcie R. Richmond", "Allyson P. Bear", "Rana A. Hajjeh", "David M. Bishai"], "doi"=>["http://dx.doi.org/10.1371/journal.pmed.1000249.t001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Previous_findings_on_factors_that_influence_national_vaccine_decision_making_/529003", "title"=>"Previous findings on factors that influence national vaccine decision-making.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-03-16 02:30:03"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/858586/Table_2.xls"], "description"=>"a<p>N = country-years.</p>", "links"=>[], "tags"=>["included"], "article_id"=>529041, "categories"=>["Medicine", "Cancer", "Information And Computing Sciences"], "users"=>["Jessica C. Shearer", "Meghan L. Stack", "Marcie R. Richmond", "Allyson P. Bear", "Rana A. Hajjeh", "David M. Bishai"], "doi"=>["http://dx.doi.org/10.1371/journal.pmed.1000249.t002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Summary_statistics_of_included_independent_variables_/529041", "title"=>"Summary statistics of included independent variables.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-03-16 02:30:41"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/858612/Table_3.xls"], "description"=>"<p>*<i>p</i><0.05, **<i>p</i><0.01, Weibull distribution, Gaussian frailty. <i>n</i> = 1,383.</p>", "links"=>[], "tags"=>["accelerated"], "article_id"=>529071, "categories"=>["Medicine", "Cancer", "Information And Computing Sciences"], "users"=>["Jessica C. Shearer", "Meghan L. Stack", "Marcie R. Richmond", "Allyson P. Bear", "Rana A. Hajjeh", "David M. Bishai"], "doi"=>["http://dx.doi.org/10.1371/journal.pmed.1000249.t003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Results_from_accelerated_failure_time_model_/529071", "title"=>"Results from accelerated failure time model.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-03-16 02:31:11"}

PMC Usage Stats | Further Information

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Relative Metric

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