Healthcare Worker Preferences for Active Tuberculosis Case Finding Programs in South Africa: A Best-Worst Scaling Choice Experiment
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{"title"=>"Healthcare worker preferences for active tuberculosis case finding programs in South Africa: A best-worst scaling choice experiment", "type"=>"journal", "authors"=>[{"first_name"=>"Nathan N.", "last_name"=>"O'Hara", "scopus_author_id"=>"7003680263"}, {"first_name"=>"Lilla", "last_name"=>"Roy", "scopus_author_id"=>"56828869200"}, {"first_name"=>"Lyndsay M.", "last_name"=>"O'Hara", "scopus_author_id"=>"54893574700"}, {"first_name"=>"Jerry M.", "last_name"=>"Spiegel", "scopus_author_id"=>"7102655625"}, {"first_name"=>"Larry D.", "last_name"=>"Lynd", "scopus_author_id"=>"7006325179"}, {"first_name"=>"J. Mark", "last_name"=>"FitzGerald", "scopus_author_id"=>"56414027200"}, {"first_name"=>"Annalee", "last_name"=>"Yassi", "scopus_author_id"=>"56240123700"}, {"first_name"=>"Letshego E.", "last_name"=>"Nophale", "scopus_author_id"=>"35269639600"}, {"first_name"=>"Carlo A.", "last_name"=>"Marra", "scopus_author_id"=>"7102675590"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84941254780", "pui"=>"605939091", "doi"=>"10.1371/journal.pone.0133304", "isbn"=>"1932-6203", "sgr"=>"84941254780", "pmid"=>"26197344"}, "id"=>"174d9fb0-77e6-3a38-9f00-0a1ab16625fe", "abstract"=>"OBJECTIVE: Healthcare workers (HCWs) in South Africa are at a high risk of developing active tuberculosis (TB) due to their occupational exposures. This study aimed to systematically quantify and compare the preferred attributes of an active TB case finding program for HCWs in South Africa.\\n\\nMETHODS: A Best-Worst Scaling choice experiment estimated HCW's preferences using a random-effects conditional logit model. Latent class analysis (LCA) was used to explore heterogeneity in preferences.\\n\\nRESULTS: \"No cost\", \"the assurance of confidentiality\", \"no wait\" and testing at the occupational health unit at one's hospital were the most preferred attributes. LCA identified a four class model with consistent differences in preference strength. Sex, occupation, and the time since a previous TB test were statistically significant predictors of class membership.\\n\\nCONCLUSIONS: The findings support the strengthening of occupational health units in South Africa to offer free and confidential active TB case finding programs for HCWs with minimal wait times. There is considerable variation in active TB case finding preferences amongst HCWs of different gender, occupation, and testing history. Attention to heterogeneity in preferences should optimize screening utilization of target HCW populations.", "link"=>"http://www.mendeley.com/research/healthcare-worker-preferences-active-tuberculosis-case-finding-programs-south-africa-bestworst-scali", "reader_count"=>35, "reader_count_by_academic_status"=>{"Unspecified"=>4, "Professor > Associate Professor"=>1, "Researcher"=>8, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>8, "Student > Postgraduate"=>1, "Other"=>2, "Student > Master"=>7, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>4, "Professor > Associate Professor"=>1, "Researcher"=>8, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>8, "Student > Postgraduate"=>1, "Other"=>2, "Student > Master"=>7, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Nursing and Health Professions"=>5, "Medicine and Dentistry"=>15, "Agricultural and Biological Sciences"=>1, "Business, Management and Accounting"=>2, "Psychology"=>1, "Social Sciences"=>3, "Economics, Econometrics and Finance"=>4}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>15}, "Social Sciences"=>{"Social Sciences"=>3}, "Psychology"=>{"Psychology"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>4}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>5}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>2}, "Unspecified"=>{"Unspecified"=>4}}, "reader_count_by_country"=>{"Canada"=>1}, "group_count"=>3}

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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/2185750"], "description"=>"<p>Participants were asked to select the best (most preferred) feature and the worst (least preferred) feature of an active tuberculosis case finding program from the options provided.</p><p>A sample best worst scaling choice set.</p>", "links"=>[], "tags"=>["TB case", "Active Tuberculosis Case", "preference", "lca", "target HCW populations", "healthcare Worker Preferences", "class membership.ConclusionsThe findings support", "south", "Latent Class Analysis"], "article_id"=>1491168, "categories"=>["Biological Sciences"], "users"=>["Nathan N. O’Hara", "Lilla Roy", "Lyndsay M. O’Hara", "Jerry M. Spiegel", "Larry D. Lynd", "J. Mark FitzGerald", "Annalee Yassi", "Letshego E. Nophale", "Carlo A. Marra"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0133304.t002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_sample_best_worst_scaling_choice_set_/1491168", "title"=>"A sample best worst scaling choice set.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-07-21 04:20:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/2185751"], "description"=>"<p>Characteristics of the respondents (n = 125).</p>", "links"=>[], "tags"=>["TB case", "Active Tuberculosis Case", "preference", "lca", "target HCW populations", "healthcare Worker Preferences", "class membership.ConclusionsThe findings support", "south", "Latent Class Analysis"], "article_id"=>1491169, "categories"=>["Biological Sciences"], "users"=>["Nathan N. O’Hara", "Lilla Roy", "Lyndsay M. O’Hara", "Jerry M. Spiegel", "Larry D. Lynd", "J. Mark FitzGerald", "Annalee Yassi", "Letshego E. Nophale", "Carlo A. Marra"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0133304.t003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Characteristics_of_the_respondents_n_125_/1491169", "title"=>"Characteristics of the respondents (n = 125).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-07-21 04:20:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/2185752"], "description"=>"<p><sup><b>1</b></sup>Probability is interpreted as the probability that class membership is predicted by the given covariate. P-values represent the statistical significance of the covariate as a predictor of class membership.</p><p>Latent class analysis: Four-class model of variable coefficients and probability of class membership.</p>", "links"=>[], "tags"=>["TB case", "Active Tuberculosis Case", "preference", "lca", "target HCW populations", "healthcare Worker Preferences", "class membership.ConclusionsThe findings support", "south", "Latent Class Analysis"], "article_id"=>1491170, "categories"=>["Biological Sciences"], "users"=>["Nathan N. O’Hara", "Lilla Roy", "Lyndsay M. O’Hara", "Jerry M. Spiegel", "Larry D. Lynd", "J. Mark FitzGerald", "Annalee Yassi", "Letshego E. Nophale", "Carlo A. Marra"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0133304.t005"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Latent_class_analysis_Four_class_model_of_variable_coefficients_and_probability_of_class_membership_/1491170", "title"=>"Latent class analysis: Four-class model of variable coefficients and probability of class membership.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-07-21 04:20:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/2185753"], "description"=>"<p>Latent class analysis: Relative preferences for attribute levels in a four-class model.</p>", "links"=>[], "tags"=>["TB case", "Active Tuberculosis Case", "preference", "lca", "target HCW populations", "healthcare Worker Preferences", "class membership.ConclusionsThe findings support", "south", "Latent Class Analysis"], "article_id"=>1491171, "categories"=>["Biological Sciences"], "users"=>["Nathan N. O’Hara", "Lilla Roy", "Lyndsay M. O’Hara", "Jerry M. Spiegel", "Larry D. Lynd", "J. Mark FitzGerald", "Annalee Yassi", "Letshego E. Nophale", "Carlo A. Marra"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0133304.t006"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Latent_class_analysis_Relative_preferences_for_attribute_levels_in_a_four_class_model_/1491171", "title"=>"Latent class analysis: Relative preferences for attribute levels in a four-class model.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-07-21 04:20:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/2185754", "https://ndownloader.figshare.com/files/2185755"], "description"=>"<div><p>Objective</p><p>Healthcare workers (HCWs) in South Africa are at a high risk of developing active tuberculosis (TB) due to their occupational exposures. This study aimed to systematically quantify and compare the preferred attributes of an active TB case finding program for HCWs in South Africa.</p><p>Methods</p><p>A Best–Worst Scaling choice experiment estimated HCW’s preferences using a random-effects conditional logit model. Latent class analysis (LCA) was used to explore heterogeneity in preferences.</p><p>Results</p><p>“No cost”, “the assurance of confidentiality”, “no wait” and testing at the occupational health unit at one’s hospital were the most preferred attributes. LCA identified a four class model with consistent differences in preference strength. Sex, occupation, and the time since a previous TB test were statistically significant predictors of class membership.</p><p>Conclusions</p><p>The findings support the strengthening of occupational health units in South Africa to offer free and confidential active TB case finding programs for HCWs with minimal wait times. There is considerable variation in active TB case finding preferences amongst HCWs of different gender, occupation, and testing history. Attention to heterogeneity in preferences should optimize screening utilization of target HCW populations.</p></div>", "links"=>[], "tags"=>["TB case", "Active Tuberculosis Case", "preference", "lca", "target HCW populations", "healthcare Worker Preferences", "class membership.ConclusionsThe findings support", "south", "Latent Class Analysis"], "article_id"=>1491172, "categories"=>["Biological Sciences"], "users"=>["Nathan N. O’Hara", "Lilla Roy", "Lyndsay M. O’Hara", "Jerry M. Spiegel", "Larry D. Lynd", "J. Mark FitzGerald", "Annalee Yassi", "Letshego E. Nophale", "Carlo A. Marra"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0133304.s001", "https://dx.doi.org/10.1371/journal.pone.0133304.s002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Healthcare_Worker_Preferences_for_Active_Tuberculosis_Case_Finding_Programs_in_South_Africa_A_Best_Worst_Scaling_Choice_Experiment_/1491172", "title"=>"Healthcare Worker Preferences for Active Tuberculosis Case Finding Programs in South Africa: A Best-Worst Scaling Choice Experiment", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-07-21 04:20:18"}

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Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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