{"id":1376,"date":"2018-01-03T09:35:25","date_gmt":"2018-01-03T14:35:25","guid":{"rendered":"https:\/\/health.uconn.edu\/health-disparities\/?page_id=1376"},"modified":"2019-01-08T13:53:20","modified_gmt":"2019-01-08T18:53:20","slug":"health-insurance-simplification-seminar-series-2017-seminar-2","status":"publish","type":"page","link":"https:\/\/health.uconn.edu\/health-disparities\/health-insurance-simplification-seminar-series-2017-seminar-2\/","title":{"rendered":"Health Insurance Simplification Seminar Series 2017 &#8211; Seminar 2"},"content":{"rendered":"<div id=\"pl-1376\"  class=\"panel-layout\" ><div id=\"pg-1376-0\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-1376-0-0\"  class=\"panel-grid-cell\" ><div id=\"panel-1376-0-0-0\" class=\"so-panel widget widget_black-studio-tinymce widget_black_studio_tinymce panel-first-child panel-last-child\" data-index=\"0\" ><h3 class=\"widget-title\">What We Learned<\/h3><div class=\"textwidget\">On December 13<sup>th,<\/sup>\u00a02017, the Health Disparities Institute (HDI) hosted HIS#2. Keynote speakers were the behavioral economists George Loewenstein, PhD and Saurabh Bhargava, PhD from Carnegie Mellon University. A panel of experts and the audience engaged in a rich dialogue based on the research findings. Panelists were Jim Wadleigh CEO of Access Health Connecticut, Lynn Quincy now at Altarum and Drs. Loewenstein and Bhargava. The panel was moderated by Dr. Victor Villagra.\n\n<strong>Goals of HIS#2<\/strong>\n<ul>\n \t<li>To build on the conclusions of <a href=\"https:\/\/health.uconn.edu\/health-disparities\/health-insurance-simplification-seminar-series-2017\/\">HIS#1<\/a>:\n<ul>\n \t<li>Insurance products are unnecessarily complex<\/li>\n \t<li>Cost-sharing features are the most confusing features;<\/li>\n \t<li>Coupled with low health insurance literacy and poor insurance-related decision support complexity leads to errors with adverse health and financial consequences.<\/li>\n \t<li>Shopping for health insurance is a dreaded task many people go through every year<\/li>\n<\/ul>\n<\/li>\n \t<li>To respond to HIS#1 attendees\u2019 desire to go deeper, to be more specific and to describe\/quantify the consequences of health insurance complexity.<\/li>\n<\/ul>\nThe HDI invited two of the country\u2019s foremost experts to decompose health insurance complexity and explain its impact on consumers\u2019 health plan selection.<\/div><\/div><\/div><div id=\"pgc-1376-0-1\"  class=\"panel-grid-cell\" ><div id=\"panel-1376-0-1-0\" class=\"so-panel widget widget_black-studio-tinymce widget_black_studio_tinymce panel-first-child\" data-index=\"1\" ><div class=\"textwidget\"><p><a href=\"http:\/\/mediasite.uchc.edu\/mediasite41\/Play\/1aaf6782b43d4d4888c37ef942dc6ae11d\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1443 size-medium lazyload\" data-src=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/53\/2018\/01\/jpg-of-presentation-300x202.jpg\" alt=\"\" width=\"300\" height=\"202\" data-srcset=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/jpg-of-presentation-300x202.jpg 300w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/jpg-of-presentation-768x516.jpg 768w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/jpg-of-presentation-1024x689.jpg 1024w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/jpg-of-presentation-272x182.jpg 272w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/jpg-of-presentation.jpg 1221w\" data-sizes=\"(max-width: 300px) 100vw, 300px\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" style=\"--smush-placeholder-width: 300px; --smush-placeholder-aspect-ratio: 300\/202;\" \/><noscript><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1443 size-medium\" src=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/53\/2018\/01\/jpg-of-presentation-300x202.jpg\" alt=\"\" width=\"300\" height=\"202\" srcset=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/jpg-of-presentation-300x202.jpg 300w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/jpg-of-presentation-768x516.jpg 768w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/jpg-of-presentation-1024x689.jpg 1024w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/jpg-of-presentation-272x182.jpg 272w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/jpg-of-presentation.jpg 1221w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/noscript><\/a><\/p>\n<p><a href=\"http:\/\/mediasite.uchc.edu\/mediasite41\/Play\/1aaf6782b43d4d4888c37ef942dc6ae11d\"><b>View Presentation<\/b><\/a><\/p>\n<\/div><\/div><div id=\"panel-1376-0-1-1\" class=\"so-panel widget widget_black-studio-tinymce widget_black_studio_tinymce panel-last-child\" data-index=\"2\" ><div class=\"textwidget\"><p><a href=\"http:\/\/mediasite.uchc.edu\/mediasite41\/Play\/342ef1cb0a6e4a2aa6cd11e733114e611d\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1444 size-medium lazyload\" data-src=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/53\/2018\/01\/jpg-of-panel-e1516304265203-300x195.jpg\" alt=\"\" width=\"300\" height=\"195\" data-srcset=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/jpg-of-panel-e1516304265203-300x195.jpg 300w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/jpg-of-panel-e1516304265203-768x498.jpg 768w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/jpg-of-panel-e1516304265203-1024x665.jpg 1024w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/jpg-of-panel-e1516304265203.jpg 1114w\" data-sizes=\"(max-width: 300px) 100vw, 300px\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" style=\"--smush-placeholder-width: 300px; --smush-placeholder-aspect-ratio: 300\/195;\" \/><noscript><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1444 size-medium\" src=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/53\/2018\/01\/jpg-of-panel-e1516304265203-300x195.jpg\" alt=\"\" width=\"300\" height=\"195\" srcset=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/jpg-of-panel-e1516304265203-300x195.jpg 300w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/jpg-of-panel-e1516304265203-768x498.jpg 768w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/jpg-of-panel-e1516304265203-1024x665.jpg 1024w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/jpg-of-panel-e1516304265203.jpg 1114w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/noscript><\/a><\/p>\n<p><a href=\"http:\/\/mediasite.uchc.edu\/mediasite41\/Play\/342ef1cb0a6e4a2aa6cd11e733114e611d\"><b>View Panel Discussion<\/b><\/a><\/p>\n<\/div><\/div><\/div><\/div><div id=\"pg-1376-1\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-1376-1-0\"  class=\"panel-grid-cell\" ><div id=\"panel-1376-1-0-0\" class=\"so-panel widget widget_black-studio-tinymce widget_black_studio_tinymce panel-first-child panel-last-child\" data-index=\"3\" ><div class=\"panel-widget-style panel-widget-style-for-1376-1-0-0\" ><h3 class=\"widget-title\">Research Highlights [1]<\/h3><div class=\"textwidget\">From the consumers\u2019 perspective, these are the salient components of health insurance complexity:\n<ul>\n \t<li><strong>Too many choices<\/strong> under the false assumption that consumers want them.<\/li>\n \t<li><strong>Metal naming<\/strong> of products (in ACA exchanges) conveys the false message that Gold is always <em>more valuable<\/em> than Bronze as is the case with Olympic medals, a familiar concept for consumers. By contrast naming products based on their desirability for low, medium or high medical needs is far more helpful. Here are examples of the consequences of choosing a plan using metal names versus medical need names.<\/li>\n<\/ul>\n<table class=\" aligncenter\" style=\"width: 474px\" width=\"474\">\n<tbody>\n<tr>\n<td style=\"width: 139px\">\n<p style=\"text-align: left\">Naming convention<\/p>\n<\/td>\n<td style=\"width: 108px\">Over-insured<\/td>\n<td style=\"width: 79px\">\n<p style=\"text-align: center\">Just right<\/p>\n<\/td>\n<td style=\"width: 120px\">Under-insured<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 139px\">Metal<\/td>\n<td style=\"width: 108px\">43%<\/td>\n<td style=\"width: 79px\">24%<\/td>\n<td style=\"width: 120px\">33%<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 139px\">Medical need<\/td>\n<td style=\"width: 108px\">19%<\/td>\n<td style=\"width: 79px\">53%<\/td>\n<td style=\"width: 120px\">28%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: center\">\u201cGuided\u201d by metal naming consumers overspend an average of $888\/year.<\/p>\n\n<ul>\n \t<li><strong>Most plan choices guarantee consumer overspending <\/strong>(academics call these bad plan choices \u201cdominated\u201d plans): most insurance plans offered through exchanges all but guarantee that each year consumers will overspend compared to an alternative optimal plan ($0 excess out-of-pocket [OOP] spending). Examples:<\/li>\n<\/ul>\n<p style=\"text-align: center\"><strong>Annual Excess Premium Cost vs. Optimal Plan*<\/strong><\/p>\n\n<table class=\" aligncenter\" style=\"width: 494px\">\n<tbody>\n<tr>\n<td style=\"width: 130px\"><\/td>\n<td style=\"width: 114px\">Low care need couple<\/td>\n<td style=\"width: 108px\">Medium care need couple<\/td>\n<td style=\"width: 116px\">High care need couple<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 130px\">Percent<\/td>\n<td style=\"width: 114px\">61%<\/td>\n<td style=\"width: 108px\">34%<\/td>\n<td style=\"width: 116px\">59%<\/td>\n<\/tr>\n<tr>\n<td style=\"width: 130px\">Dollars<\/td>\n<td style=\"width: 114px\">$4,706<\/td>\n<td style=\"width: 108px\">$3,178<\/td>\n<td style=\"width: 116px\">$5,932<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p style=\"text-align: center\">*Optimal plan <strong>excess<\/strong> OOP would be $0.<\/p>\n\n<ul>\n \t<li>Overspending for health insurance <strong>is not <\/strong>a rational or a \u201cwell -informed\u201d consumer decision to:\n<ul>\n \t<li>Buy \u201cbetter protection\u201d against unpredictable health problems<\/li>\n \t<li>Match family health care needs and financial situation with plan choice (as encouraged by advertisements)<\/li>\n \t<li>Mitigate consumers\u2019 aversion to financial risk (e.g.: due to low liquidity, poor credit, etc.)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<a href=\"#_ftnref1\" name=\"_ftn1\">[1]<\/a> For details please refer to<em> \u201c<a href=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/53\/2018\/01\/Choose-to-Lose.pdf\">Choose to Lose<\/a>\u201d <\/em>and <em>\u201c<a href=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/53\/2018\/01\/The-cost-of-poor-health-and-prescriptions.pdf\">The Costs of Poor Health (Plan Choices) &amp; Prescription for Reform<\/a>\u201d<\/em><\/div><\/div><\/div><\/div><\/div><div id=\"pg-1376-2\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-1376-2-0\"  class=\"panel-grid-cell panel-grid-cell-mobile-last\" ><div id=\"panel-1376-2-0-0\" class=\"so-panel widget widget_black-studio-tinymce widget_black_studio_tinymce panel-first-child panel-last-child\" data-index=\"4\" ><h3 class=\"widget-title\">So, What?<\/h3><div class=\"textwidget\"><p>Based on the lessons learned in HIS#2 researchers postulated the following consequences of health insurance complexity:<\/p>\n<\/div><\/div><\/div><div id=\"pgc-1376-2-1\"  class=\"panel-grid-cell panel-grid-cell-empty\" ><\/div><\/div><div id=\"pg-1376-3\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-1376-3-0\"  class=\"panel-grid-cell\" ><div id=\"panel-1376-3-0-0\" class=\"so-panel widget widget_text panel-first-child panel-last-child\" data-index=\"5\" >\t\t\t<div class=\"textwidget\"><p><em>\u201cIf two-thirds of the roughly 8 million people who enrolled in the ACA in the inaugural year of the exchanges chose plans that led to average overspending amounting to $1,324, the result would be roughly $7.1 billion of excess spending each year, borne by a population with low to moderate incomes.\u201d <\/em><\/p>\n<p>This massive transfer of wealth would create little or no discernable value for the people who pay for it.<\/p>\n<\/div>\n\t\t<\/div><\/div><div id=\"pgc-1376-3-1\"  class=\"panel-grid-cell\" ><div id=\"panel-1376-3-1-0\" class=\"so-panel widget widget_text panel-first-child panel-last-child\" data-index=\"6\" >\t\t\t<div class=\"textwidget\"><p><em>\u201cIn markets with a significant share of consumers who are not fully informed, insurers may be subject to less competitive pressure to reduce prices and improve quality\u2014and may even compete by confusing consumers and then persuading them to purchase lucrative suboptimal plans.\u201d <\/em><\/p>\n<p>At this point we do not know to what extent the results of the studies also hold true for QHP enrollees in CT.<\/p>\n<\/div>\n\t\t<\/div><\/div><div id=\"pgc-1376-3-2\"  class=\"panel-grid-cell\" ><div id=\"panel-1376-3-2-0\" class=\"so-panel widget widget_text panel-first-child panel-last-child\" data-index=\"7\" >\t\t\t<div class=\"textwidget\"><p><em>\u201cIn markets with a significant share of consumers who are not fully informed, insurers may be subject to less competitive pressure to reduce prices and improve quality\u2014and may even compete by confusing consumers and then persuading them to purchase lucrative suboptimal plans.\u201d <\/em><\/p>\n<p>At this point we do not know to what extent the results of the studies also hold true for QHP enrollees in CT.<\/p>\n<\/div>\n\t\t<\/div><\/div><div id=\"pgc-1376-3-3\"  class=\"panel-grid-cell\" ><div id=\"panel-1376-3-3-0\" class=\"so-panel widget widget_text panel-first-child panel-last-child\" data-index=\"8\" >\t\t\t<div class=\"textwidget\"><p>The \u201cinvisible hand\u201d <strong>*<\/strong> is largely NOT working for consumers.<\/p>\n<p><strong>*<\/strong> From Adam Smith\u2019s book<em> \u201cThe Wealth of Nations\u201d. <\/em>The unobservable\u00a0market\u00a0force that helps the demand and supply of goods in a free\u00a0market\u00a0to reach equilibrium automatic is <strong>the invisible hand\u00a0<\/strong><\/p>\n<\/div>\n\t\t<\/div><\/div><\/div><div id=\"pg-1376-4\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-1376-4-0\"  class=\"panel-grid-cell\" ><div id=\"panel-1376-4-0-0\" class=\"so-panel widget widget_black-studio-tinymce widget_black_studio_tinymce panel-first-child panel-last-child\" data-index=\"9\" ><div class=\"panel-widget-style panel-widget-style-for-1376-4-0-0\" ><h3 class=\"widget-title\">Next Steps<\/h3><div class=\"textwidget\"><p>HIS#1 and 2 examined in detail how health insurance complexity makes it not only difficult for consumers to CHOOSE the right plan, it makes it likely that people will choose the wrong plan (a \u201cdominated\u201d plan) for their health needs and financial situation.<\/p>\n<p>The logical continuation of our strategy to decompose and understand the negative societal and individual impact of HI complexity leads us to focus the next seminar HIS#3 on the difficulties consumers face USING health insurance. These difficulties can lead to postponing or foregoing needed care and often to crushing medical debt.<\/p>\n<p>Remember here is the sad and pernicious equation we are trying to untangle and fix:<\/p>\n<p><a href=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/53\/2018\/01\/HIS-Summary-Graphic.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-1465 size-full aligncenter lazyload\" data-src=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/53\/2018\/01\/HIS-Summary-Graphic-e1517336309689.jpg\" alt=\"\" width=\"610\" height=\"61\" data-srcset=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/HIS-Summary-Graphic-e1517336309689.jpg 610w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/HIS-Summary-Graphic-e1517336309689-300x30.jpg 300w\" data-sizes=\"(max-width: 610px) 100vw, 610px\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" style=\"--smush-placeholder-width: 610px; --smush-placeholder-aspect-ratio: 610\/61;\" \/><noscript><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-1465 size-full aligncenter\" src=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/53\/2018\/01\/HIS-Summary-Graphic-e1517336309689.jpg\" alt=\"\" width=\"610\" height=\"61\" srcset=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/HIS-Summary-Graphic-e1517336309689.jpg 610w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/HIS-Summary-Graphic-e1517336309689-300x30.jpg 300w\" sizes=\"(max-width: 610px) 100vw, 610px\" \/><\/noscript><\/a><\/p>\n<p>And the entire equation is FAR WORSE FOR MINORITIES \u21d2 <strong>HEALTH INEQUITIES<\/strong><\/p>\n<p>Simultaneously with preparations for HIS#3, the EC2C Coalition should discuss a strategy (including additional research) to formulate legislation to dramatically simplify health insurance plans. This strategy should be supplemented by an intensification of the Coalition work on consumer HIL education and training CHWs and others to provide HI Navigation at the point of care<\/p>\n<\/div><\/div><\/div><\/div><\/div><div id=\"pg-1376-5\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-1376-5-0\"  class=\"panel-grid-cell panel-grid-cell-empty\" ><\/div><\/div><div id=\"pg-1376-6\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-1376-6-0\"  class=\"panel-grid-cell\" ><div id=\"panel-1376-6-0-0\" class=\"so-panel widget widget_text panel-first-child panel-last-child\" data-index=\"10\" ><h3 class=\"widget-title\">Presentation Slides<\/h3>\t\t\t<div class=\"textwidget\"><p><a href=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/53\/2018\/01\/Health-Insurance-Simplification-Slides-12-10-2017.ppsx\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-1442 lazyload\" data-src=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/53\/2018\/01\/Jpeg-of-slides-e1516304517789-300x240.jpg\" alt=\"\" width=\"300\" height=\"240\" data-srcset=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/Jpeg-of-slides-e1516304517789-300x240.jpg 300w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/Jpeg-of-slides-e1516304517789-768x614.jpg 768w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/Jpeg-of-slides-e1516304517789-1024x818.jpg 1024w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/Jpeg-of-slides-e1516304517789.jpg 1190w\" data-sizes=\"(max-width: 300px) 100vw, 300px\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" style=\"--smush-placeholder-width: 300px; --smush-placeholder-aspect-ratio: 300\/240;\" \/><noscript><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-1442\" src=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/53\/2018\/01\/Jpeg-of-slides-e1516304517789-300x240.jpg\" alt=\"\" width=\"300\" height=\"240\" srcset=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/Jpeg-of-slides-e1516304517789-300x240.jpg 300w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/Jpeg-of-slides-e1516304517789-768x614.jpg 768w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/Jpeg-of-slides-e1516304517789-1024x818.jpg 1024w, https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/260\/2018\/01\/Jpeg-of-slides-e1516304517789.jpg 1190w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/noscript><\/a><\/p>\n<p>&nbsp;<\/p>\n<\/div>\n\t\t<\/div><\/div><div id=\"pgc-1376-6-1\"  class=\"panel-grid-cell\" ><div id=\"panel-1376-6-1-0\" class=\"so-panel widget widget_text panel-first-child panel-last-child\" data-index=\"11\" ><h3 class=\"widget-title\">Thank you!<\/h3>\t\t\t<div class=\"textwidget\"><p>The HDI team is gratified and thankful to EC2C coalition members for your continued enthusiasm and participation in this initiative.<\/p>\n<p>&nbsp;<\/p>\n<p>See the <a href=\"https:\/\/health.uconn.edu\/health-disparities\/wp-content\/uploads\/sites\/53\/2018\/01\/HIL-Seminar-Evaluations-ec.ppsx\">Seminar Evaluation Results<\/a><\/p>\n<p>&nbsp;<\/p>\n<p><strong>Contact<\/strong>: Dr. Victor Villagra;\u00a0 <a href=\"mailto:victorg.villagra@gmail.com\">victorg.villagra@gmail.com<\/a><\/p>\n<\/div>\n\t\t<\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>On December 13th,\u00a02017, the Health Disparities Institute (HDI) hosted HIS#2. Keynote speakers were the behavioral economists George Loewenstein, PhD and Saurabh Bhargava, PhD from Carnegie Mellon University. A panel of experts and the audience engaged in a rich dialogue based on the research findings. Panelists were Jim Wadleigh CEO of Access Health Connecticut, Lynn Quincy [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"acf":[],"publishpress_future_action":{"enabled":false,"date":"2026-05-04 22:44:45","action":"change-status","newStatus":"draft","terms":[],"taxonomy":""},"_links":{"self":[{"href":"https:\/\/health.uconn.edu\/health-disparities\/wp-json\/wp\/v2\/pages\/1376"}],"collection":[{"href":"https:\/\/health.uconn.edu\/health-disparities\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/health.uconn.edu\/health-disparities\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/health.uconn.edu\/health-disparities\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/health.uconn.edu\/health-disparities\/wp-json\/wp\/v2\/comments?post=1376"}],"version-history":[{"count":50,"href":"https:\/\/health.uconn.edu\/health-disparities\/wp-json\/wp\/v2\/pages\/1376\/revisions"}],"predecessor-version":[{"id":2437,"href":"https:\/\/health.uconn.edu\/health-disparities\/wp-json\/wp\/v2\/pages\/1376\/revisions\/2437"}],"wp:attachment":[{"href":"https:\/\/health.uconn.edu\/health-disparities\/wp-json\/wp\/v2\/media?parent=1376"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}