| Press Release |
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| October 26, 2009 |
| PDHI Announces GINA-Compliant Health Risk Assessment Available November 1st, 2009 |
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| PDHI announces availability of ConXus Profile v2.5 on November 1st, providing clients with a GINA-compliant health risk assessment for employers beginning open enrollment. |
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| The GINA regulations that come into effect on December 6th prohibit employers and health plans from collecting information about family medical history. The removal of these questions from the health risk assessment modifies many of the future disease risk algorithms used in the instrument. |
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| PDHI conducted an analysis of 35,000 HRAs, across multiple groups, comparing pre- and post-GINA assessment results for future risk of developing breast cancer, colorectal cancer, depression, diabetes, heart disease, and hypertension. Removal of family history information resulted in an average 5% shift towards lower risk across the population for each risk factor. |
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| "Our clients have been inundated with requests from employers for a GINA-compliant HRA to support open enrollment," says Jennifer Jolley, PDHI’s President. "The modular architecture of our ConXus Platform allowed us to respond rapidly to meet this need." |
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ConXus Profile v2.5 is available in English and Spanish, for delivery online or using a scannable paper questionnaire. The release includes changes to the following product components:
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Questionnaire |
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Member report |
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Provider report |
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Data export file |
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Data elements available through member data Web Services |
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| The upgrade also includes minor changes to the collection and assessment of data for smoking and physical activity, and the addition of questions regarding hearing and vision impairment, to provide full compliance with the 2009 NCQA Wellness and Health Promotion technical specifications. |
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| The ConXus Profile aggregate reports allow data collected using v2.5 to be compared with data collected using previous versions of the HRA and with data loaded from other HRA vendors using PDHI’s proprietary third-party HRA data load methodology. |