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Development of Logic Model & Performance Measures

Development of Logic Model & Performance Measures. AHEC GRANTEE PRESENTATION APRIL 14, 2011 HRSA/ Division of Workforce & Performance Management. Steps in BHPr Performance Process. Develop Program Logic Models (Feb. 15 – March 31) Develop Cluster Measures and Tables (March 1 – April 29)

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Development of Logic Model & Performance Measures

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  1. Development of Logic Model & Performance Measures AHEC GRANTEE PRESENTATION APRIL 14, 2011 HRSA/ Division of Workforce & Performance Management

  2. Steps in BHPr Performance Process • Develop Program Logic Models (Feb. 15 – March 31) • Develop Cluster Measures and Tables (March 1 – April 29) • Program and Grantee Reviews of Measures and Tables (April 14 -- May 16) • Develop Draft Grantee Guidance (May 1 – 15) • Review and Revision to Guidance (May 16 – 30) • Obtain Input on Guidance from Grantees (May 1– 30) • Finalize Guidance (May 30) • Prepare Final OMB Package (June 1 – July 15) • Obtain Approval from Advisory Groups (November 1 – 30)

  3. OMB Categories • Quantity- supply • Quality- competency, knowledge gained • Diversity – racial/ethnic diversity • Distribution – placement in underserved areas

  4. Program Descriptionand Outcomes • Program level • Activity Level • Individual level

  5. Elements of the proposed individual-level data collection • PII and contact information – collected only for individuals targeted for longitudinal study and only at graduation/program completion (MD/Residency, PA, APRN(PC NP?), Diversity program participants in structured programs, RN?, faculty development?) • Grant-based unique ID (organization-based unique-id; i.e., by university?) • SSN • Name • Current Address • Expected Address in one year (if different) • Phone numbers (home, cell) • e-mail, facebook, • Name and phone number for someone who will know where you can be contacted

  6. Elements of the proposed individual-level data collection • Data that rarely changes – collected on first contact/”enrollment” • Grant-based Unique ID • Birthdate • Gender • Race (check all that apply) • Ethnicity • Parent’s income (broad categories) • Address where individual grew up (prior to 21st birth date) (“rural”)

  7. Elements of the proposed individual-level data collection • Annual data – activities – one record for each defined activity • Grant-based Unique ID • Activity (defined at the program/cluster level and specifics reported at the grant level) • Activity-related individual/immediate outcome • Levels of activities • Year-long training without separate activities – e.g., year 1 in medical or nursing school • Structured, time-limited activities – e.g., clinical rotations, CE courses, structured activities in diversity programs, etc.

  8. Elements of the proposed individual-level data collection • Activity categories/data • Clinical rotations – focus, location/type of facility, length, contact hours, etc. • Post-baccalaureate program • Saturday Academy • Formal mentoring • Etc.

  9. Program Name: Area Health Education Centers Program Need(s):There is a shortage of high quality primary health care to meet growing demand in the U.S. Goal(s): Train a greater number of competent health care providers to better meet the growing demand for primary health care.

  10. Breakout Groups • Best means to describe program activities and outcomes What is missing? • Categorize major elements • Brief summary report-out

  11. Get to Work!

  12. Proposed Common Quality Measures • The number of program participants demonstrating PC competencies • Proportion of BHPr supported trainees who receive training in medically underserved communities. • Proportion of participants who receive a portion of their clinical training in primary care. • Proportion of participants receiving training in PC focus areas • Proportion of participants with increased knowledge gain at the end of CE as reflected in pre-post testing scores • Proportion of participants receiving multiple modes of PC activities • Overall retention of participants in programs

  13. Proposed Common Quantity Measures • The number and percent of participants in career development / career enhancement/career advancement programs • The number and percent of program participants completing training who indicate their intent to practice as a HP • The number and percent of program participants completing training who indicate their intent to practice in primary care • The number and percent of program participants completing training who indicate their intent to practice in underserved areas. • The number of CE offerings per topic/mode of training • The number of new trainees/slots/units

  14. Proposed Common Diversity Measures • The number/type/proportion of graduates/completers who are URM and/or disadvantaged. • The number/type/percent of URM and disadvantaged participants/faculty • # and % of URM accepted into HP training program • Increased retention rate of URM in BHPR programs • Increased retention rate of URM/faculty in HP school • The number and percent of URM and disadvantaged participants who indicate their intent to work in primary care and/or underserved areas. • The number and percent of URM and disadvantaged participants receiving training in primary care and/or underserved areas.

  15. Other Proposed Common Measures/Reporting • Distribution • Proportion of BHPR supported HP who enter practice in underserved areas • Infrastructure • # participants completing faculty development training • # PC AAU • Progress Report (describe accomplishments) • Describe evaluation activities • Explain how partnerships/leveraging activities have influenced how you conduct training activities (e.g. curriculum, enrollment, placements, etc.)? • Educational innovations (e.g. Innovative curricula) • Best practices • Dissemination of knowledge/strategies

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