PREDICTORS OF ANNUAL SALARY FOR HEALTH ECONOMICS, OUTCOMES RESEARCH, AND MARKET ACCESS PROFESSIONALS

Author(s)

Ghosh S1, Rascati KL1, Shah A2, Peeples P2
1The University of Texas at Austin, Austin, TX, USA, 2HealthEconomics.Com, Ponte Vedra Beach, FL, USA

OBJECTIVES: To determine key predictors of annual salary for health outcomes, outcomes research, and market access (HEOR/MA) professionals employed in biopharmaceutical companies, healthcare consulting, and managed care who participated in the 2017 Global Salary Survey by HealthEconomics.Com. METHODS: In the cross-sectional study, 501 professionals from the HealthEconomics.Com global subscriber list participated in a self-reported survey assessing salary, bonus, benefits, job satisfaction, and job success factors in June 2017. A multivariate regression model identified significant predictors of annual base salary. Interaction between gender and organizational size, current job title, and number of people managed were separately evaluated. Statistical Analysis Software 9.4 (SAS Inc.; Cary, NC) was utilized to conduct the analysis. RESULTS: Of 501 respondents, 391 answered questions required for multivariate analyses. Males represented 52% (n=203) of the respondents; 212 (55%) were employed in biopharma; and 237 (62%) resided in the United States (US). The average salary was $147,091 (SD 86,376). The multivariate regression model accounted for 68.4% of variance in annual base salary (p<0.001). Significantly higher salaries were associated with professionals >40 years of age, biopharmaceutical employment, having hiring and budget management authority, PhD or MD degree, United States employment, working in organizations with >5,000 employees, and job title of president or director (all p <0.05). There was no significant difference in salary between males and females. There were no significant interaction effects between gender and organizational size, current designation, and number of people managed. CONCLUSIONS: Surprisingly, gender did not seem to play a significant role in predicting annual base salary within HEOR and market access jobs, refuting the notion of income disparity across gender in HEOR/MA. Organization type, terminal degree, geography, and hiring/budget authority were significant predictors of higher salaries. Additional research should be conducted to increase the generalizability of these results, which were based on a convenience sample.

Conference/Value in Health Info

2018-05, ISPOR 2018, Baltimore, MD, USA

Value in Health, Vol. 21, S1 (May 2018)

Code

PHP88

Topic

Economic Evaluation

Topic Subcategory

Cost/Cost of Illness/Resource Use Studies

Disease

Multiple Diseases

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