Procurement and use of social determinants of health data among key health care stakeholders

BACKGROUND: A growing body of evidence supports the need for health systems to shift towards addressing social determinants of health (SDoH) as part of routine care. However, little is known about the state of the industry in terms of procurement and use of SDoH data. OBJECTIVES: To assess stakeholders' perceptions and experiences in collecting and utilizing SDoH data. METHODS: A prospective, cross-sectional study was conducted using a 24-item electronic survey. The pilot-tested survey was distributed to a diverse convenience sample of 94 health care stakeholder organizations that are members of the Pharmacy Quality Alliance organization. Survey responses were collected from November to December 2020. Descriptive statistics were used to analyze responses. RESULTS: A total of 25 respondents completed the survey (response rate=26.6%). More than half (n=14, 56.0%) collected and tracked SDoH data, and of those, most (n=6, 42.85%) reported using organization-specific tools instead of standardized SDoH tools. Economic stability and health and health care indicators were the most frequently identified types of SDoH data collected. Participants reported that both identifying (mean = 3.88 +/- SD=0.88; 1 = not important to S = extremely important) and addressing (3.88 +/- 0.93) patients' SDoH were moderately important to their organization. Lack of standard data format (72.0%), tack of time (52.0%), and tack of technological capabilities (44.0%) were the most commonly reported barriers to collecting SDoH data. However, value-based payment programs that reward addressing SDoH needs (76.0%) and a coding structure or reimbursement mechanism for identification and management of SDoH (60.0%) were most commonly reported as mechanisms to overcome SDoH data collection barriers. CONCLUSIONS: Health care stakeholders consider patient SDoH indicators important but report significant challenges in collecting these data. Solutions that address data standardization, time burden, technological barriers, and the offering of incentives could facilitate its collection and effective use.