Table 2.

Characteristics of studies included in this review

	Primary social determinant of health, n (%)
Primary data quality issue	Race, ethnicity, country of origin	Insurance status	Occupation	General community-level	Environmental	Nonspecific
Completeness (missing data), n = 29	15 (37.5%)	1 (100%)	6 (86%)	2 (12.5%)	1 (20%)	6 (86%)
Conformance (incompatible data), n = 16	0	0	1 (14%)	10 (62.5%)	3 (60%)	0
Plausibility (inaccurate data), n = 31	25 (62.5%)	0	0	4 (25%)	1 (20%)	1 (14%)
Total, n = 76	40	1	7	16	5	7
Typical article title	“Accuracy of Race, Ethnicity, and Language Preference in an Electronic Health Record”	“Primary Payer at DX: Issues with Collection and Assessment of Data Quality”	“Availability and accuracy of occupation in cancer registry data among Florida firefighters”	“Match Rate and Positional Accuracy of Two Geocoding Methods for Epidemiologic Research”	“Residential mobility in early childhood and the impact on misclassification in pesticide exposures”	“Utilization of Social Determinants of Health ICD-10 Z-Codes Among Hospitalized Patients in the United States, 2016–2017”
Usual source for this information within the patient record	administrative or demographic sources			patient address is geocoded to link community-level data		diagnosis codes