RESUMEN
BACKGROUND: Patient-centered communication (PCC) is an important metric related to patient health outcomes. Non-Hispanic Asian (NHA) individuals reported lower PCC scores with healthcare providers than individuals of other races and ethnicities. We aim to determine the ethnic disparities in PCC and further investigate the association between PCC, individual's confidence in obtaining health-related information (health literacy), and confidence in taking care of themselves (health self-efficacy) among NHA in comparison to the Non-Hispanic White (NHW) population. METHODS: This is a cross-sectional study. We used data from the Health Information National Trends Survey 5 (HINTS) cycles 1 and 3. PCC was measured using seven validated survey questions with scores ranging from 7 to 28. Individuals' health literacy and self-efficacy were accessed using two-item survey questions. Multivariable logistic regression analyses were performed to determine the association of independent factors (e.g., self-efficacy, health literacy, and race and ethnicity) with PCC. RESULTS: We included 3,831 participants. Fewer NHAs (35.43%) reported high PCC scores compared to NHWs (48.99%, p = 0.0184). In fully adjusted logistic regression model, although NHAs were less likely to have high PCC scores (aOR = 0.78, 95% CI 0.46-1.32) compared to NHWs, the association was not statistically significant (p = 0.350). However, the aOR of confidence in self-efficacy associated with high PCC scores was 2.27 (95% CI 1.68-3.07, p < 0.001) and the aOR of confidence in health literacy with high PCC scores was 2.13 (95% CI 1.64-2.76, p < 0.001). CONCLUSIONS: High PCC scores reported by NHA were not significantly different from those of NHW individuals in adjusted comparisons. Individual's confidence in self-efficacy and health literacy was positively associated with high PCC regardless of race and ethnicity.
RESUMEN
BACKGROUND: Patient-provider communication can be assessed by the patient-centered communication (PCC) score. With rapid development of electronic health (eHealth) information usage, we are uncertain of their role in PCC. Our study aims to determine the association between PCC and eHealth usage with the analysis of national representative survey data. METHODS: This is a cross sectional analysis using the Health Information National Trends Survey 5 (HINTS 5) cycle 1 to cycle 4 data (2017-2020). Seven specific questions were used for PCC assessment, and eHealth usage was divided into two types (private-eHealth and public-eHealth usage). A multivariate logistic regression was performed to determine the association between PCC and eHealth usage after the adjustment of other social, demographic, and clinical variables. RESULTS: Our study analyzed a total of 13,055 unweighted participants representing a weighted population of 791,877,728. Approximately 43% of individuals used private eHealth and 19% used public eHealth. The adjusted odds ratio (AOR) of private-eHealth usage associated with positive PCC was 1.17 (95% CI 1.02-1.35, p = 0.027). The AOR of public-eHealth usage associated with positive PCC was 0.84 (95% CI 0.71-0.99, p = 0.043). CONCLUSION: Our study found that eHealth usage association with PCC varies. Private-eHealth usage was positively associated with PCC, whereas public-eHealth usage was negatively associated with PCC.
