Improving pain communication between limited English-speaking Hmong patients, medical interpreters, and health care providers in primary care: A pilot study.
Maichou LorAngie LiRoger BrownMatthew P SwedlundJohn G HawkinsEvan T NolanderBetty ChewningPublished in: Research in nursing & health (2024)
This pilot study assessed the feasibility of implementing a pain assessment information visualization (InfoViz) tool to address cultural and language barriers among limited English proficiency (LEP) Hmong patients in primary care. We used a static group comparison design to collect data from 20 patient, interpreter, and provider triads under usual care (i.e., interpreter using verbal pain descriptions), followed by another 20 triads under the intervention (i.e., interpreter using verbal pain descriptions and the InfoViz tool). Feasibility outcomes included recruitment and retention rates, InfoViz tool completion, acceptability, and fidelity. We also assessed mutual understanding (MU) and pain electronic health record (EHR) documentation. Descriptive data were calculated and thematic analysis was conducted. Thirty-six LEP Hmong patients (n = 29 female, mean age = 59.03), 27 providers (n = 15 female), and four interpreters participated in this study. The patient recruitment rate was 18% while the retention rate was 81%. Interpreter recruitment rate was 80%, and 75% for retention rate. The intervention fidelity mean score was 83%. In the intervention condition, patient-provider MU of pain severity improved by 30%, coupled with a 28% increase in pain severity EHR documentation compared to usual care. While communication of pain quality did not improve, there was a higher mean number of pain descriptors (3.31 in the intervention vs. 1.79 in usual care) in EHR documentation. All participants had a positive experience with the tool, reporting it as valuable with 100% completeness of all tools. Findings revealed the tool was acceptable and feasible to use among LEP patients-interpreters-providers, providing support for an efficacy study.
Keyphrases
- electronic health record
- chronic pain
- pain management
- primary care
- healthcare
- end stage renal disease
- neuropathic pain
- randomized controlled trial
- ejection fraction
- chronic kidney disease
- prognostic factors
- palliative care
- emergency department
- case report
- type diabetes
- weight loss
- spinal cord
- artificial intelligence
- adverse drug
- health insurance