| Literature DB >> 33515189 |
Sarita Pathak1,2, Steven E Gregorich1,2, Lisa C Diamond3,4, Sunita Mutha1, Esme Seto1, Jennifer Livaudais-Toman1,2, Leah Karliner5,6.
Abstract
BACKGROUND: The use of professional interpretation is associated with improvements in overall healthcare of patients with limited English proficiency (LEP). For these patients, it is important to understand whether quality of professional interpretation in-person is preserved using remote interpretation modalities (video-conferencing, telephone).Entities:
Mesh:
Year: 2021 PMID: 33515189 PMCID: PMC7845580 DOI: 10.1007/s11606-020-06491-w
Source DB: PubMed Journal: J Gen Intern Med ISSN: 0884-8734 Impact factor: 6.473
Demographic Characteristics of LEP Patients by Mode of Professional Interpretation (N = 326)a
| Total | In-person | VMI | Telephone | ||
|---|---|---|---|---|---|
| Patient characteristics | |||||
| Preferred language to receive medical care | |||||
| Cantonese | 182 (55.8) | 34 (66.7) | 134 (55.8) | 34 (50.8) | |
| Mandarin | 84 (25.8) | 11 (21.6) | 67 (27.9) | 11 (16.4) | |
| Spanish | 60 (18.4) | 6 (11.8) | 39 (16.3) | 22 (32.8) | |
| Age (mean ± SE) | 69.2 ± 0.6 | 66.2 ± 1.3 | 70.0 ± 0.8 | 67.7 ± 2.1 | |
| Gender | |||||
| Female | 210 (64.4) | 41 (80.4) | 145 (60.4) | 24 (68.6) | |
| Male | 116 (35.6) | 10 (19.6) | 95 (39.6) | 11 (31.4) | |
| Education | |||||
| Less than high school | 168 | 32 (62.8) | 117 (48.8) | 19 (54.3) | |
| High school diploma | 61 (18.7) | 11 (21.6) | 40 (16.7) | 10 (28.6) | |
| AA or some college | 31 (9.5) | 6 (11.8) | 22 (9.2) | 3 (8.6) | |
| College degree or higher | 66 (20.3) | 2 (3.9) | 61 (25.4) | 3 (8.6) | |
| Health literacy | |||||
| Inadequate | 77 (23.6) | 20 (39.2) | 48 (20.0) | 9 (25.7) | |
| Adequate | 249 (76.4) | 31 (60.8) | 192 (80.0) | 26 (74.3) | |
| Number of comorbiditiesb | |||||
| (mean ± SE) | 2.4 ± 0.1 | 1.9 ± 0.2 | 2.4 ± 0.1 | 2.9 ± 0.3 | |
| Visit characteristics | |||||
| Visit with PCP or not | |||||
| No | 121 (37.1) | 13 (25.5) | 90 (37.5) | 18 (51.4) | |
| Yes | 205 (62.9) | 38 (74.5) | 150 (62.5) | 17 (48.6) | |
| Number of problems addressed during | |||||
| the visit (mean ± SE) | 4.4 ± 0.2 | 4.7 ± 0.4 | 4.5 ± 0.2 | 3.6 ± 0.5 | 0.14 |
| Number of visits in past 12 months | |||||
| (mean ± SE) | 3.5 ± 0.2 | 3.3 ± 0.4 | 3.5 ± 0.2 | 4.0 ± 0.5 | 0.58 |
| Length of time as a patient (in months) | |||||
| (mean ± SE) | 29.1 ± 0.7 | 28.4 ± 2.0 | 29.2 ± 0.7 | 29.6 ± 1.4 | 0.89 |
ap value adjusted for clustering of patients within physicians
bElixhauser-based comorbidity summary (Elixhauser et al. Med Care 1998; 36:8–27)
Figure 1a Distribution of five-item mean quality scale scores by interpreter modality. b Distribution of single-item overall quality of interpretation scores by interpreter modality.
Mean LEP Patient Responses to the 5-Item Quality of Interpretation Scale and Single-Item Overall Quality of Interpretation Score, Stratified by Professional Interpretation Modality (N = 326)
| Unadjusted Means ± SE | Adjusted Means ± SE | ||
|---|---|---|---|
| Five-item quality of interpretation scale*** | |||
| In-persona | 3.82 ± 0.13 | 3.86 ± 0.11 | a vs b = 0.61 |
| VMIb | 3.95 ± 0.05 | 3.91 ± 0.04 | a vs c = 0.44 |
| Telephonec | 3.79 ± 0.13 | 3.73 ± 0.13 | b vs c = 0.15 |
| Single-item overall quality of interpretation score | |||
| In-persona | 3.78 ± 0.14 | 3.85 ± 0.12 | a vs b = 0.39 |
| VMIb | 3.98 ± 0.05 | 3.94 ± 0.04 | a vs c = 0.95 |
| Telephonec | 3.94 ± 0.15 | 3.83 ± 0.14 | b vs c = 0.41 |
1 = poor, 2 = fair, 3 = good, 4 = very good, 5 = excellent
*Adjusted means are from linear mixed models controlling for patient language, age, gender, education, comorbidities, whether the provider was the patient’s primary care provider (PCP), the number of problems listed in the visit note, health literacy, frequency of visits in the past year, and length of time as a patient within the practice
**p values adjusted for clustering of patients within physicians
***Cronbach alpha for 5-item scale = 0.964