| Literature DB >> 24352635 |
Kalman Tokes1, Syed Quadri, Patrick Cahill, Grace Chiu, Angel Ivanov, Hong Tang.
Abstract
BACKGROUND: In the US, over 1 million Asian Americans are estimated to be living with chronic hepatitis B (CHB). Research has shown low awareness of CHB and different attitudes towards its treatment among the diverse ethnicities of Asian Americans.Entities:
Mesh:
Substances:
Year: 2013 PMID: 24352635 PMCID: PMC3930796 DOI: 10.1007/s11606-013-2673-0
Source DB: PubMed Journal: J Gen Intern Med ISSN: 0884-8734 Impact factor: 5.128
Attribute Definitions Used in the Discrete Choice Model and Product Preference Analysis
| Attribute | Description | Possible levels (used in the discrete choice model) |
|---|---|---|
| Long-term efficacy | Doctors’ estimate of the probability that the medicine will continue to work well for 5 years | 71 % |
| 85 % | ||
| 92 % | ||
| 5-year risk of thinning of bones | Doctors’ estimate of the probability that you will have thinning of bones if you take the medicine for 5 years | < 1 % |
| 7 % | ||
| 14 % | ||
| 5-year risk of kidney disease | Doctors’ estimate of the probability that you will have kidney damage if you take the medicine for 5 years | < 1 % |
| 10 % | ||
| 20 % | ||
| Weight of evidence | How many patients have been prescribed the medicine worldwide | 100,000 |
| 200,000 | ||
| 400,000 | ||
| Weight of evidence | How many years the medicine has been approved in the US | 2 years |
| 4 years | ||
| 6 years | ||
| Cost | Out-of-pocket cost of this medicine to you each month, assuming that you will have to take it for at least 12 months | $0 |
| $50 | ||
| $100 | ||
| $150 |
Participant Demographics and Treatment Status (N = 252)
| Classification |
| ||
| Gender | Male | 128 (51) | |
| Female | 124 (49) | ||
| Age | 18–45 | 138 (55) | |
| 46–65 | 114 (45) | ||
| Region | New York/New Jersey | 85 (34) | |
| San Francisco/Bay Area | 85 (34) | ||
| Los Angeles/Orange County | 82 (32) | ||
| Ethnicity | Chinese | 90 (36) | |
| Vietnamese | 85 (34) | ||
| Korean | 77 (31) | ||
| Place of birth | USA | 18 (7) | |
| Asia* | 234 (93) | ||
| Education | Less than high school | 12 (5) | |
| High school graduate | 58 (23) | ||
| Some college/university | 56 (22) | ||
| University graduate/Post graduate | 126 (50) | ||
| Employment status | Full-time employed | 111 (44) | |
| Part-time employed | 57 (23) | ||
| Self-employed | 20 (8) | ||
| Not employed/student | 40 (16) | ||
| Homemaker | 13 (5) | ||
| Retired | 11 (4) | ||
| Household income | < $20,000 per year | 40 (16) | |
| ≥ $20,000–$35,000 per year | 64 (25) | ||
| > $35,000–$50,000 per year | 49 (19) | ||
| > $50,000–$75,000 per year | 46 (18) | ||
| > $75,000–$100,000 per year | 25 (10) | ||
| > $100,000 per year | 16 (6) | ||
| Prefer not to say | 12 (5) | ||
| Treated ( | Treatment-naïve ( | ||
| Current medication | Entecavir | 51 (46) | NA |
| Tenofovir | 28 (25) | ||
| Adefovir | 27 (24) | ||
| Lamivudine | 4 (4) | ||
| Unknown | 1 (1) | ||
| Frequency of CHB doctor visits | Once per month | 7 (6) | 0 |
| Every 3 months | 45 (41)† | 13 (9) | |
| Every 6 months | 45 (41) | 60 (43) | |
| Once per year | 8 (7) | 51 (36)† | |
| Once every 1–2 years | 6 (5) | 17 (12)† | |
| Medical insurance | Total with insurance | 87 (78) | 108 (77) |
| Employer plan | 34 (39) | 59 (55)† | |
| Family Health Plus | 19 (22)† | 10 (9) | |
| Other self-paid | 8 (9) | 16 (15) | |
| Medicare§ | 9 (10) | 12 (11) | |
| Medicaid∥ | 12 (14) | 7 (6) | |
| Unknown | 5 (6) | 4 (4) | |
NA not applicable
*Mean length of residence in USA 16 years
†Significantly higher than the other group (p < 0.05)
‡Family Health Plus is a US public health insurance program for adults who have income too high to qualify for Medicaid
§Medicare is a social insurance program administered by the US government for Americans over 65 years of age and younger persons with disabilities, end-stage renal disease or Lou Gehrig’s disease
∥Medicaid is the US means-tested health program for persons with low income
Relative Impact of Product Attributes on Product Choice in the Discrete Choice Model, Overall and by Ethnicity and Treatment Status
| % relative importance of attributes | Total ( | Ethnicity | Treatment status | |||
|---|---|---|---|---|---|---|
| Chinese ( | Korean ( | Viet ( | Treated ( | Naïve ( | ||
| Long-term (5-year) risk of kidney damage | 37.9 | 37.8 | 38.0 | 38.0 | 36.6 | 38.7 |
| Monthly out-of-pocket cost | 23.4 | 23.5 | 23.4 | 23.4 | 27.9 | 20.9 |
| Long-term (5-year) risk of bone thinning | 18.0 | 18.4 | 17.6 | 17.9 | 13.2 | 20.7 |
| Long-term (5-year) efficacy | 9.0 | 9.0 | 9.0 | 8.9 | 7.2 | 10.0 |
| Time approved in US market | 6.8 | 6.5 | 7.1 | 6.8 | 7.5 | 6.4 |
| Level of use (no. of patients worldwide) | 4.9 | 4.7 | 4.9 | 5.0 | 7.7 | 3.3 |
Figure 1Discrete choice model sensitivity analysis showing the impact on the relative preference for hypothetical products A (◊) or B (▪) caused by changes in the levels of their individual attributes. Base case attributes for each product are shown in the table at the top of the figure. Each figure panel represents the effect of changing the levels of one product attribute at a time, while all other attributes for each product remain at base case (indicated by the arrows on each panel).
Figure 2Likelihood of taking Product A at different monthly out-of-pocket costs, among all participants, Treated participants, and Treatment-naïve participants. *Percent of participants responding ‘definitely’ or ‘quite likely’ to the question “How likely would you be to take this medication under each of the following monthly costs (assuming the regimen takes at least 12 months)?” $300, $350, $400, $450 price points were not measured; the dotted lines represent the extrapolated trend.
Figure 3Treatment attitudes by treatment status. *Percent of participants who completely or mostly agree with the statement. †Questions only shown to Treatment-naïve participants.