| Literature DB >> 26770809 |
Talia Pindyck1, Summers Kalishman2, Lainey Flatow-Trujillo3, Karla Thornton4.
Abstract
BACKGROUND: American Indians/Alaskan Natives have a high mortality associated with hepatitis C virus, yet treatment rates are low. The ECHO (Extension for Community Healthcare Outcomes) model(™), a videoconferencing technology for primary care providers, is underutilized at Indian Health Service facilities.Entities:
Keywords: Infectious diseases; Native Americans/Alaskan Natives; TeleECHO; gastroenterology/hepatology; primary care; rural health
Year: 2015 PMID: 26770809 PMCID: PMC4679318 DOI: 10.1177/2050312115612805
Source DB: PubMed Journal: SAGE Open Med ISSN: 2050-3121
Characteristics of Survey Respondents.
| Number of participants | Active Participant Survey | Non-Participant Survey | p value | ||
|---|---|---|---|---|---|
| 12 | 20 | ||||
| IHS sites | |||||
| IHS regional areas | 5 | 5 | |||
| ID/GI on site | 2 | 18% | 8 | 57% | 0.1 |
| IHS facility reported | 11 | 92% | 14 | 70% | |
| Profession | |||||
| Physician | 5 | 42% | 12 | 60% | 0.47 |
| Pharmacist | 4 | 33% | 6 | 30% | 1 |
| PA/NP | 3 | 25% | 2 | 10% | 0.34 |
| Years in active clinical practice | |||||
| 0–5 years | 10 | 83% | 10 | 50% | 0.08 |
| 6–20 years | 0 | 0% | 8 | 40% | 0.01 |
| >20 years | 2 | 17% | 2 | 10% | 0.62 |
| Years out of training | |||||
| 0–5 years | 10 | 83% | 9 | 45% | 0.06 |
| 6 or more years | 2 | 17% | 11 | 55% | |
| Number of HCV patients on panel | |||||
| <5 | 2 | 17% | 8 | 42% | 0.24 |
| 5–30 | 5 | 42% | 5 | 26% | 0.45 |
| >30 | 5 | 42% | 6 | 32% | 0.71 |
| No response | 0 | 0% | 1 | ||
IHS: Indian Health Service; ID/GI: Infectious Disease/Gastroenterology subspecialist; PA/NP: Physician Assistant/Nurse Practitioner; HCV: hepatitis C virus.
Unknowns excluded from denominator.
Non-Participant Survey (NPS) Respondents: Barriers to Using HCV ECHO.
| Not a barrier (1) | Minor barrier (2) | Moderate barrier (3) | Major barrier (4) | N/A[ | Median | Quartile (Q1–Q3)[ | |
|---|---|---|---|---|---|---|---|
| Lack of technology or institutional support to implement software | 8 | 1 | 7 | 3 | 1 | 3 | (1, 3) |
| 42% | 5% | 37% | 16% | ||||
| Lack of administrative time to participate in HCV TeleECHO clinic | 1 | 1 | 4 | 12 | 2 | 4 | (3, 4) |
| 6% | 6% | 22% | 67% | ||||
| I am concerned about the legal ramifications of treating HCV, regardless of whether the patient is co-managed with the HCV TeleECHO clinic | 17 | 2 | 0 | 0 | 1 | 1 | (1, 1) |
| 89% | 11% | 0% | 0% | ||||
| Lack of clerical support to gather data for patient presentations to HCV TeleECHO clinic | 6 | 4 | 5 | 3 | 2 | 2 | (1, 3) |
| 33% | 22% | 28% | 17% | ||||
| There is an infectious disease subspecialist at my IHS site | 8 | 2 | 1 | 1 | 8 | 1 | (1, 2) |
| 67% | 17% | 8% | 8% | ||||
| I don’t think TeleECHO is an adequate method of co-managing treatment | 16 | 1 | 0 | 0 | 3 | 1 | (1, 1) |
| 94% | 6% | 0% | 0% | ||||
| HCV TeleECHO clinic is not sensitive to the specific needs of my native patients | 16 | 2 | 0 | 0 | 2 | 1 | (1, 1) |
| 89% | 11% | 0% | 0% |
HCV: hepatitis C virus.
N/A were not included in the calculation of median and quartiles.
Q1 = 25th percentile; Q3 = 75th percentile.
Active Participant Survey (APS) Respondents: Benefits to Using HCV ECHO.
| Not a benefit | Minor benefit | Moderate benefit | Major benefit | N/A[ | Median | Quartile (Q1–Q3)[ | |
|---|---|---|---|---|---|---|---|
| Being well-informed about symptoms in HCV | 0 | 0 | 2 | 10 | 0 | 4 | (4, 4) |
| 0% | 0% | 17% | 83% | ||||
| Self-efficacy: belief in my ability to manage and treat HCV | 0 | 0 | 4 | 7 | 1 | 4 | (3, 4) |
| patients | 0% | 0% | 36% | 64% | |||
| Access to expertise in behavioral/mental health resources | 0 | 0 | 4 | 7 | 1 | 4 | (3, 4) |
| 0% | 0% | 33% | 58% | ||||
| Access to expertise in pharmacy | 0 | 0 | 3 | 8 | 1 | 4 | (3.5, 4) |
| 0% | 0% | 27% | 73% | ||||
| Collegial discussion with peers about HCV patients | 0 | 0 | 1 | 11 | 0 | 4 | (4, 4) |
| 0% | 0% | 8% | 92% |
HCV: hepatitis C virus.
N/A were not included in the calculation of median and quartiles.
Q1 = 25th percentile; Q3 = 75th percentile.