| Literature DB >> 30288324 |
Debra A O'Leary1, Eleanor Cropp1, David Isaac2,3, Paul V Desmond1, Sally Bell1, Tin Nguyen1, Darren Wong1, Jessica Howell1, Jacqui Richmond4,5,6, Jenny O'Neill7, Alexander J Thompson1.
Abstract
BACKGROUND: The current model of care for the treatment of chronic hepatitis B (CHB) in Australia is through specialist Hepatology or Infectious Diseases clinics, and limited accredited primary care practices. Capacity is limited, and less than 5% of Australians living with CHB currently access therapy. Increasing treatment uptake is an urgent area of clinical need. Nucleos(t)ide analogue therapy is safe and effective treatment for CHB that is suitable for community prescribing. We have evaluated the success of a community-based model for the management of CHB in primary care clinics using a novel web-based clinical tool.Entities:
Keywords: B in IT; Chronic hepatitis B; Compliance; General practitioners; HCC screening; Hepatologists; Liver cancer; Primary care; Shared care; Specialists
Year: 2018 PMID: 30288324 PMCID: PMC5918916 DOI: 10.1186/s41124-017-0031-2
Source DB: PubMed Journal: Hepatol Med Policy ISSN: 2059-5166
Fig. 1The “B in IT” model of care. Following routine diagnosis at a community GP clinic and referral to the hospital liver clinic for assessment, patients with CHB suitable for discharge back to their GP were identified. For patients who chose to be monitored by their GP, compliance with recommended tests and review appointments was monitored remotely by hospital staff via the EpiSoft web-based clinical guide. Alarm bell messages built into each electronic treatment protocol were used to identify progression of disease and signal if and when a GP should refer the patient back to the hospital liver clinic
Fig. 2Algorithm for selection of “B in IT” shared care treatment protocols. A hospital liver specialist would assess each patient with CHB to determine their phase of disease, and whether antiviral medication was required. Age, ethnicity and family history of HCC would determine whether twice yearly liver ultrasound was required for HCC screening. This allowed for selection of the most appropriate GP-managed treatment protocol (GP1 – GP8) for those patients who chose to be monitored by their community-based GP. EpiSoft was used to send electronic treatment protocols into the relevant practice management software via secure messaging
Fig. 3Identification of CHB patients suitable for “B in IT” shared care. All patients with CHB referred to the hospital liver clinic by the four participating “B in IT” GP clinics between August 2013 and June 2016 were assessed for their suitability for shared care. Patients were deemed lost to follow up at the liver clinic if they failed to attend three scheduled appointments. Undetermined phase of disease, complex co-morbidities, history of HCC or cirrhosis were all reasons why patients were deemed unsuitable
Patient Demographics
| Characteristic | “B in IT” patients | Control patients | |
|---|---|---|---|
| Total Number | 30 | 60 | |
| Female | 19 (63.3%) | 38 (63.3%) | 1.000 |
| Male | 11 (36.7%) | 22 (36.7%) | 1.000 |
| Age (years) mean ± SD | 55.6 ± 12.6 | 55.3 ± 11.6 | 0.985 |
| Female | 53.8 ± 10.7 | 54.0 ± 10.4 | 0.867 |
| Male | 58.6 ± 15.4 | 57.6 ± 13.4 | 0.889 |
| Ethnicity | |||
| Asian | 24 (80%) | 48 (80%) | 1.000 |
| Sub-Saharan African | 3 (10%) | 6 (10%) | 1.000 |
| European | 2 (6.7%) | 4 (6.7%) | 1.000 |
| Pacific Islander | 1 (3.3%) | 2 (3.3%) | 1.000 |
| Preferred Language | |||
| English | 12 (40%) | 30 (50%) | 0.502 |
| Vietnamese | 6 (20%) | 14 (23.3%) | 0.794 |
| Mandarin | 4 (13.3%) | 7 (11.7%) | 1.000 |
| Hakka Timorese | 3 (10%) | 1 (1.7%) | 0.106 |
| Cantonese | 2 (6.7%) | 4 (6.7%) | 1.000 |
| Other | 3 (10%) | 4 (6.7%) | 0.682 |
| Liver Clinic Visits | |||
| < 5 | 10 (33.3%) | 11 (18.3%) | 0.185 |
| 5-10 | 8 (26.7%) | 13 (21.7%) | 0.791 |
| > 10 | 12 (40%) | 36 (60%) | 0.116 |
| Breaks in care (> 1 year) | |||
| N/A (seen < 1 year) | 9 (30%) | 4 (6.7%) | 0.005a |
| 0 | 12 (40%) | 47 (78.3%) | 0.0005a |
| 1 | 7 (23.3%) | 6 (10%) | 0.115 |
| 2 | 1 (3.3%) | 3 (5%) | 1.000 |
| > 2 | 1 (3.3%) | 0 (0%) | 0.333 |
| HBeAg Status | |||
| Negative | 29 (96.7%) | 57 (95%) | 1.000 |
| Positive | 1 (3.3%) | 3 (5%) | 1.000 |
| Phase of disease | |||
| 1 – immune tolerance | 0 (0%) | 0 (0%) | 1.000 |
| 2 – immune clearance | 1 (3.3%) | 3 (5%) | 1.000 |
| 3 – immune control | 23 (76.7%) | 44 (73.3%) | 0.802 |
| 4 – immune escape | 5 (16.7%) | 9 (15%) | 1.000 |
| Cleared (HBsAb positive) | 1 (3.3%) | 4 (6.7%) | 0.661 |
| Cirrhosis | 0 (0%) | 0 (0%) | 1.000 |
| Treatment type | |||
| Monitoring | 24 (80%) – 20 with HCC screening | 48 (80%) – 40 with HCC screening | 1.000 |
| Antiviral therapy | 6 (20%) – 5 with HCC screening | 12 (20%) – 10 with HCC screening | 1.000 |
| Entecavir | 5 (16.7%) | 10 (16.7%) | 1.000 |
| Tenofovir | 1 (3.3%) | 2 (3.3%) | 1.000 |
SD standard deviation, N/A not applicable, HBeAg hepatitis B e antigen, HBsAb hepatitis B surface antibody; astatistically significant
“B in IT” patient compliance
| Attendance 1st visit | Attendance overall | Pathology 1st visit | Pathology overall | Ultrasound 1st visit | Ultrasound overall | |
|---|---|---|---|---|---|---|
| Total scheduled | 30 | 115 | 30 | 115 | 24 | 84 |
| Completed +/− 1 month | 25 (83.3%) | 100 (87.0%) | 27 (90.0%) | 108 (93.9%) | 20 (83.3%) | 75 (89.3%) |
| Completed +/− 3 months | 26 (86.7%) | 109 (94.8%) | 27 (90.0%) | 111 (96.5%) | 21 (87.5%) | 79 (94.0%) |
Comparison of compliance between patient groups
| Attendance compliancea | Pathology complianceb | Ultrasound compliancec | ||||
|---|---|---|---|---|---|---|
| 1st year | overall | 1st year | overall | 1st year | overall | |
| “B in IT” patients | 83.3% | 86.7% | 90.0% | 90.0% | 87.5% | 87.5% |
| “B in IT” patients prior to discharge | 63.3% | 50.0%d | 66.7%d | 57.7%d | 55.6%d | 26.3%d |
| Control patients | 68.3% | 40.0%d | 80.0% | 63.3%d | 47.7%d | 10.0%d |
Attendance of all scheduled visits; completion of two liver function tests per year; completion of two liver ultrasounds per year; dstatistically significant difference from “B in IT” patient group