| Literature DB >> 35774932 |
Nicolas Nagot1, Morgana D'Ottavi1, Catherine Quillet1, Anne Debellefontaine1, Joëlle Castellani1, Nicolas Langendorfer2, Bertrand Hanslik2, Sylvain Guichard3, René Baglioni2, Vincent Faucherre2, Edouard Tuaillon1, Georges-Philippe Pageaux4, Didier Laureillard1, Hélène Donnadieu-Rigole1.
Abstract
Background: Elimination of hepatitis C virus (HCV) among people who use drugs (PWUD) remains a challenge even in countries in which HCV care is provided free of cost. We assessed whether an innovative community-based, respondent-driven sampling (RDS) survey, coupled with HCV screening and immediate treatment, could be efficient to detect and cure current PWUD with chronic HCV in a large city of Southern France.Entities:
Keywords: Costs and cost analysis; drug users; hepatitis C; intervention; mass screening
Year: 2022 PMID: 35774932 PMCID: PMC9239554 DOI: 10.1093/ofid/ofac181
Source DB: PubMed Journal: Open Forum Infect Dis ISSN: 2328-8957 Impact factor: 4.423
Figure 1.Recruitment rate per week of respondent-driven sampling survey, September 15, 2020 to November 27, 2020.
Figure 2.Participants flow chart.
Abbreviations: AME, Aide médicale de l'Etat (Medical financial assistance from the government); HCV, hepatitis C virus; RDS, respondent-driven sampling; RNA, ribonucleic acid.
Characteristics of PWUD Enrolled in the RDS Survey
| Category | Subcategory | Total | Anti-HCV Positive | Anti-HCV Negative |
|
|---|---|---|---|---|---|
| N (%) | N (%) | N (%) | |||
| No. of participants | 554 (100.0) | 181 (32.7) | 373 (67.3) | ||
| Sociodemographic Characteristics | |||||
| Gender | Male | 437 (78.8) | 149 (82.3) | 288 (77.2) | .304 |
| Female | 115 (20.8) | 31 (17.1) | 84 (22.5) | ||
| Transgender | 2 (0.4) | 1 (0.6) | 1 (0.3) | ||
| Age | <30 | 97 (17.5) | 12 (6.6) | 85 (22.8) | .000[ |
| 30-39 | 190 (34.3) | 59 (32.6) | 131 (35.1) | ||
| 40–49 | 181 (32.7) | 64 (35.4) | 117 (31.4) | ||
| ≥50 | 86 (15.5) | 46 (25.4) | 40 (10.7) | ||
| Nationality by region | West European | 431 (77.8) | 126 (69.6) | 305 (81.8) | .000[ |
| East European | 74 (13.4) | 51 (28.2) | 23 (6.2) | ||
| North African | 31 (5.6) | 4 (2.2) | 27 (7.2) | ||
| Sub-Saharan African | 17 (3.1) | – | 17 (4.6) | ||
| Other | 1 (0.2) | – | 1 (0.3) | ||
| Socioeconomic Characteristics | |||||
| Sources of revenue[ | Professional activities | 71 (12.8) | 19 (10.5) | 52 (13.9) | .255 |
| Benefits/Social minimums | 348 (62.8) | 110 (60.8) | 238 (63.8) | .488 | |
| Begging | 130 (23.5) | 61 (33.7) | 69 (18.5) | .000[ | |
| Family | 36 (6.5) | 8 (4.4) | 28 (7.5) | .167 | |
| Illegal activities | 81 (14.6) | 31 (17.1) | 50 (13.4) | .245 | |
| Living situation | Isolated | 271 (48.9) | 97 (53.6) | 174 (46.7) | .129 |
| Cohabiting | 83 (15.0) | 19 (10.5) | 64 (17.2) | ||
| With family | 61 (11.0) | 48 (26.5) | 91 (24.4) | ||
| With friends | 139 (25.1) | 17 (9.4) | 44 (11.8) | ||
| Dwelling | Stable | 142 (25.6) | 38 (21.0) | 104 (27.9) | .005[ |
| Temporary | 185 (33.4) | 59 (32.6) | 126 (33.8) | ||
| Squat | 125 (22.6) | 36 (19.9) | 89 (23.9) | ||
| Homeless | 102 (18.4) | 48 (26.5) | 54 (14.5) | ||
| Ever been incarcerated | Yes | 289 (52.2) | 120 (66.3) | 169 (45.3) | .000[ |
| Drug Use Behavior | |||||
| Self-report of substance consumed in the past 6 months[ | Cocaine | 405 (73.1) | 134 (74.0) | 271 (72.7) | .731 |
| Heroin | 229 (46.8) | 76 (42.0) | 183 (49.1) | .118 | |
| Analgesic opioid | 176 (31.8) | 77 (42.5) | 99 (26.5) | .006[ | |
| Crack | 236 (42.6) | 62 (34.3) | 174 (46.7) | .000[ | |
| Method of consumption[ | Injected | 194 (35.0) | 128 (70.7) | 66 (17.7) | .000[ |
| Sniffed | 389 (70.2) | 81 (44.8) | 308 (82.6) | .000[ | |
| Smoked | 288 (52.0) | 80 (44.2) | 208 (55.8) | .011[ | |
| Ingested | 435 (78.5) | 141 (77.9) | 294 (78.8) | .805 | |
| Taking ORT (methadone or buprenorphine, regardless whether taken as prescribed or not) | Yes | 334 (60.3) | 147 (81.2) | 187 (50.1) | .000[ |
| Sharing injection materials[ | Yes | 64 (11.6) | 45 (24.9) | 19 (5.1) | .000[ |
| Needles | 35 (6.3) | 27 (14.9) | 8 (2.1) | .000[ | |
| Syringes | 42 (7.6) | 33 (18.2) | 9 (2.4) | .000[ | |
| Cottons/filters | 44 (7.9) | 31 (17.1) | 13 (3.5) | .000[ | |
| Spoons/cups | 45 (8.1) | 32 (17.7) | 13 (3.5) | .000[ | |
| Water/vials | 42 (7.6) | 31 (17.1) | 11 (3.0) | .000[ | |
| Tourniquet | 36 (6.5) | 24 (13.3) | 13 (3.2) | .000[ | |
| Other | 19 (3.4) | 1 (0.6) | 2 (0.5) | .980 | |
| Health Status | |||||
| Health insurance | Basic coverage plan | 188 (33.9) | 64 (35.4) | 124 (33.2) | .197 |
| PUMA or AME[ | 286 (51.6) | 85 (47.0) | 201 (53.9) | ||
| None | 80 (14.4) | 32 (17.7) | 48 (12.9) | ||
| Ever been hospitalized in a psychiatric hospital | Yes | 145 (26.2) | 62 (34.3) | 83 (22.3) | .003[ |
| Positive HIV serology | 17 (3.1) | 12 (6.6) | 5 (1.3) | .001[ | |
| Detectable HBsAg | 8 (1.4) | 7 (3.9) | 1 (0.3) | .001‡ | |
| Positive HCV serology (crude) | 181 (32.6) | 181 (32.6) | … | – | |
| Positive HCV serology (weighted) | 181 (28.7) | 181 (28.7) | … | ||
| Viremia prevalence (crude) | 49 (8.8) | 49 (8.8) | … | ||
| Viremia prevalence (weighted) | 49 (6.7) | 49 (6.7) | … | ||
| Liver fibrosis (elastography) | F0/F1 (2.5 ≤ LSM ≤ 7) | 30 (69.8)[ | 30 (69.8)[ | … | |
| F2 (7 < LSM ≤ 10) | 3 (6.9)[ | 3 (6.9)[ | … | ||
| F3/F4 (LSM >10) | 10 (23.3)[ | 10 (23.3)[ | … | ||
Abbreviations: AME, aide médicale de l’Etat (medical financial assistance from the government); HBsAg, hepatitis B surface antigen; HCV, hepatitis C virus; HIV, human immunodeficiency virus; LSM, liver stiffness measurement; ORT, opioid replacement therapy; PUMA, Protection Universelle Maladie (universal health insurance); PWUD, people who use drugs; RDS, respondent-driven sampling.
P values are calculated for each class individually to account for nonindependent groups.
P values were calculated using Pearson’s χ2 test of independence, with the threshold for statistical significance set at α < 0.05.
Cramér's V for statistically significant P values: age = 0.2547, region = 0.3312, begging as revenue = 0.1683, dwelling = 0.1517, ever been in jail = 0.1993, crack = −0.1176, analgesic opioids = 0.1612, injection = 0.5213, sniff = −0.3879, smoke = −0.1086, sharing injection materials = 0.2900, sharing needles = 0.2462, syringes = 0.2803, cottons = 0.2366, spoons = 0.2437, vials = 0.2512, tourniquet = 0.1911, ever been hospitalized in psych ward = 0.1281, HIV positive = 0.1438, detectable HBsAg = 0.1415.
Participants may be in more than 1 category.
Description of the 4 most common answers.
Universal health coverage scheme for resident in France.
43 of 49 PWID with RNA HCV+ realized a FribroScan at the 1st follow-up visit.
Costs Associated With the RDS Survey and Follow-up Visits
| Category |
|
|---|---|
| Number of patients | 554 |
| Number of patients with chronic HCV eligible for treatment | 49 |
| Number of patients who completed the treatment | 30 |
| Number of cured patients | 27 |
| Total cost of RDS survey | 89 004 € |
| Total cost per screened patient (at RDS survey) | 161 € |
| Total cost to identify a patient with chronic HCV | 1816 € |
| Total cost of the follow-up visits | 825 691 € |
| Total cost of the intervention (RDS survey and follow-up visits) | 914 695 € |
| Total cost per patient with chronic HCV | 18 667 € |
| Total cost per patient who completed the treatment | 30 490 € |
| Total cost per cured patient | 33 878 € |
Abbreviations: HCV, hepatitis C virus; RDS, respondent-driven sampling.