| Literature DB >> 35722739 |
Michael W Traeger1,2, Daniela K van Santen1,2,3, Rachel Sacks-Davis1,2, Jason Asselin1, Allison Carter4,5,6, Joseph S Doyle1,7, Alisa Pedrana1,2, Anna L Wilkinson1,2, Jessica Howell1,8,9, Rebecca Thatcher10, John Didlick11, Basil Donovan4,12, Rebecca Guy4, Margaret E Hellard1,7,13, Mark A Stoové1,2.
Abstract
In 2020, the Australian state of Victoria experienced the longest COVID-19 lockdowns of any jurisdiction, with two lockdowns starting in March and July, respectively. Lockdowns may impact progress towards eliminating hepatitis C through reductions in hepatitis C testing. To examine the impact of lockdowns on hepatitis C testing in Victoria, de-identified data were extracted from a network of 11 services that specialize in the care of people who inject drugs (PWID). Interrupted time-series analyses estimated weekly changes in hepatitis C antibody and RNA testing from 1 January 2019 to 14 May 2021 and described temporal changes in testing associated with lockdowns. Interruptions were defined at the weeks corresponding to the start of the first lockdown (week 14) and the start (week 80) and end (week 95) of the second lockdown. Pre-COVID, an average of 80.6 antibody and 25.7 RNA tests were performed each week. Following the first lockdown in Victoria, there was an immediate drop of 23.2 antibody tests and 8.6 RNA tests per week (equivalent to a 31% and 46% drop, respectively). Following the second lockdown, there was an immediate drop of 17.2 antibody tests and 4.6 RNA tests per week (equivalent to a 26% and 33% drop, respectively). With testing and case finding identified as a key challenge to Australia achieving hepatitis C elimination targets, the cumulative number of testing opportunities missed during lockdowns may prolong efforts to find, diagnose and engage or reengage in care of the remaining population of PWID living with hepatitis C.Entities:
Keywords: COVID-19; hepatitis C; lockdowns; people who inject drugs
Mesh:
Substances:
Year: 2022 PMID: 35722739 PMCID: PMC9350356 DOI: 10.1111/jvh.13723
Source DB: PubMed Journal: J Viral Hepat ISSN: 1352-0504 Impact factor: 3.517
Total number of consultations and HCV tests conducted during the pre and post‐COVID study periods across all included services
| Whole study period | Period 1 c, Pre‐lockdown period | Period 2, First/post‐first lockdown period | Period 3, Second lockdown period | Period 4, Post‐lockdowns | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 Jan 2019–24 May 2021 | 1 January 2019–31 March 2020 | 1 April 2020–7 July 2020 | 8 July 2020–27 October 2020 | 28 October 2020–24 May 2021 | |||||||||||||
| Outcome | Outcome total | Number unique individuals | Outcome total | Number unique individuals | Weekly mean | Outcome total | Number unique individuals | Weekly mean | Relative change in weekly mean compared to period 1 | Outcome total | Number unique individuals | Weekly mean | Relative change in weekly mean compared to period 1 | Outcome total | Number unique individuals | Weekly mean | Relative change in weekly mean compared to period 1 |
| Antibody tests | 8748 | 7812 | 5237 | 4925 | 80.6 | 817 | 804 | 58.4 | −28% | 817 | 810 | 51.1 | −37% | 1877 | 1824 | 62.6 | −22% |
| RNA tests | 2403 | 2001 | 1673 | 1521 | 25.7 | 160 | 155 | 11.4 | −56% | 187 | 183 | 11.7 | −54% | 383 | 368 | 12.8 | −50% |
| First‐time testers | 5817 | 5817 | 3570 | 3570 | 54.9 | 536 | 536 | 38.3 | −30% | 527 | 527 | 32.9 | −40% | 1184 | 1184 | 39.5 | −28% |
| Consultations | 685,004 | 103,341 | 340,908 | 74,296 | 5244.7 | 78,558 | 36,959 | 5611.3 | 7% | 89,669 | 37,258 | 5604.3 | 7% | 175,869 | 53,846 | 5862.3 | 12% |
Estimated regression coefficients from interrupted time‐series analyses
| Interruption | Weekly number of antibody tests | Weekly number of RNA tests | Weekly number of first‐time testers | Weekly number of consultation | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Coefficient | 95% CI |
| Coefficient | 95% CI |
| Coefficient | 95% CI |
| Coefficient | 95% CI |
| |||
| Period 1 trend | β1 | −0.17 | −0.35–0.01 | .058 | −0.21 | −0.35 to −0.07 | .003 | −0.12 | −0.26 to 0.01 | .075 | 2.65 | −6.65 to 11.95 | .574 | |
| First lockdown implemented | Absolute level change at start of first lockdown | Β2 | −23.2 | −38.4 to −8.1 | .003 | −8.6 | −19.3 to 2.1 | .115 | −18.3 | −30 to −6.6 | .002 | −91 | −857.5 to 675.6 | .815 |
| Period 2 trend | 1.03 | −0.75 to 2.8 | .254 | 0.27 | −0.98 to 1.52 | .673 | 0.89 | −0.48 to 2.26 | .202 | 57.22 | −32.32 to 146.75 | .208 | ||
| Difference in trends (Period 2 – Period 1) | Β3 | 1.2 | −0.59 to 2.98 | .186 | 0.48 | −0.79 to 1.74 | .456 | 1.01 | −0.37 to 2.39 | .149 | 54.57 | −35.66 to 144.79 | .233 | |
| Second lockdown implemented | Absolute level change at start of second lockdown | Β4 | −17.2 | −37 to 2.5 | .087 | −4.6 | −18 to 8.8 | .499 | −16.4 | −31.6 to −1.2 | .035 | −421.4 | −1401.5 to 558.8 | .396 |
| Period 3 trend | 0.3 | −1.15 to 1.76 | .679 | 0.34 | −0.7 to 1.37 | .52 | 0.61 | −0.52 to 1.73 | .287 | −1.15 | −74.89 to 72.58 | .975 | ||
| Difference in trends (Period 3 – Period 2) | Β5 | −0.72 | −3.02 to 1.58 | .535 | 0.07 | −1.62 to 1.76 | .934 | −0.28 | −2.06 to –1.5 | .755 | −58.37 | −176.71 to 59.97 | .331 | |
| Second lockdown ended | Absolute level change at end of second lockdown | Β6 | 6.8 | −10.2 to 23.8 | .430 | −4.00 | −15.9 to 7.9 | .509 | 1.8 | −11.3 to 14.9 | .789 | −181.2 | −1036.7 to 674.2 | .676 |
| Period 4 trend | 0.14 | −0.42 to 0.71 | .618 | 0.15 | −0.28 to 0.57 | .494 | −0.04 | −0.47 to 0.4 | .869 | 31 | 1.68–60.32 | .038 | ||
| Difference in trends (Period 4 – Period 3) | Β7 | −0.16 | −1.72 to 1.4 | .839 | −0.19 | −1.33 to 0.95 | .74 | −0.64 | −1.85 to 0.56) | .294 | 32.15 | −48.02 to 112.33 | .429 | |
| Model fit, R | 0.415 (1007.820) | 0.3086 (866.825) | 0.451 (940.802) | 0.0818 (1957.710) | ||||||||||
Predicted values and relative level change at each interruption
| Predicted value at week 66 (period 1 trends) | Predicted value at week 66 (period 2 trend) | % Level change at week 66 | Predicted value at week 80 (period 2 trend) | Predicted value at week 80 (period 3 trend) | % Level change at week 80 | Predicted value at week 80 (period 3 trends) | Predicted value at week 80 (period 4 trend) | % Level change at week 80 | |
|---|---|---|---|---|---|---|---|---|---|
| Antibody tests | 74.9 | 51.7 | −31% | 66.1 | 48.8 | −26 | 53.7 | 60.5 | 13 |
| RNA tests | 18.7 | 10.1 | −46% | 13.8 | 9.2 | −33 | 14.6 | 10.6 | −27 |
| First‐time HCV tested | 50.8 | 32.5 | −36% | 44.9 | 28.5 | −37 | 38.2 | 40 | 5 |
| Consultations | 5327.6 | 5236.6 | −2% | 6037.6 | 5616.3 | −7 | 5597.8 | 5416.6 | −3 |
FIGURE 1Interrupted time‐series analysis of weekly number of (A) HCV antibody tests, (B) HCV RNA tests, (C) people tested for HCV (Ab or RNA) for the first time on record and (D) clinical consultations, across 11 Victorian services. Dashed lines show interruptions at week 66—start of first lockdown, week 80—start of second lockdown and week 96—end of second lockdown. Dots represent actual weekly number and solid line predicted weekly number
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| X = 0 prior to first lockdown, X = 1 after introduction of first lockdown |
| Z = 0 prior to second lockdown, Z = 1 after introduction of second lockdown |
| A = 0 prior to end of second lockdown, A = 1 after end of second lockdown |
| Β0 = Intercept (predicted weekly count at Week 1: 1–7 January 2019) |
| β1 = Period 1 trend (estimated weekly change in outcome during the pre‐lockdown period) |
| β2 = Level change at start of first lockdown |
| β3 = Difference between period 2 and period 1 trends |
| β4 = Level change at start of second lockdown |
| β5 = Difference between period 3 and period 2 trends |
| β6 = Level change at end of second lockdown |
| β7 = Difference between period 4 and period 3 trends |