Impact of war on HIV-related healthcare services and health workers in eastern Ukraine: a qualitative study.

The 2022 Russian invasion of Ukraine has caused serious challenges for healthcare workers (HCWs) and HIV-related healthcare services. This study assessed the effects of the invasion on HCWs wellbeing and on continuity of HIV services, using in-depth interviews with HCWs from facilities offering HIV antiretroviral therapy (ART) and pre-exposure prophylaxis (PrEP) services in the Donetsk region of Eastern Ukraine. A directed content analysis, with both inductive and deductive approaches, was conducted. Ten HCWs (6 [60%] doctors, 4 [40%] nurses; 9 [90%] female) were interviewed. Six respondents were displaced from their homes and worksites, and all described stress and threats to emotional wellbeing. HCWs used online consultations, encrypted mobile communication, and multi-month dispensing to support continuity of ART and PrEP services. They noted immediate needs for psychological and financial support, and access to laptop computers and mobile communications to ensure continuity of HIV services. Priorities for restoration of services include repair of health facilities, restoration of laboratory services and supply chains, and return of personnel and patients. HCWs made innovative, rapid adaptations to HIV services to keep ART and PrEP services running, demonstrating the resolve of Ukrainian HCWs to maintain continuity of HIV services despite the disruptions of war.

Does HIV index testing bring patients into treatment at earlier stages of HIV disease? Results from a retrospective study in Ukraine.

BACKGROUND: Over one-third of people living with HIV (PLH) in Ukraine are not on treatment. Index testing services, which link potentially exposed partners (named partners) of known PLH (index patients) with testing and treatment services, are being scaled in Ukraine and could potentially close this gap. METHODS: This retrospective study included patient data from 14,554 adult PLH who initiated antiretroviral treatment (ART) between October 2018 and May 2021 at one of 35 facilities participating in an intervention to strengthen index testing services. Mixed effects modified Poisson models were used to assess differences between named partners and other ART initiators, and an interrupted time series (ITS) analysis was used to assess changes in ART initiation over time. RESULTS: Compared to other ART initiators, named partners were significantly less likely to have a confirmed TB diagnosis (aRR = 0.56, 95% CI = 0.40, 0.77, p < 0.001), a CD4 count less than 200 cells/mm3 (aRR = 0.84, 95% CI = 0.73, 0.97, p = 0.017), or be categorized as WHO HIV stage 4 (aRR = 0.68, 9% CI = 0.55, 0.83, p < 0.001) at the time of ART initiation, and were significantly more likely to initiate ART within seven days of testing for HIV (aRR = 1.36, 95% CI = 1.22, 1.50, p < 0.001). Our ITS analysis showed a modest 2.34% (95% CI = 0.26%, 4.38%; p = 0.028) month-on-month reduction in mean ART initiations comparing the post-intervention period to the pre-intervention period, although these results were likely confounded by the COVID epidemic. CONCLUSION: Our findings suggest that index testing services may be beneficial in bringing PLH into treatment at an earlier stage of HIV disease and decreasing delays between HIV testing and ART initiation, potentially improving patient outcomes and retention in the HIV care cascade.

Distinctive model for HIV index testing (IT) in Eastern Europe: results of Ukraine's physician-led, integrated IT programme.

OBJECTIVES: The effectiveness of HIV index testing (IT) in Eastern Europe has not been described. This study reports the performance of a scaled IT programme in Ukraine. DESIGN: This observational study included clients enrolled in IT services in 2020, and used routinely collected data from programme registers and the national electronic health record system. SETTING: The study covered 39 public-sector health facilities where IT services were integrated into medical visits for persons living with HIV (PLHIV) already enrolled in HIV care. PARTICIPANTS: Participants included PLHIV with both recent (<6 months) and previously established (≥6 months) HIV diagnoses. INTERVENTION: Ukraine's physician-led IT model involves a cascade of steps including voluntary informed consent, partner elicitation, selection of partner notification method and follow-up with clients to ensure partners are notified, tested for HIV and linked to HIV prevention and treatment services, as needed. PRIMARY AND SECONDARY OUTCOME MEASURES: Outcomes included contact index, testing, index and HIV case-finding index disaggregated by index client (IC) subgroups, including people with current or past injection drug use (PWID) and men who have sex with men (MSM). RESULTS: Of 14 525 ICs offered index testing, 51.9% accepted, of whom 98.3% named at least one sexual, injection or biological child partner. In total, 14.9% of ICs were PWID and 3.5% were MSM. Clients named 8448 unique partners (contact index=1.14). HIV case finding averaged 0.14 cases per client, and was highest among clients with recent HIV diagnosis (0.29) and among PWID (0.23), and lower among clients with established HIV diagnosis (0.07). More than 90% of all partners with new HIV diagnoses were linked to care. CONCLUSIONS: There was a high case-finding index among ICs with recent HIV and high linkage to care for all partners, demonstrating the effectiveness of this integrated, physician-led model implemented in 39 health facilities in Ukraine.

Profile of partners who completed HIV testing and received a new HIV diagnosis in Ukraine's HIV index testing program: a retrospective cohort study to inform program improvement.

BACKGROUND: Approximately one-third of people living with HIV in Ukraine are unaware of their HIV status. Index testing (IT) is an evidence-based HIV testing strategy that supports voluntary notification of partners with HIV risk, so they can receive HIV testing, prevention, and treatment services. METHODS: Ukraine scaled up IT services in 2019. This observational study of Ukraine's IT program covered 39 health facilities located in 11 regions with high HIV burden. The study used routine program data from January-December 2020 to describe the profile of named partners and explore index client (IC) and partner factors associated with two outcomes: 1) completing testing; and 2) HIV case finding. Analysis used descriptive statistics and multilevel linear mixed regression models. RESULTS: The study included 8,448 named partners, of whom 6,959 had unknown HIV status. Among them,72.2% completed HIV testing and 19.4% of those tested were newly diagnosed with HIV. Two-thirds of all new cases were among partners of ICs who were recently diagnosed and enrolled in care (< 6 months), while one third were among partners of established ICs. In adjusted analysis, partners of ICs with unsuppressed HIV viral load (VL) were less likely to complete HIV testing (adjusted odds ratio [aOR] = 0.11, p < 0.001), but more likely to receive a new HIV diagnosis (aOR = 1.92, p < 0.001). Partners of ICs who cited injection drug use or having a known HIV + partner as their own reason for testing were more likely to receive a new HIV diagnosis (aOR = 1.32, p = 0.04 and aOR = 1.71, p < 0.001 respectively). Involving providers in the partner notification process was associated with completed testing (aOR = 1.76, p = 0.001) and HIV case finding (aOR = 1.64, p < 0.01), compared with notification by ICs. CONCLUSION: HIV case detection was highest among partners of recently diagnosed ICs, but IT participation among established ICs still yielded an important share of all newly-identified HIV cases. Areas for improvement in Ukraine's IT program include completing testing for partners of ICs with unsuppressed HIV VL, with history of injection drug use or discordant partnerships. Using intensified follow-up for the sub-groups at risk of incomplete testing may be practical. Greater use of provider-assisted notification could also accelerate HIV case finding.

Comparative Clinical Outcomes With Scale-up of Dolutegravir as First-Line Antiretroviral Therapy in Ukraine.

BACKGROUND: Achievement of the UNAIDS 95-95-95 targets requires ARV regimens that are easy to use, well-tolerated, and cost-effective. Dolutegravir (DTG)-based regimens are efficacious and less costly than other common first-line regimens. This study assessed real-world effectiveness of DTG regimens in treatment-naive people living with HIV in Ukraine. METHODS: We extracted data from the national Medical Information System on all adult patients who initiated antiretroviral therapy (ART) with DTG, lopinavir/ritonavir, or efavirenz (EFV) between October 2017 and June 2018, at 23 large clinics in 12 regions of Ukraine. Viral suppression at 12 ± 3 months and retention at 12 months after treatment initiation were the outcomes of interest. RESULTS: Of total 1057 patients, 721 had a viral load test within the window of interest, and 652 (90%) had viral load of ≤ 200 copies/mL. The proportion with suppression was lower in the EFV group [aOR = 0.4 (95% confidence interval: 0.2 to 0.8)] and not different in the LPV group [aOR = 1.6 (0.5 to 4.9)] compared with the DTG group. A 24-month or longer gap between diagnosis and treatment was associated with lower odds of suppression [aOR = 0.4 (0.2 to 0.8)]. Treatment retention was 90% (957/1057), with no significant difference by regimen group. History of injecting drug use was associated with decreased retention [aOR = 0.5 (0.3 to 0.8)]. CONCLUSIONS: DTG-based regimens were comparable with LPV and more effective than EFV in achieving viral suppression among ART-naive patients in a multisite cohort in Ukraine. Treatment retention was equally high in all 3 groups. This evidence from Ukraine supports the ART Optimization Initiative as a strategy to improve efficiency of the ART program without negatively affecting patient clinical outcomes.

Patient-Reported Treatment Satisfaction and Quality of Life Among People Living with HIV Following the Introduction of Dolutegravir-Based ART Regimens in Ukraine.

In 2017, the government of Ukraine initiated its ART Optimization Initiative, revising its national antiretroviral therapy (ART) guidelines and embracing Dolutegravir (DTG) as a backbone of first-line ART regimens. A cross-sectional survey of 464 ART patients from 22 large ART clinics was carried out in mid-2019. The survey assessed patient-reported outcomes (PROS) including treatment satisfaction, physical health, mental health, depression, side effects of ART, and adherence. The associations between ART regimen and PROs were assessed using bivariable and multivariable generalized estimating equations (GEE) models. More than half (55.6%) of the patients were satisfied with their current ART regimen. Less than a half (45.3%) considered their physical health as good while only 36.9% rated their mental health as good, 21.3% reported moderate or severe depression, 82.3% reported no side effect in the past 4 weeks, and 44.4% reported not missing ART medication in the past month. In adjusted analysis, patients starting ART with DTG had higher treatment satisfaction compared to people continuing LPV-based regimens (aOR = 0.49, 95% confidence interval: 0.22-0.90). Also in adjusted analyses, unemployment, low income, and history of injection drug use were associated with unfavorable PROs. While the results indicate modestly favorable effects of ART Optimization, there is clearly a need for complementary interventions to improve PROs among disadvantaged ART patients in Ukraine.

Comparing COVID-19 physical distancing policies: results from a physical distancing intensity coding framework for Botswana, India, Jamaica, Mozambique, Namibia, Ukraine, and the United States.

BACKGROUND: Understanding the differences in timing and composition of physical distancing policies is important to evaluate the early global response to COVID-19. A physical distancing intensity monitoring framework comprising 16 domains was recently published to compare physical distancing approaches across 12 U.S. States. We applied this framework to a diverse set of low and middle-income countries (LMICs) (Botswana, India, Jamaica, Mozambique, Namibia, and Ukraine) to test the appropriateness of this framework in the global context and to compare the policy responses in these LMICs with a sample of U.S. States during the first 100-days of the pandemic. RESULTS: The LMICs in our sample adopted wide ranging physical distancing policies. The highest peak daily physical distancing intensity during this period was: Botswana (4.60); India (4.40); Ukraine (4.40); Namibia (4.20); Mozambique (3.87), and Jamaica (3.80). The number of days each country stayed at peak policy intensity ranged from 12-days (Jamaica) to more than 67-days (Mozambique). We found some key similarities and differences, including substantial differences in whether and how countries expressly required certain groups to stay at home. Despite the much higher number of cases in the US, the physical distancing responses in our LMIC sample were generally more intense than in the U.S. States, but results vary depending on the U.S. State. The peak policy intensity for the U.S. 12-state average was 3.84, which would place it lower than every LMIC in this sample except Jamaica. The LMIC sample countries also reached peak physical distancing intensity earlier in outbreak progression compared to the U.S. states sample. The easing of physical distancing policies in the LMIC sample did not discernably correlate with change in COVID-19 incidence. CONCLUSIONS: This physical distancing intensity framework was appropriate for the LMIC context with only minor adaptations. This framework may be useful for ongoing monitoring of physical distancing policy approaches and for use in effectiveness analyses. This analysis helps to highlight the differing paths taken by the countries in this sample and may provide lessons to other countries regarding options for structuring physical distancing policies in response to COVID-19 and future outbreaks.

US e-learning course adaptation to the Ukrainian context: lessons learned and way forward.

BACKGROUND: Access to continuing education opportunities is limited for Ukrainian healthcare workers, and the need is acute in order to support healthcare reform efforts currently underway in Ukraine. Online learning is a cost-effective mechanism for continuing education since healthcare workers can remain on the job during training. It also provides a means of keeping health professionals up to date on their knowledge and skills in rapidly changing and increasingly complex healthcare environments. METHODS: This paper describes the process of adapting an existing e-learning course from a US institution to the Ukrainian setting. Course participants' feedback was used to evaluate the effectiveness of the adapted version that was piloted twice in 2016-2017 with 53 participants in total, 46 of whom completed the course and contributed to the evaluation. RESULTS: This was the first fully online course on Leadership and Management in Health (LMiH) to be offered in Ukraine. Several lessons were learned during course adaptation when multiple aspects of the Ukrainian environment were taken into account including 1) linguistic accessibility, 2) access to the Internet, 3) computer literacy, and 4) novelty of online learning. Based on these findings, course material was first adapted by translating it from English to Ukrainian with the emphasis on cultural adjustment of idioms and real life examples. Then, using the first pilot results and participants suggestions, videotaped interviews with local healthcare management experts were added in order to further enhance cultural suitability as well as relevance and applicability of the course concepts. The last but not least lesson learned consisted in the fact that enhancing, transitioning, and sustaining online learning to new contexts required engagement of key stakeholders, national level support, and technical assistance through implementation and beyond yet turned out to be both cost-effective and sustainable investment of limited resources. Formative evaluation confirmed that the adaptation efforts resulted in a course relevant and acceptable to healthcare professionals in Ukraine. CONCLUSION: Transition of the course to local ownership was accomplished in partnership with the Ukrainian Family Medicine Training Center in the Bogomolets National Medical University in Kyiv: LMiH is now certified for continuing medical education credit and offered twice a year by this institution. Lessons learned from this experience provide a roadmap for rapidly increasing access to new knowledge and skills for healthcare workers by adapting existing online resources to local needs; they are used to facilitate rapid expansion of other continuing education offerings in Ukraine: additional online courses from the University of Washington (UW) are planned for adaptation.