Literature DB >> 31623428

Implementation of "Treat-all" at adult HIV care and treatment sites in the Global IeDEA Consortium: results from the Site Assessment Survey.

Ellen Brazier1,2, Fernanda Maruri3, Stephany N Duda4, Olga Tymejczyk1,2, C William Wester3,5, Geoffrey Somi6, Jeremy Ross7, Aimee Freeman8, Morna Cornell9, Armel Poda10,11, Beverly S Musick12, Fujie Zhang13, Keri N Althoff8, Catrina Mugglin14, April D Kimmel15, Marcel Yotebieng16, Denis Nash1,2.   

Abstract

INTRODUCTION: Since 2015, the World Health Organization (WHO) has recommended that all people living with HIV (PLHIV) initiate antiretroviral treatment (ART), irrespective of CD4+ count or clinical stage. National adoption of universal treatment has accelerated since WHO's 2015 "Treat All" recommendation; however, little is known about the translation of this guidance into practice. This study aimed to assess the status of Treat All implementation across regions, countries, and levels of the health care delivery system.
METHODS: Between June and December 2017, 201/221 (91%) adult HIV treatment sites that participate in the global IeDEA research consortium completed a survey on capacity and practices related to HIV care. Located in 41 countries across seven geographic regions, sites provided information on the status and timing of site-level introduction of Treat All, as well as site-level practices related to ART initiation.
RESULTS: Almost all sites (93%) reported that they had begun implementing Treat All, and there were no statistically significant differences in site-level Treat All introduction by health facility type, urban/rural location, sector (public/private) or country income level. The median time between national policy adoption and site-level introduction was one month. In countries where Treat All was not yet adopted in national guidelines, 69% of sites reported initiating all patients on ART, regardless of clinical criteria, and these sites had been implementing Treat All for a median period of seven months at the time of the survey. The majority of sites (77%) reported typically initiating patients on ART within 14 days of confirming diagnosis, with 60% to 62% of sites implementing Treat All in East, Southern and West Africa reporting same-day ART initiation for most patients.
CONCLUSIONS: By mid- to late-2017, the Treat All strategy was the standard of care at almost all IeDEA sites, including rural, primary-level health facilities in low-resource settings. While further assessments of site-level capacity to provide high-quality HIV care under Treat All and to support sustained viral suppression after ART initiation are needed, the widespread introduction of Treat All at the service delivery level is a critical step towards global targets for ending the HIV epidemic as a public health threat.
© 2019 The Authors. Journal of the International AIDS Society published by John Wiley & Sons Ltd on behalf of the International AIDS Society.

Entities:  

Keywords:  zzm321990HIVzzm321990; HIV care; antiretroviral treatment; guideline implementation; “Treat all”

Mesh:

Substances:

Year:  2019        PMID: 31623428      PMCID: PMC6625339          DOI: 10.1002/jia2.25331

Source DB:  PubMed          Journal:  J Int AIDS Soc        ISSN: 1758-2652            Impact factor:   5.396


Introduction

WHO's 2015 recommendation 1 for immediate treatment of all PLHIV, regardless of CD4+ cell count, represented a paradigm shift in HIV care and treatment. By preventing morbidity and mortality among PLHIV 2, 3 and averting new infections through onward transmission of the virus 4, 5, 6, universal treatment of HIV (also known as “Treat All” and “Test and Treat”) provides a clear strategy for ending the HIV epidemic and for meeting the targets set by the Joint United Nations Programme on HIV/AIDS in 2014 – that is, ensuring that 90% of PLHIV know their status, with 90% of those who are diagnosed (and therefore eligible) on combination ART, and 90% of those on ART achieving sustained viral load suppression by 2020, with 95‐95‐95% respectively, reaching these targets by 2030 7, 8. While evidence of the benefits of early treatment led a few countries to adopt Treat All in national policy guidelines prior to WHO's 2015 recommendation (Figure 1), translation of WHO guidance into national policies and into clinical practice at the service delivery level often lags, particularly in low‐resource settings. An analysis of 33 countries in sub‐Saharan Africa found that the time lag in national‐level adoption of WHO's 2009 and 2013 HIV treatment guidelines averaged 24 and 10 months, respectively 9. Other analyses of site‐level implementation of prior WHO guidelines have highlighted logistical challenges that contribute to delays in translating policies into practice 10, 11, 12. Although available evidence suggests that by late 2017, most countries around the world had adopted some form of the WHO's Treat All guidance 13, 14, little is known about the timing of site‐level introduction and how this varies across regions and levels of health care delivery, or about site‐level capacity to appropriately initiate all enrolled patients on ART.
Figure 1

Timing of major HIV treatment guideline changes, including universal treatment of people living with HIV.

Timing of major HIV treatment guideline changes, including universal treatment of people living with HIV. Using data collected from health facilities that are part of the International epidemiology Databases to Evaluate AIDS (IeDEA) – a global collaboration that consolidates, curates and analyses longitudinal data on care and treatment of PLHIV – we sought to assess the status and timing of site‐level Treat All introduction for adult PLHIV across multiple regions and countries. We also aimed to describe site‐level practices related to pre‐ART counselling, the timing of ART initiation and viral load monitoring capacity at sites where Treat All is the standard of care.

Methods

Data sources

Data collection

IeDEA is an international research consortium of HIV care and treatment sites in 46 countries across seven world regions: the Asia‐Pacific; the Caribbean, Central and South America; Central Africa; East Africa; Southern Africa; West Africa; and North America 15. IeDEA is a purely observational research consortium that does not dictate policies or practices to participating HIV care and treatment clinics. IeDEA regularly conducts general and specialized surveys in order to characterize the attributes, capacity and services available at sites that participate in the consortium 16, 17. Between June and December 2017, a cross‐sectional 115‐item survey was administered in English or French to 255 active HIV care and treatment clinics that contribute longitudinal patient‐level data to IeDEA. In Southern Africa, where many IeDEA sites contribute data as part of a programmatic cohort that follows uniform practices across all clinics, one site from each cohort was surveyed; accordingly, four cohort‐representative sites were surveyed in Lesotho, Mozambique, Zambia and Zimbabwe, representing 8, 17, 105 and 35 clinics respectively, within each country's active observational cohorts. The survey was distributed in paper form and as an online questionnaire. REDCap electronic data capture tools hosted at Vanderbilt University Medical Center 18 were used to implement the online version of the survey. Surveys completed on paper were entered into REDCap by regional representatives. All sites and IeDEA regional coordinating centres had IRB approvals in place permitting the collection of site‐level data for the survey.

Site‐level characteristics and practices related to Treat All

The survey explored the current criteria used for initiating ART and the month and year those guidelines were introduced at the service delivery site. Adult treatment sites were considered as having implemented the Treat All policy if they reported that they currently “Start all patients on ART regardless of CD4+ cell count or symptoms.” Sites reporting that they only “Start some patients on ART regardless of CD4+ cell count or symptoms” – for example, patients with a pregnancy or coinfection with tuberculosis or hepatitis B – were not considered to be implementing Treat All. Other survey items included questions related to facility attributes, including location (urban vs. rural), level (e.g. health centre, district hospital, regional/provincial and teaching hospital), and sector (public vs. private). The survey also explored routine site‐level practices related to pre‐ART counselling, ART initiation and viral load monitoring. Sites that reported that they could routinely request or perform viral load (quantitative HIV RNA) testing were considered to have the capacity for viral load monitoring among patients initiating ART.

National HIV treatment guidelines and setting characteristics

To determine dates of national adoption of Treat All, we conducted a systematic search of health ministry websites for national HIV treatment guidelines, policies, notices, and press releases related to Treat All. When policy documents were unavailable or specified only the year of Treat All adoption, the date of policy adoption was assessed based on other sources, including the International Association of Providers of AIDS Care (IAPAC) Global HIV Policy Watch 19 and country operational plans (COPs) of the United States President's Emergency Plan for AIDS Relief (PEPFAR), as well as in‐country researchers and national treatment programme staff affiliated with IeDEA. As national HIV treatment guideline changes were ongoing in 2017, we considered the national guideline to be that which was in place at the time each site completed the survey. Sites were considered to be subject to a national Treat All policy if they completed the survey after universal HIV treatment had been officially adopted in published national guidelines. Sites were considered to be operating within a pre‐Treat All policy context if they completed the survey before the date of national Treat All adoption. We collected information on each country's income group classification in 2017 from World Bank databases 20 and status as a PEPFAR‐ and/or Global Fund to Fight AIDS, Tuberculosis and Malaria (Global Fund)‐supported country respectively, from the PEPFAR and Global Fund websites 21, 22. Countries with a PEPFAR country operational plan for 2017 were considered PEPFAR‐supported countries, and countries with a 2017 funding allocation were considered Global‐fund supported countries.

Statistical analysis

Analyses included descriptive statistics (frequency calculations, median year of site‐level Treat All implementation and median intervals – in months – between national guideline adoption and site‐level implementation). Frequencies of site‐level implementation of Treat All were stratified by site characteristics, country characteristics, and region, with Fisher's exact tests used to assess independence. The Wilcoxon test was used to compare medians. All statistical analyses were performed using SAS 9.4 (SAS Institute, Cary, NC), and ArcGIS Desktop 10.6 (Environmental Systems Research Institute, Redlands, CA) was used for descriptive mapping. Sites that did not report the month of site‐level Treat All introduction were included in frequency calculations of the timing of Treat All introduction relative to (i.e. before/after) national guideline adoption if the year of site‐level introduction differed from the year of national guideline adoption. Sites were excluded if the year of site‐level introduction was the same as that of national adoption because there was no way to verify whether these sites began implementation before or after the national guideline adoption. The interval between national guideline adoption and site‐level introduction was assessed as the time in months between the publication of updated national treatment guidelines that reflected Treat All and the month that each site reported beginning to provide ART to all HIV patients, regardless of CD4+ cell count or clinical disease staging. In countries where Treat All was not incorporated in national guidelines, we assessed the time, in months, between site‐level introduction of Treat All and the date the survey was completed as the duration of implementation. Sites that were unable to report both month and year of Treat All introduction were excluded from these analyses.

Results

Responses to the IeDEA Site Assessment survey were received from 234/255 IeDEA sites, including 201/221 sites (91%) in 41 countries that provide HIV care to adult patients. Thirty‐four sites providing services to paediatric patients only were excluded from the analysis because the timing of Treat All guidance for paediatric patients differed from that for adult patients.

Site‐level Treat All implementation

Overall, 93% of adult HIV treatment sites (187/201) reported that they currently initiate all patients on ART, irrespective of CD4+ cell count or WHO clinical stage (see Table 1). All IeDEA sites in the Caribbean, Central and South America and in East Africa regions reported implementing Treat All, as did the vast majority of sites in the Southern Africa, North America, Central Africa and Asia‐Pacific regions. In contrast, in the West Africa region – where national policies at the time of the survey did not reflect Treat All adoption in any country – 63% of sites reported that all patients were initiated on HIV treatment. There were no statistically significant differences in site‐level Treat All implementation by health facility type, urban/rural location, sector (public vs. private), country income group or PEPFAR/Global Fund‐support status.
Table 1

Implementation of Treat All at IeDEA sites, by national guideline status

Participating sitesSites implementing Treat AllSites implementing Treat All prior to national guideline changea (N = 170)
All sitesIn countries with national adoption of Treat AllIn countries without national adoption of Treat AllAll sites (N = 201)In countries with national adoption of Treat All (N = 175)In countries without national adoption of Treat All (N = 26)
All sites201 (100%)175 (87.1%)26 (12.9%)187 (93.0%)169 (96.6%)18 (69.2%)59 (34.7%)
IeDEA region [Fisher's exact test p‐value][p = 0.004][p = 0.446][p = 0.309][p < 0.0001]
Asia‐Pacific42 (20.9%)34 (81%)8 (19%)36 (85.7%)31 (91.2%)5 (62.5%)21 (65.6%)
Caribbean, Central and South America14 (7.0%)10 (71.4%)4 (28.6%)14 (100%)10 (100%)4 (100%)6 (50%)
Central Africa19 (9.5%)16 (84.2%)3 (15.8%)17 (89.5%)16 (100%)1 (33.3%)3 (17.6%)
East Africa42 (20.9%)39 (92.9%)3 (7.1%)42 (100%)39 (100%)3 (100%)13 (33.3%)
North America41 (20.4%)41 (100%)0 (0%)39 (95.1%)39 (95.1%)0 (0%)11 (35.5%)
Southern Africa35 (17.4%)35 (100%)0 (0%)34 (97.1%)34 (97.1%)0 (0%)0 (0%)
West Africa8 (4.0%)0 (0%)8 (100%)5 (62.5%)0 (0%)5 (62.5%)5 (100%)
Health facility type[p = 0.131][p = 0.363][p = 0.628][p = 0.011]
Primary (health centre)101 (50.2%)96 (95%)5 (5%)97 (96%)94 (97.9%)3 (60.0%)22 (24.7%)
District hospital18 (9.0%)18 (100%)0 (0%)17 (94.4%)17 (94.4%)0 (0%)6 (37.5%)
Regional/provincial or teaching hospital82 (40.8%)61 (74.4%)21 (25.6%)73 (89%)58 (95.1%)15 (71.4%)31 (47.7%)
Sector[p = 0.703][p = 1.00][p = 1.00][p = 0.129]
Public169 (84.1%)144 (85.2%)25 (14.8%)156 (92.3%)139 (96.5%)17 (68.0%)45 (31.9%)
Private32 (15.9%)31 (96.9%)1 (3.1%)31 (96.9%)30 (96.8%)1 (100%)14 (48.3%)
Facility location[p = 0.121][p = 0.673][p = 1.00][p < 0.0001]
Urban/Mostly urban149 (74.1%)124 (83.2%)25 (16.8%)136 (91.3%)119 (96.1%)17 (68.0%)54 (44.3%)
Rural/Mostly rural52 (25.9%)51 (98.1%)1 (1.9%)51 (98.1%)50 (98.0%)1 (100%)5 (10.4%)
Country income group[p = 0.751][p = 0.410][p = 0.453][p < 0.0001]
Low income58 (28.9%)50 (86.2%)8 (13.8%)54 (93.1%)49 (98.0%)5 (62.5%)6 (11.1%)
Lower‐middle income49 (24.4%)37 (75.5%)12 (24.5%)44 (89.8%)37 (100%)7 (58.3%)19 (47.5%)
Upper‐middle income29 (14.4%)27 (93.1%)2 (6.9%)28 (96.6%)26 (96.3%)2 (100%)9 (34.6%)
High income65 (32.3%)61 (93.8%)4 (6.2%)61 (93.8%)57 (93.4%)4 (100%)25 (50%)
PEPFAR‐supported country[p = 0.093][p = 0.094][p = 0.683][p < 0.0001]
No94 (46.8%)80 (85.1%)14 (14.9%)84 (89.4%)75 (93.8%)9 (64.3%)37 (52.1%)
Yes107 (53.2%)95 (88.8%)12 (11.2%)103 (96.3%)94 (98.9%)9 (75.0%)22 (22.2%)
GFATM‐supported country[p = 0.574][p = 0.231][p = 0.277][p < 0.0003]
No76 (37.8%)72 (94.7%)4 (5.3%)72 (94.7%)68 (94.4%)4 (100%)30 (50.0%)
Yes125 (62.2%)103 (82.4%)22 (17.6%)115 (92.0%)101 (98.1%)14 (63.6%)29 (26.4%)
Year of national Treat All adoption[p < 0.0001][p = 0.060][p < 0.0001]
2012 (2 countries)41 (20.4%)41 (100%)39 (95.1%)39 (95.1%)11 (35.5%)
2013 (2 countries)8 (4.0%)8 (100%)8 (100%)8 (100%)4 (50%)
2014 (2 countries)6 (3.0%)6 (100%)6 (100%)6 (100%)1 (16.7%)
2015 (2 countries)18 (9.0%)18 (100%)16 (88.9%)16 (88.9%)8 (61.5%)
2016 (16 countries)97 (48.3%)97 (100%)96 (99.0%)96 (99.0%)15 (16.3%)
2017 (2 countries)5 (2.5%)5 (100%)4 (80.0%)4 (80.0%)4 (100%)
Treat All not adopted nationallyb (15 countries)26 (12.9%)26 (100%)18 (69.2%)0 (0%)18 (100%)16 (100%)

aSites with known month and year of Treat All introduction; bsites in countries that adopted Treat All in 2017 after the survey was completed counted among sites where Treat All was not yet adopted nationally.

Implementation of Treat All at IeDEA sites, by national guideline status aSites with known month and year of Treat All introduction; bsites in countries that adopted Treat All in 2017 after the survey was completed counted among sites where Treat All was not yet adopted nationally. In countries where universal treatment of PLHIV had been adopted in national treatment guidelines (26/41 countries), site‐level implementation of Treat All was almost universal (97%, 169/175 sites), and there were no significant differences in site‐level implementation by country income designation or PEPFAR‐support status, or by facility type, location or sector. Site‐level implementation of Treat All was significantly lower in countries where universal HIV treatment had not yet been incorporated into national guidelines (15/41 countries) at the time of the survey (69%, 18/26 sites), compared to countries where Treat All was adopted in national treatment guidelines (97%, 169/175 sites, p < 0.0001).

Timing of site‐level Treat All introduction

Among 178 sites that reported the year they began implementing Treat All, the year of site‐level introduction of Treat All ranged from 2008 to 2017 (Median year: 2016; IQR: 2015 to 2016) (Table 2). The median year of site‐level Treat All introduction was earliest in the North America (2014), Asia‐Pacific (2015), and Caribbean, Central and South America (2015) regions, and latest among sites in the West Africa region (2017). The median year of site‐level Treat All introduction was earlier at higher‐level health facilities (e.g. regional/provincial and teaching hospitals), private sector facilities, and sites located in high‐income, non‐PEPFAR‐supported countries.
Table 2

Timing and length of Treat All implementation at IeDEA sites

Timing of Treat All implementation (sites with known year of implementation)Time (in months) from national adoption to site implementationa in countries where Treat All adopted nationallyLength of implementation (in months) among sites in countries where Treat All not yet adopted nationally
NMedian [IQR]NMedian [IQR]NMedian [IQR]
All sites1782016 [2015 to 2016]1381 [−1, 4]147.4 [5.6, 12.7]
IeDEA region
Asia‐Pacific352015 [2014 to 2016]24−2 [−12, 5]33.3 [0.6, 5.6]
Caribbean, Central and South America132015 [2013 to 2016]160 [0, 1]210 [3.9, 16.1]
Central Africa172016 [2016 to 2016]90 [−1, 16]19.9 [9.9, 9.9]
East Africa412016 [2016 to 2017]332 [−1, 7]317.5 [8.7, 19.7]
North America332014 [2010 to 2015]2211 [−35, 40]0
Southern Africa342016 [2016 to 2016]342 [1, 2]0
West Africa52017 [2017 to 2017]056.7 [6.4, 8]
Health facility type
Primary (health center)922016 [2016 to 2016]792 [0, 2]36.4 [5.7, 19.7]
District hospital172016 [2016 to 2016]142 [−1, 3]0
Regional/provincial or teaching hospital692015 [2014 to 2016]451 [−9, 12]118 [3.9, 12.7]
Sector
Public1482016 [2015 to 2016]1132 [0, 5]138 [5.6, 12.7]
Private302015 [2011 to 2016]250 [−50, 2]16.7 [6.7, 6.7]
Facility location
Urban/Mostly urban1282016 [2014.5 to 2016]910 [−6, 5]136.7 [5.6, 9.9]
Rural/Mostly rural502016 [2016 to 2016]472 [2, 3]119.7 [19.7, 19.7]
Country income group
Low income542016 [2016 to 2017]492 [1, 2]512.7 [9.9, 17.5]
Lower‐middle income422016 [2016 to 2016]311 [−1, 3]56.4 [5.7, 6.7]
Upper‐middle income272016 [2015 to 2016]240 [−3.5, 7]13.9 [3.9, 3.9]
High income552015 [2012 to 2015]34−1 [−21, 27]35.6 [0.6, 16.1]
PEPFAR‐supported country
No772015 [2014 to 2016]50−1 [−13, 21]64.7 [3.3, 12.7]
Yes1012016 [2016 to 2016]882 [0, 2]88.4 [6.6, 13.7]
GFATM‐supported country
No662015 [2013 to 2015]44−1 [−12.5, 22]35.6 [0.6, 16.1]
Yes1122016 [2016 to 2016]942 [0, 2]118.0 [5.7, 12.7]
Year of national Treat All adoption
2012 (2 countries)332014 [2010 to 2015]2211 [−35, 40]
2013 (2 countries)82013 [2013 to 2015]8−0.5 [−9, 18.5]
2014 (2 countries)62015 [2014 to 2016]512 [0, 12]
2015 (2 countries)162015 [2014.5 to 2015.5]10−1 [−7, 5]
2016 (16 countries)952016 [2016 to 2016]892 [0, 2]
2017 (2 countries)42013.5 [2011.5 to 2015.5]4−40.5 [−63, −18]
Timing of national Treat All adoptionb
Before WHO recommendation632015 [2013 to 2015]450 [−9, 22]
After WHO recommendation992016 [2016 to 2016]932 [0, 2]
Treat All not adopted nationally162016.5 [2016 to 2017]147.4 [5.6, 12.7]

aSites with known month and year of Treat All introduction; btiming relative to WHO recommendation of September 2015.

Timing and length of Treat All implementation at IeDEA sites aSites with known month and year of Treat All introduction; btiming relative to WHO recommendation of September 2015. At the country level, the median year of site‐level Treat All introduction ranged from 2011 to 2017 (Figure 2 and Table S1). In several countries where Treat All had not been adopted nationally at the time of the survey (e.g. Burkina Faso, Republic of the Congo, Senegal, Mozambique, Indonesia and Vietnam), none of the surveyed sites had introduced Treat All.
Figure 2

Median year of site‐level implementation of Treat All among 201 IeDEA sites.

Median year of site‐level implementation of Treat All among 201 IeDEA sites. Almost all sites (178/187, 95%) reporting implementation of Treat All specified the year of site‐level introduction, and 81% (152/187) reported both month and year of site‐level introduction. Just over one‐third (35%) of sites reported that they began initiating all patients on ART regardless of immune status or clinical disease stage prior to the adoption of Treat All in national guidelines (Table 1). Site‐level introduction of Treat All prior to national guideline adoption was significantly more common among district, regional/provincial and teaching hospitals (37/81, or 46%) than primary‐level health centres (22/89, or 25%; p = 0.006) and at sites in urban areas (54/122, or 44%), compared with rural sites (5/48 or 10%; p < 0.0001). All Treat All‐implementing sites in the West Africa region (100%) and almost two‐thirds of sites in the Asia‐Pacific region reported that site‐level introduction of Treat All preceded national guideline adoption, as did half of the surveyed sites in the Caribbean, Central and South America and about one‐third of sites in the East Africa and North America regions. In contrast, no sites in Southern Africa and few sites in Central Africa reported implementing Treat All prior to national guideline adoption.

Time from national adoption of Treat All to site‐level introduction

In countries where Treat All had been adopted nationally, 138/175 (79%) sites reported both month and year of Treat All introduction. Among these sites, the median time lag between national guideline adoption and site‐level introduction was 1 month (IQR: −1 to 4 months) (Table 2). Intervals between national guideline adoption and site‐level introduction were significantly longer at rural sites (median time 2 months; IQR: 2 to 3 months) compared with urban sites (median time zero months; IQR: −6 to 5 months; p < 0.001) and at public sector sites (median time 2 months; IQR: 0 to 5 months) compared with private sector facilities (median time 0 months; IQR: −50 to 2 months; p = 0.0046). The time to site‐level introduction of Treat All was also longer in low‐ and lower‐middle‐income countries (median time 2 months; IQR: 0 to 2.5 months), compared with high‐ and upper‐middle‐income countries (median time 0 months; IQR: −9 to 16 months) and in PEPFAR‐supported countries (median time 2 months; IQR: 0 to 2 months) compared with non‐PEPFAR‐supported countries (median time −1 month; IQR: −13 to 21 months); however, these differences were not statistically significant, given wide variation in the timing of Treat All in high‐ and upper‐middle‐income countries. Similarly, the time to site‐level introduction of Treat All was longer at health centres (median time 2 months; IQR: 0 to 2 months), compared with district, regional/provincial and teaching hospitals (median time one month; IQR: −4 to 12 months) (differences not statistically significant). In countries where national Treat All policies had not yet been adopted, 14/26 sites that were treating all patients irrespective of CD4+ counts or other symptoms reported that they had been initiating all patients on ART for a median period of seven months at the time of the survey (IQR: −13 to −6 months).

ART initiation practices and viral load monitoring at Treat All‐implementing sites

Approximately two‐thirds (66%) of sites implementing Treat All reported that they typically conduct one to two adherence counselling sessions prior to initiating patients on ART, while 24% (45/187) reported providing three or more such sessions (Table 3), and 10% (19/187) reported that patients typically have no pre‐ART counselling sessions. Private sector sites were significantly more likely than public sector sites to report no adherence counselling sessions prior to ART initiation (29% vs. 6%; p < 0.001), as were sites in urban areas compared to rural areas (13% vs. 2%; p = 0.03). Sites in high‐income countries and countries not supported by PEPFAR or the Global Fund were also significantly more likely to report that patients typically have no pre‐ART counselling sessions (21% to 28% vs. 1% to 2%; p < 0.05). Among the 14 sites that had not yet introduced Treat All, half (7/14) reported that they typically conduct one to two counselling sessions before initiating patients on ART, with six sites reporting that patients typically have three or more counselling sessions prior to initiating treatment.
Table 3

ART initiation practices and viral load testing capacity at 187 IeDEA sites implementing Treat All

Counseling sessions prior to ART initiationTiming of ART initiationViral loada testing routinely available N (%)
0 sessions N (%)1 to 2 sessions N (%)≥3 sessions N (%)Same day start N (%)1 to 14 days N (%)2 to 4 weeks or >1 month N (%)
All sites19 (10.2%)123 (65.8%)45 (24.1%)73 (39%)71 (38%)43 (23.0%)129 (69%)
IeDEA region[p < 0.0001]
Asia‐Pacific3 (8.3%)27 (75%)6 (16.7%)3 (8.3%)19 (52.8%)14 (38.9%)33 (91.7%)
Caribbean, Central and South America0 (0%)14 (100%)0 (0%)5 (35.7%)4 (28.6%)5 (35.7%)12 (85.7%)
Central Africa0 (0%)8 (47.1%)9 (52.9%)4 (23.5%)13 (76.5%)0 (0%)5 (29.4%)
East Africa0 (0%)19 (45.2%)23 (54.8%)26 (61.9%)16 (38.1%)0 (0%)23 (54.8%)
North America15 (38.5%)22 (56.4%)2 (5.1%)11 (28.2%)10 (25.6%)18 (46.2%)38 (97.4%)
Southern Africa1 (2.9%)28 (82.4%)5 (14.7%)21 (61.8%)8 (23.5%)5 (14.7%)15 (44.1%)
West Africa0 (0%)5 (100%)0 (0%)3 (60%)1 (20%)1 (20%)3 (60.0%)
Health facility type[p = 0.006][p = 0.036][p < 0.0001]
Primary (health center)12 (12.4%)61 (62.9%)24 (24.7%)39 (40.2%)39 (40.2%)19 (19.6%)55 (56.7%)
District hospital0 (0%)7 (41.2%)10 (58.8%)12 (70.6%)3 (17.6%)2 (11.8%)11 (64.7%)
Regional/provincial or teaching hospital7 (9.6%)55 (75.3%)11 (15.1%)22 (30.1%)29 (39.7%)22 (30.1%)63 (86.3%)
Sector[p = 0.001][p = 0.019][p = 0.142]
Public10 (6.4%)104 (66.7%)42 (26.9%)66 (42.3%)60 (38.5%)30 (19.2%)104 (66.7%)
Private9 (29%)19 (61.3%)3 (9.7%)7 (22.6%)11 (35.5%)13 (41.9%)25 (80.6%)
Facility location[p = 0.033][p < 0.0001][p < 0.0001]
Urban/mostly urban18 (13.2%)89 (65.4%)29 (21.3%)40 (29.4%)54 (39.7%)42 (30.9%)110 (80.9%)
Rural/mostly rural1 (2%)34 (66.7%)16 (31.4%)33 (64.7%)17 (33.3%)1 (2%)19 (37.3%)
Country income group[p < 0.0001][p < 0.0001][p < 0.0001]
Low income1 (1.9%)39 (72.2%)14 (25.9%)23 (42.6%)28 (51.9%)3 (5.6%)21 (38.9%)
Lower‐middle income0 (0%)20 (45.5%)24 (54.5%)31 (70.5%)13 (29.5%)0 (0%)23 (52.3%)
Upper‐middle income1 (3.6%)24 (85.7%)3 (10.7%)5 (17.9%)13 (46.4%)10 (35.7%)26 (92.9%)
High income17 (27.9%)40 (65.6%)4 (6.6%)14 (23%)17 (27.9%)30 (49.2%)59 (96.7%)
PEPFAR‐supported country[p < 0.0001][p < 0.0001][p < 0.0001]
No18 (21.4%)61 (72.6%)5 (6%)18 (21.4%)28 (33.3%)38 (45.2%)80 (95.2%)
Yes1 (1%)62 (60.2%)40 (38.8%)55 (53.4%)43 (41.8%)5 (4.9%)49 (47.6%)
GFATM‐supported country[p < 0.0001][p < 0.0001][p < 0.0001]
No17 (23.6%)51 (70.8%)4 (5.6%)17 (23.6%)21 (29.2%)34 (47.2%)70 (97.2%)
Yes2 (1.7%)72 (62.6%)41 (35.7%)56 (48.7%)50 (43.5%)9 (7.8%)59 (51.3%)
Year of national Treat All adoption[p < 0.0001]
2012 (2 countries)15 (38.5%)22 (56.4%)2 (5.1%)11 (28.2%)10 (25.6%)18 (46.2%)38 (97.4%)
2013 (2 countries)0 (0%)8 (100%)0 (0%)3 (37.5%)2 (25.0%)3 (37.5%)8 (100%)
2014 (2 countries)1 (16.7%)4 (66.7%)1 (16.7%)0 (0%)4 (66.7%)2 (33.3%)6 (100%)
2015 (2 countries)2 (12.5%)14 (87.5%)0 (0%)1 (6.3%)6 (37.5%)9 (56.3%)15 (93.8%)
2016 (16 countries)1 (1.0%)57 (59.4%)38 (39.6%)52 (54.2%)38 (39.6%)6 (6.3%)45 (46.9%)
2017 (2 countries)0 (0%)3 (75.0%)1 (25.0%)1 (25.0%)2 (50.0%)1 (25.0%)4 (100%)
Treat All not adopted nationallyb (15 countries)0 (0%)15 (83.3%)3 (16.7%)5 (27.8%)9 (50.0%)4 (22.2%)13 (72.2%)
Timing of national Treat All adoptionc [p < 0.0001][p < 0.0001][p < 0.0001]
Before WHO recommendation18 (26.1%)48 (69.6%)3 (4.3%)15 (21.7%)22 (31.9%)32 (46.4%)67 (97.1%)
After WHO recommendation1 (1%)62 (60.2%)40 (38.8%)53 (53.0%)40 (40.0%)7 (7.0%)49 (49.0%)
Treat All not adopted nationally0 (0%)13 (86.7%)2 (13.3%)5 (27.8%)9 (50.0%)4 (22.2%)13 (72.2%)

aQuantitative PCR or viral load assay available for routine use; bsites in countries that adopted Treat All in 2017 after the survey was completed counted among sites where Treat All was not yet adopted nationally; ctiming relative to WHO recommendation of September 2015.

ART initiation practices and viral load testing capacity at 187 IeDEA sites implementing Treat All aQuantitative PCR or viral load assay available for routine use; bsites in countries that adopted Treat All in 2017 after the survey was completed counted among sites where Treat All was not yet adopted nationally; ctiming relative to WHO recommendation of September 2015. Among 187 sites implementing Treat All, 77% reported initiating patients on ART within 14 days of establishing treatment eligibility (Table 3). Same‐day ART initiation was more commonly reported by sites in the East, Southern, and West Africa regions (60% to 62%), as well as by district hospitals (12/17, or 71%) and public sector sites (66/156, or 42%). In contrast, almost half of private sector facilities (13/31, or 42%) reported that patients did not initiate ART until two to four weeks or longer after confirming HIV diagnosis, as did sites in high‐income countries (30/61, or 49%), in countries not supported by PEPFAR (38/84, or 45%) or the Global Fund (34/72, or 47%), and in countries where Treat All was adopted in national guidelines before WHO's 2015 recommendation (23/69, or 46%). More than one quarter (11/43 or 26%) of the sites reporting that they initiate patients on ART two to four weeks or longer after confirming diagnosis also reported that typically they do not conduct adherence counselling sessions prior to ART initiation; in contrast, only 7% (5/72) sites reporting same day ART initiation reported that their patients typically do not attend any pre‐ART counselling sessions. More than two‐thirds of sites implementing Treat All (129/187) reported that viral load testing was available as part of routine care of patients at the site. Viral load testing capacity was nearly universal among sites in high‐income (59/61, or 97%) and upper‐middle‐income countries (26/28, or 93%). However, only 39% (21/54) of sites in low‐income countries and 52% (23/44) of sites in lower‐middle‐income countries reported that viral load testing was available as part of routine patient care. Capacity for routine viral load monitoring was also significantly more common among urban sites compared with rural sites (110/136 (81%) vs. 19/51 (37%); p < 0.0001); and in hospitals (district, regional/provincial or teaching hospitals) compared with health centres (74/90 (82%) vs. 55/97 (57%); p < 0.001).

Discussion

Surveying 201 adult HIV treatment sites that participate in the global IeDEA collaboration across 41 countries, this study found that the vast majority of sites had begun initiating all patients on ART by mid‐2017, regardless of immune status or clinical disease stage. Site‐level implementation of Treat All is almost universal in countries that have incorporated WHO's 2015 recommendation into national guidelines. Previous research has highlighted various logistical barriers and health system constraints, such as guideline dissemination, training of health personnel, drug stockouts and gaps in laboratory capabilities, which contributed to delays in implementing prior, CD4 count–based treatment guidelines 10, 12, 23. However, our study found that the time from national adoption to site‐level introduction was relatively rapid across IeDEA‐participating sites in 41 countries, with a median time‐to‐implementation of one month. In countries where Treat All was adopted in national guidelines in 2017, all IeDEA sites had begun implementing WHO's guidance in advance of national guideline changes. Likely reasons for the rapid roll‐out of Treat All at the service delivery level may include temporal improvements in the capacity to deliver ART across health systems, as well as the possibility that Treat All simplifies the provision of HIV treatment in low‐resourced health systems (38, 39). In countries that officially adopted the Treat All policy prior to WHO's 2015 guidance, there was greater between‐site variation in the timing of site‐level introduction of Treat All, with implementation lags ranging from one to five years after national policy adoption. In these predominately high‐income countries, variation in site‐level introduction may reflect heterogeneous health policy environments, decentralized health systems, and a higher proportion of private‐sector sites operating autonomously. Earlier site‐level adoption of Treat All in these countries may reflect the feasibility of expanding HIV treatment, given lower HIV prevalence, higher‐resourced health systems, and stronger logistics systems in these settings 23, 24, whereas later site‐level introduction in these countries may reflect barriers, such as gaps in providers’ knowledge, or lingering provider concerns about potential negative consequences, such as the emergence of resistance, treatment side effects, increased sexual risk‐taking and lack of patient‐readiness 25, 26, 27, 28. In contrast, there was less between‐site variation in time‐to‐implementation in countries adopting Treat All after WHO's 2015 recommendation, especially in low‐/lower‐middle‐income countries supported by PEPFAR and/or the Global Fund, suggesting that site‐level roll‐out of Treat All may be more uniform in countries receiving support from these and other donors 29. The majority of surveyed sites in low‐ and lower‐middle‐income countries reported typically starting patients on ART within 14 days of eligibility ascertainment, which is promising, given evidence that rapid ART initiation leads to improved clinical outcomes 30, 31. Surprisingly, in high‐income countries and countries with earlier national adoption of Treat All, sites were more likely to report that patients generally initiate ART two to four weeks or more after diagnosis is confirmed, possibly reflecting heterogeneous provider practices in these contexts, genotypic resistance testing, organ function testing, or delays incurred in the coordination of multiple stakeholders, including service delivery and insurance providers, prior to treatment initiation 32, 33, 34, 35. Interestingly, sites that reported longer times between enrolment and ART initiation were also more likely to report that their patients typically had no treatment readiness counselling sessions prior to treatment initiation, suggesting these are not a likely source of delay in initiating patients on ART. Our study provides important early data assessing the timing of Treat All introduction at the service delivery level, as well as the interval between national guideline adoption and site‐level introduction. With a sample of 201 sites serving adult HIV patients across 41 countries, the IeDEA site assessment reflects the status of Treat All rollout among a large and diverse sample of HIV care and treatment sites across different regions, countries and types of facilities. While almost all sites reported universal HIV treatment as the standard of care, we found considerable variation in site‐level practices related to rapid ART initiation, with private sector sites and sites in high‐resource settings more likely to report longer times to treatment initiation. Consistent with other research 16, 36, 37, 38, we also found considerable variation in capacity for viral load monitoring, and almost one‐third of the sites implementing Treat All indicated that they could not routinely request or perform viral load testing. Such gaps were particularly prevalent among sites located in rural areas and in low‐income countries, as well as in countries where Treat All was adopted more recently. Our findings also underscore the need to identify and address bottlenecks, including health care payment systems, administrative processes, and provider practices, that contribute to delays in initiating patients on treatment, as well as those contributing to suboptimal levels of treatment adherence and sustained viral suppression (e.g. stockouts of antiretroviral medications and capacity gaps related to viral load and resistance monitoring). Programme monitoring and research is also needed on implementation barriers at sites that continue to operate under previous guidelines. Several study limitations should be noted. The survey data were self‐reported. Accordingly, in some instances, recall bias and social desirability bias may have led to inaccurate responses and/or responses more closely aligned with national treatment guidelines and norms than true practice. HIV care and treatment sites participating in IeDEA are primarily public‐sector health facilities, and they comprise a heterogeneous mix of academic and community‐based hospitals and health centres 16. However, IeDEA‐participating sites are unlikely to be representative of all HIV care clinics in a given country. Moreover, in countries where one site completed the survey on behalf of a larger network of sites, there may be greater heterogeneity in site‐level practices than is reflected in the survey results. Accordingly, general practice related to Treat All implementation in each country may differ from the results reported here, and the timing of site‐level Treat All introduction and estimates of the median time from national guideline adoption and site‐level introduction may mask in‐country variation.

Conclusions

Data from this survey indicate that by mid‐ to late‐2017, the Treat All strategy was being implemented across most IeDEA sites in 41 countries, including rural, primary‐level health facilities in low‐resource settings. Further research is needed to assess patient outcomes and the quality and effectiveness of HIV‐related care under Treat All and to identify bottlenecks that contribute to ongoing delays in ART initiation and other suboptimal patient outcomes. However, the accelerating roll‐out of Treat All at HIV care and treatment sites across IeDEA is promising for the achievement of UNAIDS’ 95‐95‐95 targets to end the AIDS epidemic.

Competing interests

KNA serves on the scientific advisory board for Trio Health. All authors declare that they have no competing interests.

Authors’ contributions

EB, SND, FM, DN and CWW developed the survey questionnaire. SND and FM designed the survey in REDCap, and FM coordinated overall data collection. DN conceptualized the project, and EB performed the data analysis and wrote the initial draft of the manuscript. FM, SND, OT, CWW, GS, JR, AF, MC, AP, BSM, FZ, KNA, CM, ADK, MY and DN contributed to the interpretation of findings and manuscript revisions, and all authors read and approved the final manuscript. Table S1. Date of national adoption of Treat All, median year, and time‐to‐implementation at IeDEA sites operating under Treat All at the time of the survey. Click here for additional data file.
  28 in total

1.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

2.  Initiation of Antiretroviral Therapy in Early Asymptomatic HIV Infection.

Authors:  Jens D Lundgren; Abdel G Babiker; Fred Gordin; Sean Emery; Birgit Grund; Shweta Sharma; Anchalee Avihingsanon; David A Cooper; Gerd Fätkenheuer; Josep M Llibre; Jean-Michel Molina; Paula Munderi; Mauro Schechter; Robin Wood; Karin L Klingman; Simon Collins; H Clifford Lane; Andrew N Phillips; James D Neaton
Journal:  N Engl J Med       Date:  2015-07-20       Impact factor: 91.245

3.  "In reality, it is complex and difficult": UK nurses' perspectives on "treatment as prevention" within HIV care.

Authors:  Catrin Evans; Juliet Bennett; Michelle Croston; Nathaniel Brito-Ault; Jane Bruton
Journal:  AIDS Care       Date:  2015-02-04

4.  Initiating Antiretroviral Therapy for HIV at a Patient's First Clinic Visit: The RapIT Randomized Controlled Trial.

Authors:  Sydney Rosen; Mhairi Maskew; Matthew P Fox; Cynthia Nyoni; Constance Mongwenyana; Given Malete; Ian Sanne; Dorah Bokaba; Celeste Sauls; Julia Rohr; Lawrence Long
Journal:  PLoS Med       Date:  2016-05-10       Impact factor: 11.069

Review 5.  Feasibility of antiretroviral treatment monitoring in the era of decentralized HIV care: a systematic review.

Authors:  Minh D Pham; Lorena Romero; Bruce Parnell; David A Anderson; Suzanne M Crowe; Stanley Luchters
Journal:  AIDS Res Ther       Date:  2017-01-19       Impact factor: 2.250

6.  From policy to practice: exploring the implementation of antiretroviral therapy access and retention policies between 2013 and 2016 in six sub-Saharan African countries.

Authors:  Julie Ambia; Jenny Renju; Alison Wringe; Jim Todd; Eveline Geubbels; Jessica Nakiyingi-Miiro; Mark Urassa; Tom Lutalo; Amelia C Crampin; Daniel Kwaro; Catherine Kyobutungi; Natsayi Chimbindi; F Xavier Gomez-Olive; Malebogo Tlhajoane; Brian Njamwea; Basia Zaba; Paul Mee
Journal:  BMC Health Serv Res       Date:  2017-11-21       Impact factor: 2.655

7.  Comprehensiveness of HIV care provided at global HIV treatment sites in the IeDEA consortium: 2009 and 2014.

Authors:  Cristin Q Fritz; Meridith Blevins; Mary Lou Lindegren; Kara Wools-Kaloutsian; Beverly S Musick; Morna Cornell; Kelly Goodwin; Dianne Addison; Jean Claude Dusingize; Eugène Messou; Armel Poda; Stephany N Duda; Catherine C McGowan; Matthew G Law; Richard D Moore; Aimee Freeman; Denis Nash; C William Wester
Journal:  J Int AIDS Soc       Date:  2017-01-06       Impact factor: 5.396

8.  A qualitative study of the determinants of HIV guidelines implementation in two south-eastern districts of Tanzania.

Authors:  Mary N Mwangome; Eveline Geubbels; Alison Wringe; Jim Todd; Paul Klatser; Marjolein Dieleman
Journal:  Health Policy Plan       Date:  2017-07-01       Impact factor: 3.344

9.  When will sub-Saharan Africa adopt HIV treatment for all?

Authors:  Somya Gupta; Reuben Granich
Journal:  South Afr J HIV Med       Date:  2016-08-31       Impact factor: 2.744

10.  Scaling up HIV viral load - lessons from the large-scale implementation of HIV early infant diagnosis and CD4 testing.

Authors:  Trevor Peter; Clement Zeh; Zachary Katz; Ali Elbireer; Bereket Alemayehu; Lara Vojnov; Alex Costa; Naoko Doi; Ilesh Jani
Journal:  J Int AIDS Soc       Date:  2017-11       Impact factor: 5.396

View more
  11 in total

1.  Heavy episodic drinking and HIV disclosure by HIV treatment status among People with HIV in IeDEA Cameroon.

Authors:  Kathryn E Lancaster; Molly Remch; Anastase Dzudie; Rogers Ajeh; Adebola Adedimeji; Denis Nash; Kathryn Anastos; Marcel Yotebieng; Eric Walter Yone-Pefura; Denis Nsame; Angela Parcesepe
Journal:  Int J Drug Policy       Date:  2021-09-15

2.  Regression discontinuity analysis demonstrated varied effect of Treat-All on CD4 testing among Southern African countries.

Authors:  Elizabeth Zaniewski; Ellen Brazier; Cam Ha Dao Ostinelli; Robin Wood; Meg Osler; Karl-Günter Technau; Joep J van Oosterhout; Nicola Maxwell; Janneke van Dijk; Hans Prozesky; Matthew P Fox; Jacob Bor; Denis Nash; Matthias Egger
Journal:  J Clin Epidemiol       Date:  2021-09-03       Impact factor: 6.437

3.  "If it weren't for my traditional healer, I would be dead": Engaging traditional healers to support people living with HIV in rural Mozambique.

Authors:  Carolyn M Audet; Mariah Pettapiece-Phillips; Yuqi Tian; Bryan E Shepherd; Sten H Vermund; Jose Salato
Journal:  PLoS One       Date:  2022-06-28       Impact factor: 3.752

4.  Impact of Universal Antiretroviral Treatment Eligibility on Rapid Treatment Initiation Among Young Adolescents with Human Immunodeficiency Virus in Sub-Saharan Africa.

Authors:  Olga Tymejczyk; Ellen Brazier; Kara Wools-Kaloustian; Mary-Ann Davies; Madeline Dilorenzo; Andrew Edmonds; Rachel Vreeman; Carolyn Bolton; Christella Twizere; Nicollate Okoko; Sam Phiri; Gertrude Nakigozi; Patricia Lelo; Per von Groote; Annette H Sohn; Denis Nash
Journal:  J Infect Dis       Date:  2020-08-04       Impact factor: 5.226

5.  HIV programmatic outcomes following implementation of the 'Treat-All' policy in a public sector setting in Eswatini: a prospective cohort study.

Authors:  Bernhard Kerschberger; Michael Schomaker; Kiran Jobanputra; Serge M Kabore; Roger Teck; Edwin Mabhena; Simangele Mthethwa-Hleza; Barbara Rusch; Iza Ciglenecki; Andrew Boulle
Journal:  J Int AIDS Soc       Date:  2020-03       Impact factor: 5.396

6.  Patient-mix, programmatic characteristics, retention and predictors of attrition among patients starting antiretroviral therapy (ART) before and after the implementation of HIV "Treat All" in Zimbabwe.

Authors:  Richard Makurumidze; Jozefien Buyze; Tom Decroo; Lutgarde Lynen; Madelon de Rooij; Trevor Mataranyika; Ngwarai Sithole; Kudakwashe C Takarinda; Tsitsi Apollo; James Hakim; Wim Van Damme; Simbarashe Rusakaniko
Journal:  PLoS One       Date:  2020-10-19       Impact factor: 3.240

7.  Timely initiation of HIV antiretroviral therapy in Haiti 2004-2018: a retrospective cohort study.

Authors:  Nancy Puttkammer; Canada Parrish; Yrvel Desir; Nathaelf Hyppolite; Nadjy Joseph; Lara Hall; Jean Guy Honoré; Ermane Robin; Georges Perrin; Kesner François
Journal:  Rev Panam Salud Publica       Date:  2021-11-19

8.  CD4 Count at Entry into Care and at Antiretroviral Therapy Prescription among Adults with Human Immunodeficiency Virus in the United States, 2005-2018.

Authors:  Jennifer S Lee; Elizabeth A Humes; Brenna C Hogan; Kate Buchacz; Joseph J Eron; M John Gill; Timothy R Sterling; Peter F Rebeiro; Viviane Dias Lima; Angel Mayor; Michael J Silverberg; Michael A Horberg; Richard D Moore; Keri N Althoff
Journal:  Clin Infect Dis       Date:  2021-10-05       Impact factor: 9.079

9.  Rapid Clinical Progression and Its Correlates Among Acute HIV Infected Men Who Have Sex With Men in China: Findings From a 5-Year Multicenter Prospective Cohort Study.

Authors:  Jing Zhang; Xiao-Jie Huang; Wei-Ming Tang; Zhenxing Chu; Qinghai Hu; Jing Liu; Haibo Ding; Xiaoxu Han; Zining Zhang; Yong-Jun Jiang; Wenqing Geng; Wei Xia; Junjie Xu; Hong Shang
Journal:  Front Immunol       Date:  2021-07-22       Impact factor: 7.561

10.  Effects of National Adoption of Treat-All Guidelines on Pre-Antiretroviral Therapy (ART) CD4 Testing and Viral Load Monitoring After ART initiation: A Regression Discontinuity Analysis.

Authors:  Ellen Brazier; Olga Tymejczyk; Elizabeth Zaniewski; Matthias Egger; Kara Wools-Kaloustian; Constantin T Yiannoutsos; Antoine Jaquet; Keri N Althoff; Jennifer S Lee; Yanink Caro-Vega; Paula M Luz; Junko Tanuma; Théodore Niyongabo; Denis Nash
Journal:  Clin Infect Dis       Date:  2021-09-15       Impact factor: 9.079

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.