| Literature DB >> 36231201 |
Claudia Goncalves Rebelo Jardim1, Reza Zamani1, Mohammad Akrami2.
Abstract
Progress has been made towards controlling the Human Immunodeficiency Virus (HIV) epidemic in South Africa. However, the emergence of coronavirus disease 2019 (COVID-19) has disrupted access to health care. This systematic review aims to evaluate the impact of the pandemic on accessing HIV services at a primary health care (PHC) level in South Africa. HIV services that have been significantly impacted are highlighted, and recommendations for future public health emergencies are made. Three databases were searched in January 2022. The studies included were those that reported on HIV services at a PHC level in South Africa. From the searches, 203 papers were identified, of which 34 full texts were screened. Eleven studies met the inclusion criteria and were included in this review. Overall, decreases in HIV testing, positive HIV tests, and initiation of antiretroviral therapy (ART) were reported. Resilience of ART provision was reported, meaning that adherence to treatment was sustained throughout the pandemic. The findings showed that HIV services at private PHC facilities were unaffected, however, an overall decrease in HIV services at public PHC facilities was reported, excluding antenatal care which showed resilience.Entities:
Keywords: ART; COVID-19 pandemic; HIV services; South Africa; access; epidemiology; primary health care; public health; systematic review
Mesh:
Year: 2022 PMID: 36231201 PMCID: PMC9565529 DOI: 10.3390/ijerph191911899
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Figure 1A line graph illustrating the annual number of HIV tests conducted in each province of South Africa, from 2018 to the end of 2020. Data was collected from the National Department of Health website, and represents HIV testing trends in the public health sector [17]. Each point represents the number of HIV tests conducted in the province for that specified year. The trend lines show that between 2018 and 2020, HIV testing in every province increased. In contrast, the trend line for 2020–2021 fell much lower than previous years. No significant change in HIV testing was observed for Free State and the North West, while Gauteng experienced the most drastic decline between 2019–2020 and 2020–2021. This graph has been adapted from Pillay et al. [18].
Inclusion and exclusion criteria.
| Inclusion Criteria | Exclusion Criteria | |
|---|---|---|
| Population |
Patients from all age groups receiving HIV services from: Private and public primary healthcare facilities in SA Primary healthcare providers |
HIV services outside the primary healthcare system |
| Interest |
Inequalities in access to HIV care services during the COVID-19 era |
Biomarker detection in the blood |
| Context |
Impact on HIV care services Studies conducted in SA |
Studies without SA-based data |
| Study design |
Cohort studies |
Non-English studies Studies published before 2017 |
Our study follows the Population–Interest–Context (PICo) format.
Line-by-line search history.
| PubMed | Web of Science | Ovid (MEDLINE) | |
|---|---|---|---|
|
| (“Health Services”[Mesh] OR “primary health care”[Mesh] OR “health care”[tiab] OR “health service*”[tiab] OR refer*[tiab] or access*[tiab]) | TS = (“Health service*” OR “primary health care” OR “primary AND healthcare” OR “primary AND care” OR refer* OR access*) | (Health services OR primary health care OR primary healthcare OR health service* OR access* OR refer*).ti,ab. |
| AND | AND | AND | |
| (“SARS-CoV-2”[Mesh] OR “COVID-19”[Mesh] OR covid[tiab] OR coronavirus[tiab] OR “corona virus”[tiab]) | TS = (SARS-CoV-2 OR COVID-19 OR covid OR coronavirus OR “corona AND virus”) | (COVID-19 OR SARS-CoV-2 OR coronavirus).ti,ab. | |
| AND | AND | AND | |
| (“HIV Infections”[Mesh] OR HIV[tiab] OR “HIV test*”[tiab] OR “HIV diagnos*”[tiab]) | TS = (“human immunodeficiency virus” OR HIV OR “HIV infection*” OR “HIV test*” OR “HIV diagnos*”) | (HIV OR HIV infection* OR HIV test* OR HIV diagnos*).ti,ab. | |
| AND | AND | AND | |
| (“South Africa”[tiab] OR “southern Africa”[tiab]) | CU = (“South Africa” OR “southern Africa”) | (South Africa OR southern Africa).ti,ab. | |
|
| From 2018–2022 | From 2018–2022 | From 2018–2022 |
| English | English | English |
tiab = title or abstract; Mesh = Medical Subject Heading; “*” indication truncation, searching for variation of suffixes and prefixes. TS = topic; CU = country/region. ti,ab. = title or abstract. The Boolean operators ‘AND’ and ‘OR’ were applied to combine searches and further refine the database search. The same terms were used for each database to ensure consistency in the search results. All searches were limited to publication dates between 2018 and 2022. English language was selected for the search.
Figure A1The process of study screening and selection, including the numbers of results from the database searches and numbers and reasons for study exclusion at each stage of the process [19].
Study Characteristics.
| Author and Date | Aim of Study | Location | Journal Rank | Data Source | Type of HIV Service(s) Reported | Study Conclusion |
|---|---|---|---|---|---|---|
| [ | To investigate changes in individual, social, and structural factors during the COVID-19 pandemic, and whether these changes impacted ART adherence during the lockdown. | Cape Metro area, Western Cape | Q1 | Base-line and follow-up data from participants in the Sinako trial (31) |
Adherence to ART |
The impact of lockdown is unequal, and is dependent on a combination of individual, social and structural factors. Association between positive household environment and good ART adherence. |
| [ | To evaluate the effect of the COVID-19 pandemic on PrEP-PP study visits and on PrEP prescription refill visits among pregnant women in antenatal care | Cape Town, Western Cape | Q1 | Cohort study |
PrEP prescription refill visits |
During lockdown, missed PrEP visits increased significantly by 63% at the 1-month visit, and 55% at the 3-month visit. Overall, 57% of women missed their PrEP visits during lockdown. |
| [ | To measure the impact of the COVID-19 lockdown on HIV testing and treatment | Kwazulu-Natal | Q1 | District Health Information System (DHIS) |
Testing for HIV Initiating ART ART collection |
In rural areas, HIV services were generally maintained for people already receiving ART. Engaging new people into care was impeded by the lockdown, particularly in urban clinics. |
| [ | To assess the impact of the COVID-19 outbreak on routine child health services | Kwazulu-Natal | Q3 | District Health Information System (DHIS) |
HIV PCR testing at birth |
Significant reductions in infant PCR testing for HIV, large variations in data indicate inequalities in service delivery. |
| [ | To evaluate the characteristics, clinical management and outcomes of patients with COVID-19 at district hospitals | Western Cape | Q1 | Medical records from eight district hospitals | - |
District hospitals provided essential primary care service during lockdown, whilst access to primary care facilities was limited. |
| [ | To analyse trends in HIV, TB and PMTCT indicators during the COVID-19 lockdown | Mopani district, Limpopo | Q3 | District Health Information System (DHIS) |
HIV tests HIV tests (+) ART initiation ART adherence Antenatal visits |
HC, HIV, and ART indicators were negatively affected by lockdown. PMTCT and TB indicators were mostly unaffected. |
| [ | To assess the direct and indirect effects of the COVID-19 pandemic on private healthcare utilisation | All nine provinces | Q1 | Data provided by |
GP visits for HIV |
GP consultations for HIV were not substantially affected by lockdown restrictions, and continued at baseline levels throughout most of the pandemic. |
| [ | To assess the impact of COVID-19 on routine primary healthcare services | All nine provinces | Q3 | District Health Information System (DHIS) |
Access to contraceptives and family planning HIV testing |
All provinces experienced a decline in PHC headcount, WC had the largest decline of 31.1%. The largest decline in the prescription of contraceptives was seen between April and May 2020 (highest level of lockdown). A 22.3% decline in national HIV testing between March and December 2020. |
| [ | To analyse the rates of COVID-19 infection amongst Anova-employed HCWs | Cape Town, Western Cape | Q3 | Employee database |
HIV testing amongst PHC workers |
CHWs are at higher risk of COVID-19 infection due to insufficient training and poor infrastructure. Staff shortages were largely due to the high infection rates amongst CHWs. |
| [ | To evaluate whether the implementation of lockdown affected access to PHC | Northern Kwazulu-Natal | Q1 | Agincourt health and socio-demographic surveillance system (HDSS) |
Initiation of ART Continuation of ART ART collection under the chronic care medical dispending programme |
Evidence of sustained visitation in HIV ambulatory clinic utilisation. Estimated 20% increase in clinic visits for HIV immediately after lockdown. |
| [ | To evaluate the effectiveness of decentralised HIV care during the COVID-19 pandemic | Kwazulu-Natal | Q3 | Interviews with 112 clinic staff and 24 pick-up point staff |
Preparedness amongst PHC workers at clinics and community-based pick-up points to deliver ART |
Pick-up point staff and facilities were inadequately prepared to work with HIV patients during the COVID-19 pandemic. |
This summary reports on the aim, location, and journal rank of the studies. Each study’s data source is included, as this accounts for similarities in some of the findings. Journals are ranked into quartiles: Q1 being of the highest quality and Q4 being the lowest. This was conducted following the inclusion and exclusion criteria to assess the quality of the papers. Those with a Q4 ranking were excluded and those in the Q3 group were assessed based on the value of the information in the paper. ‘-’ = missing data; COVID-19 = Coronavirus disease 2019; ART = Antiretroviral Therapy; PrEP = Pre-exposure Prophylaxis; HIV = Human Immunodeficiency Virus; PCR = Polymerase Chain Reaction; TB = Tuberculosis; PMTCT = Prevention of Mother-to-Child Transmission; HIV test (+) = Positive HIV test; HC = Headcount; WC = Western Cape; CHW = Community Healthcare Worker; HCW = Healthcare Worker; PHC = Primary Health Care; CCMDD = Central Chronic Medicine Dispensing and Distribution Programme.
Figure 2A pie chart representing the distribution of data on HIV services. Approximately 36% of the studies reported on HIV testing, 36% reported on antenatal care, and 27% reported on ART initiation. Only two studies reported on ART initiation. This shows that there is not enough data available for ART initiation, which should be considered as an area of future observation. Two studies did not specify the type of HIV service being reported. (HIV = Human Immunodeficiency Virus; ART = Antiretroviral therapy).
This table summarises the changes in HIV testing services in chronological order, from before lockdown, to during lockdown. Data are expressed by incidence rate ratio (CI 95%), or the interquartile range is given. (IQR = Interquartile Range; IRR = Incidence Rate Ratio; CI = Confidence Interval; HIV = Human Immunodeficiency Virus; PCR = Polymerase Chain Reaction).
| Reference | 1–26 March 2020 | 26 March–30 April 2020 | 1–31 May 2020 | 1 June–17 August 2020 | 18 August–21 September 2020 | 21 September–28 December 2020 |
|---|---|---|---|---|---|---|
| Pre-Lockdown | Level 5 | Level 4 | Level 3 | Level 2 | Level 1 | |
| [ | HIV tests positive per month are 6.1% (IQR 5.4–7.0%) | 47.6% decrease in HIV testing (IRR 0.524, 95% CI 0.446–0.615) | HIV testing reaches 82.7% of pre-lockdown levels (IRR 0.827, 95% CI 0.704–0.972) | |||
| HIV tests positive per month are 4.3% (IQR 4.0–4.8%) | ||||||
| [ | Infant PCR testing at birth declined by 5% in March, and 6% in April ( | Infant PCR testing at birth declined by 15% ( | Infant PCR testing at birth declined by 15% ( | |||
| [ | Significant decrease in HIV testing for the age group 18 months–14 years ( | Statistically significant increase in the monthly trend for HIV testing ( | Significant decrease in HIV testing for the age group 18 months–14 years ( | |||
| Significant decrease in HIV testing for age group | Highly significant increase in HIV testing and positive HIV tests for age group | Significant decrease in HIV testing for age group | ||||
| PCR testing and PCR test (+) are unaffected | ||||||
| Significant decrease in HIV test (+) for the age group 18 months–14 years ( | Statistically significant decreases in PCR testing ( | Significant decrease in HIV test (+) for the age group | ||||
| Significant decrease in HIV test (+) for the age group | ||||||
| [ | Largest national decline in HIV testing | |||||
This table summarises the changes in ART services in chronological order, from before the lockdown, to during the lockdown. Some data are in incidence rate ratio (CI 95%) or the interquartile range is given. (IQR = Interquartile Range; IRR = Incidence Rate Ratio; CI = Confidence Interval; HIV = Human Immunodeficiency Virus; ART = Antiretroviral Therapy).
| Reference | 1–26 March 2020 | 26 March–30 April 2020 | 1–31 May 2020 | 1 June–17 August 2020 | 18 August–21 September 2020 | 21 September–28 December 2020 |
|---|---|---|---|---|---|---|
| Pre-Lockdown Period | Level 5 | Level 4 | Level 3 | Level 2 | Level 1 | |
| [ | Increase in number of ART collection visits (IRR 1.233, 95% CI 1.113–1.366) | 46.2% decrease in ART initiations (IRR 0.538, 95% CI 0.459–0.630) | ART initiations reach 75.3% of pre-lockdown levels (IRR 0.753, 95% CI 0.637–0.890) | |||
| Weak evidence of a small decrease in number of ART collection visits (IRR 0.932, 95% CI 0.794–1.093) | Some evidence suggests ART collection visits were lower than pre-lockdown levels (IRR 0.859, 95% CI 0.747–0.989) | |||||
| [ | 45% decrease in ART initiation for the age group < 15 years | Statistically significant decreases in adults and children initiating ART | No recovery in ART initiation rate | |||
| 33% decrease in ART initiation for treatment-naïve adults | ||||||
| 41% decrease in ART initiation for treatment-naïve children naïve | ||||||
| 1% decrease in ART continuation for children < 15 years | ||||||
| [ | 37.6 mean daily HIV-related clinical visits | 45.5 mean daily HIV-related clinical visits, an estimated 20% increase | 56.6 mean daily HIV-related clinical visits | 60.6 mean daily HIV-related clinical visits | ||
Figure 3Line graph presenting the monthly numbers of HIV tests and positive HIV tests (+) for adults over 15 years of age in 2020. The number of positive HIV tests follows the trend of the number of HIV tests being conducted. A significant decrease in both testing and positive tests was seen for the month of April, coinciding with the start of lockdown level five. A monthly increase in testing and positive tests was seen throughout the year, however, it did not increase to the pre-lockdown level. This figure was created using data from Mutyambizi et al., 2021 [26]. (HIV = Human Immunodeficiency Virus).
Figure 4Line graph presenting the monthly number of HIV tests and positive HIV tests (+) for children under 15 years of age in 2020. The number of positive HIV tests followed the trend of the number of HIV tests being conducted. A significant decrease in testing and positive tests was seen for the months of April and May, coinciding with the start of the first wave of COVID-19 cases in South Africa. A monthly increase in testing and positive tests was seen throughout the year, however, it did not increase pre-lockdown levels. The number of children < 15 years of age testing positive for HIV significantly increased between November and December. This figure was created using data from Mutyambizi et al., 2021 [26]. (HIV = Human Immunodeficiency Virus).
Figure 5Line graph illustrating the annual number of HIV tests conducted in each province of South Africa, from 2018 until the end of 2020. Data was collected from the National Department of Health website, and represents HIV testing trends in the public health sector [17]. Each point represents the number of HIV tests conducted in the province for that specified year. The trend lines show that between 2018 and 2020, HIV testing in every province increased. In contrast, the trend line for 2020–2021 fell much lower than previous years. No significant change in HIV testing can be seen for Free State and the North West, however, Gauteng experienced the most drastic decline between 2019–2020 and 2020–2021.
Social factors impacting ART adherence.
| Social, Structural or Individual Factor | Impact of COVID-19 on Social, Structural or Individual Factors | Impact on ART Adherence |
|---|---|---|
| Healthcare access | A minority (15.66%) of participants reported issues with accessing health care to support their ART adherence. | There was limited evidence of an association between healthcare access and ART adherence (−1.30, t = −2.69, |
| Food insecurity | The majority of participants (60%) reported issues obtaining food during lockdown. | Participants who stated that in their household, adult food consumption was often restricted reported lower ART adherence scores (−1.19, Z = −2.33, |
| Economic insecurity | 78.95% of participants reported falling below the poverty line. | There was no evidence of an association between ART adherence scores and household income (0.13, t = 0.29, |
| Household HIV stigma | A decrease in household HIV stigma was reported, with 50% of participants reporting that they do not feel blamed by their household members because of their HIV status. | Experiencing stigma was negatively associated with ART adherence scores (−4.06, t = −2.86, |
| Household violence | A decrease in household violence was reported, with 92.77% of participants reporting no instances of household violence following lockdown. | There was strong evidence that experiencing all forms of violence was associated with lower ART adherence scores (−2.09, t = −2.55, |
| Household functioning | Following lockdown, more participants (95.18%) reported a feeling of togetherness in their household. | Participants whose household members did not work together to work out problems reported lower ART adherence scores (−3.02, t = −3.01, |
| Self-reported wellbeing | Over a quarter of participants reported feeling more depressed since the arrival of COVID-19 (29%), and since the start of lockdown (27%). | Participants feeling depressed during the lockdown reported lower ART adherence scores (−1.17, t = −2.47, |