The burden of HIV and tuberculosis on the resuscitation area of an urban district-level hospital in Cape Town

Prevalence and association of HIV and tuberculosis status in older adults in South Africa: an urgent need to escalate the scientific and political attention to aging and health

Objectives

This study examined the prevalence and sociodemographic factors among older adults with HIV and TB status in South Africa.

Methods

This data was cross-sectional and obtained from the 2019 General Household Surveys in South Africa. Adults 50 years and over with reported HIV and TB status were included (N = 9,180,047). We reported statistical analyses of the descriptive, Chi-square and Fisher's exact tests, and binary logistic regression.

Results

The study has found a prevalence rate of HIV to be 5.3% and TB to be 2.9% among older adults aged 50 years and above in South Africa. However, the study found HIV and TB to be highest among older adults residing in Gauteng, KwaZulu-Natal and Eastern Cape provinces. For HIV status, the female gender [AOR = 0.80*, CI 95% = 0.80-0.80] and secondary education [AOR = 0.57, CI 95% = 0.56-0.58] have lower odds of association among older adults with HIV. Regarding TB status, primary education [AOR = 1.08*, CI 95% = 1.06-1.10] and diabetes [AOR = 1.87*, CI 95% = 1.82-1.91] have lower likelihoods of associations among older adults with TB.

Conclusion

There is an urgent need to escalate scientific and political attention to address the HIV/TB burden in older adults and, public health policymakers need to take cognizance of the interdependence of inequality, mobility, and behavioural modification among this high-risk population.

Assessing the cost and utilization of SMS printers by primary health care facilities: lessons learned from South Africa

Background

Historically, paper-based laboratory reports were delivered by couriers to health facilities resulting in post-analytical delays. As a result, short message service (SMS) printers were deployed to fill this gap, with the global data service platform (GDSP) being primarily used to facilitate deployment. In addition, these printers generate binary and quantitative information that can be used to assess utilization.

Objective

The objective of this study was to determine the costs and utilization of the SMS printer program in South Africa.

Methods

A cost analysis for 2020 was undertaken. We determined annual equivalent costs (AEC) for staffing, printers, fixed costs related to the national coordinator, consumables, travel costs, database support/hosting/dashboard development, printer repairs, and results transmission. The main outcome of interest was the cost per SMS printer result delivered. Data were extracted to assess utilization as follows: i) months active (based on internet protocol data); ii) signal; iii) battery strength.

Results

There were 4,450,116 results delivered to printers that were situated at 2232 primary health care facilities. An AEC of $687,727 was reported, with a cost per result delivered of $0.1618. The SMS printers contributed 73.52% to the total AEC. Overall, 90% of the printers were GDSP based, of which only 69.5% were determined to be active. The majority of active printers reported a signal strength of ≥60% and a battery strength of ≥6 volts.

Conclusion

Although the SMS printer program has the potential to reduce post-analytical delays, pathology services should migrate to an end-to-end electronic interface to improve patient care.

Performance of the South African triage score among HIV positive individuals presenting to an emergency department

Introduction

Over a quarter of patients presenting to South African Emergency Centres (EC) have concurrent human immunodeficiency virus (HIV), yet it is unclear how this impacts their presenting complaints, the severity of illness, and overall resource needs in the EC. The primary objective of this study was to compare the performance of the South African Triage Score (SATS) in people living with HIV (PLWH) compared to HIV-negative patients. Secondary objectives included comparing the presentation characteristics and resource utilisation of these populations.

Methods

A prospective cross-sectional observational study was conducted in the Livingstone Hospital EC, Gqeberha, South Africa, to compare triage designation and clinical outcomes in PLWH and HIV-negative patients. In this six-week study, all eligible patients received point-of-care HIV testing and extensive data abstraction, including SATS designation and EC clinical course. Descriptive statistical analysis was completed, and a log-binomial model was used to examine the association between HIV status and clinical outcomes using crude (unadjPR) and adjusted prevalence ratios (adjPR).

Results

During the study period, 755 adult patients who consented to a POC HIV test were enrolled, of which 193 (25.6%) were HIV positive. HIV-positive patients were significantly more likely to be admitted compared to their HIV-negative counterparts when triaged as low acuity (adjPR 1.48, 95% CI 1.14-1.92, (p=0.003)). HIV-positive patients were also significantly more likely to receive laboratory testing when triaged as low acuity (adjPR 1.31, 95% CI 1.08-1.59 (p=0.006)) and as high acuity (adjPR 1.38, 95% CI 1.08-1.59 (p=0.034)) compared to HIV negative patients of the same triage categories.

Conclusion

In our study, PLWH, compared to HIV-negative patients in the same category, were more likely to be admitted and require more EC resources, thus alluding to possible under triage of HIV-positive patients under the current SATS algorithm.

Demographics and clinical characteristics of hospitalised patients under investigation for COVID-19 with an initial negative SARS-CoV-2 PCR test result

Background

The COVID-19 pandemic is placing abnormally high and ongoing demands on healthcare systems. Little is known about the full effect of the COVID-19 pandemic on diseases other than COVID-19 in the South African setting.

Objective

To describe a cohort of hospitalised patients under investigation for SARS-CoV-2 that initially tested negative.

Methods

Consecutive patients hospitalised at Khayelitsha Hospital from April to June 2020, whose initial polymerase chain reaction test for SARS-CoV-2 was negative were included. Patient demographics, clinical characteristics, ICD-10 (International Statistical Classification of Diseases and Related Health Problems 10th Revision) diagnosis, referral to tertiary level facilities and ICU, and all-cause in-hospital mortality were collected. The 90-day re-test rate was determined and comparisons were made using the χ²-test and the independent samples median test.

Results

Overall, 261 patients were included: median age 39.8 years, 55.6% female (n = 145). Frequent comorbidities included HIV (41.4%), hypertension (26.4%), and previous or current tuberculosis (24.1%). Nine (3.7%) patients were admitted to ICU and 38 (15.6%) patients died. Ninety-three patients (35.6%) were re-tested and 21 (22.6%) were positive for SARS-CoV-2. The top primary diagnoses related to respiratory diseases (n = 82, 33.6%), and infectious and parasitic diseases (n = 62, 25.4%). Thirty-five (14.3%) had a COVID-19 diagnostic code assigned (26 without microbiological confirmation) and 43 (16.5%) had tuberculosis. Older age (p = 0.001), chronic renal impairment (p = 0.03) and referral to higher level of care (all p < 0.001; ICU p = 0.03) were more frequent in those that died.

Conclusion

Patients with tuberculosis and other diseases are still presenting to emergency centres with symptoms that may be attributable to SARS-CoV-2 and requiring admission. Extreme vigilance will be necessary to diagnosis and treat tuberculosis and other diseases as we emerge from the COVID-19 pandemic.