We conducted an observational study in Malawi to understand the patient impact of implementing point-of-care early infant diagnosis (POC EID). Antiretroviral treatment initiation rates were significantly improved with the implementation of same-day POC EID testing compared with referred, longer-turnaround laboratory-based testing.

Background: Despite policies advocating centralised transfusion services based on voluntary donors, the hospital-based replacement donor system is widespread in sub-Saharan Africa. Aims: To evaluate the cost of all laboratory resources needed to provide a unit of safe blood in rural Malawi using the family replacement donor system Methods: Full economic costs of all laboratory tests used to screen potential donors and to perform crossmatching were documented in a prospective, observational study in Ntcheu district hospital laboratory. Results: 1729 potential donors were screened and 11 008 tests were performed to ensure that 1104 units of safe blood were available for transfusion. The annual cost of all transfusion-related tests (in 2005 US$) was $17 976, equivalent to $16.28 per unit of transfusion-ready blood. Transfusion-related tests used 53% of the laboratory's total annual expenditure of $33 608. Conclusions: This is the first study to provide prospective economic costs of all laboratory tests associated with the family replacement donor system in a district hospital in Africa. Results show that despite potential economies of scale, a unit of blood from the centralised system costs about three times as much as one from the hospital-based ''replacement'' system. Factors affecting these relative costs are complex but are in part due to the cost of donor recruitment in centralised systems. In the replacement system the cost of donor recruitment is entirely borne by families of patients needing a blood transfusion.

Aims: To evaluate the characteristics of manual haemoglobin methods in use in Malawi and provide evidence for the Ministry of Health in Malawi to enable them to choose a suitable method for district hospitals. Methods: Criteria on accuracy, clinical usefulness, user friendliness, speed, training time, and economic costs were determined by local health professionals and used to compare six different manual haemoglobin methods. These were introduced sequentially into use in a district hospital in Malawi alongside the reference method. Results: HemoCue was the optimal method based on most of the outcome measures but was also the most expensive (US$0.75/test). DHT meter and Jenway colorimeter were the second choice because they were cheaper (US$0.20-0.35/test), but they were not as accurate or user friendly as HemoCue. Conclusions: The process for choosing appropriate laboratory methods is complex and very little guidance is available for health managers in poorer countries. This paper describes the development and testing of a practical model for gathering evidence about test efficiency that could be adapted for use in other resource poor settings.

Introduction In many low‐ and middle‐income countries, HIV viral load (VL) testing occurs at centralized laboratories and time‐to‐result‐delivery is lengthy, preventing timely monitoring of HIV treatment adherence. Near point‐of‐care (POC) devices, which are placed within health facility laboratories rather than clinics themselves (i.e. “true” POC), can offer VL in conjunction with centralized laboratories to expedite clinical decision making and improve outcomes, especially for patients at high risk of treatment failure. We assessed impacts of near‐POC VL testing on result receipt and clinical action in public sector programmes in Cameroon, Democratic Republic of Congo, Kenya, Malawi, Senegal, Tanzania and Zimbabwe. Methods Routine health data were collected retrospectively after introducing near‐POC VL testing at 57 public sector health facilities (2017 to 2019, country‐dependent). Where possible, key indicators were compared to data from patients receiving centralized laboratory testing using hazard ratios and the Somers’ D test. Results Data were collected from 6795 tests conducted on near‐POC and 17614 tests on centralized laboratory‐based platforms. Thirty‐one percent (2062/6694) of near‐POC tests were conducted for high‐risk populations: pregnant and breastfeeding women, children and those with suspected failure. Compared to conventional testing, near‐POC improved the median time from sample collection to return of results to patient [six vs. sixty‐eight days, effect size: −32.2%; 95% CI: −41.0% to −23.4%] and to clinical action for individuals with an elevated HIV VL [three vs. fourty‐nine days, effect size: −35.4%; 95% CI: −46.0% to −24.8%]. Near‐POC VL results were two times more likely to be returned to the patient within 90 days compared to centralized tests [50% (1781/3594) vs. 27% (4172/15271); aHR: 2.22, 95% CI: 2.05 to 2.39]. Thirty‐seven percent (340/925) of patients with an elevated near‐POC HIV VL result had documented clinical follow‐up actions within 30 days compared to 7% (167/2276) for centralized testing. Conclusions Near‐POC VL testing enabled rapid test result delivery for high‐risk populations and led to significant improvements in the timeliness of patient result receipt compared to centralized testing. While there was some improvement in time‐to‐clinical action with near‐POC VL testing, major gaps remained. Strengthening of systems supporting the utilization of results for patient management are needed to truly capitalize on the benefits of decentralized testing.

Aims: To identify priorities for improving effective use of laboratory services in a district hospital in Malawi. Methods: A prospective observational study of clinicianpatient interactions to analyse laboratory test requesting practices and utilisation of laboratory results. The proportion of tests that was appropriately ordered, processed and ultimately influenced clinical management was used to assess effectiveness of utilisation. Results: 420 clinical consultations between health professionals and patients were observed. 92% of tests were ordered appropriately, 84% were processed by the laboratory and 64% of results influenced patient management. 73-79% of high-volume tests (haemoglobin, microscopy for malaria and tuberculosis) and 32% of low-volume tests influenced management. Conclusions: 25% of commonly requested laboratory tests were not utilised effectively; because of the high volume, interventions to improve their use are likely to be cost effective. Although 68% of low-volume tests were not used efficiently, the cost of providing support for these tests in a resource-poor setting needs to be balanced against their clinical usefulness. In contrast to published information, this study shows significant underrequesting of laboratory tests that were available. Measures to increase appropriate test requests will have implications for clinician education as well as laboratory space, budgets and staffing levels.