Access to point-of-care (POC) diagnostics services is essential for ensuring rapid disease diagnosis, management, control, and surveillance. POC testing services can improve access to healthcare especially where healthcare infrastructure is weak and access to quality and timely medical care is a challenge. Improving the accessibility and efficiency of POC diagnostics services, particularly in resource-limited settings, may be a promising route to improving healthcare outcomes. In this review, the accessibility of POC testing is defined as the distance/proximity to the nearest healthcare facility for POC diagnostics service. This review provides an overview of the impact of POC diagnostics on healthcare outcomes in low- and middle-income countries (LMICs) and factors contributing to the accessibility of POC testing services in LMICs, focusing on characteristics of the supply chain management and quality systems management, characteristics of the geographical location, health infrastructure, and an enabling policy framework for POC diagnostics services. Barriers and challenges related to the accessibility of POC diagnostics in LMICs were also discussed. Bearing in mind the reported barriers and challenges as well as the disease epidemiology in LMICs, we propose a lean and agile supply chain management framework for improving the accessibility and efficiency of POC diagnostics services in these settings.

Background In Ghana, limited evidence exists about the geographical accessibility to health facilities providing tuberculosis (TB) diagnostic services to facilitate early diagnosis and treatment. Therefore, we aimed to assess the geographic accessibility to public health facilities providing TB testing services at point-of-care (POC) in the Upper East Region (UER), Ghana. Methods We assembled detailed spatial data on all 10 health facilities providing TB testing services at POC, and landscape features influencing journeys. These data were used in a geospatial model to estimate actual distance and travel time from the residential areas of the population to health facilities providing TB testing services. Maps displaying the distance values were produced using ArcGIS Desktop v10.4. Spatial distribution of the health facilities was done using spatial autocorrelation (Global Moran’s Index) run in ArcMap 10.4.1. We also applied remote sensing through satellite imagery analysis to map out residential areas and identified locations for targeted improvement in the UER. Results Of the 13 districts in the UER, 4 (31%) did not have any health facility providing TB testing services. In all, 10 public health facilities providing TB testing services at POC were available in the region representing an estimated population to health facility ratio of 125,000 people per facility. Majority (60%) of the health facilities providing TB testing services in the region were in districts with a total population greater than 100,000 people. Majority (62%) of the population resident in the region were located more than 10 km away from a health facility providing TB testing services. The mean distance ± standard deviation to the nearest public health facility providing TB testing services in UER was 33.2 km ± 13.5. Whilst the mean travel time using a motorized tricycle speed of 20 km/h to the nearest facility providing TB testing services in the UER was 99.6 min ± 41.6. The results of the satellite imagery analysis show that 51 additional health facilities providing TB testing services at POC are required to improve geographical accessibility. The results of the spatial autocorrelation analysis show that the spatial distribution of the health facilities was dispersed (z-score = − 2.3; p = 0.02). Conclusion There is poor geographic accessibility to public health facilities providing TB testing services at POC in the UER of Ghana. Targeted improvement of rural PHC clinics in the UER to enable them provide TB testing services at POC is highly recommended. Electronic supplementary material The online version of this article (10.1186/s12889-019-7052-2) contains supplementary material, which is available to authorized users.

Background Improving access to maternal healthcare in resource-limited settings plays a critical role in improving maternal health outcomes and reducing maternal deaths. However , barriers and challenges may exist in rural clinics and could affect successful implementation. This study assessed the current accessibility of pregnancy-related point-of-care (POC) diagnostic tests for maternal healthcare in rural primary healthcare (PHC) clinics in northern Ghana. Method We randomly selected 100 PHC clinics providing maternal healthcare from a total list of 356 PHC clinicss obtained from the Regional Health Directorate. Selected clinics were surveyed from February to March 2018, using an adopted survey tool. We obtained data for clinic-level staffing, availability, usage, and desired POC diagnostic tests. Stata 14 was used for data analysis. Findings Majority (64%) of the respondents were midwives. The mean ± standard deviation (SD) years of work experience and working hours per week were estimated at 5.6 years ± 0.4 and 122 hours ± 5.2 respectively. Average antenatal clinic attendance (clinic census) per month was 65 ± 67 pregnant women (Range: 3–360). The mean ± SD POC tests available and use was 4.9 tests ± 2.2. POC tests for malaria, HIV, urine pregnancy, and blood pressure monitoring devices were available in most clinics. POC tests requested by the clinics to assist them care for pregnant women included: Glucose-6-phosphate dehydrogenase (95%); hepatitis C (94%); sickling (91%); tuberculosis, blood glucose and blood type (89%) each; urinary tract infection (87%); urine protein (81%); hepatitis B (78%); haemoglobin (76%); and syphilis (76%). Interpretation There is poor accessibility to pregnancy-related POC diagnostic tests for maternal healthcare due to low availability (≤5 tests per PHC clinic) of POC tests in rural PHC clinics in northern Ghana.

Background World Health Organization (WHO) has created an essential list of in-vitro diagnostics. Supply chain management (SCM) is said to be the vehicle that ensures that developed point-of-care (POC) tests reach their targeted settings for use. We therefore, mapped evidence on SCM of and accessibility to POC testing (availability and use of POC tests) in low- and middle-income countries (LMICs). Methods We conducted a systematic scoping review using Arksey and O’Malley’s framework as a guide. We searched PubMed; CINAHL; MEDLINE; WEB of Science; Science Direct; and Google Scholar databases for studies that focused on POC diagnostic tests and SCM. The review included studies that were undertaken in 140 countries defined by the World Bank as LMICs published up to August 2017. Two reviewers independently screened the abstracts and full articles against the eligibility criteria. The study used the mixed methods appraisal tool version 2011 to assess the risk of bias for the included studies. NVivo version 11 was employed to extract themes from all included studies and results presented using a narrative approach. Results Of 292 studies identified in this review, only 15 published between 2009 and 2017 included evidence on POC diagnostics and SCM. Of the 15 studies, three were conducted in Zambia, one each in Mozambique, Uganda, Guatemala; South Africa, one in Burkina Faso, Zimbabwe, and one multi-country study (Tanzania, Uganda, China, Peru and Zambia and Brazil). Six studies were not country specific since they were not primary studies. Majority of the studies reported stock-outs of HIV, syphilis, and malaria POC tests. There was a moderate to substantial level of agreement between the reviewers’ responses at full article screening stage (Kappa statistic = 0.80, p < 0.01). Nine studies underwent methodological quality appraisal and all, scored between 90 and 100%. Conclusions The results demonstrated limited published research on SCM of and accessibility to POC testing in LMICs. Further studies aimed at investigating SCM of POC tests in resource-limited settings to identify the barriers/challenges and provide a context-specific evidence-based solutions for policy/decision makers, implementers, and POC developers, funders, and development partners would be essential. PROSPERO registration number CRD42016043711. Electronic supplementary material The online version of this article (10.1186/s12913-019-4351-3) contains supplementary material, which is available to authorized users.

Introduction Several supply chain components are important to sustain point-of-care (POC) testing services in rural settings. To evaluate the availability of POC diagnostic tests in rural Ghana’s primary healthcare (PHC) clinics, we conducted an audit of the supply chain management for POC diagnostic services in rural Upper East Region’s (UER) PHC clinics, Ghana to determine the reasons/causes of POC tests deficiencies. Material and methods We conducted a review of accessible POC diagnostics in 100 PHC clinics in UER, Ghana from February to March 2018. We used a monitoring audit tool adopted from the World Health Organization and Management Science for Health guidelines for supply chain management of diagnostics for compliance. We determined a clinic’s compliance with the stipulated guidelines, and a composite compliant score was defined as a percentage rating of 90 to 100%. We used univariate logistic regression analysis in Stata 14 to determine the level of association between supply chain management and the audit variables. Results Overall, the composite compliant score of supply chain management for existing POC tests was at 81% (95%CI: 79%–82%). The mean compliance with distribution guidelines was at 93.8% (95%CI: 91.9%–95.6%) the highest score, whilst inventory management scored the lowest, at 53.5% (95%CI: 49.5%–57.5%) compliance. Of the 13 districts in the region, the results showed complete stock-out of blood glucose test in all selected PHC clinics in seven (53.8%) districts, haemoglobin and hepatitis B virus test in three (23.1%), and urine protein test in two (15.4%) districts. Based on our univariate logistics regression models, stock-out of tests at the Regional Medical and District Health Directorates stores in the region, high clinic attendance, lack of documentation of expiry date/expired tests, poor documentation of inventory level, poor monitoring of monthly consumption level, and failure to document unexplained losses of the various POC tests were significant predictors of complete test stock-out in most of the clinics in the Upper East Region. Discussion There is poor supply chain management of POC diagnostic tests in UER’s PHC clinics. Improvement in inventory management and human resource capacity for POC testing is critical to ensure accessibility and sustainability of POC diagnostic services in resource-limited settings PHC clinics.