Dataset Information

MHAT app for automated malaria rapid test result analysis and aggregation: a pilot study.

ABSTRACT:

Background

There are a variety of approaches being used for malaria surveillance. While active and reactive case detection have been successful in localized areas of low transmission, concerns over scalability and sustainability keep the approaches from being widely accepted. Mobile health interventions are poised to address these shortcomings by automating and standardizing portions of the surveillance process. In this study, common challenges associated with current data aggregation methods have been quantified, and a web-based mobile phone application is presented to reduce the burden of reporting rapid diagnostic test (RDT) results in low-resource settings.

Methods

De-identified completed RDTs were collected at 14 rural health clinics as part of a malaria epidemiology study at Macha Research Trust, Macha, Zambia. Tests were imaged using the mHAT web application. Signal intensity was measured and a binary result was provided. App performance was validated by: (1) comparative limits of detection, investigated against currently used laboratory lateral flow assay readers; and, (2) receiver operating characteristic analysis comparing the application against visual inspection of RDTs by an expert. Secondary investigations included analysis of time-to-aggregation and data consistency within the existing surveillance structures established by Macha Research Trust.

Results

When compared to visual analysis, the mHAT app performed with 91.9% sensitivity (CI 78.7, 97.2) and specificity was 91.4% (CI 77.6, 97.0) regardless of device operating system. Additionally, an analysis of surveillance data from January 2017 through mid-February 2019 showed that while the majority of the data packets from satellite clinics contained correct data, 36% of data points required correction by verification teams. Between November 2018 and mid-February 2019, it was also found that 44.8% of data was received after the expected submission date, although most (65.1%) reports were received within 2 days.

Conclusions

Overall, the mHAT mobile app was observed to be sensitive and specific when compared to both currently available benchtop lateral flow readers and visual inspection. The additional benefit of automating and standardizing LFA data collection and aggregation poses a vital improvement for low-resource health facilities and could increase the accuracy and speed of data reporting in surveillance campaigns.

SUBMITTER: Moore C

PROVIDER: S-EPMC8153521 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BACKGROUND:Presumptive diagnosis and prescription of anti-malarial medicines to malaria rapid diagnostic test (RDT)-negative patients is a common practice among health care workers (HCWs) in Nigeria. There is paucity of data on HCWs adherence to RDT result in Sokoto metropolis, Nigeria. The study was conducted to determine HCWs adherence to malaria test result and the influencing factors. METHODS:A cross-sectional study was conducted among 262 HCWs selected by multistage sampling technique from primary and secondary health facilities in Sokoto metropolis. Data on demographic characteristics, adherence to RDT result and its influencing factors were collected from the HCWs. Adherence was categorized into good if adherence score is ≥ 4 and poor if otherwise. Chi-squared test was used to test association between adherence to test results and patients' fever presentation, expectation to be given anti-malarials, prior HCWs' case management training, among others. Independent predictors of adherence to RDT results were ascertained. RESULTS:Respondents' mean age was 33.5 ± 7.9 years, 190 (72.5%) worked in Primary Health Care facilities, 112 (42.8%) were Community Health Workers, 178 (67.9%) had National Diploma Certificate. The median years of practice was 5.0 (IQR: 3-10) years, while 118 (45.0%) had at most 4 years of practice. Overall, 211 (80.5%) had good adherence to RDT results. About 108 (89.3%) of HCWs who had training on malaria case management and 35 (89.7%) certificate holders had good adherence to RDT results. Predictors of adherence to test results were presence of fever in the patient [adjusted odds ratio (aOR): 2.53, 95% confidence interval (CI) 1.18-5.43], patients' expectation to be given anti-malarial medicines by the HCW (aOR: 3.06, 95% CI 1.42-6.58) and having been trained on malaria case management (aOR: 2.63; 95% CI 1.26-5.44). CONCLUSION:High level of adherence to RDT results among HCWs in Sokoto metropolis could be attributed to prior malaria case management training and HCWs' confidence in the national treatment guidelines. Continual training and supportive supervision of HCWs on malaria case management might optimize the current level of adherence to RDT results in Sokoto metropolis, Nigeria. Similarly, patients/caregivers' health education could aid better understanding of the need for anti-malarials thus reducing unnecessary demand.

Project description:For more than a decade, flow cytometry-based automated haematology analysers have been studied for malaria diagnosis. Although current haematology analysers are not specifically designed to detect malaria-related abnormalities, most studies have found sensitivities that comply with WHO malaria-diagnostic guidelines, i.e. ? 95% in samples with > 100 parasites/?l. Establishing a correct and early malaria diagnosis is a prerequisite for an adequate treatment and to minimizing adverse outcomes. Expert light microscopy remains the 'gold standard' for malaria diagnosis in most clinical settings. However, it requires an explicit request from clinicians and has variable accuracy. Malaria diagnosis with flow cytometry-based haematology analysers could become an important adjuvant diagnostic tool in the routine laboratory work-up of febrile patients in or returning from malaria-endemic regions. Haematology analysers so far studied for malaria diagnosis are the Cell-Dyn®, Coulter® GEN·S and LH 750, and the Sysmex XE-2100® analysers. For Cell-Dyn analysers, abnormal depolarization events mainly in the lobularity/granularity and other scatter-plots, and various reticulocyte abnormalities have shown overall sensitivities and specificities of 49% to 97% and 61% to 100%, respectively. For the Coulter analysers, a 'malaria factor' using the monocyte and lymphocyte size standard deviations obtained by impedance detection has shown overall sensitivities and specificities of 82% to 98% and 72% to 94%, respectively. For the XE-2100, abnormal patterns in the DIFF, WBC/BASO, and RET-EXT scatter-plots, and pseudoeosinophilia and other abnormal haematological variables have been described, and multivariate diagnostic models have been designed with overall sensitivities and specificities of 86% to 97% and 81% to 98%, respectively. The accuracy for malaria diagnosis may vary according to species, parasite load, immunity and clinical context where the method is applied. Future developments in new haematology analysers such as considerably simplified, robust and inexpensive devices for malaria detection fitted with an automatically generated alert could improve the detection capacity of these instruments and potentially expand their clinical utility in malaria diagnosis.

Project description:To address Tanzania's high maternal mortality ratio, it is crucial to increase women's access to healthcare. To improve access, the quality of antenatal care needs to be improved. Therefore, we conducted a pilot study of a smartphone app for midwives and examined its potential effects on the learning outcomes of midwives and birth preparedness of pregnant women in Tanzania. This mixed-methods, pilot study provided an educational app for midwives in the intervention group, obtained data about the continuous use of the app, measured midwives' learning outcomes, directed focus group discussions on the usability of the app, and conducted surveys among pregnant women about birth preparedness in the intervention and control groups to evaluate if midwives provided proper information to them. The control group received regular antenatal care and answered the same survey. Participants were 23 midwives who participated in the testing and provided learning outcome data. Twenty-one participated in focus group discussions. Results showed that 87.5% of midwives continued to study with the app two months post-intervention. A mini-quiz conducted after using the app showed a significant increase in mean scores (6.9 and 8.4 points, respectively) and a non-significant increase on the questionnaire on women-centered care (98.6 and 102.2 points, respectively). In the focus group discussions, all midwives expressed satisfaction with the app for several reasons, including comprehensive content, feelings of confidence, and reciprocal communication. There were 207 pregnant women included in the analysis. The intervention group had significantly higher knowledge scores and home-based value scores than did controls. The total scores and other subscales did not show statistical significance for group differences. The results indicate the potential impact of the midwifery education app when it is implemented on a larger scale, especially considering that the results show a potential effect on midwives' learning outcomes.

Project description:The need to expand malaria diagnosis capabilities alongside policy requirements for mandatory testing before treatment motivates exploration of noninvasive rapid diagnostic tests (RDTs). We report the outcome of the first cross-sectional, single-blind clinical performance evaluation of a urine malaria test (UMT) for diagnosis of Plasmodium falciparum malaria in febrile patients. Matched urine and finger-prick blood samples from participants ?2 years of age with fever (axillary temperature of ?37.5°C) or with a history of fever in the preceding 48 h were tested with UMT and microscopy (as the gold standard). BinaxNOW (Pf and Pan versions) blood RDTs were done to assess relative performance. Urinalysis and rheumatoid factor (RF) tests were conducted to evaluate possible interference. Diagnostic performance characteristics were computed at 95% confidence intervals (CIs). Of 1,800 participants screened, 1,691 were enrolled; of these 566 (34%) were febrile, and 1,125 (66%) were afebrile. Among enrolled participants, 341 (20%) tested positive by microscopy, 419 (25%) were positive by UMT, 676 (40%) were positive by BinaxNOW Pf, and 368 (22%) were positive by BinaxNow Pan. UMT sensitivity among febrile patients (for whom the test was indicated) was 85%, and specificity was 84%. Among febrile children ?5 years of age, UMT sensitivity was 93%, and specificity was 83%. The area under the receiver-operator characteristic curve (AUC) of UMT (0.84) was not significantly different from that of BinaxNOW Pf (0.86) or of BinaxNOW Pan (0.87), indicating that the tests do not differ in overall performance. Gender, seasons, and RF did not impact UMT performance. Leukocytes, hematuria, and urobilinogen concentrations in urine were associated with lower UMT specificities. UMT performance was comparable to that of the BinaxNOW Pf/Pan tests, making UMT a promising tool to expand malaria testing in public and private health care settings where there are challenges to blood-based malaria diagnosis testing.