Evaluating a 24-h mobile reporting system for malaria notifications in comparison with a paper-based system in South Africa, 2015

Baloyi, Ramokone Ednah; Shandukani, Mbavhalelo; Graffy, Rebecca; Misiani, Eunice; Mayet, Natalie; Mabunda, Eric; Mabuza, Aaron; Qwabe, Bheki; Ngwenyama, Bongani; Reddy, Carl; Moonasar, Devanand

doi:10.1186/s12936-018-2451-x

Cited by 12 publications

(16 citation statements)

References 11 publications

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“…The introduction of the electronic Malaria Information System (eMIS) in Thailand improved point-of-care and real-time data quality and case management [26,27]. Similarly, replacing paper-based reporting system with a mobile reporting system in South Africa substantially shortened the time period between case detection and reporting: the frontline health works readily adopted the system primarily due to the simplicity of its use [28]. To ensure timely and effective reporting, the NMCP should strengthen the surveillance database system in Myanmar by integrating with District Health Information System 2 (DHIS2) platform and upgrading the electronic surveillance database system up to township and regional level data systems.…”

Section: Discussionmentioning

confidence: 99%

Challenges in early phase of implementing the 1-3-7 surveillance and response approach in malaria elimination setting: A field study from Myanmar

Aung¹,

Thein²,

Hein

et al. 2020

Infect Dis Poverty

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Background: The National Plan for Malaria Elimination (NPME) in Myanmar (2016-2030) aims to eliminate indigenous Plasmodium falciparum malaria in six states/regions of low endemicity by 2020 and countrywide by 2030. To achieve this goal, in 2016 the National Malaria Control Program (NMCP) implemented the "1-3-7" surveillance and response strategy. This study aims to identify the barriers to successful implementation of the NPME which emerged during the early phase of the "1-3-7" approach deployment. Methods: A mixed-methods study was conducted with basic health staff (BHS) and Vector Born Disease Control Program (VBDC) staff between 2017 and 2018 in six townships of six states/regions targeted for sub-national elimination by 2020. A self-administered questionnaire, designed to assess the knowledge required to implement the "1-3-7" approach, was completed by 544 respondents. Bivariate analysis was performed for quantitative findings and thematic analysis was conducted for qualitative findings using Atals.ti software. Results: Although 83% of participants reported performing the key activities in the "1-3-7" surveillance and response approach, less than half could report performing those activities within 3 days and 7 days (40 and 43%, respectively). Low proportion of BHS correctly identified six categories of malaria cases and three types of foci (22 and 26%, respectively). In contrast, nearly 80% of respondents correctly named three types of case detection methods. Most cited challenges included 'low community knowledge on health' (43%), 'inadequate supplies' (22%), and 'transportation difficulty' (21%). Qualitative data identified poor knowledge of key surveillance activities, delays in reporting, and differences in reporting systems as the primary challenges. The dominant perceived barrier to success was inability to control the influx of migrant workers into target jurisdictions especially in hard-to-reach areas. Interviews with township medical officers and the NMCP team leaders further highlighted the necessity of refresher training for every step in the "1-3-7" surveillance and response approach. Conclusions: The performance of the "1-3-7" surveillance and response approach in Myanmar delivers promising results. However, numerous challenges are likely to slow down malaria elimination progress in accordance with the NPME. Multi-stakeholder engagement and health system readiness is critical for malaria elimination at the subnational level.

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Section: Discussionmentioning

confidence: 99%

Challenges in early phase of implementing the 1-3-7 surveillance and response approach in malaria elimination setting: A field study from Myanmar

Aung¹,

Thein²,

Hein

et al. 2020

Infect Dis Poverty

View full text Add to dashboard Cite

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“…The benefits of using such technologies can be obtained at different levels of health systems. In health centres, they can help in reducing the workload, and improve data collection and reporting [41,42]. At the district, provincial and national level, they can enhance monitoring, support supervision and feedback [41].…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the malaria reporting system supported by the District Health Information System 2 in Solomon Islands

Wangdi

Sarma

Leaburi³

et al. 2020

Malar J

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Background District Health Information Systems 2 (DHIS2) is used for supporting health information management in 67 countries, including Solomon Islands. However, there have been few published evaluations of the performance of DHIS2-enhanced disease reporting systems, in particular for monitoring infectious diseases such as malaria. The aim of this study was to evaluate DHIS2 supported malaria reporting in Solomon Islands and to develop recommendations for improving the system. Methods The evaluation was conducted in three administrative areas of Solomon Islands: Honoria City Council, and Malaita and Guadalcanal Provinces. Records of nine malaria indicators including report submission date, total malaria cases, Plasmodium falciparum case record, Plasmodium vivax case record, clinical malaria, malaria diagnosed with microscopy, malaria diagnosed with (rapid diagnostic test) (RDT), record of drug stocks and records of RDT stocks from 1st January to 31st December 2016 were extracted from the DHIS2 database. The indicators permitted assessment in four core areas: availability, completeness, timeliness and reliability. To explore perceptions and point of view of the stakeholders on the performance of the malaria case reporting system, focus group discussions were conducted with health centre nurses, whilst in-depth interviews were conducted with stakeholder representatives from government (province and national) staff and World Health Organization officials who were users of DHIS2. Results Data were extracted from nine health centres in Honoria City Council and 64 health centres in Malaita Province. The completeness and timeliness from the two provinces of all nine indicators were 28.2% and 5.1%, respectively. The most reliable indicator in DHIS2 was ‘clinical malaria’ (i.e. numbers of clinically diagnosed malaria cases) with 62.4% reliability. Challenges to completeness were a lack of supervision, limited feedback, high workload, and a lack of training and refresher courses. Health centres located in geographically remote areas, a lack of regular transport, high workload and too many variables in the reporting forms led to delays in timely reporting. Reliability of reports was impacted by a lack of technical professionals such as statisticians and unavailability of tally sheets and reporting forms. Conclusion The availability, completeness, timeliness and reliability of nine malaria indicators collected in DHIS2 were variable within the study area, but generally low. Continued onsite support, supervision, feedback and additional enhancements, such as electronic reporting will be required to further improve the malaria reporting system.

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“…The bene ts of using such technologies can be obtained at different levels of health systems. In health centres, they can help in reducing the workload, and improve data collection and reporting [41,42]. At the district, provincial and national level, they can enhance monitoring, supportive supervision and feedback [41].…”

Section: Discussionmentioning

confidence: 99%

“…However, uptake of technology-based recording and reporting is hampered by a lack of awareness and organizational support [34,43]. Other barriers include inadequate internet coverage [31,44], telecommunications network coverage [42] and electricity [45], limited budgets for system introduction, maintenance and repair of devices [46][47][48] and limited training of personnel in their use [49,50]. The expansion of computerised recording and reporting in Solomon Islands need to address these barriers for expanding it to the health centres.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the District Health Information System 2 supported malaria reporting system in Solomon Islands

Wangdi

Sarma

Leaburi³

et al. 2020

Preprint

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BackgroundDistrict Health Information Systems 2 (DHIS2) is used for supporting health information management in 67 countries, including Solomon Islands. However, there have been few published evaluations of the performance of DHIS2-enhanced disease reporting systems, in particular for monitoring infectious diseases such as malaria. The aim of this study was to evaluate DHIS2 supported malaria reporting in Solomon Islands and to develop recommendations for improving the system.MethodsThe evaluation was conducted in three administrative areas of Solomon Islands: Honoria City Council, and Malaita and Guadalcanal Provinces. Records of nine malaria indicators from 1st January to 31st December 2016 were extracted from the DHIS2 database. The indicators permitted assessment in four core areas: availability, completeness, timeliness and reliability. To obtain more detailed information on the performance of the malaria case reporting system, focus group discussions were conducted with health centre nurses, whilst in-depth interviews were conducted with stakeholder representatives from government (province and national) staff and WHO officials who were users of DHIS2. ResultsData were extracted from nine health centres in Honoria City Council and 64 health centres in Malaita Province. The completeness and timeliness from the two provinces of all nine indicators were 28.2% and 5.1% respectively. The most reliable indicator in DHIS2 was ‘clinical malaria’ (i.e. numbers of clinically diagnosed malaria cases) with 62.4% reliability. Challenges to completeness were a lack of supervision, limited feedback, high workload, and a lack of training and refresher courses. Health centres located in geographically remote areas, a lack of regular transport, high workload and too many variables in the reporting forms led to delays in timely reporting. Reliability of reports was impacted by a lack of technical professionals such as statisticians and unavailability of tally sheets and reporting forms. ConclusionThe availability, completeness, timeliness and reliability of nine malaria indicators collected in DHIS2 were variable within the study area, but generally low. Continued onsite support, supervision, feedback and additional enhancements such as electronic reporting will be required to further improve the malaria reporting system.

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Evaluating a 24-h mobile reporting system for malaria notifications in comparison with a paper-based system in South Africa, 2015

Cited by 12 publications

References 11 publications

Challenges in early phase of implementing the 1-3-7 surveillance and response approach in malaria elimination setting: A field study from Myanmar

Challenges in early phase of implementing the 1-3-7 surveillance and response approach in malaria elimination setting: A field study from Myanmar

Evaluation of the malaria reporting system supported by the District Health Information System 2 in Solomon Islands

Evaluation of the District Health Information System 2 supported malaria reporting system in Solomon Islands

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