Evidence map›Paper›PMID 39740220›Full record

ArticleJMIR research protocols2024

Evaluation of the Development, Implementation, Maintenance, and Impact of 3 Digital Surveillance Tools Deployed in Malawi During the COVID-19 Pandemic: Protocol for a Modified Delphi Expert Consensus Study.

Alanna Denny, Isaach Ndemera, Kingston Chirwa, Joseph Tsung Shu Wu, Griphin Baxter Chirambo, Simeon Yosefe, Ben Chilima, Matthew Kagoli, Hsin-Yi Lee, Kwong Leung Joseph Yu and 1 more

Abstract readConsensus Statement
In one paragraph

Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Alanna DennyResearch Department, Luke International, Mzuzu, Malawi.ORCID 0000-0001-6776-0897
Isaach NdemeraResearch Department, Luke International, Mzuzu, Malawi.ORCID 0000-0003-4014-5637
Kingston ChirwaResearch Department, Mzuzu University, Mzuzu, Malawi.ORCID 0009-0002-5242-4166
Joseph Tsung Shu WuResearch Department, Luke International, Mzuzu, Malawi.ORCID 0000-0001-6155-9340
Griphin Baxter ChiramboNursing and Midwifery Department, Faculty of Health Sciences, Mzuzu University, Mzuzu, Malawi.ORCID 0000-0001-6067-1840
Simeon YosefeNational Statistics Office, Zomba, Malawi.ORCID 0009-0000-1105-4563
Ben ChilimaPublic Health Institute of Malawi, Lilongwe, Malawi.ORCID 0009-0003-1211-0768
Matthew KagoliPublic Health Institute of Malawi, Lilongwe, Malawi.ORCID 0000-0002-0529-3581
Hsin-Yi LeeResearch Department, Luke International, Nøtterøy, Norway.ORCID 0000-0001-6309-0953
Kwong Leung Joseph YuResearch Department, Luke International, Mzuzu, Malawi.ORCID 0009-0002-3418-3469
John O'DonoghueBusiness Information Systems, University College Cork, Cork, Ireland.ORCID 0000-0001-6056-8640

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has highlighted the importance of strengthening national monitoring systems to safeguard a globally connected society, especially those in low- and middle-income countries. Africa's rapid adoption of digital technological interventions created a new frontier of digital advancement during crises or pandemics. The use of digital tools for disease surveillance can assist with rapid outbreak identification and response, handling duties such as diagnosis, testing, contact tracing, and risk communication. Malawi was one of the first countries in the region to launch a government-led coordinated effort to harmonize and streamline the necessary COVID-19 digital health implementation through an integrated system architecture.

objectiveThe aim of this study is to seek expert consensus using the Delphi methodology to examine Malawi's COVID-19 digital surveillance response strategy and to assess the digital tools using the World Health Organization mHealth (mobile health) Assessment and Planning for Scale (MAPS) toolkit.

methodsThis protocol follows the Guidance on Conducting and REporting DElphi Studies. Participants must have first-hand experience on the design, implementation or maintenance with COVID-19 digital surveillance systems. There will be no restrictions on the level of expertise or years of experience. The panel will consist of approximately 40 participants. We will use a modified Delphi process whereby rounds 1 and 2 will be hosted online by Qualtrics and round 3 will encompass a face-to-face workshop held in Malawi. Consensus will be defined as ≥70% of participants strongly disagree, disagree, or somewhat disagree, or strongly agree, agree, or somewhat agree. During round 3, the face-to-face workshop, participants will be asked to complete, the MAPS toolkit assessment on the digital tool on which they are experts. The MAPS toolkit will enable the panel members to assess the digital tools from a sustainable perspective from six distinct, yet complementary axes: (1) groundwork, (2) partnerships, (3) financial health, (4) technology and architecture, (5) operations, and (6) monitoring and evaluation.

resultsThe ability of a country to collate, diagnose, monitor, and analyze data forms the cornerstone of an efficient surveillance system, allowing countries to plan and implement appropriate control actions. Malawi was one of the first countries in the African region to launch a government-led coordinated effort to harmonize and streamline the necessary COVID-19 digital health implementation through an integrated system architecture.

conclusionsWe anticipate findings from this Delphi study will provide insights into how and why Malawi was successful in deploying digital surveillance systems. In addition, findings should produce recommendations and guidance for the rapid development, implementation, maintenance, and impact of digital surveillance tools during a health crisis. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/58389.

Indexed as

ConsensusCOVID-19Delphi TechniquePandemicsHumansMalawiTelemedicineconsensusCOVID-19delphidelphi studydescriptive statisticsdevelopmentdigital healthepidemiologyexpertimpactimplementationmaintenanceMalawimHealthmobile healthprotocolpurposive samplingsurveillancesurvey

Identifiers

PMID39740220
PMCPMC11733520

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.