Evidence map›Paper›PMID 31818297›Full record

ArticleMalaria journal2019

Consultative meeting that examined alignment and discrepancies between health facility and household survey data in Malawi.

Katherine E Battle, Austin Gumbo, Gracious Hamuza, Collins Kwizombe, Akuzike Tauzi Banda, Steven Chipeta, Mphatso D Phiri, Blessings Kamanga, Jacob Kawonga, Taonga Mafuleka and 10 more

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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

20 authors at 9 institutions in 3 countries.

Katherine E BattleMalaria Atlas Project, Big Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK. katherine.battle@bdi.ox.ac.uk.ORCID http://orcid.org/0000-0003-2401-2615
Austin GumboNational Malaria Control Programme, Ministry of Health, Lilongwe, Malawi.
Gracious HamuzaNational Malaria Control Programme, Ministry of Health, Lilongwe, Malawi.
Collins KwizombeU.S. President's Malaria Initiative, United States Agency for International Development, Lilongwe, Malawi.
Akuzike Tauzi BandaNational Malaria Control Programme, Ministry of Health, Lilongwe, Malawi.
Steven ChipetaDistrict Health Officer, Dowa, Malawi.
Mphatso D PhiriMalawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi.
Blessings KamangaKuunika Project, Lilongwe, Malawi.
Jacob KawongaCentral Monitoring Evaluation Division, Lilongwe, Malawi.
Taonga MafulekaNational Malaria Control Programme, Ministry of Health, Lilongwe, Malawi.
Ashley MalpassU.S. President's Malaria Initiative, United States Agency for International Development, Lilongwe, Malawi.
Phinias MfuneDistrict Health Officer, Karonga, Malawi.
Mathews MhangoDistrict Health Officer, Ntchisi, Malawi.
Lumbani MunthaliDistrict Health Officer, Mzimba South, Malawi.
Godfrey SilungweNational Malaria Control Programme, Ministry of Health, Lilongwe, Malawi.
Memory SiwomboDistrict Health Officer, Phalombe, Malawi.
Haroon TwalibuKuunika Project, Lilongwe, Malawi.
Allison ZakaliyaOrganized Network of Services for Everyone's (ONSE) Health, Management Sciences for Health, Lilongwe, Malawi.
Michael KayangeNational Malaria Control Programme, Ministry of Health, Lilongwe, Malawi.
Cameron TaylorThe DHS Program, ICF, Rockville, USA. cameron.taylor@icf.com.
Ministry of Health · MWUnited States Agency for International Development · USICF International (United States) · USMalawi Epidemiology and Intervention Research Unit · MWManagement Sciences for Health · USMuseum of Malawi · MWPublic Health Institute of Malawi · MWUniversity of Liverpool · GBUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malawi is midway through its current Malaria Strategic Plan 2017-2022, which aims to reduce malaria incidence and deaths by at least 50% by 2022. Malariometric data are available with health surveillance data housed in District Health Information Software 2 (DHIS2) and household survey data from two recent Malaria Indicator Surveys (MIS) and a Demographic and Health Survey (DHS). Strengths and weaknesses of the data were discussed during a consultative meeting in Lilongwe, Malawi in July 2019. The first 3 days included in-depth exploration and analysis of surveillance and survey data by 13 participants from the National Malaria Control Programme, district health offices, and partner organizations. Key indicators derived from both DHIS2 and MIS/DHS sources were analysed with three case studies, and presented to stakeholders on the fourth day of the meeting. Applications of the findings to programmatic decision-making and strategic plan evaluation were critiqued and discussed.

Indexed as

Data AccuracyFamily CharacteristicsAdolescentAdultCase-Control StudiesChild, PreschoolCongresses as TopicConsultantsDemographyFemaleHealth FacilitiesHumansMalariaMalawiMiddle AgedPregnancyDHIS2Health Management Information SystemMalaria Indicator SurveyMalaria Strategic PlanMalawiThe DHS programWorkshop

Identifiers

PMID31818297
PMCPMC6902581
OpenAlexW2994426485

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.