Evidence map›Paper›PMID 32310983›Full record

ArticlePloS one2020

Quality of malaria data in public health facilities in three provinces of Mozambique.

James M Colborn, Rose Zulliger, Mariana Da Silva, Guidion Mathe, Ana Rita Chico, Ana Christina Castel-Branco, Frederico Brito, Marcel Andela, Gabriel Ponce de Leon, Abuchahama Saifodine and 2 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

12 authors.

James M ColbornClinton Health Access Initiative, Maputo, Mozambique.ORCID 0000-0002-2214-8984
Rose ZulligerUnited States President's Malaria Initiative, United States Centers for Disease Control and Prevention, Maputo, Mozambique.
Mariana Da SilvaNational Malaria Control Program, Ministry of Health, Maputo, Mozambique.
Guidion MatheNational Malaria Control Program, Ministry of Health, Maputo, Mozambique.
Ana Rita ChicoClinton Health Access Initiative, Maputo, Mozambique.
Ana Christina Castel-BrancoClinton Health Access Initiative, Maputo, Mozambique.
Frederico BritoUNICEF, Maputo, Mozambique.
Marcel AndelaClinton Health Access Initiative, Maputo, Mozambique.
Gabriel Ponce de LeonMalaria Branch and United States President's Malaria Initiative, United States Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Abuchahama SaifodineUnited States President's Malaria Initiative, United States Agency for International Development, Maputo, Mozambique.
Baltazar CandrinhoNational Malaria Control Program, Ministry of Health, Maputo, Mozambique.
Mateusz M PlucinskiMalaria Branch and United States President's Malaria Initiative, United States Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria data reported through Mozambique's routine health information system are used to guide the implementation of prevention and control activities. Although previous studies have identified issues with the quality of aggregated data reported from public health facilities in the country, no studies have evaluated the quality of routine indicators recorded in health facility registries. This study addresses this issue by comparing indicators calculated from data from exit interviews and re-examinations of patients with data based on registry records from health facilities in order to measure the quality of registry data and data reporting in three provinces in Mozambique.

methodsData were collected from 1,840 outpatients from 117 health facilities in Maputo, Zambézia, and Cabo Delgado Provinces interviewed and examined as part of a malaria-specific health facility survey. Key indicators based on exit interview / re-examination data were compared to the same indicators based on records from health facility registries. Multivariable regression was performed to identify factors associated with indicators matching in re-examination / exit interview data and health facility registries. Aggregated indicators abstracted from facility registries were compared to those reported through the routine health management information system (HMIS) for the same time period.

resultsSensitivity of exit interview / re-examination data compared with those recorded in facility registries was low for all indicators in all facilities. The lowest sensitivities were in Maputo, where the sensitivity for recording negative RDT results was 9.7%. The highest sensitivity was for recording positive RDT results in Cabo Delgado, at 75%. Multivariable analysis of factors associated with agreement between gold standard and registry data showed patients were less likely to be asked about having a fever in the triage ward in Maputo and Cabo Delgado (adjusted Odds Ratio 0.75 and 0.39 respectively), and in the outpatient ward in Cabo Delgado (aOR = 0.37), compared with the emergency department. Patients with positive RDT were also more likely to have RDT results recorded in all three provinces when patients had been managed according to national treatment guidelines during initial examination. Comparison of retrospective data abstracted from facility registries to HMIS data showed discrepancies in all three provinces. The proportion of outpatient cases with suspected and confirmed malaria were similar in registry and HMIS data across all provinces (a relatively low difference between registry and HMIS data of 3% in Maputo and Zambézia), though the total number of all-cause outpatient cases was consistently higher in the HMIS. The largest difference was in Maputo, where a total of 87,992 all-cause outpatient cases were reported in HMIS, compared with a total of 42,431 abstracted from facility registries.

conclusionThis study shows that care should be taken in interpreting trends based solely on routine data due to data quality issues, though the discrepancy in all-cause outpatient cases may be indicative that register availability and storage are important factors. As such, simple steps such as providing consistent access and storage of registers that include reporting of patient fever symptoms might improve the quality of routine data recorded at health facilities.

Indexed as

Cross-Sectional StudiesData CollectionDiagnostic Tests, RoutineFeverHealth FacilitiesHealth PersonnelHumansImmunoassayInterviews as TopicMalariaMozambiquePlasmodium falciparumProtozoan ProteinsRegistriesRetrospective StudiesProtozoan Proteins

Identifiers

PMID32310983
PMCPMC7170236

What OpenQuestion holds

Textmetadata
LicenceCC0
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.