Evidence map›Paper›PMID 38440308›Full record

ArticleAfrican journal of laboratory medicine2015

Informatics solutions for bridging the gap between clinical and laboratory services in a low-resource setting.

Julia Driessen, Henry Limula, Oliver J Gadabu, Gervase Gamadzi, Edwin Chitandale, Anne Ben-Smith, Noor Alide, Gerald P Douglas

Abstract read
In one paragraph

Article in African journal of laboratory medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Assessing Perceived Challenges to Laboratory Testing at a Malawian Referral Hospital.The American journal of tropical medicine and hygiene · 2016
    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

8 authors.

Julia DriessenDepartment of Health Policy and Management, University of Pittsburgh, Pittsburgh, United States.
Henry LimulaKamuzu Central Hospital, Ministry of Health, Lilongwe, Malawi.
Oliver J GadabuBaobab Health Trust, Lilongwe, Malawi.
Gervase GamadziKamuzu Central Hospital, Ministry of Health, Lilongwe, Malawi.
Edwin ChitandaleKamuzu Central Hospital, Ministry of Health, Lilongwe, Malawi.
Anne Ben-SmithDepartment of Biomedical Informatics, University of Pittsburgh, United States.
Noor AlideKamuzu Central Hospital, Ministry of Health, Lilongwe, Malawi.
Gerald P DouglasCenter for Health Informatics for the Underserved, University of Pittsburgh, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There has been little formal analysis of laboratory systems in resource-limited settings, despite widespread consensus around the importance of a strong laboratory infrastructure. Objectives: This study details the informational challenges faced by the laboratory at Kamuzu Central Hospital, a tertiary health facility in Malawi; and proposes ways in which informatics can bolster the efficiency and role of low-resource laboratory systems. Methods: We evaluated previously-collected data on three different aspects of laboratory use. A four-week quality audit of laboratory test orders quantified challenges associated with collecting viable specimens for testing. Data on tests run by the laboratory over a one-year period described the magnitude of the demand for laboratory services. Descriptive information about the laboratory workflow identified informational process breakdowns in the pre-analytical and post-analytical phases and was paired with a 24-hour sample of laboratory data on results reporting. Results: The laboratory conducted 242 242 tests over a 12-month period. The four-week quality audit identified 54% of samples as untestable. Prohibitive paperwork errors were identified in 16% of samples. Laboratory service workflows indicated a potential process breakdown in sample transport and results reporting resulting from the lack of assignment of these tasks to any specific employee cadre. The study of result reporting time showed a mean of almost six hours, with significant variation. Conclusions: This analysis identified challenges in each phase of laboratory testing. Informatics could improve the management of this information by streamlining test ordering and the communication of test orders to the laboratory and results back to the ordering physician.

Identifiers

PMID38440308
PMCPMC10911650

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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.