Evidence map›Paper›PMID 33566710›Full record

ArticleHospital practice (1995)2021

Development of a web-based application to improve data collection of antimicrobial utilization in the public health care system in South Africa.

D Kruger, N N Dlamini, J C Meyer, B Godman, A Kurdi, M Lennon, M Bennie, N Schellack

Open access · hybridAbstract read
In one paragraph

Article in Hospital practice (1995), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Scoping review of health information technology usability methods leveraged in Africa.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
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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

8 authors at 4 institutions in 4 countries.

D KrugerSchool of Pharmacy, Sefako Makgatho Health Sciences University, Pretoria, South Africa.
N N DlaminiSchool of Pharmacy, Sefako Makgatho Health Sciences University, Pretoria, South Africa.
J C MeyerSchool of Pharmacy, Sefako Makgatho Health Sciences University, Pretoria, South Africa.ORCID https://orcid.org/0000-0003-0462-5713
B GodmanSchool of Pharmacy, Sefako Makgatho Health Sciences University, Pretoria, South Africa.
A KurdiDepartment of Pharmacoepidemiology, Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK.ORCID https://orcid.org/0000-0001-5036-1988
M LennonComputer and Information Sciences, University of Strathclyde, Glasgow, UK.
M BennieDepartment of Pharmacoepidemiology, Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK.ORCID https://orcid.org/0000-0002-4046-629X
N SchellackSchool of Pharmacy, Sefako Makgatho Health Sciences University, Pretoria, South Africa.ORCID https://orcid.org/0000-0001-9690-6285
Sefako Makgatho Health Sciences University · ZAUniversity of Strathclyde · GBHawler Medical University · IQUniversiti Sains Malaysia · MY

Funding

Medical Research Council MC_PC_16090
6 · The paper itself

Abstract

objectiveDetermining antimicrobial utilization patterns in hospitals can be a challenge given personnel and resource constraints with paper-based systems. A web-based application (APP) was developed in South Africa to address this, building on a recent point prevalence survey (PPS) using a paper-based system. Consequently, there was a need to test and evaluate the ease of use of a newly developed app and potential time saving versus paper-based methods for PPS. The findings can be used to further refine the APP.

methodsThe developed app was tested in a large academic public hospital in a PPS in South Africa. During data collection, the app was evaluated for functionality on 35 variables and subsequently refined. After data collection, the app was evaluated in terms of its time-saving potential and ease of use.

results181 patient's files were surveyed across 13 wards in the hospital, with the antimicrobial usage findings similar to the previous paper-based study in the same hospital. The median age for males was 45.5 years and 42 years for females. Overall 80 out of 181 (44%) patients received antibiotics. Whilst 38% (12 out of 31) of patients in the adult surgical ward received antimicrobials, the prevalence was the highest (78%) in the pediatric medical wards. All the data collectors were confident in using the app after training and found the tool is not complex at all to use. In addition, the time taken to plan for the study and to collect data was considerably reduced. Reduced time spent in data collection and analysis is important for timely instigation of quality improvement programs in resource limited settings.

conclusionsAll data collectors would recommend the app for future PPSs. Several concerns with data entry were identified, which have now been addressed. The app development has been successful and is now being deployed across South Africa as part of a national PPS as well as wider.

Indexed as

AdultAnti-Bacterial AgentsAnti-Infective AgentsDrug PrescriptionsDrug UtilizationElectronic Data ProcessingFemaleHospitals, PublicHumansMaleMiddle AgedPractice Patterns, Physicians'Quality ImprovementSouth AfricaAnti-Bacterial AgentsAnti-Infective AgentsantimicrobialsappmHealthPoint prevalence surveySouth Africa

Identifiers

PMID33566710
PMCPMC8315208
OpenAlexW3127316237

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.