Evidence map›Paper›PMID 38238062›Full record

ArticleBMJ open2024

How do field epidemiologists learn? A protocol for a qualitative inquiry into learning in field epidemiology training programmes.

Matthew Myers Griffith, Emma Field, Angela Song-En Huang, Tomoe Shimada, Munkhzul Battsend, Tambri Housen, Barbara Pamphilon, Martyn D Kirk

Abstract read
In one paragraph

Article in BMJ open, 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

8 authors.

Matthew Myers GriffithNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australian Capital Territory, Australia matthew.griffith@anu.edu.au.ORCID 0000-0002-4254-2196
Emma FieldNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australian Capital Territory, Australia.
Angela Song-En HuangTaiwan Field Epidemiology Training Program, Taiwan Centers for Disease Control, Taipei, Taiwan.
Tomoe ShimadaCenter for Field Epidemic Intelligence, Research and Professional Development, National Institute of Infectious Diseases, Chiyoda-ku, Japan.
Munkhzul BattsendMongolia Field Epidemiology Training Program, National Center for Communicable Diseases, Ulaanbaatar, Mongolia.
Tambri HousenSchool of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia.
Barbara PamphilonFaculty of Education, University of Canberra, Bruce, Australian Capital Territory, Australia.
Martyn D KirkNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australian Capital Territory, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCOVID-19 underscored the importance of field epidemiology training programmes (FETPs) as countries struggled with overwhelming demands. Experts are calling for more field epidemiologists with better training. Since 1951, FETPs have been building public health capacities across the globe, yet explorations of learning in these programmes are lacking. This qualitative study will (1) describe approaches to training field epidemiologists in FETP; (2) describe strategies for learning field epidemiology among FETP trainees and (3) explain the principles and practices aligning training approaches with learning strategies in FETP. METHODS AND ANALYSIS: The research design, implementation and interpretation are collaborative efforts with FETP trainers. Data collection will include interviews with FETP trainers and trainees and participant observations of FETP training and learning events in four FETP in the Western Pacific Region. Data analysis will occur in three phases: (1) we will use the constant comparison method of Charmaz's grounded theory during open coding to identify and prioritise categories and properties in the data; (2) during focused coding, we will use constant comparison and Polkinghorne's analysis of narratives, comparing stories of prioritised categories, to fill out properties of those categories and (3) we will use Polkinghorne's narrative analysis to construct narratives that reflect domains of interest, identifying correspondence among Carr and Kemmis's practices, understandings and situations to explain principles and processes of learning in FETP. ETHICS AND DISSEMINATION: We have obtained the required ethics approvals to conduct this research at The Australian National University (2021/771) and Taiwan's Ministry of Health and Welfare (112206). Data will not be available publicly, but anonymised findings will be shared with FETP for collaborative interpretation. Ultimately, findings and interpretations will appear in peer-reviewed journals and conferences.

Indexed as

EpidemiologistsPopulation SurveillanceAustraliaHumansPublic HealthQualitative ResearchEPIDEMIOLOGYMEDICAL EDUCATION & TRAININGPUBLIC HEALTH

Identifiers

PMID38238062
PMCPMC10806617

What OpenQuestion holds

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LicenceCC BY-NC
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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.