Evidence map›Paper›PMID 33042947›Full record

ArticleFrontiers in public health2020

From the Frontline: Strengthening Surveillance and Response Capacities of the Rural Workforce in the Asia-Pacific Region. How Can Grass-Roots Implementation Research Help?

Sarah Larkins, Karen Carlisle, Humpress Harrington, David MacLaren, Etivina Lovo, Relmah Harrington, Lucsendar Fernandes Alves, Eric Rafai, Mere Delai, Maxine Whittaker

Abstract read
In one paragraph

Article in Frontiers in public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

10 authors.

Sarah LarkinsAnton Breinl Research Centre for Health Systems Strengthening, James Cook University, Townsville, QLD, Australia.
Karen CarlisleAnton Breinl Research Centre for Health Systems Strengthening, James Cook University, Townsville, QLD, Australia.
Humpress HarringtonAnton Breinl Research Centre for Health Systems Strengthening, James Cook University, Townsville, QLD, Australia.
David MacLarenAnton Breinl Research Centre for Health Systems Strengthening, James Cook University, Townsville, QLD, Australia.
Etivina LovoAnton Breinl Research Centre for Health Systems Strengthening, James Cook University, Townsville, QLD, Australia.
Relmah HarringtonAnton Breinl Research Centre for Health Systems Strengthening, James Cook University, Townsville, QLD, Australia.
Lucsendar Fernandes AlvesMenzies School of Health Research, Darwin, NT, Australia.
Eric RafaiMinistry of Health and Medical Services, Suva, Fiji.
Mere DelaiMinistry of Health and Medical Services, Suva, Fiji.
Maxine WhittakerAnton Breinl Research Centre for Health Systems Strengthening, James Cook University, Townsville, QLD, Australia.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Health systems in the Asia-Pacific region are poorly prepared for pandemic threats, particularly in rural/provincial areas. Yet future emerging infectious diseases are highly likely to emerge in these rural/provincial areas, due to high levels of contact between animals and humans (domestically and through agricultural activities), over-stretched and under-resourced health systems, notably within the health workforce, and a diverse array of socio-cultural determinants of health. In order to optimally implement health security measures at the frontline of health services where the people are served, it is vital to build capacity at the local district and facility level to adapt national and global guidelines to local contexts, including health systems, and community and socio-cultural realities. During 2017/18 James Cook University (JCU) facilitated an implementation research training program (funded by Australian Department of Foreign Affairs and Trade) for rural/provincial and regional health and biosecurity workers and managers from Fiji, Indonesia, Papua New Guinea (PNG), Solomon Islands and Timor-Leste. This training was designed so frontline health workers could learn research in their workplace, with no funding other than workplace resources, on topics relevant to health security in their local setting. The program, based upon the WHO-TDR Structured Operational Research and Training IniTiative (SORT-IT) consists of three blocks of teaching and a small, workplace-based research project. Over 50 projects by health workers including surveillance staff, laboratory managers, disease control officers, and border security staff included: analysis and mapping of surveillance data, infection control, IHR readiness, prevention/response and outbreak investigation. Policy briefs written by participants have informed local, provincial and national health managers, policy makers and development partners and provided on-the-ground recommendations for improved practice and training. These policy briefs reflected the socio-cultural, health system and disease-specific realities of each context. The information in the policy briefs can be used collectively to assess and strengthen health workforce capacity in rural/provincial areas. The capacity to use robust but simple research tools for formative and evaluative purposes provides sustainable capacity in the health system, particularly the rural health workforce. This capacity improves responses to infectious diseases threats and builds resilience into fragile health systems.

Indexed as

WorkforceAsiaAustraliaFijiHumansIndonesiaMelanesiaPapua New GuineaTimor-LesteAsia Pacificcapacity strengtheningcommunicable diseasedisease outbreakimplementation researchsurveillance and responsetraining

Identifiers

PMID33042947
PMCPMC7524875

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.