Evidence map›Paper›PMID 32532242›Full record

ArticleBMC public health2020

Can an electronic monitoring system capture implementation of health promotion programs? A focussed ethnographic exploration of the story behind program monitoring data.

Kathleen Conte, Leah Marks, Victoria Loblay, Sisse Grøn, Amanda Green, Christine Innes-Hughes, Andrew Milat, Lina Persson, Mandy Williams, Sarah Thackway and 2 more

Abstract read
In one paragraph

Article in BMC public health, 2020. 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. Tensions and Paradoxes of Scaling Up: A Critical Reflection on Physical Activity Promotion.International journal of environmental research and public health · 2022
    Article
  2. Article
  3. 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.

Kathleen ConteThe Australian Prevention Partnership Centre, Ultimo, Australia. Kathleen.conte@sydney.edu.au.
Leah MarksThe Australian Prevention Partnership Centre, Ultimo, Australia.
Victoria LoblayThe Australian Prevention Partnership Centre, Ultimo, Australia.
Sisse GrønThe Australian Prevention Partnership Centre, Ultimo, Australia.
Amanda GreenOffice of Preventive Health, Sydney, Australia.
Christine Innes-HughesOffice of Preventive Health, Sydney, Australia.
Andrew MilatCentre for Epidemiology and Evidence, New South Wales Ministry of Health, Sydney, Australia.
Lina PerssonCentre for Epidemiology and Evidence, New South Wales Ministry of Health, Sydney, Australia.
Mandy WilliamsHealth Promotion Service, South Western Sydney Local Health District, Liverpool, Australia.
Sarah ThackwayCentre for Epidemiology and Evidence, New South Wales Ministry of Health, Sydney, Australia.
Jo MitchellCentre for Population Health, New South Wales Ministry of Health, Sydney, Australia.
Penelope HaweThe Australian Prevention Partnership Centre, Ultimo, Australia.

Funding

National Health and Medical Research Council Gnt9100001
6 · The paper itself

Abstract

backgroundThere is a pressing need for policy makers to demonstrate progress made on investments in prevention, but few examples of monitoring systems capable of tracking population-level prevention policies and programs and their implementation. In New South Wales, Australia, the scale up of childhood obesity prevention programs to over 6000 childcare centres and primary schools is monitored via an electronic monitoring system, "PHIMS".

methodsVia a focussed ethnography with all 14 health promotion implementation teams in the state, we set out to explore what aspects of program implementation are captured via PHIMS, what aspects are not, and the implications for future IT implementation monitoring systems as a result.

resultsPractitioners perform a range of activities in the context of delivering obesity prevention programs, but only specific activities are captured via PHIMS. PHIMS thereby defines and standardises certain activities, while non-captured activities can be considered as "extra" work by practitioners. The achievement of implementation targets is influenced by multi-level contextual factors, with only some of the factors accounted for in PHIMS. This evidences incongruencies between work done, recorded and, therefore, recognised.

conclusionsWhile monitoring systems cannot and should not capture every aspect of implementation, better accounting for aspects of context and "extra" work involved in program implementation could help illuminate why implementation succeeds or fails. Failure to do so may result in policy makers drawing false conclusions about what is required to achieve implementation targets. Practitioners, as experts of context, are well placed to assist policy makers to develop accurate and meaningful implementation targets and approaches to monitoring.

Indexed as

Electronics, MedicalHealth Plan ImplementationHealth PromotionAnthropology, CulturalChildHumansNew South WalesPediatric ObesityPolicy MakingSchoolsEthnographyHealth managementHealth policyHealth promotionImplementation scienceObesityPerformance monitoringPreventionScale up

Identifiers

PMID32532242
PMCPMC7291504

What OpenQuestion holds

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LicenceCC BY
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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.