Evidence map›Paper›PMID 31888666›Full record

ArticleHealth research policy and systems2019

Optimisation: defining and exploring a concept to enhance the impact of public health initiatives.

Luke Wolfenden, Katarzyna Bolsewicz, Alice Grady, Sam McCrabb, Melanie Kingsland, John Wiggers, Adrian Bauman, Rebecca Wyse, Nicole Nathan, Rachel Sutherland and 19 more

Abstract read
In one paragraph

Article in Health research policy and systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
–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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  10. Towards Establishing Shared Terminology for Person-Centred Care: A Modified Delphi Study With Consumers and Health Professionals.Health expectations : an international journal of public participation in health care and health policy · 2026
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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

29 authors.

Luke WolfendenHunter New England Local Health District, Wallsend, NSW, Australia.
Katarzyna BolsewiczHunter New England Local Health District, Wallsend, NSW, Australia. katarzyna.bolsewicz@health.nsw.gov.au.ORCID http://orcid.org/0000-0002-6495-6912
Alice GradyHunter New England Local Health District, Wallsend, NSW, Australia.
Sam McCrabbHunter New England Local Health District, Wallsend, NSW, Australia.
Melanie KingslandHunter New England Local Health District, Wallsend, NSW, Australia.
John WiggersHunter New England Local Health District, Wallsend, NSW, Australia.
Adrian BaumanFaculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia.
Rebecca WyseHunter New England Local Health District, Wallsend, NSW, Australia.
Nicole NathanHunter New England Local Health District, Wallsend, NSW, Australia.
Rachel SutherlandHunter New England Local Health District, Wallsend, NSW, Australia.
Rebecca Kate HodderHunter New England Local Health District, Wallsend, NSW, Australia.
Maria FernandezCentre for Health Promotion and Prevention Research, School of Public Health, University of Texas Health Science Centre, Houston, TX, United States of America.
Cara LewisKaiser Permanent Washington Health Research Institute, Seattle, WA, United States of America.
Natalie TaylorFaculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia.
Heather McKayCentre for Hip Health and Mobility, Robert H N Ho Research Centre, University of British Columbia, Vancouver, BC, Canada.
Jeremy GrimshawOttawa Hospital Research Institute, Ottawa, ON, Canada.
Alix HallHunter Medical Research Institute, Newcastle, NSW, Australia.
Joanna MoullinFaculty of Health Sciences, School of Pharmacy and Biomedical Sciences, Curtin University, Perth, WA, Australia.
Bianca AlbersEuropean Implementation Collaborative, Sydney, Australia.
Samantha BatchelorCentral Coast Local Health District, Gosford, NSW, Australia.
John AttiaSchool of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia.
Andrew MilatNSW Ministry of Health, North Sydney, NSW, Australia.
Andrew BaileyMid North Coast Local Health District, Port Macquarie, NSW, Australia.
Chris RisselFaculty of Medicine and Health, University of Sydney, Camperdown, NSW, Australia.
Penny ReevesSchool of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia.
Joanie Sims-GouldCentre for Hip Health and Mobility, Robert H N Ho Research Centre, University of British Columbia, Vancouver, BC, Canada.
Robyn MildonCentre for Evidence and Implementation, Carlton, VIC, Australia.
Chris DoranCentral Queensland University, North Rockhampton, QLD, Australia.
Sze Lin YoongHunter New England Local Health District, Wallsend, NSW, Australia.

Funding

Convalescent Plasma to Limit Coronavirus Associated ComplicationsUL1TR003167 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KARP, DANIEL D, MCPHERSON, DAVID D · 2019 to 2023
$45.3M
Increasing Reach and Implementation of Evidence Based Programs for Cancer ControlR01CA163526 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FERNANDEZ, MARIA EULALIA, MULLEN, PATRICIA DOLAN · 2012 to 2016
$2.9M
NCATS NIH HHS UL1 TR003167NCI NIH HHS R01 CA163526
6 · The paper itself

Abstract

backgroundRepeated, data-driven optimisation processes have been applied in many fields to rapidly transform the performance of products, processes and interventions. While such processes may similarly be employed to enhance the impact of public health initiatives, optimisation has not been defined in the context of public health and there has been little exploration of its key concepts.

methodsWe used a modified, three-round Delphi study with an international group of researchers, public health policy-makers and practitioners to (1) generate a consensus-based definition of optimisation in the context of public health and (2i) describe key considerations for optimisation in that context. A pre-workshop literature review and elicitation of participant views regarding optimisation in public health (round 1) were followed by a daylong workshop and facilitated face-to-face group discussions to refine the definition and generate key considerations (round 2); finally, post-workshop discussions were undertaken to refine and finalise the findings (round 3). A thematic analysis was performed at each round. Study findings reflect an iterative consultation process with study participants.

resultsThirty of 33 invited individuals (91%) participated in the study. Participants reached consensus on the following definition of optimisation in public health: "A deliberate, iterative and data-driven process to improve a health intervention and/or its implementation to meet stakeholder-defined public health impacts within resource constraints". A range of optimisation considerations were explored. Optimisation was considered most suitable when existing public health initiatives are not sufficiently effective, meaningful improvements from an optimisation process are anticipated, quality data to assess impacts are routinely available, and there are stable and ongoing resources to support it. Participants believed optimisation could be applied to improve the impacts of an intervention, an implementation strategy or both, on outcomes valued by stakeholders or end users. While optimisation processes were thought to be facilitated by an understanding of the mechanisms of an intervention or implementation strategy, no agreement was reached regarding the best approach to inform decisions about modifications to improve impact.

conclusionsThe study findings provide a strong basis for future research to explore the potential impact of optimisation in the field of public health.

Indexed as

ConsensusEfficiency, OrganizationalHealth PromotionPublic HealthAdministrative PersonnelDelphi TechniqueFemaleHealth PolicyHumansInternationalityMaleProspective StudiesQualitative Researchadaptationconsensus processDelphi studyevidence-based practiceimpactimplementationinterventionOptimisationpublic healthqualitative

Identifiers

PMID31888666
PMCPMC6937822

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.