Evidence map›Paper›PMID 34069934›Full record

ArticleHealthcare (Basel, Switzerland)2021

Benefits of Structured Engagement with Target Audiences of a Health Website: Study Design for a Multi-Case Study.

Jennifer Tieman, Virginia Lewis

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Jennifer TiemanCollege of Nursing and Health Sciences, Flinders University, Adelaide 5042, Australia.ORCID 0000-0002-2611-1900
Virginia LewisAustralian Institute for Primary Care and Ageing (AIPCA), La Trobe University, Melbourne 3083, Australia.ORCID 0000-0001-7802-625X

Funding

Department of Health, Australian Government 4-50XWX4V
6 · The paper itself

Abstract

Access to evidence and practice knowledge precedes use, but availability does not guarantee reach and uptake by intended audiences. The CareSearch project provides online palliative care evidence and information to support health and aged care professionals as well as patients, carers and families to make informed decisions about care at the end of life. Already established in the palliative care sector, CareSearch commenced planning to extend its reach, and ensure website use is maximised for different audiences. This paper reports on the development of the Engagement Framework which will be used to guide and deliver an Engagement Project which will actively seek feedback and insights from intended users in a structured process. The process for developing the Engagement Framework commenced with a literature review of approaches used in knowledge translation, implementation science, and social marketing. The Engagement Framework comprising eight steps was then developed. The Engagement Framework outlines the series of tasks to be undertaken by team members when working with three target groups (Aged Care; Allied Health; and Patients, Carers and Families). A process/formative evaluation collecting data using qualitative methods is also described for use in the subsequent Engagement Project. The evaluation will explore the experiences of project participants as well as staff implementing the engagement activities. The three target groups will enable a cross-case comparison of the strengths and weaknesses of the approach. Planning, implementing and evaluating engagement with intended audiences, offers one mechanism to identify ways to increase interaction and integration with knowledge users.

Indexed as

community engagementevaluation methodsknowledge translationonline health informationpalliative carewebsite review

Identifiers

PMID34069934
PMCPMC8157546

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.