Evidence map›Paper›PMID 42179871›Full record

ArticleInternational journal of integrated care

Using Personas as a Tool for People-Centred Segmentation and Health Systems Planning in Ontario, Canada.

Casey Chu, Kerry Kuluski, Arija Birze, Junhee Baek, Louis Wong, Catherine Donnelly, Brianne Wood, Jessica Logozzo, Laura Rosella

Abstract readCase Reports
In one paragraph

Article in International journal of integrated care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Casey ChuInstitute for Better Health, Trillium Health Partners, Mississauga, Ontario, Canada.ORCID https://orcid.org/0000-0001-8942-3939
Kerry KuluskiInstitute for Better Health, Trillium Health Partners, Mississauga, Ontario, Canada.ORCID https://orcid.org/0000-0002-6377-6653
Arija BirzeInstitute for Better Health, Trillium Health Partners, Mississauga, Ontario, Canada.ORCID https://orcid.org/0000-0002-1988-8383
Junhee BaekInstitute for Better Health, Trillium Health Partners, Mississauga, Ontario, Canada.ORCID https://orcid.org/0009-0009-0286-3903
Louis WongDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Catherine DonnellyHealth Services and Policy Research Institute, Queens University, Kingston, Ontario, Canada.ORCID https://orcid.org/0000-0002-0809-3059
Brianne WoodDr. Gilles Arcand Centre for Health Equity, NOSM University Thunder Bay, Ontario, Canada.ORCID https://orcid.org/0000-0001-9958-4824
Jessica LogozzoThunder Bay Regional Health Sciences Centre and Northwestern Ontario Hospitals, Thunder Bay, Ontario.
Laura RosellaInstitute for Better Health, Trillium Health Partners, Mississauga, Ontario, Canada.ORCID https://orcid.org/0000-0003-4867-869X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Health systems are increasingly using population segmentation for planning to organise populations into segments with similar health characteristics. However, given that these data-driven approaches rely on available data, they fail to encompass important social determinants of health, thereby making decision-making challenging. Segmentation is powerful, but little is known about how missing information could be incorporated to more accurately characterise segments. Description: We demonstrate a process that uses personas [i.e., fictional stories] to apply the outputs of population segmentation in Ontario, Canada. First, we created personas using available data to represent individuals in a population segment. Second, we conducted focus groups with service users, caregivers, and providers to understand what information was missing from the persona. We conducted two iterative rounds of focus groups with 27 participants to test and assess this process on the frailty population segment. Results: Findings revealed the preferred design and types of information to present in a persona to represent individuals from a segment. Participants also identified what information was pertinent or missing to better understand the frailty population segment in Ontario. Conclusion: Personas can be useful for health system planners as a mechanism to incorporate community perspectives to enhance data-driven segments for planning.

Indexed as

community engagementpersonaspopulation health managementpopulation segmentationqualitative methods

Identifiers

PMID42179871
PMCPMC13196677

What OpenQuestion holds

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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.