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“One program that could improve health in this neighbourhood is ____?” using concept mapping to engage communities as part of a health and human services needs assessment

Overview of attention for article published in BMC Health Services Research, March 2018
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124 Mendeley
Title
“One program that could improve health in this neighbourhood is ____?” using concept mapping to engage communities as part of a health and human services needs assessment
Published in
BMC Health Services Research, March 2018
DOI 10.1186/s12913-018-2936-x
Pubmed ID
Authors

Alisa J. Velonis, Agnes Molnar, Nakia Lee-Foon, Ashnoor Rahim, Mary Boushel, Patricia O’Campo

Abstract

This paper presents the findings of a rapid needs assessment conducted at the request of the local health authority responsible for health care services, the Toronto Central Local Health Integration Network (Ontario, Canada), to inform health and social service planning. We utilized concept mapping methodology to facilitate engagement with diverse stakeholders-more than 300 community members and service providers-with a focus on hard to reach populations. Key informant interviews with service providers were used to augment findings. Participants identified 48 unique services or service approaches they believed would improve the health of residents in the area, including those addressing health care, mental health and addictions, youth, families, people experiencing homelessness, seniors, general social services, and services targeting specific populations. While service providers consistently identified a critical need for mental health and addiction services, community members placed greater importance on the social determinants of health including access to housing, job placement supports and training and service accessibility. Both groups agreed that services and programs for seniors and people experiencing homelessness would be highly important. Our study provides a unique example of using concept mapping as a tool to aid a rapid service gap analysis and community engagement in a metropolitan area. The findings also reinforce the importance of working cross-sectorally, using a Health in All Policies approach when planning services for underserved populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 124 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 19%
Researcher 12 10%
Student > Ph. D. Student 11 9%
Student > Bachelor 11 9%
Librarian 6 5%
Other 22 18%
Unknown 39 31%
Readers by discipline Count As %
Nursing and Health Professions 17 14%
Medicine and Dentistry 17 14%
Social Sciences 14 11%
Psychology 12 10%
Agricultural and Biological Sciences 3 2%
Other 13 10%
Unknown 48 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 April 2018.
All research outputs
#13,900,608
of 23,041,514 outputs
Outputs from BMC Health Services Research
#4,874
of 7,715 outputs
Outputs of similar age
#177,959
of 331,169 outputs
Outputs of similar age from BMC Health Services Research
#158
of 224 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,715 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 331,169 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 224 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.