Evidence map›Paper›PMID 28209143›Full record

ArticleBMC health services research2017

Collaborative leadership and the implementation of community-based fall prevention initiatives: a multiple case study of public health practice within community groups.

Maureen Markle-Reid, Cathy Dykeman, Jenny Ploeg, Caralyn Kelly Stradiotto, Angela Andrews, Susan Bonomo, Sarah Orr-Shaw, Niyati Salker

Abstract readMulticenter Study
In one paragraph

Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Trial
  4. Support for Older People With Vision Impairment: A Rapid Realist Review.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 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

8 authors.

Maureen Markle-ReidSchool of Nursing, McMaster University, Hamilton, ON, L8S 4K1, Canada. mreid@mcmaster.ca.
Cathy DykemanHalton Region Health Department, Oakville, ON, L6M 3L1, Canada.
Jenny PloegSchool of Nursing, McMaster University, Hamilton, ON, L8S 4K1, Canada.
Caralyn Kelly StradiottoSchool of Nursing, McMaster University, Hamilton, ON, L8S 4K1, Canada.
Angela AndrewsHaliburton, Kawartha, Pine Ridge District Health Unit, Haliburton, ON, K0M 1S0, Canada.
Susan BonomoYork Region Public Health, Vaughan, ON, L4K 0G5, Canada.
Sarah Orr-ShawSimcoe Muskoka District Health Unit, Barrie, ON, L4M 6K9, Canada.
Niyati SalkerBrant County Health Unit, Brantford, ON, N3R 1G7, Canada.

Funding

CIHR
6 · The paper itself

Abstract

backgroundFalls among community-dwelling older adults are a serious public health concern. While evidence-based fall prevention strategies are available, their effective implementation requires broad cross-sector coordination that is beyond the capacity of any single institution or organization. Community groups comprised of diverse stakeholders that include public health, care providers from the public and private sectors and citizen volunteers are working to deliver locally-based fall prevention. These groups are examples of collective impact and are important venues for public health professionals (PHPs) to deliver their mandate to work collaboratively towards achieving improved health outcomes. This study explores the process of community-based group work directed towards fall prevention, and it focuses particular attention on the collaborative leadership practices of PHPs, in order to advance understanding of the competencies required for collective impact.

methodsFour community groups, located in Ontario, Canada, were studied using an exploratory, retrospective, multiple case study design. The criteria for inclusion were presence of a PHP, a diverse membership and the completion of an initiative that fit within the scope of the World Health Organization Fall Prevention Model. Data were collected using interviews (n = 26), focus groups (n = 4), and documents. Cross-case synthesis was conducted by a collaborative team of researchers.

resultsThe community groups differed by membership, the role of the PHP and the type of fall prevention initiatives. Seven practice themes emerged: (1) tailoring to address context; (2) making connections; (3) enabling communication; (4) shaping a vision; (5) skill-building to mobilize and take action; (6) orchestrating people and projects; and (7) contributing information and experience. The value of recognized leadership competencies was underscored and the vital role of institutional supports was highlighted.

conclusionTo align stakeholders working towards fall prevention for community-dwelling older adults and establish a foundation for collective impact, public health professionals employed practices that reflected a collaborative leadership style. Looking ahead, public health professionals will want to shift their focus to evaluating the effectiveness of their group work within communities. They will also need to assess outcomes and evaluate whether the anticipated reductions in fall rates among community-dwelling older adults is being achieved.

Indexed as

LeadershipPublic Health PracticeAccidental FallsAdultClinical CompetenceCommunity Health ServicesCooperative BehaviorFocus GroupsHumansInterprofessional RelationsOntarioPrivate SectorPublic HealthPublic SectorResearch DesignRetrospective StudiesCase studyCollaborative leadershipCollective impactFall preventionOlder adultsPublic healthQualitative

Identifiers

PMID28209143
PMCPMC5314627

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.