Evidence map›Paper›PMID 28361049›Full record

ArticleFrontiers in public health2017

Programs and Place: Risk and Asset Mapping for Fall Prevention.

Matthew Lee Smith, Samuel D Towne, Audry S Motlagh, Donald R Smith, Ali Boolani, Scott A Horel, Marcia G Ory

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 24% of its field
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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
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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

7 authors at 6 institutions in 1 country.

Matthew Lee SmithDepartment of Health Promotion and Behavior, College of Public Health, Institute of Gerontology, The University of Georgia, Athens, GA, USA; Department of Health Promotion and Community Health Sciences, School of Public Health, Texas A&M University, College Station, TX, USA.
Samuel D TowneDepartment of Health Promotion and Community Health Sciences, School of Public Health, Texas A&M University , College Station, TX , USA.
Audry S MotlaghJohns Hopkins Bayview Medical Center, Community Psychiatry Program , Baltimore, MD , USA.
Donald R SmithUnited Way of Tarrant County , Fort Worth, TX , USA.
Ali BoolaniClarkson University , Potsdam, NY , USA.
Scott A HorelDepartment of Health Promotion and Community Health Sciences, School of Public Health, Texas A&M University , College Station, TX , USA.
Marcia G OryDepartment of Health Promotion and Community Health Sciences, School of Public Health, Texas A&M University , College Station, TX , USA.
Texas A&M Health Science Center · USClarkson University · USJohns Hopkins University · USTarrant County College · USTexas A&M University · USUniversity of Georgia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying ways to measure access, availability, and utilization of health-care services, relative to at-risk areas or populations, is critical in providing practical and actionable information to key stakeholders. This study identified the prevalence and geospatial distribution of fall-related emergency medical services (EMS) calls in relation to the delivery of an evidence-based fall prevention program in Tarrant County, Texas over a 3-year time period. It aims to educate public health professionals and EMS first respondents about the application of geographic information system programs to identify risk-related "hot spots," service gaps, and community assets to reduce falls among older adults. On average, 96.09 (±108.65) calls were received per ZIP Code (ranging from 0 calls to 386 calls). On average, EMS calls per ZIP Code increased from 30.80 (±34.70) calls in 2009 to 33.75 (±39.58) calls in 2011, which indicate a modest annual call increase over the 3-year study period. The percent of ZIP Codes offering A Matter of Balance/Volunteer Lay Leader Model (AMOB/VLL) workshops increased from 27.3% in 2009 to 34.5% in 2011. On average, AMOB/VLL workshops were offered in ZIP Codes with more fall-related EMS calls over the 3-year study period. Findings suggest that the study community was providing evidence-based fall prevention programming (AMOB/VLL workshops) in higher-risk areas. Opportunities for strategic service expansion were revealed through the identification of fall-related hot spots and asset mapping.

Indexed as

asset mappingfall preventionolder adultsrisk assessmentstrategic planning

Identifiers

PMID28361049
PMCPMC5352653
OpenAlexW2594637922

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.