Evidence map›Paper›PMID 23902663›Full record

ArticleBMC family practice2013

Addressing the deficiencies in the evidence-base for primary practice in regional Australia - sentinel practices data sourcing (SPDS) project: a pilot study.

Abhijeet Ghosh, Karen E Charlton, Lisa Girdo, Marijka J Batterham, Keith McDonald

Abstract read
In one paragraph

Article in BMC family practice, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Sentinel Networks for the Surveillance of Overweight and Obesity: A Scoping Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 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

5 authors.

Abhijeet GhoshGrand Pacific Health Ltd, trading as Illawarra-Shoalhaven Medicare Local (ISML), Wollongong, Australia. aghosh@isml.org.au
Karen E Charlton
Lisa Girdo
Marijka J Batterham
Keith McDonald

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic disease risk on a population level can be quantified through health surveys, either continuous or periodic. To date, information gathered from primary care interactions, using sentinel sites, has not been investigated as a potentially valuable surveillance system in Australia.

methodsA pilot study was conducted in a single General Practice in a regional area of New South Wales, Australia to assess the feasibility of accessing data obtained through a computerised chronic disease management program that has been designed for desktop application (Pen Computer Systems (PCS) Clinical Audit Tool: ™ PCS CAT). Collated patient data included information on chronic disease management and prevention, prevalence of overweight and obesity, mental health indicators, medication profiling and home medicine reviews, as well as uptake of preventive health services (immunisation and cervical cancer screening).

resultsHigher than national average estimates were found for the age-adjusted prevalence of chronic diseases such as hypertension (14.3% for sample vs 10.4%, nationally), anxiety disorders (4.4% vs 3.8%) and obesity/overweight (67.1 vs 63.4%). Preventive health assessment items were undersubscribed, ranging from 6-20% in eligible patients.

conclusionsThis pilot study has demonstrated that the scope of data collected by patient visits to their General Practitioners, facilitated through the Medicare-funded primary health care system in Australia, offers a feasible opportunity for monitoring of chronic disease prevalence and its associated risk factors. The inclusion of a larger number of sentinel sites that are generalizable to the population being served would provide an accurate and region-specific system for the purposes of population health planning at the primary care level in order to improve the overall health of the community.

Indexed as

Medical Records Systems, ComputerizedQuality Indicators, Health CareSentinel SurveillanceAdolescentAdultAgedChildChild, PreschoolChronic DiseaseClinical AuditEvidence-Based MedicineFemaleHumansInfantInfant, NewbornMale

Identifiers

PMID23902663
PMCPMC3733951

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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.