Evidence map›Paper›PMID 36544124›Full record

ArticleHarm reduction journal2022

Analysis of four syringe dispensing machine point-of-access data 2017-2020 in Melbourne, Australia: machine utilisation and client demographics.

Phoebe Kerr, Reece D Cossar, Michael Livingston, David Jacka, Paul Dietze, Daniel O'Keefe

Open access · goldAbstract read
In one paragraph

Article in Harm reduction journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
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

6 authors at 3 institutions in 1 country.

Phoebe KerrBehaviours and Health Risks, Burnet Institute, 85 Commercial Road, Melbourne, VIC, 3004, Australia.
Reece D CossarBehaviours and Health Risks, Burnet Institute, 85 Commercial Road, Melbourne, VIC, 3004, Australia.
Michael LivingstonBehaviours and Health Risks, Burnet Institute, 85 Commercial Road, Melbourne, VIC, 3004, Australia.
David JackaDrug and Alcohol Service, Monash Health, Dandenong, VIC, Australia.
Paul DietzeBehaviours and Health Risks, Burnet Institute, 85 Commercial Road, Melbourne, VIC, 3004, Australia.
Daniel O'KeefeBehaviours and Health Risks, Burnet Institute, 85 Commercial Road, Melbourne, VIC, 3004, Australia. daniel.okeefe@burnet.edu.au.
Burnet Institute · AUMonash Health · AUMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAustralian needle and syringe distribution occurs via a mix of modalities, including syringe dispensing machines (SDMs). SDMs are electronic vending machines providing (often) 24-h access to needles/syringes and may attract greater numbers of people who are younger, female, and/or have limited connection to health care services compared to individuals accessing fixed-site needle and syringe programs (NSPs). However, validating the demographic characteristics of SDM clients has proven difficult in previous research.

methodsIn this paper, we analyse SDM order and client demographic data from four SDMs located in South-East Melbourne, Australia, and compare this against the managing fixed-site NSP between May 2017 and December 2020. SDM data were collected via a novel 0-9 numeric keypad input tool. Via the tool, SDM clients were requested to input their categorised age, gender and postcode. Given the novelty of the tool, we evaluate the feasibility of the data collection method. We analysed data according to: (1) total SDM orders made, (2) estimated 'unique SDM presentations' and (3) describing the demographics of unique SDM clients. Importantly, we noted substantial invalid demographic data, and consequently, severely restricted data for analysis.

resultsThere were 180,989 SDM orders made across the four SDMs to an estimated 90,488 unique SDM presentations. There was little variation in unique presentations across days of the week, but 69% occurred out of NSP operating hours. Across the study period, the SDMs distributed 66% of the number of syringes distributed by the fixed-site NSP. Due to invalid demographic data, our restriction method provided only 10,914 (6% of all data) unique presentations for analysis. There were some demographic differences between SDM and NSP client, but these should be treated with caution.

conclusionsThe data collection tool provides a novel means of comparing SDM and fixed-site presentations, demonstrating the substantial expansion of service via the SDMs. However, the validity of the demographic data was highly questionable and requires significant data coding, meaning it is not feasible for community NSPs. While we recommend the inclusion of automatically collected SDM order data, the use of a 0-9 numeric keypad to collect demographic data-while an innovation-requires alteration to support NSP data.

Indexed as

Substance Abuse, IntravenousAustraliaDemographyFemaleHumansNeedle-Exchange ProgramsSyringesHarm reductionNeedle and syringe programSyringe dispensing machineSyringe vending machine

Identifiers

PMID36544124
PMCPMC9768389
OpenAlexW4312130100

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.