Evidence map›Paper›PMID 38032729›Full record

ArticleJMIR medical informatics2023

Exploring Whether the Electronic Optimization of Routine Health Assessments Can Increase Testing for Sexually Transmitted Infections and Provider Acceptability at an Aboriginal Community Controlled Health Service: Mixed Methods Evaluation.

Heather McCormack, Handan Wand, Christy E Newman, Christopher Bourne, Catherine Kennedy, Rebecca Guy

Abstract read
In one paragraph

Article in JMIR medical informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Heather McCormackKirby Institute, University of New South Wales, Kensington, Australia.ORCID https://orcid.org/0000-0002-9544-6798
Handan WandKirby Institute, University of New South Wales, Kensington, Australia.ORCID https://orcid.org/0000-0002-8279-7652
Christy E NewmanCentre for Social Research in Health, University of New South Wales, Kensington, Australia.ORCID https://orcid.org/0000-0002-5482-2822
Christopher BourneKirby Institute, University of New South Wales, Kensington, Australia.ORCID https://orcid.org/0000-0001-7391-3941
Catherine KennedyMaari Ma Health Aboriginal Corporation, Broken Hill, Australia.ORCID https://orcid.org/0009-0003-0720-3986
Rebecca GuyKirby Institute, University of New South Wales, Kensington, Australia.ORCID https://orcid.org/0000-0002-2929-4634

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the context of a syphilis outbreak in neighboring states, a multifaceted systems change to increase testing for sexually transmitted infections (STIs) among young Aboriginal people aged 15 to 29 years was implemented at an Aboriginal Community Controlled Health Service (ACCHS) in New South Wales, Australia. The components included electronic medical record prompts and automated pathology test sets to increase STI testing in annual routine health assessments, the credentialing of nurses and Aboriginal health practitioners to conduct STI tests independently, pathology request forms presigned by a physician, and improved data reporting.

objectiveWe aimed to determine whether the systems change increased the integration of STI testing into routine health assessments by clinicians between April 2019 and March 2020, the inclusion of syphilis tests in STI testing, and STI testing uptake overall. We also explored the understandings of factors contributing to the acceptability and normalization of the systems change among staff.

methodsWe used a mixed methods design to evaluate the effectiveness and acceptability of the systems change implemented in 2019. We calculated the annual proportion of health assessments that included tests for chlamydia, gonorrhea, and syphilis, as well as an internal control (blood glucose level). We conducted an interrupted time series analysis of quarterly proportions 24 months before and 12 months after the systems change and in-depth semistructured interviews with ACCHS staff using normalization process theory.

resultsAmong 2461 patients, the annual proportion of health assessments that included any STI test increased from 16% (38/237) in the first year of the study period to 42.9% (94/219) after the implementation of the systems change. There was an immediate and large increase when the systems change occurred (coefficient=0.22; P=.003) with no decline for 12 months thereafter. The increase was greater for male individuals, with no change for the internal control. Qualitative data indicated that nurse- and Aboriginal health practitioner-led testing and presigned pathology forms proved more difficult to normalize than electronic prompts and shortcuts. The interviews identified that staff understood the modifications to have encouraged cultural change around the role of sexual health care in routine practice.

conclusionsThis study provides evidence for the first time that optimizing health assessments electronically is an effective and acceptable strategy to increase and sustain clinician integration and the completeness of STI testing among young Aboriginal people attending an ACCHS. Future strategies should focus on increasing the uptake of health assessments and promote whole-of-service engagement and accountability.

Indexed as

AboriginalacceptabilityacceptanceadolescentadolescentsadoptionEHRelectronic health recordelectronic medical recordEMRhealth assessmenthealth assessmentshealth recordhealth recordsimplementationIndigenousIndigenous healthmedical recordsNativeprimary carepromptpromptssexual healthsexually transmittedsexually transmitted diseasesexually transmitted infectionsexual transmissionSTDSTIsyphilissystems changetestingtime seriesuptakeyoung peopleyouth

Identifiers

PMID38032729
PMCPMC10722379

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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.