Evidence map›Paper›PMID 27448797›Full record

ArticleBMC medical informatics and decision making2016

The eClinical Care Pathway Framework: a novel structure for creation of online complex clinical care pathways and its application in the management of sexually transmitted infections.

Jo Gibbs, Lorna J Sutcliffe, Voula Gkatzidou, Kate Hone, Richard E Ashcroft, Emma M Harding-Esch, Catherine M Lowndes, S Tariq Sadiq, Pam Sonnenberg, Claudia S Estcourt

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

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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

10 authors at 5 institutions in 1 country.

Jo GibbsBlizard Institute, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, UK. jo.gibbs@ucl.ac.uk.ORCID 0000-0001-5696-0260
Lorna J SutcliffeBlizard Institute, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, UK.
Voula GkatzidouSchool of Information Systems & Computing, Brunel University London, Uxbridge, UK.
Kate HoneSchool of Information Systems & Computing, Brunel University London, Uxbridge, UK.
Richard E AshcroftSchool of Law, Queen Mary University of London, Mile End Road, London, UK.
Emma M Harding-EschHIV/STI Department, Public Health England, London, UK.
Catherine M LowndesHIV/STI Department, Public Health England, London, UK.
S Tariq SadiqInstitute of Infection and Immunity, St George's, University of London, London, UK.
Pam SonnenbergResearch Department of Infection and Population Health, University College London, Mortimer Market Centre, off Capper Street, London, UK.
Claudia S EstcourtBlizard Institute, Barts and The London School of Medicine & Dentistry, Queen Mary University of London, London, UK.
Queen Mary University of London · GBBrunel University of London · GBPublic Health England · GBMortimer Market Centre · GBSt George's, University of London · GB

Funding

Medical Research Council G0901608
6 · The paper itself

Abstract

backgroundDespite considerable international eHealth impetus, there is no guidance on the development of online clinical care pathways. Advances in diagnostics now enable self-testing with home diagnosis, to which comprehensive online clinical care could be linked, facilitating completely self-directed, remote care. We describe a new framework for developing complex online clinical care pathways and its application to clinical management of people with genital chlamydia infection, the commonest sexually transmitted infection (STI) in England.

methodsUsing the existing evidence-base, guidelines and examples from contemporary clinical practice, we developed the eClinical Care Pathway Framework, a nine-step iterative process. Step 1: define the aims of the online pathway; Step 2: define the functional units; Step 3: draft the clinical consultation; Step 4: expert review; Step 5: cognitive testing; Step 6: user-centred interface testing; Step 7: specification development; Step 8: software testing, usability testing and further comprehension testing; Step 9: piloting. We then applied the Framework to create a chlamydia online clinical care pathway (Online Chlamydia Pathway).

resultsUse of the Framework elucidated content and structure of the care pathway and identified the need for significant changes in sequences of care (Traditional: history, diagnosis, information versus Online: diagnosis, information, history) and prescribing safety assessment. The Framework met the needs of complex STI management and enabled development of a multi-faceted, fully-automated consultation.

conclusionThe Framework provides a comprehensive structure on which complex online care pathways such as those needed for STI management, which involve clinical services, public health surveillance functions and third party (sexual partner) management, can be developed to meet national clinical and public health standards. The Online Chlamydia Pathway's standardised method of collecting data on demographics and sexual behaviour, with potential for interoperability with surveillance systems, could be a powerful tool for public health and clinical management.

Indexed as

Critical PathwaysDrug PrescriptionsInternetPractice Guidelines as TopicChlamydia InfectionsContact TracingEnglandHumansTelemedicineChlamydia trachomatiseHealthFrameworkOnline clinical care pathwaySexual healthSexually transmitted infections

Identifiers

PMID27448797
PMCPMC4957844
OpenAlexW2491088084

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.