Evidence map›Paper›PMID 16461603›Full record

ArticleSexually transmitted infections2006

Texting decreases the time to treatment for genital Chlamydia trachomatis infection.

A S Menon-Johansson, F McNaught, S Mandalia, A K Sullivan

2 registry-linked trialsOpen access · bronzeAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Sexually transmitted infections, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 39 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 7 pooled it
9.3field-weighted citation impact, top 2% 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.

NCT01037868 nacompletednot on this mapstarted 2009, after this paper: background citation

A Randomised Trial on the Usefulness of Supportive Text Messages in the Treatment of Depressed Patients With Co-morbid Alcohol Dependency Syndrome

TypeinterventionalSponsorUniversity of Dublin, Trinity CollegeRan2009 to 2012Enrolled56ConditionsDepression, Alcohol Use DisorderArmsSupportive SMS text messages
NCT01823120 naterminatednot on this mapstarted 2015, after this paper: background citation

Text Message Intervention to Reduce Repeat Self-harm in Patients Presenting to the Emergency Department

TypeinterventionalSponsorUniversity of Dublin, Trinity CollegeRan2015 to 2015Enrolled10ConditionsSelf-Injurious BehaviorArmsSupportive and interactive text messages
3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 7 syntheses or guidelines pooled it, 107 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Mobile phone messaging for preventive health care.The Cochrane database of systematic reviews · 2012
    Pooled it
  5. Mobile phone messaging for communicating results of medical investigations.The Cochrane database of systematic reviews · 2012
    Pooled it
  6. Pooled it
  7. Pooled it
  8. Trial
  9. Improving sexually transmitted infection results notification via mobile phone technology.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2014
    Trial
  10. Trial
  11. Text messaging reminders to reduce non-attendance in chronic disease follow-up: a clinical trial.The British journal of general practice : the journal of the Royal College of General Practitioners · 2009
    Trial
  12. Evaluating a new partner management strategy for bacterial sexually transmitted infections after a change in 2020 in Amsterdam, the Netherlands, 2017 to 2023.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Diagnostic accuracy of a prototype rapid chlamydia and gonorrhoea recombinase polymerase amplification assay: a multicentre cross-sectional preclinical evaluation.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2019
    Article
  17. Article
  18. Article
  19. Review
  20. 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

4 authors at 1 institution in 1 country.

A S Menon-JohanssonJohn Hunter Clinic, St Stephen's Centre, Chelsea and Westminster Hospital, 369 Fulham Road, London SW10 9NH, UK. ann.sullivan@chelwest.nhs.uk
F McNaught
S Mandalia
A K Sullivan
Chelsea and Westminster Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the effectiveness of a text message result service within an inner London sexual health clinic.

methodDemographic data, diagnoses, and time to diagnosis and treatment were collected over a 6 month period for patients receiving text messages and a matched standard recall group. Data on messages sent, staff time, and cost in relation to result provision were collected.

resultsOver a 6 month period 952 text messages were sent. In the final month of analysis, 33.9% of all clinic results were provided by text, resulting in a saving of 46 hours of staff time per month. 49 messages requested that the patient return for treatment, 28 of these patients had untreated genital Chlamydia trachomatis (CT) infection. The mean number of days (SD) to diagnosis was significantly shorter in the text message group (TG) v the standard recall group (SG) (7.9 (3.6) v 11.2 (4.7), p <0.001). The median time to treatment was 8.5 days (range 4-27 days) for the TG group v 15.0 (range 7-35) for SG, p = 0.005.

conclusionPatients with genital CT infection are diagnosed and receive treatment sooner since the introduction of a text message result service. The introduction of this service has resulted in a significant saving in staff time.

Indexed as

Cell PhoneCommunicationAdultChlamydia InfectionsChlamydia trachomatisFemaleHumansMaleTime Factors

Identifiers

PMID16461603
PMCPMC2563840
OpenAlexW2160690162

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.