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Record W1968507335 · doi:10.1097/olq.0b013e31824c0e77

Evaluation of Online Partner Notification Services Like inSPOT Requires Starting With the Client, Not the Clinic

2012· letter· en· W1968507335 on OpenAlexaffabout
Travis Salway, Mark Gilbert

Bibliographic record

VenueSexually Transmitted Diseases · 2012
Typeletter
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsBC Centre for Disease Control
Fundersnot available
KeywordsMedicinePartner notificationGonorrheaChlamydiaPopulationFamily medicineService (business)Intervention (counseling)Sexually transmitted diseaseRandomized controlled trialInternet privacyContact tracingNursingHuman immunodeficiency virus (HIV)SyphilisDiseaseInternal medicine

Abstract

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To the Editor: Two recent publications in Sexually Transmitted Diseases have evaluated uptake of the Web-based partner notification (PN) service inSPOT. Rietmeijer et al describe low awareness (6%) and usage (2%/1% had sent/received an e-card) of inSPOT among 481 clients sampled from a predominantly heterosexual STD clinic population exposed to various promotional messages during the course of 6 months.1 Kerani et al randomized 75 men who have sex with men diagnosed with gonorrhea or chlamydia to one of 4 study arms—traditional PN, inSPOT, PDPT (patient-delivered partner therapy), or inSPOT/PDPT combined—and found that only 1 of the 27 clients assigned to an inSPOT arm used the service.2 Authors of both studies conclude that few clients are interested in inSPOT and thus caution against its use as a PN tool. These studies yield important information about the overall appeal of inSPOT, suggesting that broad promotion of the service is unlikely to result in high uptake; however, by using a clinic-based sampling frame, their results do not resolve the question, for whom are online PN services most beneficial? As an alternative hypothesis, we offer that inSPOT is not an intervention to be applied to all clients diagnosed with an STD but rather a supplemental tool to existing PN services, and one likely suited to a particular client who chooses to self-notify partners. Even if clients who opt to use inSPOT are few, they may nonetheless be of interest if they have numerous sex partners and would not otherwise encourage those partners to get tested. Clients with multiple partners indeed have been shown to be more likely to have only electronic contact information for their partners3 and less likely to follow through with PN.4 Determining the best way to support PN for these clients—whether through services like inSPOT or through other means—is critical. In the light of this reconsideration of the scope and purpose of inSPOT, we contend that evaluation of the service should start with the client who uses it rather than an entire clinic population. Clients who are inclined to use inSPOT may not enroll in a randomized controlled trial, particularly if they are disinclined to discuss PN to begin with (notably only 19% of those eligible ultimately enrolled in the Kerani trial). These individuals may be missed, both by traditional PN services and by clinic-based research, perhaps for similar reasons (e.g., an aversion to engage with public health or STD clinic providers at the time of diagnosis). Therefore, we propose a study design complementary to that of Rietmeijer and Kerani, which directly samples clients who elect to use inSPOT as their preferred PN method, as well as those who have received an e-card. This approach could be efficiently achieved through a Web-based survey—thereby reaching a sample of clients amenable to online services—that better characterizes clients successfully using inSPOT and measures whether those who receive an electronic notification follow through with testing. Both questions are of keen importance to the inSPOT debate and remain unanswered by research published to date. Travis S. Hottes, MSc Mark Gilbert, MD, MHSc British Columbia Centre for Disease Control Vancouver, British Columbia, Canada

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.490
Threshold uncertainty score0.860

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.083
GPT teacher head0.381
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2012
Admission routes2
Has abstractyes

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