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Record W2048909638 · doi:10.1097/olq.0b013e31827de342

Modernizing Operations to Improve Efficiency and Refine the Role and Mission of Sexually Transmitted Infection Clinics

2012· letter· en· W2048909638 on OpenAlexaboutno aff
Julia C. Dombrowski, Matthew R. Golden

Bibliographic record

VenueSexually Transmitted Diseases · 2012
Typeletter
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsnot available
FundersNational Institute of Mental Health
KeywordsMedicineHealth carePopulationPublic healthFamily medicineNursingEnvironmental healthEconomic growth

Abstract

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Like all aspects of health care, efforts to provide clinical services for persons at risk for sexually transmitted infections (STI) are constrained by resource limitations. Categorical STI clinics have long played a central role in the provision of STI care in many parts of the world. However, in the United States, these clinics face an uncertain future. Some policy makers believe that the clinics, long tasked with caring for a predominantly uninsured population, will become obsolete as health care reform assures that all Americans have health insurance and access to primary care. We believe that STI clinics should continue to exist even after the Affordable Care Act is fully implemented in the United States.1 Nations such as the United Kingdom, Canada, the Netherlands, and Australia, all of which have had universal health care for decades, have found it necessary to sustain national networks of STI clinics, and we believe that the United States will also continue to need these clinics in the years to come. However, the traditional model of service delivery provided in STI clinics must evolve.1,2 The goal of this evolution should be to improve efficiency and quality of care while maximizing population-level impact and focusing on medical and public health needs that the rest of the health care system cannot address. The objective of improving clinical efficiency is to eliminate demand for unnecessary services and decrease unit costs while simultaneously sustaining or improving objective measures of care quality and patient satisfaction. Over the last several years, a rapidly expanding literature has described a variety of testing-focused “express” visit models in sexually transmitted infection (STI) clinics. These models typically involve triaging asymptomatic patients to a lower cost and less time-intensive clinical service3–7 and have often been aided by technological innovations such as computer-assisted self-registration,8 computer-assisted self-interview (CASI) to collect medical history,7,9–11 and internet-based provision of testing results.12 Such innovations are designed primarily to increase efficiency but also have the capacity to improve the quality of care, for example, by using electronic health record data to promote indicated testing and treatment and to diminish the use of services with minimal or no personal or public health impact.6 Efficiency may be further enhanced by offering patients the option to self-collect anatomic swabs for bacterial STI screening, essentially task shifting this clinical activity from staff to patients, which may improve case detection in the process.13–15 At least one clinic has essentially removed clinicians from the process of screening asymptomatic patients by using a computer interview to offer eligible patients the option to obtain packets for specimen self-collection from a vending machine.16 Do such strategies effectively and substantially improve clinic efficiency and/or quality of care? The Denver Metro Health (STI) Clinic reported that a Web-based test results system effectively decreased the proportion of patients who called the clinic for results while maintaining the proportion of patients who received their results.12 The Denver Metro Health Clinic investigators also reported that implementation of express visits in their clinic reached 24% of clinic patients in the evaluation period and resulted in a 39% time savings for male patients and 56% time savings for female patients.4 The New York City Department of Health and Mental Hygiene reported that implementation of express visits across its 10-clinic system was followed by increased detection of gonorrhea and chlamydial infection, an increase in the percent of patients treated within 30 days of their clinic visit (92.1%–95.9%), and a decrease in the median time to treatment (14–10 days).6 The Melbourne Sexual Health Centre pioneered the use of CASI in routine clinical care but reported no difference in mean consultation times pre- and post-CASI implementation.11 In this issue of Sexually Transmitted Diseases, Knight and colleagues17 report an evaluation of the Xpress STI screening clinic in the Sydney Sexual Health Centre (SSHC). The Xpress clinic incorporates multiple interventions designed to increase clinic efficiency. The process begins with standardized nurse determination of eligibility for express care, and eligible patients are offered a choice as to whether or not to accept express care. The Xpress clinic uses CASI to obtain risk and sexual history and to deliver education and pretest information to patients. After CASI, patients collect their own genital and rectal swabs, and an enrolled nurse who operates under the direction and supervision of a registered nurse collects blood samples and pharyngeal swabs. The SSHC model of express care differs from many others described to date in that it uses separate staff to complete express care. The authors compared the first 5 months of the Xpress STI screening clinic to the same 5 months of the prior year. With implementation of the Xpress clinic, the total number of patient visits in the SSHC increased by 11%; 13% of patients in the Xpress period were seen in the Xpress clinic. Total staff hours increased by 13%, but due to the lower pay of Xpress clinic staff, the overall cost per patient seen in the SSHC decreased by 6%. Although the mean visit length in the Xpress clinic was approximately half that of routine clinic visits (21 minutes vs. 40 minutes), introduction of the Xpress clinic had only a minimal impact on overall median length of patient stay and wait times in the clinic, largely because the Xpress clinic operated at 40% capacity. The authors identify underutilization as the primary factor that limited the impact of the Xpress clinic on overall clinic efficiency and postulate that this was caused by requiring all new MSM patients to have HIV pretest counseling in the routine clinic and by the lack of Xpress clinic promotion outside the SSHC patient population. This study is among the most rigorous evaluations published to date of an intervention designed to increase efficiency of an STI clinic’s operations. The investigators tracked times for all major steps of the patient journey through clinic, clinical staff hours worked, and salaries associated with staff hours over the entire 10-month evaluation period. They documented patient eligibility for and uptake of Xpress clinic services. However, the intervention’s impact was modest, and the study results beg the question “Was it worth it?” We believe that the answer to this question is an emphatic “Yes.” Like studies undertaken in Denver, New York, and Melbourne, the observed benefits were not overwhelming, but there was evidence of benefit. Major changes in clinic procedures and staffing are incremental by nature, and their full impact may not be immediately apparent. Both STI clinic staff and the patients they serve require time to adapt. Moreover, in some instances, the introduction of a new approach or technology (e.g., a new triage system) may require a new staffing model to realize its full effect. In other words, changes may have synergistic, long-term effects that are difficult to discern when first introduced. The Sydney group noted that although the Xpress clinic was initially underutilized, uptake increased in the 3 months after the study period, demonstrating that the effect of their intervention was likely underestimated in the initial evaluation. The imperative to improve clinical operations should ideally generate an implementation research agenda. In Table 1, we put forth several questions related to STI clinic operations that are amenable to study, organized around the goals of improving efficiency, quality, and population-level impact. At least in the United States, progress addressing these questions is by no means certain. Research in this area does not clearly align with traditional areas of interest for the National Institutes of Health. The Centers for Disease Control and Prevention has very limited funding to support STI-related extramural research, although perhaps the central role of STI clinics in HIV case finding could justify some use of more abundant HIV-related funding to support research in this area. Also, the Patient-Centered Outcomes Research Institute is a relatively new source of potential funding for research on improving STI clinic operations as part of the larger health care system. Ideally, efforts to improve clinic operations would involve the development of products (e.g., clinic CASI and results reporting systems) that foster dissemination to other clinics and drive down costs.TABLE 1: Key Operational Research Questions Related to STI Clinic EfficiencySexually transmitted infection clinics continue to be the most important single sites for the diagnosis of HIV and syphilis in many US cities.1 Patients often prefer to receive care in these clinics,18 the care provided is often superior to that available elsewhere,19 and the clinics play a central role in clinical research,20 public health surveillance activities,21–23 STI clinical training, and workforce development. International experience, as well as recent experience in Massachusetts,24 where more than 90% of the population is insured, suggests that demand for services in these clinics is likely to persist after the Affordable Care Act is implemented. Our goal as public health professionals, researchers, and clinicians should be to improve these clinics and promote their focus on the unique roles they can play in STI care, prevention, and research.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.424
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.367
Teacher spread0.334 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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".

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Citations15
Published2012
Admission routes1
Has abstractyes

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