Cervical Cancer Screening and Prevention in 78 Sexually Transmitted Disease Clinics-United States, 2014-2015

Prevention Strategies and Early Diagnosis of Cervical Cancer: Current State and Prospects

Cervical cancer ranks third among all new cancer cases and causes of cancer deaths in females. The paper provides an overview of cervical cancer prevention strategies employed in different regions, with incidence and mortality rates ranging from high to low. It assesses the effectiveness of approaches proposed by national healthcare systems by analysing data published in the National Library of Medicine (Pubmed) since 2018 featuring the following keywords: "cervical cancer prevention", "cervical cancer screening", "barriers to cervical cancer prevention", "premalignant cervical lesions" and "current strategies". WHO's 90-70-90 global strategy for cervical cancer prevention and early screening has proven effective in different countries in both mathematical models and clinical practice. The data analysis carried out within this study identified promising approaches to cervical cancer screening and prevention, which can further enhance the effectiveness of the existing WHO strategy and national healthcare systems. One such approach is the application of AI technologies for detecting precancerous cervical lesions and choosing treatment strategies. As such studies show, the use of AI can not only increase detection accuracy but also ease the burden on primary care.

Association of an Active Choice Intervention in the Electronic Health Record Directed to Medical Assistants With Clinician Ordering and Patient Completion of Breast and Colorectal Cancer Screening Tests

IMPORTANCE

Early cancer detection can lead to improved outcomes, but cancer screening tests are often underused.

OBJECTIVE

To evaluate the association of an active choice intervention in the electronic health record directed to medical assistants with changes in clinician ordering and patient completion of breast and colorectal cancer screening tests.

DESIGN, SETTING, AND PARTICIPANTS

A retrospective quality improvement study was conducted among 69 916 patients eligible for breast or colorectal cancer screening at 25 primary care practices at the University of Pennsylvania Health System between September 1, 2014, and August 31, 2017. Data analysis was conducted from January 21 to July 8, 2019.

INTERVENTIONS

From 2016 to 2017, 3 primary care practices at the University of Pennsylvania Health System implemented an active choice intervention in the electronic health record that prompted medical assistants to inform patients about cancer screening during check-in and template orders for clinicians to review during the visit.

MAIN OUTCOMES AND MEASURES

The primary outcome was clinician ordering of cancer screening tests. The secondary outcome was patient completion of cancer screening tests within 1 year of the primary care visit.

RESULTS

The sample eligible for breast cancer screening comprised 26 269 women with a mean (SD) age of 60.4 (6.9) years; 15 873 (60.4%) were white and 7715 (29.4%) were black. The sample eligible for colorectal cancer screening comprised 43 647 patients with a mean (SD) age of 59.4 (7.5) years; 24 416 (55.9%) were women, 19 231 (44.1%) were men, 29 029 (66.5%) were white, and 9589 (22.0%) were black. For breast cancer screening, the intervention was associated with a significant increase in clinician ordering of tests (22.2 percentage points; 95% CI, 17.2-27.6 percentage points; P < .001) but no change in patient completion (0.1 percentage points; 95% CI, -4.0 to 4.3 percentage points; P = .45). For colorectal cancer screening, the intervention was associated with a significant increase in clinician ordering of tests (13.7 percentage points; 95% CI, 8.0-18.9 percentage points; P < .001) but no change in patient completion (1.0 percentage points; 95% CI, -3.2 to 4.6 percentage points; P = .36).

CONCLUSIONS AND RELEVANCE

An active choice intervention in the electronic health record directed to medical assistants was associated with a significant increase in clinician ordering of breast and colorectal cancer screening tests. However, it was not associated with a significant change in patient completion of either cancer screening test during a 1-year follow-up.

Existence, Distribution, and Characteristics of STD Clinics in the United States, 2017

OBJECTIVES

Studies of sexually transmitted disease (STD) clinics have been limited by the lack of a national list for representative sampling. We sought to establish the number, type, and distribution of STD clinics and describe selected community characteristics associated with them.

METHODS

We conducted a 2-phased, multilevel, online search from September 2014 through March 2015 and from May through October 2017 to identify STD clinics in all 50 US states and the District of Columbia. We obtained data on clinic name, address, contact information, and 340B funding status (which requires manufacturers to provide outpatient drugs at reduced prices). We classified clinics by type. We also obtained secondary county-level data to compare rates of chlamydia and HIV, teen births, uninsurance and unemployment, and high school graduation; ratios of primary care physician to population; health care costs; median household income; and percentage of population living in rural areas vs nonrural areas. We used t tests to examine mean differences in characteristics between counties with and without STD clinics.

RESULTS

We found 4079 STD clinics and classified them into 10 types; 2530 (62.0%) clinics were affiliated with a local health department. Of 3129 counties, 1098 (35.1%) did not have an STD clinic. Twelve states had an STD clinic in every county, and 34 states had ≥1 clinic per 100 000 population. Most STD clinics were located in areas of high chlamydia morbidity and where other surrogate needs were greatest; rural areas were underserved by STD clinics.

CONCLUSIONS

This list may aid in more comprehensive national studies of clinic services, STD clinic adaptation to external policy changes (eg, in public financing or patient access policy), and long-term clinic survival, with special attention to clinic coverage in rural areas.

Association of Primary Care Clinic Appointment Time With Clinician Ordering and Patient Completion of Breast and Colorectal Cancer Screening

IMPORTANCE

As the clinic day progresses, clinicians may fall behind schedule and experience decision fatigue. However, the association of time of day with cancer screening rates is unknown.

OBJECTIVE

To evaluate the association of primary care clinic appointment time with clinician ordering and patient completion of breast and colorectal cancer screening.

DESIGN, SETTING, AND PARTICIPANTS

Retrospective, quality improvement study of 33 primary care practices in Pennsylvania and New Jersey from September 1, 2014, to August 31, 2016. Participants included adults eligible for breast or colorectal cancer screening. Data analysis was conducted from April 24, 2018, to November 8, 2018.

EXPOSURES

Clinic appointment time during each patient's first primary care physician visit in the study period.

MAIN OUTCOMES AND MEASURES

Primary outcome was clinician ordering of the screening test during the visit. Secondary outcome was patient completion of the tests within 1 year of the visit.

RESULTS

Among the 19 254 patients eligible for breast cancer screening, the mean (SD) age was 60.2 (6.9) years; 19 254 (100%) were female, 11 682 (60.7%) were white, and 5495 (28.5%) were black. Screening test order rates were highest at 8 am at 63.7%, decreased throughout the morning to 48.7% at 11 am, increased to 56.2% at noon, and then decreased to 47.8% at 5 pm (adjusted odds ratio [OR] for overall trend, 0.94; 95% CI, 0.93-0.96; P < .001). Trends in screening test completion rates were similar beginning at 33.2% at 8 am and decreasing to 17.8% at 5 pm (adjusted OR, 0.95; 95% CI, 0.94-0.97; P < .001). Among the 33 468 patients eligible for colorectal cancer screening, the mean (SD) age was 59.6 (7.4) years; 18 672 (55.8%) were female, 22 157 (66.2%) were white, and 7296 (21.8%) were black. Screening test order rates were 36.5% at 8 am, decreased to 31.3% by 11 am, increased at noon to 34.4%, and then decreased to 23.4% at 5 pm (adjusted OR, 0.94; 95% CI, 0.93-0.95; P < .001). Trends in screening test completion rates were similar beginning at 28.0% at 8 am and decreasing to 17.8% at 5 pm (adjusted OR, 0.97; 95% CI, 0.96-0.98; P < .001).

CONCLUSIONS AND RELEVANCE

Clinician ordering of cancer screening tests significantly decreased as the clinic day progressed. Patient completion of cancer screening tests within 1 year of the visit was also lower as the primary care appointment time was later in the day. Future interventions targeting improvements in cancer screening should consider how time of day may influence these behaviors.