Tracking abnormal cervical cancer screening: evaluation of an EMR-based intervention

How follow-up rates in cervical cancer screening depend on organizational factors: A comparison of two population-based organized screening programmes

OBJECTIVES

This study compares the follow-up rates of non-normal cervical screening samples between Denmark and Flanders (Belgium) to illuminate whether organizational differences between the health systems might affect the follow-up rates, e.g. sending of reminders in Denmark since 2012 compared to Flanders with no such system in place.

METHODS

The study population included 48,082 Danish women and 22,271 Flemish women who received abnormal or inadequate primary screening results from 2014 to 2016. The participants were followed for 24 months, and the timeliness and appropriateness of the recommended follow-up, according to national guidelines, were evaluated.

RESULTS

After 18 months over 90% of the Danish women had received some form of follow-up, while in Flanders, this level is achieved only for those who test positive for human papillomavirus. The analysis also revealed that 10-28% of follow-ups were performed too early, with Danish women showing the highest proportions. In both regions, general practitioners (GPs) exhibited better follow-up rates compared to gynaecologists, with gynaecologists displaying a tendency towards earlier re-testing than recommended.

CONCLUSIONS

An important factor influencing the follow-up rate may be the sending of reminders in Denmark since 2012, as the follow-up rates in general were higher in this period. It is noteworthy that a reminder system is currently being implemented in Flanders and further studies on the potential effects should be studied. Additionally, the organization of the health system might influence the follow-up rate, as engaging the GP for screening in Denmark may have had a positive effect.

Interventions to increase follow-up of abnormal cervical cancer screening results: A systematic literature review and meta-analysis

INTRODUCTION

Ensuring timely follow-up of abnormal screening results is essential for eliminating cervical cancer.

OBJECTIVE

The purpose of the study was to review single and multicomponent interventions designed to improve follow-up of women with abnormal cervical cancer screening results. We report on effectiveness across studies, and describe what aspects of these interventions might be more impactful.

METHODS

Publications were searched between January 2000 and December 2022. The search included observational, quasi-experimental (pre-post studies) and randomized controlled studies describing at least one intervention to increase follow-up of women with abnormal cervical cancer screening results. Outcomes of studies included completion of any follow-up (i.e., attending a follow-up appointment), timely diagnosis (i.e., colposcopy results within 90 days of screening) and time to diagnostic resolution (i.e., days between screening and final diagnosis). We assessed risk of bias for observational and quasi-experimental studies using the Newcastle-Ottawa Scale (NOS) tool and the Cochrane collaboration tool for randomized studies. We conducted a meta-analysis using studies where data were provided to estimate a summary average effect of the interventions on follow-up of patients and to identify characteristics of studies associated with an increased effectiveness of interventions. We extracted the comparison and intervention proportions of women with follow-up before and after the intervention (control and intervention) and plotted the odds ratios (ORs) of completing follow-up along with the 95% confidence intervals (CIs) using forest plots for the interventions vs. controls when data were available.

FINDINGS

From 7,457 identified studies, 28 met the inclusion criteria. Eleven (39%) of the included studies had used a randomized design. Most studies (63%) assessed completion of any follow-up visit as the primary outcome, whereas others measured time to definite diagnosis (15%) or diagnostic resolution (22%). Navigation was used as a type of intervention in 63% of the included studies. Most interventions utilized behavioral approaches to improve outcomes. The overall estimate of the OR for completion of follow-up for all interventions was 1.81 (1.36-2.42). The highest impact was for programs using more than one approach (multicomponent interventions) to improve outcomes with OR = 3.01 (2.03-4.46), compared with studies with single intervention approaches with OR = 1.56 (1.14-2.14). No statistical risks were noted from publication bias or small-study effects in the studies reviewed.

CONCLUSION

Our findings revealed large heterogeneity in how follow-up of abnormal cervical cancer screening results was defined. Our results suggest that multicomponent interventions were more effective than single component interventions and should be used to improve follow-up after abnormal cervical cancer screening results. Navigation appears to be an important tool for improving follow-up. We also provide recommendations for future studies and implications for policy in terms of better defining outcomes for these interventions.

Patient-, Provider-, and System-Level Barriers to Surveillance for Hepatocellular Carcinoma in High-Risk Patients in the USA: a Scoping Review

PURPOSE

Hepatocellular carcinoma has a dismal prognosis, except in patients diagnosed early who are candidates for potentially curative therapies. Most HCC cases develop in patients with chronic liver disease. Therefore, expert society guidelines recommend surveillance every 6 months with ultrasound with or without serum alpha-fetoprotein for high-risk patients. However, fewer than 20% of patients in the USA undergo appropriate surveillance.

METHODS

A systematic scoping review was performed with the objective of identifying barriers to screening among high-risk patients in the USA including mapping key concepts in the relevant literature, identifying the main sources and types of evidence available, and identifying gaps in the literature. A total of 43 studies published from 2007 to 2021 were included. Data were extracted and a conceptual framework was created.

RESULTS

Assessment of quantitative studies revealed poor surveillance rates, often below 50%. Three categories of barriers to surveillance were identified: patient-level, provider-level, and system-level barriers. Prevalent patient-level barriers included financial constraints, lack of awareness of surveillance recommendations, and scheduling difficulties. Common provider-level barriers were lack of provider awareness of guidelines for surveillance, difficulty accessing specialty resources, and time constraints in the clinic. System-level barriers included fewer clinic visits and rural/safety-net settings. Proposed interventions include improved patient/provider education, patient navigators, increased community/academic collaboration, and EMR-based reminders.

CONCLUSION

Based on these findings, there is a crucial need to implement and evaluate proposed interventions to improve HCC surveillance.

Uptake of a Cervical Cancer Clinical Decision Support Tool: A Mixed-Methods Study

OBJECTIVES

Clinical decision support (CDS) tools that provide point-of-care reminders of patients' care needs may improve rates of guideline-concordant cervical cancer screening. However, uptake of such electronic health record (EHR)-based tools in primary care practices is often low. This study describes the frequency of factors associated with, and barriers and facilitators to adoption of a cervical cancer screening CDS tool (CC-tool) implemented in a network of community health centers.

METHODS

This mixed-methods sequential explanatory study reports on CC-tool use among 480 community-based clinics, located across 18 states. Adoption of the CC-tool was measured as any instance of tool use (i.e., entry of cervical cancer screening results or follow-up plan) and as monthly tool use rates from November 1, 2018 (tool release date) to December 31, 2020. Adjusted odds and rates of tool use were evaluated using logistic and negative-binomial regression. Feedback from nine clinic staff representing six clinics during user-centered design sessions and semi-structured interviews with eight clinic staff from two additional clinics were conducted to assess barriers and facilitators to tool adoption.

RESULTS

The CC-tool was used ≥1 time in 41% of study clinics during the analysis period. Clinics that ever used the tool and those with greater monthly tool use had, on average, more encounters, more patients from households at >138% federal poverty level, fewer pediatric encounters, higher up-to-date cervical cancer screening rates, and higher rates of abnormal cervical cancer screening results. Qualitative data indicated barriers to tool adoption, including lack of knowledge of the tool's existence, understanding of its functionalities, and training on its use.

CONCLUSION

Without effective systems for informing users about new EHR functions, new or updated EHR tools are unlikely to be widely adopted, reducing their potential to improve health care quality and outcomes.

Computable Guidelines and Clinical Decision Support for Cervical Cancer Screening and Management to Improve Outcomes and Health Equity

Cervical cancer is highly preventable when precancerous lesions are detected early and appropriately managed. However, the complexity of and frequent updates to existing evidence-based clinical guidelines make it challenging for clinicians to stay abreast of the latest recommendations. In addition, limited availability and accessibility to information technology (IT) decision supports make it difficult for groups who are medically underserved to receive screening or receive the appropriate follow-up care. The Centers for Disease Control and Prevention (CDC), Division of Cancer Prevention and Control (DCPC), is leading a multiyear initiative to develop computer-interpretable ("computable") version of already existing evidence-based guidelines to support clinician awareness and adoption of the most up-to-date cervical cancer screening and management guidelines. DCPC is collaborating with the MITRE Corporation, leading scientists from the National Cancer Institute, and other CDC subject matter experts to translate existing narrative guidelines into computable format and develop clinical decision support tools for integration into health IT systems such as electronic health records with the ultimate goal of improving patient outcomes and decreasing disparities in cervical cancer outcomes among populations that are medically underserved. This initiative meets the challenges and opportunities highlighted by the President's Cancer Panel and the President's Cancer Moonshot 2.0 to nearly eliminate cervical cancer.

The impact of health information technology on the management and follow-up of test results - a systematic review

OBJECTIVE

To investigate the impact of health information technology (IT) systems on clinicians' work practices and patient engagement in the management and follow-up of test results.

MATERIALS AND METHODS

A search for studies reporting health IT systems and clinician test results management was conducted in the following databases: MEDLINE, EMBASE, CINAHL, Web of Science, ScienceDirect, ProQuest, and Scopus from January 1999 to June 2018. Test results follow-up was defined as provider follow-up of results for tests that were sent to the laboratory and radiology services for processing or analysis.

RESULTS

There are some findings from controlled studies showing that health IT can improve the proportion of tests followed-up (15 percentage point change) and increase physician awareness of test results that require action (24-28 percentage point change). Taken as whole, however, the evidence of the impact of health IT on test result management and follow-up is not strong.

DISCUSSION

The development of safe and effective test results management IT systems should pivot on several axes. These axes include 1) patient-centerd engagement (involving shared, timely, and meaningful information); 2) diagnostic processes (that involve the integration of multiple people and different clinical settings across the health care spectrum); and 3) organizational communications (the myriad of multi- transactional processes requiring feedback, iteration, and confirmation) that contribute to the patient care process.

CONCLUSION

Existing evidence indicates that health IT in and of itself does not (and most likely cannot) provide a complete solution to issues related to test results management and follow-up.

Improving Team-Based Decision Making Using Data Analytics and Informatics: Protocol for a Collaborative Decision Support Design

Background

According to the September 2015 Institute of Medicine report, Improving Diagnosis in Health Care, each of us is likely to experience one diagnostic error in our lifetime, often with devastating consequences. Traditionally, diagnostic decision making has been the sole responsibility of an individual clinician. However, diagnosis involves an interaction among interprofessional team members with different training, skills, cultures, knowledge, and backgrounds. Moreover, diagnostic error is prevalent in the interruption-prone environment, such as the emergency department, where the loss of information may hinder a correct diagnosis.

Objective

The overall purpose of this protocol is to improve team-based diagnostic decision making by focusing on data analytics and informatics tools that improve collective information management.

Methods

To achieve this goal, we will identify the factors contributing to failures in team-based diagnostic decision making (aim 1), understand the barriers of using current health information technology tools for team collaboration (aim 2), and develop and evaluate a collaborative decision-making prototype that can improve team-based diagnostic decision making (aim 3).

Results

Between 2019 to 2020, we are collecting data for this study. The results are anticipated to be published between 2020 and 2021.

Conclusions

The results from this study can shed light on improving diagnostic decision making by incorporating diagnostics rationale from team members. We believe a positive direction to move forward in solving diagnostic errors is by incorporating all team members, and using informatics.

International Registered Report Identifier (IRRID)

DERR1-10.2196/16047

Impact of Patient Reminders on Papanicolaou Test Completion for High-Risk Patients Identified by a Clinical Decision Support System

Background: A clinical decision support system (CDSS) for cervical cancer screening identifies patients due for routine cervical cancer screening. Yet, high-risk patients who require more frequent screening or earlier follow-up to address past abnormal results are not identified. We aimed to assess the effect of a complex CDSS, incorporating national guidelines for high-risk patient screening and abnormal result management, its implementation to identify patients overdue for testing, and the outcome of sending a targeted recommendation for follow-up.

Materials and Methods: At three primary care clinics affiliated with an academic medical center, a reminder recommending an appointment for Papanicolaou (Pap) testing or Pap and human papillomavirus cotesting was sent to high-risk women aged 18 through 65 years (intervention group) identified by CDSS as overdue for testing. Historical control patients, who did not receive a reminder, were identified by CDSS 1 year before the date when reminders were sent to the intervention group. Test completion rates were compared between the intervention and control groups through a generalized estimating equation extension.

Results: Across the three sites, the average completion rate of recommended follow-up testing was significantly higher in the intervention group at 23.7% (61/257) than the completion rate at 3.3% (17/516) in the control group (p < 0.001).

Conclusions: A CDSS with enhanced capabilities to identify high-risk women due for cervical cancer testing beyond routine screening intervals, with subsequent patient notification, has the potential to decrease cervical precancer and cancer by improving adherence to guideline-compliant follow-up and needed treatment.

Impact of GP reminders on follow-up of abnormal cervical cytology: a before-after study in Danish general practice

BACKGROUND

Dysplasia may progress because of a loss to follow-up after an abnormal cervical cytology. Approximately 18% of Danish women postpone the recommended follow-up, which depends on the cytology results.

AIM

To investigate if a reminder to the GP about missed follow-up could reduce the proportion of women who fail to act on a recommended follow-up, and to analyse the effect on sociodemographic and general practice variations.

DESIGN AND SETTING

A national electronic GP reminder system was launched in Denmark in 2012 to target missed follow-up after screening, opportunistic testing, or surveillance indication. The authors compared follow-up proportions in a national observational before-after study.

METHOD

From national registries, 1.5 million cervical cytologies (from 2009 to 2013) were eligible for inclusion. Approximately 10% had a recommendation for follow-up. The proportion of cervical cytologies without follow-up was calculated at different time points. Results were stratified by follow-up recommendations and sociodemographic characteristics, and changes in practice variation for follow-up were analysed.

RESULTS

Fewer women with a recommendation for follow-up missed follow-up 6 months after a GP reminder. Follow-up improved in all investigated sociodemographic groups (age, ethnicity, education, and cohabitation status). Interaction was found for age and cohabitation status. Variation between practices in loss to follow-up was significantly reduced.

CONCLUSION

An electronic GP reminder system showed potential to improve the quality of cervical cancer screening through reduced loss to follow-up.

Assessment of follow-up completeness and notification preferences for imaging findings of possible cancer: what happens after radiologists submit their reports?

RATIONALE AND OBJECTIVES

To understand the reasons leading to potentially inappropriate management of imaging findings concerning for malignancy and identify optimal methods for communicating these findings to providers.

MATERIALS AND METHODS

We identified all abdominal imaging examinations with findings of possible cancer performed on six randomly selected days in August to December 2013. Electronic medical records (EMR) of one patient group were reviewed 3 months after the index examination to determine whether management was appropriate (completed follow-up or documented reason for no follow-up) or potentially inappropriate (no follow-up or no documented reason). Providers of a second patient group were contacted 5-6 days after imaging examinations to determine notification preferences.

RESULTS

Among 43 patients in the first group, five (12%) received potentially inappropriate management. Reasons included patient loss to follow-up and provider failure to review imaging results, document known imaging findings, or communicate findings to providers outside the health system. Among 16 providers caring for patients in the second group, 33% were unaware of the findings, 75% preferred to be notified of abnormal findings via e-mail or EMR, 56% wanted an embedded hyperlink enabling immediate follow-up order entry, and only 25% had a system to monitor whether patients had completed ordered testing.

CONCLUSIONS

One in eight patients did not receive potentially necessary follow-up care within 3 months of imaging findings of possible cancer. Automated notification of imaging findings and follow-up monitoring not only is desired by providers but can also address many of the reasons we found for inappropriate management.

Follow-up to abnormal cancer screening tests: considering the multilevel context of care

The call for multilevel interventions to improve the quality of follow-up to abnormal cancer screening has been out for a decade, but published work emphasizes individual approaches, and conceptualizations differ regarding the definition of levels. To investigate the scope and methods being undertaken in this focused area of follow-up to abnormal tests (breast, colon, cervical), we reviewed recent literature and grants (2007-2012) funded by the National Cancer Institute. A structured search yielded 16 grants with varying definitions of "follow-up" (e.g., completion of recommended tests, time to diagnosis); most included minority racial/ethnic group participants. Ten grants concentrated on measurement/intervention development and 13 piloted or tested interventions (categories not mutually exclusive). All studies considered patient-level factors and effects. Although some directed interventions at provider levels, few measured group characteristics and effects of interventions on the providers or levels other than the patient. Multilevel interventions are being proposed, but clarity about endpoints, definition of levels, and measures is needed. The differences in the conceptualization of levels and factors that affect practice need empirical exploration, and we need to measure their salient characteristics to advance our understanding of how context affects cancer care delivery in a changing practice and policy environment.

Use of health information technology to reduce diagnostic errors

BACKGROUND

Health information technology (HIT) systems have the potential to reduce delayed, missed or incorrect diagnoses. We describe and classify the current state of diagnostic HIT and identify future research directions.

METHODS

A multi-pronged literature search was conducted using PubMed, Web of Science, backwards and forwards reference searches and contributions from domain experts. We included HIT systems evaluated in clinical and experimental settings as well as previous reviews, and excluded radiology computer-aided diagnosis, monitor alerts and alarms, and studies focused on disease staging and prognosis. Articles were organised within a conceptual framework of the diagnostic process and areas requiring further investigation were identified.

RESULTS

HIT approaches, tools and algorithms were identified and organised into 10 categories related to those assisting: (1) information gathering; (2) information organisation and display; (3) differential diagnosis generation; (4) weighing of diagnoses; (5) generation of diagnostic plan; (6) access to diagnostic reference information; (7) facilitating follow-up; (8) screening for early detection in asymptomatic patients; (9) collaborative diagnosis; and (10) facilitating diagnostic feedback to clinicians. We found many studies characterising potential interventions, but relatively few evaluating the interventions in actual clinical settings and even fewer demonstrating clinical impact.

CONCLUSIONS

Diagnostic HIT research is still in its early stages with few demonstrations of measurable clinical impact. Future efforts need to focus on: (1) improving methods and criteria for measurement of the diagnostic process using electronic data; (2) better usability and interfaces in electronic health records; (3) more meaningful incorporation of evidence-based diagnostic protocols within clinical workflows; and (4) systematic feedback of diagnostic performance.

Clinical decision support with automated text processing for cervical cancer screening

OBJECTIVE

To develop a computerized clinical decision support system (CDSS) for cervical cancer screening that can interpret free-text Papanicolaou (Pap) reports.

MATERIALS AND METHODS

The CDSS was constituted by two rulebases: the free-text rulebase for interpreting Pap reports and a guideline rulebase. The free-text rulebase was developed by analyzing a corpus of 49 293 Pap reports. The guideline rulebase was constructed using national cervical cancer screening guidelines. The CDSS accesses the electronic medical record (EMR) system to generate patient-specific recommendations. For evaluation, the screening recommendations made by the CDSS for 74 patients were reviewed by a physician.

RESULTS AND DISCUSSION

Evaluation revealed that the CDSS outputs the optimal screening recommendations for 73 out of 74 test patients and it identified two cases for gynecology referral that were missed by the physician. The CDSS aided the physician to amend recommendations in six cases. The failure case was because human papillomavirus (HPV) testing was sometimes performed separately from the Pap test and these results were reported by a laboratory system that was not queried by the CDSS. Subsequently, the CDSS was upgraded to look up the HPV results missed earlier and it generated the optimal recommendations for all 74 test cases.

LIMITATIONS

Single institution and single expert study.

CONCLUSION

An accurate CDSS system could be constructed for cervical cancer screening given the standardized reporting of Pap tests and the availability of explicit guidelines. Overall, the study demonstrates that free text in the EMR can be effectively utilized through natural language processing to develop clinical decision support tools.