Process of care failures in breast cancer diagnosis

The impact of loss to follow-up in the Dutch organised HPV-based cervical cancer screening programme

Loss to follow-up (LTFU) within cervical screening programmes can result in missed clinically relevant lesions, potentially reducing programme effectiveness. To examine the health impact of losing women during the screening process, we determined the proportion of women LTFU per step of the Dutch hrHPV-based screening programme. We then determined the probability of being LTFU by age, screening history and sampling method (self- or clinician-sampled) using logistic regression analysis. Finally, we estimated the number of missed CIN2+/3+ lesions per LTFU moment by using the CIN-risk in women compliant with follow-up. Data from the Dutch nationwide pathology databank (Palga) was used. Women eligible for screening in 2017 and 2018 were included (N = 840,428). For clinician collected (CC) samples, the highest proportion LTFU was found following 'referral advice for colposcopy' (5.5% after indirect referral; 3.8% after direct referral). For self-sampling, the highest proportions LTFU were found following the advice for repeat cytology (13.6%) and after referral advice for colposcopy (8.2% after indirect referral; 4.3% after direct referral). Self-sampling users and women with no screening history had a higher LTFU-risk (OR: 3.87, CI: 3.55-4.23; OR: 1.39, CI: 1.20-1.61) compared to women that used CC sampling and women that have been screened before, respectively. Of all women LTFU in 2017/18, the total number of potentially missed CIN2+ was 844 (21% of women LTFU). Most lesions were missed after 'direct referral for colposcopy' (N = 462, 11.5% of women LTFU). So, this indicates a gap between the screening programme and clinical care which requires further attention, by improving monitoring of patients after referral.

Predictors of treatment initiation and mapping the cancer diagnostic pathway: A retrospective observational cohort study of patients with metastatic non-small cell lung cancer

BACKGROUND

Health-care providers in the US revealed that a substantial proportion of mNSCLC patients do not receive any first-line therapy and the biggest gaps in care are time inefficiencies in the diagnostic process. The goal of this study was to determine whether such gaps are found in Israel where healthcare is universal and participation in a medical insurance plan is free and compulsory.

METHODS

We conducted a retrospective, observational cohort study using the computerized data of Maccabi Healthcare Services, a 2.5 million-member state-mandated health-service. Patients with mNSCLC diagnosed between 2017 and 2018 were followed until December 2019.

RESULTS

Among 434 patients (62% male, mean age 68 y, 74% adenocarcinoma), 345 (79%) initiated first-line treatment. Compared to treated, untreated patients (n = 89) were more likely to be older (mean [SD]=71 years [10] vs. 67 [10], p < 0.001), have a higher co-morbidity index (5.6 ([4.4] vs. 4.0 [3.4], p < 0.001), smokers (84% vs. 66%, p = 0.001), and require hospitalization in the year prior to diagnosis (80% vs 61%, p = 0.002). There was no difference in socioeconomic status. Time from first symptom to imaging was longer for untreated than treated patients (6.51 months [4.24, 7.33] vs 3.48 months [2.76, 4.34] respectively, p = 0.22). Predictors of treatment initiation included age< 70 years, non-smokers, EGFR testing performed, ECOG performance status 0-1 and shorter wait from first symptom to imaging. Median time from first symptom to initiation of 1 L, was 7.76 months (6.51-8.75).

CONCLUSION

The proportion of untreated mNSCLC patients are comparable to those reported in the US; we did not find health disparities between socioeconomic levels. Our data suggest that the main barrier to effective diagnostic process is the wait between symptom complaint and imaging.

Preventing Diagnostic Errors in Ambulatory Care: An Electronic Notification Tool for Incomplete Radiology Tests

BACKGROUND

Failure to complete recommended diagnostic tests may increase the risk of diagnostic errors.

OBJECTIVES

The aim of this study is to develop and evaluate an electronic monitoring tool that notifies the responsible clinician of incomplete imaging tests for their ambulatory patients.

METHODS

A results notification workflow engine was created at an academic medical center. It identified future appointments for imaging studies and notified the ordering physician of incomplete tests by secure email. To assess the impact of the intervention, the project team surveyed participating physicians and measured test completion rates within 90 days of the scheduled appointment. Analyses compared test completion rates among patients of intervention and usual care clinicians at baseline and follow-up. A multivariate logistic regression model was used to control for secular trends and differences between cohorts.

RESULTS

A total of 725 patients of 16 intervention physicians had 1,016 delayed imaging studies; 2,023 patients of 42 usual care clinicians had 2,697 delayed studies. In the first month, physicians indicated in 23/30 cases that they were unaware of the missed test prior to notification. The 90-day test completion rate was lower in the usual care than intervention group in the 6-month baseline period (18.8 vs. 22.1%, p = 0.119). During the 12-month follow-up period, there was a significant improvement favoring the intervention group (20.9 vs. 25.5%, p = 0.027). The change was driven by improved completion rates among patients referred for mammography (21.0 vs. 30.1%, p = 0.003). Multivariate analyses showed no significant impact of the intervention.

CONCLUSION

There was a temporal association between email alerts to physicians about missed imaging tests and improved test completion at 90 days, although baseline differences in intervention and usual care groups limited the ability to draw definitive conclusions. Research is needed to understand the potential benefits and limitations of missed test notifications to reduce the risk of delayed diagnoses, particularly in vulnerable patient populations.

Electronic Triggers to Identify Delays in Follow-Up of Mammography: Harnessing the Power of Big Data in Health Care

PURPOSE

We previously developed electronic triggers to automatically flag records for patients experiencing potential delays in diagnostic evaluation for certain cancers. Because of the unique clinical, logistic, and legal aspects of mammography, this study was conducted to evaluate the effectiveness of a trigger to flag delayed follow-up on mammography.

METHODS

An algorithm was developed to detect delays in follow-up of abnormal mammographic results (>60 days for BI-RADS^® 0, 4, and 5 and >7 months for BI-RADS 3) using clinical data in the electronic health record. Flagged records were then manually reviewed to determine the trigger's performance characteristics (positive and negative predictive value, sensitivity, and specificity). The frequency of delays and patient communication related to abnormal results, reasons for lack of follow-up, and whether patients were subsequently diagnosed with breast cancer were also assessed.

RESULTS

Of 365,686 patients seen between January 1, 2010, and May 31, 2015, the trigger identified 2,129 patients with abnormal findings on mammography, of whom it flagged 552 as having delays in follow-up. From these, review of 400 randomly selected records revealed 283 true delays (positive predictive value, 71%; 95% confidence interval, 66%-75%), including 280 records without any documented plan and three patients with plans that were not adhered to. Transcription and reporting inconsistencies were identified in 27% of externally performed mammographic reports. Only 335 records (84%) contained specific documentation that the patient was informed of the abnormal result.

CONCLUSIONS

Care delays appear to continue despite federal laws requiring patient notification of mammographic results within 30 days. Clinical application of mammography-related triggers could help detect these delays.

Working up rectal bleeding in adult primary care practices

RATIONALE, AIMS AND OBJECTIVES

Variation in the workup of rectal bleeding may result in guideline-discordant care and delayed diagnosis of colorectal cancer. Accordingly, we undertook this study to characterize primary care clinicians' initial rectal bleeding evaluation.

METHODS

We studied 438 patients at 10 adult primary care practices affiliated with three Boston, Massachusetts, academic medical centres and a multispecialty group practice, performing medical record reviews of subjects with visit codes for rectal bleeding, haemorrhoids or bloody stool. Nurse reviewers abstracted patients' sociodemographic characteristics, rectal bleeding-related symptoms and components of the rectal bleeding workup. Bivariate and multivariable logistic regression models examined factors associated with guideline-discordant workups.

RESULTS

Clinicians documented a family history of colorectal cancer or polyps at the index visit in 27% of cases and failed to document an abdominal or rectal examination in 21% and 29%. Failure to order imaging or a diagnostic procedure occurred in 32% of cases and was the only component of the workup associated with guideline-discordant care, which occurred in 27% of cases. Compared with patients at hospital-based teaching sites, patients at urban clinics or community health centres had 2.9 (95% confidence interval 1.3-6.3) times the odds of having had an incomplete workup. Network affiliation was also associated with guideline concordance.

CONCLUSION

Workup of rectal bleeding was inconsistent, incomplete and discordant with guidelines in one-quarter of cases. Research and improvements strategies are needed to understand and manage practice and provider variation.

Delayed Workup of Rectal Bleeding in Adult Primary Care: Examining Process-of-Care Failures

BACKGROUND

Although delayed colorectal cancer diagnoses figure prominently in medical malpractice claims, little is known about the quality of primary care clinicians' workup of rectal bleeding.

METHODS

In this study, 438 patients were identified using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes for rectal bleeding, hemorrhoids, and blood in the stool at 10 Boston adult primary care practices. Following nurse chart abstraction, physician reviewers assessed the overall quality of care and key care processes. Subjects' characteristics and physician reviewers' processes-of-care assessments were tabulated, and logistic regression models were used to examine the association of process failures with overall quality and guideline concordance.

RESULTS

Although reviewers judged the overall quality of care to be good or excellent in 337 (77%) of 438 cases, 312 (71%) patients experienced at least one process-of-care failure in the workup of rectal bleeding. Clinicians failed to obtain an adequate family history in 38% of cases, complete a pertinent physical exam in 23%, and order laboratory tests in 16%. Failure to order or perform tests, or to make follow-up plans were associated with increased odds of poor or fair care. Guideline concordance bore little relationship with quality judgments. Reviewers judged that 128 delays could have been reduced or prevented.

CONCLUSION

Process-of-care failures among adult primary care patients with rectal bleeding were frequent and associated with fair or poor quality. Educating practitioners and creating systems to ensure adequate history taking, physical examination, and processes for ordering, performing, and interpreting diagnostic tests may improve performance.

Breast imaging after dark: patient outcomes following evaluation for breast abscess in the emergency department after hours

In our study, we sought to report the management, clinical outcomes, and follow-up rates of patients who presented for evaluation of breast abscess in the Emergency Department (ED) after hours. A retrospective search of ultrasound reports at our institution identified all patients from January 1, 2009 to June 30, 2013 who were scanned in the ED after hours to evaluate for breast abscess. Patient demographics, clinical information, imaging findings, follow-up rates, and outcomes were reviewed. One hundred eighty-five patients were included in the study. Forty-four percent (86/185) of the patients were diagnosed with abscess based on ultrasound findings in the ED. Twenty-seven percent (23/86) were recently post-operative, and 12 % (10/86) were postpartum/breastfeeding. Mastitis was the diagnosis in the remaining 54 % (99/185). Only 1/86 cases were associated with breast cancer. Seventy-seven percent (66/86) of patients were treated with an invasive procedure; 39 % (26/66) had surgical evacuation, 30 % (20/66) image-guided drainage, 23 % (15/66) bedside or clinic incision and drainage, and 8 % (5/66) palpation-guided fine needle aspiration (FNA). Seventy-seven percent (143/185) of patients had clinical and/or imaging follow-up. Forty-four percent (63/143) had long-term follow-up (≥ 3 months). Almost 50 % of the patients who presented to the ED for evaluation of abscess were diagnosed with abscess while the remaining patients were diagnosed with mastitis. Appropriate clinical and/or imaging follow-up occurred in 77 %. Long-term follow-up (≥ 3 months) occurred more frequently in patients older than 30 years of age. Appropriate follow-up does not occur in approximately one fourth of cases, suggesting that additional clinician and patient education is warranted.

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.

The frequency of diagnostic errors in outpatient care: estimations from three large observational studies involving US adult populations

BACKGROUND

The frequency of outpatient diagnostic errors is challenging to determine due to varying error definitions and the need to review data across multiple providers and care settings over time. We estimated the frequency of diagnostic errors in the US adult population by synthesising data from three previous studies of clinic-based populations that used conceptually similar definitions of diagnostic error.

METHODS

Data sources included two previous studies that used electronic triggers, or algorithms, to detect unusual patterns of return visits after an initial primary care visit or lack of follow-up of abnormal clinical findings related to colorectal cancer, both suggestive of diagnostic errors. A third study examined consecutive cases of lung cancer. In all three studies, diagnostic errors were confirmed through chart review and defined as missed opportunities to make a timely or correct diagnosis based on available evidence. We extrapolated the frequency of diagnostic error obtained from our studies to the US adult population, using the primary care study to estimate rates of diagnostic error for acute conditions (and exacerbations of existing conditions) and the two cancer studies to conservatively estimate rates of missed diagnosis of colorectal and lung cancer (as proxies for other serious chronic conditions).

RESULTS

Combining estimates from the three studies yielded a rate of outpatient diagnostic errors of 5.08%, or approximately 12 million US adults every year. Based upon previous work, we estimate that about half of these errors could potentially be harmful.

CONCLUSIONS

Our population-based estimate suggests that diagnostic errors affect at least 1 in 20 US adults. This foundational evidence should encourage policymakers, healthcare organisations and researchers to start measuring and reducing diagnostic errors.

Cognitive errors and logistical breakdowns contributing to missed and delayed diagnoses of breast and colorectal cancers: a process analysis of closed malpractice claims

PURPOSE

To erform a process analysis of missed and delayed diagnoses of breast and colorectal cancers to identify: (1) the cognitive and logistical factors that lead to these diagnostic errors, and (2) prevention strategies.

METHODS

Using 56 cases (43 breast, 13 colon) of missed and delayed diagnosis, we performed structured analyses to identify specific points in the diagnostic process in which errors occurred. Each error was classified as either a cognitive error or logistical breakdown. Finally, two physician-investigators identified strategies to prevent the errors in each case.

RESULTS

Virtually all cases involved one or more cognitive errors (53/56, 95 %) and approximately half (31/56, 55 %) involved logistical breakdowns. The clinical activity most prone to cognitive error was the selection of the diagnostic strategy, both during the office visit (25/56, 45 %) and during interpretation of test results (22/50, 44 %). Arrangement of follow-up visits with a primary care physician (8/29, 28 %) or specialist physician (7/29, 26 %) were especially prone to logistical breakdowns. Adherence to current clinical guidelines could have prevented at least one error in 66 % of cases and assistance from a patient advocate could have prevented at least one error in 48 % of cases.

CONCLUSIONS

Cognitive errors and logistical breakdowns are common among missed and delayed diagnoses of breast and colorectal cancers. Prevention strategies should focus on ensuring improving the effectiveness and use of clinical guidelines in the selection of diagnostic strategy, both during office visits and when interpreting test results. Tools to facilitate communication and to ensure that follow-up visits occur should also be considered.

Bridging the digital divide in health care: the role of health information technology in addressing racial and ethnic disparities

BACKGROUND

Racial and ethnic disparities in health care have been consistently documented in the diagnosis, treatment, and outcomes of many common clinical conditions. There has been an acceleration of health information technology (HIT) implementation in the United States, with health care reform legislation including multiple provisions for collecting and using health information to improve and monitor quality and efficiency in health care. Despite an uneven and generally low level of implementation, research has demonstrated that HIT has the potential to improve quality of care and patient safety. If carefully designed and implemented, HIT also has the potential to eliminate disparities.

HIT AND DISPARITIES

Several root causes for disparities are amenable to interventions using HIT, particularly innovations in electronic health records, as well as strategies for chronic disease management. Recommendations regardinghealth care system, provider, and patient factors can help health care organizations address disparities as they adopt, expand, and tailor their HIT systems. In terms of health care system factors, organizations should (1) automate and standardize the collection of race/ethnicity and language data, (2) prioritize the use of the data for identifying disparities and tailoring improvement efforts, (3) focus HIT efforts to address fragmented care delivery for racial/ethnic minorities and limited-English-proficiency patients, (4) develop focused computerized clinical decision support systems for clinical areas with significant disparities, and (5) include input from racial/ethnic minorities and those with limited English proficiency in developing patient HIT tools to address the digital divide.

CONCLUSIONS

As investments are made in HIT, consideration must be given to the impact that these innovations have on the quality and cost of health care for all patients, including those who experience disparities.

Mammography result notification letters: are they easy to read and understand?

BACKGROUND

Federal law mandates that mammography centers notify women of their result in writing. The purpose of this study is to assess the readability and ease of use of the sample letters provided as a template for the notification letters centers send to patients.

METHODS

This is a cross-sectional analysis of the 43 mammography result notification template letters available from the American College of Radiology and two leading transcription software services. To assess readability, we used the Flesch-Kincaid grade level scale and the Lexile framework. To assess document suitability, we used the Suitability Assessment of Materials (SAM). Acceptable scores were based on established standards: ≤6th grade for the Flesch-Kincaid level, ≤900 for the Lexile analysis, and ≥40% on the SAM scale. Means, standard deviations (SDs), and ranges were calculated by diagnostic category, as indicated by BI-RADS level. The Kruskal-Wallis test was used to assess differences in readability and suitability by diagnostic category.

RESULTS

The Flesch Kincaid score ranged from 7.7 to 13.5, with a mean of 10.2. The Lexile score ranged from 880 to 1270, with a mean of 1113. The mean SAM score ranged from 16% to 36%, with a mean of 29%. Mean grade level, Lexile score, and SAM score did not vary significantly by diagnostic category. No single document had an acceptable suitability score, and only two had acceptable Lexile scores. Common deficiencies included use of the passive voice, vague wording, and technical jargon.

CONCLUSIONS

The letters we analyzed were written at levels too difficult for many patients to understand. Future investigations should explore clearer ways of communicating mammography results.

Characteristics and predictors of missed opportunities in lung cancer diagnosis: an electronic health record-based study

PURPOSE

Understanding delays in cancer diagnosis requires detailed information about timely recognition and follow-up of signs and symptoms. This information has been difficult to ascertain from paper-based records. We used an integrated electronic health record (EHR) to identify characteristics and predictors of missed opportunities for earlier diagnosis of lung cancer.

METHODS

Using a retrospective cohort design, we evaluated 587 patients of primary lung cancer at two tertiary care facilities. Two physicians independently reviewed each case, and disagreements were resolved by consensus. Type I missed opportunities were defined as failure to recognize predefined clinical clues (ie, no documented follow-up) within 7 days. Type II missed opportunities were defined as failure to complete a requested follow-up action within 30 days.

RESULTS

Reviewers identified missed opportunities in 222 (37.8%) of 587 patients. Median time to diagnosis in cases with and without missed opportunities was 132 days and 19 days, respectively (P < .001). Abnormal chest x-ray was the clue most frequently associated with type I missed opportunities (62%). Follow-up on abnormal chest x-ray (odds ratio [OR], 2.07; 95% CI, 1.04 to 4.13) and completion of first needle biopsy (OR, 3.02; 95% CI, 1.76 to 5.18) were associated with type II missed opportunities. Patient adherence contributed to 44% of patients with missed opportunities.

CONCLUSION

Preventable delays in lung cancer diagnosis arose mostly from failure to recognize documented abnormal imaging results and failure to complete key diagnostic procedures in a timely manner. Potential solutions include EHR-based strategies to improve recognition of abnormal imaging and track patients with suspected cancers.

Organizational factors and the cancer screening process

Cancer screening is a process of care consisting of several steps and interfaces. This article reviews what is known about the association between organizational factors and cancer screening rates and examines how organizational strategies can address the steps and interfaces of cancer screening in the context of both intraorganizational and interorganizational processes. We reviewed 79 studies assessing the relationship between organizational factors and cancer screening. Screening rates are largely driven by strategies to 1) limit the number of interfaces across organizational boundaries; 2) recruit patients, promote referrals, and facilitate appointment scheduling; and 3) promote continuous patient care. Optimal screening rates can be achieved when health-care organizations tailor strategies to the steps and interfaces in the cancer screening process that are most critical for their organizations, the providers who work within them, and the patients they serve.