Missed diagnosis of cancer in primary care: Insights from malpractice claims data

Typology of solutions addressing diagnostic disparities: gaps and opportunities

OBJECTIVES

Diagnostic disparities are preventable differences in diagnostic errors or opportunities to achieve diagnostic excellence. There is a need to summarize solutions with explicit considerations for addressing diagnostic disparities. We aimed to describe potential solutions to diagnostic disparities, organize them into an action-oriented typology with illustrative examples, and characterize these solutions to identify gaps for their further development.

METHODS

During four human-centered design workshops composed of diverse expertise, participants ideated and clarified potential solutions to diagnostic disparities and were supported by environmental literature scan inputs. Nineteen individual semi-structured interviews with workshop participants validated identified solution examples and solution type characterizations, refining the typology.

RESULTS

Our typology organizes 21 various types of potential diagnostic disparities solutions into four primary expertise categories needed for implementation: healthcare systems' internal expertise, educator-, multidisciplinary patient safety researcher-, and health IT-expertise. We provide descriptions of potential solution types ideated as focused on disparities and compare those to existing examples. Six types were characterized as having diagnostic-disparity-focused examples, five as having diagnostic-focused examples, and 10 as only having general healthcare examples. Only three solution types had widespread implementation. Twelve had implementation on limited scope, and six were mostly hypothetical. We describe gaps that inform the progress needed for each of the suggested solution types to specifically address diagnostic disparities and be suitable for the implementation in routine practice.

CONCLUSIONS

Numerous opportunities exist to tailor existing solutions and promote their implementation. Likely enablers include new perspectives, more evidence, multidisciplinary collaborations, system redesign, meaningful patient engagement, and action-oriented coalitions.

Reducing the Risk of Delayed Colorectal Cancer Diagnoses Through an Ambulatory Safety Net Collaborative

BACKGROUND

An estimated 12 million adults in the United States experience delayed diagnoses and other diagnostic errors annually. Ambulatory safety nets (ASNs) are an intervention to reduce delayed diagnoses by identifying patients with abnormal results overdue for follow-up using registries, workflow redesign, and patient navigation. The authors sought to co-design a collaborative and implement colorectal cancer (CRC) ASNs across various health care settings.

METHODS

A working group was convened to co-design implementation guidance, measures, and the collaborative model. Collaborative sites were recruited through a medical professional liability insurance program and chose to begin with developing an ASN for positive at-home CRC screening or overdue surveillance colonoscopy. The 18-month Breakthrough Series Collaborative ran from January 2022 to July 2023, with sites continuing to collect data while sustaining their ASNs. Data were collected from sites monthly on patients in the ASN, including the proportion that was successfully contacted, scheduled, and completed a follow-up colonoscopy.

RESULTS

Six sites participated; four had an operational ASN at the end of the Breakthrough Series, with the remaining sites launching three months later. From October 2022 through February 2024, the Collaborative ASNs collectively identified 5,165 patients from the registry as needing outreach. Among patients needing outreach, 3,555 (68.8%) were successfully contacted, 2,060 (39.9%) were scheduled for a colonoscopy, and 1,504 (29.1%) completed their colonoscopy.

CONCLUSION

The Collaborative successfully identified patients with previously abnormal CRC screening and facilitated completion of follow-up testing. The CRC ASN Implementation Guide offers a comprehensive road map for health care leaders interested in implementing CRC ASNs.

Human centered design workshops as a meta-solution to diagnostic disparities

OBJECTIVES

Diagnostic errors - inaccurate or untimely diagnoses or failures to communicate diagnoses - are harmful and costly for patients and health systems. Diagnostic disparities occur when diagnostic errors are experienced at disproportionate rates by certain patient subgroups based, for example, on patients' age, sex/gender, or race/ethnicity. We aimed to develop and test the feasibility of a human centered design workshop series that engages diverse stakeholders to develop solutions for mitigating diagnostic disparities.

METHODS

We employed a series of human centered design workshops supplemented by semi-structured interviews and literature evidence scans. Co-creation sessions and rapid prototyping by patient, clinician, and researcher stakeholders were used to generate design challenges, solution concepts, and prototypes.

RESULTS

A series of four workshops attended by 25 unique participants was convened in 2019-2021. Workshops generated eight design challenges, envisioned 29 solutions, and formulated principles for developing solutions in an equitable, patient-centered manner. Workshops further resulted in the conceptualization of 37 solutions for addressing diagnostic disparities and prototypes for two of the solutions. Participants agreed that the workshop processes were replicable and could be implemented in other settings to allow stakeholders to generate context-specific solutions.

CONCLUSIONS

The incorporation of human centered design through a series of workshops promises to be a productive way of engaging patient-researcher stakeholders to mitigate and prevent further exacerbation of diagnostic disparities. Healthcare stakeholders can apply human centered design principles to guide thinking about improving diagnostic performance and to center diverse patients' needs and experiences when implementing quality and safety improvements.

Wearable smart devices in cancer diagnosis and remote clinical trial monitoring: Transforming the healthcare applications

During the past two decades, the era of digitalization in pharmaceutical device manufacturing has gained significant momentum for maintaining human health. From various available technologies, internet of things (IoT) sensors are being increasingly used as wearable devices (e.g., smart watches, wrist bands, mobile phones, tablets, implantable pumps, etc.) that enable real-time monitoring of data. Such devices are integrated with smart materials that typically monitor the real-time data (blood pressure, blood sugar, heart and pulse rate, cytokine levels, etc.) to advise patients and physicians. Hence, there has been a great demand for wearable devices as potential tools for remote clinical trial monitoring in cancers and other diseases and they are proving to be very cost-effective.

Concordance with urgent referral guidelines in patients presenting with any of six 'alarm' features of possible cancer: a retrospective cohort study using linked primary care records

BACKGROUND

Clinical guidelines advise GPs in England which patients warrant an urgent referral for suspected cancer. This study assessed how often GPs follow the guidelines, whether certain patients are less likely to be referred, and how many patients were diagnosed with cancer within 1 year of non-referral.

METHODS

We used linked primary care (Clinical Practice Research Datalink), secondary care (Hospital Episode Statistics) and cancer registration data. Patients presenting with haematuria, breast lump, dysphagia, iron-deficiency anaemia, post-menopausal or rectal bleeding for the first time during 2014-2015 were included (for ages where guidelines recommend urgent referral). Logistic regression was used to investigate whether receiving a referral was associated with feature type and patient characteristics. Cancer incidence (based on recorded diagnoses in cancer registry data within 1 year of presentation) was compared between those receiving and those not receiving referrals.

RESULTS

48 715 patients were included, of which 40% (n=19 670) received an urgent referral within 14 days of presentation, varying by feature from 17% (dysphagia) to 68% (breast lump). Young patients (18-24 vs 55-64 years; adjusted OR 0.20, 95% CI 0.10 to 0.42, p<0.001) and those with comorbidities (4 vs 0 comorbidities; adjusted OR 0.87, 95% CI 0.80 to 0.94, p<0.001) were less likely to receive a referral. Associations between patient characteristics and referrals differed across features: among patients presenting with anaemia, breast lump or haematuria, those with multi-morbidity, and additionally for breast lump, more deprived patients were less likely to receive a referral. Of 29 045 patients not receiving a referral, 3.6% (1047) were diagnosed with cancer within 1 year, ranging from 2.8% for rectal bleeding to 9.5% for anaemia.

CONCLUSIONS

Guideline recommendations for action are not followed for the majority of patients presenting with common possible cancer features. A significant number of these patients developed cancer within 1 year of their consultation, indicating scope for improvement in the diagnostic process.

Atypical Presentation of Interval Colorectal Cancer/Post-Colonoscopy Colorectal Cancer in a Nursing Home Patient

The Centers for Disease Control and Prevention estimates that there are around 1.7 million beds in certified nursing homes across the United States and approximately 1.3 million residents in long-term and end-of-life care. There could be several factors causing a delayed recovery in such patients, such as decreased ambulation, multiple comorbidities, and polypharmacy.

An 83-year-old Caucasian woman sustained a fall resulting in compression fractures of the thoracic and lumbar spine. She had multiple comorbidities, including anemia of chronic disease, malnutrition, and a significant weight loss of 30 lbs over the four months prior to hospitalization. She was on antihypertensives, antidepressants, vitamin D, and calcium supplementation. Her medical history was significant for constipation with the passage of stools once in three days. Her family history was significant for colorectal cancer (CRC) and her screening colonoscopy three years ago was normal. Physical examination revealed no abdominal tenderness or distention. Subsequently, she developed edema in the left lower extremity. She underwent a venous Doppler/ultrasound study, which showed an occlusive thrombus from the common femoral vein to the popliteal vein. She was started on anticoagulants and supportive therapy. Four months later, while at the nursing home, she developed bloating and flatulence, in addition to pre-existing constipation. Examination revealed a 6 x 7 cm mass in the right lower quadrant without peritoneal signs. Bowel sounds were significantly decreased. CT imaging showed a 6-cm diameter cecal mass. The tumor was a low-grade 4 x 9 cm T4N0M0 cecal cancer, and she underwent placement of a Greenfield filter and subsequent hemicolectomy. She had methicillin-resistant Staphylococcus aureus infection and right upper extremity deep vein thrombosis (DVT), urinary tract infection, Clostridium difficile colitis, and depression, all managed successfully and without sequelae in the post-operative period. Treatment on discharge comprised Coumadin maintenance for nine months with an international normalized ratio goal of 2-3, a back brace, antidepressants, and antihypertensive medications. She received follow-up care at home.

Maintaining a high degree of suspicion for new and persistent symptoms in the elderly is essential to identify the underlying cause. One of the leading causes of post-colonoscopy CRC is a missed lesion. Careful attention to all cases of anemia as well as DVT in the elderly is also imperative to diagnose such missed cases. Future research should focus on the methods of CRC diagnosis in elderly patients with comorbidities apart from using colonoscopy alone.

Role of primary care physician factors on diagnostic testing and referral decisions for symptoms of possible cancer: a systematic review

BACKGROUND

Missed opportunities for diagnosing cancer cause patients harm and have been attributed to suboptimal use of tests and referral pathways in primary care. Primary care physician (PCP) factors have been suggested to affect decisions to investigate cancer, but their influence is poorly understood.

OBJECTIVE

To synthesise evidence evaluating the influence of PCP factors on decisions to investigate symptoms of possible cancer.

METHODS

We searched MEDLINE, Embase, Scopus, CINAHL and PsycINFO between January 1990 and March 2021 for relevant citations. Studies examining the effect or perceptions and experiences of PCP factors on use of tests and referrals for symptomatic patients with any cancer were included. PCP factors comprised personal characteristics and attributes of physicians in clinical practice.

DATA EXTRACTION AND SYNTHESIS

Critical appraisal and data extraction were undertaken independently by two authors. Due to study heterogeneity, data could not be statistically pooled. We, therefore, performed a narrative synthesis.

RESULTS

29 studies were included. Most studies were conducted in European countries. A total of 11 PCP factors were identified comprising modifiable and non-modifiable factors. Clinical judgement of symptoms as suspicious or 'alarm' prompted more investigations than non-alarm symptoms. 'Gut feeling' predicted a subsequent cancer diagnosis and was perceived to facilitate decisions to investigate non-specific symptoms as PCP experience increased. Female PCPs investigated cancer more than male PCPs. The effect of PCP age and years of experience on testing and referral decisions was inconclusive.

CONCLUSIONS

PCP interpretation of symptoms as higher risk facilitated testing and referral decisions for possible cancer. However, in the absence of 'alarm' symptoms or 'gut feeling', PCPs may not investigate cancer. PCPs require strategies for identifying patients with non-alarm and non-specific symptoms who need testing or referral.

PROSPERO REGISTRATION NUMBER

CRD420191560515.

Quantifying and controlling bond multivalency for advanced nanoparticle targeting to cells

Nanoparticles have drawn intense interest as delivery agents for diagnosing and treating various cancers. Much of the early success was driven by passive targeting mechanisms such as the enhanced permeability and retention (EPR) effect, but this has failed to lead to the expected clinical successes. Active targeting involves binding interactions between the nanoparticle and cancer cells, which promotes tumor cell-specific accumulation and internalization. Furthermore, nanoparticles are large enough to facilitate multiple bond formation, which can improve adhesive properties substantially in comparison to the single bond case. While multivalent binding is universally believed to be an attribute of nanoparticles, it is a complex process that is still poorly understood and difficult to control. In this review, we will first discuss experimental studies that have elucidated roles for parameters such as nanoparticle size and shape, targeting ligand and target receptor densities, and monovalent binding kinetics on multivalent nanoparticle adhesion efficiency and cellular internalization. Although such experimental studies are very insightful, information is limited and confounded by numerous differences across experimental systems. Thus, we focus the second part of the review on theoretical aspects of binding, including kinetics, biomechanics, and transport physics. Finally, we discuss various computational and simulation studies of nanoparticle adhesion, including advanced treatments that compare directly to experimental results. Future work will ideally continue to combine experimental data and advanced computational studies to extend our knowledge of multivalent adhesion, as well as design the most powerful nanoparticle-based agents to treat cancer.

Regional and social inequalities in mammography and Papanicolaou tests in Brazilian state capitals in 2019: a cross-sectional study

OBJECTIVE

To assess regional and social inequalities in mammography and Papanicolaou tests.

METHODS

This was a cross-sectional study with data from the 2019 Chronic Disease Risk and Protective Factors Surveillance Telephone Survey (Vigitel). The outcome variables were mammography and cytopathology test. The exposure variables were race/skin color, schooling and region of residence in Brazil. Absolute inequality measurements were presented using the slope index of inequality (SII) and equiplots.

RESULTS

23,339 women were included in this study. Having a mammography was 5.2 percentage points higher in women with higher levels of education, while having a cytopathology test was 5.3 percentage points lower in women of Black race/skin color.Having mammography and cytopathology tests was 3.9 and 11.2 percentage points higher, respectively, in the Southern region.

CONCLUSION

Social and regional inequalities persist in Brazil and affect mainly women of Black race/skin color, with low education levels and living in the Northeast region of the country.

Ewing Sarcoma Misdiagnosed as a Traumatic Hematoma: A Case from Family Practice

Patient: Female, 13-year-old

Final Diagnosis: Ewing sarcoma

Symptoms: Swelling

Medication:—

Clinical Procedure: —

Specialty: Family Medicine

RADAR: A Closed-Loop Quality Improvement Initiative Leveraging A Safety Net Model for Incidental Pulmonary Nodule Management

BACKGROUND

This study was conducted to assess whether patients with incidental pulmonary nodules (IPNs) received timely follow-up care after implementation of a quality improvement (QI) initiative between radiologists and primary care providers (PCPs).

METHODS

A QI study was conducted at an academic medical center for IPNs identified on chest imaging ordered by PCPs, performed between February 1, 2017, and March 31, 2019, and with at least one-year follow-up. A QI initiative, RADAR (Radiology Result Alert and Development of Automated Resolution), was implemented on March 1, 2018, consisting of (1) a novel, electronic communication tool enabling radiologist-generated alerts with time frame and modality for IPN follow-up recommendations, and (2) a safety net team for centralized care coordination to ensure that communication loops were closed. A preintervention IPN cohort was generated through a natural language processing (NLP) algorithm for radiology reports paired with manual chart review. A postintervention IPN cohort was identified using alerts captured in RADAR. The primary outcome was percentage of IPN follow-up alerts resolved on time (defined as receiving follow-up care within the recommended time frame), comparing pre- and postintervention IPN cohorts. Secondary outcomes included agreement between PCPs and radiologists on the recommended follow-up care plan.

RESULTS

A total of 218 IPN alerts were assessed following exclusions: 110 preintervention and 108 postintervention. IPN timely follow-up improved from 64.5% (71/110) to 84.3% (91/108) (p = 0.001). Postintervention, there was 87.0% (94/108) agreement between PCPs and radiologists on the recommended follow-up plan.

CONCLUSION

The RADAR QI initiative was associated with increased timely IPN follow-up. This safety net model may be scaled to other radiology findings and clinical care settings.