Patient and primary care delays in the diagnostic pathway of gynaecological cancers: a systematic review of influencing factors

Time to Diagnosis and Treatment for Ovarian Cancer and Associations with Outcomes: A Systematic Review

Background: Ovarian cancer is commonly diagnosed symptomatically at an advanced stage. Better survival for early disease suggests improving diagnostic pathways may increase survival. This study examines literature assessing diagnostic intervals and their association with clinical and psychological outcomes. Methods: Medline, EMBASE, and EmCare databases were searched for studies including quantitative measures of at least one interval, published between January 1, 2000 and August 9, 2022. Interval measures and associations (interval, outcomes, analytic strategy) were synthesized. Risk of bias of association studies was assessed using the Aarhus Checklist and ROBINS-E tool. Results: In total, 65 papers (20 association studies) were included and 26 unique intervals were identified. Interval estimates varied widely and were impacted by summary statistic used (mean or median) and group focused on. Of Aarhus-defined intervals, patient (symptom to presentation, n = 23; range [median]: 7-168 days) and diagnostic (presentation to diagnosis, n = 22; range [median]: 7-270 days) were most common. Nineteen association studies examined survival or stage outcomes with most, including five low risk-of-bias studies, finding no association. Conclusions: Studies reporting intervals for ovarian cancer diagnosis are limited by inconsistent definitions and reporting. Greater utilization of the Aarhus statement to define intervals and appropriate analytic methods is needed to strengthen findings from future studies.

Where are the inequalities in ovarian cancer care in a country with universal healthcare? A systematic review and narrative synthesis

INTRODUCTION

Patients diagnosed with ovarian cancer from more deprived areas may face barriers to accessing timely, quality healthcare. We evaluated the literature for any association between socioeconomic group, treatments received and hospital delay among patients diagnosed with ovarian cancer in the United Kingdom, a country with universal healthcare.

METHODS

We searched MEDLINE, EMBASE, CINAHL, CENTRAL, SCIE, AMED, PsycINFO and HMIC from inception to January 2023. Forward and backward citation searches were conducted. Two reviewers independently reviewed titles, abstracts, and full-text articles. UK-based studies were included if they reported socioeconomic measures and an association with either treatments received or hospital delay. The inclusion of studies from one country ensured greater comparability. Risk of bias was assessed using the QUIPS tool, and a narrative synthesis was conducted. The review is reported to PRISMA 2020 and registered with PROSPERO [CRD42022332071].

RESULTS

Out of 2876 references screened, ten were included. Eight studies evaluated treatments received, and two evaluated hospital delays. We consistently observed socioeconomic inequalities in the likelihood of surgery (range of odds ratios 0.24-0.99) and chemotherapy (range of odds ratios 0.70-0.99) among patients from the most, compared with the least, deprived areas. There were no associations between socioeconomic groups and hospital delay.

POLICY SUMMARY

Ovarian cancer treatments differed between socioeconomic groups despite the availability of universal healthcare. Further research is needed to understand why, though suggested reasons include patient choice, health literacy, and financial and employment factors. Qualitative research would provide a rich understanding of the complex factors that drive these inequalities.

What causes delays in diagnosing blood cancers? A rapid review of the evidence

OBJECTIVE

We undertook a rapid review of literature relating to the diagnosis of blood cancers, to find out what factors contribute to delays in diagnosis, including symptom recognition, appraisal and help-seeking behaviours.

METHODS

We used rapid review methodology following Tricco et al. to synthesise current literature from two electronic databases. We searched for studies about symptom appraisal help-seeking for all blood cancers published between 2001 and 2021, written in English.

RESULTS

Fifteen studies were included in the review, of which 10 were published in the United Kingdom. We found a number of factors associated with delays in blood cancer diagnosis. These included patient factors such as gender, age and ethnicity, as well as health system factors such as poor communication and seeing a locum clinician in primary care. A narrative synthesis of the evidence produced four types of symptom interpretation by patients: (1) symptoms compatible with normal state of health, (2) event-linked problems, (3) mild or chronic illness and (4) non-specific unwell state. These four interpretations were linked to different help-seeking behaviours. After seeking help, patients often experienced delays due to healthcare professionals' (HCPs') non-serious interpretation of symptoms, misleading blood tests, discontinuity of care and other barriers in the diagnostic pathway.

CONCLUSION

Blood cancers are difficult to diagnose due to non-specific heterogeneous symptoms, and this is reflected in how those symptoms are interpreted by patients and managed by HCPs. It is important to understand how different interpretations affect delays in help-seeking, and what HCPs can do to support timely follow-up for patients.

Diagnostic delay in adult inflammatory bowel disease: A systematic review

BACKGROUND

The extent of diagnostic delay in inflammatory bowel disease (IBD) is incompletely understood. We aimed to understand the extent of diagnostic delay of IBD in adults and identify associations between patient or healthcare characteristics and length of delay.

METHODS

Articles were sourced from EMBASE, Medline and CINAHL from inception to April 2021. Inclusion criteria were adult cohorts (18 ≥ years old) reporting median time periods between onset of symptoms for Crohn's disease (CD), ulcerative colitis (UC) or IBD (i.e. CD and UC together) and a final diagnosis (diagnostic delay). Narrative synthesis was used to examine the extent of diagnostic delay and characteristics associated with delay. Sensitivity analysis was applied by the removal of outliers.

RESULTS

Thirty-one articles reporting median diagnostic delay for IBD, CD or UC were included. After sensitivity analysis, the majority of IBD studies (7 of 8) reported a median delay of between 2 and 5.3 months. From the studies examining median delay in UC, three-quarters (12 of 16) reported a delay between 2 and 6 months. In contrast, three-quarters of the CD studies (17 of 23) reported a delay of between 2 and 12 months. No characteristic had been examined enough to understand their role in diagnostic delay in these populations.

CONCLUSIONS

This systematic review provides robust insight into the extent of diagnostic delay in IBD and suggests further intervention is needed to reduce delay in CD particularly. Furthermore, our findings provide a benchmark value range for diagnostic delay, which such future work can be measured against.

A Comprehensive Review of the Role of Artificial Intelligence in Obstetrics and Gynecology

The exponential growth of artificial intelligence (AI) has fascinated its application in various fields and so in the field of healthcare. Technological advancements in theories and learning algorithms and the availability of processing through huge datasets have created a breakthrough in the medical field with computing systems. AI can potentially drive clinicians and practitioners with appropriate decisions in managing cases and reaching a diagnosis, so its application is extensively spread in the medical field. Thus, computerized algorithms have made predictions so simple and accurate. This is because AI can proffer information accurately even to many patients. Furthermore, the subsets of AI, namely, machine learning (ML) and deep learning (DL) methods, have aided in detecting complex patterns from huge datasets and using such patterns in making predictions. Despite numerous challenges, AI implementation in obstetrics and gynecology is found to have a spellbound development. Therefore, this review propounds exploring the implementation of AI in obstetrics and gynecology to improve the outcomes and clinical experience. In that context, the evolution and progress of AI, the role of AI in ultrasound diagnosis in distinct phases of pregnancy, clinical benefits, preterm birth postpartum period, and applications of AI in gynecology are elucidated in this review with future recommendations.

Pathways to diagnosis of endometrial and ovarian cancer in the 45 and Up Study cohort

PURPOSE

To determine pathways to endometrial or ovarian cancer diagnosis by comparing health service utilization between cancer cases and matched cancer-free controls, using linked health records.

METHODS

From cancer registry records, we identified 238 incident endometrial and 167 ovarian cancer cases diagnosed during 2006-2013 in the Australian 45 and Up Study cohort (142,973 female participants). Each case was matched to four cancer-free controls on birthdate, sex, place of residence, smoking status, and body mass index. The use of relevant health services during the 13-18-, 7-12-, 0-6-, and 0-1-months pre-diagnosis for cases and the corresponding dates for their matched controls was determined through linkage with subsidized medical services and hospital records.

RESULTS

Healthcare utilization diverged between women with cancer and controls in the 0-6-months, particularly 0-1 months, pre-diagnosis. In the 0-1 months, 74.8% of endometrial and 50.3% of ovarian cases visited a gynecologist/gynecological oncologist, 11.3% and 59.3% had a CA125 test, 5.5% and 48.5% an abdominal pelvic CT scan, and 34.5% and 30.5% a transvaginal pelvic ultrasound, respectively (versus ≤ 1% of matched controls). Moreover, 25.1% of ovarian cancer cases visited an emergency department in the 0-1-months pre-diagnosis (versus 1.3% of matched controls), and GP visits were significantly more common for cases than controls in this period.

CONCLUSION

Most women with endometrial or ovarian cancer accessed recommended specialists and tests in the 0-1-months pre-diagnosis, but a high proportion of women with ovarian cancer visited an emergency department. This reinforces the importance of timely specialist referral.

Assessing Ethnic Inequalities in Diagnostic Interval of Common Cancers: A Population-Based UK Cohort Study

BACKGROUND

This study investigated ethnic differences in diagnostic interval (DI)-the period between initial primary care presentation and diagnosis.

METHODS

We analysed the primary care-linked data of patients who reported features of seven cancers (breast, lung, prostate, colorectal, oesophagogastric, myeloma, and ovarian) one year before diagnosis. Accelerated failure time (AFT) models investigated the association between DI and ethnicity, adjusting for age, sex, deprivation, and morbidity.

RESULTS

Of 126,627 eligible participants, 92.1% were White, 1.99% Black, 1.71% Asian, 1.83% Mixed, and 2.36% were of Other ethnic backgrounds. Considering all cancer sites combined, the median (interquartile range) DI was 55 (20-175) days, longest in lung [127, (42-265) days], and shortest in breast cancer [13 (13, 8-18) days]. DI for the Black and Asian groups was 10% (AFT ratio, 95%CI 1.10, 1.05-1.14) and 16% (1.16, 1.10-1.22), respectively, longer than for the White group. Site-specific analyses revealed evidence of longer DI in Asian and Black patients with prostate, colorectal, and oesophagogastric cancer, plus Black patients with breast cancer and myeloma, and the Mixed group with lung cancer compared with White patients. DI was shorter for the Other group with lung, prostate, myeloma, and oesophagogastric cancer than the White group.

CONCLUSION

We found limited and inconsistent evidence of ethnic differences in DI among patients who reported cancer features in primary care before diagnosis. Our findings suggest that inequalities in diagnostic intervals, where present, are unlikely to be the sole explanation for ethnic variations in cancer outcomes.

Quality Requirements for gynecological ultrasound examinations of DEGUM level II - Recommendations of the Sections/Working Groups Gynecology and Obstetrics of DEGUM, ÖGUM and SGUM

Gynecological sonography is the central and most frequently used technical examination method used by gynecologists. Its focus is on the clarification of masses of the uterus and the adnexa, fertility diagnosis, clarification of bleeding disorders and chronic and acute pelvic problems, pelvic floor and incontinence diagnosis as well as the differential diagnosis of disturbed early pregnancy. The indication for diagnostic and therapeutic interventions, preoperative planning and postoperative controls are largely based on the findings of gynecological sonography. These examinations are particularly dependent on the experience of the examiner.Based on the proven multi-stage concept of obstetric diagnostics, gynecological sonography should primarily be performed by an experienced and specialized examiner in patients for whom the initial gynecological examinations have not yet led to a sufficient assessment of the findings. So that the expert status required for this has an objective basis, the Gynecology and Obstetrics Section of DEGUM in cooperation with ÖGUM and SGUM implemented the option of acquiring DEGUM Level II for gynecological sonography. The effectiveness of the care in the multi-level concept depends on the quality of the ultrasound examination at level I. Quality requirements for the basic examination and the differentiation between the basic and further examination have therefore already been defined by DEGUM/ÖGUM. The present work is intended to set out quality requirements for gynecological sonography of DEGUM level II and for the correspondingly certified gynecologists.Common pathologies from gynecological sonography and requirements for imaging and documentation are described.

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.

Is concern for gynaecological alarm symptoms associated with healthcare-seeking? A Danish population-based cross-sectional study

Background

Diagnosing cancer at an early stage increases survival, and for most gynaecological cancers the diagnostic pathway is initiated, when women seek medical attention with symptoms. As many factors influence healthcare-seeking, knowledge about these factors is important. Concern can act as a barrier or a trigger for women experiencing gynaecological alarm symptoms. This study aimed to examine whether concern for the symptom or the current health was associated with healthcare-seeking among women with gynaecological alarm symptoms.

Methods

Some 100,000 randomly selected Danish citizens were invited to a national web-based survey. The questionnaire included items regarding symptom experiences, healthcare-seeking and concern for the experienced symptoms and current health. This study included 5019 women with self-reported gynaecological alarm symptoms (pelvic pain, pain during intercourse, bleeding during intercourse and postmenopausal bleeding). Concern was reported on a 5-point Likert scale from ‘not at all’ to ‘extremely’. Data were analysed using multivariate logistic regression models.

Results

Women who were ‘extremely’ concerned about a gynaecological alarm symptom had two to six times higher odds of reporting healthcare-seeking compared to women who were ‘not at all’ concerned. Symptom concern was associated with higher odds of healthcare-seeking for all four gynaecological alarm symptoms and the odds increased with increasing levels of concern. Additionally, concern for current health was associated with higher odds of healthcare-seeking. Concern for current health as expressed by others was positively associated with healthcare-seeking but had only minor influence on the association between concern for current health and healthcare-seeking.

Conclusions

Concern for a gynaecological alarm symptom and for current health was positively associated with healthcare-seeking. The results can be used for future informational health campaigns targeting individuals at risk of postponing warranted healthcare-seeking.

What Contributes to Diagnostic Error or Delay? A Qualitative Exploration Across Diverse Acute Care Settings in the United States

OBJECTIVES

Diagnostic error and delay is a prevalent and impactful problem. This study was part of a mixed-methods approach to understand the organizational, clinician, and patient factors contributing to diagnostic error and delay among acutely ill patients within a health system, as well as recommendations for the development of tailored, targeted, feasible, and effective interventions.

METHODS

We did a multisite qualitative study using focus group methodology to explore the perspectives of key clinician stakeholders. We used a conceptual framework that characterized diagnostic error and delay as occurring within 1 of 3 stages of the patient's diagnostic journey-critical information gathering, synthesis of key information, and decision making and communication. We developed our moderator guide based on the sociotechnical frameworks previously described by Holden and Singh for understanding noncognitive factors that lead to diagnostic error and delay. Deidentified focus group transcripts were coded in triplicate and to consensus over a series of meetings. A final coded data set was then uploaded into NVivo software. The data were then analyzed to generate overarching themes and categories.

RESULTS

We recruited a total of 64 participants across 4 sites from emergency departments, hospital floor, and intensive care unit settings into 11 focus groups. Clinicians perceive that diverse organizational, communication and coordination, individual clinician, and patient factors interact to impede the process of making timely and accurate diagnoses.

CONCLUSIONS

This study highlights the complex sociotechnical system within which individual clinicians operate and the contributions of systems, processes, and institutional factors to diagnostic error and delay.

Factors influencing the delivery of cancer pathways: a summary of the literature

PURPOSE

The study aims to summarise the literature on cancer care pathways at the diagnostic and treatment phases. The objectives are to find factors influencing the delivery of cancer care pathways; to highlight any interrelating factors; to find gaps in the literature concerning areas of research; to summarise the strategies and recommendations implemented in the studies.

DESIGN/METHODOLOGY/APPROACH

The study used a qualitative approach and developed a causal loop diagram to summarise the current literature on cancer care pathways, from screening and diagnosis to treatment. A total of 46 papers was finally included in the analysis, which highlights the recurring themes in the literature.

FINDINGS

The study highlights the myriad areas of research applied to cancer care pathways. Factors influencing the delivery of cancer care pathways were classified into different albeit interrelated themes. These include access barriers to care, hospital emergency admissions, fast track diagnostics, delay in diagnosis, waiting time to treatment and strategies to increase system efficiency.

ORIGINALITY/VALUE

As far as the authors know, this is the first study to present a visual representation of the complex relationship between factors influencing the delivery of cancer care pathways.

Prediction of Cancer Stem Cell Fate by Surface-Enhanced Raman Scattering Functionalized Nanoprobes

Cancer stem cells (CSCs) are the fundamental building blocks of cancer dissemination, so it is desirable to develop a technique to predict the behavior of CSCs during tumor initiation and relapse. It will provide a powerful tool for pathological prognosis. Currently, there exists no method of such prediction. Here, we introduce nickel-based functionalized nanoprobe facilitated surface enhanced Raman scattering (SERS) for prediction of cancer dissemination by undertaking CSC-based surveillance. SERS profiling of CSCs of various cell lines (breast cancer, cervical cancer, and lung cancer) was compared with their cancer counterparts for the prediction of prognosis, with statistical significance of single-cell sensitivity. The single-cell sensitivity is critical as even a few CSCs are capable of initiating a tumor. Intermediate states of CSC transmutation to cancer cells and its reverse were monitored, and nanoprobe-assisted SERS profiling was undertaken. We experimentally demonstrated that the quasi-intermediate CSC states have dissimilar profiles during the transformation from cancer to CSC and vice versa enabling statistical differentiation without ambiguity. It was also observed that molecular signatures of these opposite pathways are cancer-type specific. This observation provided additional clarity to the current understanding of relatively unfamiliar quasi-intermediate states; making it possible to predict CSC dissemination for variety of cancers with ∼99% accuracy. Nano probe-based prediction of CSC fate is a powerful prediction tool for ultrasensitive prognosis of malignancy in a complex environment. Such CSC-based cancer prognosis has never been proposed before. This prediction technique has potential to provide insights for cancer diagnosis and prognosis as well as for obtaining information instrumental in designing of meaningful CSC-based cancer therapeutics.

Patient experiences of the urgent cancer referral pathway-Can the NHS do better? Semi-structured interviews with patients with upper gastrointestinal cancer

Background

Timeliness is viewed as a key feature of health‐care quality. Internationally, this is challenging. In England, cancer waiting time targets are currently not being met. For example, between 2015 and 2018 only 71% of patients with upper gastrointestinal (UGI) cancer started treatment within the recommended 62 days of referral.

Objective

We explored patients’ experiences to identify areas for service improvement.

Design

Semi‐structured interviews were conducted.

Setting and participants

Twenty patients who were referred through the urgent (two‐week) GP referral route and were within six months of receiving first treatment were recruited.

Data analysis

Data from the interviews were analysed thematically.

Results

Four themes were developed: organization of care; diagnosis; support; and views and expectations of the NHS. Patients described cross‐cutting issues such as complex and varied pathways and uncertainty about what would happen next. They felt daunted by the intensity and speed of investigations. They were presented with a recommended course of action rather than options and had little involvement in decision making. They were grateful for care, reluctant to complain and resigned to the status quo.

Discussion and conclusions

In order to meet patient needs, the NHS needs to improve communication and streamline pathways. Future cancer pathways also need to be designed to support shared decision making, be truly person‐centred and informed by patient experience.

Hierarchy of the main factors predicting the decision to go to the doctor in a general population sample: A factorial survey design

OBJECTIVE

To obtain a hierarchy of the main factors that predict the decision to go to the doctor when symptoms are not yet linked to a specific disease.

METHOD

64 representative vignettes, combinations of nine factors, were presented to 168 adults between 28-60 years of age.

RESULTS

Multilevel multiple regression models were used to rank the main factors predicting urgency to see a doctor in order of importance: the interference of symptoms in daily activities (B = -1.29; p < .001), fear (B = -0.96; p < .001), pain (B = -0.90; p < .001), access to medical care (B = -0.64; p < .001) and confidence in the doctor (B = -0.27; <.05). Moreover, gender (B = 0.56; p < .05) and educational level (B =-0.31; p < .05) explained part of the interindividual variation in the daily symptoms' interference.

CONCLUSION

When a specific disease has not yet been diagnosed, daily symptoms' interference is the factor that most strongly increases the urgency to visit a doctor, especially among men and among people with a higher level of education.

PRACTICE IMPLICATIONS

To reduce delay, generic health prevention campaigns should place more emphasis on possible interference in daily activities than on the meaning of symptoms for health.

Is healthcare-seeking with gynaecological alarm symptoms influenced by personal and professional relations? A Danish population-based, cross-sectional study

OBJECTIVES

To identify the personal and professional relations of women experiencing gynaecological alarm symptoms, to analyse if involving a personal relation is related to healthcare-seeking with gynaecological alarm symptoms, and to analyse if having an available social network is associated with involvement of this relation.

DESIGN

Web-based, population-based, cross-sectional questionnaire survey.

SETTING

The general population in Denmark.

PARTICIPANTS

The study invited 100 000 individuals randomly drawn from the Danish Civil Registration System. Pregnant women and women who did not answer relevant questions about social network were excluded. A total of 5053 women who experienced at least one gynaecological alarm symptom were included in the study. PRIMARY AND SECONDARY OUTCOMES: (1) Personal and professional relations that women experiencing gynaecological alarm symptoms involve; (2) the association between involving a personal relation and healthcare-seeking; and (3) the association between having an available social network and involvement of this relation.

RESULTS

The general practitioner (GP) was the most involved professional relation, while the spouse/partner was the most involved personal relation. When experiencing gynaecological alarm symptoms, more than 50% of women did not involve a professional relation and 20% did not involve a personal relation. For all four gynaecological alarm symptoms, the odds of involving the GP were higher in the oldest age group. Women were two to seven times more likely to involve their GP if they had personal relation involvement. No statistically significant association was found between having an available social network and involving the GP.

CONCLUSION

Involving a personal relation in healthcare-seeking was associated with increased involvement of the GP, who consequently was the most involved professional relation when experiencing gynaecological alarm symptoms. Spouse/partner was the most involved personal relation. The oldest age group had the highest odds of involving the GP. No association was found between having an available social network and involving the GP.

Artificial Intelligence in Obstetrics and Gynaecology: Is This the Way Forward?

An increasing trend in funding towards artificial intelligence (AI) research in medicine has re-animated huge expectations for future applications. Obstetrics and gynaecology remain highly litigious specialities, accounting for a large proportion of indemnity payments due to poor outcomes. Several challenges have to be faced in order to improve current clinical practice in both obstetrics and gynaecology. For instance, a complete understanding of fetal physiology and establishing accurately predictive antepartum and intrapartum monitoring are yet to be achieved. In gynaecology, the complexity of molecular biology results in a lack of understanding of gynaecological cancer, which also contributes to poor outcomes. In this review, we aim to describe some important applications of AI in obstetrics and gynaecology. We also discuss whether AI can lead to a deeper understanding of pathophysiological concepts in obstetrics and gynaecology, allowing delineation of some grey zones, leading to improved healthcare provision. We conclude that AI can be used as a promising tool in obstetrics and gynaecology, as an approach to resolve several longstanding challenges; AI may also be a means to augment knowledge and assist clinicians in decision-making in a variety of areas in obstetrics and gynaecology.