Persistent inequalities in unplanned hospitalisation among colon cancer patients across critical phases of their care pathway, England, 2011-13

Characteristics of interventions aimed at reducing inequalities along the cancer continuum: A scoping review

Cancer inequalities are wide and enduring, within countries between socio-demographic groups and between countries. These are generated and sustained throughout the key phases of the cancer pathway, from investigation, clinical assessment, decision and access to treatment, and follow-up care. We aimed to describe the characteristics of implemented interventions, evaluated in published controlled experiments in the medical literature, specifically designed to target reductions in inequalities along the cancer pathway. We searched the Ovid Medline and Embase databases from January 2005 to April 2024 for controlled experiments reporting on interventions tackling inequalities. We extracted information on the publication, the aim and type of intervention, its setting, the characteristics of the sample and of the interventions, and summarised their results and limitations. We identified 56 articles reporting on 57 interventions. Of these, 51 (89.5%) focused on access to screening; 56 (98.2%) focused on colorectal, breast, and cervical cancers; 37 (64.9%) concentrated on ethnic inequalities and 48 (84.2%) were based in the USA. In addition, the majority of interventions sought to change individual knowledge, beliefs, and behaviour rather than issues at the system-level. The importance of addressing how healthcare is delivered equitably to all individuals is widely recognised, and there is evidence that individual factors account for only a small part of cancer pathway inequalities. Yet, this scoping review reports a lack of diversity in the implementation of interventions addressing cancer inequalities, and a minority of them target health system issues.

[Development and validation of a tool for the systematic identification of social vulnerabilities in cancer patients: the DEFCO tool]

INTRODUCTION

Literature suggests that patients from deprived backgrounds are less likely to adhere to their treatments, continue to expose themselves to risk factors and, as a result, have poorer health outcomes. It is therefore crucial to identify these vulnerable populations early on, in order to provide them with tailored and reinforced care. The primary aim of this research is to construct and validate a systematic screening tool for identifying patients at highest risk of social vulnerability due to deprivation, through the use of psychometric techniques. This tool is intended to be easily used by healthcare professionals, to provide tailored and targeted care throughout the patient's journey.

METHOD

This study involves the development and assessment of a screening tool, along with a self-questionnaire and a decision support tool incorporating an artificial neural network. It is a prospective, monocentric, 2-stage psychometric validation study.

RESULTS

This study has demonstrated the successful development of the self-questionnaire using psychometric methodology. The tool was found a good performance in screening social vulnerabilities.

DISCUSSION

This validated self-questionnaire is an easy-to-use tool, allowing systematic screening for social vulnerabilities for cancer patients. This early identification allows to reinforce patient's pathway in order to avoid disruption. The integration of the tool in an artificial neuron network system allows to automate and disseminate this method of deprived patients' detection, while limiting the workload for the staff.

What can hospital emergency admissions prior to cancer diagnosis tell us about socio-economic inequalities in cancer diagnosis? Evidence from population-based data in England

BACKGROUND

More deprived cancer patients are at higher risk of Emergency Presentation (EP) with most studies pointing to lower symptom awareness and increased comorbidities to explain those patterns. With the example of colon cancer, we examine patterns of hospital emergency admissions (HEAs) history in the most and least deprived patients as a potential precursor of EP.

METHODS

We analysed the rates of hospital admissions and their admission codes (retrieved from Hospital Episode Statistics) in the two years preceding cancer diagnosis by sex, deprivation and route to diagnosis (EP, non-EP). To select the conditions (grouped admission codes) that best predict emergency admission, we adapted the purposeful variable selection to mixed-effects logistic regression.

RESULTS

Colon cancer patients diagnosed through EP had the highest number of HEAs than all the other routes to diagnosis, especially in the last 7 months before diagnosis. Most deprived patients had an overall higher rate and higher probability of HEA but fewer conditions associated with it.

CONCLUSIONS

Our findings point to higher use of emergency services for non-specific symptoms and conditions in the most deprived patients, preceding colon cancer diagnosis. Health system barriers may be a shared factor of socio-economic inequalities in EP and HEAs.

Socioeconomic Deprivation and Health Care Use in Patients Enrolled in SWOG Cancer Clinical Trials

Importance

Reducing acute care use is an important strategy for improving value. Patients with cancer are at risk for unplanned emergency department (ED) visits and hospital stays (HS). Clinical trial patients have homogeneous treatment; despite this, structural barriers to care may independently impact acute care use.

Objective

To examine whether ED visits and HS within 12 months of trial enrollment are more common among Medicare enrollees who live in areas of socioeconomic deprivation or have Medicaid insurance.

Design, Setting, and Participants

This cohort study included patients with cancer who were 65 years or older and treated in SWOG Cancer Research Network trials from 1999 to 2018 using data linked to Medicare claims. Data were collected from 1999 to 2019 and analyzed from 2022 to 2024.

Main Outcomes and Measures

Outcomes were ED visits, HS, and costs in the first year following enrollment. Neighborhood socioeconomic deprivation was measured using patients' zip code linked to the Area Deprivation Index (ADI), measured on a 0 to 100 scale for increasing deprivation and categorized into tertiles (T1 to T3). Type of insurance was classified as Medicare with or without commercial insurance vs dual Medicare and Medicaid. Demographic, clinical, and prognostic factors were captured from trial records. Multivariable regression was used, and the association of ADI and insurance with each outcome was considered separately.

Results

In total, 3027 trial participants were analyzed. The median (range) age was 71 (65-98) years, 1280 (32.3%) were female, 221 (7.3%) were Black patients, 2717 (89.8%) were White patients, 90 (3.0%) had Medicare and Medicaid insurance, and 660 (22.3%) were in the areas of highest deprivation (ADI-T3). In all, 1094 patients (36.1%) had an ED visit and 983 patients (32.4%) had an HS. In multivariable generalized estimating equation, patients living in areas categorized as ADI-T3 were more likely to have an ED visit (OR, 1.34; 95% CI, 1.10-1.62; P = .004). A similar but nonsignificant pattern was observed for HS (OR, 1.36; 95% CI, 0.96-1.93; P = .08). Patients from areas with the highest deprivation had a 62% increase in risk of either an ED visit or HS (OR, 1.62; 95% CI, 1.25-2.09; P < .001). Patients with Medicare and Medicaid were 96% more likely to have an ED visit (OR, 1.96; 95% CI, 1.56-2.46; P < .001).

Conclusions and Relevance

In this cohort of older patients enrolled in clinical trials, neighborhood deprivation and economic disadvantage were associated with an increase in ED visits and HS. Efforts are needed to ensure adequate resources to prevent unplanned use of acute care in socioeconomically vulnerable populations.

Socioeconomic inequality in health care use among cancer patients in China: Evidence from the China health and retirement longitudinal study

Background

Cancer is a major public health problem worldwide and the leading cause of death in China, with increasing incidence and mortality rates. This study sought to assess socioeconomic-related inequalities in health care use among cancer patients in China and to analyze factors associated with this disparity.

Methods

This study used data collected for the China Health and Retirement Longitudinal Study in 2018. Patients who reported having cancer were included. The annual per capita household expenditure was classified into five groups by the quintile method. We calculated the distribution of actual, need-predicted, and need-standardized health care use across different socioeconomic groups among patients with cancer. The concentration index (CI) was used to evaluate inequalities in health care use. Influencing factors of inequalities were measured with the decomposition method.

Results

A total of 392 people diagnosed with cancer were included in this study. The proportion of cancer patients who utilized outpatient and inpatient services was 23.47% and 40.82%, respectively, and the CIs for actual outpatient and inpatient service use were 0.1419 and 0.1960. The standardized CIs (CI for outpatient visits = 0.1549; CI for inpatient services = 0.1802) were also both positive, indicating that affluent cancer patients used more health services. The annual per capita household expenditure was the greatest factor favoring the better-off, which contributed as much as 78.99% and 83.92% to the inequality in outpatient and inpatient services use, followed by high school education (26.49% for outpatient services) and living in a rural village (34.53% for inpatient services). Urban Employee Basic Medical Insurance exacerbated the inequality in inpatient services (21.97%) while having a negative impact on outpatient visits (−22.19%).

Conclusions

There is a pro-rich inequality in outpatient and inpatient services use among cancer patients in China. A lower socioeconomic status is negatively associated with cancer care use. Hence, more targeted financial protection for poor people would relieve cancer patients of the burden caused by the high cost of cancer care.

Socio-economic inequalities in cancer survival: how do they translate into Number of Life-Years Lost?

BACKGROUND

We aimed to investigate the impact of socio-economic inequalities in cancer survival in England on the Number of Life-Years Lost (NLYL) due to cancer.

METHODS

We analysed 1.2 million patients diagnosed with one of the 23 most common cancers (92.3% of all incident cancers in England) between 2010 and 2014. Socio-economic deprivation of patients was based on the income domain of the English Index of Deprivation. We estimated the NLYL due to cancer within 3 years since diagnosis for each cancer and stratified by sex, age and deprivation, using a non-parametric approach. The relative survival framework enables us to disentangle death from cancer and death from other causes without the information on the cause of death.

RESULTS

The largest socio-economic inequalities were seen mostly in adults <45 years with poor-prognosis cancers. In this age group, the most deprived patients with lung, pancreatic and oesophageal cancer lost up to 6 additional months within 3 years since diagnosis than the least deprived. For most moderate/good prognosis cancers, the socio-economic inequalities widened with age.

CONCLUSIONS

More deprived patients and particularly the young with more lethal cancers, lose systematically more life-years than the less deprived. To reduce these inequalities, cancer policies should systematically encompass the inequities component.

Are socio-economic inequalities in breast cancer survival explained by peri-diagnostic factors?

BACKGROUND

Patients living in more deprived localities have lower cancer survival in England, but the role of individual health status at diagnosis and the utilisation of primary health care in explaining these differentials has not been widely considered. We set out to evaluate whether pre-existing individual health status at diagnosis and primary care consultation history (peri-diagnostic factors) could explain socio-economic differentials in survival amongst women diagnosed with breast cancer.

METHODS

We conducted a retrospective cohort study of women aged 15-99 years diagnosed in England using linked routine data. Ecologically-derived measures of income deprivation were combined with individually-linked data from the English National Cancer Registry, Clinical Practice Research Datalink (CPRD) and Hospital Episodes Statistics (HES) databases. Smoking status, alcohol consumption, BMI, comorbidity, and consultation histories were derived for all patients. Time to breast surgery was derived for women diagnosed after 2005. We estimated net survival and modelled the excess hazard ratio of breast cancer death using flexible parametric models. We accounted for missing data using multiple imputation.

RESULTS

Net survival was lower amongst more deprived women, with a single unit increase in deprivation quintile inferring a 4.4% (95% CI 1.4-8.8) increase in excess mortality. Peri-diagnostic co-variables varied by deprivation but did not explain the differentials in multivariable analyses.

CONCLUSIONS

These data show that socio-economic inequalities in survival cannot be explained by consultation history or by pre-existing individual health status, as measured in primary care. Differentials in the effectiveness of treatment, beyond those measuring the inclusion of breast surgery and the timing of surgery, should be considered as part of the wider effort to reduce inequalities in premature mortality.

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.

Towards equity: a qualitative exploration of the implementation and impact of a digital educational intervention for pharmacy professionals in England

BACKGROUND

Patients belonging to marginalised (medically under-served) groups experience problems with medicines (i.e. non-adherence, side effects) and poorer health outcomes largely due to inequitable access to healthcare (arising from poor governance, cultural exclusion etc.). In order to promote service equity and outcomes for patients, the focus of this paper is to explore the implementation and impact of a new co-produced digital educational intervention on one National Health Service (NHS) funded community pharmacy medicines management service.

METHODS

Semi-structured interviews with a total of 32 participants. This included a purposive sample of 22 community pharmacy professionals, (16 pharmacists and 6 pharmacy support staff) all who offered the medicine management service. In order to obtain a fuller picture of the barriers to learning, five professionals who were unable to complete the learning were also included. Ten patients (from a marginalised group) who had received the service (as a result of the digital educational intervention) were also interviewed. Drawing on an interpretative analysis, Normalisation Process Theory (NPT) was used as a theoretical framework.

RESULTS

Three themes are explored. The first is how the digital learning intervention was implemented and applied. Despite being well received, pharmacists found it challenging completing and cascading the learning due to organisational constraints (e.g. lack of time, workload). Using the four NPT constructs (coherence, cognitive participation, collective action and reflexive monitoring) the second theme exposes the impact of the learning and the organisational process of 'normalisation'. Professional reflective accounts revealed instances where inequitable access to health services were evident. Those completing the intervention felt more aware, capable and better equipped to engage with the needs of patients who were from a marginalised group. Operationally there was minimal structural change in service delivery constraining translation of learning to practice. The impact on patients, explored in our final theme, revealed that they experience significant disadvantage and problems with their medicines. The medication review was welcomed and the discussion with the pharmacist was helpful in addressing their medicine-related concerns.

CONCLUSIONS

The co-produced digital educational intervention increases pharmacy professionals' awareness and motivation to engage with marginalised groups. However structural barriers often hindered translation into practice. Patients reported significant health and medicine challenges that were going unnoticed. They welcomed the additional support the medication review offered. Policy makers and employers should better enable and facilitate ways for pharmacy professionals to better engage with marginalised groups. The impact of the educational intervention on patients' health and medicines management could be substantial if supported and promoted effectively.

Supporting the provision of pharmacy medication reviews to marginalised (medically underserved) groups: a before/after questionnaire study investigating the impact of a patient-professional co-produced digital educational intervention

OBJECTIVES

People who are marginalised (medically underserved) experience significant health disparities and their voices are often 'seldom heard'. Interventions to improve professional awareness and engagement with these groups are urgently needed. This study uses a co-production approach to develop an online digital educational intervention in order to improve pharmacy staffs' intention to offer a community pharmacy medication review service to medically underserved groups.

DESIGN

Before/after (3 months) self-completion online questionnaire.

SETTING

Community pharmacies in the Nottinghamshire (England) geographical area.

PARTICIPANTS

Community pharmacy staff.

INTERVENTION

Online digital educational intervention.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome measure was 'behaviour change intention' using a validated 12-item survey measure. The secondary outcome measure was pharmacist self-reported recruitment of underserved groups to the medication review service.

RESULTS

All pharmacies in the Nottinghamshire area (n=237) were approached in June 2017 and responses were received from 149 staff (from 122 pharmacies). At 3 months (after completing the baseline questionnaire), 96 participants (from 80 pharmacies) completed a follow-up questionnaire, of which two-thirds (n=62) reported completing the e-learning. A before/after comparison analysis found an improving trend in all the five constructs of behaviour change intention (intention, social influence, beliefs about capabilities, moral norms and beliefs about consequences), with a significant increase in mean score of participants' 'beliefs about capabilities' (0.44; 95% CI 0.11 to 0.76, p=0.009). In the short-term, no significant change was detected in the number of patients being offered and the patient completing a medication review.

CONCLUSIONS

Although increases in the numbers of patients being offered a medication review was not detected, the intervention has the potential to significantly improve pharmacy professionals' 'beliefs about capabilities' in the short-term. Wider organisational and policy barriers to engagement with marginasied groups may need to be addressed. Future research should focus on the interplay between digital learning and practice to better identify and understand effective practice change pathways.