Patients' experiences with cancer care in Switzerland: Results of a multicentre cross-sectional survey

Identifying the drivers of overall rating of cancer care: Insights from the second wave of the Swiss Cancer Patient Experiences study

BACKGROUND

Patient experience surveys gather information on various aspects of care via numerous survey items. Identifying the most critical areas of patient experience to prioritize for quality care improvement can be challenging. The objective of this study was to determine which care experience items are the drivers influencing patients' overall rating of cancer care.

METHODS

Data from 2750 adult patients with cancer from the second wave of the Swiss Cancer Patient Experiences study were analyzed. This cross-sectional survey was conducted in eight Swiss hospitals from September 2021 to February 2022. Stepwise logistic regression examined the relationship between overall care rating and 29 patient experience items covering different patient-centered care dimensions while adjusting for sociodemographic and health variables.

RESULTS

Overall, patients rated their cancer care experience at 8.9 out of 10. Stepwise regression identified seven drivers contributing to overall care rating. The strongest drivers were "professionals worked well together" (odds ratio [OR], 4.81) and "tests were not repeated" (OR, 2.09) from the coordination and integration dimension, "offered support for symptoms during treatment" (OR, 2.11) from the physical comfort dimension, followed by "hospital staff ensured available home support" (OR, 1.99), "offered to see health professional for concerns" (OR, 1.91), "treatment options were explained" (OR, 1.75), and "involved in treatment decisions as desired" (OR, 1.68).

CONCLUSIONS

This study evaluated the care experiences of patients with cancer with a comprehensive tool that identified seven key factors independently associated with overall care rating. By concentrating on these areas, hospitals can not only improve the patient care experience but also efficiently allocate resources to quality improvement initiatives.

Patient experiences and needs in cancer care- results from a nationwide cross-sectional study in Germany

BACKGROUND

Patient-centredness has become a central quality indicator for oncology care. Elements include shared decision-making, patient navigation and integration of psychosocial care, which impact patient-reported and clinical outcomes. Despite efforts to promote patient-centred care in Germany in recent decades, implementation remains fragmented. Further, research on patient experiences with cancer care and its determinants is limited. Therefore, this study examines which patient- and facility-specific factors are associated with patient-centred quality care delivery.

METHODS

A cross-sectional study was conducted among 1,121 cancer patients in acute treatment, rehabilitation, and aftercare for different cancer entities across Germany. A participatory developed questionnaire was used. Outcome measures were the quality of physician-patient interaction and provision of psychosocial care during acute care. Predictors comprised patient-specific characteristics and treatment facility-specific factors. Multiple linear regression and multivariate binary logistic regression analyses were performed. In addition, a content analysis of open-ended comments on the patients' overall cancer care needs was applied.

RESULTS

Multiple linear regression analysis showed recent diagnosis (β=-0.12, p = < 0.001), being male (β=-0.11, p = 0.003), and having a preference for passive decision-making (β=-0.10, p = 0.001) to be significantly associated with higher interaction quality, but not age, education and health insurance type. An overall low impact of patient characteristics on interaction quality was revealed (adj. R2 = 0.03). Binary logistic regression analysis demonstrated the availability of central contact persons (OR = 3.10, p < 0.001) followed by recent diagnosis (p < 0.001), having breast cancer (p < 0.001) and being female (OR = 1.68, p < 0.05) to significantly predict offering psycho-oncological counselling to patients in acute care facilities. The availability of peer support visiting services (OR = 7.17, p < 0.001) and central contact persons (OR = 1.87, p < 0.001) in the care facility, breast cancer diagnosis (p < 0.001) and a higher level of education (p < 0.05) significantly increased the odds of patients receiving information about peer support in the treatment facility. Despite relatively satisfactory quality of physician-patient interactions in cancer care (M = 3.5 (± 1.1)), many patients expressed that better patient-centred communication and coordinated, comprehensive cancer care are needed.

CONCLUSION

The findings reflect effective developments and improvements in cancer care and suggest that patients' social characteristics are less decisive for delivering patient-centred quality care than systemic factors surrounding the care facilities. They can serve to inform oncology care in Germany.

Factors affecting overall care experience for people living with rare conditions in the UK: exploratory analysis of a quantitative patient experience survey

BACKGROUND

Although individually rare, collectively, rare conditions are common and affect a large number of people and are often chronic, life threatening and affect multiple body systems; the majority of them have no effective treatment. The literature has identified many specific challenges for those living with rare conditions, however, we do not know which of these in combination are most likely to impact how someone rates their overall experience of care. The aim of this study is to do further exploratory analysis of the Genetic Alliance UK 2020 Rare Experience survey data to identify which variables are most strongly associated with respondents' overall care experience.

RESULTS

There were strong associations between most of the selected survey variables and the overall rated experience of care variable. In the multiple linear regression only nine variables remained in the best fit model: 'Trust and confidence in hospital staff involved in ongoing care'; 'Satisfaction with information provided by healthcare professionals-following diagnosis'; 'The professionals providing care work as a team'; 'Feel care is coordinated effectively'; 'The timing and frequency of appointments are convenient for the patient/carer/family'; 'Whether or not there is a specific healthcare professional to ask questions of about the rare/undiagnosed condition'; 'Experience of searching for a diagnosis'; 'Knowledge of whether there is a specialist centre for the condition'; and 'Number of different clinics attend for the condition'.

CONCLUSIONS

Our findings indicate the challenges that play the largest part in explaining the varied experiences with rare disease healthcare in the UK for our survey respondents. These challenges should be further investigated with a broader sample of people affected by rare conditions, ideally through the implementation of a comprehensive national rare condition patient registry. Our findings highlight an important potential gap in the Framework, 'trust and confidence in healthcare professionals'; further research is required to fully understand the foundations of trust and confidence.

Cost-effectiveness of bringing a nurse into an Italian genetic day clinic: a before and after study

BACKGROUND

Only a few studies explore the role of nurses in genetic counselling and genetic health care, and none of them is related to orphan diseases. In addition, few studies address the issue of finding variables that might affect the economy of a service or perform a cost-effectiveness analysis of a having genetic nurse at a unit.

METHODS

A multidisciplinary panel of experts working in the hospital was set up to identify sensitive indicators and remove confounding variables. This panel evaluated efficiency and effectiveness indicators and drafted a questionnaire to estimate patient perception of the quality of the service. Data were captured from different sources, including the hospital patient database and a web-accessible platform for data collection. More than 600 clinical evaluations of 400 patients were considered, and economic parameters were studied by applying Porter's Time-Driven Activity-Based Costing methodology to evaluate costs and outcomes. Additionally, an anonymous, semi-structured, paper-and-pencil interview questionnaire was given to patients at their periodic follow-ups.

RESULTS

The results showed an increase in the quality of patient management, more accurate data capturing, and higher quality ambulatory care. In fact, approximately 70% of the respondents reported positive changes. In addition, a parallel economic analysis explored indicators influencing economic impact, and outcomes showed positive results with the quality of outcomes improving more compared to the increase in costs.

CONCLUSIONS

The variety of evaluated issues highlighted that having a nurse in a genetic service and at day clinic activities resulted in better access, better scheduling, more satisfaction, and proved to be a cost-effective solution for patients affected by rare diseases.

The role of dermocosmetics in the management of cancer-related skin toxicities: international expert consensus

Skin toxicities are very common in patients undergoing cancer treatment and have been found to occur with all types of cancer therapeutic interventions (cytotoxic chemotherapy, targeted therapies, immunotherapy, and radiotherapy). Further, skin toxicities can lead to interruption or even discontinuation of anticancer treatment in some patients, translating to suboptimal outcomes. Dermocosmetics (or cosmeceuticals)-defined as skincare solutions incorporating dermatologically active ingredients (beyond vehicle effects) that directly improve symptoms of various skin conditions-are increasingly being used in cancer care to prevent and manage skin toxicities. The active ingredients in these products have a measurable biological action in skin; they typically improve skin integrity (barrier function/hydration and other factors) while relieving skin symptoms. The Association Francophone des Soins Oncologiques de Support (AFSOS) and Multinational Association of Supportive Care in Cancer (MASCC) partnered to select a multidisciplinary group of healthcare professionals involved in the management of patients with cancer and skin toxicities. The group reviewed existing literature and created a summary of recommendations for managing these toxicities through online meetings and communication. In this publication, the group (1) reviews new skin toxicities seen with oncology drugs and (2) evaluates the role of dermocosmetics in improving patient outcomes and minimizing cancer treatment interruptions. We provide general recommendations for initiation and selection of skin care in all oncology patients as well as recommendations for what factors should be considered when using dermocosmetics in specific types of skin toxicities.

Socio-demographic and health-related determinants of patients' overall rating and experiences of cancer care

BACKGROUND

Understanding how patient-reported experiences of care and overall rating of care vary among patients with different characteristics is useful to help interpret results from patient experience surveys and design targeted improvement interventions. The primary objective of this paper was to identify the socio-demographic and health-related characteristics independently associated with overall rating of cancer care. The secondary objective was to explore if and how these characteristics were associated with specific experiences of cancer care.

METHODS

This cross-sectional multicenter study analyzed self-reported data collected from 2696 patients diagnosed with breast, prostate, lung, colorectal, skin, or hematological cancer from four large hospitals in French-speaking Switzerland. Multivariate logistic regressions with purposeful stepwise selection of independent variables were used to identify the socio-demographic and health-related characteristics independently associated with overall rating of cancer care in the primary analyses. In the secondary analyses, we ran the multivariate model from the primary analyses with specific experiences of care as outcomes to estimate the adjusted odds ratios (OR) and 95% confidence intervals (CI) of the selected characteristics.

RESULTS

Respondents' mean rating of overall cancer care was 8.5 on a scale from 0 to 10, with 17% categorized as reporting a low rating (0-7 rating). Being a woman (OR 1.43, 95% CI 1.12-1.83), not being Swiss (OR 1.47, 95% CI 1.12-1.94), reporting lower health literacy (OR 1.95, 95% CI 1.54-2.47), preferring making medical decisions alone (OR 1.92, 95% CI 1.38-2.67), having forgone care due to cost (OR 1.72, 95% CI 1.29-2.29), having used complementary medicine (OR 1.55, 95% CI 1.22-1.97), and reporting poorer health (OR 3.12, 95% CI 2.17-4.50) were all independently associated with a low rating of overall cancer care. Poorer health, lower health literacy, and having forgone care were the three characteristics most often associated with problematic experiences of care.

CONCLUSIONS

Our results identified several patient characteristics consistently associated with lower overall rating of care and specific experiences of cancer care. Among these determinants, health literacy and financial hardship emerged as key recurring factors shaping poor patient experiences that should be prioritized for attention by cancer care services.

Big Data in Oncology Nursing Research: State of the Science

OBJECTIVE

To review the state of oncology nursing science as it pertains to big data. The authors aim to define and characterize big data, describe key considerations for accessing and analyzing big data, provide examples of analyses of big data in oncology nursing science, and highlight ethical considerations related to the collection and analysis of big data.

DATA SOURCES

Peer-reviewed articles published by investigators specializing in oncology, nursing, and related disciplines.

CONCLUSION

Big data is defined as data that are high in volume, velocity, and variety. To date, oncology nurse scientists have used big data to predict patient outcomes from clinician notes, identify distinct symptom phenotypes, and identify predictors of chemotherapy toxicity, among other applications. Although the emergence of big data and advances in computational methods provide new and exciting opportunities to advance oncology nursing science, several challenges are associated with accessing and using big data. Data security, research participant privacy, and the underrepresentation of minoritized individuals in big data are important concerns.

IMPLICATIONS FOR NURSING PRACTICE

With their unique focus on the interplay between the whole person, the environment, and health, nurses bring an indispensable perspective to the interpretation and application of big data research findings. Given the increasing ubiquity of passive data collection, all nurses should be taught the definition, characteristics, applications, and limitations of big data. Nurses who are trained in big data and advanced computational methods will be poised to contribute to guidelines and policies that preserve the rights of human research participants.

The Lausanne Hospitality Model: a model integrating hospitality into supportive care

PURPOSE

Cancer care is undergoing a conceptual shift with the introduction of the principles of patient-centered care to support patients' individual needs. These needs include those related to hospitality during cancer treatments. This paper aims to provide an extension of the supportive care framework by bringing in the hospitality approach inspired by the hotel industry.

METHOD

The "Lausanne Hospitality Model," integrating hospitality into supportive care, was developed through an iterative process, combining expertise in supportive care and health services research, communication, and the hotel industry.

RESULTS

This conceptual paper integrates hospitality and service sciences into the supportive care framework. The "Lausanne Hospitality Model" offers new insights into the notions of cancer journey, patient experience, services, and practices that may be involved when facilitating hospitality. While most concepts used in the model are based on prior research, they have not been combined previously. The model highlights the place of hospitality in the patient's experience within cancer services and, by extension, its role in professional practice.

CONCLUSION

Practices involved in the delivery of cancer care need to reinforce the importance attributed to hospitality services, as they impact patients' experiences. By integrating the hospitality perspective into healthcare delivery and supportive care, this paper addresses previously theoretically overlooked aspects that impact patients' experiences during cancer care.