| Literature DB >> 35655961 |
Chantal Arditi1, Isabelle Peytremann-Bridevaux1.
Abstract
Background: High-quality cancer care should be effective, safe, accessible, efficient, equitable, and responsive to patients' needs. In Switzerland, information on the safety and effectiveness of cancer care is available, but not on responsiveness. Systematic and comprehensive reports from patients on cancer care are missing and needed to complete the assessment of the quality of cancer care. Evidence: Patient-reported experiences of cancer care are key to evaluate responsiveness of care and drive quality improvement initiatives in oncology practice. Studies have found that responsive care leads to more positive experiences of care, which can lead to more effective treatments and health benefits. Policy Options and Recommendations: Our first recommendation is to develop a position statement on the importance and value of patient-reported experiences of cancer care. Our second recommendation is to systematically collect patients' experiences of cancer care at the national level, through a dedicated national cancer-specific measurement program or through the integration of patient-reported experiences measures in cancer registries.Entities:
Keywords: Switzerland; cancer care; experiences of care; patient satisfaction; patient surveys; patient-reported measures; quality of care
Year: 2022 PMID: 35655961 PMCID: PMC9153851 DOI: 10.3389/phrs.2022.1604813
Source DB: PubMed Journal: Public Health Rev ISSN: 0301-0422
Definition of patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs) (Switzerland, 2021).
| PROM: a measure of patients’ perception of their health, symptoms, functioning, well-being and quality of life, to evaluate the impact of care on health and well-being according to patients | PREM: a measure of patients’ perception of their experience of care focusing on the delivery of care, to evaluate the quality and patient-centeredness of care according to patients |
| Generic PROMs are intended to make comparisons between and within interventions, and across different diseases and sectors of care. They often focus on the person’s health state, on “health-related quality of life (HRQoL)” or “Quality of Life (QoL)” in general | PREMs encompass the range of interactions that patients have with the health system relating to their satisfaction (e.g., with information given by nurses and doctors); subjective experiences (e.g., staff helped with pain); objective experiences (e.g., waiting time before appointment); and observations of healthcare providers’ behavior (e.g., whether or not a patient was given discharge information) |
| Condition-specific PROMs are specific to a particular disease (e.g., diabetes), a domain (e.g., pain), or an intervention (e.g., knee arthroplasty). They are more sensitive to small, yet clinically significant, changes in specific patient populations than generic PROMs, but they do not allow comparisons across diseases or populations |
Barriers and facilitators for the implementation of patient-reported experience measures (PREMs) (Switzerland, 2021).
| Barriers | Facilitators |
|---|---|
| Patient (micro) level | |
| Questionnaire (Q) related | Questionnaire (Q) related |
| Length and complexity of Q | Parsimonious Q |
| Lack of availability of translated and culturally meaningful versions | Disease-specific and meaningful questions |
| Questions not relevant to patients’ issues | Simple questions and scales (e.g., scale with verbal descriptors) |
| Compliance issues in completing the Q | Translations available |
| Literacy issues | Involving patients in designing the Q |
| Technology (electronic questionnaire) | Technology (electronic questionnaire) |
| Comfort level with technology & the internet (if electronic) | IT support available |
| Technical problems during completion | |
| Concerns over confidentiality and security | |
| Privacy concerns | |
| Over confidentiality of answers | |
| Over potential identification | |
| Patient health condition & abilities | |
| Too ill to answer (response bias) | |
| Disability (e.g. sight, hands) | |
| Provider and institutional (meso) level | |
| Data collection and use | Data collection and use |
| Lack of understanding the interpretation of the aggregated results | High response rate |
| Poor specificity of results | Repeated measures over time |
| Poor perceived reliability and validity of the measure | Providing training on use and interpretation of aggregated PREMs |
| Administrative burden | Disseminating positive survey findings to boost morale |
| Response and selection bias | Organization and logistics |
| Organization and logistics | Working culture supportive of improvement, change and patient views |
| Not enough staff | Dedicated meeting time to present results |
| For electronic surveys: lack of patient emails | Patient-centered work culture |
| No integration of electronic results into electronic health records | Leadership by senior member or having a coordinator in charge |
| Providers’ beliefs & attitudes | Involving providers in the implementation process |
| Fear of change | Fully integrated electronic data |
| Feeling of being assessed and criticized in aggregated results | Communication |
| Lack of understanding of the added value of aggregated results | Providing timely feedback |
| Fear of increased workload | Providing results in an easily accessible format |
| Communication | Aggregated measures relevant to clinical management |
| Long delay between PREMs measurement and reporting | Financial |
| Technical problems when communicating the results | Financial incentives |
| Financial | |
| Not enough financial resources to implement program | |
| High cost of collecting PREMs by paper mailings | |
| Lack of time and knowledge to ensure scientific validation of the Q or financial means to outsources the scientific validation | |
| National health system (macro) level | |
| Tension among stakeholders regarding data use for different purposes | Adopting a common standard and metric |
| Conflicting or competing priorities (nationally, regionally, within organizations) | Acceptability of usefulness of measures |
| Lack of national conceptual framework including PREMs | Including the results in the performance management system and financial targets |
| Lack of risk- and case-mix-adjustment strategies | Central coordination |
| Lack of effective reporting strategies | Gradual implementation |
| Lack of interoperability between systems | Support from e-health |
| Complexity of integrated data collection | Legal basis |
| Privacy legislation | |
| Costs of developing a national program, providing training, implementing program, analyzing data, communicating data | |