Engaging Patients and Clinicians in Online Reporting of Adverse Effects During Chemotherapy for Cancer: The eRAPID System (Electronic Patient Self-Reporting of Adverse Events: Patient Information and aDvice)

Strategies to promote patient-centeredness within the healthcare industry: A grey-based multicriteria decision making methods

RATIONALE

The international policy agenda has recently advocated for the development of patient-centeredness in healthcare service delivery. Consequently, various stakeholders in the healthcare systems have expressed a vital need for identifying strategies and tools that can enhance patient-centeredness.

AIMS AND OBJECTIVES

The objective of this paper was to prioritise and benchmark the strategies that can improve patient-centeredness in healthcare service delivery.

METHOD

We employed a multi-stage research scenario that consisted of two phases: a phase including of a scoping review to identify the current strategies to improve patient-centeredness (PC); And, a phase including of a multicriteria best-worst method to assign weights to PC principles, and a questionnaire administered to a sample of experts for benchmarking the strategies derived from the literature using the Grey Multi-Attributive Border Approximation Area Comparison (MABAC-G) method.

RESULTS

The most important principle of patient-centeredness was deemed to be access to care, while telehealth tools and Electronic Health Information Systems were respectively suggested as the most efficacious platforms for promoting patient-centeredness.

CONCLUSION

We recommend that administrators and policy makers in the healthcare industry prioritise the implementation and research of strategies such as telehealth tools and electronic health information systems to enhance access and patient-centeredness in the healthcare systems.

Exploring potential drivers of patient engagement with their health data through digital platforms: A scoping review

BACKGROUND

Patient engagement when providing patient access to health data results from an interaction between the available tools and individual capabilities. The recent digital advancements of the healthcare field have altered the manifestation and importance of patient engagement. However, a comprehensive assessment of what factors contribute to patient engagement remain absent. In this review article, we synthesised the most frequently discussed factors that can foster patient engagement with their health data.

METHODS

A scoping review was conducted in MEDLINE, Embase, and Google Scholar. Relevant data were synthesized within 7 layers using a thematic analysis: (1) social and demographic factors, (2) patient ability factors, (3) patient motivation factors, (4) factors related to healthcare professionals' attitudes and skills, (5) health system factors, (6) technological factors, and (7) policy factors.

RESULTS

We identified 5801 academic and 200 Gy literature records, and included 292 (4.83%) in this review. Overall, 44 factors that can affect patient engagement with their health data were extracted. We extracted 6 social and demographic factors, 6 patient ability factors, 12 patient motivation factors, 7 factors related to healthcare professionals' attitudes and skills, 4 health system factors, 6 technological factors, and 3 policy factors.

CONCLUSIONS

Improving patient engagement with their health data enables the development of patient-centered healthcare, though it can also exacerbate existing inequities. While expanding patient access to health data is an important step towards fostering shared decision-making in healthcare and subsequently empowering patients, it is important to ensure that these developments reach all sectors of the community.

Patient adherence to patient-reported outcome measure (PROM) completion in clinical care: current understanding and future recommendations

BACKGROUND

Patient-reported outcome measures (PROMs) are increasingly being used as an assessment and monitoring tool in clinical practice. However, patient adherence to PROMs completions are typically not well documented or explained in published studies and reports. Through a collaboration between the International Society for Quality-of-Life Research (ISOQOL) Patient Engagement and QOL in Clinical Practice Special Interest Groups (SIGs) case studies were collated as a platform to explore how adherence can be evaluated and understood. Case studies were drawn from across a range of clinically and methodologically diverse PROMs activities.

RESULTS

The case studies identified that the influences on PROMs adherence vary. Key drivers include PROMs administeration methods within a service and wider system, patient capacity to engage and clinician engagement with PROMs information. It was identified that it is important to  evaluate  PROMs integration and adherence from multiple perspectives.

CONCLUSION

PROM completion rates are an important indicator of patient adherence. Future research prioritizing an understanding of PROMs completion rates by patients is needed.

Development of an eHealth-enhanced model of care for the monitoring and management of immune-related adverse events in patients treated with immune checkpoint inhibitors

PURPOSE

The use of electronic patient-reported outcome (ePRO) data in routine care has been tied to direct patient benefits such as improved quality of care and symptom control and even overall survival. The modes of action behind such benefits are seldom described in detail. Here, we describe the development of a model of care leveraging ePRO data to monitor and manage symptoms of patients treated with immune checkpoint inhibitors.

METHODS

Development was split into four stages: (1) identification of an underlying theoretical framework, (2) the selection of an ePRO measure (ePROM), (3) the adaptation of an electronic application to collect ePRO data, and (4) the description of an ePRO-oriented workflow. The model of care is currently evaluated in a bicentric longitudinal randomized controlled phase II trial, the IePRO study.

RESULTS

The IePRO model of care is grounded in the eHealth Enhanced Chronic Care Model. Patients are prompted to report symptoms using an electronic mobile application. Triage nurses are alerted, review the reported symptoms, and contact patients in case of a new or worsening symptom. Nurses use the UKONS 24-hour telephone triage tool to issue patient management recommendations to the oncology team. Adapted care coordinating procedures facilitate team collaboration and provide patients with timely feedback.

CONCLUSION

This report clarifies how components of care are created and modified to leverage ePRO to enhance care. The model describes a workflow that enables care teams to be proactive and provide patients with timely, multidisciplinary support to manage symptoms.

Patient-Reported Outcomes, Digital Health, and the Quest to Improve Health Equity

The theme of the 2023 American Society of Clinical Oncology Annual Meeting is Partnering With Patients: The Cornerstone of Cancer Care and Research. As we aim to partner with patients to improve their health care, digital tools have the potential to enhance patient-centered cancer care and make clinical research more accessible and generalizable. Using electronic patient-reported outcomes (ePROs) to collect patients' reports of symptoms, functioning, and well-being facilitates patient-clinician communication and improves care and outcomes. Early studies suggest that racial and ethnic minority populations, older patients, and patients with less education may benefit even more from ePRO implementation. Clinical practices looking to implement ePROs can refer to the resources of the PROTEUS Consortium (Patient-Reported Outcomes Tools: Engaging Users & Stakeholders). Beyond ePROs, in response to the COVID-19 pandemic, cancer practices have rapidly adopted other digital tools (eg, telemedicine, remote patient monitoring). As implementation grows, we must be aware of the limitations of these tools and implement them in ways to promote optimal function, access, and ease of use. Infrastructure, patient, provider, and system-level barriers need to be addressed. Partnerships across all levels can inform development and implementation of digital tools to meet the needs of diverse groups. In this article, we describe how we use ePROs and other digital health tools in cancer care, how digital tools can expand access to and generalizability of oncology care and research, and prospects for broader implementation and use.

Patient-reported outcome (PRO) measurements in chronic and malignant diseases: ten years' experience with PRO-algorithm-based patient-clinician interaction (telePRO) in AmbuFlex

BACKGROUND

Patient-reported Outcome (PRO) measures may be used as the basis for out-patient follow-up instead of fixed appointments. The patients attend follow-up from home by filling in questionnaires developed for that specific aim and patient group (telePRO). The questionnaires are handled in real time by a specific algorithm, which assigns an outcome color reflecting clinical need. The specific questionnaires and algorithms (named solutions) are constructed in a consensus process with clinicians. We aimed to describe AmbuFlex' telePRO solutions and the algorithm outcomes and variation between patient groups, and to discuss possible applications and challenges.

METHODS

TelePRO solutions with more than 100 processed questionnaires were included in the analysis. Data were retrieved together with data from national registers. Characteristics of patients, questionnaires and outcomes were tabulated for each solution. Graphs were constructed depicting the overall and within-patient distribution of algorithm outcomes for each solution.

RESULTS

From 2011 to 2021, 29 specific telePRO solutions were implemented within 24 different ICD-10 groups. A total of 42,015 patients were referred and answered 171,268 questionnaires. An existing applicable instrument with cut-off values was available for four solutions, whereas items were selected or developed ad hoc for the other solutions. Mean age ranged from 10.7 (Pain in children) to 73.3 years (chronic kidney disease). Mortality among referred patients varied between 0 (obesity, asthma, endometriosis and pain in children) and 528 per 1000 patient years (Lung cancer). There was substantial variation in algorithm outcome across patient groups while different solutions within the same patient group varied little.

DISCUSSION

TelePRO can be applied in diseases where PRO can reflect clinical status and needs. Questionnaires and algorithms should be adapted for the specific patient groups and clinical aims. When PRO is used as replacement for clinical contact, special carefulness should be observed with respect to patient safety.

Artificial intelligence empowered Digital Health Technologies in Cancer Survivorship Care: a scoping review

Objective

The objectives of this systematic review are to describe features and specific application scenarios for current cancer survivorship care services of Artificial intelligence (AI)-driven digital health technologies (DHTs) and to explore the acceptance and briefly evaluate its feasibility in the application process.

Methods

Search for literatures published from 2010 to 2022 on sites MEDLINE, IEEE-Xplor, PubMed, Embase, Cochrane Central Register of Controlled Trials and Scopus systematically. The types of literatures include original research, descriptive study, randomized controlled trial, pilot study, and feasible or acceptable study. The literatures above described current status and effectiveness of digital medical technologies based on AI and used in cancer survivorship care services. Additionally, we use QuADS quality assessment tool to evaluate the quality of literatures included in this review.

Results

43 studies that met the inclusion criteria were analyzed and qualitatively synthesized. The current status and results related to the application of AI-driven DHTs in cancer survivorship care were reviewed. Most of these studies were designed specifically for breast cancer survivors’ care and focused on the areas of recurrence or secondary cancer prediction, clinical decision support, cancer survivability prediction, population or treatment stratified, anti-cancer treatment-induced adverse reaction prediction, and so on. Applying AI-based DHTs to cancer survivors actually has shown some positive outcomes, including increased motivation of patient-reported outcomes (PROs), reduce fatigue and pain levels, improved quality of life, and physical function. However, current research mostly explored the technology development and formation (testing) phases, with limited-scale population, and single-center trial. Therefore, it is not suitable to draw conclusions that the effectiveness of AI-based DHTs in supportive cancer care, as most of applications are still in the early stage of development and feasibility testing.

Conclusions

While digital therapies are promising in the care of cancer patients, more high-quality studies are still needed in the future to demonstrate the effectiveness of digital therapies in cancer care. Studies should explore how to develop uniform standards for measuring patient-related outcomes, ensure the scientific validity of research methods, and emphasize patient and health practitioner involvement in the development and use of technology.

'We do need to keep some human touch'-Patient and clinician experiences of ovarian cancer follow-up and the potential for an electronic patient-reported outcome pathway: A qualitative interview study

Objective

This study aimed to explore experiences of follow‐up after treatment and views on an electronic patient‐reported outcome (ePRO) pathway among ovarian cancer patients and clinicians.

Methods

Semi‐structured qualitative interviews were conducted with clinicians and patients previously treated for ovarian cancer. Interviews explored experiences of the current follow‐up pathway, patients' needs and views on an ePRO pathway enabling patients to report symptoms online rather than attend clinic‐based appointments. Transcripts were analysed using framework analysis.

Results

Sixteen patients and 10 clinicians participated from four hospitals in England. Four key themes were identified: transition into follow‐up, key features of effective follow‐up, issues in follow‐up and views of ePRO. Both patients and clinicians saw benefits of an ePRO pathway alongside continued access to specialist support and discussed various practicalities (e.g., frequency, introduction and communication). Technology concerns and feelings of abandonment were highlighted as barriers. The proposed impact on clinical and individual patient outcomes was discussed.

Conclusion

Patient and clinician views on follow‐up and an ePRO pathway informed key recommendations on the development/introduction of ePRO follow‐up. Technology use in healthcare will continue to grow and may offer solutions to facilitate responsive and tailored care. Further research should explore the safety, experiences and acceptability of ePRO follow‐up.

Patients' perspectives on a drug safety monitoring system for immune-mediated inflammatory diseases based on patient-reported outcomes

BACKGROUND

Patient-reported outcomes (PROs) on adverse drug reactions (ADRs) are increasingly used in cohort event monitoring (CEM) to obtain a better understanding of patients' real-world experience with drugs. Despite the leading role for patients, little is known about their perspectives on CEM systems.

RESEARCH DESIGN AND METHODS

In a cross-sectional open survey following the rationale of the Technology Acceptance Model, we aimed to obtain insight in patients' perspectives on the perceived usefulness, ease of use and attitude toward using a PRO-based drug safety monitoring system for ADRs attributed to biologics.

RESULTS

Patients considered structural reporting of ADRs in web-based questionnaires as useful and not burdensome. It was preferred to link the questionnaire frequency to regular hospital consultations or the biologic administration schedule. Various respondents were interested in sharing questionnaires with their medical specialist (49.0%) or pharmacist (34.2%), and suggested to minimize the questionnaire frequency in case of an unaltered situation or absence of ADRs.

CONCLUSIONS

Patients' perspectives should be considered in the setup of PRO-based CEM studies, as this contributes to data quality and patient centeredness. Since incorporation of patients' perspectives in CEM studies is indispensable, a delicate balance should be found between user-friendliness and study aims.

Healthcare provider characteristics that influence the implementation of individual-level patient-centered outcome measure (PROM) and patient-reported experience measure (PREM) data across practice settings: a protocol for a mixed methods systematic review with a narrative synthesis

BACKGROUND

Substantial literature has highlighted the importance of patient-reported outcome and experience measures (PROMs and PREMs, respectively) to collect clinically relevant information to better understand and address what matters to patients. The purpose of this systematic review is to synthesize the evidence about how healthcare providers implement individual-level PROMs and PREMs data into daily practice.

METHODS

This mixed methods systematic review protocol describes the design of our synthesis of the peer-reviewed research evidence (i.e., qualitative, quantitative, and mixed methods), systematic reviews, organizational implementation projects, expert opinion, and grey literature. Keyword synonyms for "PROMs," PREMs," and "implementation" will be used to search eight databases (i.e., MEDLINE, CINAHL, PsycINFO, Web of Science, Embase, SPORTDiscus, Evidence-based Medicine Reviews, and ProQuest (Dissertation and Theses)) with limiters of English from 2009 onwards. Study selection criteria include implementation at the point-of-care by healthcare providers in any practice setting. Eligible studies will be critically appraised using validated tools (e.g., Joanna Briggs Institute). Guided by the review questions, data extraction and synthesis will occur simultaneously to identify biographical information and methodological characteristics as well as classify study findings related to implementation processes and strategies. As part of the narrative synthesis approach, two frameworks will be utilized: (a) Consolidated Framework for Implementation Research (CFIR) to identify influential factors of PROMs and PREMs implementation and (b) Expert Recommendations for Implementing Change (ERIC) to illicit strategies. Data management will be undertaken using NVivo 12TM.

DISCUSSION

Data from PROMs and PREMs are critical to adopt a person-centered approach to healthcare. Findings from this review will guide subsequent phases of a larger project that includes interviews and a consensus-building forum with end users to create guidelines for implementing PROMs and PREMs at the point of care.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42020182904 .

A review of AI and Data Science support for cancer management

INTRODUCTION

Thanks to improvement of care, cancer has become a chronic condition. But due to the toxicity of treatment, the importance of supporting the quality of life (QoL) of cancer patients increases. Monitoring and managing QoL relies on data collected by the patient in his/her home environment, its integration, and its analysis, which supports personalization of cancer management recommendations. We review the state-of-the-art of computerized systems that employ AI and Data Science methods to monitor the health status and provide support to cancer patients managed at home.

OBJECTIVE

Our main objective is to analyze the literature to identify open research challenges that a novel decision support system for cancer patients and clinicians will need to address, point to potential solutions, and provide a list of established best-practices to adopt.

METHODS

We designed a review study, in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, analyzing studies retrieved from PubMed related to monitoring cancer patients in their home environments via sensors and self-reporting: what data is collected, what are the techniques used to collect data, semantically integrate it, infer the patient's state from it and deliver coaching/behavior change interventions.

RESULTS

Starting from an initial corpus of 819 unique articles, a total of 180 papers were considered in the full-text analysis and 109 were finally included in the review. Our findings are organized and presented in four main sub-topics consisting of data collection, data integration, predictive modeling and patient coaching.

CONCLUSION

Development of modern decision support systems for cancer needs to utilize best practices like the use of validated electronic questionnaires for quality-of-life assessment, adoption of appropriate information modeling standards supplemented by terminologies/ontologies, adherence to FAIR data principles, external validation, stratification of patients in subgroups for better predictive modeling, and adoption of formal behavior change theories. Open research challenges include supporting emotional and social dimensions of well-being, including PROs in predictive modeling, and providing better customization of behavioral interventions for the specific population of cancer patients.

A narrative review of current evidence supporting the implementation of electronic patient-reported outcome measures in the management of chronic diseases

An application of telemedicine of growing interest and relevance is the use of personal computers and mobile devices to collect patient-reported outcomes (PROs). PROs are self-reports of patients' health status without interpretation by anyone else. The tools developed to assess PROs are known as patient-reported outcomes measures (PROMs). The technological innovations that have led to an increased ownership of electronic devices have also facilitated the development of electronic PROMs (ePROMs). ePROMs are a conduit for telemedicine in the care of patients with chronic diseases. Various studies have demonstrated that the use of ePROMs in routine clinical practice is both acceptable and feasible with patients increasingly expressing a preference for an electronic mode of administration. There is increasing evidence that the use of electronic patient-reported outcome (ePROMs) could have significant impacts on outcomes valued by patients, healthcare providers and researchers. Whilst the development and implementation of these systems may be initially costly and resource-intensive, patient preferences and existing evidence to support their implementation suggests the need for continued research prioritisation in this area. This narrative review summarises and discusses evidence of the impact of ePROMs on clinical parameters and outcomes relevant to chronic diseases. We also explore recently published literature regarding issues that may influence the robust implementation of ePROMs for routine clinical practice.

Phase III Randomized Controlled Trial of eRAPID: eHealth Intervention During Chemotherapy

PURPOSE

Electronic patient self-Reporting of Adverse-events: Patient Information and aDvice (eRAPID) is an online eHealth system for patients to self-report symptoms during cancer treatment. It provides automated severity-dependent patient advice guiding self-management or medical contact and displays the reports in electronic patient records. This trial evaluated the impact of eRAPID on symptom control, healthcare use, patient self-efficacy, and quality of life (QOL) in a patient population treated predominantly with curative intent.

METHODS

Patients with colorectal, breast, or gynecological cancers commencing chemotherapy were randomly assigned to usual care (UC) or the addition of eRAPID (weekly online symptom reporting for 18 weeks). Primary outcome was symptom control (Functional Assessment of Cancer Therapy-General, Physical Well-Being subscale [FACT-PWB]) assessed at 6, 12, and 18 weeks. Secondary outcomes were processes of care (admissions or chemotherapy delivery), patient self-efficacy, and global quality of life (Functional Assessment of Cancer Therapy–General, EQ5D-VAS, and EORTC QLQ-C30 summary score). Multivariable mixed-effects repeated-measures models were used for analyses. Trial registration: ISRCTN88520246.

RESULTS

Participants were 508 consenting patients (73.6% of 690 eligible) and 55 health professionals. eRAPID compared to UC showed improved physical well-being at 6 ( P = .028) and 12 ( P = .039) weeks and no difference at 18 weeks (primary end point) ( P = .69). Fewer eRAPID patients (47%) had clinically meaningful physical well-being deterioration than UC (56%) at 12 weeks. Subgroup analysis found benefit in the nonmetastatic group at 6 weeks ( P = .0426), but not in metastatic disease. There were no differences for admissions or chemotherapy delivery. At 18 weeks, patients using eRAPID reported better self-efficacy ( P = .007) and better health on EQ5D-VAS ( P = .009). Average patient compliance with weekly symptom reporting was 64.7%. Patient adherence was associated with clinician's data use and improved FACT-PWB at 12 weeks.

CONCLUSION

Real-time monitoring with electronic patient-reported outcomes improved physical well-being (6 and 12 weeks) and self-efficacy (18 weeks) in a patient population predominantly treated with curative intent, without increasing hospital workload.

Patient-generated health data and electronic health record integration: a scoping review

Objectives

Patient-generated health data (PGHD) are clinically relevant data captured by patients outside of the traditional care setting. Clinical use of PGHD has emerged as an essential issue. This study explored the evidence to determine the extent of and describe the characteristics of PGHD integration into electronic health records (EHRs).

Methods

In August 2019, we conducted a systematic scoping review. We included studies with complete, partial, or in-progress PGHD and EHR integration within a clinical setting. The retrieved articles were screened for eligibility by 2 researchers, and data from eligible articles were abstracted, coded, and analyzed.

Results

A total of 19 studies met inclusion criteria after screening 9463 abstracts. Most of the study designs were pilots and all were published between 2013 and 2019. Types of PGHD were biometric and patient activity (57.9%), questionnaires and surveys (36.8%), and health history (5.3%). Diabetes was the most common patient condition (42.1%) for PGHD collection. Active integration (57.9%) was slightly more common than passive integration (31.6%). We categorized emergent themes into the 3 steps of PGHD flow. Themes emerged concerning resource requirements, data delivery to the EHR, and preferences for review.

Discussion

PGHD integration into EHRs appears to be at an early stage. PGHD have the potential to close health care gaps and support personalized medicine. Efforts are needed to understand how to optimize PGHD integration into EHRs considering resources, standards for EHR delivery, and clinical workflows.

A real-time electronic symptom monitoring system for patients after discharge following surgery: a pilot study in cancer-related surgery

Background

Advances in peri-operative care of surgical oncology patients result in shorter hospital stays. Earlier discharge may bring benefits, but complications can occur while patients are recovering at home. Electronic patient-reported outcome (ePRO) systems may enhance remote, real-time symptom monitoring and detection of complications after hospital discharge, thereby improving patient safety and outcomes. Evidence of the effectiveness of ePRO systems in surgical oncology is lacking. This pilot study evaluated the feasibility of a real-time electronic symptom monitoring system for patients after discharge following cancer-related upper gastrointestinal surgery.

Methods

A pilot study in two UK hospitals included patients who had undergone cancer-related upper gastrointestinal surgery. Participants completed the ePRO symptom-report at discharge, twice in the first week and weekly post-discharge. Symptom-report completeness, system actions, barriers to using the ePRO system and technical performance were examined. The ePRO surgery system is an online symptom-report that allows clinicians to view patient symptom-reports within hospital electronic health records and was developed as part of the eRAPID project. Clinically derived algorithms provide patients with tailored self-management advice, prompts to contact a clinician or automated clinician alerts depending on symptom severity. Interviews with participants and clinicians determined the acceptability of the ePRO system to support patients and their clinical management during recovery.

Results

Ninety-one patients were approached, of which 40 consented to participate (27 male, mean age 64 years). Symptom-report response rates were high (range 63–100%). Of 197 ePRO completions analysed, 76 (39%) triggered self-management advice, 72 (36%) trigged advice to contact a clinician, 9 (5%) triggered a clinician alert and 40 (20%) did not require advice. Participants found the ePRO system reassuring, providing timely information and advice relevant to supporting their recovery. Clinicians regarded the system as a useful adjunct to usual care, by signposting patients to seek appropriate help and enhancing their understanding of patients’ experiences during recovery.

Conclusion

Use of the ePRO system for the real-time, remote monitoring of symptoms in patients recovering from cancer-related upper gastrointestinal surgery is feasible and acceptable. A definitive randomised controlled trial is needed to evaluate the impact of the system on patients’ wellbeing after hospital discharge.

Describing adverse events in Swiss hospitalized oncology patients using the Global Trigger Tool

BACKGROUND AND AIMS

The occurrence rate of adverse events (AEs) related to care among hospitalized oncology patients in Switzerland remains unknown. The primary objective of this study was to describe, for the first time, the occurrence rate, type, severity of harm, and preventability of AEs related to care, reported in health records of hospitalized hematological and solid-tumor cancer patients in three Swiss hospitals.

METHODS

Using an adapted version of the validated Global Trigger Tool (GTT) from the Institute for Healthcare Improvement, we conducted a retrospective record review of patients discharged from oncology units over a 6-week period during 2018. Our convenience sample included all records from adult patients (≥18 years of age), diagnosed with cancer, and hospitalized (>24 hours). Per the GTT method, two trained nurses independently assessed patient records to identify AEs using triggers, and physicians from the included units analyzed the consensus of the two nurses. Together, they assessed the severity and preventability of each AE.

RESULTS

From the sample of 224 reviewed records, we identified 661 triggers and 169 AEs in 94 of them (42%). Pain related to care was the most frequent AE (n = 29), followed by constipation (n = 17). AEs rates were 75.4 per 100 admissions and 106.6 per 1000 patient days. Most of the identified AEs (78%) caused temporary harm to the patient and required an intervention. Among AEs during hospitalization (n = 125), 76 (61%) were considered not preventable, 28 (22%) preventable, and 21 (17%) undetermined.

CONCLUSION

About half of the hospitalized oncology patients suffered from at least one AE related to care during their hospitalization. Pain, constipation, and nosocomial infections were the most frequent AEs. It is, therefore, essential to identify AEs to guide future clinical practice initiatives to ensure patient safety.

A PRO-cision Medicine Methods Toolkit to Address the Challenges of Personalizing Cancer Care Using Patient-Reported Outcomes: Introduction to the Supplement

Patients are increasingly being asked to complete standardized, validated questionnaires with regard to their symptoms, functioning, and well-being [ie, patient-reported outcomes (PROs)] as part of routine care. These PROs can be used to inform patients' care and management, which we refer to as "PRO-cision Medicine." For PRO-cision Medicine to be most effective, clinicians and patients need to be able to understand what the PRO scores mean and how to act on the PRO results. The papers in this supplement to Medical Care describe various methods that have been used to address these issues. Specifically, the supplement includes 14 papers: 6 describe different methods for interpreting PROs and 8 describe how different PRO systems have addressed interpreting PRO scores and/or acting on PRO results. As such, this "Methods Toolkit" can inform clinicians and researchers aiming to implement routine PRO reporting into clinical practice by providing methodological fundamentals and real-world examples to promote personalized patient care.

Promoting effective use of patient-reported outcomes in clinical practice: themes from a "Methods Tool kit" paper series

OBJECTIVES

"PRO-cision Medicine," using patients' reports of their symptoms, functioning, and well-being to personalize their care, is becoming more prevalent. Patient-reported outcomes (PROs) are assessed using standardized, validated measures. Research shows that clinicians' and patients' understanding of what the PRO scores mean and how to act on them is often suboptimal. Methods to improve interpretation of PRO scores and action based on PRO results can promote more effective use of PROs in practice.

STUDY DESIGN AND SETTING

A recent supplement to Medical Care describes various approaches to address challenges in interpreting and acting on PROs in practice and therefore serves as a "PRO-cision Medicine Methods Tool kit." This commentary provides an overview of the supplement and identifies cross-cutting themes guided by a theoretical framework.

RESULTS

Six papers describe methods for interpreting PROs, and eight papers describe how different PRO systems address interpreting PRO scores and/or acting on PRO results. Based on the theoretical framework, cross-cutting themes are described in terms of (1) providing PRO information, (2) using PRO data, (3) screening for problems and monitoring for changes, and (4) changing management and behavior.

CONCLUSIONS

The PRO-cision Medicine Methods Tool kit provides a useful resource for interpreting and acting on PRO scores to personalize patient care.