Pilot randomized trial of an electronic symptom monitoring and reporting intervention for hospitalized adults undergoing hematopoietic stem cell transplantation

Assessment of Mobility Trajectories Using Wearable Inertial Sensors During Autologous Hematopoietic Cell Transplant

OBJECTIVE

This study aimed to characterize mobility patterns using wearable inertial sensors and serial assessment across autologous hematopoietic cell transplant (autoHCT) and investigate the relation between mobility and perceived function in patients with hematologic cancer.

DESIGN

Prospective longitudinal study.

SETTING

Hospital adult transplant clinic followed by discharge.

PARTICIPANTS

78 patients with hematological cancer receiving autoHCT.

MAIN OUTCOME MEASURES

Mobility was measured across 3 clinical phases (pretransplant, pre-engraftment, and post-engraftment) in using inertial sensors worn during prescribed performance tests in the hospital. Perceived function was assessed using validated provider-reported (Eastern Cooperative Oncology Group [ECOG] Performance Status Scale) and patient-reported [European Organization for Research and Treatment of Cancer Quality of Life Questionnaire [EORTC QLQ-C30]) measures. Trajectories of 5 selected mobility characteristics (turn duration, gait speed, stride time variability, double support time, and heel strike angle) across the clinical phases were also evaluated using piecewise linear mixed-effects models.

RESULTS

Using Principal Components Analysis, 4 mobility patterns were identified pretransplant: Gait Limitation, Sagittal Sway, Coronal Sway, and Balance Control. Gait Limitation measured pretransplant was significantly inversely associated with perceived function reported by the provider- (β = -0.11; 95% CI: -0.19, -0.02) and patient- (β = -4.85; 95% CI: -7.72, -1.99) post-engraftment in age-adjusted linear regression models. Mobility characteristics demonstrated immediate declines early pre-engraftment with stabilization by late pre-engraftment.

CONCLUSION

Patients with hematological cancer experiencing gait limitations pretransplant are likely to have worse perceived function post-engraftment. Mobility declines in early phases post-transplant and may not fully recover, indicating an opportunity for timely rehabilitation referrals. Wearable inertial sensors can be used to identify early mobility problems and patients who may be at risk for future functional decline who may be candidates for early physical rehabilitation.

Effect of non-pharmacological interventions on symptoms and quality of life in patients with hematological malignancies - A systematic review

BACKGROUND

Non-pharmacological interventions have the potential to enhance health-related quality of life (HRQoL) through symptom management. This systematic review aims to identify, collate, and assess randomized controlled trials investigating the effect of non-pharmacological interventions on symptoms and HRQoL within hematology.

METHODS

MEDLINE/PUBMED, EMBASE, CINAHL, PSYCINFO and COCHRANE were searched up to April 2021. Outcomes were changes in symptoms and HRQoL.

RESULTS

Sixty-five studies were categorized into five intervention types: Mind/body (n=9), Web-based (n=9), Music/art (n=6), Consultation-based (n=4), and Physical activity (n=37). We found significantly reduced fatigue (n=12 studies), anxiety (n=8) and depression (n=7), with 11 studies showing significant improvements in HRQoL.

CONCLUSIONS

The evidence for non-pharmacological interventions shows substantial variation in efficacy and methodological quality. While specific symptoms and HRQoL outcomes significantly favored the intervention, no particular intervention can be emphasized as more favorable, given the inability to conduct a meta-analysis.

The effectiveness of symptom management interventions based on electronic patient-reported outcomes (ePROs) for symptom burden, quality of life, and overall survival among patients with cancer: A meta-analysis of randomized controlled trials

OBJECTIVE

To explore the effectiveness of ePRO-based symptom management interventions on symptom burden, quality of life, and overall survival among patients with cancer for the first time and to explore the effects of different types of these interventions.

BACKGROUND

Since advances in screening and treatment have transformed cancer into a chronic illness rather than a fatal disease, symptom management has become increasingly critical in oncology nursing. In recent decades, ePROs have been increasingly used in the symptom management of cancer patients to improve their symptom burden, quality of life and overall survival, but the existing findings are still inconsistent and equivocal.

METHODS

A literature search was conducted in PubMed, Web-of-Science, CENTRAL, and CINAHL-Plus-with-Full-Text from inception to January 31, 2023. The quality of methodology and evidence were evaluated by the revised Cochrane risk-of-bias tool and the Grading of Recommendations, Assessment, Development, and Evaluation framework. All data were analyzed using R within the RStudio platform, and the effects of interventions were determined by calculating SMD, HR and 95 %CI. Subgroup analysis, sensitivity analysis and cumulative meta-analysis were performed, and statistical heterogeneity was examined by I2 statistic, P value, and Egger's or arcsine test. Statistical significance was defined as a two-tailed P value <0.05.

RESULTS

A total of 23 randomized controlled trials with 7231 patients were included. The results indicated that ePRO-based symptom management interventions could improve the symptom burden (SMD = -0.19, 95 % CI [-0.33, -0.05], P < 0.01), quality of life (SMD = 0.16, 95 % CI [0.06, 0.25], P < 0.01) and overall survival (HR = 0.84, 95 % CI [0.73, 0.97], P = 0.02) of cancer patients. Subgroup analysis showed that targeted interventions for patients undergoing specific treatments were effective in relieving the symptom burden and enhancing quality of life. Short-term (≤3 months) interventions or reporting via telephone call contributed to alleviating the symptom burden, while quality of life improved when the intervention was more than three months in duration or not reported by telephone call. The pooled results of symptom burden and quality of life were stable, and the beneficial trends of all three outcomes were steady. The overall quality of methodology and evidence was moderate.

CONCLUSIONS

We found that ePRO-based symptom management interventions are conducive to improving symptom burden, quality of life, and overall survival of cancer patients. In addition to encouraging the integration of ePRO-based interventions into routine oncology care, interventions with tailored plans, proper intensity and multidimensional supports need to be developed in the future to optimize the symptom management of cancer patients.

REGISTRATION

CRD42023393330.

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.

Effectiveness of routine provision of feedback from patient-reported outcome measurements for cancer care improvement: a systematic review and meta-analysis

BACKGROUND

Research shows that feeding back patient-reported outcome information to clinicians and/or patients could be associated with improved care processes and patient outcomes. Quantitative syntheses of intervention effects on oncology patient outcomes are lacking.

OBJECTIVE

To determine the effects of patient-reported outcome measure (PROM) feedback intervention on oncology patient outcomes.

DATA SOURCES

We identified relevant studies from 116 references included in our previous Cochrane review assessing the intervention for the general population. In May 2022, we conducted a systematic search in five bibliography databases using predefined keywords for additional studies published after the Cochrane review.

STUDY SELECTION

We included randomized controlled trials evaluating the effects of PROM feedback intervention on processes and outcomes of care for oncology patients.

DATA EXTRACTION AND SYNTHESIS

We used the meta-analytic approach to synthesize across studies measuring the same outcomes. We estimated pooled effects of the intervention on outcomes using Cohen's d for continuous data and risk ratio (RR) with a 95% confidence interval for dichotomous data. We used a descriptive approach to summarize studies which reported insufficient data for a meta-analysis.

MAIN OUTCOME(S) AND MEASURES(S)

Health-related quality of life (HRQL), symptoms, patient-healthcare provider communication, number of visits and hospitalizations, number of adverse events, and overall survival.

RESULTS

We included 29 studies involving 7071 cancer participants. A small number of studies was available for each metanalysis (median = 3 studies, ranging from 2 to 9 studies) due to heterogeneity in the evaluation of the trials. We found that the intervention improved HRQL (Cohen's d = 0.23, 95% CI 0.11-0.34), mental functioning (Cohen's d = 0.14, 95% CI 0.02-0.26), patient-healthcare provider communication (Cohen's d = 0.41, 95% CI 0.20-0.62), and 1-year overall survival (OR = 0.64, 95% CI 0.48-0.86). The risk of bias across studies was considerable in the domains of allocation concealment, blinding, and intervention contamination.

CONCLUSIONS AND RELEVANCE

Although we found evidence to support the intervention for highly relevant outcomes, our conclusions are tempered by the high risk of bias relating mainly to intervention design. PROM feedback for oncology patients may improve processes and outcomes for cancer patients but more high-quality evidence is required.

Digital Health Interventions for Adult Patients With Cancer Evaluated in Randomized Controlled Trials: Scoping Review

BACKGROUND

Digital care has become an essential component of health care. Interventions for patients with cancer need to be effective and safe, and digital health interventions must adhere to the same requirements.

OBJECTIVE

The purpose of this study was to identify currently available digital health interventions developed and evaluated in randomized controlled trials (RCTs) targeting adult patients with cancer.

METHODS

A scoping review using the JBI methodology was conducted. The participants were adult patients with cancer, and the concept was digital health interventions. The context was open, and sources were limited to RCT effectiveness studies. The PubMed, CINAHL, Embase, Cochrane Library, Research Information Sharing Service, and KoreaMed databases were searched. Data were extracted and analyzed to achieve summarized results about the participants, types, functions, and outcomes of digital health interventions.

RESULTS

A total of 231 studies were reviewed. Digital health interventions were used mostly at home (187/231, 81%), and the web-based intervention was the most frequently used intervention modality (116/231, 50.2%). Interventions consisting of multiple functional components were most frequently identified (69/231, 29.9%), followed by those with the self-manage function (67/231, 29%). Web-based interventions targeting symptoms with the self-manage and multiple functions and web-based interventions to treat cognitive function and fear of cancer recurrence consistently achieved positive outcomes. More studies supported the positive effects of web-based interventions to inform decision-making and knowledge. The effectiveness of digital health interventions targeting anxiety, depression, distress, fatigue, health-related quality of life or quality of life, pain, physical activity, and sleep was subject to their type and function. A relatively small number of digital health interventions specifically targeted older adults (6/231, 2.6%) or patients with advanced or metastatic cancer (22/231, 9.5%).

CONCLUSIONS

This scoping review summarized digital health interventions developed and evaluated in RCTs involving adult patients with cancer. Systematic reviews of the identified digital interventions are strongly recommended to integrate digital health interventions into clinical practice. The identified gaps in digital health interventions for cancer care need to be reflected in future digital health research.

Symptom Burden and Recovery in the First Year After Allogeneic Hematopoietic Stem Cell Transplantation

BACKGROUND

Patients are affected by various symptoms after allogeneic hematopoietic stem cell transplantation (allo-HSCT) that can affect recovery. Research has mainly focused on symptom occurrence; thus, little is known about patients' overall symptom burden.

OBJECTIVE

The aim of this study was to examine patient-reported symptom burden in the first year after allo-HSCT and whether a high symptom burden 4 months after allo-HSCT predicts recovery, that is, general health and sick leave, 1 year after transplantation.

METHODS

Allo-HSCT patients aged 18 to 65 years were included (n = 189). Questionnaire data were collected on admission to the allo-HSCT unit, as well as 4 and 7 months and 1 year after allo-HSCT. Logistic regression evaluated relationships between demographic characteristics, chronic graft-versus-host disease, physical activity, and a high symptom burden.

RESULTS

Tiredness, susceptibility to infection, disinterest in sex, and physical weakness remained the most frequent symptoms, while distressing symptoms varied during the first year after allo-HSCT.Poor general health 1 year after allo-HSCT was associated with older age, low physical activity, and a high symptom burden 4 months after allo-HSCT. Full-time sick leave 1 year after allo-HSCT was associated with chronic graft-versus-host disease, low physical activity, and a high symptom burden 4 months after transplantation.

CONCLUSIONS

Experiencing a high symptom burden 4 months after allo-HSCT can affect recovery 1 year after transplantation. Furthermore, low physical activity 4 months after allo-HSCT can predict both general health and sick leave 1 year after transplantation.

IMPLICATIONS FOR PRACTICE

Repeated symptom assessment, including experienced distress, is central for reducing overall symptom burden and supporting recovery after allo-HSCT.

An implementation study of electronic assessment of patient-reported outcomes in inpatient radiation oncology

Purpose

Despite evidence for clinical benefits, recommendations in guidelines, and options for electronic data collection, routine assessment of patient-reported outcomes (PROs) is mostly not implemented in clinical practice. This study aimed to plan, conduct and evaluate the implementation of electronic PRO (e-PRO) assessment in the clinical routine of an inpatient radiation oncology clinic.

Methods

The guideline- and evidence-based, stepwise approach of this single-center implementation study comprised preparatory analyses of current practice, selection of assessment instruments and times, development of staff training, and evidence-based recommendations regarding the use of the e-PRO assessment, as well as on-site support of the implementation. Process evaluation focused on potential clinical benefit (number of documented symptoms and supportive measures), feasibility and acceptance (patient contacts resulting in completion/non-completion of the e-PRO assessment, reasons for non-completion, preconditions, facilitators and barriers of implementation), and required resources (duration of patient contacts to explain/support the completion).

Results

Selection of instruments and assessment times resulted in initial assessment at admission (EORTC QLQ-C30, QSR 10), daily symptom monitoring (EORTC single items), and assessment at discharge (EORTC QLQ-C30). Recommendations for PRO-based clinical action and self-management advice for patients concerning nine core symptoms were developed. Staff training comprised group and face-to-face meetings and an additional e-learning course was developed. Analyses of clinical records showed that e-PRO assessment identified more symptoms followed by a higher number of supportive measures compared to records of patients without e-PRO assessment. Analysis of n = 1597 patient contacts resulted in n = 1355 (84.9%) completed e-PROs (initial assessment: n = 355, monitoring: n = 967, final assessment: n = 44) and n = 242 (15.2%) non-completions. Instructions or support to complete e-PROs took on average 5.5 ± 5.3 min per patient contact. The most challenging issue was the integration of the results in clinical practice.

Conclusion

E-PRO assessment in oncologic inpatient settings is acceptable for patients and can support symptom identification and the initiation of supportive measures. The challenge of making the “data actionable” within the clinical workflow and motivating clinical staff to use the results became evident.

Supplementary Information

The online version contains supplementary material available at 10.1186/s41687-022-00478-3.

Cancer patients’ perceptions regarding their symptoms and functioning are important as they can differ from a professional assessment. Patients’ perceptions and self-assessment can be collected via electronic devices. Thus, the clinical staff can see a graphic overview of individual disease-related burden. Despite studies indicating the benefit of this assessment for care and symptom management, it is not integrated into routine care so far. The aim of our study was, to plan, conduct and evaluate the implementation of electronic patient-reported assessment in a radio-oncology inpatient clinic under “real-life” clinical conditions instead of study conditions. Patients could complete an electronic assessment at the beginning/end and during their treatment. Results indicate that electronic self-assessment can identify more symptoms than the assessment of physicians and nurses. Patients completing a self-assessment are more likely to receive supportive measures. The majority of 80–90% of patients were willing to complete a self-assessment. On average 5–6 min were needed to explain or support the completion. While the intervention was feasible and acceptable for patients, motivating clinical staff using its results was most challenging. The importance of technical support became evident.

A Comparison of Patient- and Clinician-Reported Acute Toxic Effects During Radiation Therapy for Primary Breast Cancer

PURPOSE

Evidence suggests that cancer treatment-related toxic effects are underreported by clinicians. We sought to compare patient- and clinician-reported acute toxic effects among patients undergoing radiation therapy for primary breast cancer and to determine factors associated with patient-clinician discordance.

METHODS AND MATERIALS

Patient responses from a weekly Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events based assessment were matched to clinician assessments of acute toxic effects during treatment. Weighted κ statistics were used to evaluate agreement between patient and clinician assessments. Linear regression, logistic regression, and generalized estimating equation models were used to identify covariates associated with discordance.

RESULTS

Overall, 842 patient-clinician assessment pairs from 376 unique patients were analyzed. Total symptom burden score was higher for patients than clinicians (4.7 vs 2.3, P < .01). Dermatitis, pruritis, pain, and edema items were classified as having minimal agreement (κ of 0.25, 0.23, 0.20, and 0.25, respectively). Fatigue (κ 0.17) and psychosocial (0.03) patient-clinician pairs were found to have no agreement. The linear regression demonstrated that assessments by patients who identified as Black or African American were associated with a 0.13-point decrease in discordance (95% confidence interval, -0.25 to -0.01), while time from the start of treatment was associated with increased discordance (95% confidence interval, 0.07-0.12).

CONCLUSIONS

For patients undergoing breast radiation therapy, discordance in patient and clinician symptom reporting is high and increases as treatment progresses. The mechanism of reduced discordance among Black or African American patients warrants further investigation. Prospective studies are needed to determine whether interventions for lower severity symptoms, which are commonly overlooked by clinicians, can reduce symptom burden and improve patient quality of life during radiation therapy.

The SMILe integrated care model in allogeneic SteM cell TransplantatIon faciLitated by eHealth: a protocol for a hybrid effectiveness-implementation randomised controlled trial

Background

While effectiveness outcomes of eHealth-facilitated integrated care models (eICMs) in transplant and oncological populations are promising, implementing and sustaining them in real-world settings remain challenging. Allogeneic stem cell transplant (alloSCT) patients could benefit from an eICM to enhance health outcomes. To combat health deterioration, integrating chronic illness management, including continuous symptom and health behaviour monitoring, can shorten reaction times. We will test the 1st-year post-alloSCT effectiveness and evaluate bundled implementation strategies to support the implementation of a newly developed and adapted eICM in allogeneic stem cell transplantation facilitated by eHealth (SMILe–ICM).

SMILe-ICM has been designed by combining implementation, behavioural, and computer science methods. Adaptions were guided by FRAME and FRAME-IS. It consists of four modules: 1) monitoring & follow-up; 2) infection prevention; 3) physical activity; and 4) medication adherence, delivered via eHealth and a care coordinator (an Advanced Practice Nurse). The implementation was supported by contextually adapted implementation strategies (e.g., creating new clinical teams, informing local opinion leaders).

Methods

Using a hybrid effectiveness-implementation randomised controlled trial, we will include a consecutive sample of 80 adult alloSCT patients who were transplanted and followed by University Hospital Basel (Switzerland). Inclusion criteria are basic German proficiency; elementary computer literacy; internet access; and written informed consent. Patients will be excluded if their condition prevents the use of technology, or if they are followed up only at external centres. Patient-level (1:1) stratified randomisation into a usual care group and a SMILe-ICM group will take place 10 days pre-transplantation. To gauge the SMILe–ICM’s effectiveness primary outcome (re-hospitalisation rate), secondary outcomes (healthcare utilization costs; length of inpatient re-hospitalizations, medication adherence; treatment and self-management burden; HRQoL; Graft-versus-Host Disease rate; survival; overall survival rate) and implementation outcomes (acceptability, appropriateness, feasibility, fidelity), we will use multi-method, multi-informant assessment (via questionnaires, interviews, electronic health record data, cost capture methods).

Discussion

The SMILe–ICM has major innovative potential for reengineering alloSCT follow-up care, particularly regarding short- and medium-term outcomes. Our dual focus on implementation and effectiveness will both inform optimization of the SMILe-ICM and provide insights regarding implementation strategies and pathway, understudied in eHealth-facilitated ICMs in chronically ill populations.

Trial registration

ClinicalTrials.gov. Identifier: NCT04789863. Registered April 01, 2021.

Longitudinal Patient Reported Outcomes with CAR-T Cell Therapy Versus Autologous and Allogeneic Stem Cell Transplant

There are limited data on patient experience after chimeric antigen receptor (CAR) T-cell therapy, especially in comparison to autologous and allogeneic transplantation, which are more established forms of cellular therapy. We prospectively evaluated longitudinal patient-reported quality of life (QoL), symptom burden and cognition after CAR-T cell therapy and compared it with prospective cohorts of patients undergoing autologous stem cell transplantation (autoSCT) and allogeneic SCT (alloSCT). This was a single center study. The primary endpoint was change in QoL. Secondary endpoints were patient-reported adverse events (PRO-AEs) measured by Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) and cognitive function (NeuroQOLv2 questionnaire). Time profile of PRO-AEs was evaluated using longitudinal analysis, Toxicity over Time (ToxT). Patients completed questionnaires at baseline, week 2 and monthly for 6 months. One hundred four patients were evaluable (CAR-T: 34, autoSCT: 33, alloSCT: 37). Baseline QoL was similar across groups. We observed a short-term decline in QoL in all groups that gradually returned to baseline. The nadir in QoL was at week 2 and coincided with peak in symptom burden. The decline in overall QoL, physical and functional well-being was significantly less with CAR-T versus SCT groups and returned to baseline faster. Patients in the alloSCT group experienced the greatest symptom burden, greater decrease in performance status, largest short-term decline in QoL and slowest recovery. This study provides comprehensive data comparing QoL, PRO-AEs and cognition following CAR-T cell therapy versus autoSCT and alloSCT, and the first application of ToxT to PRO-CTCAE data. Short-term QOL, including physical and functional domains was better in the CAR-T group versus SCT groups, although all groups experienced an initial decline coinciding with peak symptoms. These data can serve as a guide for patient education, symptom management, and future studies in CAR-T cell therapy.

Routine provision of feedback from patient-reported outcome measurements to healthcare providers and patients in clinical practice

BACKGROUND

Patient-reported outcomes measures (PROMs) assess a patient's subjective appraisal of health outcomes from their own perspective. Despite hypothesised benefits that feedback  on PROMs can support decision-making in clinical practice and improve outcomes, there is uncertainty surrounding the effectiveness of PROMs feedback.

OBJECTIVES

To assess the effects of PROMs feedback to patients, or healthcare workers, or both on patient-reported health outcomes and processes of care.

SEARCH METHODS

We searched MEDLINE, Embase, CENTRAL, two other databases and two clinical trial registries on 5 October 2020. We searched grey literature and consulted experts in the field.

SELECTION CRITERIA

Two review authors independently screened and selected studies for inclusion. We included randomised trials directly comparing the effects on outcomes and processes of care of PROMs feedback to healthcare professionals and patients, or both with the impact of not providing such information.

DATA COLLECTION AND ANALYSIS

Two groups of two authors independently extracted data from the included studies and evaluated study quality. We followed standard methodological procedures expected by Cochrane and EPOC. We used the GRADE approach to assess the certainty of the evidence. We conducted meta-analyses of the results where possible.

MAIN RESULTS

We identified 116 randomised trials which assessed the effectiveness of PROMs feedback in improving processes or outcomes of care, or both in a broad range of disciplines including psychiatry, primary care, and oncology. Studies were conducted across diverse ambulatory primary and secondary care settings in North America, Europe and Australasia. A total of 49,785 patients were included across all the studies. The certainty of the evidence varied between very low and moderate. Many of the studies included in the review were at risk of performance and detection bias. The evidence suggests moderate certainty that PROMs feedback probably improves quality of life (standardised mean difference (SMD) 0.15, 95% confidence interval (CI) 0.05 to 0.26; 11 studies; 2687 participants), and leads to an increase in patient-physician communication (SMD 0.36, 95% CI 0.21 to 0.52; 5 studies; 658 participants), diagnosis and notation (risk ratio (RR) 1.73, 95% CI 1.44 to 2.08; 21 studies; 7223 participants), and disease control (RR 1.25, 95% CI 1.10 to 1.41; 14 studies; 2806 participants). The intervention probably makes little or no difference for general health perceptions (SMD 0.04, 95% CI -0.17 to 0.24; 2 studies, 552 participants; low-certainty evidence), social functioning (SMD 0.02, 95% CI -0.06 to 0.09; 15 studies; 2632 participants; moderate-certainty evidence), and pain (SMD 0.00, 95% CI -0.09 to 0.08; 9 studies; 2386 participants; moderate-certainty evidence). We are uncertain about the effect of PROMs feedback on physical functioning (14 studies; 2788 participants) and mental functioning (34 studies; 7782 participants), as well as fatigue (4 studies; 741 participants), as the certainty of the evidence was very low. We did not find studies reporting on adverse effects defined as distress following or related to PROM completion.

AUTHORS' CONCLUSIONS

PROM feedback probably produces moderate improvements in communication between healthcare professionals and patients as well as in diagnosis and notation, and disease control, and small improvements to quality of life. Our confidence in the effects is limited by the risk of bias, heterogeneity and small number of trials conducted to assess outcomes of interest. It is unclear whether   many of these improvements are clinically meaningful or sustainable in the long term. There is a need for more high-quality studies in this area, particularly studies which employ cluster designs and utilise techniques to maintain allocation concealment.

Challenges in the implementation of electronic systems for patient report of symptoms in oncology: a scoping review

Background

Under-recognition and under-treatment of symptoms are prevalent throughout the health care system in the United States. While the reasons for this are complex, it is widely recognized that electronic symptom reports can improve clinicians' ability to manage symptoms. However, electronic symptom reporting has yet to be widely implemented. Electronic systems are most effective when tailored to the specific patient population or clinical setting. For example, numerous oncology-focused electronic symptom reporting systems have been developed for patients with cancer undergoing treatment in the United States. The objective of this scoping review was to identify challenges that arose in the implementation of electronic systems for patient-reported symptoms in oncology clinical practice, and approaches that were taken or recommended to overcome those challenges.

Methods

This scoping review involved comprehensive searches of Medline, CINAHL, and the Cochrane Central Register of Controlled Trials, which yielded 3,133 articles. Following screening, 20 research studies met the inclusion criteria and were included in this review. Data were systematically extracted from the articles using a qualitative content analysis.

Results

Challenges identified were thematically categorized as technical issues, system usability issues, patient lack of comfort/knowledge of technology, incomplete/missing data, lack of patient use of the system, other patient issues, difficulties timing completion with clinical processes, lack of clinic staff involvement/engagement, and lack of clinician comfort/knowledge regarding the use of patient-reported outcome data.

Discussion

The findings of this review highlight challenges that need to be addressed when implementing an electronic symptom reporting system for patients with cancer, and potential strategies for overcoming these challenges. This review may help hospital administrators and clinicians prepare for and improve the implementation of electronic symptom reporting systems into clinical practice, thereby providing evidence to enable their broader use.

Development and Pilot Implementation of a Remote Monitoring System for Acute Toxicity Using Electronic Patient-Reported Outcomes for Patients Undergoing Radiation Therapy for Breast Cancer

PURPOSE

We aimed to develop and study the implementation of a remote system for toxicity assessment and management of acute side effects of breast radiation using electronic patient-reported outcomes (ePROs).

METHODS AND MATERIALS

A response-adapted Patient-Reported Outcomes Common Terminology Criteria for Adverse Events-based assessment for breast radiation toxicity was administered weekly during and for 8 weeks after radiation from June 2019 to July 2020. The care team received alerts when "severe" symptoms were reported by patients, who were then contacted. Treatment, clinic, and sociodemographic characteristics were abstracted from patient records. A subsample of patients and care team members was qualitatively interviewed at follow-up.

RESULTS

Overall, 5787 assessments were sent to 678 patients, of whom 489 (72%) completed 2607 assessments (45%). Moderate or greater toxicity was reported by 419 responders (86%; 95% CI, 82%-89%). Clinician alerts for severe toxicity were generated for 264 assessments among 139 unique patients, of which 83% occurred posttreatment. The proportion of surveys that prompted an alert was significantly higher after treatment (219 [13%]) than during treatment (45 [5%]) (P < .001). Survey completion rates in the posttreatment period were higher among patients undergoing partial breast irradiation than postmastectomy radiation (incidence rate ratio, 0.70; 95% CI, 0.60-0.81) (P < .001) despite these patients experiencing less severe toxicity. Interviews (15) found that patients had a positive experience with ePROs, although many thought the primary purpose was for research rather than symptom management.

CONCLUSIONS

With the majority of toxicity occurring after breast radiation has ended, remote symptom monitoring with ePROs appears to fill a gap in clinical practice, particularly for patients undergoing shorter courses of radiation. It is important to properly onboard patients and explain that the purpose of ePROs is to aid clinical care. Further research is needed to determine whether the costs associated with ePROs can be offset by reducing routine clinic visits and whether this approach is acceptable and appropriate.

Development of an integrated model of care for allogeneic stem cell transplantation facilitated by eHealth-the SMILe study

Purpose

Allogeneic stem cell transplantation would benefit from re-engineering care towards an integrated eHealth-facilitated care model. With this paper we aim to: (1) describe the development of an integrated care model (ICM) in allogeneic SteM-cell-transplantatIon faciLitated by eHealth (SMILe) by combining implementation, behavioral, and computer science methods (e.g., contextual analysis, Behavior Change Wheel, and user-centered design combined with agile software development); and (2) describe that model’s characteristics and its application in clinical practice.

Methods

The SMILe intervention’s development consisted of four steps, with implementation science methods informing each: (1) planning its set-up within a theoretical foundation; (2) using behavioral science methods to develop the content; (3) choosing and developing its delivery method (human/technology) using behavioral and computer science methods; and (4) describing its characteristics and application in clinical practice.

Results

The SMILe intervention is embedded within the eHealth enhanced Chronic Care Model, entailing four self-management intervention modules, targeting monitoring and follow-up of important medical and symptom-related parameters, infection prevention, medication adherence, and physical activity. Interventions are delivered partly face-to-face by a care coordinator embedded within the transplant team, and partly via the SMILeApp that connects patients to the transplant team, who can monitor and rapidly respond to any relevant changes within 1 year post-transplant.

Conclusion

This paper provides stepwise guidance on how implementation, behavioral, and computer science methods can be used to develop interventions aiming to improve care for stem cell transplant patients in real-world clinical settings. This new care model is currently being tested in a hybrid I effectiveness-implementation trial.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00520-021-06328-0.

Next-Generation Implementation of Chimeric Antigen Receptor T-Cell Therapy Using Digital Health

Chimeric antigen receptor T-cell (CAR-T) therapy is a paradigm-shifting immunotherapy modality in oncology; however, unique toxicities such as cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome limit its ability to be implemented more widely in the outpatient setting or at smaller-volume centers. Three operational challenges with CAR-T therapy include the following: (1) the logistics of toxicity monitoring, ie, with frequent vital sign checks and neurologic assessments; (2) the specialized knowledge required for toxicity management, particularly with regard to CRS and immune effector cell-associated neurotoxicity syndrome; and (3) the need for high-quality symptomatic and supportive care during this intensive period. In this review, we explore potential niches for digital innovations that can improve the implementation of CAR-T therapy in each of these domains. These tools include patient-facing technologies and provider-facing platforms: for example, wearable devices and mobile health apps to screen for fevers and encephalopathy, electronic patient-reported outcome assessments-based workflows to assist with symptom management, machine learning algorithms to predict emerging CRS in real time, clinical decision support systems to assist with toxicity management, and digital coaching to help maintain wellness. Televisits, which have grown in prominence since the novel coronavirus pandemic, will continue to play a key role in the monitoring and management of CAR-T-related toxicities as well. Limitations of these strategies include the need to ensure care equity and stakeholder buy-in, both operationally and financially. Nevertheless, once developed and validated, the next-generation implementation of CAR-T therapy using these digital tools may improve both its safety and accessibility.

National Institutes of Health Consensus Development Project on Criteria for Clinical Trials in Chronic Graft-versus-Host Disease: IIa. The 2020 Clinical Implementation and Early Diagnosis Working Group Report

Recognition of the earliest signs and symptoms of chronic graft-versus-host disease (GVHD) that lead to severe manifestations remains a challenge. The standardization provided by the National Institutes of Health (NIH) 2005 and 2014 consensus projects has helped improve diagnostic accuracy and severity scoring for clinical trials, but utilization of these tools in routine clinical practice is variable. Additionally, when patients meet the NIH diagnostic criteria, many already have significant morbidity and possibly irreversible organ damage. The goals of this early diagnosis project are 2-fold. First, we provide consensus recommendations regarding implementation of the current NIH diagnostic guidelines into routine transplant care, outside of clinical trials, aiming to enhance early clinical recognition of chronic GVHD. Second, we propose directions for future research efforts to enable discovery of new, early laboratory as well as clinical indicators of chronic GVHD, both globally and for highly morbid organ-specific manifestations. Identification of early features of chronic GVHD that have high positive predictive value for progression to more severe manifestations of the disease could potentially allow for future pre-emptive clinical trials.

Advancing Oncology Nursing Practice Through the Adoption of Patient Monitoring Digital Tools

OBJECTIVE

The objective of this paper is to describe the use of oncology digital symptom monitoring and patient self-management coaching tools, how nurses and nurse practitioners (NPs) can optimize their use as an adjunct in improving oncology care and discuss issues and strategies needed for adoption within a variety of clinical settings.

DATA SOURCES

A review of the research literature regarding digital health in oncology symptom management in PubMed provided the foundation for this paper.

CONCLUSION

Digital symptom monitoring technology provides a variety of opportunities for oncology nurses and NPs to efficiently extend and improve symptom management in multiple settings including cancer patients at home between clinic visits, at clinic visits, and during inpatient stays. Digital monitoring and patient engagement make possible frequent symptom assessments, just-in-time personalized self-management reinforcement, and judiciously alert nurses and NPs about key times for follow-up with patients supported with evidenced-based guidelines. Oncology nurses at all levels have the opportunity to be leaders in the adoption and expansion of digital tools to enhance their practice.

IMPLICATIONS FOR NURSING PRACTICE

Oncology nurses and NPs can lead practice changes that improve patient outcomes through understanding and shaping the use of digital tools.