Automated symptom alerts reduce postoperative symptom severity after cancer surgery: a randomized controlled clinical trial

Feasibility of frequent patient-reported outcome surveillance in patients undergoing hematopoietic cell transplantation

Patient-reported outcomes (PROs), including symptoms and health-related quality of life (HRQOL), provide a patient-centered description of hematopoietic cell transplantation (HCT)-related toxicity. These data characterize the patient experience after HCT and may have prognostic usefulness for long-term outcomes after HCT. We conducted a study of 32 patients after HCT (10 autologous HCT recipients, 11 full-intensity conditioning allogeneic HCT recipients, and 11 reduced-intensity conditioning allogeneic HCT recipients) to determine the feasibility of weekly electronic PRO collection from HCT until day (D) +100. We used questions from the PRO version of the Common Terminology Criteria for Adverse Events to capture symptoms, and the Patient-Reported Outcomes Measurement Information System Global Health scale to measure physical and mental HRQOL. The vast majority (94%) of patients used the electronic PRO system, with only 6% opting for paper-and-pencil only. The median weekly percentage of participants who completed the surveys was 100% in all cohorts through hospital discharge, and remained 100% for the autologous HCT and reduced-intensity allogeneic HCT cohorts through D+100. Patients were satisfied with the electronic system, giving high marks for readability, comfort, and questionnaire length. Symptom severity varied by absolute level and type of symptom across the 3 cohorts, with the full-intensity allogeneic HCT cohort exhibiting the greatest median overall symptom severity, peaking at D+7. Median physical health HRQOL scores decreased with time in the 3 cohorts, and HRQOL was generally correlated with overall symptom severity. Our results demonstrate the feasibility of frequent electronic PROs in the early post-HCT period. Future studies in larger populations to explore predictive models using frequent PRO data for outcomes, including long-term HRQOL and survival, are warranted.

Do high symptom scores trigger clinical actions? An audit after implementing electronic symptom screening

PURPOSE

Standardized, electronic, symptom assessment is purported to help identify symptom needs. However, little research examines clinical processes related to symptom management, such as whether patients with worsening symptoms receive clinical actions more often. This study examined whether patient visits with higher symptom scores are associated with higher rates of symptom documentation in the chart and symptom-specific actions being taken.

METHODS

Retrospective chart reviews on cancer patient visits at a regional cancer center. An electronic Edmonton Symptom Assessment Scale (ESAS), a validated tool to measure symptoms, was implemented center-wide to standardize symptom screening at every patient visit. The independent variable was ESAS scores for pain and shortness of breath, categorized by severity: 0 (none), 1-3, 4-6, 7-10 (severe). Outcomes included symptom documentation in the chart on the visit date and symptom-related action(s) taken within 1 week.

RESULTS

Nine hundred twelve visits were identified. Pain and shortness of breath were documented in 51.8% and 29.7% of charts, and a related-action occurred in 16.9% and 3.9% of charts, respectively. As ESAS severity score category increased from none to severe, the proportion of visits with pain documented increased significantly (36.9%, 49.2%, 55.2%, and 71.4%; P < .001). Likewise, as ESAS score severity increased, the proportion of visits with a pain-related action increased significantly (4.2%, 10.6%, 21.3%, and 37.0%; P < .001). Trends were similar for shortness of breath.

CONCLUSION

Results show a positive association between higher symptom scores and higher rates of documentation and clinical actions taken. However, symptom-related actions were documented in a minority of visits in which symptoms were noted as severe.

A prospective study of the feasibility and acceptability of a Web-based, electronic patient-reported outcome system in assessing patient recovery after major gynecologic cancer surgery

PURPOSE

The purposes of this study are to evaluate the feasibility of capturing patient-reported outcomes (PROs) electronically and to identify the most common distressing symptoms in women recovering from major gynecologic cancer surgery.

METHODS

This was a prospective, single-arm pilot study. Eligible participants included those scheduled for a laparotomy for presumed or known gynecologic malignancy. Patients completed a Web-based "STAR" (Symptom Tracking and Reporting for Patients) questionnaire once preoperatively and weekly during the 6-week postoperative period. The questionnaire consisted of the patient adaptation of the NCI CTCAE 3.0 and EORTC QLQ-C30 3.0. When a patient submitted a response that was concerning, an automated email alert was sent to the clinician. The patient's assessment of STAR's usefulness was measured via an exit survey.

RESULTS

Forty-nine patients completed the study. The procedures included the following: hysterectomy±staging (67%), resection of tumor (22%), salpingo-oophorectomy (6%), and other (4%). Most patients (82%) completed at least 4 sessions in STAR. The CTC generated 43 alerts. These alerts resulted in 25 telephone contacts with patients, 2 ER referrals, one new appointment, and one pharmaceutical prescription. The 3 most common patient-reported symptoms generating an alert were as follows: poor performance status (19%), nausea (18%), and fatigue (17%). Most patients found STAR useful (80%) and would recommend it to others (85%).

CONCLUSION

Application of a Web-based, electronic STAR system is feasible in the postoperative period, highly accepted by patients, and warrants further study. Poor performance status, nausea, and fatigue were the most common distressing patient-reported symptoms.

Harmonized patient-reported data elements in the electronic health record: supporting meaningful use by primary care action on health behaviors and key psychosocial factors

BACKGROUND

Electronic health records (EHR) have the potential to improve patient care through efficient access to complete patient health information. This potential may not be reached because many of the most important determinants of health outcome are rarely included. Successful health promotion and disease prevention requires patient-reported data reflecting health behaviors and psychosocial issues. Furthermore, there is a need to harmonize this information across different EHR systems.

METHODS

To fill this gap a three-phased process was used to conceptualize, identify and recommend patient-reported data elements on health behaviors and psychosocial factors for the EHR. Expert panels (n=13) identified candidate measures (phase 1) that were reviewed and rated by a wide range of health professionals (n=93) using the grid-enabled measures wiki social media platform (phase 2). Recommendations were finalized through a town hall meeting with key stakeholders including patients, providers, researchers, policy makers, and representatives from healthcare settings (phase 3).

RESULTS

Nine key elements from three areas emerged as the initial critical patient-reported elements to incorporate systematically into EHR--health behaviors (eg, exercise), psychosocial issues (eg, distress), and patient-centered factors (eg, demographics). Recommendations were also made regarding the frequency of collection ranging from a single assessment (eg, demographic characteristics), to annual assessment (eg, health behaviors), or more frequent (eg, patient goals).

CONCLUSIONS

There was strong stakeholder support for this initiative reflecting the perceived value of incorporating patient-reported elements into EHR. The next steps will include testing the feasibility of incorporating these elements into the EHR across diverse primary care settings.

Benefits of remote real-time side-effect monitoring systems for patients receiving cancer treatment

In Australia, the incidence of cancer diagnoses is rising along with an aging population. Cancer treatments, such as chemotherapy, are increasingly being provided in the ambulatory care setting. Cancer treatments are commonly associated with distressing and serious side-effects and patients often struggle to manage these themselves without specialized real-time support. Unlike chronic disease populations, few systems for the remote real-time monitoring of cancer patients have been reported. However, several prototype systems have been developed and have received favorable reports. This review aimed to identify and detail systems that reported statistical analyses of changes in patient clinical outcomes, health care system usage or health economic analyses. Five papers were identified that met these criteria. There was wide variation in the design of the monitoring systems in terms of data input method, clinician alerting and response, groups of patients targeted and clinical outcomes measured. The majority of studies had significant methodological weaknesses. These included no control group comparisons, small sample sizes, poor documentation of clinical interventions or measures of adherence to the monitoring systems. In spite of the limitations, promising results emerged in terms of improved clinical outcomes (e.g. pain, depression, fatigue). Health care system usage was assessed in two papers with inconsistent results. No studies included health economic analyses. The diversity in systems described, outcomes measured and methodological issues all limited between-study comparisons. Given the acceptability of remote monitoring and the promising outcomes from the few studies analyzing patient or health care system outcomes, future research is needed to rigorously trial these systems to enable greater patient support and safety in the ambulatory setting.

Feasibility study of a clinically-integrated randomized trial of modifications to radical prostatectomy

Abstract

Trial registration

ClinicalTrials.gov NCT00928850

Pretransplantation assessments and symptom profiles: predicting transplantation-related toxicity and improving patient-centered outcomes

With the advent of reduced-intensity conditioning regimens and improvements in supportive care, hematopoietic cell transplantation (HCT) has become increasingly available to older adults and medically vulnerable populations with hematologic diseases. However, adverse outcomes including long-term treatment-related distress, disability (frailty), and death remain important concerns in this population. In other areas of oncology, comprehensive geriatric assessments have been used to stratify patients for treatment-related risk, and patient-reported outcomes (PROs) have helped in understanding treatment-related toxicity from a patient perspective. However, these powerful tools have not yet become widely used in HCT. Here, we review the theories and available data that support the development of pretreatment functional assessments and longitudinal PRO sampling in HCT. We discuss the potential for these techniques to improve transplantation outcomes through risk stratification, interventional studies, and predictive models that incorporate genetic and biomarker data. Predicting and understanding long-term transplantation-related toxicity through functional assessments and PROs will be critical to calculating the risk/benefit ratio of aggressive therapies in older patient populations, and we contend that functional assessments and PRO sampling should become standard parts of the routine evaluation of HCT patients.