Patient Use of Electronic Methods to Self-Report Symptoms: An Integrative Literature Review

Patient-Reported Outcome Measures as an Intervention: A Comprehensive Overview of Systematic Reviews on the Effects of Feedback

OBJECTIVES

Patient-reported outcome measures (PROMs) have emerged as a promising approach to involve patients in their treatment process. Beyond serving as outcome measures, PROMs can be applied to provide feedback to healthcare providers and patients, thereby offering valuable insights that can improve health outcomes and care processes. This overview offers a comprehensive synthesis of the effects of PROM feedback, contributing to the evidence-based discussion on PROMs' potential to enhance patient care.

METHODS

Following Cochrane Collaboration recommendations, this overview included literature reviews across diverse treatment areas, investigating the impact of PROM feedback on patient health outcomes (including quality of life, symptoms, or survival) and care process outcomes (including communication, symptom identification, or clinical practice). The methodological quality of the evidence was assessed with a modified version of A Measurement Tool to Assess Systematic Reviews 2, and the potential overlap of primary studies was quantified. Results were narratively synthesized.

RESULTS

Forty reviews grouped into 4 categories of treatment areas were included. Overall, their methodological quality was low. The overall overlap of primary studies was 2.2%, reaching up to 15.7% within specific treatment areas. The results indicate that PROM feedback may enhance the quality-of-care processes, whereas its effects on patient health outcomes remained less conclusive.

CONCLUSIONS

PROM feedback positively influences the interaction between physicians and patients across the included treatment areas. Further research is needed to comprehend the trickle-down effects of PROM feedback and how to enhance its potential in yielding health benefits for patients.

Examining the Effectiveness of Electronic Patient-Reported Outcomes in People With Cancer: Systematic Review and Meta-Analysis

BACKGROUND

Electronic patient-reported outcomes (ePROs) are commonly used in oncology clinical practice and have shown benefits for patients and health resource use.

OBJECTIVE

The aim of this study was to compare the isolated effect of administering ePROs to patients with cancer versus a control condition.

METHODS

The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed. Randomized controlled trials evaluating ePRO interventions that aimed to improve health-related outcomes among patients with cancer were included. The primary outcome was health-related quality of life (HRQOL), and the secondary outcomes were symptoms, hospital admissions, unplanned visits, chemotherapy completion, survival, and satisfaction with care. The effect sizes of ePROs on health-related outcomes were analyzed as standardized mean differences (SMDs) with 95% CIs using a random effects model.

RESULTS

The search identified 10,965 papers, of which 19 (0.17%) from 15 studies were included. The meta-analysis showed an improvement in HRQOL at 3 months, measured by the Functional Assessment of Cancer Therapy-General (SMD 0.28, 95% CI -1.22 to 1.78), and at 6 months, assessed using various HRQOL measures (SMD 0.07, 95% CI -1.24 to 1.39). The results should be interpreted with caution, given the wide 95% CIs. Of the 15 studies, 9 (60%) reported a positive signal on HRQOL, with two-thirds of the studies (n=6, 67%) including tailored patient advice and two-thirds (n=6, 67%) using clinician alert systems.

CONCLUSIONS

The meta-analysis showed a potential improvement in HRQOL at 6 months and in Functional Assessment of Cancer Therapy-General scores at 3 months for studies that included tailored advice and clinician alerts, suggesting that these elements may improve ePRO effectiveness. The findings will provide guidance for future use and help health care professionals choose the most suitable ePRO features for their patients.

TRIAL REGISTRATION

PROSPERO CRD42020175007; https://tinyurl.com/5cwmy3j6.

Needs of Lung Cancer Patients Receiving Immunotherapy and Acceptance of Digital and Sensor-Based Scenarios for Monitoring Symptoms at Home—A Qualitative-Explorative Study

Background: The development of immunotherapy in the treatment for lung cancer has changed the outlook for both patients and health care practitioners. However, reporting and management of side effects are crucial to ensure effectiveness and safety of treatment. The aim of this study was to learn about the subjective experiences of patients with lung cancer receiving immunotherapy and to explore their potential acceptance of digital and sensor-based systems for monitoring treatment-related symptoms at home. Methods: A qualitative-explorative interview study with patients with lung cancer (n = 21) applying qualitative content analysis. Results: Participants had trouble to classify and differentiate between symptoms they experienced and it seemed challenging to assess whether symptoms are serious enough to be reported and to figure out the right time to report symptoms to health care practitioners. We identified four basic needs: (1) the need to be informed, (2) the need for a trustful relationship, (3) the need to be taken seriously, and (4) the need for needs-oriented treatment concepts. The idea of digital and sensor-based monitoring initially provoked rejection, but participants expressed more differentiated attitudes during the interviews, which could be integrated into a preliminary model to explain the acceptance of digital and sensor-based monitoring scenarios. Conclusions: Supporting lung cancer patients and their health care providers in communicating about treatment-related symptoms is important. Technology-based monitoring systems are considered to be potentially beneficial. However, in view of the many unfulfilled information needs and the unsatisfactory reporting of symptoms, it must be critically questioned what these systems can and should compensate for, and where the limits of such monitoring lie.

The Effect of Nursing Management of Patients Undergoing Interventional Therapy for Liver Cancer Compared with Standard Care on Patient-Reported Outcomes

BACKGROUND

To investigate the efficacy of individualized symptom management based on patients' self-reports during interventional therapy (IT) for liver cancer.

METHODS

Patients with liver cancer who received IT at First Affiliated Hospital of ****** University from April to August 2019 were apportioned to either an intervention or control group (n = 70 each). The control group received routine nursing care and the intervention group received a nursing management program. The severity of specific symptoms, as measured by the Karnofsky Performance Scale (KPS), and satisfaction with nursing care, were analyzed.

RESULTS

Compared to the control group, patients given individualized management experienced significantly less severe pain, nausea, anxiety, and fatigue (p < .05). The scores for KPS and satisfaction with care were both significantly improved in the intervention group than in the control group (p < .05).

CONCLUSION

This high-quality nursing management program predicated on patients' self-reports is worthy of clinical application and popular adoption.

Rapid Electronic Capturing of Patient-Reported Outcome Measures in Older Adults With End-Stage Renal Disease: A Feasibility Study

BACKGROUND

Patients with end-stage renal disease (ESRD) have a high burden of physical and psychological symptoms. Many remain unrecognized for long periods of time, particularly in older adults. The best strategy to monitor patient-reported outcome measures (PROMs) has not been identified.

OBJECTIVE

To assess the feasibility of implementing an iPad-based symptom assessment tool in older adults with ESRD on hemodialysis (HD).

METHODS

We designed an iPad application-delivery system for collecting electronic PROMs (ePROMs). Patient's ≥60 years of age with ESRD on HD were recruited from a single outpatient dialysis unit. Feasibility was evaluated based on recruitment, retention, and the system usability score (SUS). Assessments were completed at baseline, 3 months, and 6 months after enrollment. ANOVA was used to assess longitudinal symptom variability.

RESULTS

Twenty-two patients (49% recruitment rate) were enrolled, with an 82% retention at 6 months. Mean age was 69.4 years (SD 6.6), 63.6% were female, and 81.8% were African American. Participants reported minimal difficulty in using the app, with an overall SUS score of 77.6. There were no significant relationships between demographic characteristics (age, race, or education) and SUS. Baseline SF-12 physical score and SF-12 mental score were 40.4 (SD 9.1) and 33.9 (SD 6.7), respectively. No significant changes were seen in longitudinal ePROMs of pain, depression, or anxiety; but was seen in the dialysis symptom index.

CONCLUSION

In older patients with ESRD, collection of iPad-based ePROMs is feasible. This process can overcome inefficiencies associated with paper questionnaires and enable systematic monitoring of symptom burden.

Patients' Communication Preferences Around Cancer Symptom Reporting During Cancer Treatment: A Phenomenological Study

Background:

The purpose of this descriptive phenomenological study was to gain an in-depth understanding of cancer patients’ experiences and perspectives on self-reporting their symptoms. Patients with cancer experience a wide variety of symptoms from both their disease and treatment, yet clinicians are often unaware of their patients’ symptoms due to poor reporting methods. Poorly documented symptoms are more likely to go untreated, causing increased symptom distress and decreased quality of life for patients. Effective, real-time communication between patients and health-care practitioners is key to symptom assessment and management. Moreover, it is important for patients’ communication preferences to be taken into account when developing symptom management plans.

Methods:

This qualitative study focused on the symptom reporting experiences of 13 adults in the United States with advanced or metastatic cancer who were undergoing systemic cancer treatment. Data were collected via interviews.

Results:

The findings revealed that a personalized symptom management plan, prompt reporting, and timely communication with health-care practitioners improved patients’ physical and emotional wellbeing.

Conclusions:

A better understanding of cancer patients’ experiences self-reporting their symptoms may lead to improved communication methods and more effective reporting systems, which ultimately reduce patient burden and enhance patients’ self-advocacy. Ensuring that patients’ preferences for reporting their symptoms are met may positively influence the likelihood and timeliness of symptom self-reporting. Developing new and improved ways for health-care teams to manage symptoms is vital to improving patients’ quality of life.

Electronic Patient-Reported Outcome Measures Evaluating Cancer Symptoms: A Systematic Review

OBJECTIVES

This systematic review aims to evaluate the psychometric properties and the methodologic quality of studies describing smartphone-, tablet- or computer-based questionnaires for Patient-Reported Outcome Measures (PROM) evaluating symptoms in oncology and hematology patients.

DATA SOURCES

A literature search was conducted in PubMed, Scopus, Cochrane, Cinahl, Cuiden, Lilacs, and PsycINFO. Criteria for inclusion were (i) primary studies evaluating scales for symptoms assessment, (ii) developed in adult population (>18 years) with an oncology or hematology malignancy diagnosis, (iii) validations tested via phone or computer, and (iv) describing at least one psychometric property. The exclusion criteria were (i) tools diagnosing any type of cancer and (ii) case series, surveys, and audits. The outcome variables were internal consistency, test-retest reliability, measurement error, content validity, structural validity, hypothesis testing, cross-cultural validity, and responsiveness. For the evaluation of the quality of methodology, the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) checklist was used.

CONCLUSION

The present study gathered five tools in 12 articles to evaluate cancer symptoms through smartphone, tablet, or computer format. Although four were generic, one was specific for breast cancer. Although none of the tools had been fully validated, some of the items of the Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) were successfully tested for content, reliability, construct validity, and responsiveness.

IMPLICATIONS FOR NURSING PRACTICE

Our results can guide professionals choosing symptoms assessment instruments when performing telepractice, and they raise awareness of using with precaution scales not intended for remote use.

Acceptance and Use of Home-Based Electronic Symptom Self-Reporting Systems in Patients With Cancer: Systematic Review

BACKGROUND

Electronic symptom self-reporting systems (e-SRS) have been shown to improve symptoms and survival in patients with cancer. However, patient engagement in using e-SRS for voluntary symptom self-reporting is less optimal. Multiple factors can potentially affect patients' acceptance and engagement in using home-based e-SRS. However, such factors have not been fully explored in cancer populations.

OBJECTIVE

The aim of this study is to understand the acceptance and use of home-based e-SRS by patients with cancer and identify associated facilitators and barriers.

METHODS

PubMed, CINAHL, Scopus, and PsycINFO (January 2010 to March 2020) were searched using a combination of Medical Subject Headings (MeSH) terms and keywords such as symptom self-reporting, electronic/technology, cancer, and their synonyms. Included studies focused on the use of home-based e-SRS by patients with cancer and their families. Studies on patients' use of e-SRS in clinical settings only were excluded. Of the 3740 papers retrieved, 33 were included in the final review. Factors associated with patient acceptance and use of e-SRS were extracted and synthesized.

RESULTS

Most e-SRS were web based (22/33, 66%) or mobile app based (9/33, 27%). The e-SRS initial acceptance, represented by patient enrollment rates, ranged from 40% (22/55) to 100% (100/100). High e-SRS acceptance was rated by 69% (59/85) to 77.6% (337/434) of the patients after they used the system. The e-SRS use, measured by patients' response rates to questionnaires (ranging from 1596/3521, 45.33% to 92%) or system log-on rates (ranging from 4/12, 33% to 99/100, 99%), declined over time in general patterns. Few studies (n=7) reported e-SRS use beyond 6 months, with the response rates ranging from 62% (40/64) to 85.1% (541/636) and the log-on rates ranging from 63.6% (103/162) to 77% (49/64). The availability of compatible devices and technical support, interactive system features, information accessibility, privacy, questionnaire quality, patient physical/psychosocial status, and age were associated with patient acceptance and use of home-based e-SRS.

CONCLUSIONS

Acceptance and use of home-based e-SRS by patients with cancer varied significantly across studies, as assessed by a variety of approaches. The lack of access to technology has remained a barrier to e-SRS adoption. Interactive system features and personalized questionnaires may increase patient engagement. More studies are needed to further understand patients' long-term use of home-based e-SRS behavior patterns to develop personalized interventions to support symptom self-management and self-reporting of patients with cancer for optimal health outcomes.

The Self-management Smartphone Application for Cancer Survivors, ReLive: Development and Usability Testing

ReLive is a nursing theory-driven and evidence-based smartphone application that aims to promote self-management among cancer survivors. It has been designed to display symptom measurement results in different traffic light colors, depending on the severity of a user's symptoms (eg, severe symptoms are presented in red). Therefore, it is easy for users to draw inferences about changes in their symptoms. Further, users can simultaneously set several physical activity goals and monitor their performance. Social support, self-efficacy, and quality of life of a user can also be monitored regularly. This study investigated the usability of this application. An iterative formative test, including a cognitive walkthrough and face-to-face interviews, was conducted. Participants were seven individuals with a diagnosis of chronic myeloid leukemia. The ease of use and understanding, acceptability, and usefulness of the application were evaluated. The results revealed that the participants had evaluated ReLive positively. This program could be used as an intervention to deliver health information and manage their performance. Further research is needed to assess the application's effects on self-management among survivors of various types of cancers.

Differences in the Intended Meaning of Congestion Between Patients and Clinicians

Importance

Disagreement in the presumed meaning of common medical terms may impair communication between patients and caregivers.

Objective

To clarify the intended meaning of the term congestion among otolaryngology clinic patients and to identify discrepancies in definitions between patients and otolaryngologists.

Design, Setting, and Participants

In this cross-sectional survey study from an otolaryngology clinic at an academic center, a semantics-based questionnaire was provided to consecutive new patients during intake for a clinical encounter from December 2016 through February 2017, and to 31 otolaryngologists and 28 nonotolaryngologist physicians in February 2018. Respondent definitions for congestion were selected from a list of 16 proposed terms covering 4 general categories.

Main Outcome and Measures

Symptom categories for term used to describe congestion by patients and clinicians.

Results

Among 226 patient respondents (133 female [58.8%]; mean [SD] age, 54 [15.6] years), the most commonly selected definitions for congestion were from the obstructive (199; 88.1%) and mucus-related (196; 86.7%) symptom categories. More than 1 general category was selected by 208 patients (92.0%), whereas 11 patients (4.9%) described congestion only in terms of mucus-related symptoms. Definitions were limited to upper respiratory tract symptoms by 83 (36.7%) patients and lower respiratory tract symptoms by 2 (0.9%) patients. Among 31 otolaryngologists, congestion was most frequently defined in terms of obstructive symptoms (difference, 11.9%; 95% CI, 7.4%-16.5%). In contrast, patients more often described congestion in terms of pressure-related (difference, 38.8%; 95% CI, 7.5%-70.1%) or mucus-related (difference, 51.2%; 95% CI, 22.6%-79.9%) symptoms. A total of 22 otolaryngologists (71.0%) defined congestion using 1 to 4 symptoms, compared with only 69 patients (30.5%).

Conclusions and Relevance

The definition of congestion appears to be highly variable and ambiguous for many patients. Moreover, the findings suggest that patients and otolaryngologists generally do not describe congestion using the same terms.

Maximizing New Technologies to Treat Depression

In an era of rapid technological evolution, mental healthcare providers are tapping into technology that offers feasible and effective alternatives to reach patients who suffer from depression. This paper provides a brief history and description of current technologies, frequently used taxonomies, and specific applications for the assessment and treatment of depression. These include online healthcare communities and social media, automated screening, wearable technology, and virtual reality therapy. A review of a secondary analysis that incorporated technology used with patients experiencing depressive symptoms is provided and future trends in mHealth or cellular-based technologies to treat depression are explored.