Digital Disparities: Lessons learned from a Patient Reported Outcomes Program During the COVID-19 Pandemic

Barriers and facilitators to pediatric telehealth use in English- and Spanish-speaking families: A qualitative study

BACKGROUND

With the rapid increase in telehealth use during the COVID-19 pandemic, concerns have been raised about the potential for exacerbating existing healthcare disparities in marginalized populations. While eliminating barriers such as transportation and time constraints, telehealth may introduce barriers related to technology access. With little known about the patient experience accessing telehealth during the COVID-19 pandemic, this study seeks to understand the barriers and facilitators to telehealth use as well as interventions that may address them.

METHODS

We conducted qualitative interviews with parents of pediatric patients of a primary care clinic in a diverse community during the study period of March-May 2021. The interviews explored barriers and facilitators to telehealth during the COVID-19 pandemic. Interviews were balanced across language (Spanish and English) as well as across visit type (in-person vs. telehealth). Recruitment, collection of demographic information, and interviews were conducted by telephone. The conversations were recorded and transcribed. Once thematic saturation was achieved, the data were analyzed using a modified grounded theory approach.

RESULTS

Of the 33 participants, 17 (52%) spoke English and 16 (48%) spoke Spanish. A total of 17 (52%) had experienced a telehealth encounter as their first visit during the study period while 16 (48%) had an in-person visit. Five themes were identified: (1) a recognition of differences in technological knowledge and access, (2) situational preferences for telehealth versus in-person visits, (3) avoidance of COVID-19 exposure, (4) convenience, and (5) change over time. English-speaking patients expressed greater ease with and a preference for telehealth, while Spanish-speaking participants expressed more technological difficulty with telehealth and a preference for in-person visits. Suggested interventions included informational tutorials such as videos before the visit, technical support, and providing families with technological devices.

CONCLUSION

In this study, we examined patient and family perspectives on pediatric telehealth during the COVID-19 pandemic. Implementation of the suggested interventions to address barriers to telehealth use is essential to prevent further exacerbation of health disparities already experienced by marginalized populations.

Paving the way for COVID survivors' psychosocial rehabilitation: Mining topics, sentiments, and their trajectories over time from Reddit

Objective: This study examined major themes and sentiments and their trajectories and interactions over time using subcategories of Reddit data. The aim was to facilitate decision-making for psychosocial rehabilitation. Materials and Methods: We utilized natural language processing techniques, including topic modeling and sentiment analysis, on a dataset consisting of more than 38,000 topics, comments, and posts collected from a subreddit dedicated to the experiences of people who tested positive for COVID-19. In this longitudinal exploratory analysis, we studied the dynamics between the most dominant topics and subjects' emotional states over an 18-month period. Results: Our findings highlight the evolution of the textual and sentimental status of major topics discussed by COVID survivors over an extended period of time during the pandemic. We particularly studied pre- and post-vaccination eras as a turning point in the timeline of the pandemic. The results show that not only does the relevance of topics change over time, but the emotions attached to them also vary. Major social events, such as the administration of vaccines or enforcement of nationwide policies, are also reflected through the discussions and inquiries of social media users. In particular, the emotional state (i.e., sentiments and polarity of their feelings) of those who have experienced COVID personally. Discussion: Cumulative societal knowledge regarding the COVID-19 pandemic impacts the patterns with which people discuss their experiences, concerns, and opinions. The subjects' emotional state with respect to different topics was also impacted by extraneous factors and events, such as vaccination. Conclusion: By mining major topics, sentiments, and trajectories demonstrated in COVID-19 survivors' interactions on Reddit, this study contributes to the emerging body of scholarship on COVID-19 survivors' mental health outcomes, providing insights into the design of mental health support and rehabilitation services for COVID-19 survivors.

Leveraging Measurement-Based Care to Reduce Mental Health Treatment Disparities for Populations of Color

Disparities in mental health treatment have consistently been documented for clients of color as compared to White clients. Most mental health care disparities literature focuses on access to care at the point of initial engagement to treatment, resulting in a dearth of viable solutions being explored to retain clients in care once they begin. Measurement-based care (MBC) is a person-centered practice that has been shown to improve the therapeutic relationship, make treatment more personalized, and empower the client to have an active role in their care. Problems with therapeutic alliance and treatment relevance are associated with early termination for communities of color in mental health services. However, MBC has not been explored as a clinical practice to address therapeutic alliance and continual engagement for people of color seeking mental health care. This Point of View describes several MBC features that may be able to impact current sources of disparity in mental health treatment quality and provides a rationale for each. Our hope is that the field of MBC and progress feedback will more explicitly consider the potential of MBC practices to promote equity and parity in mental health services of color and will start to explore these associations empirically. We also discuss whether MBC should be culturally adapted to optimize its relevance and effectiveness for communities of color and other groups experiencing marginalization. We propose that MBC has promise to promote equitable mental health service quality and outcomes for communities of color.

Patient Experiences Completing Patient Reported Outcome Measures in Behavioral Health Within a Health Safety-Net Setting

Measurement based care (MBC), a practice that uses patient reported outcome measures (PROMs), is not widely used in behavioral health settings and little is known about the patient experience with MBC in safety-net settings. This study aimed to understand patient experiences completing PROMs on paper when presenting to an outpatient, behavioral health setting within a public safety-net hospital. Semi-structured interviews were conducted with 22 participants in English and Spanish. Participants were 42 years old (SD = 12.7), mostly white (36.4%) and Black (31.8%). Thematic analysis was used to analyze findings. Overall, participants were engaged with PROMs and described them as helpful for themselves and their clinicians. Participants also expressed themes focused on PROMs user-friendliness, including formatting, time to complete measures, and participant characteristics such as attention and literacy. These findings are important to consider to ensure equitable access to MBC when implemented in behavioral health in the health safety-net setting.

Association of Social Determinants with Patient-Reported Outcomes in Patients with Cancer

Patient-reported outcome (PRO) scores have been utilized more frequently, but the relationship of PRO scores to determinants of health and social inequities has not been widely studied. Our goal was to determine the association of PRO scores with social determinants. All patients with a new cancer diagnosis who completed a PRO survey from 2020 to 2022 were included. The PRO survey recorded scores for depression, fatigue, pain interference and physical function. Higher depression, fatigue and pain scores indicated more distress. Higher physical condition scores indicated improved functionality. A total of 1090 patients were included. Married patients had significantly better individual PRO scores for each domain. Patients who were able to use the online portal to complete their survey also had better individual scores. Male patients and non-White patients had worse pain scores than female and White patients, respectively. Patients with prostate cancer had the best scores while patients with head and neck and lung cancer had the worst scores. PRO scores varied by cancer disease site and stage. Social support may act in combination with specific patient/tumor factors to influence PRO scores. These findings present opportunities to address patient support at institutional levels.

The impact of COVID-19 on PRO development, collection and implementation: views of UK and Ireland professionals

BACKGROUND

PROs are valuable tools in clinical care to capture patients' perspectives of their health, symptoms and quality of life. However the COVID-19 pandemic has had profound impacts on all aspects of life, in particular healthcare and research. This study explores the views of UK and Irish health professionals, third sector and pharmaceutical industry representatives and academic researchers on the impact of COVID-19 on PRO collection, use and development in clinical practice.

METHODS

A volunteer sample took part in a 10 question cross sectional qualitative survey, on the impact of COVID-19, administered online via Qualtrics. Demographic data was descriptively analysed, and the qualitative free text response data was subject to thematic analysis and summarised within the Strengths, Weaknesses, Opportunities and Threats (SWOT) framework.

RESULTS

Forty nine participants took part located in a range of UK settings and professions. Participants highlighted staff strengths during the pandemic including colleagues' flexibility and ability to work collaboratively and the adoption of novel communication tools. Weaknesses were a lack of staff capacity to continue or start PRO projects and insufficient digital infrastructure to continue studies online. Opportunities included the added interest in PROs as useful outcomes, the value of electronic PROs for staff and patients particularly in relation to integration into systems and the electronic patient records. However, these opportunities came with an understanding that digital exclusion may be an issue for patient groups. Threats identified included that the majority of PRO research was stopped or delayed and funding streams were cut.

CONCLUSIONS

Although most PRO research was on hold during the pandemic, the consensus from participants was that PROs as meaningful outcomes were valued more than ever. From the opportunities afforded by the pandemic the development of electronic PROs and their integration into electronic patient record systems and clinical practice could be a lasting legacy from the COVID-19 pandemic.

Systematic symptom management in the IMPACT Consortium: rationale and design for 3 effectiveness-implementation trials

Cancer and its treatment produce deleterious symptoms across the phases of care. Poorly controlled symptoms negatively affect quality of life and result in increased health-care needs and hospitalization. The Improving the Management of symPtoms during And following Cancer Treatment (IMPACT) Consortium was created to develop 3 large-scale, systematic symptom management systems, deployed through electronic health record platforms, and to test them in pragmatic, randomized, hybrid effectiveness and implementation trials. Here, we describe the IMPACT Consortium's conceptual framework, its organizational components, and plans for evaluation. The study designs and lessons learned are highlighted in the context of disruptions related to the COVID-19 pandemic.

Fixing the Leaky Pipe: How to Improve the Uptake of Patient-Reported Outcomes-Based Prognostic and Predictive Models in Cancer Clinical Practice

PURPOSE

This discussion paper outlines challenges and proposes solutions for successfully implementing prediction models that incorporate patient-reported outcomes (PROs) in cancer practice.

METHODS

We organized a full-day multidisciplinary meeting of people with expertise in cancer care delivery, PRO collection, PRO use in prediction modeling, computing, implementation, and decision science. The discussions presented here focused on identifying challenges to the development, implementation and use of prediction models incorporating PROs, and suggesting possible solutions.

RESULTS

Specific challenges and solutions were identified across three broad areas. (1) Understanding decision making and implementation: necessitating multidisciplinary collaboration in the early stages and throughout; early stakeholder engagement to define the decision problem and ensure acceptability of PROs in prediction; understanding patient/clinician interpretation of PRO predictions and uncertainty to optimize prediction impact; striving for model integration into existing electronic health records; and early regulatory alignment. (2) Recognizing the limitations to PRO collection and their impact on prediction: incorporating validated, clinically important PROs to maximize model generalizability and clinical engagement; and minimizing missing PRO data (resulting from both structural digital exclusion and time-varying factors) to avoid exacerbating existing inequalities. (3) Statistical and modeling challenges: incorporating statistical methods to address missing data; ensuring predictive modeling recognizes complex causal relationships; and considering temporal and geographic recalibration so that model predictions reflect the relevant population.

CONCLUSION

Developing and implementing PRO-based prediction models in cancer care requires extensive multidisciplinary working from the earliest stages, recognition of implementation challenges because of PRO collection and model presentation, and robust statistical methods to manage missing data, causality, and calibration. Prediction models incorporating PROs should be viewed as complex interventions, with their development and impact assessment carried out to reflect this.

A systematic review of substance use screening in outpatient behavioral health settings

OBJECTIVE

Despite the frequent comorbidity of substance use disorders (SUDs) and psychiatric disorders, it remains unclear if screening for substance use in behavioral health clinics is a common practice. The aim of this review is to examine what is known about systematic screening for substance use in outpatient behavioral health clinics.

METHODS

We conducted a PRISMA-based systematic literature search assessing substance use screening in outpatient adult and pediatric behavioral health settings in PubMed, Embase, and PsycINFO. Quantitative studies published in English before May 22, 2020 that reported the percentage of patients who completed screening were included.

RESULTS

Only eight articles met our inclusion and exclusion criteria. Reported prevalence of screening ranged from 48 to 100%, with half of the studies successfully screening more than 75% of their patient population. There were limited data on patient demographics for individuals who were and were not screened (e.g., gender, race) and screening practices (e.g., electronic versus paper/pencil administration).

CONCLUSIONS

The results of this systematic review suggest that successful screening for substance use in behavioral health settings is possible, yet it remains unclear how frequently screening occurs. Given the high rates of comorbid SUD and psychopathology, future research is necessary regarding patient and clinic-level variables that may impact the successful implementation of substance use screening. Trial registry A methodological protocol was registered with the PROSPERO systematic review protocol registry (ID: CRD42020188645).

Equity-Driven Implementation of Patient-Reported Outcome Measures in Musculoskeletal Care: Advancing Value for All

ABSTRACT

The clinical use of patient-reported outcome measures (PROMs) in musculoskeletal care is expanding, encompassing both individual patient management and population-level applications. However, without thoughtful implementation, we risk introducing or exacerbating disparities in care processes or outcomes. We outline examples of opportunities, challenges, and priorities throughout PROM implementation to equitably advance value-based care at both the patient and population level. Balancing standardization with tailored strategies can enable the large-scale implementation of PROMs while optimizing care processes and outcomes for all patients.

Key considerations to reduce or address respondent burden in patient-reported outcome (PRO) data collection

Patient-reported outcomes (PROs) are used in clinical trials to provide evidence of the benefits and risks of interventions from a patient perspective and to inform regulatory decisions and health policy. The collection of PROs in routine practice can facilitate monitoring of patient symptoms; identification of unmet needs; prioritisation and/or tailoring of treatment to the needs of individual patients and inform value-based healthcare initiatives. However, respondent burden needs to be carefully considered and addressed to avoid high rates of missing data and poor reporting of PRO results, which may lead to poor quality data for regulatory decision making and/or clinical care.

The collection of patient-reported outcomes (PROs) may capture patients’ assessments of their health status. Here authors highlight PRO-specific issues that should be considered to minimise respondent burden in clinical trials and routine care.

Real-World Adherence to Patient-Reported Outcome Monitoring as a Cancer Care Quality Metric

PURPOSE:

Routine collection of patient-reported outcomes (PROs) for patients with advanced solid malignancies is an evidence-based practice and critical component of high-quality cancer care, but real-world adherence is poorly characterized. We sought to describe real-world adherence to PRO monitoring and its potential predictors.

METHODS:

We conducted a retrospective cross-sectional study using deidentified electronic health record data from a National Cancer Institute Cancer Center, encompassing one academic and two community sites. Participants included individuals with lung cancer receiving systemic therapy from January 1 to December 31, 2019. The primary outcome was patient-level adherence, defined as the proportion of treatment visits during which a PRO questionnaire (spanning symptoms, functional status, and global quality-of-life domains) was completed within 30 days. Practice-level performance was calculated as unadjusted mean patient-level adherence. We modeled patient-level adherence using multivariable ordinary least squares regression and identified covariates associated with adherence using a significance threshold of P < .05.

RESULTS:

In 2019, there were 18,604 encounters for 1,105 patients with lung cancer (mean [standard deviation] age 65.8 [10.2] years; 621 [56.2%] female; 216 [19.6%] Black) receiving systemic therapy. The mean patient-level PRO adherence ranged from 27.2% to 70.0% across sites and was 49.4% overall. Advanced age (≥ 65 years) and Black or African American race were negatively associated with PRO adherence ( P < .01).

CONCLUSION:

Across this real-world cohort of patients undergoing treatment for lung cancer, adherence to PRO monitoring lagged that achieved in seminal clinical trials, with potential age- and race-based disparities, demonstrating an implementation gap that could be addressed with standardized reporting of an adherence-based quality metric.

Impact of the coronavirus disease 2019 pandemic on delivery of and models for supportive and palliative care for oncology patients

PURPOSE OF REVIEW

Supportive and palliative care services have been an important component of the overall COVID-19 pandemic response. However, significant changes in the provision and models of care were needed in order to optimize the care delivered to vulnerable cancer patients. This review discusses the evolution of palliative and supportive care service in response to the pandemic, and highlights remaining challenges.

RECENT FINDINGS

Direct competition for resources, as well as widespread implementation of safety measures resulted in major shifts in the mode of assessment and communication with cancer patients by supportive care teams. Telemedicine/virtual consultation and follow-up visits became an integral strategy, with high uptake and satisfaction amongst patients, families and providers. However, inequities in access to the required technologies were sometimes exposed. Hospice/palliative care unit (PCU) bed occupancy declined markedly because of restrictive visitation policies. Collection of patient-reported outcome (PRO) data was suspended in many cancer centers, with resulting under-recognition of anxiety and depression in ambulatory patients. As in many other areas, disparities in delivery of supportive and palliative care were magnified by the pandemic.

SUMMARY

Virtual care platforms have been widely adopted and will continue to be used to include a wider circle of family/friends and care providers in the provision of palliative and supportive care. To facilitate equitable delivery of supportive care within a pandemic, further research and resources are needed to train and support generalists and palliative care providers. Strategies to successfully collect PROs from all patients in a virtual manner must be developed and implemented.

Implementation strategies to promote measurement-based care in schools: evidence from mental health experts across the USA

BACKGROUND

Despite an established taxonomy of implementation strategies, minimal guidance exists for how to select and tailor strategies to specific practices and contexts. We employed a replicable method to obtain stakeholder perceptions of the most feasible and important implementation strategies to increase mental health providers' use of measurement-based care (MBC) in schools. MBC is the routine use of patient-reported progress measures throughout treatment to inform patient-centered, data-driven treatment adjustments.

METHODS

A national sample of 52 school mental health providers and researchers completed two rounds of modified Delphi surveys to rate the relevance, importance, and feasibility of 33 implementation strategies identified for school settings. Strategies were reduced and definitions refined using a multimethod approach. Final importance and feasibility ratings were plotted on "go-zone" graphs and compared across providers and researchers to identify top-rated strategies.

RESULTS

The initial 33 strategies were rated as "relevant" or "relevant with changes" to MBC in schools. Importance and feasibility ratings were high overall for both survey rounds; on a scale of 1 to 5, importance ratings (3.61-4.48) were higher than feasibility ratings (2.55-4.06) on average. Survey 1 responses resulted in a reduced, refined set of 21 strategies, and six were rated most important and feasible on Survey 2: (1) assess for readiness and identify barriers and facilitators; (2) identify and prepare champions; (3) develop a usable implementation plan; (4) offer a provider-informed menu of free, brief measures; (5) develop and provide access to training materials; and (6) make implementation easier by removing burdensome documentation tasks. Provider and researcher ratings were not significantly different, with a few exceptions: providers reported higher feasibility and importance of removing burdensome paperwork than researchers, providers reported higher feasibility of train-the trainer approaches than researchers, and researchers reported higher importance of monitoring fidelity than providers.

CONCLUSIONS

The education sector is the most common setting for child and adolescent mental health service delivery in the USA. Effective MBC implementation in schools has the potential to elevate the quality of care received by many children, adolescents, and their families. This empirically derived, targeted list of six implementation strategies offers potential efficiencies for future testing of MBC implementation in schools.

Implementing patient-reported outcomes in routine clinical care for diverse and underrepresented patients in the United States

BACKGROUND

Patient-reported outcomes (PROs) are used increasingly in routine clinical care and inform policies, reimbursements, and quality improvement. Less is known regarding PRO implementation in routine clinical care for diverse and underrepresented patient populations.

OBJECTIVE

This review aims to identify studies of PRO implementation in diverse and underrepresented patient populations, elucidate representation of clinical specialties, assess implementation outcomes, and synthesize patient needs, concerns, and preferences.

METHODS

MEDLINE, Embase, Web of Science, CINAHL, and PsycINFO were searched September 2021 for studies aiming to study PRO implementation in diverse and underrepresented patient populations within the United States. Studies were screened and data extracted by three independent reviewers. Implementation outcomes were assessed according to Proctor et al. taxonomy. A descriptive analysis of data was conducted.

RESULTS

The search yielded 8,687 records, and 28 studies met inclusion criteria. The majority were observational cohort studies (n = 21, 75%) and conducted in primary care (n = 10, 36%). Most studies included majority female (n = 19, 68%) and non-White populations (n = 15, 54%), while fewer reported socioeconomic (n = 11, 39%) or insurance status (n = 9, 32.1%). Most studies assessed implementation outcomes of feasibility (n = 27, 96%) and acceptability (n = 19, 68%); costs (n = 3, 11%), penetration (n = 1, 4%), and sustainability (n = 1, 4%) were infrequently assessed.

CONCLUSION

PRO implementation in routine clinical care for diverse and underrepresented patient populations is generally feasible and acceptable. Research is lacking in key clinical specialties. Further work is needed to understand how health disparities drive PRO implementation outcomes.

Deploying the Behavioral and Environmental Sensing and Intervention for Cancer (BESI-C) smart health system to support patients and family caregivers in managing pain: A feasibility and acceptability study. (Preprint)

Background

Distressing cancer pain remains a serious symptom management issue for patients and family caregivers, particularly within home settings. Technology can support home-based cancer symptom management but must consider the experience of patients and family caregivers, as well as the broader environmental context.

Objective

This study aimed to test the feasibility and acceptability of a smart health sensing system—Behavioral and Environmental Sensing and Intervention for Cancer (BESI-C)—that was designed to support the monitoring and management of cancer pain in the home setting.

Methods

Dyads of patients with cancer and their primary family caregivers were recruited from an outpatient palliative care clinic at an academic medical center. BESI-C was deployed in each dyad home for approximately 2 weeks. Data were collected via environmental sensors to assess the home context (eg, light and temperature); Bluetooth beacons to help localize dyad positions; and smart watches worn by both patients and caregivers, equipped with heart rate monitors, accelerometers, and a custom app to deliver ecological momentary assessments (EMAs). EMAs enabled dyads to record and characterize pain events from both their own and their partners’ perspectives. Sensor data streams were integrated to describe and explore the context of cancer pain events. Feasibility was assessed both technically and procedurally. Acceptability was assessed using postdeployment surveys and structured interviews with participants.

Results

Overall, 5 deployments (n=10 participants; 5 patient and family caregiver dyads) were completed, and 283 unique pain events were recorded. Using our “BESI-C Performance Scoring Instrument,” the overall technical feasibility score for deployments was 86.4 out of 100. Procedural feasibility challenges included the rurality of dyads, smart watch battery life and EMA reliability, and the length of time required for deployment installation. Postdeployment acceptability Likert surveys (1=strongly disagree; 5=strongly agree) found that dyads disagreed that BESI-C was a burden (1.7 out of 5) or compromised their privacy (1.9 out of 5) and agreed that the system collected helpful information to better manage cancer pain (4.6 out of 5). Participants also expressed an interest in seeing their own individual data (4.4 out of 5) and strongly agreed that it is important that data collected by BESI-C are shared with their respective partners (4.8 out of 5) and health care providers (4.8 out of 5). Qualitative feedback from participants suggested that BESI-C positively improved patient-caregiver communication regarding pain management. Importantly, we demonstrated proof of concept that seriously ill patients with cancer and their caregivers will mark pain events in real time using a smart watch.

Conclusions

It is feasible to deploy BESI-C, and dyads find the system acceptable. By leveraging human-centered design and the integration of heterogenous environmental, physiological, and behavioral data, the BESI-C system offers an innovative approach to monitor cancer pain, mitigate the escalation of pain and distress, and improve symptom management self-efficacy.

International Registered Report Identifier (IRRID)

RR2-10.2196/16178

Leveraging Electronic Health Records to Address Breast Cancer Disparities

Purpose of Review

Breast cancer is the most commonly diagnosed cancer in women, and the leading cause of cancer death. However, racial and ethnic minority groups, as well as rural and underserved populations, face disparities that limit their access to specialty care for breast cancer. To address these disparities, health care providers can leverage an electronic health record (EHR).

Recent Findings

Few studies have evaluated the potential benefits of using EHRs to address breast cancer disparities, and none of them outlines a standard approach for this effort. However, these studies outline that EHRs can be used to identify and notify patients at risk for breast cancer. These systems can also automate referrals and scheduling for screening and genetic testing, as well as recruit eligible patients for clinical trials. EHRs can also provide educational materials to reduce risks associated with modifiable risk factors, such as physical activity, obesity, and smoking. These systems can also support telemedicine visits and centralize inter-institutional communication to improve treatment adherence and the quality of care.

Summary

EHRs have tremendous potential to increase accessibility and communication for patients with breast cancer by augmenting patient engagement, improving communication between patients and providers, and strengthening communication among providers. These efforts can reduce breast cancer disparities by increasing breast cancer screening, improving treatment adherence, expanding access to specialty care, and promoting risk-reducing habits among racial and ethnic minority groups and other underserved populations.