The design, implementation, and impact of an automated patient-reported outcome data collection and adverse event surveillance tool: a randomized trial.

BACKGROUND: Incorporating patient-reported outcome measures into routine clinical care can improve the patient experience, increase engagement, and establish a structured method for gathering adverse event (AE) data. Systematically collecting this information on a large scale can also inform new solutions for removing treatment barriers like medication nonadherence. This study evaluated whether implementing a patient-reported outcome data collection and adverse event surveillance tool would result in greater treatment continuation for patients receiving care on a telehealth platform. METHODS: We used iterative plan-study-do-act cycles to evaluate how this data collection and surveillance tool-a short prompt for patients to provide information on treatment satisfaction and side effects-impacted treatment continuation, the outcome of interest. We tested two cycles in n = 2,000 patients receiving care for erectile dysfunction on a telehealth platform as a randomized controlled trial, and accounted for incidents where true randomization was not possible during implementation. The first cycle tested the tool alone, while the second cycle tested the tool in conjunction with a messaging template system that provided standardized side effect counseling. RESULTS: Compared to patients in the control group, patients in the intervention group were more likely to refill their prescription over the duration of the study period (75% vs. 71%, Kaplan Meier log-rank test, p = 0.04). Receiving standardized counseling as part of the AE response system was positively associated with treatment continuation (p = 0.0005). CONCLUSIONS: Prompting patients to report side effects and outcomes outside of routine clinical visits has the potential to improve quality of care in virtual treatment. TRIAL REGISTRATION: This trial has been retrospectively registered as a clinical trial (ClinicalTrials.gov Identifier: NCT05895539, registered June 8, 2023).

Characteristics and Weight Loss Practices From a Cohort of 20,000 Patients Using Direct-to-Consumer Telehealth: Observational Cross-sectional Study.

BACKGROUND: Despite the increasing prevalence of obesity, the use of pharmacotherapy treatment remains low. Telehealth platforms have the potential to facilitate access to pharmacotherapy interventions, but little is known about telehealth patients. OBJECTIVE: This study describes a large patient population taking Plenity, an oral superabsorbent hydrogel (OSH) used in the treatment of excess weight or obesity (BMI 25-40 kg/m2). The analysis compared differences in weight loss practices and in-person access to obesity care among telehealth patients with preobesity and obesity. METHODS: This was a cross-sectional assessment of a random sample of 20,000 telehealth patients who completed a structured, web-based visit and received at least one prescription of OSH. Patients were eligible to receive care via telehealth if they were adults, were not pregnant, and had a BMI ≥25 kg/m2. During the visit, patients provided baseline health information including comorbidities, diet, and exercise habits. Their zip code of residence was used to determine their proximity to an obesity medicine provider. Descriptive statistical analysis and tests of differences (chi-square and 2-tailed t tests) were used to compare patients with preobesity (BMI 25-29.9 kg/m2) and obesity (BMI 30-40 kg/m2). RESULTS: Most (15,576/20,000, 77.88%) of the cohort were female, with a mean age of 44 (SD 11) years and a mean BMI of 32.4 (SD 4.1) kg/m2. Among the cohort, 32.13% (6426/20,000) had preobesity, and 40.18% (8036/20,000) of all patients had ≥1 weight-related comorbidity. Almost all (19,732/20,000, 98.66%) patients attempted 1 weight loss method before OSH and half (10,067/20,000, 50.34%) tried ≥4 different methods. Exercise and low-calorie diets were the most attempted weight loss methods, and 28.76% (5752/20,000) of patients reported a prior prescription of weight loss medication. Patients with obesity were more likely than patients with preobesity to have previously tried commercial weight loss plans (7294/13,574, 53.74% vs 2791/6426, 43.43%; P<.001), specialized diets (8493/13,574, 62.57% vs 3799/6426, 59.12%; P<.001), over-the-counter supplements (6807/13,574, 50.15% vs 2876/6426, 44.76%; P<.001), and prescription weight loss medications (4407/13,574, 32.47% vs 1345/6426, 20.93%; P<.001). Females were more likely to seek treatment for preobesity (5332/15,576, 34.23% vs 1094/4424, 24.73% male; P<.001) and reported fewer comorbidities (5992/15,576, 38.47% vs 2044/4424, 46.2% male; P<.001), despite >90% of both sexes reporting the belief that excess weight negatively affected their health (14,247/15,576, 91.47% female participants, 4116/4424, 93.04% male participants). Moreover, 29.25% (5850/20,000) of patients lived in the same zip code and 85.15% (17,030/20,000) lived in the same county as an obesity medicine provider. CONCLUSIONS: Data from this large patient cohort supports the potential for telehealth to provide prescriptive weight management treatment to a population seeking care. Patients with preobesity are an undertreated population who actively seek new weight management options. Female participants sought weight management treatment earlier in the disease continuum than males, despite reporting fewer comorbidities.

Factors associated with the adoption of evidence-based innovations by substance use disorder treatment organizations: A study of HIV testing.

INTRODUCTION: Though prior research shows that a range of important regulatory, market, community, and organizational factors influence the adoption of evidence-based practices (EBPs) among health care organizations, we have little understanding of how these factors relate to each other. To address this gap, we test a conceptual model that emphasizes indirect, mediated effects among key factors related to HIV testing in substance use disorder treatment organizations (SUTs), a critical EBP during the US opioid epidemic. METHODS: We draw on nationally representative data from the 2014 (n = 697) and 2017 (n = 657) National Drug Abuse Treatment System Survey (NDATSS) to measure the adoption of HIV testing among the nation's SUTs and their key organizational characteristics; we also draw on data from the US Census Bureau; Centers for Disease Control; and legislative sources to measure regulatory and community environments. We estimate cross-sectional and longitudinal structural equation models (SEM) to test the proposed model. RESULTS: Our longitudinal model of the adoption of HIV testing by SUTs in the United States identifies a pathway by which community and market characteristics (rurality and the number of other SUTs in the area) are related to key sociotechnical characteristics of these organizations (alignment of clients, staff, and harm-reduction culture) that, in turn, are related to the adoption of this EBP. CONCLUSIONS: Results also show the importance of developing conceptual models that include indirect effects to account for organizational adoption of EBPs.

The Relationship Between Broadband Speeds, Device Type, Demographic Characteristics, and Care-Seeking Via Telehealth.

Background: This study sought to examine the complex relationship between individual and environmental characteristics, broadband access, device type (computer or smartphone), and telehealth utilization as it relates to the digital divide. Methods: We analyzed a combination of electronic health record and publicly available zip code-level data for 2,770 men seeking treatment on a large, nationally available, direct-to-consumer telehealth platform. Using logistic regression, we determined the likelihood of accessing the platform through a smartphone (vs. a computer) based on key features of the environment, including broadband access and income, and demographic characteristics, including age and race. Results: We found that living in areas with higher rates of broadband adoption significantly decreased the likelihood of accessing virtual care using a smartphone (odds ratio [OR] = 0.17, p < 0.001). Compared with the 18-29 age category, the odds of accessing virtual care using a smartphone decreased for men between the age categories of 40-59 (OR = 0.63, p < 0.01) and over 60 (OR = 0.29, p < 0.001) years. Belonging to historically marginalized communities of color (Black, Hispanic, and Native American) almost doubled the odds of using a smartphone to access the platform (OR = 1.8, p < 0.001). Broadband availability and median area income were not significantly associated with mobile use. Conclusions: Telehealth platform design and policy solutions intended to expand access to virtual care should be flexible enough to accommodate the sometimes competing needs of patients who are at the greatest risk of being left behind.

Novel in-home COVID-19 vaccination program for vulnerable populations using public-private collaboration.

Background: The continued emergence of new COVID-19 variants highlights the importance of vaccination in the effort to reduce disease transmission and burden. The objective of this study is to evaluate the processes and outcomes associated with a novel in-home COVID-19 vaccination program aimed at vaccinating high-risk populations in New York, USA. Methods: To evaluate program processes, we described the program itself and reflected on some key lessons learned. To evaluate program outcomes, we analyzed data reported by vaccine recipients. These outcomes included the percentage of vaccine recipients that successfully received the full course of vaccinations, and the demographic and health characteristics of vaccine recipients. We additionally assessed demographic differences in motivations for receiving in-home care, using chi-squared tests to assess statistical significance. Data were collected and reported via dynamic online intake forms. Results: The median age of vaccine recipients was 79 ± SD 9.0 years. The oldest vaccine recipient was 107 years old. Of those with non-missing data, more than half of vaccine recipients were female (63%), identified as part of a racial/ethnic minority (66%), reported an annual income of < $25,000 (58%), and received a high school degree or less (68%). Most vaccine recipients reported having one or more health conditions associated with increased risk of severe COVID-19 disease (72%). Vaccine recipients were most likely to report receiving in-home vaccination because they were home-bound due to disability. Motivations for receiving in-home vaccination differed by demographic subgroup. Conclusion: The population receiving vaccinations from this in-home care delivery program comprised seniors who were mostly female and non-white, indicated socioeconomic vulnerability, and reported one or more COVID-related health conditions; this signified that the program met its goal of vaccinating those most at risk for severe COVID-19 disease.

Correction: Evaluating the Quality of Asynchronous Versus Synchronous Virtual Care in Patients With Erectile Dysfunction: Retrospective Cohort Study.

[This corrects the article DOI: 10.2196/32126.].

Evaluating the Quality of Asynchronous Versus Synchronous Virtual Care in Patients With Erectile Dysfunction: Retrospective Cohort Study.

BACKGROUND: Asynchronous health care encounters are becoming an increasingly mainstream form of telehealth. While synchronous phone or video visits have become more widely accepted, US policymakers and other key health care stakeholders have been hesitant to fully embrace asynchronous diagnosis and treatment. This is particularly true in the context of direct-to-consumer (DTC) platforms, where encounters are patient-initiated and there is no preestablished relationship with a provider. This hesitation is compounded by limited research comparing outcomes between asynchronous and synchronous care, especially in the DTC context. OBJECTIVE: The purpose of this study was to explore whether asynchronous care leads to different patient outcomes in the form of medication-related adverse events when compared to synchronous virtual care. METHODS: Using 10,000 randomly sampled patient records from a prominent US-based DTC platform, we analyzed the rates of patient-reported side effects from commonly prescribed erectile dysfunction medications and compared these rates across modalities of treatment. RESULTS: Asynchronous care resulted in lower but nonsignificant differences in the rates of the reported drug-related side effects compared to synchronous treatment. CONCLUSIONS: In some circumstances, such as treatment for erectile dysfunction, asynchronous care can offer the same level of safety in prescribing when compared to synchronous care. More research is needed to evaluate the safety of asynchronous care across a wider set of conditions and measures.

Behavioral Health Integration and Outcomes that Matter to Patients: a Longitudinal Mixed-Methods Observational Study.

Research on behavioral health integration (BHI) often explores outcomes for quality and cost, but less is known about impacts of integration work on key patient experience outcomes. A mixed-methods longitudinal study of BHI was conducted in 12 primary care clinics in Oregon to assess how adoption of key integration practices including integrated staffing models, integrated care trainings for providers, and integrated data sharing impacted a set of patient experience outcomes selected and prioritized by an advisory panel of active patients. Results showed that adopting key aspects of integration was not associated with improved patient experience outcomes over time. Patient interviews highlighted several potential reasons why, including an overemphasis by health systems on the structural aspects of integration versus the experiential components and potential concerns among patients about stigma and discrimination in the primary care settings where integration is focused.

Drivers of High-cost Medical Complexity in a Medicaid Population.

BACKGROUND: Efforts to improve outcomes for the 10% of patients using two thirds of health care expenditures increasingly include addressing social determinants. Empiric evidence is needed to identify the highest impact nonmedical drivers of medical complexity and cost. OBJECTIVES: This study examines whether complex, highest cost patients have different patterns of critical life adversity than those with better health and lower utilization. RESEARCH DESIGN: Using a validated algorithm we constructed a complexity/cost risk patient profile. We developed and fielded a life experience survey (Supplemental Digital Content 1, http://links.lww.com/MLR/B920) to a representative sample, then examined how the prevalence of specific adversities varied between complex, high-cost individuals, and others. SUBJECTS: Surveys were sent to 9176 adult Medicaid members in Portland, Oregon. MEASURES: Our primary variable was high medical complexity health cost risk; an alternative specification combined health cost risk and actual utilization/cost. Our survey instrument measured exposure to early and later-life adversities. RESULTS: Compared with healthy individuals in our population, medically complex individuals had significantly higher rates of adversity. The greatest risk of medical complexity and cost was associated with substance use [odds ratio (OR), 4.1], homelessness (OR, 3.0), childhood maltreatment (OR, 2.8), and incarceration (OR 2.4). Those with the highest prior year acute care utilization and cost had the highest rates of these same factors: substance use (62.5%), homelessness (61.7%), childhood maltreatment (55.5%), and incarceration (52.1%). CONCLUSION: Clinical and policy strategies that mitigate high-impact social drivers of poor outcomes are likely critical for improving both health and costs for complex, high-needs patients.

Patient experiences in behavioral health integrated primary care settings: the role of stigma in shaping patient outcomes over time.

Behavioral health integration (BHI) models seek to improve patient experience and outcomes by bridging physical and behavioral health services. Past BHI research has not focused on stigma in these settings, which has been previously found to impact patient engagement and outcomes. We surveyed patients over a two year period at 12 integrated clinics in Oregon using measures developed by a Patient Advisory Team. Over a quarter of respondents reported stigmatization (26.81%). Compared to non-stigmatized patients, those who reported stigma had five times the odds of reporting unmet health needs (OR=5.14, p<0.0001), three times the odds reporting issues accessing care (OR=2.93, p<0.0001), six times the odds reporting hassle to get care (OR=6.49, p<0.0001), and three times the odds of reporting poor communication between providers (OR=3.45, p<0.0001). After examining the interaction between stigmatization and time, we found that stigmatized patients had lower odds at year two of reporting unmet health needs (OR=0.68, p=0.0034), issues accessing care (OR=0.77, p=0.0400), hassle getting care (OR=0.57, p=0.0001), and poor provider communication (OR=0.77, p=0.0544). We found that stigma remained prevalent for patients seeking care in the integrated clinics studied despite integration. Systems should consider integration efforts and reducing stigmatizing experiences in tandem to truly improve patient outcomes.

Oregon's Coordinated Care Organization Experiment: Are Members' Experiences of Care Actually Changing?

In 2012, Oregon embarked on an ambitious plan to redesign financing and care delivery for Medicaid. Oregon's Coordinated Care Organizations (CCOs) are the first statewide effort to use accountable care principles to pay for Medicaid benefits. We surveyed 8,864 Medicaid-eligible participants approximately 1 year before and 12 months after CCO implementation to assess the impact of CCOs on member-reported outcomes. We compared changes in outcomes over time between Medicaid CCO members, Medicaid fee-for-service (FFS) members, and those who were uninsured. After 1 year, Medicaid beneficiaries enrolled in CCOs reported better access to care, better quality care, and better connections to primary care than Medicaid FFS or uninsured persons. We did not find early evidence of improvements in preventive care and screenings or in ED utilization. Although these are early indicators, results suggest that Oregon's delivery system transformation is having a positive impact on patient experience outcomes.

Factors That Distinguish High-Performing Accountable Care Organizations in the Medicare Shared Savings Program.

OBJECTIVE: To identify factors that promote the effective performance of accountable care organizations (ACOs) in the Medicare Shared Savings Program. DATA SOURCES/STUDY SETTING: Data come from a convenience sample of 16 Medicare Shared Savings ACOs that were organized around large physician groups. We use claims data from the Center for Medicaid and Medicare Services and data from 60 interviews at three high-performing and three low-performing ACOs. STUDY DESIGN: Explanatory sequential design, using qualitative data to account for patterns observed in quantitative assessment of ACO performance. DATA COLLECTION METHODS: A total of 16 ACOs were first rank-ordered on measures of cost and quality of care; we then selected three high and three low performers for site visits; interview data were content-analyzed. PRINCIPAL FINDINGS: Results identify several factors that distinguish high- from low-performing ACOs: (1) collaboration with hospitals; (2) effective physician group practice prior to ACO engagement; (3) trusted, long-standing physician leaders focused on improving performance; (4) sophisticated use of information systems; (5) effective feedback to physicians; and (6) embedded care coordinators. CONCLUSIONS: Shorter interventions can improve ACO performance-use of embedded care coordinators and local, regional health information systems; timely feedback of performance data. However, longer term interventions are needed to promote physician-hospital collaboration and skills of physician leaders. CMS and other stakeholders need realistic timelines for ACO performance.

The Impacts of Medicaid Expansion on Rural Low-Income Adults: Lessons From the Oregon Health Insurance Experiment.

Medicaid expansions through the Affordable Care Act began in January 2014, but we have little information about what is happening in rural areas where provider access and patient resources might be more limited. In 2008, Oregon held a lottery for restricted access to its Medicaid program for uninsured low-income adults not otherwise eligible for public coverage. The Oregon Health Insurance Experiment used this opportunity to conduct the first randomized controlled study of a public insurance expansion. This analysis builds off of previous work by comparing rural and urban survey outcomes and adds qualitative interviews with 86 rural study participants for context. We examine health care access and use, personal finances, and self-reported health. While urban and rural populations have unique demographic profiles, rural populations appear to have benefited from Medicaid as much as urban. Qualitative interviews revealed the distinctive challenges still facing low-income uninsured and newly insured rural populations.

Understanding Treatment Gaps for Mental Health, Alcohol, and Drug Use in South Dakota: A Qualitative Study of Rural Perspectives.

PURPOSE: More than 25% of US adults experience mental health or substance use conditions annually, yet less than half receive treatment. This study explored how rural participants with behavioral health conditions pursue and receive care, and it examined how these factors differed across American Indian (AI) and geographic subpopulations. METHODS: We undertook a qualitative follow-up study from a statewide survey of unmet mental health and substance use needs in South Dakota. We conducted semistructured phone interviews with a purposive sample of key informants with varying perceptions of need for mental health and substance use treatment. RESULTS: We interviewed 33 participants with mental health (n = 18), substance use (n = 9), and co-occurring disorders (n = 6). Twenty participants (61.0%) lived in rural communities that did not overlap with AI tribal land. Twelve participants (34.3%) were AI, 8 of whom lived on a reservation (24.2%). The discrepancy between actual and perceived treatment need was related to how participants defined mental health, alcohol, and drug use "problems." Mental health disorders and excessive alcohol consumption were seen as a normal part of life in rural and reservation communities; seeking mental health care or maintaining sobriety was viewed as the result of an individual's willpower and frequently related to a substantial life event (eg, childbirth). Participants recommended treatment gaps be addressed through multicomponent community-level interventions. DISCUSSION: This study describes how rural populations view mental health, alcohol, and drug use. Enhancing access to care, addressing discordant perceptions, and improving community-based interventions may increase treatment uptake.

Funding Accountable Care in Oregon: Financial Models in Two Coordinated Care Organizations.

EXECUTIVE SUMMARY: Oregon's coordinated care organizations (CCOs) are an integral part of a massive statewide reform that brings accountable care to Medicaid. CCOs are regional collaboratives among health plans, providers, county public health, and communitybased organizations that administer a single global budget covering physical, mental, and dental healthcare for low-income Oregonians. CCOs have been given freedom within the global budget to implement reforms that might capture efficiencies in cost and quality. For this study-fielded between 2012 and 2015-we traced the path of the global budget through the interior structures of two of Oregon's most promising CCOs. Using document review and in-depth qualitative interviews, we synthesized and summarized descriptive narrative data to produce case studies of the financial models in each CCO. We found that the CCOs feature substantially different market contexts, governance models, organizational structures, and financial systems.

The role of stigma in access to health care for the poor.

CONTEXT: The Affordable Care Act provides new Medicaid coverage to an estimated 12 million low-income adults. Barriers to access or quality could hamper the program's success. One of these barriers might be the stigma associated with Medicaid or poverty. METHODS: Our mixed-methods study involved 574 low-income adults and included data from an in-person survey and follow-up interviews. Our analysis of the interviews showed that many participants who were on Medicaid or uninsured described a perception or fear of being treated poorly in the health care setting. We defined this experience as stigma and merged our qualitative interviews coded for stigma with our quantitative survey data to see whether stigma was related to other sociodemographic characteristics. We also examined whether stigma was associated with access to care, quality of care, and self-reported health. FINDINGS: We were unable to identify other sociodemographic characteristics associated with stigma in this low-income sample. The qualitative interviews suggested that stigma was most often the result of a provider-patient interaction that felt demeaning, rather than an internalized sense of shame related to receiving public insurance or charity care. An experience of stigma was associated with unmet health needs, poorer perceptions of quality of care, and worse health across several self-reported measures. CONCLUSIONS: Because a stigmatizing experience in the health system might interfere with the delivery of high-quality care to new Medicaid enrollees, further research and policy interventions that target stigma are warranted.