Using a digital tool to detect early changes in everyday functioning in older adults: A pilot study of the Assessment of Smartphone Everyday Tasks (ASSET).

INTRODUCTION: To investigate the utility of a new digital tool for measuring everyday functioning in preclinical Alzheimer's disease, we piloted the Assessment of Smartphone Everyday Tasks (ASSET) application. METHODS: Forty-six participants (50.3 ± 27.1 years; 67% female; 20 young unimpaired, 17 old unimpaired, 9 mildly cognitively impaired) completed ASSET 7 times. ASSET comprises two main tasks, simulating a Patient Portal and a Calendar. We assessed ASSET's internal consistency, test-retest reliability, and user experience. RESULTS: ASSET main tasks correlated with each other (r = 0.75, 95% confidence interval [CI] = [0.58, 0.86]). Performance on ASSET's Patient Portal related to cognition (r = 0.64, 95% CI = [0.42, 0.79]) and observer ratings of everyday functioning (r = 0.57, 95% CI = [0.24, 0.79]). Test-retest reliability was good (intraclass correlation coefficient = 0.87, 95% CI = [0.77, 0.93]). Most participants rated their experience with ASSET neutrally or positively. DISCUSSION: ASSET is a promising smartphone-based digital assessment of everyday functioning. Future studies may investigate its utility for early diagnosis and evaluation of treatment of Alzheimer's disease.

Trends in 2-1-1 Calls During Public Health Emergencies, Overall and By Gender: Hurricane Irma and COVID-19 in Broward County, Florida.

Trends in 2-1-1 calls reflect evolving community needs during public health emergencies (PHEs). The study examined how changes in 2-1-1 call volume after 2 PHEs (Hurricane Irma and the coronavirus disease 2019 [COVID-19] pandemic declaration) in Broward County, Florida, varied by PHE type and whether variations differed by gender and over time. Examining 2-1-1 calls during June to December 2016, June to December 2017, and March 2019 to April 2021, this study measured changes in call volume post-PHEs using interrupted time series analysis. Hurricane Irma and the COVID-19 pandemic were associated with increases in call volume (+81 calls/d and +84 calls/d, respectively). Stratified by gender, these PHEs were associated with larger absolute increases for women (+66 and +57 calls/d vs +15 and +27 calls/d for men) but larger percent increases above their baseline for men (+143% and +174% vs +119% and +138% for women). Calls by women remained elevated longer after Hurricane Irma (5 wk vs 1 wk), but the opposite pattern was observed after the pandemic declaration (8 vs 21 wk). PHEs reduce gender differences in help-seeking around health-related social needs. Findings demonstrate the utility of 2-1-1 call data for monitoring and responding to evolving community needs in the PHE context.

Changes in Poison Center Calls for Intentional Exposure During Public Health Emergencies: COVID-19 and Winter Storm Uri in Dallas County, Texas.

OBJECTIVE: This study aimed to: (1) explore changes in the volume of calls to poison control centers (PCs) for intentional exposures (IEs) in Dallas County, Texas, overall and by gender and age, and (2) examine the association between 2 different public health emergencies (PHEs) and changes in IE call volume. METHODS: PCs categorize calls they receive by intentionality of the exposure, based on information from the caller. We analyzed data on PC calls categorized as intentional in Dallas County, Texas, from March 2019 - April 2021. This period includes the COVID-19 pandemic declaration (March 2020), a surge in COVID-19 cases (July 2020), and Winter Storm Uri (February 2021). Changes in IE call volume (overall and by age and gender), were explored, and interrupted time series analysis was used to examine call volume changes after PHE onset. RESULTS: The summer surge in COVID-19 cases was associated with 1.9 additional IE calls/day (95% CI 0.7 to 3.1), in the context of a baseline unadjusted mean of 6.2 calls per day (unadjusted) before November 3, 2020. Neither the pandemic declaration nor Winter Storm Uri was significantly associated with changes in call volume. Women, on average, made 1.2 more calls per day compared to men during the study period. IE calls for youth increased after the pandemic declaration, closing the longstanding gap between adults and youth by early 2021. CONCLUSIONS: Changes in IE call volume in Dallas County varied by gender and age. Calls increased during the local COVID-19 surge. Population-level behavioral health may be associated with local crisis severity.

Use Of And Willingness To Use Video Telehealth Through The COVID-19 Pandemic.

We examined use of and willingness to use video telehealth during the COVID-19 pandemic in a longitudinally followed cohort. Between February 2019 and March 2021, use and willingness to use increased among nearly all subgroups, with large increases among Black adults and adults with lower educational attainment. In March 2021 Black adults, adults ages 20-39, and high-income adults reported the greatest willingness to use video telehealth.

Barriers to Price and Quality Transparency in Health Care Markets.

Consumers of health care in the United States often lack information on the actual prices of the care they receive and can also lack access to information about the quality of their care. RAND researchers gathered information on how health care prices are set, price variation in health care markets, barriers to price and quality transparency for consumers, and the extent to which price and quality information is used in marketing efforts. Public payers typically set prices for physicians and hospitals prospectively, and commercial health plans negotiate with physicians and hospitals to determine prices. Some research has shown substantial variation in negotiated prices, while other research suggests more moderate variation in some markets. Although the government does not directly affect prices paid by commercial health plans, commercial prices tend to be positively correlated with Medicare fee-for-service prices. Medicaid receives mandated rebates from drug manufacturers for dispensed prescriptions. Commercial health plans negotiate both the prices paid to pharmacies and any discounts and rebates received directly from drug manufacturers. Self-pay prices faced by consumers in pharmacies are set by individual pharmacies. The barriers to consumer price and quality transparency identified through this work generally represented limitations of existing tools. Consumer price transparency is being pursued by federal and state governments. Most commercial insurers have created price transparency tools to help members estimate the costs of various services. However, these tools can be difficult to navigate and do not always provide accurate pricing.

Standardized assessment of medication reconciliation in post-acute care.

BACKGROUND: Medication reconciliation (MR) facilitates safety during transitions of care, which occur frequently across post-acute care (PAC) settings. Under the intent of the IMPACT Act of 2014, the Centers for Medicare & Medicaid Services contracted with the RAND Corporation to develop and test standardized assessment data elements (SADEs) that assess the MR process. METHODS: We employed an iterative process that incorporated stakeholder input and three rounds of testing to identify, refine, and evaluate MR SADEs. Testing took place in 186 PAC sites (57 home health agencies, 28 inpatient rehabilitation facilities, 28 long-term care hospitals, and 73 skilled nursing facilities). There were 2951 patients in the final test. Novel MR SADEs, based on the Joint Commission's framework, were refined. The final SADEs assessed whether: patient was taking high-risk medications; an indication was noted for each medication class; discrepancies were identified; patient or family/caregiver was involved in addressing discrepancies; discrepancies were communicated to physician (or designee) within 24 h; recommended physician actions regarding discrepancies were implemented within 24 h after physician response; and the reconciled list was communicated to patient, prescriber, and/or pharmacy. Two assessors per facility collected data for each patient. Analyses described completion time, data missingness, and interrater reliability, as well as feedback on assessor burden. RESULTS: Time to complete the MR SADEs was 3.2 min. Missing data were <5%. Interrater reliability was moderate to high (κ: 0.42 [whether a reconciled list was communicated to prescribers] to 0.89 [identifying patients taking hypoglycemics]). For identifying high-risk medication classes, interrater reliability was high (κ: 0.72-0.89). There were minimal differences by setting. CONCLUSIONS: This is the first set of MR SADEs that have been assessed across the PAC settings. Results demonstrate feasibility, based on missing data and completion time, and moderate to strong reliability, based on interrater comparisons, of assessing MR.

Assessment of Patient Preferences for Telehealth in Post-COVID-19 Pandemic Health Care.

Importance: Telehealth use greatly increased in 2020 during the first year of the COVID-19 pandemic. Patient preferences for telehealth or in-person care are an important factor in defining the role of telehealth in the postpandemic world. Objective: To ascertain patient preferences for video visits after the ongoing COVID-19 public health emergency and to identify patient perceptions of the value of video visits and the role of out-of-pocket cost in changing patient preference for each visit modality. Design, Setting, and Participants: This survey study was conducted using a nationally representative sample of adult members of the RAND American Life Panel. The data were obtained from the American Life Panel Omnibus Survey, which was fielded between March 8 and 19, 2021. Main Outcomes and Measures: Preferences for video visits vs in-person care were analyzed in the survey. The first question was about participants' baseline preference for an in-person or a video visit for a nonemergency health issue. The second question entailed choosing between the preferred visit modality with a cost of $30 and another modality with a cost of $10. Questions also involved demographic characteristics, experience with video visits, willingness to use video visits, and preferences for the amount of telehealth use after the COVID-19 pandemic. Results: A total of 2080 of 3391 sampled panel members completed the survey (participation rate, 61.3%). Participants in the weighted sample had a mean (SE) age of 51.1 (0.67) years and were primarily women (1079 [51.9%]). Most participants (66.5%) preferred at least some video visits in the future, but when faced with a choice between an in-person or a video visit for a health care encounter that could be conducted either way, more than half of respondents (53.0%) preferred an in-person visit. Among those who initially preferred an in-person visit when out-of-pocket costs were not a factor, 49.8% still preferred in-person care and 23.5% switched to a video visit when confronted with higher relative costs for in-person care. In contrast, among those who initially preferred a video visit, only 18.9% still preferred a video visit and 61.7% switched to in-person visit when confronted with higher relative costs for video visits. Conclusions and Relevance: This survey study found that participants were generally willing to use video visits but preferred in-person care, and those who preferred video visits were more sensitive to paying out-of-pocket cost. These results suggest that understanding patient preferences will help identify telehealth's role in future health care delivery.

Barriers to using clinical decision support in ambulatory care: Do clinics in health systems fare better?

OBJECTIVE: We quantify the use of clinical decision support (CDS) and the specific barriers reported by ambulatory clinics and examine whether CDS utilization and barriers differed based on clinics' affiliation with health systems, providing a benchmark for future empirical research and policies related to this topic. MATERIALS AND METHODS: Despite much discussion at the theoretic level, the existing literature provides little empirical understanding of barriers to using CDS in ambulatory care. We analyze data from 821 clinics in 117 medical groups, based on in Minnesota Community Measurement's annual Health Information Technology Survey (2014-2016). We examine clinics' use of 7 CDS tools, along with 7 barriers in 3 areas (resource, user acceptance, and technology). Employing linear probability models, we examine factors associated with CDS barriers. RESULTS: Clinics in health systems used more CDS tools than did clinics not in systems (24 percentage points higher in automated reminders), but they also reported more barriers related to resources and user acceptance (26 percentage points higher in barriers to implementation and 33 points higher in disruptive alarms). Barriers related to workflow redesign increased in clinics affiliated with health systems (33 points higher). Rural clinics were more likely to report barriers to training. CONCLUSIONS: CDS barriers related to resources and user acceptance remained substantial. Health systems, while being effective in promoting CDS tools, may need to provide further assistance to their affiliated ambulatory clinics to overcome barriers, especially the requirement to redesign workflow. Rural clinics may need more resources for training.

Reflections on the 7th international Jerusalem conference on health policy in the wake of the Covid-19 outbreak.

In 2019, a conference in Israel showcased new frontiers in technology in healthcare, highlighting research conducted in Israel as well as across the globe. At the time, no one realized how critical-and ubiquitous-some of these technologies would become. In the wake of a global pandemic, the ability to provide healthcare remotely has become ever more important. We explore some Israeli innovations and consider how healthcare may be permanently changed.

Optimizing health IT to improve health system performance: A work in progress.

BACKGROUND: Despite significant investments in health information technology (IT), the technology has not yielded the intended performance effects or transformational change. We describe activities that health systems are pursuing to better leverage health IT to improve performance. METHODS: We conducted semi-structured telephone interviews with C-suite executives from 24 U.S. health systems in four states during 2017-2019 and analyzed the data using a qualitative thematic approach. RESULTS: Health systems reported two broad categories of activities: laying the foundation to improve performance with IT and using IT to improve performance. Within these categories, health systems were engaged in similar activities but varied greatly in their progress. The most substantial effort was devoted to the first category, which enabled rather than directly improved performance, and included consolidating to a single electronic health record (EHR) platform and common data across the health system, standardizing data elements, and standardizing care processes before using the EHR to implement them. Only after accomplishing such foundational activities were health systems able to focus on using the technology to improve performance through activities such as using data and analytics to monitor and provide feedback, improving uptake of evidence-based medicine, addressing variation and overuse, improving system-wide prevention and population health management, and making care more convenient. CONCLUSIONS AND IMPLICATIONS: Leveraging IT to improve performance requires significant and sustained effort by health systems, in addition to significant investments in hardware and software. To accelerate change, better mechanisms for creating and disseminating best practices and providing advanced technical assistance are needed.

Prevalence and Characteristics of Telehealth Utilization in the United States.

Importance: Telehealth services, which allow patients to communicate with a remotely located clinician, are increasingly available; however, prevalence of telehealth use, including videoconferencing visits, remains unclear. Objective: To measure the use of and willingness to use telehealth modalities across the US population. Design, Setting, and Participants: This survey study, conducted between February 2019 and April 2019, asked participants about their use of different telehealth modalities, reasons for not using videoconferencing visits, and willingness to use videoconferencing visits. Questions were continuously posed to panel members and closed after 2555 responses were obtained, at which point 3932 panel members had been invited, for a 65.0% response rate. Exposures: Demographic characteristics (ie, age, sex, race, rural/urban residency, education level, and income). Main Outcomes and Measures: Self-reported use of specific telehealth modalities, reasons for nonuse, and willingness to use videoconferencing in the future. Results: A total of 2555 individuals completed the survey with a mean (SD) age of 57.2 (14.2) years; 1453 respondents (weighted percentage, 51.9%) were women, and 2043 (weighted percentage, 73.4%) were White individuals. Overall, 1343 respondents (weighted percentage, 50.8%) reported use of a nontelephone telehealth modality, ranging from 873 respondents (weighted percentage, 31.9%) for patient portals and 89 respondents (weighted percentage, 4.2%) for videoconferencing visits. Although 1309 respondents (weighted percentage, 49.2%) overall answered that they were willing or very willing to use videoconferencing visits, respondents who were Black individuals (OR, 0.58; 95% CI, 0.38-0.91), aged older than 65 years (OR, 0.51; 95% CI, 0.40-0.66), or had less education (high school or less vs advanced degrees: OR, 0.37; 95% CI, 0.25-0.56) were less likely to express willingness. Conclusions and Relevance: Despite the focused policy attention on videoconferencing visits, the results of this survey study suggest that other forms of telehealth were more dominant prior to 2020. Targeted efforts may be necessary for videoconferencing visits to reach patient groups who are older or have less education, and payer policies supporting other forms of telemedicine may be appropriate to enhance access.

Trends in the use of computerized physician order entry by health-system affiliated ambulatory clinics in the United States, 2014-2016.

BACKGROUND: Computerized provider order entry (CPOE) can help providers deliver better quality care. We aimed to understand recent trends in use of CPOE by health system-affiliated ambulatory clinics. METHODS: We analyzed longitudinal data (2014-2016) for 19,109 ambulatory clinics that participated in all 3 years of the Healthcare Information and Management Systems Society Analytics survey to assess use of CPOE and identify characteristics of clinics associated with CPOE use. We calculated descriptive statistics to examine overall trends in use, location of order entry (bedside vs. clinical station), and system-level use CPOE across all clinics. We used linear probability models to explore the association between clinic characteristics (practice size, practice type, and health system type) and two outcomes of interest: CPOE use at any point between 2014 and 2016, and CPOE use beginning in 2015 or 2016. RESULTS: Between 2014 and 2016, use of CPOE increased more than 9 percentage points from 58 to 67%. Larger clinics and those affiliated with multi-hospital health systems were more likely to have reported use of CPOE. We found no difference in CPOE use by primary care versus specialty care clinics. When used, most clinics reported using CPOE for most or all of their orders. Health systems that used CPOE usually did so for all system-affiliated clinics. CONCLUSIONS: Small practice size or not being part of a multi-hospital system are associated with lower use of CPOE between 2014 and 2016. Less than optimal use in these environments may be harming patient outcomes.

Assessing and Expanding the Evidence Base for Project ECHO and ECHO-Like Models: Findings of a Technical Expert Panel.

BACKGROUND: In 2003, Project ECHO (Extension for Community Healthcare Outcomes) began using technology-enabled collaborative models of care to help general practitioners in rural settings manage hepatitis C. Today, ECHO and ECHO-like models (EELM) have been applied to a variety of settings and health conditions, but the evidence base underlying EELM is thin, despite widespread enthusiasm for the model. METHODS: In April 2018, a technical expert panel (TEP) meeting was convened to assess the current evidence base for EELM and identify ways to strengthen it. RESULTS: TEP members identified four strategies for future implementors and evaluators of EELM to address key challenges to conducting rigorous evaluations: (1) develop a clear understanding of EELM and what they are intended to accomplish; (2) emphasize rigorous reporting of EELM program characteristics; (3) use a wider variety of study designs to fill key knowledge gaps about EELM; (4) address structural barriers through capacity building and stakeholder engagement. CONCLUSIONS: Building a strong evidence base will help leverage the innovative aspects of EELM by better understanding how, why, and in what contexts EELM improve care access, quality, and delivery, while also improving provider satisfaction and capacity.

Health information technology for ambulatory care in health systems.

OBJECTIVES: The adoption and use of health information technology (IT) by health systems in ambulatory care can be an important driver of care quality. We examine recent trends in health IT adoption by health system-affiliated ambulatory clinics in the context of the federal government's Meaningful Use and Promoting Interoperability programs. STUDY DESIGN: We analyzed a national sample of 17,861 ambulatory clinics affiliated with 1711 health systems, using longitudinal data (2014-2016) from the HIMSS Analytics annual surveys. METHODS: We used descriptive analyses and linear probability models to examine the adoption of electronic health records (EHRs), as well as 16 specific functionalities, at the clinic level and the system level. We compared the differential trends of adoption by various characteristics of health systems. RESULTS: We find that the adoption of an EHR certified by the Office of the National Coordinator for Health IT (ONC) increased from 73% to 91%. However, in 2016, only 38% of clinics reported having all 16 health IT functionalities included in this study. Small health systems lag behind large systems in ambulatory health IT adoption. Patient-facing functionalities were less likely to be adopted than those oriented toward physicians. Health information exchange capabilities are still low among ambulatory clinics, pointing to the importance of the ONC's recent Promoting Interoperability initiative. CONCLUSIONS: The relatively low uptake of health IT functionalities important to care improvement suggests substantial opportunities for further improving adoption of ambulatory health IT even among the current EHR users.

Impact of Project ECHO Models of Medical Tele-Education: a Systematic Review.

BACKGROUND: Extension for Community Healthcare Outcomes (ECHO) and related models of medical tele-education are rapidly expanding; however, their effectiveness remains unclear. This systematic review examines the effectiveness of ECHO and ECHO-like medical tele-education models of healthcare delivery in terms of improved provider- and patient-related outcomes. METHODS: We searched English-language studies in PubMed, Embase, and PsycINFO databases from 1 January 2007 to 1 December 2018 as well as bibliography review. Two reviewers independently screened citations for peer-reviewed publications reporting provider- and/or patient-related outcomes of technology-enabled collaborative learning models that satisfied six criteria of the ECHO framework. Reviewers then independently abstracted data, assessed study quality, and rated strength of evidence (SOE) based on Cochrane GRADE criteria. RESULTS: Data from 52 peer-reviewed articles were included. Forty-three reported provider-related outcomes; 15 reported patient-related outcomes. Studies on provider-related outcomes suggested favorable results across three domains: satisfaction, increased knowledge, and increased clinical confidence. However, SOE was low, relying primarily on self-reports and surveys with low response rates. One randomized trial has been conducted. For patient-related outcomes, 11 of 15 studies incorporated a comparison group; none involved randomization. Four studies reported care outcomes, while 11 reported changes in care processes. Evidence suggested effectiveness at improving outcomes for patients with hepatitis C, chronic pain, dementia, and type 2 diabetes. Evidence is generally low-quality, retrospective, non-experimental, and subject to social desirability bias and low survey response rates. DISCUSSION: The number of studies examining ECHO and ECHO-like models of medical tele-education has been modest compared with the scope and scale of implementation throughout the USA and internationally. Given the potential of ECHO to broaden access to healthcare in rural, remote, and underserved communities, more studies are needed to evaluate effectiveness. This need for evidence follows similar patterns to other service delivery models in the literature.

Defining and Evaluating Patient-Empowered Approaches to Improving Record Matching.

Despite widespread adoption of electronic health records and increasing exchange of health care data, the benefits of interoperability and health information technology have been hampered by the inability to reliably match patients and their records. The Pew Charitable Trusts contracted with the RAND Corporation to investigate "patient-empowered" approaches to record matching-solutions that have some additional, voluntary role for patients beyond simply supplying demographics to their health care providers-and to select a promising solution for further development and pilot testing. After extensive consultation with a variety of experts, researchers did not identify a "silver bullet" or achieve consensus on a single solution. Instead, this study recommends adopting a three-stage approach that aims to improve the quality of identity information, establish new smartphone app functionality to facilitate bidirectional exchange of identity information and health care data between patients and providers, and create advanced functionality to further improve value. The study also suggests that because the solution contains multiple components involving diverse stakeholders, a governance mechanism likely will be needed to provide leadership, track pilot tests, and evaluation, as well as to convene key stakeholders to build consensus where consensus is needed.

Common Laboratory Results Frequently Misunderstood by a Sample of Mechanical Turk Users.

OBJECTIVES: More patients are receiving their test results via patient portals. Given test results are written using medical jargon, there has been concern that patients may misinterpret these results. Using sample colonoscopy and Pap smear results, our objective was to assess how frequently people can identify the correct diagnosis and when a patient should follow up with a provider. METHODS: We used Mechanical Turk-a crowdsourcing tool run by Amazon that enables easy and fast gathering of users to perform tasks like answering questions or identifying objects-to survey individuals who were shown six sample test results (three colonoscopy, three Pap smear) ranging in complexity. For each case, respondents answered multiple choice questions on the correct diagnosis and recommended return time. RESULTS: Among the three colonoscopy cases (n = 642) and three Pap smear cases (n = 642), 63% (95% confidence interval [CI]: 60-67%) and 53% (95% CI: 49-57%) of the respondents chose the correct diagnosis, respectively. For the most complex colonoscopy and Pap smear cases, only 29% (95% CI: 23-35%) and 9% (95% CI: 5-13%) chose the correct diagnosis. CONCLUSION: People frequently misinterpret colonoscopy and Pap smear test results. Greater emphasis needs to be placed on assisting patients in interpretation.

Level of agreement on health information technology adoption and use in survey data: a mixed-methods analysis of ambulatory clinics in 1 US state.

OBJECTIVE: Adoption of health information technology (HIT) is often assessed in surveys of organizations. The validity of data from such surveys for ambulatory clinics has not been evaluated. We compared level of agreement between 1 ambulatory statewide survey and 2 other data sources: a second survey and interviews with survey respondents. MATERIALS AND METHODS: We used 2016 data from 2 surveys of ambulatory providers in Minnesota-the Healthcare Information and Management Systems Society (HIMSS) survey and the Minnesota HIT Ambulatory Clinic Survey-and primary data collected through qualitative interviews with survey respondents. We conducted a concurrent triangulation mixed-methods assessment of the Minnesota HIT survey by assessing level of agreement between it and HIMSS, and a thematic analysis of interview data to assess the respondent's understanding of what was being asked and their approach to responding. RESULTS: We find high agreement between the 2 surveys on questions related to common HIT functionalities-such as computerized provider order entry, medication-based decision support, and e-prescribing-which were widely adopted by respondents' organizations. Qualitative data suggest respondents found wording of items about these functionalities clear but encountered multiple challenges including interpreting items for less commonly adopted functionalities, estimating degree of HIT usage, and indicating relevant barriers. Respondents identified multiple errors in responses and likely reported greater within-group homogeneity than actually existed. CONCLUSIONS: Survey items related to the presence or absence of widely adopted HIT functionalities may be more valid than items about less common functionalities, degree of usage, and barriers.