Let's talk about it: an exploration of the comparative use of three different digital platforms to gather patient-reported outcome measures.

BACKGROUND: Patient-reported outcome (PRO) measures provide valuable evidence in clinical trials; however, poor compliance with PRO measures is a notable and long-standing problem, resulting in missing data that potentially impact the interpretation of trial results. Interactive, patient-centric platforms may increase participants' motivation to complete PRO measures over the course of a clinical trial. Thus, the aim of this study was to evaluate and optimize the usability of 3 popular consumer technologies-a traditional app-based interface, a chatbot interface, and a speech-operated interface-that may be used to improve user engagement and compliance with PRO measures. METHODS: Participants aged 18-75 years from the general United States population tested the usability of 3 ePRO platforms: a traditional app-based interface using Datacubed Health Platform (Datacubed), a web-based chatbot interface using the Orbita platform, and a speech-operated Alexa interface using an Alexa Skill called "My Daily Wellness." The usability of these platforms was tested with 2 PRO measures: the EQ-5D-5 L and the SF-12v2 Health Survey (SF-12v2), Daily recall. Using a crossover design, 3 cohorts of participants tested each ePRO platform daily for 1 week. After testing, interviews were conducted regarding the participants' experience with each platform. RESULTS: A total of 24 adults participated in the study. The mean age of participants was 45 years (range, 21-71 years), and half were female (n = 12; 50%). Overall, participants prioritized speed, ease of use, and device portability in selecting their preferred platform. The Datacubed app met these criteria and was the preferred platform among most participants (n = 20; 83%). Participants also suggested various modifications to the platforms, such as programmable notifications, adjustable speed, and additional daily reminders. CONCLUSIONS: These data demonstrate the importance of speed, ease of use, and device portability, features that are currently incorporated in the Datacubed app, in ePRO platforms used in future clinical trials. Additionally, the usability of ePRO platforms may be optimized by adding programmable notifications, adjustable speed, and increased daily reminders. The results of this study may be used to enhance the usability and patient centricity of these platforms to improve user compliance and engagement during clinical trials.

Specialty pharmacy turnaround time impediments, facilitators, and good practices.

BACKGROUND: Patients receiving specialty medications have conditions that are often complex, high cost, and high need. Prompt treatment initiation is essential for the appropriate management of many conditions treated by specialty products. Improving the turnaround time (TAT) of specialty pharmacy prescriptions helps ensure patients receive the medication they need in the necessary time frame to optimize health outcomes. Despite a clinical justification for improved TAT, there is a gap in the literature describing what factors impact these times. OBJECTIVE: To determine factors that may influence specialty pharmacy TATs and to identify good practices that specialty pharmacies use to improve TAT. METHODS: This qualitative study used 4 focus groups with specialty pharmacy subject matter experts. Each focus group represented different specialty pharmacy types, including health system, payer-associated, retail chain, and independent specialty pharmacies. Attitudes, beliefs, and experiences regarding specialty pharmacy TAT were captured. Open-ended questions and prompts eliciting impediments, facilitators, and good practices associated with specialty pharmacy TAT were asked of participants. Data were analyzed thematically. RESULTS: Fifteen individuals participated across 4 focus groups: payer-associated (n = 4), independent (n = 3), health system (n = 5), and retail chain (n = 3) specialty pharmacies. Average TATs varied across specialty pharmacy type and by prescription type (clean vs intervention). Several interconnected themes were identified, including barriers with health benefits formulary management, prior authorization delays, differences in requirements between managed care organizations, and miscommunication with physicians, among others. Five subthemes were identified during the discussion of factors influencing TAT, including patient characteristics, pharmacy characteristics, provider characteristics, clinical situations, and health benefit design and formulary considerations. Pharmacy workflow improvements through technology integration are thought to improve TAT. In addition, participants noted facilitators including specialization among pharmacists and technicians in certain diseases, particularly hepatitis C and cancer. Some good practices included using patient financial advocates, technology integration, and a structured patient onboarding process, which were found to minimize delays caused by prior authorization, communication, and formularies. CONCLUSIONS: A multitude of factors impacting specialty pharmacy prescription TAT were identified. Multidisciplinary coordination between pharmacies, physicians, and managed care organizations is essential to ensure patients receive medications in the necessary time frame to optimize health outcomes. DISCLOSURES: This study was conducted with support from Pfizer.

Health literacy among visiting college students in the U.S.: A pilot study.

Objective This study examined the health literacy of international college students from Colombia visiting the United States. Participants: Thirty (30) students from a Colombian university completed the survey in October 2017. Methods: This pilot study surveyed international college students using the eHEALS and Newest Vital Signs (NVS) health literacy tools to determine the health literacy of this group. Although these students spoke English, a translator was provided. Results: The results show 63% of participants agreed they were confident with filling out health forms alone. In terms of finding helpful health resources on the Internet, 87% of participants felt they knew how to find health information, while 80% felt they knew where to find the resources. Conclusion: There was no association between the health literacy and the confidence of completing forms alone or the perception of using the Internet to answer health questions and knowing where to find helpful resources on the Internet.

To report or not to report health care data breaches.

OBJECTIVES: The study's objectives were to explore the impact of personal/organizational knowledge, prior breach status of organizations, and framed scenarios on the choices made by privacy officers regarding the decision to report a breach. STUDY DESIGN: A survey was completed of 123 privacy officers who are members of the American Health Information Management Association (AHIMA). METHODS: The study used primary data collection through a survey. Individuals listed as privacy officers within the AHIMA were the target audience for the survey. Descriptive statistics, logistic regression, and predicted probabilities were used to analyze the data collected. RESULTS: The percentage of privacy officers who chose to report a breach to the Office for Civil Rights varied by scenario: scenario 1 (general with little information), 39%; scenario 2 (4-factor risk assessment, paper records), 73.2%; scenario 3 (4-factor risk assessment, ransomware case), 91.9%. Several factors affected the response to each scenario. In scenario 1, privacy officers with a Certified in Healthcare Privacy and Security (CHPS) credential were less likely to report; those who previously reported a prior breach were more likely to report. In scenario 2, privacy officers with a bachelor's degree or graduate education were less likely to report; those who held the CHPS or coding credential were less likely to report. CONCLUSIONS: Study findings show there are gray areas where privacy officers make their own decisions, and there is a difference in the types of decisions they are making on a day-to-day basis. Future guidance and policies need to address these gaps and can use the insight provided by the results of this study.

Population Health Initiatives Among Hospitals: Associated Hospital Characteristics.

EXECUTIVE SUMMARY: This study explored how hospitals define population health and the factors associated with hospitals' population health initiatives. Data came from the 2015 American Hospital Association (AHA) Population Health Survey, the 2015 AHA Annual Survey, and the 2015 AHA Health Information Technology Supplement. Descriptive statistics described the sample of 1,386 nonfederal acute care hospitals and variables of interest. Multivariate logistic regression explored associations between population health commitment among hospitals and hospital characteristics. While hospitals defined population health in several ways, most (83%) responded that they were committed to population health activities. Multivariate regression results indicated that hospitals with lower levels of health information technology sophistication were less likely to commit to population health activities. For-profit hospitals were also less likely to commit to population health, compared to not-for-profit hospitals. System members were more likely to commit to population health initiatives, compared to independent hospitals. The variation in the definition of population health has implications for developing strategies to improve outcomes. These results present preliminary evidence on the relationship between hospital characteristics and hospital commitment to population health efforts.

The impact of racial and ethnic disparities in inhaled corticosteroid adherence on healthcare expenditures in adults with asthma.

Purpose: The purpose of this study is to determine racial and ethnic disparities with the adherence to inhaled corticosteroids (ICSs) in adults with persistent asthma, and their association with healthcare expenditures. Methods: A retrospective, cross-sectional study using the Medical Expenditure Panel Survey (MEPS) 2013-2014 data included patients ≥18 years with persistent asthma. Median medication possession ratio (MPR) was used to dichotomize adherence levels. Multivariate regression analysis was conducted to ascertain the association between adherence and race/ethnicity. Total expenditures and association with adherence were analyzed using a generalized linear model with a log link function and gamma distribution. Unadjusted expenditures were compared after bootstrapping. Results: The average MPR of ICSs for the sample of 277 patients was 0.34. The average MPR level was 0.33 among whites, 0.37 among African-Americans and 0.35 among other minorities. The average MPR was 0.30 among Hispanics, and 0.35 among non-Hispanics. African-Americans were less likely to be adherent than whites (OR 0.95). Hispanics were less likely to be adherent (OR 0.4; CI 0.206-0.777). Higher adherence was associated with significantly higher total health expenditure than lower adherence ($19,223 vs. $12,840 respectively, p < .0001). African-Americans had slightly higher total expenditure compared to whites; however, other minorities had significantly lower health expenditures compared to whites (p = .01). Non-Hispanics spent significantly less on healthcare compared to Hispanics (p = .04). Conclusions: Valuable insight into the economic cost of the disparities as they relate to persistent asthma provides further evidence of possible ethnic inequities that warrant addressing.

Multiyear Performance Trends Analysis of Primary Care Practices Demonstrating Patient-Centered Medical Home Transformation: An Observation of Quality Improvement Indicators among Outpatient Clinics.

Despite the ever-changing requirements of modern policy, payers seek interventions for care delivery improvement through value-based care models. Prior research acknowledges the Patient-Centered Medical Home (PCMH) as a tool for performance and outcomes improvement. However, these studies lack empirical evidence of performance trends across medical homes. A retrospective observational study was conducted to describe national trends in National Committee for Quality Assurance PCMH recognition for more than 23 000 primary care practices across the United States from 2008 to 2017. More than half of recognized practices scored 100% pass rates for activities related to appointment availability, patient care planning, and data for population management. The most common underperforming PCMH activities were for practice team, referral tracking and follow-up, and quality improvement implementation. Study findings indicate that patient-centered care collaboration between clinical and nonclinical team members, primary care provider coordination with specialty care providers, and practice implementation of clinical quality improvement methodologies are particularly challenging activities.

Examining the relationship between hospital ownership and population health efforts.

PURPOSE: The purpose of this paper is to investigate the relationship between ownership type and population health initiatives adopted by hospitals using the 2015 American Hospital Association data. DESIGN/METHODOLOGY/APPROACH: Hospitals of various sizes, ownership structures and geographic locations are represented in the survey. The outcome variables of interest include measures of hospital population health activities. FINDINGS: Findings indicate that nonprofit hospitals are most likely to express commitment to population health and participate in population health activities, with for-profit hospitals being least likely. Implications for policy and practice are discussed. RESEARCH LIMITATIONS/IMPLICATIONS: This study demonstrates that discrepancies in population health approaches exist across ownership status - particularly, nonprofit hospitals appear to be the most likely to be involved in population health efforts. PRACTICAL IMPLICATIONS: As we continue to push for population health management in the hospital setting, grappling with the definition and purpose of population health management will be essential. SOCIAL IMPLICATIONS: Overall, these results suggest that nonprofit hospitals are more likely to be implementing population health efforts than for-profit or government-owned hospitals. ORIGINALITY/VALUE: Although there are several studies on population health in hospitals, this study is the first to investigate the relationship between ownership type and population health initiatives adopted by hospitals.

Data breach locations, types, and associated characteristics among US hospitals.

OBJECTIVES: The objectives of this study were to describe the locations in hospitals where data are breached, the types of breaches that occur most often at hospitals, and hospital characteristics, including health information technology (IT) sophistication and biometric security capabilities, that may be predicting factors of large data breaches that affect 500 or more patients. STUDY DESIGN: The Office of Civil Rights breach data from healthcare providers regarding breaches that affected 500 or more individuals from 2009 to 2016 were linked with hospital characteristics from the Health Information Management Systems Society and the American Hospital Association Health IT Supplement databases. METHODS: Descriptive statistics were used to characterize hospitals with and without breaches, data breach type, and location/mode of data breaches in hospitals. Multivariate logistic regression analysis explored hospital characteristics that were predicting factors of a data breach affecting at least 500 patients, including area characteristics, region, health system membership, size, type, biometric security use, health IT sophistication, and ownership. RESULTS: Of all types of healthcare providers, hospitals accounted for approximately one-third of all data breaches and hospital breaches affected the largest number of individuals. Paper and films were the most frequent location of breached data, occurring in 65 hospitals during the study period, whereas network servers were the least common location but their breaches affected the most patients overall. Adjusted multivariate results showed significant associations among data breach occurrences and some hospital characteristics, including type and size, but not others, including health IT sophistication or biometric use for security. CONCLUSIONS: Hospitals should conduct routine audits to allow them to see their vulnerabilities before a breach occurs. Additionally, information security systems should be implemented concurrently with health information technologies. Improving access control and prioritizing patient privacy will be important steps in minimizing future breaches.

E-Prescribing and Adverse Drug Events: An Observational Study of the Medicare Part D Population With Diabetes.

BACKGROUND: Although the adoption of e-prescriptions among physicians has increased substantially under the Medicare Improvements for Patients and Providers Act and Meaningful Use programs, little is known of its impact on patient outcomes. OBJECTIVE: To examine the impact of e-prescribing on emergency visits or hospitalizations for diabetes-related adverse drug events (ADEs) including hypoglycemia. DESIGN: This is a prospective, observational cohort study with patient fixed effects. SETTING: 2011-2013 fee for service Medicare. PATIENTS: In total, 3.1 million Medicare fee for service, Part D enrolled beneficiaries over age 66 with diabetes mellitus and at least 90 days of antidiabetic medications. MEASUREMENTS: E-prescribing was measured as the percentage of all prescriptions a person received transmitted to the pharmacy electronically. The outcome measure was the occurrence of an emergency department (ED) visit or hospitalization for hypoglycemia or diabetes-related ADE. RESULTS: Unadjusted results show that there were 21 ADEs per 1000 beneficiaries that had ≥75% of their medications e-prescribed. Beneficiaries with lower e-prescribing levels had significantly higher numbers of ADEs. We found a robust association between the greater use of electronic prescriptions in the outpatient setting and the lower risk of an inpatient or ED visit for an ADE event among Medicare beneficiaries with diabetes in our adjusted analysis. At the e-prescribing threshold of 75% and above, significant reductions in ADE risk can be seen. LIMITATIONS: As an observational study, the results show an association but do not prove causation. CONCLUSIONS: Use of e-prescribing is associated with lower risk of an ED visit or hospitalization for diabetes-related ADE.

Dispatch from the non-HITECH-incented Health IT world: electronic medication history adoption and utilization.

OBJECTIVE: To document national trends of electronic medication history use in the ambulatory setting and describe the characteristics and predicting factors of providers who regularly use medication history transaction capabilities through their e-prescribing systems. MATERIALS AND METHODS: The study used provider-initiated medication history data requests, electronically sent over an e-prescribing network from all 50 states and the District of Columbia. Data from 138,000 prescribers were evaluated using multivariate analyses from 2007 to 2013. RESULTS: Medication history use showed significant growth, increasing from 8 to 850 million history requests during the study period. Prescribers on the network for <5 years had a lower likelihood of requests than those on the network for 5 or more years. Although descriptive analyses showed that prescribers in rural areas were alongside e-prescribing, and requesting medication histories more often than those in large and small cities, these findings were not significant in multivariate analyses. Providers in orthopedic surgery and internal medicine had a higher likelihood of more requests than family practice prescribers, with 12% and 7% higher likelihood, respectively. DISCUSSION: Early adopters of e-prescribing have remained medication history users and have continually increased their volume of requests for medication histories. CONCLUSION: Despite the fact that the use of medication histories through e-prescribing networks in the ambulatory care setting has not been encouraged through federal incentive programs, there has been substantial growth in the use of medication histories offered through e-prescribing networks.

Meaningful use stage 2 e-prescribing threshold and adverse drug events in the Medicare Part D population with diabetes.

Evidence supports the potential for e-prescribing to reduce the incidence of adverse drug events (ADEs) in hospital-based studies, but studies in the ambulatory setting have not used occurrence of ADE as their outcome. Using the "prescription origin code" in 2011 Medicare Part D prescription drug events files, the authors investigate whether physicians who meet the meaningful use stage 2 threshold for e-prescribing (≥50% of prescriptions e-prescribed) have lower rates of ADEs among their diabetic patients. Risk of any patient with diabetes in the provider's panel having an ADE from anti-diabetic medications was modeled adjusted for prescriber and patient panel characteristics. Physician e-prescribing to Medicare beneficiaries was associated with reduced risk of ADEs among their diabetes patients (Odds Ratio: 0.95; 95% CI, 0.94-0.96), as were several prescriber and panel characteristics. However, these physicians treated fewer patients from disadvantaged populations.

Characteristics of prescription and nonprescription sleep medication users in the United States.

Sleep deprivation and disturbances can result in lowered productivity and increased errors/accidents. Little is known about population characteristics associated with the use of sleep medications. The objective of this study was to investigate the association of sociodemographic factors with the use of sleep medications in the US population. This was a retrospective, cross-sectional study using data from the 2010 Medical Expenditure Panel Survey, which contains nationally representative data from the US population. The study population included all respondents older than 18 years of age. A multiple logistic regression model was built to analyze the odds of reporting use of prescription or nonprescription sleep medication. In 2010, an estimated 19 million survey respondents (10%) used some type of medication to fall asleep. The odds of reporting use of sleep medication were significantly lower among males (odds ratio [OR]=0.695, 95% confidence interval [CI]=0.599-0.808), and the uninsured (OR=0.613, 95% CI=0.439-0.855). The odds of sleep medication use were significantly higher among age groups 24-44 years and 44-64 years as compared with 18-24 years (OR=1.868, 95% CI=1.254-2.781 and OR=1.936, 95% CI=1.309-2.865, respectively), whites (OR=2.003, 95% CI=1.597-2.512) compared with African Americans, or non-Hispanics (OR=1.609, 95% CI=1.316-1.967), the unemployed (OR=1.773, 95% CI=1.496-2.101), and respondents with depression (OR=2.077, 95% CI=1.463-2.951) or anxiety (OR=6.855, 95% CI=4.998-9.403). Differences in sleep medication use were seen among specific subpopulations. Further research into why such differences exist is necessary. The factors identified in this study should be investigated further to identify vulnerable populations to determine the underlying causes of sleep disorders.

Progress and challenges: implementation and use of health information technology among critical-access hospitals.

Despite major national investments to support the adoption of health information technology (IT), concerns persist that barriers are inhibiting that adoption and the use of advanced health IT capabilities in rural areas in particular. Using a survey of Medicare-certified critical-access hospitals, we examined electronic health record (EHR) adoption, key EHR functionalities, telehealth, and teleradiology, as well as challenges to EHR adoption. In 2013, 89 percent of critical-access hospitals had implemented a full or partial EHR. Adoption of key EHR capabilities varied. Critical-access hospitals that had certain types of technical assistance and resources available to support health IT were more likely to have adopted health IT capabilities and less likely to report significant challenges to EHR implementation and use, compared to other hospitals in the survey. It is important to ensure that the necessary resources and support are available to critical-access hospitals, especially those that operate independently, to assist them in adopting health IT and becoming able to electronically link to the broader health care system.