Use of Both Qualitative and Quantitative Methods to Estimate Meaningful Change Thresholds for Key Endpoints in Pediatric Asthma Trials.

INTRODUCTION: Diary-derived symptom score and rescue medication use endpoints, such as symptom-free days (SFDs) and rescue medication-free days (RFD), are frequently used as clinical trial endpoints. Estimates of meaningful change for SFDs and RFDs have not been generated in pediatric populations. This research aimed to generate evidence supporting estimates of the individual within-patient changes that constitute an important or meaningful change in SFDs, RFDs, and updated estimates on the Childhood Asthma Control Test (C-ACT) in pediatric asthma populations aged 5-11 years. METHODS: Semistructured, qualitative interviews were conducted with children (ages 8-11 years) who had asthma and parents/caregivers of children (4-11 years) with asthma. Before the interview (4-9 days) participants were asked to complete a morning and evening diary. RESULTS: On average, parent/caregiver estimates of the difference in SFDs between a "very bad" and a "little bad" week for their children's asthma were largely concordant with the values reported by their children (differences of 1.8 and 1.4 SFDs, respectively). Both parents/caregivers and children were able to articulate what a meaningful level of change would be on the C-ACT at the item level. This qualitative study generated C-ACT item-level meaningful change estimates in the region of 1-3 category change, which potentially suggests that, if scaled up to represent C-ACT total score, this would lead to change estimates of 7-15 points. CONCLUSIONS: Our findings suggest that both children with asthma and parents/caregivers can quantitatively estimate and to some extent qualitatively articulate meaningful change in SFDs and RFDs.

Disparities in the Receipt of Tobacco Treatment Counseling within the US Context of the Affordable Care Act and Meaningful Use Implementation.

Introduction: Disparities in receiving advice to quit smoking and other tobacco use from health professionals may contribute to the continuing gap in smoking prevalence among priority populations. Under the Affordable Care Act (ACA), beginning in 2010, tobacco cessation services are currently covered in private and public health insurance plans. Providers and hospitals are also incentivized through the Meaningful Use of Electronic Health Records (EHRs) to screen and document patients' tobacco use and deliver brief cessation counseling. This study analyzes trends and correlates of receiving health professionals' advice to quit and potential disparities among US adult smokers from 2010 to 2015. Methods: Data were from the National Health Interview Survey in 2010 and 2015. We analyzed the weighted prevalence of smokers' receipt of advice to quit smoking and other tobacco use from a health professional in 2010 and 2015 and correlates of receiving advice to quit. Results: Prevalence of receiving advice to quit from a health professional increased from 51.4% in 2010 to 60.6% in 2015. This positive trend was observed across tobacco disparity population groups. Survey year (2015), age (older), ethnicity (non-Hispanic), region (Northeast), poverty level (above 100% poverty level), past quit attempt, daily smoking, cigarettes per day (11+ per day), and psychological distress were associated with higher odds of receiving advice to quit. Conclusion: Based on national level data, receipt of advice to quit from health professionals increased between 2010 and 2015. However, disparities in receiving advice to quit from health professionals persist in certain populations. Implications: This study provides important data on the national trends in receipt of health professional advice to quit smoking and other tobacco use in the context of the ACA and Meaningful Use implementation and whether these policies helped to narrow the gaps in receipt of health professional advice among vulnerable populations.

The Association of Electronic Health Record Adoption with Staffing Mix in Community Health Centers.

OBJECTIVE: To assess how medical staffing mix changed over time in association with the adoption of electronic health records (EHRs) in community health centers (CHCs). STUDY SETTING: Community health centers within the 50 states and Washington, DC. STUDY DESIGN: Estimated how the change in the share of total medical staff full-time equivalents (FTE) by provider category between 2007 and 2013 was associated with EHR adoption using fractional multinomial logit. DATA COLLECTION: 2007-2013 Uniform Data System, an administrative data set of Section 330 federal grant recipients; and Readiness for Meaningful Use and HIT and Patient Centered Medical Home Recognition Survey responses collected from Section 330 recipients between December 2010 and February 2011. PRINCIPAL FINDINGS: Having an EHR system did significantly shift the share of workers over time between physicians and each of the other categories of health care workers. While an EHR system significantly shifted the share of physician and other medical staff, this effect did not significantly vary over time. CHCs with EHRs by the end of the study period had a relatively greater proportion of other medical staff compared to the proportion of physicians. CONCLUSIONS: Electronic health records appeared to influence staffing allocation in CHCs such that other medical staff may be used to support adoption of EHRs as well as be leveraged as an important care provider.

Getting Ready for ICD-10 and Meaningful Use Stage 2.

For the past 24 years, most developed countries have used the International Classification of Diseases, Tenth Revision (ICD-10) to report physician services. In the United States, physicians have continued to use the American Medical Association Current Procedural Terminology, Fourth Edition and the Healthcare Common Procedure Coding System. The ICD-10-Clinical Modification (CM) has approximately 4.9 times more codes than the International Classification of Diseases, Ninth Revision. ICD-10-CM allows for more specific descriptors of a procedure and is broken down by category, etiology, anatomic site, severity, and extension. ICD-10-CM is scheduled to be implemented by Medicare and commercial payers on October 1, 2015. In addition to ICD-10 implementation, physicians have to meet the requirements of the Meaningful Use Electronic Health Record Incentive Program. The Meaningful Use program is designed to promote the use of certified electronic health technology by providing eligible professionals with incentive payments if they meet the defined core and menu objectives of each stage of the program. All core measures must be met; however, providers can choose to meet a preset number of menu measures. Meaningful Use Stage 1 required eligible professionals to meet core and menu objectives that focused on data capture and sharing. Meaningful Use Stage 2 requires eligible professionals to meet core and menu objects that focus on advanced clinical processes for a full year in 2015. Stage 3 has been delayed until 2017, and core and menu measures that will focus on improving outcomes have not yet been defined. It is important for orthopaedic surgeons to understand the history of and techniques for the use of ICD-10-CM in clinical practice. Orthopaedic surgeons also should understand the requirements for Meaningful Use Stages 1 and 2, including the core objectives that must be met to achieve satisfactory attestation.

The application of Big Data in medicine: current implications and future directions.

Since the mid 1980s, the world has experienced an unprecedented explosion in the capacity to produce, store, and communicate data, primarily in digital formats. Simultaneously, access to computing technologies in the form of the personal PC, smartphone, and other handheld devices has mirrored this growth. With these enhanced capabilities of data storage and rapid computation as well as real-time delivery of information via the internet, the average daily consumption of data by an individual has grown exponentially. Unbeknownst to many, Big Data has silently crept into our daily routines and, with continued development of cheap data storage and availability of smart devices both regionally and in developing countries, the influence of Big Data will continue to grow. This influence has also carried over to healthcare. This paper will provide an overview of Big Data, its benefits, potential pitfalls, and the projected impact on the future of medicine in general and cardiology in particular.

Electronic Health Record Adoption In US Hospitals: Progress Continues, But Challenges Persist.

Achieving nationwide adoption of electronic health records (EHRs) remains an important policy priority. While EHR adoption has increased steadily since 2010, it is unclear how providers that have not yet adopted will fare now that federal incentives have converted to penalties. We used 2008-14 national data, which includes the most recently available, to examine hospital EHR trends. We found large gains in adoption, with 75 percent of US hospitals now having adopted at least a basic EHR system--up from 59 percent in 2013. However, small and rural hospitals continue to lag behind. Among hospitals without a basic EHR system, the function most often not yet adopted (in 61 percent of hospitals) was physician notes. We also saw large increases in the ability to meet core stage 2 meaningful-use criteria (40.5 percent of hospitals, up from 5.8 percent in 2013); much of this progress resulted from increased ability to meet criteria related to exchange of health information with patients and with other physicians during care transitions. Finally, hospitals most often reported up-front and ongoing costs, physician cooperation, and complexity of meeting meaningful-use criteria as challenges. Our findings suggest that nationwide hospital EHR adoption is in reach but will require attention to small and rural hospitals and strategies to address financial challenges, particularly now that penalties for lack of adoption have begun.

A Narrative Review of Meaningful Use and Anesthesia Information Management Systems.

The US federal government has enacted legislation for a federal incentive program for health care providers and hospitals to implement electronic health records. The primary goal of the Meaningful Use (MU) program is to drive adoption of electronic health records nationwide and set the stage to monitor and guide efforts to improve population health and outcomes. The MU program provides incentives for the adoption and use of electronic health record technology and, in some cases, penalties for hospitals or providers not using the technology. The MU program is administrated by the Department of Health and Human Services and is divided into 3 stages that include specific reporting and compliance metrics. The rationale is that increased use of electronic health records will improve the process of delivering care at the individual level by improving the communication and allow for tracking population health and quality improvement metrics at a national level in the long run. The goal of this narrative review is to describe the MU program as it applies to anesthesiologists in the United States. This narrative review will discuss how anesthesiologists can meet the eligible provider reporting criteria of MU by applying anesthesia information management systems (AIMS) in various contexts in the United States. Subsequently, AIMS will be described in the context of MU criteria. This narrative literature review also will evaluate the evidence supporting the electronic health record technology in the operating room, including AIMS, independent of certification requirements for the electronic health record technology under MU in the United States.

The impact of health information technology on staffing.

Hospitals nationwide must demonstrate meaningful use by 2015 or face fines. For over 20 years, researchers have attempted to assess the impact of electronic record keeping technologies on the quality, safety, and efficiency of care, but results are inconclusive and hospital managers have little evidence on which to base staffing decisions as we hurtle toward the era of the paperless hospital.

The Health IT Regional Extension Center Program: evolution and lessons for health care transformation.

OBJECTIVE: Assess the Regional Extension Center (REC) program's progress toward its goal of supporting over 100,000 providers in small, rural, and underserved practices to achieve meaningful use (MU) of an electronic health record (EHR). DATA SOURCES/STUDY SETTING: Data collected January 2010 through June 2013 via monitoring and evaluation of the 4-year REC program. STUDY DESIGN: Descriptive study of 62 REC programs. DATA COLLECTION/EXTRACTION METHODS: Primary data collected from RECs were merged with nine other datasets, and descriptive statistics of progress by practice setting and penetration of targeted providers were calculated. PRINCIPAL FINDINGS: RECs recruited almost 134,000 primary care providers (PCPs), or 44 percent of the nation's PCPs; 86 percent of these were using an EHR with advanced functionality and almost half (48 percent) have demonstrated MU. Eighty-three percent of Federally Qualified Health Centers and 78 percent of the nation's Critical Access Hospitals were participating with an REC. CONCLUSIONS: RECs have made substantial progress in assisting PCPs with adoption and MU of EHRs. This infrastructure supports small practices, community health centers, and rural and public hospitals to use technology for care delivery transformation and improvement.

Provider-to-provider electronic communication in the era of meaningful use: a review of the evidence.

BACKGROUND: Electronic communication between providers occurs daily in clinical practice but has not been well studied. PURPOSE: To assess the impact of provider-to-provider electronic communication tools on communication and healthcare outcomes through literature review. DATA SOURCES: Ovid MEDLINE, PubMed, Google Scholar, Cumulative Index to Nursing and Allied Health Literature, and Academic Search Premier. STUDY SELECTION: Publication in English-language peer-reviewed journals. Studies provided quantitative provider-to-provider communication data, provider satisfaction statistics, or electronic health record (EHR) communication data. DATA EXTRACTION: Literature review. DATA SYNTHESIS: Two reviewers conducted the title review to determine eligible studies from initial search results. Three reviewers independently reviewed titles, abstracts, and full text (where appropriate) against inclusion and exclusion criteria. LIMITATIONS: Small number of eligible studies; few described trial design (20%). Homogeneous provider type (physicians). English-only studies. CONCLUSIONS: Of 25 included studies, all focused on physicians; most were observational (68%). Most (60%) described electronic specialist referral tools. Although overall use has been measured, there were no studies of the effectiveness of intra-EHR messaging. Literature describing the effectiveness of provider-to-provider electronic communications is sparse and narrow in scope. Complex care, such as that envisioned for the Patient Centered Medical Home, necessitates further research.