The Impact of Market Factors on Meaningful Use of Electronic Health Records Among Primary Care Providers: Evidence From Florida Using Resource Dependence Theory and Information Uncertainty Perspective.

BACKGROUND: Using federal funds from the 2009 Health Information Technology for Economic and Clinical Health Act, the Centers for Medicare and Medicaid Services funded the 2011-2021 Medicaid electronic health record (EHR) incentive programs throughout the country. OBJECTIVE: Identify the market factors associated with Meaningful Use (MU) of EHRs after primary care providers (PCPs) enrolled in the Florida-EHR incentives program through Adopting, Improving, or Upgrading (AIU) an EHR technology. RESEARCH DESIGN: Retrospective cohort study using 2011-2018 program records for 8464 Medicaid providers. MAIN OUTCOME: MU achievement after first-year incentives. INDEPENDENT VARIABLES: The resource dependence theory and the information uncertainty perspective were used to generate key-independent variables, including the county's rurality, educational attainment, poverty, health maintenance organization penetration, and number of PCPs per capita. ANALYTICAL APPROACH: All the county rates were converted into 3 dichotomous measures corresponding to high, medium, and low terciles. Descriptive and bivariate statistics were calculated. A generalized hierarchical linear model was used because MU data were clustered at the county level (level 2) and measured at the practice level (level 1). RESULTS: Overall, 41.9% of Florida Medicaid providers achieved MU after receiving first-year incentives. Rurality was positively associated with MU ( P <0.001). Significant differences in MU achievements were obtained when we compared the "high" terciles with the "low" terciles for poverty rates ( P =0.002), health maintenance organization penetration rates ( P =0.02), and number of PCPs per capita ( P =0.01). These relationships were negative. CONCLUSIONS: Policy makers and health care managers should not ignore the contribution of market factors in EHR adoption.

Meaningful patient and public involvement in digital health innovation, implementation and evaluation: A systematic review.

INTRODUCTION: The importance of meaningfully involving patients and the public in digital health innovation is widely acknowledged, but often poorly understood. This review, therefore, sought to explore how patients and the public are involved in digital health innovation and to identify factors that support and inhibit meaningful patient and public involvement (PPI) in digital health innovation, implementation and evaluation. METHODS: Searches were undertaken from 2010 to July 2020 in the electronic databases MEDLINE, EMBASE, PsycINFO, CINAHL, Scopus and ACM Digital Library. Grey literature searches were also undertaken using the Patient Experience Library database and Google Scholar. RESULTS: Of the 10,540 articles identified, 433 were included. The majority of included articles were published in the United States, United Kingdom, Canada and Australia, with representation from 42 countries highlighting the international relevance of PPI in digital health. 112 topic areas where PPI had reportedly taken place were identified. Areas most often described included cancer (n = 50), mental health (n = 43), diabetes (n = 26) and long-term conditions (n = 19). Interestingly, over 133 terms were used to describe PPI; few were explicitly defined. Patients were often most involved in the final, passive stages of an innovation journey, for example, usability testing, where the ability to proactively influence change was severely limited. Common barriers to achieving meaningful PPI included data privacy and security concerns, not involving patients early enough and lack of trust. Suggested enablers were often designed to counteract such challenges. CONCLUSIONS: PPI is largely viewed as valuable and essential in digital health innovation, but rarely practised. Several barriers exist for both innovators and patients, which currently limits the quality, frequency and duration of PPI in digital health innovation, although improvements have been made in the past decade. Some reported barriers and enablers such as the importance of data privacy and security appear to be unique to PPI in digital innovation. Greater efforts should be made to support innovators and patients to become meaningfully involved in digital health innovations from the outset, given its reported benefits and impacts. Stakeholder consensus on the principles that underpin meaningful PPI in digital health innovation would be helpful in providing evidence-based guidance on how to achieve this. PATIENT OR PUBLIC CONTRIBUTION: This review has received extensive patient and public contributions with a representative from the Patient Experience Library involved throughout the review's conception, from design (including suggested revisions to the search strategy) through to article production and dissemination. Other areas of patient and public contributor involvement include contributing to the inductive thematic analysis process, refining the thematic framework and finalizing theme wording, helping to ensure relevance, value and meaning from a patient perspective. Findings from this review have also been presented to a variety of stakeholders including patients, patient advocates and clinicians through a series of focus groups and webinars. Given their extensive involvement, the representative from the Patient Experience Library is rightly included as an author of this review.

Meaningful use of a digital platform and structured telephone support to facilitate remote person-centred care - a mixed-method study on patient perspectives.

BACKGROUND: Process evaluations are useful in clarifying results obtained from randomised controlled trials (RCTs). Traditionally, the degree of intervention usage in process evaluations is monitored by measuring dose or evaluating implementation fidelity. From a person-centred perspective, such evaluations should be supplemented with patients' experiences of meaningful use, given that intervention use should be agreed upon between interested parties and tailored to each patient. This study aimed to elucidate patients' experiences of a remote person-centred care (PCC) intervention by deepening the understanding of, if, how and for whom the intervention contributed to meaningful use. METHODS: Patients (n = 86) were recruited from the RCT PROTECT intervention group. A convergent mixed-method approach was implemented. Data were collected in parallel with the ongoing RCT via a survey, including ratings and written comments on meaningful or non-meaningful use. Also, interviews were performed with twelve purposefully selected participants. Descriptive statistics, logistic regression and content analysis were employed. Data sources were integrated in the results. RESULTS: Most participants rated the overall intervention as meaningful to use, with the telephone support rated as most meaningful. Interviews and written comments showed that patient ratings on meaningful use were explained by four categories: Not in need, Communication deficiency, Benefits in everyday life and A personal boost. Meaningful use of rating symptoms on the digital platform was predicted by living alone (adjusted odds ratio [aOR] = 2.8 P = .044). A diagnosis of chronic obstructive pulmonary disease (COPD) predicted meaningful use of digital platform direct messaging (aOR = 3.5, P = .045). Moreover, having access to direct-dial telephone contact explained meaningful use among participants with low ratings of technical competence (aOR = 3.6, P = .014). CONCLUSIONS: The combined digital platform and structured telephone support could be helpful in identifying preventive actions to maintain health for people diagnosed with COPD and chronic heart failure but tends to be more meaningful for those diagnosed with COPD. Overall, lower adoption of the digital platform was seen compared to telephone support. Shortcomings were noted in the digital platform's implementation that negatively influences experiences of meaningful use. When used, the intervention proved to be an easily applicable and valued tool to support preventive actions in a person-centred manner.

Ideas About Resourcing Health Care in the United States: Can Economic Evaluation Achieve Meaningful Use?

The United States is one of the few high-income countries not to apply economic evaluation routinely to health care decision making on a national level, yet it excels at spending least efficiently on health care. In the interest of continuing to develop new solutions to curb spending on health care and reduce waste in the United States, perhaps now is an important moment to reconsider the benefits of economic evaluation and the barriers that must be overcome to have it emerge as a solution for health care institutions and the patients they serve. This article offers several distinct considerations to make economic evaluation methods (such as cost-effectiveness analysis) an effective component of value-based decision making in the United States. These considerations include overcoming the barriers presented by opportunity costs, spending on health care services versus biomedical technologies, phasing out low-value care, using value of information to prioritize resources, and determining what to do with the quality-adjusted life-year. These issues need to be addressed to achieve a collective purpose for economic evaluation at state and national levels.

Do Patient Engagement IT Functionalities Influence Patient Safety Outcomes? A Study of US Hospitals.

OBJECTIVE: Patient engagement using health information technology (IT) functionalities can be a powerful tool in managing their own care for better health outcomes. Therefore, this study explores whether patient engagement IT functionalities and electronic health record (EHR) can affect patient safety outcomes. DESIGN: Using longitudinal study design for general acute care hospitals within the United States, we examine the interaction effects of EHR and patient engagement IT functionalities on patient safety outcomes (adverse incident rate) using a generalized estimating equation. SETTING: Our national sample consisted of 9759 hospital-year observations from 2014 to 2018. Overall, we found a significant association between adverse incident rate and patient engagement level and EHR adoption level. RESULTS: On average, as the combined effects of patient engagement level and EHR adoption level increases, the adverse incident rate decreases by approximately 0.49 (P < .01). Incorporating patient engagement functionalities is becoming an essential tool to improve health outcomes and will play an instrumental role in meeting meaningful use standards. CONCLUSIONS: Our study provides insights into the potential synergy between a hospital's existing EHR maturity and patient engagement health IT functionalities in affecting organizational performance. Organizational culture and capabilities pertinent to adopting patient engagement health IT functionalities infrastructure should be established first to provide the impetus for this synergy.

Addressing psychiatric disorders and genetics: the meaningful use of comics for health information.

In the fields of healthcare and education, comics have shown considerable academic and teaching importance, with their combination of text and images. As a well-known character in comics, Batman allows us to discuss several relevant topics, from the outcomes in adulthood of experiencing parental death in childhood to genetic and epigenetic changes that may be factors of vulnerability to psychiatric disorders in adulthood. In this text, a narrative of Batman is developed, demonstrating the possibility of using it in an academic context and intending at paying greater attention to patients' history and the relationship between genetics and behaviour.

Clinical Quality Measure Exchange is Not Easy.

PURPOSE: The Trial of Aggregate Data Exchange for Maintenance of Certification and Raising Quality was a randomized controlled trial which first had to test whether quality reporting could be a by-product of clinical care. We report on the initial descriptive study of the capacity for and quality of exchange of whole-panel, standardized quality measures from health systems. METHODS: Family physicians were recruited from 4 health systems with mature quality measurement programs and agreed to submit standardized, physician-level quality measures for consenting physicians. Identified measure or transfer errors were captured and evaluated for root-cause problems. RESULTS: The health systems varied considerably by patient demographics and payer mix. From the 4 systems, 256 family physicians elected to participate. Of 19 measures negotiated for use, 5 were used by all systems. There were more than 15 types of identified errors including breaks in data delivery, changes in measures, and nonsensical measure results. Only 1 system had no identified errors. CONCLUSIONS: The secure transfer of standardized, physician-level quality measures from 4 health systems with mature measure processes proved difficult. There were many errors that required human intervention and manual repair, precluding full automation. This study reconfirms an important problem, namely, that despite widespread health information technology adoption and federal meaningful use policies, we remain far from goals to make clinical quality reporting a reliable by-product of care.

Analyzing Patient Secure Messages Using a Fast Health Care Interoperability Resources (FIHR)-Based Data Model: Development and Topic Modeling Study.

BACKGROUND: Patient portals tethered to electronic health records systems have become attractive web platforms since the enacting of the Medicare Access and Children's Health Insurance Program Reauthorization Act and the introduction of the Meaningful Use program in the United States. Patients can conveniently access their health records and seek consultation from providers through secure web portals. With increasing adoption and patient engagement, the volume of patient secure messages has risen substantially, which opens up new research and development opportunities for patient-centered care. OBJECTIVE: This study aims to develop a data model for patient secure messages based on the Fast Healthcare Interoperability Resources (FHIR) standard to identify and extract significant information. METHODS: We initiated the first draft of the data model by analyzing FHIR and manually reviewing 100 sentences randomly sampled from more than 2 million patient-generated secure messages obtained from the online patient portal at the Mayo Clinic Rochester between February 18, 2010, and December 31, 2017. We then annotated additional sets of 100 randomly selected sentences using the Multi-purpose Annotation Environment tool and updated the data model and annotation guideline iteratively until the interannotator agreement was satisfactory. We then created a larger corpus by annotating 1200 randomly selected sentences and calculated the frequency of the identified medical concepts in these sentences. Finally, we performed topic modeling analysis to learn the hidden topics of patient secure messages related to 3 highly mentioned microconcepts, namely, fatigue, prednisone, and patient visit, and to evaluate the proposed data model independently. RESULTS: The proposed data model has a 3-level hierarchical structure of health system concepts, including 3 macroconcepts, 28 mesoconcepts, and 85 microconcepts. Foundation and base macroconcepts comprise 33.99% (841/2474), clinical macroconcepts comprise 64.38% (1593/2474), and financial macroconcepts comprise 1.61% (40/2474) of the annotated corpus. The top 3 mesoconcepts among the 28 mesoconcepts are condition (505/2474, 20.41%), medication (424/2474, 17.13%), and practitioner (243/2474, 9.82%). Topic modeling identified hidden topics of patient secure messages related to fatigue, prednisone, and patient visit. A total of 89.2% (107/120) of the top-ranked topic keywords are actually the health concepts of the data model. CONCLUSIONS: Our data model and annotated corpus enable us to identify and understand important medical concepts in patient secure messages and prepare us for further natural language processing analysis of such free texts. The data model could be potentially used to automatically identify other types of patient narratives, such as those in various social media and patient forums. In the future, we plan to develop a machine learning and natural language processing solution to enable automatic triaging solutions to reduce the workload of clinicians and perform more granular content analysis to understand patients' needs and improve patient-centered care.

The effectiveness of electronic health record promotion for healthcare providers in the United States since the Health Information Technology for Economic and Clinical Health Act: An empirical investigation.

The US Government has embarked on the largest initiative to date to encourage widespread use of electronic health records (EHRs). Up to now, it is not yet clear that what the actual effectiveness of EHR promotion is like since the Health Information Technology for Economic and Clinical Health (HITECH) Act. As a response, this study analyzes the EHR conversion at the primary stage (sign-up EHR→go-live EHR) and the advanced stage (go-live EHR→meaningful use of EHR) for different types of healthcare providers in the United States. With the data from the Office of National Coordinator for Health Information Technology-Regional Extension Centers Program, this study finds that healthcare providers have achieved progress in the EHR conversion at both the primary and advanced stage. However, the levels of progress made at different stages of EHR conversion vary for different providers. For rural and underserved healthcare settings, the progress made at the advanced stage is smaller than that at the primary stage, contrary to the case for other kinds of providers. Moreover, although the greater progress has been made at the advanced stage for some kinds of providers, the overall level of EHR conversion for various healthcare providers is far greater at the primary stage than at the advanced stage.

Discrete Heart Rate Values or Continuous Streams? Representation, Variability, and Meaningful Use of Vital Sign Data.

Documentation and review of patient heart rate are a fundamental process across a myriad of clinical settings. While historically recorded manually, bedside monitors now provide for the automated collection of such data. Despite the availability of continuous streaming data, patients' charts continue to reflect only a subset of this information as snapshots recorded throughout a hospitalization. Over the past decade, prominent works have explored the implications of such practices and established fundamental differences in the alignment of discrete charted vitals and steaming data captured by monitoring systems. Limited work has examined the temporal properties of these differences, how they manifest, and their relation to clinical applications. The work presented in this article addresses this disparity, providing evidence that differences between charting techniques extend to measures of variability. Our results demonstrate how variability manifests with respect to temporal elements of charting timing and how it can facilitate personalized care by contextualizing deviations in magnitude. This work also highlights the utility of variability metrics with relation to clinical measures including associations to severity scores and a case study utilizing complex variability metrics derived from the complete set of monitor data.

Seeking Meaningful Innovation: Lessons Learned Developing, Evaluating, and Implementing the Electronic Patient-Reported Outcome Tool.

Digital health solutions, in particular information communication technologies, often experience implementation failures leading to slower adoption than expected. This implementation challenge has spurred the development of frameworks to help navigate this uncertain and messy process. These frameworks point to environmental, organizational, individual, and technological factors that can drive or hinder implementation, with some in the field suggesting that perceived value may play a pivotal role. However, the concept of value can have varying meanings and be challenging to operationalize as a means to support implementation. Attending to philosophical and psychological meaningfulness for users and organizations in which technologies are adopted may offer a useful lens, by linking perceived value to individual behavior changes often required as part of implementing digital health technologies. Lessons learned from developing, evaluating, and implementing the electronic Patient-Reported Outcome (ePRO) tool demonstrate how qualitative methods can be used to uncover meaningfulness. By drawing from this example and other similar studies, this viewpoint offers suggestions on how future inquiry could deepen an understanding of meaningful innovation to help drive the implementation of digital health technologies.

Impact of Age on Patients' Communication and Technology Preferences in the Era of Meaningful Use: Mixed Methods Study.

BACKGROUND: Identifying effective means of communication between patients and their health care providers has a positive impact on patients' satisfaction, adherence, and health-related outcomes. OBJECTIVE: This study aimed to identify the impact of patients' age on their communication and technology preferences when managing their health. We hypothesize that a patient's age affects their communication and technology preferences when interacting with clinicians and managing their health. METHODS: A mixed methods study was conducted to identify the preferences of patients with cardiovascular diseases. Results were analyzed based on the patients' age. Grounded theory was used to analyze the qualitative data. Patients were recruited based on age, gender, ethnicity, and zip code. RESULTS: A total of 104 patients were recruited: 34 young adults (19-39 years), 33 middle aged (40-64), and 37 senior citizens (>65). Young adults (mean 8.29, SD 1.66) reported higher computer self-efficacy than middle-aged participants (mean 5.56, SD 3.43; P<.05) and senior citizens (mean 47.55, SD 31.23; P<.05). Qualitative analysis identified the following three themes: (1) patient engagement (young adults favored mobile technologies and text messaging, middle-aged patients preferred phone calls, and senior citizens preferred direct interactions with the health care provider); (2) patient safety (young adults preferred electronic after-visit summaries [AVS] and medication reconciliation over the internet; middle-aged patients preferred paper-based or emailed AVS and medication reconciliation in person; senior citizens preferred paper-based summaries and in-person medication reconciliation); (3) technology (young adults preferred smartphones and middle-aged patients and senior citizens preferred tablets or PCs). Middle-aged patients were more concerned about computer security than any other group. A unique finding among senior citizens was the desire for caregivers to have access to their personal health record (PHR). CONCLUSIONS: Patients of different ages have different communication and technology preferences and different preferences with respect to how they would like information presented to them and how they wish to interact with their provider. The PHR is one approach to improving patient engagement, but nontechnological options need to be sustained to support all patients.

The Scottish national LifeCurve™ survey: costs of functional decline, opportunities to achieve early intervention to support well-being in later life, and meaningfulness of the LifeCurve™.

OBJECTIVES: The aim of the Scottish AHP LifeCurve™ survey was to gather a snapshot of where people are on their LifeCurve™ when receiving allied health professions (AHP) services and to understand the cost consequence of intervening 'late' in the ageing trajectory. The objectives were to promote discussion around preventing functional decline, support innovation in service delivery, and facilitate broader engagement with individuals, communities, and wider environments for improving health and well-being in later life. In addition, subsequent learning could help address the increasing resource gap between the demand and capacity across health and social care. STUDY DESIGN: The survey was paper-based in the form of a printed booklet, which contained the 15 activities of daily living (ADL) and instrumental ADL (IADL) which comprise the LifeCurve™ with additional lifestyle questions and information about the member of staff and service the participant was seen in, including their Community Health Index (CHI) number. The survey questions and booklet layout were tested over a five-month period with AHPs and people receiving AHP services. Liaison with national health literacy colleagues and lead speech and language therapists ensured that the survey material was accessible to a wide range of people. In addition, the survey could be made available in alternative formats, on request. METHODS: Agreement to undertake the national survey was obtained in November 2016 by all AHP directors and associate directors who appointed communication support leads in their area who would support implementation at all stages at a local level. All materials relating to the survey were published on a dedicated area of a community of practice to support awareness and training during the preimplementation phase. AHPs working in adult services were asked to complete a survey with a minimum of two people they would 'typically' see in their service during a two-week period in May 2017, with the exclusion of people who were too unwell to participate, children and young people under 16 years, and adults with incapacity and without a guardianship arrangement in place. Approval was gained from the Public Benefit Privacy Panel to link the survey data to participants' health service usage using their CHI number. Completed forms were returned to the University of Strathclyde for entry into an encrypted electronic database using a double data entry process and were allocated a unique identifier. The unique identifier and CHI numbers were sent to Information Services Division (ISD), and then, the CHI numbers were deleted from the encrypted database. ISD sent the linked health data to the Scottish Government Analytical Services Division, which thus produced a full encrypted and anonymised database. RESULTS: The data explain what stages on the LifeCurve™ AHPs are intervening, and the matched data provide associated healthcare costs at each stage. Due to poor or missing data in the AHP/Service section, only 60% (n = 8261) of the total completed surveys were able to be matched with health service usage records. These data show that whilst AHPs are seeing people at each of the 15 ADL/IADL stages on the LifeCurve™, interventions fell into three groups where 25% of people where seen at the 'precurve' stage, 13% of people at 'mid-curve' (stage number five), and 39% of people at 'late-curve' (stages 10 to 13). The healthcare cost usage of these participants increased the further along the LifeCurve™ a person moves, with an average annual cost of £2700 at 'precurve' rising to £12,330 at 'late-curve' in 2016-2017. The results indicate that different services and professions are represented at each of these three points. So, for example, as might be expected, outpatient (especially musculoskeletal) services were seen more often at the 'precurve' stage, and in-patient and community rehabilitation, services were seen more often at the 'late-curve' stages; diagnostic radiographers and orthoptists saw people at the 'early-curve' stages, dieticians and podiatrists saw people at the 'mid-curve' stage, whilst physiotherapists, speech and language therapists, and occupational therapists saw people at the 'late-curve' stages. Data analysis showed this pattern is different for people receiving mental health services and, so, their data were removed and will be analysed and reported separately. CONCLUSIONS: It is clear from the results that healthcare costs increased as participants moved down LifeCurve™ stages, that is, as their levels of functional decline increase. It is also clear that AHPs are intervening late in a person's functional decline with associated limitations on changing their ageing trajectory. The cost consequence of this is significant - moving someone from 'late- to mid-curve' could save £3200 per person per annum. However, those AHPs typically associated with reabling approaches and rehabilitation, which have greatest potential to change ageing trajectories, were not represented at the 'mid-curve' stage (e.g., physiotherapists, occupational therapists). Therefore, we must find places to have conversations with people to inform them that functional decline is malleable and not inevitable purely by virtue of chronological age and provide education and support to prevent or reverse functional decline and collaborate around strategic planning and commissioning to offer different options that support an optimum LifeCurve™.

Informatics Experience Can Help Predict Doctor of Nursing Practice Student Mastery of Informatics Competencies.

With information technology increasingly guiding nursing practice, Doctor of Nursing Practice students must be prepared to use informatics to optimize patient outcomes despite their varied experience and education. Understanding how students' baseline experience affects their mastery of informatics competencies could help faculty design Doctor of Nursing Practice course content. Therefore, the aim of this retrospective descriptive study was to evaluate whether Doctor of Nursing Practice students' baseline informatics experience affected their mastery of four competencies: meaningful use, datasets, e-health, and clinical support systems. Participants were Doctor of Nursing Practice students (n = 55) enrolled in an online informatics course. Participant experience was compared to competency mastery using χ tests. Logistic regression was performed to assess the effect of experience and highest degree obtained on competency mastery. Analysis revealed that participants with meaningful use experience were significantly more likely to master the meaningful use competency than were those without it. Relevant experience did not predict mastery of dataset competencies. Participants with e-health experience were significantly more likely to master the e-health competency (applying e-health resources to vulnerable patients' learning needs). While not significant, a greater percentage of students with clinical support systems experience mastered the clinical support systems competency. Informatics courses might need to be designed to address students' needs based on their experience.

Informed Application of the Standards on Support Surface Performance for Clinically Meaningful Use.

BACKGROUND: The Support Surface Standards Initiative (S3I) has evolved with the goal of standardizing language and performance evaluation of support surfaces. There is a consumer need for education about support surface standards to transfer new information with clinical relevance. OBJECTIVE: To develop a framework for meaningful dialogue through consensus building that drives value-based purchasing, propose a clinically relevant path for understanding how to apply data from the standards into critical interprofessional analysis and support surface selection, and navigate the first tier of a process targeted as an educational initiative within the Standards Committee. METHODS: The authors purposively sampled the S3I Tissue Integrity Group with a semi-structured qualitative survey to identify the essential components of support surfaces standard performance testing. A two-phase interview and review process was implemented within the larger S3I group to achieve consensus on content for knowledge transfer, with a threshold of 80% agreement within the Standards Committee. RESULTS: Meaningful consensus was achieved on content associated with knowledge transfer of standards data. These standards will function as reliable benchmarks, enabling consumers to compare individual characteristics of one support surface to another. Product comparison will be based on the single characteristics of support surfaces and how those characteristics are relevant to the specific needs of the individual patient or patient populations, transferred in language that is meaningful to end users of the standards. CONCLUSIONS: The consensus process facilitated construction of a clinically relevant, interprofessional framework for the product selection process within the Standards Committee. It will enable the next tier of educational dissemination beyond the Standards Committee to a broader base of consumers to engage in value-based purchasing with enhanced understanding of support surface performance characteristics.

Medicare Incentive Payments to United States Ophthalmologists for Use of Electronic Health Records: 2011-2016.

PURPOSE: To investigate ophthalmologists' rate of attestation to meaningful use (MU) of their electronic health record (EHR) systems in the Medicare EHR Incentive Program and their continuity and success in receiving payments in comparison with other specialties. DESIGN: Administrative database study. PARTICIPANTS: Eligible professionals participating in the Medicare EHR Incentive Program. METHODS: Based on publicly available data sources, subsets of payment and attestation data were created for ophthalmologists and for other specialties. The number of eligible professionals attesting was determined using the attestation data for each year and stage of the program. The proportion of attestations by EHR vendor was calculated using all attestations for each vendor. MAIN OUTCOME MEASURES: Numbers of ophthalmologists attesting by year and stage of the Medicare EHR Incentive Program, incentive payments, and number of attestations by EHR vendor. RESULTS: In the peak year of participation, 51.6% of ophthalmologists successfully attested to MU, compared with 37.1% of optometrists, 50.2% of dermatologists, 54.5% of otolaryngologists, and 64.4% of urologists. Across the 6 years of the program, ophthalmologists received an average of $17 942 in incentive payments compared with $11 105 for optometrists, $16 617 for dermatologists, $20 203 for otolaryngologists, and $23 821 for urologists. Epic and Nextgen were the most frequently used EHRs for attestation by ophthalmologists. CONCLUSIONS: Ophthalmology as a specialty performed better than optometry and dermatology, but worse than otolaryngology and urology, in terms of the proportion of eligible professionals attesting to MU of EHRs. Ophthalmologists were more likely to remain in the program after their initial year of attestation compared with all eligible providers. The top 4 EHR vendors accounted for 50% of attestations by ophthalmologists.

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.

After-visit summaries in primary care: mixed methods results from a literature review and stakeholder interviews.

BACKGROUND: After-visit summary (AVS) documents presenting key information from each medical encounter have become standard in the USA due to federal health care reform. Little is known about how they are used or whether they improve patient care. METHODS: First, we completed a literature review and described the totality of the literature on AVS by article type and major outcome measures. Next, we used reputational sampling from large-scale US studies on primary care to identify and interview nine stakeholders on their perceptions of AVS across high-performing primary care practices. Interviews were transcribed and coded for AVS use in practice, perceptions of the best/worst features and recommendations for improving AVS utility in routine care. RESULTS: The literature review resulted in 17 studies; patients reported higher perceived value of AVS compared with providers, despite poor recall of specific AVS content and varied post-visit use. In key informant interviews, key informants expressed enthusiasm for the potential of using AVS to reinforce key information with patients, especially if AVS were customizable. Despite this potential, key informants found that AVS included incorrect information and did not feel that patients or their practices were using AVS to enhance care. CONCLUSIONS: There is a gap between the potential of AVS and how providers and patients are using it in routine care. Suggestions for improved use of AVS include increasing customization, establishing care team responsibilities and workflows and ensuring patients with communication barriers have dedicated support to review AVS during visits.

Clinical decision support: practical implementation at two pediatric hospitals.

Clinical decision support has been identified by the United States government as a method to decrease inappropriate imaging exams and promote judicious use of imaging resources. The adoption of this method will be incentivized by requiring appropriate use criteria to qualify for Medicare reimbursement starting in January 2020. While Medicare reimbursement is unlikely to directly impact pediatric imaging because of largely disparate patient populations, insurance providers typically use Medicare to benchmark their reimbursement guidelines. Therefore soon after their adoption these guidelines could become relevant to pediatric imaging. In this article we discuss how pediatric imaging was initially underrepresented in the clinical decision support realm, and how this was addressed by a subcommittee involving both American College of Radiology and Society for Pediatric Radiology members. We also present the experience of implementing clinical decision support software at two standalone pediatric hospitals and summarize the lessons learned from these deployments.

Unintended Consequences of Nationwide Electronic Health Record Adoption: Challenges and Opportunities in the Post-Meaningful Use Era.

The US health system has recently achieved widespread adoption of electronic health record (EHR) systems, primarily driven by financial incentives provided by the Meaningful Use (MU) program. Although successful in promoting EHR adoption and use, the program, and other contributing factors, also produced important unintended consequences (UCs) with far-reaching implications for the US health system. Based on our own experiences from large health information technology (HIT) adoption projects and a collection of key studies in HIT evaluation, we discuss the most prominent UCs of MU: failed expectations, EHR market saturation, innovation vacuum, physician burnout, and data obfuscation. We identify challenges resulting from these UCs and provide recommendations for future research to empower the broader medical and informatics communities to realize the full potential of a now digitized health system. We believe that fixing these unanticipated effects will demand efforts from diverse players such as health care providers, administrators, HIT vendors, policy makers, informatics researchers, funding agencies, and outside developers; promotion of new business models; collaboration between academic medical centers and informatics research departments; and improved methods for evaluations of HIT.