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.

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.

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.

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.

Clinically Meaningful Use of Mental Health Apps and its Effects on Depression: Mixed Methods Study.

BACKGROUND: User engagement is key to the effectiveness of digital mental health interventions. Considerable research has examined the clinical outcomes of overall engagement with mental health apps (eg, frequency and duration of app use). However, few studies have examined how specific app use behaviors can drive change in outcomes. Understanding the clinical outcomes of more nuanced app use could inform the design of mental health apps that are more clinically effective to users. OBJECTIVE: This study aimed to classify user behaviors in a suite of mental health apps and examine how different types of app use are related to depression and anxiety outcomes. We also compare the clinical outcomes of specific types of app use with those of generic app use (ie, intensity and duration of app use) to understand what aspects of app use may drive symptom improvement. METHODS: We conducted a secondary analysis of system use data from an 8-week randomized trial of a suite of 13 mental health apps. We categorized app use behaviors through a mixed methods analysis combining qualitative content analysis and principal component analysis. Regression analyses were used to assess the association between app use and levels of depression and anxiety at the end of treatment. RESULTS: A total of 3 distinct clusters of app use behaviors were identified: learning, goal setting, and self-tracking. Each specific behavior had varied effects on outcomes. Participants who engaged in self-tracking experienced reduced depression symptoms, and those who engaged with learning and goal setting at a moderate level (ie, not too much or not too little) also had an improvement in depression. Notably, the combination of these 3 types of behaviors, what we termed "clinically meaningful use," accounted for roughly the same amount of variance as explained by the overall intensity of app use (ie, total number of app use sessions). This suggests that our categorization of app use behaviors succeeded in capturing app use associated with better outcomes. However, anxiety outcomes were neither associated with specific behaviors nor generic app use. CONCLUSIONS: This study presents the first granular examination of user interactions with mental health apps and their effects on mental health outcomes. It has important implications for the design of mobile health interventions that aim to achieve greater user engagement and improved clinical efficacy.

Sensitivity of Claims-Based Algorithms to Ascertain Smoking Status More Than Doubled with Meaningful Use.

BACKGROUND: The "meaningful use of certified electronic health record" policy requires eligible professionals to record smoking status for more than 50% of all individuals aged 13 years or older in 2011 to 2012. OBJECTIVES: To explore whether the coding to document smoking behavior has increased over time and to assess the accuracy of smoking-related diagnosis and procedure codes in identifying previous and current smokers. METHODS: We conducted an observational study with 5,423,880 enrollees from the year 2009 to 2014 in the Truven Health Analytics database. Temporal trends of smoking coding, sensitivity, specificity, positive predictive value, and negative predictive value were measured. RESULTS: The rate of coding of smoking behavior improved significantly by the end of the study period. The proportion of patients in the claims data recorded as current smokers increased 2.3-fold and the proportion of patients recorded as previous smokers increased 4-fold during the 6-year period. The sensitivity of each International Classification of Diseases, Ninth Revision, Clinical Modification code was generally less than 10%. The diagnosis code of tobacco use disorder (305.1X) was the most sensitive code (9.3%) for identifying smokers. The specificities of these codes and the Current Procedural Terminology codes were all more than 98%. CONCLUSIONS: A large improvement in the coding of current and previous smoking behavior has occurred since the inception of the meaningful use policy. Nevertheless, the use of diagnosis and procedure codes to identify smoking behavior in administrative data is still unreliable. This suggests that quality improvements toward medical coding on smoking behavior are needed to enhance the capability of claims data for smoking-related outcomes research.

Assessing the value of the Meaningful Use Clinical Summary for patients and families with pediatric asthma.

Electronic clinical summaries are innovations supported by the Electronic Health Record Incentive Program, known as "Meaningful Use" (MU). The MU clinical summary documents the shared understanding of the plan of care for patients and assists families in managing asthma-related health care. The purpose of this analysis was to identify the communicative value of the summaries to patients and families. Readability measurements, content analysis, and descriptive statistics were employed in a review of twenty clinical summaries and compared with provider encounter notes. The average age of the patients from whom we collected clinical summaries was six years old. The average reading level of the summaries was ninth grade. Neither summaries nor health education contained visual images. There was a total of nine different asthma diagnoses. A full list of diagnoses was present in 45% of summaries. The average medications per patient was 5.75, and there were multiple medication changes noted (dosage adjustment, add, discontinued). Allergies, vital signs, and smoking status were reliably reported (99-100%). Provider orders present included medication, follow up, and return to the clinic instructions. The plan of care was replicated on 45% of summaries. There was variable reporting of various asthma guidelines. Opportunities to improve the clinical summary include using plain language to promote readability, action, understanding, and health literacy, training providers to standardize their documentation and include asthma action plans, and configuring EHR settings to ensure diagnoses and plan of care is carried over from provider notes to the summary.

Addressing meaningful use and maintaining an accurate medication list in primary care.

OBJECTIVES: The primary objective of this project was to determine the difference in medication list accuracy between an initial and follow-up medication reconciliation visit in a primary care office. Secondary objectives were to identify the difference in medication-related problems most commonly encountered during the visits, factors that may influence patient understanding of their medication regimen, and physician perceptions of the medication review visit. SETTING: Quasi-experimental study part of a larger pilot project to address the ability of how health information technology can be used to maintain an active medication list. PRACTICE DESCRIPTION: Three family medicine residency clinics in the Midwest. Adult patients with diabetes or chronic obstructive pulmonary disease who had 6 or more long-term medications listed in the electronic health record (EHR) were recruited to participate. PRACTICE INNOVATION: An initial comprehensive medication reconciliation visit was conducted by a resident physician and a pharmacist with the goal of ensuring an accurate, easy-to-follow, electronically developed medication list. A follow-up visit with the pharmacist occurred 3-6 months after the initial visit. EVALUATION: Medication list accuracy and medication-related problems were assessed at the initial and follow-up visits. Patient-related factors that could affect medication understanding were collected at the initial visit with status of enrollment in the EHR patient portal. RESULTS: Fifty-seven of 65 patients completed the study. The number of patients with an accurate medication list increased from 40% to 49% (P = 0.38). The number of medication-related problems decreased from 146 to 91 (P < 0.001). The use of special tools (e.g., pillboxes) was associated with fewer medication regimen errors (P = 0.036). Patients enrolled in the EHR patient portal were more likely to know the purpose of their medications as compared with those not enrolled (P = 0.019). CONCLUSION: An intentionally scheduled medication review with a primary care provider and pharmacist did not significantly improve the accuracy of the medication list, but it was associated with fewer drug-related problems.

[Meaning and humanity in care]. / Sens et humanité dans le soin.

Nursing practice is founded on numerous theories. While life sciences use evidence to design the most effective practices from a biomedical point of view, human sciences sometimes struggle to corroborate the perception of patients as caregivers in their humanised practice. This article presents a perspective of care in a resolutely human dimension, where the main objective is to be of use to the person.

How do Kenyan orphan girls experience less meaningful lives and how much does it matter for 'health'?

BACKGROUND: Currently, 2.5 million orphaned children are living in Kenya and 56 million orphaned children are living across sub-Saharan Africa. No empirical research has investigated meaningfulness of life among this population, and few studies provide perspectives on the life-course consequences of losing a parent during childhood. METHODS: In this study, we assess life meaningfulness in cross section of Kenyan women (n = 1974) in a semi-rural area of the country (Meru County) collected during June 2015. We used two sets of mediation analyses to assess (1) whether meaningfulness of life was lower among women who reported a parental death during their childhood, and how this association was mediated by social support, family functioning, school completion and HIV+ status of household, and (2) the extent to which lower subjective overall health among women who experienced orphanhood during childhood was mediated by less meaningfulness of life. RESULTS: Women who experienced a parental death during childhood reported significantly less meaningful lives as adults. Lower social support and family functioning explained approximately 40% of the disparity. Women who experienced a parental death during childhood also had significantly worse subjective overall health, 18% of which was explained by lower meaningfulness of life. CONCLUSIONS: Further study on life meaningfulness and family capital in the context of the orphan crisis in sub-Saharan Africa is warranted, and required to promote equity across the lifespan. Policy efforts to support orphans and vulnerable children should target strengthening support networks and family functioning to optimize self-reported health outcomes.

Complexity of Chronic Conditions' Impact on End-of-Life Expense Trajectories of Medicare Decedents.

OBJECTIVE: The aim of this study is to determine if the pattern of monthly medical expense can be used to identify individuals at risk of dying, thus supporting providers in proactively engaging in advanced care planning discussions. BACKGROUND: Identifying the right time to discuss end of life can be difficult. Improved predictive capacity has made it possible for nurse leaders to use large data sets to guide clinical decision making. METHODS: We examined the patterns of monthly medical expense of Medicare beneficiaries with life-limiting illness during the last 24 months of life using analysis of variance, t tests, and stepwise hierarchical linear modeling. RESULTS: In the final year of life, monthly medical expense increases rapidly for all disease groupings and forms distinct patterns of change. CONCLUSION: Type of condition can be used to classify decedents into distinctly different cost trajectories. Conditions including chronic disease, system failure, or cancer may be used to identify patients who may benefit from supportive care.

Nurses' Attitudes Toward Meaningful Use Technologies: An Integrative Review.

Nurses comprise the largest segment of the healthcare workforce. As such, their perceptions of any new technology are important to understand, as it may ultimately mean the difference between acceptance and rejection of a product. The three-stage meaningful use program is intended to help improve and standardize data capture and advance clinical processes to improve patient and population outcomes in the US. With more than 471 000 healthcare providers having already received meaningful use incentive payments totaling more than $20 billion as of June 2015, it is critical to understand how these technologies are being viewed and utilized in practice. Understanding nurses' attitudes toward healthcare technology may help drive acceptance, as well as maximize the inherent potential of the new technologies toward improving patient care. Thus, the purpose of this integrative review is to highlight what is known about nurses' attitudes toward meaningful use technologies.

Validation of Stroke Meaningful Use Measures in a National Electronic Health Record System.

BACKGROUND: The Meaningful Use (MU) program has increased the national emphasis on electronic measurement of hospital quality. OBJECTIVE: To evaluate stroke MU and one VHA stroke electronic clinical quality measure (eCQM) in national VHA data and determine sources of error in using centralized electronic health record (EHR) data. DESIGN: Our study is a retrospective cross-sectional study of stroke quality measure eCQMs vs. chart review in a national EHR. We developed local SQL algorithms to generate the eCQMs, then modified them to run on VHA Central Data Warehouse (CDW) data. eCQM results were generated from CDW data in 2130 ischemic stroke admissions in 11 VHA hospitals. Local and CDW results were compared to chart review. MAIN MEASURES: We calculated the raw proportion of matching cases, sensitivity/specificity, and positive/negative predictive values (PPV/NPV) for the numerators and denominators of each eCQM. To assess overall agreement for each eCQM, we calculated a weighted kappa and prevalence-adjusted bias-adjusted kappa statistic for a three-level outcome: ineligible, eligible-passed, or eligible-failed. KEY RESULTS: In five eCQMs, the proportion of matched cases between CDW and chart ranged from 95.4 %-99.7 % (denominators) and 87.7 %-97.9 % (numerators). PPVs tended to be higher (range 96.8 %-100 % in CDW) with NPVs less stable and lower. Prevalence-adjusted bias-adjusted kappas for overall agreement ranged from 0.73-0.95. Common errors included difficulty in identifying: (1) mechanical VTE prophylaxis devices, (2) hospice and other specific discharge disposition, and (3) contraindications to receiving care processes. CONCLUSIONS: Stroke MU indicators can be relatively accurately generated from existing EHR systems (nearly 90 % match to chart review), but accuracy decreases slightly in central compared to local data sources. To improve stroke MU measure accuracy, EHRs should include standardized data elements for devices, discharge disposition (including hospice and comfort care status), and recording contraindications.

Modified Stage 2 and Stage 3 Meaningful Use for Eligible Providers: Performance Metrics, Reporting Period Lengths, and Hardship Exemptions.

In October 2015, the Centers for Medicare & Medicaid Services released its final rule on the new guidelines for alterations to the long-standing EHR Incentive Program. These Modified Stage 2 and upcoming Stage 3 Meaningful Use Rules were developed in response to provider and organizational feedback during the last few years. This article provides a comprehensive overview for the new rules as they relate to Medicare and Medicaid Eligible Providers. Reporting deadlines for previous calendar year compliance and the basic criteria for automatic provider hardship exemptions to avoid reimbursement penalties also are discussed.

Health IT-Enabled Care Coordination: A National Survey of Patient-Centered Medical Home Clinicians.

PURPOSE: Health information technology (IT) offers promising tools for improving care coordination. We assessed the feasibility and acceptability of 6 proposed care coordination objectives for stage 3 of the Centers for Medicare and Medicaid Services electronic health record incentive program (Meaningful Use) related to referrals, notification of care from other facilities, patient clinical summaries, and patient dashboards. METHODS: We surveyed physician-owned and hospital/health system-affiliated primary care practices that achieved patient-centered medical home recognition and participated in the Meaningful Use program, and community health clinics with patient-centered medical home recognition (most with certified electronic health record systems). The response rate was 35.1%. We ascertained whether practices had implemented proposed objectives and perceptions of their importance. We analyzed the association of organizational and contextual factors with self-reported use of health IT to support care coordination activities. RESULTS: Although 78% of the 350 respondents viewed timely notification of hospital discharges as very important, only 48.7% used health IT systems to accomplish this task. The activity most frequently supported by health IT was providing clinical summaries to patients, in 76.6% of practices; however, merely 47.7% considered this activity very important. Greater use of health IT to support care coordination activities was positively associated with the presence of a nonclinician responsible for care coordination and the practice's capacity for systematic change. CONCLUSIONS: Even among practices having a strong commitment to the medical home model, the use of health IT to support care coordination objectives is not consistent. Health IT capabilities are not currently aligned with clinicians' priorities. Many practices will need financial and technical assistance for health IT to enhance care coordination.

2015 Edition Health Information Technology (Health IT) Certification Criteria, 2015 Edition Base Electronic Health Record (EHR) Definition, and ONC Health IT Certification Program Modifications. Final rule.

This final rule finalizes a new edition of certification criteria (the 2015 Edition health IT certification criteria or "2015 Edition'') and a new 2015 Edition Base Electronic Health Record (EHR) definition, while also modifying the ONC Health IT Certification Program to make it open and accessible to more types of health IT and health IT that supports various care and practice settings. The 2015 Edition establishes the capabilities and specifies the related standards and implementation specifications that Certified Electronic Health Record Technology (CEHRT) would need to include to, at a minimum, support the achievement of meaningful use by eligible professionals (EPs), eligible hospitals, and critical access hospitals (CAHs) under the Medicare and Medicaid EHR Incentive Programs (EHR Incentive Programs) when such edition is required for use under these programs.

[The role of Integrating the Healthcare Enterprise (IHE) in telemedicine]. / Die Rolle von Integrating the Healtcare Enterprise (IHE) in der Telemedizin.

BACKGROUND: Telemedicine systems are today already used in a variety of areas to improve patient care. The lack of standardization in those solutions creates a lack of interoperability of the systems. Internationally accepted standards can help to solve the lack of system interoperability. With Integrating the Healthcare Enterprise (IHE), a worldwide initiative of users and vendors is working on the use of defined standards for specific use cases by describing those use cases in so called IHE Profiles. OBJECTIVES: The aim of this work is to determine how telemedicine applications can be implemented using IHE profiles. METHODS: Based on a literature review, exemplary telemedicine applications are described and technical abilities of IHE Profiles are evaluated. These IHE Profiles are examined for their usability and are then evaluated in exemplary telemedicine application architectures. RESULTS: There are IHE Profiles which can be identified as being useful for intersectoral patient records (e.g. PEHR at Heidelberg), as well as for point to point communication where no patient record is involved. In the area of patient records, the IHE Profile "Cross-Enterprise Document Sharing (XDS)" is often used. The point to point communication can be supported using the IHE "Cross-Enterprise Document Media Interchange (XDM)". IHE-based telemedicine applications offer caregivers the possibility to be informed about their patients using data from intersectoral patient records, but also there are possible savings by reusing the standardized interfaces in other scenarios.

Who Can Enter Orders for Meaningful Use? An Evolving Challenge for Practice Managers.

Meeting the required objectives of the Medicare and Medicaid Electronic Health Record (EHR) Incentive Programs is a high priority for most medical practice managers and their employers and staff. Failure to meet even one of the objectives established by the Centers for Medicare & Medicaid Services (CMS) results in the eligible professional receiving no incentive payment. A key element of the Incentive Program rules is the requirement that only "credentialed medical assistants" (in addition to "licensed healthcare professionals") are permitted to enter medication, laboratory, and radiology/diagnostic imaging orders into the computerized provider order entry system and have such entry count toward meeting the CMS Meaningful Use threshold. The CMS rules for Stages 1 and 2 of the Incentive Programs are final, and proposed rules for Stage 3 were issued by CMS March 20, 2015. This article discusses the order entry requirements of the proposed Stage 3 rule, as well as the order entry provisions for Stages 1 and 2.

Quality assessment of data discrimination using self-organizing maps.

MOTIVATION: One of the important aspects of the data classification problem lies in making the most appropriate selection of features. The set of variables should be small and, at the same time, should provide reliable discrimination of the classes. The method for the discriminating power evaluation that enables a comparison between different sets of variables will be useful in the search for the set of variables. RESULTS: A new approach to feature selection is presented. Two methods of evaluation of the data discriminating power of a feature set are suggested. Both of the methods implement self-organizing maps (SOMs) and the newly introduced exponents of the degree of data clusterization on the SOM. The first method is based on the comparison of intraclass and interclass distances on the map. Another method concerns the evaluation of the relative number of best matching unit's (BMUs) nearest neighbors of the same class. Both methods make it possible to evaluate the discriminating power of a feature set in cases when this set provides nonlinear discrimination of the classes. AVAILABILITY: Current algorithms in program code can be downloaded for free at http://mekler.narod.ru/Science/Articles_support.html, as well as the supporting data files.

Stage 1 of the meaningful use incentive program for electronic health records: a study of readiness for change in ambulatory practice settings in one integrated delivery system.

BACKGROUND: Meaningful Use (MU) provides financial incentives for electronic health record (EHR) implementation. EHR implementation holds promise for improving healthcare delivery, but also requires substantial changes for providers and staff. Establishing readiness for these changes may be important for realizing potential EHR benefits. Our study assesses whether provider/staff perceptions about the appropriateness of MU and their departments' ability to support MU-related changes are associated with their reported readiness for MU-related changes. METHODS: We surveyed providers and staff representing 47 ambulatory practices within an integrated delivery system. We assessed whether respondent's role and practice-setting type (primary versus specialty care) were associated with reported readiness for MU (i.e., willingness to change practice behavior and ability to document actions for MU) and hypothesized predictors of readiness (i.e., perceived appropriateness of MU and department support for MU). We then assessed associations between reported readiness and the hypothesized predictors of readiness. RESULTS: In total, 400 providers/staff responded (response rate approximately 25%). Individuals working in specialty settings were more likely to report that MU will divert attention from other patient-care priorities (12.6% vs. 4.4%, p = 0.019), as compared to those in primary-care settings. As compared to advanced-practice providers and nursing staff, physicians were less likely to have strong confidence in their department's ability to solve MU implementation problems (28.4% vs. 47.1% vs. 42.6%, p = 0.023) and to report strong willingness to change their work practices for MU (57.9% vs. 83.3% vs. 82.0%, p < 0.001). Finally, provider/staff perceptions about whether MU aligns with departmental goals (OR = 3.99, 95% confidence interval (CI) = 2.13 to 7.48); MU will divert attention from other patient-care priorities (OR = 2.26, 95% CI = 1.26 to 4.06); their department will support MU-related change efforts (OR = 3.99, 95% CI = 2.13 to 7.48); and their department will be able to solve MU implementation problems (OR = 2.26, 95% CI = 1.26 to 4.06) were associated with their willingness to change practice behavior for MU. CONCLUSIONS: Organizational leaders should gauge provider/staff perceptions about appropriateness and management support of MU-related change, as these perceptions might be related to subsequent implementation.