Diane Hauser

Context Matters: The Experience of 14 Research Teams in Systematically Reporting Contextual Factors Important for Practice Change

PURPOSE We aimed to advance the internal and external validity of research by sharing our empirical experience and recommendations for systematically reporting contextual factors. METHODS Fourteen teams conducting research on primary care practice transformation retrospectively considered contextual factors important to interpreting their findings (internal validity) and transporting or reinventing their findings in other settings/situations (external validity). Each team provided a table or list of important contextual factors and interpretive text included as appendices to the articles in this supplement. Team members identified the most important contextual factors for their studies. We grouped the findings thematically and developed recommendations for reporting context. RESULTS The most important contextual factors sorted into 5 domains: (1) the practice setting, (2) the larger organization, (3) the external environment, (4) implementation pathway, and (5) the motivation for implementation. To understand context, investigators recommend (1) engaging diverse perspectives and data sources, (2) considering multiple levels, (3) evaluating history and evolution over time, (4) looking at formal and informal systems and culture, and (5) assessing the (often nonlinear) interactions between contextual factors and both the process and outcome of studies. We include a template with tabular and interpretive elements to help study teams engage research participants in reporting relevant context. CONCLUSIONS These findings demonstrate the feasibility and potential utility of identifying and reporting contextual factors. Involving diverse stakeholders in assessing context at multiple stages of the research process, examining their association with outcomes, and consistently reporting critical contextual factors are important challenges for a field interested in improving the internal and external validity and impact of health care research.

The IGNITE network: a model for genomic medicine implementation and research

BackgroundPatients, clinicians, researchers and payers are seeking to understand the value of using genomic information (as reflected by genotyping, sequencing, family history or other data) to inform clinical decision-making. However, challenges exist to widespread clinical implementation of genomic medicine, a prerequisite for developing evidence of its real-world utility.MethodsTo address these challenges, the National Institutes of Health-funded IGNITE (Implementing GeNomics In pracTicE; www.ignite-genomics.org) Network, comprised of six projects and a coordinating center, was established in 2013 to support the development, investigation and dissemination of genomic medicine practice models that seamlessly integrate genomic data into the electronic health record and that deploy tools for point of care decision making. IGNITE site projects are aligned in their purpose of testing these models, but individual projects vary in scope and design, including exploring genetic markers for disease risk prediction and prevention, developing tools for using family history data, incorporating pharmacogenomic data into clinical care, refining disease diagnosis using sequence-based mutation discovery, and creating novel educational approaches.ResultsThis paper describes the IGNITE Network and member projects, including network structure, collaborative initiatives, clinical decision support strategies, methods for return of genomic test results, and educational initiatives for patients and providers. Clinical and outcomes data from individual sites and network-wide projects are anticipated to begin being published over the next few years.ConclusionsThe IGNITE Network is an innovative series of projects and pilot demonstrations aiming to enhance translation of validated actionable genomic information into clinical settings and develop and use measures of outcome in response to genome-based clinical interventions using a pragmatic framework to provide early data and proofs of concept on the utility of these interventions. Through these efforts and collaboration with other stakeholders, IGNITE is poised to have a significant impact on the acceleration of genomic information into medical practice.

How is the electronic health record being used? Use of EHR data to assess physician-level variability in technology use

BACKGROUND Studies of the effects of electronic health records (EHRs) have had mixed findings, which may be attributable to unmeasured confounders such as individual variability in use of EHR features. OBJECTIVE To capture physician-level variations in use of EHR features, associations with other predictors, and usage intensity over time. METHODS Retrospective cohort study of primary care providers eligible for meaningful use at a network of federally qualified health centers, using commercial EHR data from January 2010 through June 2013, a period during which the organization was preparing for and in the early stages of meaningful use. RESULTS Data were analyzed for 112 physicians and nurse practitioners, consisting of 430,803 encounters with 99,649 patients. EHR usage metrics were developed to capture how providers accessed and added to patient data (eg, problem list updates), used clinical decision support (eg, responses to alerts), communicated (eg, printing after-visit summaries), and used panel management options (eg, viewed panel reports). Provider-level variability was high: for example, the annual average proportion of encounters with problem lists updated ranged from 5% to 60% per provider. Some metrics were associated with provider, patient, or encounter characteristics. For example, problem list updates were more likely for new patients than established ones, and alert acceptance was negatively correlated with alert frequency. CONCLUSIONS Providers using the same EHR developed personalized patterns of use of EHR features. We conclude that physician-level usage of EHR features may be a valuable additional predictor in research on the effects of EHRs on healthcare quality and costs.

Strengthening Public Health and Primary Care Collaboration Through Electronic Health Records

Electronic health records (EHRs) have great potential to serve as a catalyst for more effective coordination between public health departments and primary care providers (PCP) in maintaining healthy communities. As a system for documenting patient health data, EHRs can be harnessed to improve public health surveillance for communicable and chronic illnesses. EHRs facilitate clinical alerts informed by public health goals that guide primary care physicians in real time in their diagnosis and treatment of patients. As health departments reassess their public health agendas, the use of EHRs to facilitate this agenda in primary care settings should be considered. PCPs and EHR vendors, in turn, will need to configure their EHR systems and practice workflows to align with public health priorities as these agendas include increased involvement of primary care providers in addressing public health concerns.

Becoming a Patient-Centered Medical Home: A 9-Year Transition for a Network of Federally Qualified Health Centers

PURPOSE The patient-centered medical home (PCMH) model has great potential for optimizing the care of chronically ill patients, yet there is much to be learned about various implementations of this model and their impact on patient care processes and outcomes. METHODS We examined changes in patterns of health care use in a network of Federally Qualified Health Centers throughout a 9-year period of practice transformation that included recognition of all centers by the National Committee for Quality Assurance (NCQA) as Level 3 PCMH practices. We analyzed deidentified data from electronic health records for the period 2003 to 2011 to identify patterns of service use for all 4,595 patients with diabetes. We also examined a subsample of 545 patients who were in care throughout the study period to track improvement in glycated hemoglobin levels as a clinical measure over time. RESULTS Through the transition to a PCMH, the mean number of encounters with outreach, diabetes educators, and psychosocial services increased for all diabetic patients; virtually all patients had visits with a primary care clinician, but the mean number of visits decreased slightly. Among patients in the subsample, mean annual levels of glycated hemoglobin decreased steadily during the 9-year study period, mainly driven by a reduction in patients having baseline levels exceeding 9%. CONCLUSIONS This retrospective study conducted in a real-world setting using electronic health record data demonstrates a shift in resource use by diabetic patients from the primary care clinician to other members of the care team. The findings suggest that PCMH implementation has the potential to alter processes of care and improve outcomes of care, especially among those with higher disease burden.

Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system

BackgroundAlthough alert fatigue is blamed for high override rates in contemporary clinical decision support systems, the concept of alert fatigue is poorly defined. We tested hypotheses arising from two possible alert fatigue mechanisms: (A) cognitive overload associated with amount of work, complexity of work, and effort distinguishing informative from uninformative alerts, and (B) desensitization from repeated exposure to the same alert over time.MethodsRetrospective cohort study using electronic health record data (both drug alerts and clinical practice reminders) from January 2010 through June 2013 from 112 ambulatory primary care clinicians. The cognitive overload hypotheses were that alert acceptance would be lower with higher workload (number of encounters, number of patients), higher work complexity (patient comorbidity, alerts per encounter), and more alerts low in informational value (repeated alerts for the same patient in the same year). The desensitization hypothesis was that, for newly deployed alerts, acceptance rates would decline after an initial peak.ResultsOn average, one-quarter of drug alerts received by a primary care clinician, and one-third of clinical reminders, were repeats for the same patient within the same year. Alert acceptance was associated with work complexity and repeated alerts, but not with the amount of work. Likelihood of reminder acceptance dropped by 30% for each additional reminder received per encounter, and by 10% for each five percentage point increase in proportion of repeated reminders. The newly deployed reminders did not show a pattern of declining response rates over time, which would have been consistent with desensitization. Interestingly, nurse practitioners were 4 times as likely to accept drug alerts as physicians.ConclusionsClinicians became less likely to accept alerts as they received more of them, particularly more repeated alerts. There was no evidence of an effect of workload per se, or of desensitization over time for a newly deployed alert. Reducing within-patient repeats may be a promising target for reducing alert overrides and alert fatigue.

Using Information Technology to Improve Health Quality and Safety in Community Health Centers

Problem: Community health centers (CHCs) face a unique set of challenges and can learn much from each other as they prepare for the adoption of health information technology (HIT). Purpose: This paper presents a research agenda aimed at providing information CHCs will need to successfully implement HIT. Key Points: Community health centers must be able to evaluate whether an investment in HIT is the best way to achieve improvements in health outcomes for their communities given the limited resources and high demands they face. Community health centers need better information to guide them in selecting and implementing information technology that will result in improved health quality and safety. Guidance in optimal use of the system, particularly in the effective use of data made available through electronic health records, is needed to realize health care goals. Community health centers need to be active participants in HIT developments in their communities to ensure that their patients benefit from technological advancements that improve health care.

Teens, technology, and health care.

Teens are avid users of new technologies and social media. Nearly 95% of US adolescents are online at least occasionally. Health care professionals and organizations that work with teens should identify online health information that is both accurate and teen friendly. Early studies indicate that some of the new health technology tools are acceptable to teens, particularly texting, computer-based psychosocial screening, and online interventions. Technology is being used to provide sexual health education, medication reminders for contraception, and information on locally available health care services. This article reviews early and emerging studies of technology use to promote teen health.

Rationale and design of a comparative effectiveness trial of home- and clinic-based self-management support coaching for older adults with asthma.

Older adults with asthma face numerous barriers to effective self-management and asthma control, and experience worse outcomes than younger asthmatics. Yet, there have been no controlled trials of interventions specifically designed to improve their care and outcomes. Through a multi-stakeholder collaboration (patients, academia, community-based organizations, a state department of health, and an advocacy organization) we developed a multi-component asthma self-management support intervention to address the myriad psychosocial, functional, health status, and cognitive barriers to effective asthma self-management in adults ages 60 and older. We are recruiting 425 New Yorkers in Manhattan and the Bronx for a pragmatic randomized controlled trial with 3 arms: the intervention delivered in primary care settings or in their home, or usual care. In the intervention, care coaches use a novel screening tool to identify the specific barriers to asthma control and self-management they experience. Once identified, the coach and patient choose from a menu of actions to address it. The intervention emphasizes efficiency, flexibility, shared decision making and goal setting, communication strategies appropriate for individuals with limited cognition and literacy skills, and ongoing reinforcement and support. Additionally, we introduced asthma-specific enhancements to the electronic health records of all participating clinical practices, including an asthma severity assessment, clinical decision support, and a patient-tailored asthma action plan. Patients will be followed for 12months and interviewed at baseline, 3, 6, and 12months and data on emergency department visits and hospitalizations will be obtained through the New York State Statewide Planning and Research Cooperative System.

Implementing Institute of Medicine recommendations on collection of patient race, ethnicity, and language data in a community health center.

The Institute for Family Health is one of the first health care organizations to implement the 2009 Institute of Medicine recommendations on collection of patient race, ethnicity, and language data as a means of identifying and addressing health disparities. This paper describes the implementation process and lessons learned from the project.